id	sid	tid	token	lemma	pos
aijbe-50	1	1	type	type	NOUN
aijbe-50	1	2	of	of	ADP
aijbe-50	1	3	the	the	DET
aijbe-50	1	4	paper	paper	NOUN
aijbe-50	1	5	(	(	PUNCT
aijbe-50	1	6	article	article	NOUN
aijbe-50	1	7	american	american	PROPN
aijbe-50	1	8	interdisciplinary	interdisciplinary	PROPN
aijbe-50	1	9	journal	journal	PROPN
aijbe-50	1	10	of	of	ADP
aijbe-50	1	11	business	business	NOUN
aijbe-50	1	12	and	and	CCONJ
aijbe-50	1	13	economics	economic	NOUN
aijbe-50	1	14	issn	issn	PROPN
aijbe-50	1	15	:	:	PUNCT
aijbe-50	1	16	2837	2837	NUM
aijbe-50	1	17	-	-	SYM
aijbe-50	1	18	1909|	1909|	NUM
aijbe-50	1	19	impact	impact	NOUN
aijbe-50	1	20	factor	factor	NOUN
aijbe-50	1	21	:	:	PUNCT
aijbe-50	1	22	4.6	4.6	NUM
aijbe-50	1	23	volume	volume	NOUN
aijbe-50	1	24	.	.	PUNCT
aijbe-50	2	1	9	9	NUM
aijbe-50	2	2	,	,	PUNCT
aijbe-50	2	3	number	number	NOUN
aijbe-50	2	4	4	4	NUM
aijbe-50	2	5	;	;	PUNCT
aijbe-50	2	6	october	october	PROPN
aijbe-50	2	7	-	-	PUNCT
aijbe-50	2	8	december	december	PROPN
aijbe-50	2	9	,	,	PUNCT
aijbe-50	2	10	2022	2022	NUM
aijbe-50	2	11	;	;	PUNCT
aijbe-50	2	12	published	publish	VERB
aijbe-50	2	13	by	by	ADP
aijbe-50	2	14	:	:	PUNCT
aijbe-50	2	15	scientific	scientific	ADJ
aijbe-50	2	16	and	and	CCONJ
aijbe-50	2	17	academic	academic	ADJ
aijbe-50	2	18	development	development	PROPN
aijbe-50	2	19	institute	institute	PROPN
aijbe-50	2	20	(	(	PUNCT
aijbe-50	2	21	sadi	sadi	PROPN
aijbe-50	2	22	)	)	PUNCT
aijbe-50	2	23	8933	8933	NUM
aijbe-50	3	1	willis	willis	PROPN
aijbe-50	3	2	ave	ave	PROPN
aijbe-50	3	3	los	los	PROPN
aijbe-50	3	4	angeles	angeles	PROPN
aijbe-50	3	5	,	,	PUNCT
aijbe-50	3	6	california	california	PROPN
aijbe-50	3	7	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	NUM
aijbe-50	3	8	8	8	NUM
aijbe-50	3	9	american	american	ADJ
aijbe-50	3	10	interdisciplinary	interdisciplinary	ADJ
aijbe-50	3	11	journal	journal	NOUN
aijbe-50	3	12	of	of	ADP
aijbe-50	3	13	business	business	NOUN
aijbe-50	3	14	and	and	CCONJ
aijbe-50	3	15	economics	economic	NOUN
aijbe-50	3	16	|	|	ADV
aijbe-50	3	17	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	ADJ
aijbe-50	3	18	prophet	prophet	NOUN
aijbe-50	3	19	model	model	NOUN
aijbe-50	3	20	's	's	PART
aijbe-50	3	21	efficiency	efficiency	NOUN
aijbe-50	3	22	in	in	ADP
aijbe-50	3	23	short	short	ADJ
aijbe-50	3	24	-	-	PUNCT
aijbe-50	3	25	term	term	NOUN
aijbe-50	3	26	covid-19	covid-19	PROPN
aijbe-50	3	27	cumulative	cumulative	ADJ
aijbe-50	3	28	case	case	NOUN
aijbe-50	3	29	projections	projection	NOUN
aijbe-50	3	30	:	:	PUNCT
aijbe-50	3	31	g7	g7	PROPN
aijbe-50	3	32	countries	country	NOUN
aijbe-50	3	33	yeliz	yeliz	PROPN
aijbe-50	3	34	zoğal	zoğal	PROPN
aijbe-50	3	35	ankara	ankara	PROPN
aijbe-50	3	36	haci	haci	PROPN
aijbe-50	3	37	bayram	bayram	PROPN
aijbe-50	3	38	veli	veli	PROPN
aijbe-50	3	39	university	university	PROPN
aijbe-50	3	40	abstract	abstract	NOUN
aijbe-50	3	41	:	:	PUNCT
aijbe-50	3	42	the	the	DET
aijbe-50	3	43	covid-19	covid-19	PROPN
aijbe-50	3	44	pandemic	pandemic	NOUN
aijbe-50	3	45	has	have	AUX
aijbe-50	3	46	had	have	VERB
aijbe-50	3	47	a	a	DET
aijbe-50	3	48	significant	significant	ADJ
aijbe-50	3	49	impact	impact	NOUN
aijbe-50	3	50	on	on	ADP
aijbe-50	3	51	the	the	DET
aijbe-50	3	52	health	health	NOUN
aijbe-50	3	53	and	and	CCONJ
aijbe-50	3	54	well	well	ADV
aijbe-50	3	55	-	-	PUNCT
aijbe-50	3	56	being	being	NOUN
aijbe-50	3	57	of	of	ADP
aijbe-50	3	58	people	people	NOUN
aijbe-50	3	59	across	across	ADP
aijbe-50	3	60	the	the	DET
aijbe-50	3	61	globe	globe	NOUN
aijbe-50	3	62	,	,	PUNCT
aijbe-50	3	63	as	as	ADV
aijbe-50	3	64	well	well	ADV
aijbe-50	3	65	as	as	ADP
aijbe-50	3	66	the	the	DET
aijbe-50	3	67	global	global	ADJ
aijbe-50	3	68	economy	economy	NOUN
aijbe-50	3	69	at	at	ADP
aijbe-50	3	70	large	large	ADJ
aijbe-50	3	71	.	.	PUNCT
aijbe-50	4	1	it	it	PRON
aijbe-50	4	2	has	have	AUX
aijbe-50	4	3	become	become	VERB
aijbe-50	4	4	essential	essential	ADJ
aijbe-50	4	5	to	to	PART
aijbe-50	4	6	predict	predict	VERB
aijbe-50	4	7	the	the	DET
aijbe-50	4	8	spread	spread	NOUN
aijbe-50	4	9	of	of	ADP
aijbe-50	4	10	infectious	infectious	ADJ
aijbe-50	4	11	diseases	disease	NOUN
aijbe-50	4	12	like	like	ADP
aijbe-50	4	13	covid-19	covid-19	PROPN
aijbe-50	4	14	to	to	PART
aijbe-50	4	15	understand	understand	VERB
aijbe-50	4	16	its	its	PRON
aijbe-50	4	17	impact	impact	NOUN
aijbe-50	4	18	on	on	ADP
aijbe-50	4	19	public	public	ADJ
aijbe-50	4	20	health	health	NOUN
aijbe-50	4	21	and	and	CCONJ
aijbe-50	4	22	the	the	DET
aijbe-50	4	23	economy	economy	NOUN
aijbe-50	4	24	.	.	PUNCT
aijbe-50	5	1	this	this	DET
aijbe-50	5	2	study	study	NOUN
aijbe-50	5	3	analyzes	analyze	VERB
aijbe-50	5	4	shortterm	shortterm	PROPN
aijbe-50	5	5	predictions	prediction	NOUN
aijbe-50	5	6	of	of	ADP
aijbe-50	5	7	covid-19	covid-19	PROPN
aijbe-50	5	8	cases	case	NOUN
aijbe-50	5	9	in	in	ADP
aijbe-50	5	10	g7	g7	PROPN
aijbe-50	5	11	countries	country	NOUN
aijbe-50	5	12	using	use	VERB
aijbe-50	5	13	the	the	DET
aijbe-50	5	14	prophet	prophet	NOUN
aijbe-50	5	15	model	model	NOUN
aijbe-50	5	16	.	.	PUNCT
aijbe-50	6	1	the	the	DET
aijbe-50	6	2	model	model	NOUN
aijbe-50	6	3	uses	use	VERB
aijbe-50	6	4	a	a	DET
aijbe-50	6	5	trend	trend	NOUN
aijbe-50	6	6	function	function	NOUN
aijbe-50	6	7	,	,	PUNCT
aijbe-50	6	8	a	a	DET
aijbe-50	6	9	seasonality	seasonality	NOUN
aijbe-50	6	10	function	function	NOUN
aijbe-50	6	11	,	,	PUNCT
aijbe-50	6	12	and	and	CCONJ
aijbe-50	6	13	a	a	DET
aijbe-50	6	14	holiday	holiday	NOUN
aijbe-50	6	15	function	function	NOUN
aijbe-50	6	16	to	to	PART
aijbe-50	6	17	generate	generate	VERB
aijbe-50	6	18	accurate	accurate	ADJ
aijbe-50	6	19	short	short	ADJ
aijbe-50	6	20	-	-	PUNCT
aijbe-50	6	21	term	term	NOUN
aijbe-50	6	22	predictions	prediction	NOUN
aijbe-50	6	23	.	.	PUNCT
aijbe-50	7	1	the	the	DET
aijbe-50	7	2	study	study	NOUN
aijbe-50	7	3	compares	compare	VERB
aijbe-50	7	4	the	the	DET
aijbe-50	7	5	predictions	prediction	NOUN
aijbe-50	7	6	for	for	ADP
aijbe-50	7	7	g7	g7	PROPN
aijbe-50	7	8	countries	country	NOUN
aijbe-50	7	9	and	and	CCONJ
aijbe-50	7	10	finds	find	VERB
aijbe-50	7	11	that	that	SCONJ
aijbe-50	7	12	canada	canada	PROPN
aijbe-50	7	13	and	and	CCONJ
aijbe-50	7	14	germany	germany	PROPN
aijbe-50	7	15	had	have	VERB
aijbe-50	7	16	the	the	DET
aijbe-50	7	17	lowest	low	ADJ
aijbe-50	7	18	root	root	NOUN
aijbe-50	7	19	mean	mean	ADJ
aijbe-50	7	20	square	square	ADJ
aijbe-50	7	21	error	error	NOUN
aijbe-50	7	22	(	(	PUNCT
aijbe-50	7	23	rmse	rmse	ADJ
aijbe-50	7	24	)	)	PUNCT
aijbe-50	7	25	values	value	NOUN
aijbe-50	7	26	.	.	PUNCT
aijbe-50	8	1	the	the	DET
aijbe-50	8	2	economic	economic	ADJ
aijbe-50	8	3	and	and	CCONJ
aijbe-50	8	4	financial	financial	ADJ
aijbe-50	8	5	impacts	impact	NOUN
aijbe-50	8	6	of	of	ADP
aijbe-50	8	7	the	the	DET
aijbe-50	8	8	pandemic	pandemic	ADJ
aijbe-50	8	9	on	on	ADP
aijbe-50	8	10	global	global	ADJ
aijbe-50	8	11	supply	supply	NOUN
aijbe-50	8	12	chains	chain	NOUN
aijbe-50	8	13	,	,	PUNCT
aijbe-50	8	14	job	job	NOUN
aijbe-50	8	15	losses	loss	NOUN
aijbe-50	8	16	,	,	PUNCT
aijbe-50	8	17	and	and	CCONJ
aijbe-50	8	18	business	business	NOUN
aijbe-50	8	19	closures	closure	NOUN
aijbe-50	8	20	are	be	AUX
aijbe-50	8	21	also	also	ADV
aijbe-50	8	22	analyzed	analyze	VERB
aijbe-50	8	23	.	.	PUNCT
aijbe-50	9	1	the	the	DET
aijbe-50	9	2	study	study	NOUN
aijbe-50	9	3	highlights	highlight	VERB
aijbe-50	9	4	the	the	DET
aijbe-50	9	5	significant	significant	ADJ
aijbe-50	9	6	increase	increase	NOUN
aijbe-50	9	7	in	in	ADP
aijbe-50	9	8	public	public	ADJ
aijbe-50	9	9	debt	debt	NOUN
aijbe-50	9	10	due	due	ADP
aijbe-50	9	11	to	to	ADP
aijbe-50	9	12	largescale	largescale	ADJ
aijbe-50	9	13	fiscal	fiscal	ADJ
aijbe-50	9	14	stimulus	stimulus	NOUN
aijbe-50	9	15	packages	package	NOUN
aijbe-50	9	16	implemented	implement	VERB
aijbe-50	9	17	by	by	ADP
aijbe-50	9	18	governments	government	NOUN
aijbe-50	9	19	to	to	PART
aijbe-50	9	20	mitigate	mitigate	VERB
aijbe-50	9	21	the	the	DET
aijbe-50	9	22	economic	economic	ADJ
aijbe-50	9	23	impact	impact	NOUN
aijbe-50	9	24	of	of	ADP
aijbe-50	9	25	the	the	DET
aijbe-50	9	26	pandemic	pandemic	NOUN
aijbe-50	9	27	.	.	PUNCT
aijbe-50	10	1	the	the	DET
aijbe-50	10	2	study	study	NOUN
aijbe-50	10	3	emphasizes	emphasize	VERB
aijbe-50	10	4	that	that	SCONJ
aijbe-50	10	5	accurate	accurate	ADJ
aijbe-50	10	6	predictions	prediction	NOUN
aijbe-50	10	7	of	of	ADP
aijbe-50	10	8	the	the	DET
aijbe-50	10	9	spread	spread	ADJ
aijbe-50	10	10	mechanism	mechanism	NOUN
aijbe-50	10	11	are	be	AUX
aijbe-50	10	12	crucial	crucial	ADJ
aijbe-50	10	13	for	for	ADP
aijbe-50	10	14	managing	manage	VERB
aijbe-50	10	15	the	the	DET
aijbe-50	10	16	pandemic	pandemic	NOUN
aijbe-50	10	17	effectively	effectively	ADV
aijbe-50	10	18	and	and	CCONJ
aijbe-50	10	19	mitigating	mitigate	VERB
aijbe-50	10	20	its	its	PRON
aijbe-50	10	21	impact	impact	NOUN
aijbe-50	10	22	.	.	PUNCT
aijbe-50	11	1	the	the	DET
aijbe-50	11	2	literature	literature	PROPN
aijbe-50	11	3	review	review	NOUN
aijbe-50	11	4	of	of	ADP
aijbe-50	11	5	various	various	ADJ
aijbe-50	11	6	models	model	NOUN
aijbe-50	11	7	indicates	indicate	VERB
aijbe-50	11	8	the	the	DET
aijbe-50	11	9	importance	importance	NOUN
aijbe-50	11	10	of	of	ADP
aijbe-50	11	11	accurate	accurate	ADJ
aijbe-50	11	12	predictions	prediction	NOUN
aijbe-50	11	13	and	and	CCONJ
aijbe-50	11	14	the	the	DET
aijbe-50	11	15	difficulties	difficulty	NOUN
aijbe-50	11	16	in	in	ADP
aijbe-50	11	17	creating	create	VERB
aijbe-50	11	18	them	they	PRON
aijbe-50	11	19	.	.	PUNCT
aijbe-50	12	1	the	the	DET
aijbe-50	12	2	study	study	NOUN
aijbe-50	12	3	recommends	recommend	VERB
aijbe-50	12	4	the	the	DET
aijbe-50	12	5	use	use	NOUN
aijbe-50	12	6	of	of	ADP
aijbe-50	12	7	machine	machine	NOUN
aijbe-50	12	8	learning	learning	NOUN
aijbe-50	12	9	models	model	NOUN
aijbe-50	12	10	like	like	ADP
aijbe-50	12	11	the	the	DET
aijbe-50	12	12	prophet	prophet	NOUN
aijbe-50	12	13	model	model	NOUN
aijbe-50	12	14	to	to	PART
aijbe-50	12	15	generate	generate	VERB
aijbe-50	12	16	accurate	accurate	ADJ
aijbe-50	12	17	short	short	ADJ
aijbe-50	12	18	-	-	PUNCT
aijbe-50	12	19	term	term	NOUN
aijbe-50	12	20	predictions	prediction	NOUN
aijbe-50	12	21	to	to	PART
aijbe-50	12	22	combat	combat	VERB
aijbe-50	12	23	the	the	DET
aijbe-50	12	24	covid-19	covid-19	PROPN
aijbe-50	12	25	pandemic	pandemic	NOUN
aijbe-50	12	26	's	's	PART
aijbe-50	12	27	spread	spread	NOUN
aijbe-50	12	28	.	.	PUNCT
aijbe-50	13	1	keywords	keyword	NOUN
aijbe-50	13	2	:	:	PUNCT
aijbe-50	13	3	covid-19	covid-19	PROPN
aijbe-50	13	4	,	,	PUNCT
aijbe-50	13	5	prophet	prophet	NOUN
aijbe-50	13	6	model	model	NOUN
aijbe-50	13	7	,	,	PUNCT
aijbe-50	13	8	short	short	ADJ
aijbe-50	13	9	-	-	PUNCT
aijbe-50	13	10	term	term	NOUN
aijbe-50	13	11	predictions	prediction	NOUN
aijbe-50	13	12	,	,	PUNCT
aijbe-50	13	13	g7	g7	PROPN
aijbe-50	13	14	countries	country	NOUN
aijbe-50	13	15	,	,	PUNCT
aijbe-50	13	16	root	root	NOUN
aijbe-50	13	17	mean	mean	NOUN
aijbe-50	13	18	square	square	NOUN
aijbe-50	13	19	error	error	NOUN
aijbe-50	13	20	,	,	PUNCT
aijbe-50	13	21	economic	economic	ADJ
aijbe-50	13	22	impacts	impact	NOUN
aijbe-50	13	23	,	,	PUNCT
aijbe-50	13	24	global	global	ADJ
aijbe-50	13	25	supply	supply	NOUN
aijbe-50	13	26	chains	chain	NOUN
aijbe-50	13	27	,	,	PUNCT
aijbe-50	13	28	fiscal	fiscal	ADJ
aijbe-50	13	29	stimulus	stimulus	ADJ
aijbe-50	13	30	packages	package	NOUN
aijbe-50	13	31	,	,	PUNCT
aijbe-50	13	32	machine	machine	NOUN
aijbe-50	13	33	learning	learning	NOUN
aijbe-50	13	34	models	model	NOUN
aijbe-50	13	35	.	.	PUNCT
aijbe-50	14	1	1	1	X
aijbe-50	14	2	.	.	X
aijbe-50	14	3	introduction	introduction	NOUN
aijbe-50	14	4	in	in	ADP
aijbe-50	14	5	december	december	PROPN
aijbe-50	14	6	2019	2019	NUM
aijbe-50	14	7	,	,	PUNCT
aijbe-50	14	8	it	it	PRON
aijbe-50	14	9	was	be	AUX
aijbe-50	14	10	reported	report	VERB
aijbe-50	14	11	to	to	ADP
aijbe-50	14	12	the	the	DET
aijbe-50	14	13	world	world	NOUN
aijbe-50	14	14	that	that	PRON
aijbe-50	14	15	a	a	DET
aijbe-50	14	16	virus	virus	NOUN
aijbe-50	14	17	associated	associate	VERB
aijbe-50	14	18	with	with	ADP
aijbe-50	14	19	severe	severe	ADJ
aijbe-50	14	20	acute	acute	ADJ
aijbe-50	14	21	respiratory	respiratory	ADJ
aijbe-50	14	22	syndrome	syndrome	NOUN
aijbe-50	14	23	began	begin	VERB
aijbe-50	14	24	to	to	PART
aijbe-50	14	25	spread	spread	VERB
aijbe-50	14	26	across	across	ADP
aijbe-50	14	27	china	china	PROPN
aijbe-50	14	28	's	's	PART
aijbe-50	14	29	wuhan	wuhan	PROPN
aijbe-50	14	30	city	city	PROPN
aijbe-50	14	31	.	.	PUNCT
aijbe-50	15	1	this	this	DET
aijbe-50	15	2	virus	virus	NOUN
aijbe-50	15	3	,	,	PUNCT
aijbe-50	15	4	later	later	ADV
aijbe-50	15	5	named	name	VERB
aijbe-50	15	6	covid-19	covid-19	PROPN
aijbe-50	15	7	,	,	PUNCT
aijbe-50	15	8	has	have	AUX
aijbe-50	15	9	started	start	VERB
aijbe-50	15	10	to	to	PART
aijbe-50	15	11	spread	spread	VERB
aijbe-50	15	12	worldwide	worldwide	ADV
aijbe-50	15	13	,	,	PUNCT
aijbe-50	15	14	and	and	CCONJ
aijbe-50	15	15	cases	case	NOUN
aijbe-50	15	16	have	have	AUX
aijbe-50	15	17	become	become	VERB
aijbe-50	15	18	unpreventable	unpreventable	ADJ
aijbe-50	15	19	.	.	PUNCT
aijbe-50	16	1	in	in	ADP
aijbe-50	16	2	the	the	DET
aijbe-50	16	3	who	who	PRON
aijbe-50	16	4	director	director	NOUN
aijbe-50	16	5	general	general	NOUN
aijbe-50	16	6	’s	’s	PART
aijbe-50	16	7	statement	statement	NOUN
aijbe-50	16	8	on	on	ADP
aijbe-50	16	9	covid-19	covid-19	PROPN
aijbe-50	16	10	dated	date	VERB
aijbe-50	16	11	march	march	NOUN
aijbe-50	16	12	11	11	NUM
aijbe-50	16	13	,	,	PUNCT
aijbe-50	16	14	2020	2020	NUM
aijbe-50	16	15	,	,	PUNCT
aijbe-50	16	16	he	he	PRON
aijbe-50	16	17	stated	state	VERB
aijbe-50	16	18	that	that	SCONJ
aijbe-50	16	19	in	in	ADP
aijbe-50	16	20	two	two	NUM
aijbe-50	16	21	weeks	week	NOUN
aijbe-50	16	22	,	,	PUNCT
aijbe-50	16	23	the	the	DET
aijbe-50	16	24	number	number	NOUN
aijbe-50	16	25	of	of	ADP
aijbe-50	16	26	covid-19	covid-19	PROPN
aijbe-50	16	27	cases	case	NOUN
aijbe-50	16	28	increased	increase	VERB
aijbe-50	16	29	thirteen	thirteen	NUM
aijbe-50	16	30	times	time	NOUN
aijbe-50	16	31	,	,	PUNCT
aijbe-50	16	32	the	the	DET
aijbe-50	16	33	number	number	NOUN
aijbe-50	16	34	of	of	ADP
aijbe-50	16	35	affected	affected	ADJ
aijbe-50	16	36	countries	country	NOUN
aijbe-50	16	37	tripled	triple	VERB
aijbe-50	16	38	,	,	PUNCT
aijbe-50	16	39	there	there	PRON
aijbe-50	16	40	were	be	VERB
aijbe-50	16	41	more	more	ADJ
aijbe-50	16	42	than	than	ADP
aijbe-50	16	43	118,000	118,000	NUM
aijbe-50	16	44	cases	case	NOUN
aijbe-50	16	45	in	in	ADP
aijbe-50	16	46	114	114	NUM
aijbe-50	16	47	countries	country	NOUN
aijbe-50	16	48	and	and	CCONJ
aijbe-50	16	49	4,291	4,291	NUM
aijbe-50	16	50	people	people	NOUN
aijbe-50	16	51	died	die	VERB
aijbe-50	16	52	.	.	PUNCT
aijbe-50	17	1	the	the	DET
aijbe-50	17	2	unpreparedness	unpreparedness	NOUN
aijbe-50	17	3	of	of	ADP
aijbe-50	17	4	countries	country	NOUN
aijbe-50	17	5	for	for	ADP
aijbe-50	17	6	infectious	infectious	ADJ
aijbe-50	17	7	diseases	disease	NOUN
aijbe-50	17	8	has	have	AUX
aijbe-50	17	9	caused	cause	VERB
aijbe-50	17	10	them	they	PRON
aijbe-50	17	11	to	to	PART
aijbe-50	17	12	struggle	struggle	VERB
aijbe-50	17	13	with	with	ADP
aijbe-50	17	14	a	a	DET
aijbe-50	17	15	lack	lack	NOUN
aijbe-50	17	16	of	of	ADP
aijbe-50	17	17	capacity	capacity	NOUN
aijbe-50	17	18	,	,	PUNCT
aijbe-50	17	19	resources	resource	NOUN
aijbe-50	17	20	,	,	PUNCT
aijbe-50	17	21	and	and	CCONJ
aijbe-50	17	22	determination	determination	NOUN
aijbe-50	17	23	in	in	ADP
aijbe-50	17	24	general	general	ADJ
aijbe-50	17	25	,	,	PUNCT
aijbe-50	17	26	especially	especially	ADV
aijbe-50	17	27	in	in	ADP
aijbe-50	17	28	the	the	DET
aijbe-50	17	29	health	health	NOUN
aijbe-50	17	30	sector	sector	NOUN
aijbe-50	17	31	.	.	PUNCT
aijbe-50	18	1	in	in	ADP
aijbe-50	18	2	addition	addition	NOUN
aijbe-50	18	3	to	to	ADP
aijbe-50	18	4	the	the	DET
aijbe-50	18	5	severe	severe	ADJ
aijbe-50	18	6	impact	impact	NOUN
aijbe-50	18	7	of	of	ADP
aijbe-50	18	8	covid-19	covid-19	PROPN
aijbe-50	18	9	on	on	ADP
aijbe-50	18	10	healthcare	healthcare	PROPN
aijbe-50	18	11	systems	system	NOUN
aijbe-50	18	12	,	,	PUNCT
aijbe-50	18	13	the	the	DET
aijbe-50	18	14	pandemic	pandemic	NOUN
aijbe-50	18	15	has	have	AUX
aijbe-50	18	16	had	have	VERB
aijbe-50	18	17	a	a	DET
aijbe-50	18	18	significant	significant	ADJ
aijbe-50	18	19	and	and	CCONJ
aijbe-50	18	20	rapidly	rapidly	ADV
aijbe-50	18	21	escalating	escalate	VERB
aijbe-50	18	22	impact	impact	NOUN
aijbe-50	18	23	on	on	ADP
aijbe-50	18	24	the	the	DET
aijbe-50	18	25	world	world	NOUN
aijbe-50	18	26	economy	economy	NOUN
aijbe-50	18	27	and	and	CCONJ
aijbe-50	18	28	businesses	business	NOUN
aijbe-50	18	29	.	.	PUNCT
aijbe-50	19	1	the	the	DET
aijbe-50	19	2	covid-19	covid-19	PROPN
aijbe-50	19	3	pandemic	pandemic	NOUN
aijbe-50	19	4	has	have	AUX
aijbe-50	19	5	been	be	AUX
aijbe-50	19	6	ongoing	ongoing	ADJ
aijbe-50	19	7	for	for	ADP
aijbe-50	19	8	more	more	ADJ
aijbe-50	19	9	than	than	ADP
aijbe-50	19	10	three	three	NUM
aijbe-50	19	11	years	year	NOUN
aijbe-50	19	12	and	and	CCONJ
aijbe-50	19	13	continues	continue	VERB
aijbe-50	19	14	to	to	PART
aijbe-50	19	15	cause	cause	VERB
aijbe-50	19	16	significant	significant	ADJ
aijbe-50	19	17	health	health	NOUN
aijbe-50	19	18	and	and	CCONJ
aijbe-50	19	19	economic	economic	ADJ
aijbe-50	19	20	losses	loss	NOUN
aijbe-50	19	21	.	.	PUNCT
aijbe-50	20	1	according	accord	VERB
aijbe-50	20	2	to	to	ADP
aijbe-50	20	3	official	official	ADJ
aijbe-50	20	4	estimates	estimate	NOUN
aijbe-50	20	5	,	,	PUNCT
aijbe-50	20	6	more	more	ADJ
aijbe-50	20	7	than	than	ADP
aijbe-50	20	8	6	6	NUM
aijbe-50	20	9	million	million	NUM
aijbe-50	20	10	people	people	NOUN
aijbe-50	20	11	have	have	AUX
aijbe-50	20	12	died	die	VERB
aijbe-50	20	13	from	from	ADP
aijbe-50	20	14	the	the	DET
aijbe-50	20	15	virus	virus	NOUN
aijbe-50	20	16	,	,	PUNCT
aijbe-50	20	17	with	with	ADP
aijbe-50	20	18	studies	study	NOUN
aijbe-50	20	19	estimating	estimate	VERB
aijbe-50	20	20	the	the	DET
aijbe-50	20	21	actual	actual	ADJ
aijbe-50	20	22	death	death	NOUN
aijbe-50	20	23	toll	toll	NOUN
aijbe-50	20	24	to	to	PART
aijbe-50	20	25	be	be	AUX
aijbe-50	20	26	much	much	ADV
aijbe-50	20	27	higher	high	ADJ
aijbe-50	20	28	,	,	PUNCT
aijbe-50	20	29	ranging	range	VERB
aijbe-50	20	30	from	from	ADP
aijbe-50	20	31	16	16	NUM
aijbe-50	20	32	to	to	PART
aijbe-50	20	33	20	20	NUM
aijbe-50	20	34	million	million	NUM
aijbe-50	20	35	,	,	PUNCT
aijbe-50	20	36	which	which	PRON
aijbe-50	20	37	is	be	AUX
aijbe-50	20	38	approximately	approximately	ADV
aijbe-50	20	39	equal	equal	ADJ
aijbe-50	20	40	to	to	ADP
aijbe-50	20	41	that	that	PRON
aijbe-50	20	42	of	of	ADP
aijbe-50	20	43	world	world	PROPN
aijbe-50	20	44	war	war	PROPN
aijbe-50	20	45	i.	i.	PROPN
aijbe-50	20	46	according	accord	VERB
aijbe-50	20	47	to	to	ADP
aijbe-50	20	48	the	the	DET
aijbe-50	20	49	imf	imf	PROPN
aijbe-50	20	50	’s	’s	PART
aijbe-50	20	51	world	world	PROPN
aijbe-50	20	52	economic	economic	ADJ
aijbe-50	20	53	outlook	outlook	NOUN
aijbe-50	20	54	(	(	PUNCT
aijbe-50	20	55	2022	2022	NUM
aijbe-50	20	56	)	)	PUNCT
aijbe-50	20	57	,	,	PUNCT
aijbe-50	20	58	the	the	DET
aijbe-50	20	59	cumulative	cumulative	ADJ
aijbe-50	20	60	output	output	NOUN
aijbe-50	20	61	loss	loss	NOUN
aijbe-50	20	62	from	from	ADP
aijbe-50	20	63	the	the	DET
aijbe-50	20	64	pandemic	pandemic	NOUN
aijbe-50	20	65	through	through	ADP
aijbe-50	20	66	2024	2024	NUM
aijbe-50	20	67	is	be	AUX
aijbe-50	20	68	projected	project	VERB
aijbe-50	20	69	to	to	PART
aijbe-50	20	70	be	be	AUX
aijbe-50	20	71	about	about	ADP
aijbe-50	20	72	$	$	SYM
aijbe-50	20	73	13.8	13.8	NUM
aijbe-50	20	74	trillion	trillion	NUM
aijbe-50	20	75	and	and	CCONJ
aijbe-50	20	76	it	it	PRON
aijbe-50	20	77	is	be	AUX
aijbe-50	20	78	likely	likely	ADJ
aijbe-50	20	79	that	that	SCONJ
aijbe-50	20	80	the	the	DET
aijbe-50	20	81	actual	actual	ADJ
aijbe-50	20	82	loss	loss	NOUN
aijbe-50	20	83	will	will	AUX
aijbe-50	20	84	be	be	AUX
aijbe-50	20	85	even	even	ADV
aijbe-50	20	86	higher	high	ADJ
aijbe-50	20	87	.	.	PUNCT
aijbe-50	21	1	according	accord	VERB
aijbe-50	21	2	to	to	ADP
aijbe-50	21	3	the	the	DET
aijbe-50	21	4	world	world	NOUN
aijbe-50	21	5	economic	economic	ADJ
aijbe-50	21	6	outlook	outlook	NOUN
aijbe-50	21	7	(	(	PUNCT
aijbe-50	21	8	weo	weo	PROPN
aijbe-50	21	9	)	)	PUNCT
aijbe-50	21	10	report	report	NOUN
aijbe-50	21	11	published	publish	VERB
aijbe-50	21	12	in	in	ADP
aijbe-50	21	13	october	october	PROPN
aijbe-50	21	14	2021	2021	NUM
aijbe-50	21	15	,	,	PUNCT
aijbe-50	21	16	the	the	DET
aijbe-50	21	17	economic	economic	ADJ
aijbe-50	21	18	contraction	contraction	NOUN
aijbe-50	21	19	for	for	ADP
aijbe-50	21	20	g7	g7	PROPN
aijbe-50	21	21	countries	country	NOUN
aijbe-50	21	22	is	be	AUX
aijbe-50	21	23	as	as	SCONJ
aijbe-50	21	24	follows	follow	VERB
aijbe-50	21	25	:	:	PUNCT
aijbe-50	21	26	germany	germany	PROPN
aijbe-50	21	27	at	at	ADP
aijbe-50	21	28	4.6	4.6	NUM
aijbe-50	21	29	%	%	NOUN
aijbe-50	21	30	,	,	PUNCT
aijbe-50	21	31	france	france	PROPN
aijbe-50	21	32	at	at	ADP
aijbe-50	21	33	8	8	NUM
aijbe-50	21	34	%	%	NOUN
aijbe-50	21	35	,	,	PUNCT
aijbe-50	21	36	italy	italy	PROPN
aijbe-50	21	37	at	at	ADP
aijbe-50	21	38	8.9	8.9	NUM
aijbe-50	21	39	%	%	NOUN
aijbe-50	21	40	,	,	PUNCT
aijbe-50	21	41	united	united	ADJ
aijbe-50	21	42	kingdom	kingdom	PROPN
aijbe-50	21	43	at	at	ADP
aijbe-50	21	44	9.8	9.8	NUM
aijbe-50	21	45	%	%	NOUN
aijbe-50	21	46	,	,	PUNCT
aijbe-50	21	47	united	united	PROPN
aijbe-50	21	48	states	states	PROPN
aijbe-50	21	49	at	at	ADP
aijbe-50	21	50	4.3	4.3	NUM
aijbe-50	21	51	%	%	NOUN
aijbe-50	21	52	,	,	PUNCT
aijbe-50	21	53	canada	canada	PROPN
aijbe-50	21	54	at	at	ADP
aijbe-50	21	55	5.3	5.3	NUM
aijbe-50	21	56	%	%	NOUN
aijbe-50	21	57	,	,	PUNCT
aijbe-50	21	58	and	and	CCONJ
aijbe-50	21	59	japan	japan	PROPN
aijbe-50	21	60	at	at	ADP
aijbe-50	21	61	4.6	4.6	NUM
aijbe-50	21	62	%	%	NOUN
aijbe-50	21	63	.	.	PUNCT
aijbe-50	22	1	in	in	ADP
aijbe-50	22	2	g7	g7	PROPN
aijbe-50	22	3	yeliz	yeliz	PROPN
aijbe-50	22	4	zoğal	zoğal	PROPN
aijbe-50	22	5	(	(	PUNCT
aijbe-50	22	6	2022	2022	NUM
aijbe-50	22	7	)	)	PUNCT
aijbe-50	22	8	9	9	NUM
aijbe-50	22	9	american	american	ADJ
aijbe-50	22	10	interdisciplinary	interdisciplinary	ADJ
aijbe-50	22	11	journal	journal	NOUN
aijbe-50	22	12	of	of	ADP
aijbe-50	22	13	business	business	NOUN
aijbe-50	22	14	and	and	CCONJ
aijbe-50	22	15	economics	economic	NOUN
aijbe-50	22	16	|	|	ADV
aijbe-50	22	17	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	X
aijbe-50	22	18	countries	country	NOUN
aijbe-50	22	19	,	,	PUNCT
aijbe-50	22	20	the	the	DET
aijbe-50	22	21	pandemic	pandemic	NOUN
aijbe-50	22	22	has	have	AUX
aijbe-50	22	23	led	lead	VERB
aijbe-50	22	24	to	to	ADP
aijbe-50	22	25	a	a	DET
aijbe-50	22	26	significant	significant	ADJ
aijbe-50	22	27	increase	increase	NOUN
aijbe-50	22	28	in	in	ADP
aijbe-50	22	29	unemployment	unemployment	NOUN
aijbe-50	22	30	and	and	CCONJ
aijbe-50	22	31	a	a	DET
aijbe-50	22	32	decrease	decrease	NOUN
aijbe-50	22	33	in	in	ADP
aijbe-50	22	34	economic	economic	ADJ
aijbe-50	22	35	activity	activity	NOUN
aijbe-50	22	36	.	.	PUNCT
aijbe-50	23	1	g7	g7	PROPN
aijbe-50	23	2	countries	country	NOUN
aijbe-50	23	3	have	have	AUX
aijbe-50	23	4	also	also	ADV
aijbe-50	23	5	seen	see	VERB
aijbe-50	23	6	a	a	DET
aijbe-50	23	7	decline	decline	NOUN
aijbe-50	23	8	in	in	ADP
aijbe-50	23	9	consumer	consumer	NOUN
aijbe-50	23	10	spending	spending	NOUN
aijbe-50	23	11	,	,	PUNCT
aijbe-50	23	12	particularly	particularly	ADV
aijbe-50	23	13	in	in	ADP
aijbe-50	23	14	sectors	sector	NOUN
aijbe-50	23	15	such	such	ADJ
aijbe-50	23	16	as	as	ADP
aijbe-50	23	17	travel	travel	NOUN
aijbe-50	23	18	and	and	CCONJ
aijbe-50	23	19	tourism	tourism	NOUN
aijbe-50	23	20	.	.	PUNCT
aijbe-50	24	1	the	the	DET
aijbe-50	24	2	economic	economic	ADJ
aijbe-50	24	3	impact	impact	NOUN
aijbe-50	24	4	of	of	ADP
aijbe-50	24	5	the	the	DET
aijbe-50	24	6	covid-19	covid-19	PROPN
aijbe-50	24	7	pandemic	pandemic	NOUN
aijbe-50	24	8	has	have	AUX
aijbe-50	24	9	been	be	AUX
aijbe-50	24	10	very	very	ADV
aijbe-50	24	11	severe	severe	ADJ
aijbe-50	24	12	and	and	CCONJ
aijbe-50	24	13	has	have	AUX
aijbe-50	24	14	occurred	occur	VERB
aijbe-50	24	15	much	much	ADV
aijbe-50	24	16	more	more	ADV
aijbe-50	24	17	rapidly	rapidly	ADV
aijbe-50	24	18	than	than	ADP
aijbe-50	24	19	the	the	DET
aijbe-50	24	20	2008	2008	NUM
aijbe-50	24	21	global	global	ADJ
aijbe-50	24	22	financial	financial	ADJ
aijbe-50	24	23	crisis	crisis	NOUN
aijbe-50	24	24	(	(	PUNCT
aijbe-50	24	25	gfc	gfc	NOUN
aijbe-50	24	26	)	)	PUNCT
aijbe-50	24	27	and	and	CCONJ
aijbe-50	24	28	the	the	DET
aijbe-50	24	29	great	great	ADJ
aijbe-50	24	30	depression	depression	NOUN
aijbe-50	24	31	.	.	PUNCT
aijbe-50	25	1	the	the	DET
aijbe-50	25	2	rapid	rapid	ADJ
aijbe-50	25	3	spread	spread	NOUN
aijbe-50	25	4	of	of	ADP
aijbe-50	25	5	the	the	DET
aijbe-50	25	6	virus	virus	NOUN
aijbe-50	25	7	and	and	CCONJ
aijbe-50	25	8	the	the	DET
aijbe-50	25	9	measures	measure	NOUN
aijbe-50	25	10	put	put	VERB
aijbe-50	25	11	in	in	ADP
aijbe-50	25	12	place	place	NOUN
aijbe-50	25	13	to	to	PART
aijbe-50	25	14	control	control	VERB
aijbe-50	25	15	it	it	PRON
aijbe-50	25	16	have	have	AUX
aijbe-50	25	17	led	lead	VERB
aijbe-50	25	18	to	to	ADP
aijbe-50	25	19	widespread	widespread	ADJ
aijbe-50	25	20	job	job	NOUN
aijbe-50	25	21	losses	loss	NOUN
aijbe-50	25	22	and	and	CCONJ
aijbe-50	25	23	business	business	NOUN
aijbe-50	25	24	closures	closure	NOUN
aijbe-50	25	25	,	,	PUNCT
aijbe-50	25	26	disruptions	disruption	NOUN
aijbe-50	25	27	in	in	ADP
aijbe-50	25	28	global	global	ADJ
aijbe-50	25	29	supply	supply	NOUN
aijbe-50	25	30	chains	chain	NOUN
aijbe-50	25	31	,	,	PUNCT
aijbe-50	25	32	and	and	CCONJ
aijbe-50	25	33	a	a	DET
aijbe-50	25	34	decline	decline	NOUN
aijbe-50	25	35	in	in	ADP
aijbe-50	25	36	economic	economic	ADJ
aijbe-50	25	37	activity	activity	NOUN
aijbe-50	25	38	.	.	PUNCT
aijbe-50	26	1	in	in	ADP
aijbe-50	26	2	the	the	DET
aijbe-50	26	3	2008	2008	NUM
aijbe-50	26	4	gfc	gfc	NOUN
aijbe-50	26	5	and	and	CCONJ
aijbe-50	26	6	the	the	DET
aijbe-50	26	7	great	great	ADJ
aijbe-50	26	8	depression	depression	NOUN
aijbe-50	26	9	,	,	PUNCT
aijbe-50	26	10	stock	stock	NOUN
aijbe-50	26	11	markets	market	NOUN
aijbe-50	26	12	collapsed	collapse	VERB
aijbe-50	26	13	by	by	ADP
aijbe-50	26	14	50	50	NUM
aijbe-50	26	15	%	%	NOUN
aijbe-50	26	16	or	or	CCONJ
aijbe-50	26	17	more	more	ADJ
aijbe-50	26	18	,	,	PUNCT
aijbe-50	26	19	credit	credit	NOUN
aijbe-50	26	20	markets	market	NOUN
aijbe-50	26	21	froze	freeze	VERB
aijbe-50	26	22	up	up	ADP
aijbe-50	26	23	,	,	PUNCT
aijbe-50	26	24	massive	massive	ADJ
aijbe-50	26	25	bankruptcies	bankruptcy	NOUN
aijbe-50	26	26	followed	follow	VERB
aijbe-50	26	27	,	,	PUNCT
aijbe-50	26	28	unemployment	unemployment	NOUN
aijbe-50	26	29	rates	rate	NOUN
aijbe-50	26	30	soared	soar	VERB
aijbe-50	26	31	above	above	ADP
aijbe-50	26	32	10	10	NUM
aijbe-50	26	33	%	%	NOUN
aijbe-50	26	34	,	,	PUNCT
aijbe-50	26	35	and	and	CCONJ
aijbe-50	26	36	gdp	gdp	NOUN
aijbe-50	26	37	contracted	contract	VERB
aijbe-50	26	38	at	at	ADP
aijbe-50	26	39	an	an	DET
aijbe-50	26	40	annualized	annualize	VERB
aijbe-50	26	41	rate	rate	NOUN
aijbe-50	26	42	of	of	ADP
aijbe-50	26	43	10	10	NUM
aijbe-50	26	44	%	%	NOUN
aijbe-50	26	45	or	or	CCONJ
aijbe-50	26	46	more	more	ADJ
aijbe-50	26	47	,	,	PUNCT
aijbe-50	26	48	but	but	CCONJ
aijbe-50	26	49	all	all	PRON
aijbe-50	26	50	of	of	ADP
aijbe-50	26	51	this	this	PRON
aijbe-50	26	52	took	take	VERB
aijbe-50	26	53	around	around	ADV
aijbe-50	26	54	three	three	NUM
aijbe-50	26	55	years	year	NOUN
aijbe-50	26	56	to	to	PART
aijbe-50	26	57	play	play	VERB
aijbe-50	26	58	out	out	ADP
aijbe-50	26	59	.	.	PUNCT
aijbe-50	27	1	while	while	SCONJ
aijbe-50	27	2	in	in	ADP
aijbe-50	27	3	the	the	DET
aijbe-50	27	4	current	current	ADJ
aijbe-50	27	5	crisis	crisis	NOUN
aijbe-50	27	6	,	,	PUNCT
aijbe-50	27	7	similarly	similarly	ADV
aijbe-50	27	8	dire	dire	VERB
aijbe-50	27	9	macroeconomic	macroeconomic	ADJ
aijbe-50	27	10	and	and	CCONJ
aijbe-50	27	11	financial	financial	ADJ
aijbe-50	27	12	outcomes	outcome	NOUN
aijbe-50	27	13	have	have	AUX
aijbe-50	27	14	materialized	materialize	VERB
aijbe-50	27	15	in	in	ADP
aijbe-50	27	16	a	a	DET
aijbe-50	27	17	much	much	ADV
aijbe-50	27	18	shorter	short	ADJ
aijbe-50	27	19	period	period	NOUN
aijbe-50	27	20	,	,	PUNCT
aijbe-50	27	21	in	in	ADP
aijbe-50	27	22	some	some	DET
aijbe-50	27	23	cases	case	NOUN
aijbe-50	27	24	,	,	PUNCT
aijbe-50	27	25	just	just	ADV
aijbe-50	27	26	three	three	NUM
aijbe-50	27	27	weeks	week	NOUN
aijbe-50	27	28	.	.	PUNCT
aijbe-50	28	1	the	the	DET
aijbe-50	28	2	speed	speed	NOUN
aijbe-50	28	3	of	of	ADP
aijbe-50	28	4	the	the	DET
aijbe-50	28	5	economic	economic	ADJ
aijbe-50	28	6	downturn	downturn	NOUN
aijbe-50	28	7	caused	cause	VERB
aijbe-50	28	8	by	by	ADP
aijbe-50	28	9	the	the	DET
aijbe-50	28	10	covid-19	covid-19	PROPN
aijbe-50	28	11	pandemic	pandemic	NOUN
aijbe-50	28	12	is	be	AUX
aijbe-50	28	13	largely	largely	ADV
aijbe-50	28	14	due	due	ADJ
aijbe-50	28	15	to	to	ADP
aijbe-50	28	16	the	the	DET
aijbe-50	28	17	rapid	rapid	ADJ
aijbe-50	28	18	spread	spread	NOUN
aijbe-50	28	19	of	of	ADP
aijbe-50	28	20	the	the	DET
aijbe-50	28	21	virus	virus	NOUN
aijbe-50	28	22	and	and	CCONJ
aijbe-50	28	23	the	the	DET
aijbe-50	28	24	measures	measure	NOUN
aijbe-50	28	25	put	put	VERB
aijbe-50	28	26	in	in	ADP
aijbe-50	28	27	place	place	NOUN
aijbe-50	28	28	to	to	PART
aijbe-50	28	29	control	control	VERB
aijbe-50	28	30	it	it	PRON
aijbe-50	28	31	.	.	PUNCT
aijbe-50	29	1	the	the	DET
aijbe-50	29	2	pandemic	pandemic	NOUN
aijbe-50	29	3	has	have	AUX
aijbe-50	29	4	also	also	ADV
aijbe-50	29	5	led	lead	VERB
aijbe-50	29	6	to	to	ADP
aijbe-50	29	7	a	a	DET
aijbe-50	29	8	significant	significant	ADJ
aijbe-50	29	9	increase	increase	NOUN
aijbe-50	29	10	in	in	ADP
aijbe-50	29	11	public	public	ADJ
aijbe-50	29	12	debt	debt	NOUN
aijbe-50	29	13	as	as	SCONJ
aijbe-50	29	14	governments	government	NOUN
aijbe-50	29	15	have	have	AUX
aijbe-50	29	16	implemented	implement	VERB
aijbe-50	29	17	large	large	ADJ
aijbe-50	29	18	-	-	PUNCT
aijbe-50	29	19	scale	scale	NOUN
aijbe-50	29	20	fiscal	fiscal	ADJ
aijbe-50	29	21	stimulus	stimulus	NOUN
aijbe-50	29	22	packages	package	NOUN
aijbe-50	29	23	to	to	PART
aijbe-50	29	24	mitigate	mitigate	VERB
aijbe-50	29	25	the	the	DET
aijbe-50	29	26	economic	economic	ADJ
aijbe-50	29	27	impact	impact	NOUN
aijbe-50	29	28	of	of	ADP
aijbe-50	29	29	the	the	DET
aijbe-50	29	30	pandemic	pandemic	NOUN
aijbe-50	29	31	.	.	PUNCT
aijbe-50	30	1	the	the	DET
aijbe-50	30	2	covid-19	covid-19	PROPN
aijbe-50	30	3	crisis	crisis	NOUN
aijbe-50	30	4	has	have	AUX
aijbe-50	30	5	brought	bring	VERB
aijbe-50	30	6	an	an	DET
aijbe-50	30	7	unprecedented	unprecedented	ADJ
aijbe-50	30	8	shock	shock	NOUN
aijbe-50	30	9	to	to	ADP
aijbe-50	30	10	the	the	DET
aijbe-50	30	11	labor	labor	NOUN
aijbe-50	30	12	market	market	NOUN
aijbe-50	30	13	and	and	CCONJ
aijbe-50	30	14	has	have	AUX
aijbe-50	30	15	led	lead	VERB
aijbe-50	30	16	to	to	ADP
aijbe-50	30	17	an	an	DET
aijbe-50	30	18	unemployment	unemployment	NOUN
aijbe-50	30	19	crisis	crisis	NOUN
aijbe-50	30	20	.	.	PUNCT
aijbe-50	31	1	restrictions	restriction	NOUN
aijbe-50	31	2	and	and	CCONJ
aijbe-50	31	3	lockdowns	lockdown	NOUN
aijbe-50	31	4	implemented	implement	VERB
aijbe-50	31	5	since	since	SCONJ
aijbe-50	31	6	march	march	PROPN
aijbe-50	31	7	2020	2020	NUM
aijbe-50	31	8	,	,	PUNCT
aijbe-50	31	9	as	as	ADV
aijbe-50	31	10	well	well	ADV
aijbe-50	31	11	as	as	ADP
aijbe-50	31	12	the	the	DET
aijbe-50	31	13	decline	decline	NOUN
aijbe-50	31	14	in	in	ADP
aijbe-50	31	15	demand	demand	NOUN
aijbe-50	31	16	caused	cause	VERB
aijbe-50	31	17	by	by	ADP
aijbe-50	31	18	the	the	DET
aijbe-50	31	19	pandemic	pandemic	NOUN
aijbe-50	31	20	,	,	PUNCT
aijbe-50	31	21	have	have	AUX
aijbe-50	31	22	led	lead	VERB
aijbe-50	31	23	to	to	ADP
aijbe-50	31	24	millions	million	NOUN
aijbe-50	31	25	of	of	ADP
aijbe-50	31	26	job	job	NOUN
aijbe-50	31	27	losses	loss	NOUN
aijbe-50	31	28	around	around	ADP
aijbe-50	31	29	the	the	DET
aijbe-50	31	30	world	world	NOUN
aijbe-50	31	31	.	.	PUNCT
aijbe-50	32	1	although	although	SCONJ
aijbe-50	32	2	some	some	DET
aijbe-50	32	3	measures	measure	NOUN
aijbe-50	32	4	taken	take	VERB
aijbe-50	32	5	to	to	PART
aijbe-50	32	6	prevent	prevent	VERB
aijbe-50	32	7	the	the	DET
aijbe-50	32	8	spread	spread	NOUN
aijbe-50	32	9	of	of	ADP
aijbe-50	32	10	the	the	DET
aijbe-50	32	11	virus	virus	NOUN
aijbe-50	32	12	have	have	AUX
aijbe-50	32	13	allowed	allow	VERB
aijbe-50	32	14	some	some	DET
aijbe-50	32	15	people	people	NOUN
aijbe-50	32	16	to	to	PART
aijbe-50	32	17	work	work	VERB
aijbe-50	32	18	from	from	ADP
aijbe-50	32	19	home	home	NOUN
aijbe-50	32	20	,	,	PUNCT
aijbe-50	32	21	in	in	ADP
aijbe-50	32	22	most	most	ADJ
aijbe-50	32	23	countries	country	NOUN
aijbe-50	32	24	it	it	PRON
aijbe-50	32	25	has	have	AUX
aijbe-50	32	26	caused	cause	VERB
aijbe-50	32	27	unemployment	unemployment	NOUN
aijbe-50	32	28	.	.	PUNCT
aijbe-50	33	1	the	the	DET
aijbe-50	33	2	visible	visible	ADJ
aijbe-50	33	3	contraction	contraction	NOUN
aijbe-50	33	4	in	in	ADP
aijbe-50	33	5	the	the	DET
aijbe-50	33	6	economy	economy	NOUN
aijbe-50	33	7	is	be	AUX
aijbe-50	33	8	reflected	reflect	VERB
aijbe-50	33	9	in	in	ADP
aijbe-50	33	10	the	the	DET
aijbe-50	33	11	unemployment	unemployment	NOUN
aijbe-50	33	12	rates	rate	NOUN
aijbe-50	33	13	.	.	PUNCT
aijbe-50	34	1	according	accord	VERB
aijbe-50	34	2	to	to	ADP
aijbe-50	34	3	the	the	DET
aijbe-50	34	4	imf	imf	PROPN
aijbe-50	34	5	's	's	PART
aijbe-50	34	6	report	report	NOUN
aijbe-50	34	7	in	in	ADP
aijbe-50	34	8	2021	2021	NUM
aijbe-50	34	9	,	,	PUNCT
aijbe-50	34	10	the	the	DET
aijbe-50	34	11	unemployment	unemployment	NOUN
aijbe-50	34	12	rate	rate	NOUN
aijbe-50	34	13	in	in	ADP
aijbe-50	34	14	g7	g7	PROPN
aijbe-50	34	15	countries	country	NOUN
aijbe-50	34	16	is	be	AUX
aijbe-50	34	17	germany	germany	PROPN
aijbe-50	34	18	at	at	ADP
aijbe-50	34	19	3.8	3.8	NUM
aijbe-50	34	20	%	%	NOUN
aijbe-50	34	21	,	,	PUNCT
aijbe-50	34	22	france	france	PROPN
aijbe-50	34	23	at	at	ADP
aijbe-50	34	24	8	8	NUM
aijbe-50	34	25	%	%	NOUN
aijbe-50	34	26	,	,	PUNCT
aijbe-50	34	27	italy	italy	PROPN
aijbe-50	34	28	at	at	ADP
aijbe-50	34	29	9.3	9.3	NUM
aijbe-50	34	30	%	%	NOUN
aijbe-50	34	31	,	,	PUNCT
aijbe-50	34	32	united	united	ADJ
aijbe-50	34	33	kingdom	kingdom	PROPN
aijbe-50	34	34	at	at	ADP
aijbe-50	34	35	4.5	4.5	NUM
aijbe-50	34	36	%	%	NOUN
aijbe-50	34	37	,	,	PUNCT
aijbe-50	34	38	united	united	PROPN
aijbe-50	34	39	states	states	PROPN
aijbe-50	34	40	at	at	ADP
aijbe-50	34	41	8.1	8.1	NUM
aijbe-50	34	42	%	%	NOUN
aijbe-50	34	43	,	,	PUNCT
aijbe-50	34	44	canada	canada	PROPN
aijbe-50	34	45	at	at	ADP
aijbe-50	34	46	9.6	9.6	NUM
aijbe-50	34	47	%	%	NOUN
aijbe-50	34	48	and	and	CCONJ
aijbe-50	34	49	japan	japan	PROPN
aijbe-50	34	50	at	at	ADP
aijbe-50	34	51	2.8	2.8	NUM
aijbe-50	34	52	%	%	NOUN
aijbe-50	34	53	.	.	PUNCT
aijbe-50	35	1	in	in	ADP
aijbe-50	35	2	addition	addition	NOUN
aijbe-50	35	3	to	to	ADP
aijbe-50	35	4	the	the	DET
aijbe-50	35	5	hike	hike	NOUN
aijbe-50	35	6	in	in	ADP
aijbe-50	35	7	unemployment	unemployment	NOUN
aijbe-50	35	8	rates	rate	NOUN
aijbe-50	35	9	,	,	PUNCT
aijbe-50	35	10	the	the	DET
aijbe-50	35	11	profound	profound	ADJ
aijbe-50	35	12	effect	effect	NOUN
aijbe-50	35	13	has	have	AUX
aijbe-50	35	14	started	start	VERB
aijbe-50	35	15	to	to	PART
aijbe-50	35	16	increase	increase	VERB
aijbe-50	35	17	income	income	NOUN
aijbe-50	35	18	inequalities	inequality	NOUN
aijbe-50	35	19	and	and	CCONJ
aijbe-50	35	20	poverty	poverty	NOUN
aijbe-50	35	21	,	,	PUNCT
aijbe-50	35	22	which	which	PRON
aijbe-50	35	23	was	be	AUX
aijbe-50	35	24	estimated	estimate	VERB
aijbe-50	35	25	as	as	ADP
aijbe-50	35	26	more	more	ADJ
aijbe-50	35	27	71	71	NUM
aijbe-50	35	28	million	million	NUM
aijbe-50	35	29	people	people	NOUN
aijbe-50	35	30	as	as	ADP
aijbe-50	35	31	of	of	ADP
aijbe-50	35	32	march	march	PROPN
aijbe-50	35	33	2021	2021	NUM
aijbe-50	35	34	.	.	PUNCT
aijbe-50	36	1	the	the	DET
aijbe-50	36	2	outbreak	outbreak	NOUN
aijbe-50	36	3	of	of	ADP
aijbe-50	36	4	covid-19	covid-19	PROPN
aijbe-50	36	5	has	have	AUX
aijbe-50	36	6	had	have	VERB
aijbe-50	36	7	a	a	DET
aijbe-50	36	8	significant	significant	ADJ
aijbe-50	36	9	impact	impact	NOUN
aijbe-50	36	10	on	on	ADP
aijbe-50	36	11	global	global	ADJ
aijbe-50	36	12	supply	supply	NOUN
aijbe-50	36	13	chains	chain	NOUN
aijbe-50	36	14	.	.	PUNCT
aijbe-50	37	1	the	the	DET
aijbe-50	37	2	disruption	disruption	NOUN
aijbe-50	37	3	of	of	ADP
aijbe-50	37	4	transportation	transportation	NOUN
aijbe-50	37	5	and	and	CCONJ
aijbe-50	37	6	production	production	NOUN
aijbe-50	37	7	caused	cause	VERB
aijbe-50	37	8	by	by	ADP
aijbe-50	37	9	lockdowns	lockdown	NOUN
aijbe-50	37	10	and	and	CCONJ
aijbe-50	37	11	other	other	ADJ
aijbe-50	37	12	measures	measure	NOUN
aijbe-50	37	13	taken	take	VERB
aijbe-50	37	14	to	to	PART
aijbe-50	37	15	contain	contain	VERB
aijbe-50	37	16	the	the	DET
aijbe-50	37	17	spread	spread	NOUN
aijbe-50	37	18	of	of	ADP
aijbe-50	37	19	the	the	DET
aijbe-50	37	20	virus	virus	NOUN
aijbe-50	37	21	has	have	AUX
aijbe-50	37	22	led	lead	VERB
aijbe-50	37	23	to	to	ADP
aijbe-50	37	24	shortages	shortage	NOUN
aijbe-50	37	25	of	of	ADP
aijbe-50	37	26	goods	good	NOUN
aijbe-50	37	27	and	and	CCONJ
aijbe-50	37	28	materials	material	NOUN
aijbe-50	37	29	,	,	PUNCT
aijbe-50	37	30	delays	delay	NOUN
aijbe-50	37	31	in	in	ADP
aijbe-50	37	32	delivery	delivery	NOUN
aijbe-50	37	33	times	time	NOUN
aijbe-50	37	34	,	,	PUNCT
aijbe-50	37	35	and	and	CCONJ
aijbe-50	37	36	increased	increase	VERB
aijbe-50	37	37	costs	cost	NOUN
aijbe-50	37	38	for	for	ADP
aijbe-50	37	39	businesses	business	NOUN
aijbe-50	37	40	.	.	PUNCT
aijbe-50	38	1	consumers	consumer	NOUN
aijbe-50	38	2	have	have	AUX
aijbe-50	38	3	also	also	ADV
aijbe-50	38	4	been	be	AUX
aijbe-50	38	5	affected	affect	VERB
aijbe-50	38	6	by	by	ADP
aijbe-50	38	7	the	the	DET
aijbe-50	38	8	disruption	disruption	NOUN
aijbe-50	38	9	of	of	ADP
aijbe-50	38	10	supply	supply	NOUN
aijbe-50	38	11	chains	chain	NOUN
aijbe-50	38	12	,	,	PUNCT
aijbe-50	38	13	with	with	ADP
aijbe-50	38	14	many	many	ADJ
aijbe-50	38	15	facing	face	VERB
aijbe-50	38	16	shortages	shortage	NOUN
aijbe-50	38	17	of	of	ADP
aijbe-50	38	18	essential	essential	ADJ
aijbe-50	38	19	goods	good	NOUN
aijbe-50	38	20	and	and	CCONJ
aijbe-50	38	21	higher	high	ADJ
aijbe-50	38	22	prices	price	NOUN
aijbe-50	38	23	for	for	ADP
aijbe-50	38	24	products	product	NOUN
aijbe-50	38	25	.	.	PUNCT
aijbe-50	39	1	the	the	DET
aijbe-50	39	2	domino	domino	NOUN
aijbe-50	39	3	effect	effect	NOUN
aijbe-50	39	4	of	of	ADP
aijbe-50	39	5	broken	broken	ADJ
aijbe-50	39	6	supply	supply	NOUN
aijbe-50	39	7	chains	chain	NOUN
aijbe-50	39	8	is	be	AUX
aijbe-50	39	9	that	that	SCONJ
aijbe-50	39	10	it	it	PRON
aijbe-50	39	11	can	can	AUX
aijbe-50	39	12	cause	cause	VERB
aijbe-50	39	13	a	a	DET
aijbe-50	39	14	ripple	ripple	ADJ
aijbe-50	39	15	effect	effect	NOUN
aijbe-50	39	16	throughout	throughout	ADP
aijbe-50	39	17	the	the	DET
aijbe-50	39	18	economy	economy	NOUN
aijbe-50	39	19	,	,	PUNCT
aijbe-50	39	20	affecting	affect	VERB
aijbe-50	39	21	not	not	PART
aijbe-50	39	22	just	just	ADV
aijbe-50	39	23	producers	producer	NOUN
aijbe-50	39	24	and	and	CCONJ
aijbe-50	39	25	consumers	consumer	NOUN
aijbe-50	39	26	but	but	CCONJ
aijbe-50	39	27	also	also	ADV
aijbe-50	39	28	other	other	ADJ
aijbe-50	39	29	businesses	business	NOUN
aijbe-50	39	30	that	that	PRON
aijbe-50	39	31	rely	rely	VERB
aijbe-50	39	32	on	on	ADP
aijbe-50	39	33	them	they	PRON
aijbe-50	39	34	.	.	PUNCT
aijbe-50	40	1	this	this	PRON
aijbe-50	40	2	can	can	AUX
aijbe-50	40	3	lead	lead	VERB
aijbe-50	40	4	to	to	ADP
aijbe-50	40	5	job	job	NOUN
aijbe-50	40	6	losses	loss	NOUN
aijbe-50	40	7	,	,	PUNCT
aijbe-50	40	8	reduced	reduce	VERB
aijbe-50	40	9	economic	economic	ADJ
aijbe-50	40	10	activity	activity	NOUN
aijbe-50	40	11	,	,	PUNCT
aijbe-50	40	12	and	and	CCONJ
aijbe-50	40	13	other	other	ADJ
aijbe-50	40	14	negative	negative	ADJ
aijbe-50	40	15	consequences	consequence	NOUN
aijbe-50	40	16	.	.	PUNCT
aijbe-50	41	1	on	on	ADP
aijbe-50	41	2	the	the	DET
aijbe-50	41	3	supply	supply	NOUN
aijbe-50	41	4	side	side	NOUN
aijbe-50	41	5	,	,	PUNCT
aijbe-50	41	6	production	production	NOUN
aijbe-50	41	7	chains	chain	NOUN
aijbe-50	41	8	have	have	AUX
aijbe-50	41	9	been	be	AUX
aijbe-50	41	10	disrupted	disrupt	VERB
aijbe-50	41	11	,	,	PUNCT
aijbe-50	41	12	while	while	SCONJ
aijbe-50	41	13	on	on	ADP
aijbe-50	41	14	the	the	DET
aijbe-50	41	15	demand	demand	NOUN
aijbe-50	41	16	side	side	NOUN
aijbe-50	41	17	,	,	PUNCT
aijbe-50	41	18	consumption	consumption	NOUN
aijbe-50	41	19	and	and	CCONJ
aijbe-50	41	20	investment	investment	NOUN
aijbe-50	41	21	spending	spending	NOUN
aijbe-50	41	22	have	have	AUX
aijbe-50	41	23	been	be	AUX
aijbe-50	41	24	negatively	negatively	ADV
aijbe-50	41	25	affected	affect	VERB
aijbe-50	41	26	.	.	PUNCT
aijbe-50	42	1	this	this	PRON
aijbe-50	42	2	is	be	AUX
aijbe-50	42	3	likely	likely	ADJ
aijbe-50	42	4	to	to	PART
aijbe-50	42	5	exacerbate	exacerbate	VERB
aijbe-50	42	6	the	the	DET
aijbe-50	42	7	ongoing	ongoing	ADJ
aijbe-50	42	8	economic	economic	ADJ
aijbe-50	42	9	downturn	downturn	NOUN
aijbe-50	42	10	,	,	PUNCT
aijbe-50	42	11	making	make	VERB
aijbe-50	42	12	it	it	PRON
aijbe-50	42	13	more	more	ADV
aijbe-50	42	14	pronounced	pronounced	ADJ
aijbe-50	42	15	.	.	PUNCT
aijbe-50	43	1	to	to	PART
aijbe-50	43	2	address	address	VERB
aijbe-50	43	3	both	both	CCONJ
aijbe-50	43	4	the	the	DET
aijbe-50	43	5	pandemic	pandemic	ADJ
aijbe-50	43	6	and	and	CCONJ
aijbe-50	43	7	economic	economic	ADJ
aijbe-50	43	8	downturn	downturn	NOUN
aijbe-50	43	9	,	,	PUNCT
aijbe-50	43	10	governments	government	NOUN
aijbe-50	43	11	have	have	AUX
aijbe-50	43	12	been	be	AUX
aijbe-50	43	13	urged	urge	VERB
aijbe-50	43	14	to	to	PART
aijbe-50	43	15	"	"	PUNCT
aijbe-50	43	16	go	go	VERB
aijbe-50	43	17	big	big	ADJ
aijbe-50	43	18	.	.	PUNCT
aijbe-50	44	1	act	act	VERB
aijbe-50	44	2	fast	fast	ADV
aijbe-50	44	3	.	.	PUNCT
aijbe-50	45	1	keep	keep	VERB
aijbe-50	45	2	the	the	DET
aijbe-50	45	3	lights	light	NOUN
aijbe-50	45	4	on	on	ADP
aijbe-50	45	5	"	"	PUNCT
aijbe-50	45	6	by	by	ADP
aijbe-50	45	7	economist	economist	PROPN
aijbe-50	45	8	richard	richard	PROPN
aijbe-50	45	9	baldwin	baldwin	PROPN
aijbe-50	45	10	,	,	PUNCT
aijbe-50	45	11	who	who	PRON
aijbe-50	45	12	argues	argue	VERB
aijbe-50	45	13	that	that	SCONJ
aijbe-50	45	14	combining	combine	VERB
aijbe-50	45	15	restrictive	restrictive	ADJ
aijbe-50	45	16	policies	policy	NOUN
aijbe-50	45	17	that	that	PRON
aijbe-50	45	18	reduce	reduce	VERB
aijbe-50	45	19	production	production	NOUN
aijbe-50	45	20	with	with	ADP
aijbe-50	45	21	stimulus	stimulus	ADJ
aijbe-50	45	22	policies	policy	NOUN
aijbe-50	45	23	that	that	PRON
aijbe-50	45	24	maintain	maintain	VERB
aijbe-50	45	25	spending	spending	NOUN
aijbe-50	45	26	will	will	AUX
aijbe-50	45	27	create	create	VERB
aijbe-50	45	28	supply	supply	NOUN
aijbe-50	45	29	-	-	PUNCT
aijbe-50	45	30	side	side	NOUN
aijbe-50	45	31	problems	problem	NOUN
aijbe-50	45	32	and	and	CCONJ
aijbe-50	45	33	lead	lead	VERB
aijbe-50	45	34	to	to	ADP
aijbe-50	45	35	cost	cost	NOUN
aijbe-50	45	36	-	-	PUNCT
aijbe-50	45	37	driven	drive	VERB
aijbe-50	45	38	inflation	inflation	NOUN
aijbe-50	45	39	[	[	X
aijbe-50	45	40	2	2	NUM
aijbe-50	45	41	]	]	PUNCT
aijbe-50	45	42	.	.	PUNCT
aijbe-50	46	1	in	in	ADP
aijbe-50	46	2	other	other	ADJ
aijbe-50	46	3	words	word	NOUN
aijbe-50	46	4	,	,	PUNCT
aijbe-50	46	5	the	the	DET
aijbe-50	46	6	idea	idea	NOUN
aijbe-50	46	7	that	that	SCONJ
aijbe-50	46	8	the	the	DET
aijbe-50	46	9	global	global	ADJ
aijbe-50	46	10	downturn	downturn	NOUN
aijbe-50	46	11	can	can	AUX
aijbe-50	46	12	be	be	AUX
aijbe-50	46	13	revived	revive	VERB
aijbe-50	46	14	only	only	ADV
aijbe-50	46	15	by	by	ADP
aijbe-50	46	16	increasing	increase	VERB
aijbe-50	46	17	credit	credit	NOUN
aijbe-50	46	18	and	and	CCONJ
aijbe-50	46	19	borrowing	borrow	VERB
aijbe-50	46	20	more	more	ADV
aijbe-50	46	21	heavily	heavily	ADV
aijbe-50	46	22	for	for	ADP
aijbe-50	46	23	consumption	consumption	NOUN
aijbe-50	46	24	is	be	AUX
aijbe-50	46	25	an	an	DET
aijbe-50	46	26	illusion	illusion	NOUN
aijbe-50	46	27	.	.	PUNCT
aijbe-50	47	1	the	the	DET
aijbe-50	47	2	covid-19	covid-19	PROPN
aijbe-50	47	3	pandemic	pandemic	NOUN
aijbe-50	47	4	has	have	AUX
aijbe-50	47	5	had	have	VERB
aijbe-50	47	6	a	a	DET
aijbe-50	47	7	significant	significant	ADJ
aijbe-50	47	8	impact	impact	NOUN
aijbe-50	47	9	on	on	ADP
aijbe-50	47	10	healthcare	healthcare	NOUN
aijbe-50	47	11	economics	economic	NOUN
aijbe-50	47	12	around	around	ADP
aijbe-50	47	13	the	the	DET
aijbe-50	47	14	world	world	NOUN
aijbe-50	47	15	.	.	PUNCT
aijbe-50	48	1	in	in	ADP
aijbe-50	48	2	the	the	DET
aijbe-50	48	3	short	short	ADJ
aijbe-50	48	4	run	run	NOUN
aijbe-50	48	5	,	,	PUNCT
aijbe-50	48	6	healthcare	healthcare	NOUN
aijbe-50	48	7	facilities	facility	NOUN
aijbe-50	48	8	have	have	AUX
aijbe-50	48	9	been	be	AUX
aijbe-50	48	10	overwhelmed	overwhelm	VERB
aijbe-50	48	11	by	by	ADP
aijbe-50	48	12	the	the	DET
aijbe-50	48	13	influx	influx	NOUN
aijbe-50	48	14	of	of	ADP
aijbe-50	48	15	patients	patient	NOUN
aijbe-50	48	16	,	,	PUNCT
aijbe-50	48	17	leading	lead	VERB
aijbe-50	48	18	to	to	ADP
aijbe-50	48	19	increased	increase	VERB
aijbe-50	48	20	costs	cost	NOUN
aijbe-50	48	21	for	for	ADP
aijbe-50	48	22	inpatient	inpatient	NOUN
aijbe-50	48	23	and	and	CCONJ
aijbe-50	48	24	outpatient	outpatient	NOUN
aijbe-50	48	25	care	care	NOUN
aijbe-50	48	26	.	.	PUNCT
aijbe-50	49	1	this	this	PRON
aijbe-50	49	2	has	have	AUX
aijbe-50	49	3	been	be	AUX
aijbe-50	49	4	compounded	compound	VERB
aijbe-50	49	5	by	by	ADP
aijbe-50	49	6	the	the	DET
aijbe-50	49	7	need	need	NOUN
aijbe-50	49	8	for	for	ADP
aijbe-50	49	9	additional	additional	ADJ
aijbe-50	49	10	resources	resource	NOUN
aijbe-50	49	11	such	such	ADJ
aijbe-50	49	12	as	as	ADP
aijbe-50	49	13	personal	personal	ADJ
aijbe-50	49	14	protective	protective	ADJ
aijbe-50	49	15	equipment	equipment	NOUN
aijbe-50	49	16	and	and	CCONJ
aijbe-50	49	17	additional	additional	ADJ
aijbe-50	49	18	staff	staff	NOUN
aijbe-50	49	19	to	to	PART
aijbe-50	49	20	handle	handle	VERB
aijbe-50	49	21	the	the	DET
aijbe-50	49	22	increased	increase	VERB
aijbe-50	49	23	workload	workload	NOUN
aijbe-50	49	24	.	.	PUNCT
aijbe-50	50	1	in	in	ADP
aijbe-50	50	2	the	the	DET
aijbe-50	50	3	long	long	ADJ
aijbe-50	50	4	run	run	NOUN
aijbe-50	50	5	,	,	PUNCT
aijbe-50	50	6	the	the	DET
aijbe-50	50	7	economic	economic	ADJ
aijbe-50	50	8	impact	impact	NOUN
aijbe-50	50	9	of	of	ADP
aijbe-50	50	10	the	the	DET
aijbe-50	50	11	pandemic	pandemic	NOUN
aijbe-50	50	12	on	on	ADP
aijbe-50	50	13	healthcare	healthcare	NOUN
aijbe-50	50	14	systems	system	NOUN
aijbe-50	50	15	may	may	AUX
aijbe-50	50	16	be	be	AUX
aijbe-50	50	17	even	even	ADV
aijbe-50	50	18	more	more	ADV
aijbe-50	50	19	severe	severe	ADJ
aijbe-50	50	20	.	.	PUNCT
aijbe-50	51	1	the	the	DET
aijbe-50	51	2	prolonged	prolonged	ADJ
aijbe-50	51	3	disruption	disruption	NOUN
aijbe-50	51	4	of	of	ADP
aijbe-50	51	5	healthcare	healthcare	NOUN
aijbe-50	51	6	services	service	NOUN
aijbe-50	51	7	and	and	CCONJ
aijbe-50	51	8	the	the	DET
aijbe-50	51	9	increased	increase	VERB
aijbe-50	51	10	demand	demand	NOUN
aijbe-50	51	11	for	for	ADP
aijbe-50	51	12	care	care	NOUN
aijbe-50	51	13	could	could	AUX
aijbe-50	51	14	lead	lead	VERB
aijbe-50	51	15	to	to	ADP
aijbe-50	51	16	higher	high	ADJ
aijbe-50	51	17	costs	cost	NOUN
aijbe-50	51	18	for	for	ADP
aijbe-50	51	19	both	both	DET
aijbe-50	51	20	patients	patient	NOUN
aijbe-50	51	21	and	and	CCONJ
aijbe-50	51	22	healthcare	healthcare	NOUN
aijbe-50	51	23	providers	provider	NOUN
aijbe-50	51	24	,	,	PUNCT
aijbe-50	51	25	as	as	ADV
aijbe-50	51	26	well	well	ADV
aijbe-50	51	27	as	as	ADP
aijbe-50	51	28	longer	long	ADV
aijbe-50	51	29	wait	wait	VERB
aijbe-50	51	30	times	time	NOUN
aijbe-50	51	31	for	for	ADP
aijbe-50	51	32	appointments	appointment	NOUN
aijbe-50	51	33	and	and	CCONJ
aijbe-50	51	34	procedures	procedure	NOUN
aijbe-50	51	35	.	.	PUNCT
aijbe-50	52	1	additionally	additionally	ADV
aijbe-50	52	2	,	,	PUNCT
aijbe-50	52	3	the	the	DET
aijbe-50	52	4	pandemic	pandemic	NOUN
aijbe-50	52	5	has	have	AUX
aijbe-50	52	6	led	lead	VERB
aijbe-50	52	7	to	to	ADP
aijbe-50	52	8	a	a	DET
aijbe-50	52	9	decline	decline	NOUN
aijbe-50	52	10	in	in	ADP
aijbe-50	52	11	revenue	revenue	NOUN
aijbe-50	52	12	for	for	ADP
aijbe-50	52	13	many	many	ADJ
aijbe-50	52	14	healthcare	healthcare	NOUN
aijbe-50	52	15	providers	provider	NOUN
aijbe-50	52	16	and	and	CCONJ
aijbe-50	52	17	hospitals	hospital	NOUN
aijbe-50	52	18	,	,	PUNCT
aijbe-50	52	19	which	which	PRON
aijbe-50	52	20	could	could	AUX
aijbe-50	52	21	lead	lead	VERB
aijbe-50	52	22	to	to	ADP
aijbe-50	52	23	financial	financial	ADJ
aijbe-50	52	24	difficulties	difficulty	NOUN
aijbe-50	52	25	and	and	CCONJ
aijbe-50	52	26	closures	closure	NOUN
aijbe-50	52	27	.	.	PUNCT
aijbe-50	53	1	this	this	PRON
aijbe-50	53	2	could	could	AUX
aijbe-50	53	3	lead	lead	VERB
aijbe-50	53	4	to	to	ADP
aijbe-50	53	5	further	further	ADJ
aijbe-50	53	6	strain	strain	VERB
aijbe-50	53	7	on	on	ADP
aijbe-50	53	8	the	the	DET
aijbe-50	53	9	healthcare	healthcare	NOUN
aijbe-50	53	10	system	system	NOUN
aijbe-50	53	11	in	in	ADP
aijbe-50	53	12	the	the	DET
aijbe-50	53	13	long	long	ADJ
aijbe-50	53	14	run	run	NOUN
aijbe-50	53	15	as	as	SCONJ
aijbe-50	53	16	the	the	DET
aijbe-50	53	17	population	population	NOUN
aijbe-50	53	18	increases	increase	VERB
aijbe-50	53	19	and	and	CCONJ
aijbe-50	53	20	aging	aging	NOUN
aijbe-50	53	21	.	.	PUNCT
aijbe-50	54	1	the	the	DET
aijbe-50	54	2	listed	list	VERB
aijbe-50	54	3	reasons	reason	NOUN
aijbe-50	54	4	above	above	ADP
aijbe-50	54	5	make	make	VERB
aijbe-50	54	6	understanding	understand	VERB
aijbe-50	54	7	the	the	DET
aijbe-50	54	8	spread	spread	ADJ
aijbe-50	54	9	mechanism	mechanism	NOUN
aijbe-50	54	10	and	and	CCONJ
aijbe-50	54	11	forecasting	forecast	VERB
aijbe-50	54	12	essential	essential	ADJ
aijbe-50	54	13	for	for	ADP
aijbe-50	54	14	effectively	effectively	ADV
aijbe-50	54	15	managing	manage	VERB
aijbe-50	54	16	the	the	DET
aijbe-50	54	17	pandemic	pandemic	ADJ
aijbe-50	54	18	and	and	CCONJ
aijbe-50	54	19	minimizing	minimize	VERB
aijbe-50	54	20	its	its	PRON
aijbe-50	54	21	impact	impact	NOUN
aijbe-50	54	22	on	on	ADP
aijbe-50	54	23	public	public	ADJ
aijbe-50	54	24	health	health	NOUN
aijbe-50	54	25	and	and	CCONJ
aijbe-50	54	26	the	the	DET
aijbe-50	54	27	economy	economy	NOUN
aijbe-50	54	28	.	.	PUNCT
aijbe-50	55	1	in	in	ADP
aijbe-50	55	2	the	the	DET
aijbe-50	55	3	literature	literature	NOUN
aijbe-50	55	4	,	,	PUNCT
aijbe-50	55	5	many	many	ADJ
aijbe-50	55	6	studies	study	NOUN
aijbe-50	55	7	deal	deal	VERB
aijbe-50	55	8	with	with	ADP
aijbe-50	55	9	understanding	understand	VERB
aijbe-50	55	10	the	the	DET
aijbe-50	55	11	spread	spread	ADJ
aijbe-50	55	12	mechanism	mechanism	NOUN
aijbe-50	55	13	.	.	PUNCT
aijbe-50	56	1	for	for	ADP
aijbe-50	56	2	instance	instance	NOUN
aijbe-50	56	3	,	,	PUNCT
aijbe-50	56	4	the	the	DET
aijbe-50	56	5	mathematical	mathematical	ADJ
aijbe-50	56	6	sir	sir	NOUN
aijbe-50	56	7	(	(	PUNCT
aijbe-50	56	8	susceptible	susceptible	ADJ
aijbe-50	56	9	,	,	PUNCT
aijbe-50	56	10	infected	infected	ADJ
aijbe-50	56	11	and	and	CCONJ
aijbe-50	56	12	recovered	recovered	ADJ
aijbe-50	56	13	)	)	PUNCT
aijbe-50	56	14	model	model	NOUN
aijbe-50	56	15	provides	provide	VERB
aijbe-50	56	16	differential	differential	ADJ
aijbe-50	56	17	solutions	solution	NOUN
aijbe-50	56	18	by	by	ADP
aijbe-50	56	19	dividing	divide	VERB
aijbe-50	56	20	the	the	DET
aijbe-50	56	21	total	total	ADJ
aijbe-50	56	22	yeliz	yeliz	PROPN
aijbe-50	56	23	zoğal	zoğal	NOUN
aijbe-50	56	24	(	(	PUNCT
aijbe-50	56	25	2022	2022	NUM
aijbe-50	56	26	)	)	PUNCT
aijbe-50	56	27	10	10	NUM
aijbe-50	56	28	american	american	ADJ
aijbe-50	56	29	interdisciplinary	interdisciplinary	ADJ
aijbe-50	56	30	journal	journal	NOUN
aijbe-50	56	31	of	of	ADP
aijbe-50	56	32	business	business	NOUN
aijbe-50	56	33	and	and	CCONJ
aijbe-50	56	34	economics	economic	NOUN
aijbe-50	57	1	|	|	ADV
aijbe-50	57	2	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	X
aijbe-50	57	3	population	population	NOUN
aijbe-50	57	4	into	into	ADP
aijbe-50	57	5	different	different	ADJ
aijbe-50	57	6	groups	group	NOUN
aijbe-50	57	7	.	.	PUNCT
aijbe-50	58	1	the	the	DET
aijbe-50	58	2	model	model	NOUN
aijbe-50	58	3	describes	describe	VERB
aijbe-50	58	4	the	the	DET
aijbe-50	58	5	flow	flow	NOUN
aijbe-50	58	6	of	of	ADP
aijbe-50	58	7	individuals	individual	NOUN
aijbe-50	58	8	between	between	ADP
aijbe-50	58	9	these	these	DET
aijbe-50	58	10	compartments	compartment	NOUN
aijbe-50	58	11	based	base	VERB
aijbe-50	58	12	on	on	ADP
aijbe-50	58	13	certain	certain	ADJ
aijbe-50	58	14	assumptions	assumption	NOUN
aijbe-50	58	15	,	,	PUNCT
aijbe-50	58	16	such	such	ADJ
aijbe-50	58	17	as	as	ADP
aijbe-50	58	18	the	the	DET
aijbe-50	58	19	rate	rate	NOUN
aijbe-50	58	20	at	at	ADP
aijbe-50	58	21	which	which	PRON
aijbe-50	58	22	infected	infect	VERB
aijbe-50	58	23	individuals	individual	NOUN
aijbe-50	58	24	infect	infect	VERB
aijbe-50	58	25	susceptible	susceptible	ADJ
aijbe-50	58	26	individuals	individual	NOUN
aijbe-50	58	27	(	(	PUNCT
aijbe-50	58	28	the	the	DET
aijbe-50	58	29	infection	infection	NOUN
aijbe-50	58	30	rate	rate	NOUN
aijbe-50	58	31	)	)	PUNCT
aijbe-50	58	32	and	and	CCONJ
aijbe-50	58	33	the	the	DET
aijbe-50	58	34	rate	rate	NOUN
aijbe-50	58	35	at	at	ADP
aijbe-50	58	36	which	which	PRON
aijbe-50	58	37	infected	infect	VERB
aijbe-50	58	38	individuals	individual	NOUN
aijbe-50	58	39	recover	recover	VERB
aijbe-50	58	40	or	or	CCONJ
aijbe-50	58	41	are	be	AUX
aijbe-50	58	42	removed	remove	VERB
aijbe-50	58	43	from	from	ADP
aijbe-50	58	44	the	the	DET
aijbe-50	58	45	population	population	NOUN
aijbe-50	58	46	(	(	PUNCT
aijbe-50	58	47	the	the	DET
aijbe-50	58	48	removal	removal	NOUN
aijbe-50	58	49	rate	rate	NOUN
aijbe-50	58	50	)	)	PUNCT
aijbe-50	58	51	.	.	PUNCT
aijbe-50	59	1	the	the	DET
aijbe-50	59	2	sir	sir	PROPN
aijbe-50	59	3	model	model	NOUN
aijbe-50	59	4	can	can	AUX
aijbe-50	59	5	be	be	AUX
aijbe-50	59	6	used	use	VERB
aijbe-50	59	7	to	to	PART
aijbe-50	59	8	estimate	estimate	VERB
aijbe-50	59	9	the	the	DET
aijbe-50	59	10	number	number	NOUN
aijbe-50	59	11	of	of	ADP
aijbe-50	59	12	individuals	individual	NOUN
aijbe-50	59	13	who	who	PRON
aijbe-50	59	14	will	will	AUX
aijbe-50	59	15	be	be	AUX
aijbe-50	59	16	infected	infect	VERB
aijbe-50	59	17	and	and	CCONJ
aijbe-50	59	18	recovered	recover	VERB
aijbe-50	59	19	over	over	ADP
aijbe-50	59	20	time	time	NOUN
aijbe-50	59	21	,	,	PUNCT
aijbe-50	59	22	as	as	ADV
aijbe-50	59	23	well	well	ADV
aijbe-50	59	24	as	as	ADP
aijbe-50	59	25	the	the	DET
aijbe-50	59	26	peak	peak	NOUN
aijbe-50	59	27	of	of	ADP
aijbe-50	59	28	the	the	DET
aijbe-50	59	29	epidemic	epidemic	NOUN
aijbe-50	59	30	.	.	PUNCT
aijbe-50	60	1	although	although	SCONJ
aijbe-50	60	2	the	the	DET
aijbe-50	60	3	characteristics	characteristic	NOUN
aijbe-50	60	4	of	of	ADP
aijbe-50	60	5	the	the	DET
aijbe-50	60	6	infectious	infectious	ADJ
aijbe-50	60	7	disease	disease	NOUN
aijbe-50	60	8	shape	shape	VERB
aijbe-50	60	9	the	the	DET
aijbe-50	60	10	model	model	NOUN
aijbe-50	60	11	,	,	PUNCT
aijbe-50	60	12	it	it	PRON
aijbe-50	60	13	does	do	AUX
aijbe-50	60	14	not	not	PART
aijbe-50	60	15	provide	provide	VERB
aijbe-50	60	16	satisfactory	satisfactory	ADJ
aijbe-50	60	17	results	result	NOUN
aijbe-50	60	18	in	in	ADP
aijbe-50	60	19	the	the	DET
aijbe-50	60	20	early	early	ADJ
aijbe-50	60	21	stages	stage	NOUN
aijbe-50	60	22	of	of	ADP
aijbe-50	60	23	the	the	DET
aijbe-50	60	24	disease	disease	NOUN
aijbe-50	60	25	.	.	PUNCT
aijbe-50	61	1	the	the	DET
aijbe-50	61	2	econometric	econometric	ADJ
aijbe-50	61	3	time	time	NOUN
aijbe-50	61	4	series	series	PROPN
aijbe-50	61	5	model	model	PROPN
aijbe-50	61	6	,	,	PUNCT
aijbe-50	61	7	arima	arima	PROPN
aijbe-50	61	8	(	(	PUNCT
aijbe-50	61	9	autoregressive	autoregressive	ADJ
aijbe-50	61	10	integrated	integrated	ADJ
aijbe-50	61	11	moving	move	VERB
aijbe-50	61	12	average	average	NOUN
aijbe-50	61	13	)	)	PUNCT
aijbe-50	61	14	,	,	PUNCT
aijbe-50	61	15	provides	provide	VERB
aijbe-50	61	16	more	more	ADV
aijbe-50	61	17	realistic	realistic	ADJ
aijbe-50	61	18	results	result	NOUN
aijbe-50	61	19	as	as	ADP
aijbe-50	61	20	the	the	DET
aijbe-50	61	21	data	datum	NOUN
aijbe-50	61	22	increase	increase	NOUN
aijbe-50	61	23	since	since	SCONJ
aijbe-50	61	24	it	it	PRON
aijbe-50	61	25	predicts	predict	VERB
aijbe-50	61	26	the	the	DET
aijbe-50	61	27	future	future	NOUN
aijbe-50	61	28	of	of	ADP
aijbe-50	61	29	the	the	DET
aijbe-50	61	30	variable	variable	NOUN
aijbe-50	61	31	with	with	ADP
aijbe-50	61	32	past	past	ADJ
aijbe-50	61	33	values	value	NOUN
aijbe-50	61	34	.	.	PUNCT
aijbe-50	62	1	the	the	DET
aijbe-50	62	2	arima	arima	PROPN
aijbe-50	62	3	model	model	NOUN
aijbe-50	62	4	can	can	AUX
aijbe-50	62	5	be	be	AUX
aijbe-50	62	6	used	use	VERB
aijbe-50	62	7	to	to	PART
aijbe-50	62	8	model	model	VERB
aijbe-50	62	9	and	and	CCONJ
aijbe-50	62	10	forecast	forecast	NOUN
aijbe-50	62	11	time	time	PROPN
aijbe-50	62	12	series	series	PROPN
aijbe-50	62	13	data	datum	NOUN
aijbe-50	62	14	with	with	ADP
aijbe-50	62	15	a	a	DET
aijbe-50	62	16	trend	trend	NOUN
aijbe-50	62	17	and/or	and/or	CCONJ
aijbe-50	62	18	seasonality	seasonality	NOUN
aijbe-50	62	19	.	.	PUNCT
aijbe-50	63	1	the	the	DET
aijbe-50	63	2	arima	arima	PROPN
aijbe-50	63	3	model	model	NOUN
aijbe-50	63	4	is	be	AUX
aijbe-50	63	5	widely	widely	ADV
aijbe-50	63	6	used	use	VERB
aijbe-50	63	7	in	in	ADP
aijbe-50	63	8	various	various	ADJ
aijbe-50	63	9	fields	field	NOUN
aijbe-50	63	10	such	such	ADJ
aijbe-50	63	11	as	as	ADP
aijbe-50	63	12	finance	finance	NOUN
aijbe-50	63	13	,	,	PUNCT
aijbe-50	63	14	economics	economic	NOUN
aijbe-50	63	15	,	,	PUNCT
aijbe-50	63	16	engineering	engineering	NOUN
aijbe-50	63	17	,	,	PUNCT
aijbe-50	63	18	and	and	CCONJ
aijbe-50	63	19	infectious	infectious	ADJ
aijbe-50	63	20	diseases	disease	NOUN
aijbe-50	63	21	,	,	PUNCT
aijbe-50	63	22	and	and	CCONJ
aijbe-50	63	23	it	it	PRON
aijbe-50	63	24	is	be	AUX
aijbe-50	63	25	considered	consider	VERB
aijbe-50	63	26	as	as	ADP
aijbe-50	63	27	one	one	NUM
aijbe-50	63	28	of	of	ADP
aijbe-50	63	29	the	the	DET
aijbe-50	63	30	most	most	ADV
aijbe-50	63	31	powerful	powerful	ADJ
aijbe-50	63	32	tool	tool	NOUN
aijbe-50	63	33	for	for	ADP
aijbe-50	63	34	time	time	NOUN
aijbe-50	63	35	series	series	PROPN
aijbe-50	63	36	forecasting	forecasting	NOUN
aijbe-50	63	37	.	.	PUNCT
aijbe-50	64	1	in	in	ADP
aijbe-50	64	2	addition	addition	NOUN
aijbe-50	64	3	,	,	PUNCT
aijbe-50	64	4	machine	machine	NOUN
aijbe-50	64	5	learning	learning	NOUN
aijbe-50	64	6	models	model	NOUN
aijbe-50	64	7	(	(	PUNCT
aijbe-50	64	8	supervised	supervised	ADJ
aijbe-50	64	9	learning	learning	NOUN
aijbe-50	64	10	,	,	PUNCT
aijbe-50	64	11	reinforcement	reinforcement	NOUN
aijbe-50	64	12	learning	learning	NOUN
aijbe-50	64	13	models	model	NOUN
aijbe-50	64	14	,	,	PUNCT
aijbe-50	64	15	deep	deep	ADJ
aijbe-50	64	16	learning	learning	NOUN
aijbe-50	64	17	models	model	NOUN
aijbe-50	64	18	,	,	PUNCT
aijbe-50	64	19	ensemble	ensemble	ADJ
aijbe-50	64	20	models	model	NOUN
aijbe-50	64	21	)	)	PUNCT
aijbe-50	64	22	are	be	AUX
aijbe-50	64	23	frequently	frequently	ADV
aijbe-50	64	24	used	use	VERB
aijbe-50	64	25	to	to	PART
aijbe-50	64	26	predict	predict	VERB
aijbe-50	64	27	infectious	infectious	ADJ
aijbe-50	64	28	diseases	disease	NOUN
aijbe-50	64	29	.	.	PUNCT
aijbe-50	65	1	the	the	DET
aijbe-50	65	2	present	present	ADJ
aijbe-50	65	3	study	study	NOUN
aijbe-50	65	4	aims	aim	VERB
aijbe-50	65	5	to	to	PART
aijbe-50	65	6	provide	provide	VERB
aijbe-50	65	7	a	a	DET
aijbe-50	65	8	five	five	NUM
aijbe-50	65	9	-	-	PUNCT
aijbe-50	65	10	day	day	NOUN
aijbe-50	65	11	covid-19	covid-19	PROPN
aijbe-50	65	12	prediction	prediction	NOUN
aijbe-50	65	13	for	for	ADP
aijbe-50	65	14	g7	g7	PROPN
aijbe-50	65	15	(	(	PUNCT
aijbe-50	65	16	canada	canada	PROPN
aijbe-50	65	17	,	,	PUNCT
aijbe-50	65	18	france	france	PROPN
aijbe-50	65	19	,	,	PUNCT
aijbe-50	65	20	germany	germany	PROPN
aijbe-50	65	21	,	,	PUNCT
aijbe-50	65	22	italy	italy	PROPN
aijbe-50	65	23	,	,	PUNCT
aijbe-50	65	24	japan	japan	PROPN
aijbe-50	65	25	,	,	PUNCT
aijbe-50	65	26	japan	japan	PROPN
aijbe-50	65	27	,	,	PUNCT
aijbe-50	65	28	uk	uk	PROPN
aijbe-50	65	29	and	and	CCONJ
aijbe-50	65	30	usa	usa	PROPN
aijbe-50	65	31	)	)	PUNCT
aijbe-50	65	32	countries	country	NOUN
aijbe-50	65	33	with	with	ADP
aijbe-50	65	34	the	the	DET
aijbe-50	65	35	prophet	prophet	NOUN
aijbe-50	65	36	model	model	NOUN
aijbe-50	65	37	.	.	PUNCT
aijbe-50	66	1	moreover	moreover	ADV
aijbe-50	66	2	,	,	PUNCT
aijbe-50	66	3	it	it	PRON
aijbe-50	66	4	allows	allow	VERB
aijbe-50	66	5	comparisons	comparison	NOUN
aijbe-50	66	6	with	with	ADP
aijbe-50	66	7	the	the	DET
aijbe-50	66	8	rmse	rmse	NOUN
aijbe-50	66	9	(	(	PUNCT
aijbe-50	66	10	root	root	NOUN
aijbe-50	66	11	mean	mean	VERB
aijbe-50	66	12	square	square	NOUN
aijbe-50	66	13	error	error	NOUN
aijbe-50	66	14	)	)	PUNCT
aijbe-50	66	15	statistic	statistic	NOUN
aijbe-50	66	16	to	to	PART
aijbe-50	66	17	evaluate	evaluate	VERB
aijbe-50	66	18	the	the	DET
aijbe-50	66	19	performance	performance	NOUN
aijbe-50	66	20	of	of	ADP
aijbe-50	66	21	the	the	DET
aijbe-50	66	22	analysis	analysis	NOUN
aijbe-50	66	23	results	result	NOUN
aijbe-50	66	24	.	.	PUNCT
aijbe-50	67	1	g7	g7	PROPN
aijbe-50	67	2	countries	country	NOUN
aijbe-50	67	3	were	be	AUX
aijbe-50	67	4	chosen	choose	VERB
aijbe-50	67	5	because	because	SCONJ
aijbe-50	67	6	data	datum	NOUN
aijbe-50	67	7	sharing	sharing	NOUN
aijbe-50	67	8	problems	problem	NOUN
aijbe-50	67	9	are	be	AUX
aijbe-50	67	10	less	less	ADJ
aijbe-50	67	11	for	for	ADP
aijbe-50	67	12	these	these	DET
aijbe-50	67	13	countries	country	NOUN
aijbe-50	67	14	,	,	PUNCT
aijbe-50	67	15	and	and	CCONJ
aijbe-50	67	16	doubts	doubt	NOUN
aijbe-50	67	17	about	about	ADP
aijbe-50	67	18	the	the	DET
aijbe-50	67	19	accuracy	accuracy	NOUN
aijbe-50	67	20	of	of	ADP
aijbe-50	67	21	the	the	DET
aijbe-50	67	22	number	number	NOUN
aijbe-50	67	23	of	of	ADP
aijbe-50	67	24	cases	case	NOUN
aijbe-50	67	25	announced	announce	VERB
aijbe-50	67	26	are	be	AUX
aijbe-50	67	27	minimal	minimal	ADJ
aijbe-50	67	28	.	.	PUNCT
aijbe-50	68	1	based	base	VERB
aijbe-50	68	2	on	on	ADP
aijbe-50	68	3	the	the	DET
aijbe-50	68	4	results	result	NOUN
aijbe-50	68	5	obtained	obtain	VERB
aijbe-50	68	6	with	with	ADP
aijbe-50	68	7	the	the	DET
aijbe-50	68	8	prophet	prophet	NOUN
aijbe-50	68	9	model	model	NOUN
aijbe-50	68	10	,	,	PUNCT
aijbe-50	68	11	the	the	DET
aijbe-50	68	12	results	result	NOUN
aijbe-50	68	13	closest	close	ADJ
aijbe-50	68	14	to	to	ADP
aijbe-50	68	15	reality	reality	NOUN
aijbe-50	68	16	with	with	ADP
aijbe-50	68	17	the	the	DET
aijbe-50	68	18	lowest	low	ADJ
aijbe-50	68	19	rmse	rmse	NOUN
aijbe-50	68	20	value	value	NOUN
aijbe-50	68	21	were	be	AUX
aijbe-50	68	22	obtained	obtain	VERB
aijbe-50	68	23	first	first	ADV
aijbe-50	68	24	for	for	ADP
aijbe-50	68	25	canada	canada	PROPN
aijbe-50	68	26	and	and	CCONJ
aijbe-50	68	27	then	then	ADV
aijbe-50	68	28	for	for	ADP
aijbe-50	68	29	germany	germany	PROPN
aijbe-50	68	30	.	.	PUNCT
aijbe-50	69	1	likewise	likewise	ADV
aijbe-50	69	2	,	,	PUNCT
aijbe-50	69	3	it	it	PRON
aijbe-50	69	4	was	be	AUX
aijbe-50	69	5	found	find	VERB
aijbe-50	69	6	that	that	SCONJ
aijbe-50	69	7	the	the	DET
aijbe-50	69	8	prediction	prediction	NOUN
aijbe-50	69	9	values	value	NOUN
aijbe-50	69	10	for	for	ADP
aijbe-50	69	11	the	the	DET
aijbe-50	69	12	first	first	ADJ
aijbe-50	69	13	day	day	NOUN
aijbe-50	69	14	generally	generally	ADV
aijbe-50	69	15	have	have	VERB
aijbe-50	69	16	lower	low	ADJ
aijbe-50	69	17	rmse	rmse	NOUN
aijbe-50	69	18	.	.	PUNCT
aijbe-50	70	1	in	in	ADP
aijbe-50	70	2	other	other	ADJ
aijbe-50	70	3	words	word	NOUN
aijbe-50	70	4	,	,	PUNCT
aijbe-50	70	5	rmses	rmse	VERB
aijbe-50	70	6	increase	increase	NOUN
aijbe-50	70	7	as	as	SCONJ
aijbe-50	70	8	we	we	PRON
aijbe-50	70	9	move	move	VERB
aijbe-50	70	10	away	away	ADV
aijbe-50	70	11	from	from	ADP
aijbe-50	70	12	the	the	DET
aijbe-50	70	13	actual	actual	ADJ
aijbe-50	70	14	data	datum	NOUN
aijbe-50	70	15	for	for	ADP
aijbe-50	70	16	prediction	prediction	NOUN
aijbe-50	70	17	.	.	PUNCT
aijbe-50	71	1	the	the	DET
aijbe-50	71	2	next	next	ADJ
aijbe-50	71	3	section	section	NOUN
aijbe-50	71	4	of	of	ADP
aijbe-50	71	5	the	the	DET
aijbe-50	71	6	study	study	NOUN
aijbe-50	71	7	presents	present	VERB
aijbe-50	71	8	the	the	DET
aijbe-50	71	9	literature	literature	NOUN
aijbe-50	71	10	review	review	NOUN
aijbe-50	71	11	and	and	CCONJ
aijbe-50	71	12	the	the	DET
aijbe-50	71	13	theoretical	theoretical	ADJ
aijbe-50	71	14	framework	framework	NOUN
aijbe-50	71	15	for	for	ADP
aijbe-50	71	16	the	the	DET
aijbe-50	71	17	model	model	NOUN
aijbe-50	71	18	.	.	PUNCT
aijbe-50	72	1	in	in	ADP
aijbe-50	72	2	the	the	DET
aijbe-50	72	3	third	third	ADJ
aijbe-50	72	4	section	section	NOUN
aijbe-50	72	5	,	,	PUNCT
aijbe-50	72	6	empirical	empirical	ADJ
aijbe-50	72	7	findings	finding	NOUN
aijbe-50	72	8	will	will	AUX
aijbe-50	72	9	be	be	AUX
aijbe-50	72	10	presented	present	VERB
aijbe-50	72	11	.	.	PUNCT
aijbe-50	73	1	the	the	DET
aijbe-50	73	2	last	last	ADJ
aijbe-50	73	3	section	section	NOUN
aijbe-50	73	4	of	of	ADP
aijbe-50	73	5	the	the	DET
aijbe-50	73	6	study	study	NOUN
aijbe-50	73	7	will	will	AUX
aijbe-50	73	8	provide	provide	VERB
aijbe-50	73	9	a	a	DET
aijbe-50	73	10	general	general	ADJ
aijbe-50	73	11	evaluation	evaluation	NOUN
aijbe-50	73	12	of	of	ADP
aijbe-50	73	13	the	the	DET
aijbe-50	73	14	research	research	NOUN
aijbe-50	73	15	and	and	CCONJ
aijbe-50	73	16	analysis	analysis	NOUN
aijbe-50	73	17	.	.	PUNCT
aijbe-50	74	1	2	2	X
aijbe-50	74	2	.	.	X
aijbe-50	74	3	literature	literature	NOUN
aijbe-50	74	4	review	review	PROPN
aijbe-50	74	5	and	and	CCONJ
aijbe-50	74	6	theoretical	theoretical	ADJ
aijbe-50	74	7	background	background	NOUN
aijbe-50	74	8	2.1	2.1	NUM
aijbe-50	74	9	.	.	PUNCT
aijbe-50	75	1	literature	literature	NOUN
aijbe-50	75	2	review	review	VERB
aijbe-50	75	3	it	it	PRON
aijbe-50	75	4	is	be	AUX
aijbe-50	75	5	explained	explain	VERB
aijbe-50	75	6	the	the	DET
aijbe-50	75	7	results	result	NOUN
aijbe-50	75	8	of	of	ADP
aijbe-50	75	9	sir	sir	NOUN
aijbe-50	75	10	,	,	PUNCT
aijbe-50	75	11	seir	seir	NOUN
aijbe-50	75	12	,	,	PUNCT
aijbe-50	75	13	seiru	seiru	PROPN
aijbe-50	75	14	,	,	PUNCT
aijbe-50	75	15	sird	sird	PROPN
aijbe-50	75	16	,	,	PUNCT
aijbe-50	75	17	sliar	sliar	NOUN
aijbe-50	75	18	,	,	PUNCT
aijbe-50	75	19	arima	arima	PROPN
aijbe-50	75	20	,	,	PUNCT
aijbe-50	75	21	arima	arima	PROPN
aijbe-50	75	22	and	and	CCONJ
aijbe-50	75	23	sidarthe	sidarthe	NOUN
aijbe-50	75	24	models	model	NOUN
aijbe-50	75	25	used	use	VERB
aijbe-50	75	26	in	in	ADP
aijbe-50	75	27	the	the	DET
aijbe-50	75	28	prediction	prediction	NOUN
aijbe-50	75	29	of	of	ADP
aijbe-50	75	30	the	the	DET
aijbe-50	75	31	spread	spread	ADJ
aijbe-50	75	32	mechanism	mechanism	NOUN
aijbe-50	75	33	,	,	PUNCT
aijbe-50	75	34	peak	peak	NOUN
aijbe-50	75	35	and	and	CCONJ
aijbe-50	75	36	decline	decline	NOUN
aijbe-50	75	37	of	of	ADP
aijbe-50	75	38	covid-19	covid-19	PROPN
aijbe-50	75	39	cases	case	NOUN
aijbe-50	75	40	and	and	CCONJ
aijbe-50	75	41	the	the	DET
aijbe-50	75	42	difficulties	difficulty	NOUN
aijbe-50	75	43	in	in	ADP
aijbe-50	75	44	creating	create	VERB
aijbe-50	75	45	predictions	prediction	NOUN
aijbe-50	75	46	.	.	PUNCT
aijbe-50	76	1	the	the	DET
aijbe-50	76	2	results	result	NOUN
aijbe-50	76	3	of	of	ADP
aijbe-50	76	4	studies	study	NOUN
aijbe-50	76	5	conducted	conduct	VERB
aijbe-50	76	6	with	with	ADP
aijbe-50	76	7	these	these	DET
aijbe-50	76	8	models	model	NOUN
aijbe-50	76	9	for	for	ADP
aijbe-50	76	10	different	different	ADJ
aijbe-50	76	11	countries	country	NOUN
aijbe-50	76	12	are	be	AUX
aijbe-50	76	13	graphed	graph	VERB
aijbe-50	76	14	,	,	PUNCT
aijbe-50	76	15	and	and	CCONJ
aijbe-50	76	16	the	the	DET
aijbe-50	76	17	performance	performance	NOUN
aijbe-50	76	18	of	of	ADP
aijbe-50	76	19	the	the	DET
aijbe-50	76	20	models	model	NOUN
aijbe-50	76	21	are	be	AUX
aijbe-50	76	22	compared	compare	VERB
aijbe-50	76	23	with	with	ADP
aijbe-50	76	24	actual	actual	ADJ
aijbe-50	76	25	values	value	NOUN
aijbe-50	76	26	and	and	CCONJ
aijbe-50	76	27	deviation	deviation	NOUN
aijbe-50	76	28	value	value	NOUN
aijbe-50	76	29	of	of	ADP
aijbe-50	76	30	predictions	prediction	NOUN
aijbe-50	76	31	.	.	PUNCT
aijbe-50	77	1	regarding	regard	VERB
aijbe-50	77	2	this	this	DET
aijbe-50	77	3	issue	issue	NOUN
aijbe-50	77	4	,	,	PUNCT
aijbe-50	77	5	it	it	PRON
aijbe-50	77	6	was	be	AUX
aijbe-50	77	7	shown	show	VERB
aijbe-50	77	8	that	that	SCONJ
aijbe-50	77	9	the	the	DET
aijbe-50	77	10	highest	high	ADJ
aijbe-50	77	11	deviation	deviation	NOUN
aijbe-50	77	12	was	be	AUX
aijbe-50	77	13	found	find	VERB
aijbe-50	77	14	in	in	ADP
aijbe-50	77	15	the	the	DET
aijbe-50	77	16	simple	simple	ADJ
aijbe-50	77	17	mathematical	mathematical	ADJ
aijbe-50	77	18	model	model	NOUN
aijbe-50	77	19	and	and	CCONJ
aijbe-50	77	20	sird	sird	NOUN
aijbe-50	77	21	model	model	NOUN
aijbe-50	77	22	for	for	ADP
aijbe-50	77	23	california	california	PROPN
aijbe-50	77	24	.	.	PUNCT
aijbe-50	78	1	the	the	DET
aijbe-50	78	2	study	study	NOUN
aijbe-50	78	3	used	use	VERB
aijbe-50	78	4	arima	arima	PROPN
aijbe-50	78	5	model	model	NOUN
aijbe-50	78	6	to	to	PART
aijbe-50	78	7	forecast	forecast	VERB
aijbe-50	78	8	the	the	DET
aijbe-50	78	9	trend	trend	NOUN
aijbe-50	78	10	of	of	ADP
aijbe-50	78	11	the	the	DET
aijbe-50	78	12	covid-19	covid-19	PROPN
aijbe-50	78	13	outbreak	outbreak	NOUN
aijbe-50	78	14	in	in	ADP
aijbe-50	78	15	italy	italy	PROPN
aijbe-50	78	16	,	,	PUNCT
aijbe-50	78	17	spain	spain	PROPN
aijbe-50	78	18	,	,	PUNCT
aijbe-50	78	19	and	and	CCONJ
aijbe-50	78	20	france	france	PROPN
aijbe-50	78	21	,	,	PUNCT
aijbe-50	78	22	which	which	PRON
aijbe-50	78	23	are	be	AUX
aijbe-50	78	24	the	the	DET
aijbe-50	78	25	countries	country	NOUN
aijbe-50	78	26	that	that	PRON
aijbe-50	78	27	were	be	AUX
aijbe-50	78	28	most	most	ADV
aijbe-50	78	29	affected	affect	VERB
aijbe-50	78	30	by	by	ADP
aijbe-50	78	31	the	the	DET
aijbe-50	78	32	pandemic	pandemic	NOUN
aijbe-50	78	33	in	in	ADP
aijbe-50	78	34	europe	europe	PROPN
aijbe-50	78	35	,	,	PUNCT
aijbe-50	78	36	using	use	VERB
aijbe-50	78	37	data	datum	NOUN
aijbe-50	78	38	from	from	ADP
aijbe-50	78	39	the	the	DET
aijbe-50	78	40	period	period	NOUN
aijbe-50	78	41	of	of	ADP
aijbe-50	78	42	february	february	PROPN
aijbe-50	78	43	21	21	NUM
aijbe-50	78	44	to	to	ADP
aijbe-50	78	45	april	april	PROPN
aijbe-50	78	46	15	15	NUM
aijbe-50	78	47	,	,	PUNCT
aijbe-50	78	48	2020	2020	NUM
aijbe-50	78	49	.	.	PUNCT
aijbe-50	79	1	the	the	DET
aijbe-50	79	2	different	different	ADJ
aijbe-50	79	3	past	past	ADJ
aijbe-50	79	4	period	period	NOUN
aijbe-50	79	5	arima	arima	NOUN
aijbe-50	79	6	models	model	NOUN
aijbe-50	79	7	were	be	AUX
aijbe-50	79	8	compared	compare	VERB
aijbe-50	79	9	with	with	ADP
aijbe-50	79	10	the	the	DET
aijbe-50	79	11	mape	mape	NOUN
aijbe-50	79	12	performance	performance	NOUN
aijbe-50	79	13	value	value	NOUN
aijbe-50	79	14	and	and	CCONJ
aijbe-50	79	15	the	the	DET
aijbe-50	79	16	arima	arima	PROPN
aijbe-50	79	17	(	(	PUNCT
aijbe-50	79	18	0,2,1	0,2,1	NUM
aijbe-50	79	19	)	)	PUNCT
aijbe-50	79	20	,	,	PUNCT
aijbe-50	79	21	arima	arima	PROPN
aijbe-50	79	22	(	(	PUNCT
aijbe-50	79	23	1,2,0	1,2,0	NUM
aijbe-50	79	24	)	)	PUNCT
aijbe-50	79	25	,	,	PUNCT
aijbe-50	79	26	and	and	CCONJ
aijbe-50	79	27	arima	arima	PROPN
aijbe-50	79	28	(	(	PUNCT
aijbe-50	79	29	0,2,1	0,2,1	NOUN
aijbe-50	79	30	)	)	PUNCT
aijbe-50	79	31	models	model	NOUN
aijbe-50	79	32	were	be	AUX
aijbe-50	79	33	selected	select	VERB
aijbe-50	79	34	for	for	ADP
aijbe-50	79	35	the	the	DET
aijbe-50	79	36	countries	country	NOUN
aijbe-50	79	37	,	,	PUNCT
aijbe-50	79	38	respectively	respectively	ADV
aijbe-50	79	39	.	.	PUNCT
aijbe-50	80	1	with	with	ADP
aijbe-50	80	2	these	these	DET
aijbe-50	80	3	selected	select	VERB
aijbe-50	80	4	models	model	NOUN
aijbe-50	80	5	,	,	PUNCT
aijbe-50	80	6	short	short	ADJ
aijbe-50	80	7	-	-	PUNCT
aijbe-50	80	8	term	term	NOUN
aijbe-50	80	9	predictions	prediction	NOUN
aijbe-50	80	10	were	be	AUX
aijbe-50	80	11	made	make	VERB
aijbe-50	80	12	for	for	ADP
aijbe-50	80	13	the	the	DET
aijbe-50	80	14	period	period	NOUN
aijbe-50	80	15	of	of	ADP
aijbe-50	80	16	april	april	PROPN
aijbe-50	80	17	16	16	NUM
aijbe-50	80	18	to	to	ADP
aijbe-50	80	19	april	april	PROPN
aijbe-50	80	20	25	25	NUM
aijbe-50	80	21	,	,	PUNCT
aijbe-50	80	22	2020	2020	NUM
aijbe-50	80	23	.	.	PUNCT
aijbe-50	81	1	the	the	DET
aijbe-50	81	2	study	study	NOUN
aijbe-50	81	3	is	be	AUX
aijbe-50	81	4	showing	show	VERB
aijbe-50	81	5	that	that	SCONJ
aijbe-50	81	6	the	the	DET
aijbe-50	81	7	arima	arima	NOUN
aijbe-50	81	8	models	model	NOUN
aijbe-50	81	9	can	can	AUX
aijbe-50	81	10	be	be	AUX
aijbe-50	81	11	used	use	VERB
aijbe-50	81	12	to	to	PART
aijbe-50	81	13	effectively	effectively	ADV
aijbe-50	81	14	predict	predict	VERB
aijbe-50	81	15	the	the	DET
aijbe-50	81	16	trend	trend	NOUN
aijbe-50	81	17	of	of	ADP
aijbe-50	81	18	the	the	DET
aijbe-50	81	19	covid-19	covid-19	PROPN
aijbe-50	81	20	outbreak	outbreak	NOUN
aijbe-50	81	21	,	,	PUNCT
aijbe-50	81	22	which	which	PRON
aijbe-50	81	23	can	can	AUX
aijbe-50	81	24	help	help	VERB
aijbe-50	81	25	governments	government	NOUN
aijbe-50	81	26	and	and	CCONJ
aijbe-50	81	27	healthcare	healthcare	NOUN
aijbe-50	81	28	providers	provider	NOUN
aijbe-50	81	29	to	to	PART
aijbe-50	81	30	prepare	prepare	VERB
aijbe-50	81	31	better	well	ADJ
aijbe-50	81	32	and	and	CCONJ
aijbe-50	81	33	allocate	allocate	VERB
aijbe-50	81	34	resources	resource	NOUN
aijbe-50	81	35	more	more	ADV
aijbe-50	81	36	efficiently	efficiently	ADV
aijbe-50	81	37	.	.	PUNCT
aijbe-50	82	1	it	it	PRON
aijbe-50	82	2	is	be	AUX
aijbe-50	82	3	aimed	aim	VERB
aijbe-50	82	4	to	to	PART
aijbe-50	82	5	obtain	obtain	VERB
aijbe-50	82	6	forecasts	forecast	NOUN
aijbe-50	82	7	for	for	ADP
aijbe-50	82	8	two	two	NUM
aijbe-50	82	9	days	day	NOUN
aijbe-50	82	10	,	,	PUNCT
aijbe-50	82	11	namely	namely	ADV
aijbe-50	82	12	february	february	PROPN
aijbe-50	82	13	11	11	NUM
aijbe-50	82	14	and	and	CCONJ
aijbe-50	82	15	12	12	NUM
aijbe-50	82	16	,	,	PUNCT
aijbe-50	82	17	using	use	VERB
aijbe-50	82	18	an	an	DET
aijbe-50	82	19	arima	arima	NOUN
aijbe-50	82	20	model	model	NOUN
aijbe-50	82	21	with	with	ADP
aijbe-50	82	22	the	the	DET
aijbe-50	82	23	covid-19	covid-19	PROPN
aijbe-50	82	24	case	case	NOUN
aijbe-50	82	25	counts	count	VERB
aijbe-50	82	26	for	for	ADP
aijbe-50	82	27	the	the	DET
aijbe-50	82	28	period	period	NOUN
aijbe-50	82	29	between	between	ADP
aijbe-50	82	30	january	january	PROPN
aijbe-50	82	31	20	20	NUM
aijbe-50	82	32	and	and	CCONJ
aijbe-50	82	33	february	february	PROPN
aijbe-50	82	34	10	10	NUM
aijbe-50	82	35	,	,	PUNCT
aijbe-50	82	36	2020	2020	NUM
aijbe-50	82	37	,	,	PUNCT
aijbe-50	82	38	published	publish	VERB
aijbe-50	82	39	by	by	ADP
aijbe-50	82	40	johns	johns	PROPN
aijbe-50	82	41	hopkins	hopkins	PROPN
aijbe-50	82	42	university	university	PROPN
aijbe-50	82	43	.	.	PUNCT
aijbe-50	83	1	they	they	PRON
aijbe-50	83	2	emphasized	emphasize	VERB
aijbe-50	83	3	that	that	SCONJ
aijbe-50	83	4	case	case	NOUN
aijbe-50	83	5	definition	definition	NOUN
aijbe-50	83	6	and	and	CCONJ
aijbe-50	83	7	data	data	NOUN
aijbe-50	83	8	collection	collection	NOUN
aijbe-50	83	9	for	for	ADP
aijbe-50	83	10	cases	case	NOUN
aijbe-50	83	11	should	should	AUX
aijbe-50	83	12	be	be	AUX
aijbe-50	83	13	simultaneous	simultaneous	ADJ
aijbe-50	83	14	to	to	PART
aijbe-50	83	15	obtain	obtain	VERB
aijbe-50	83	16	more	more	ADV
aijbe-50	83	17	realistic	realistic	ADJ
aijbe-50	83	18	predictions	prediction	NOUN
aijbe-50	83	19	.	.	PUNCT
aijbe-50	84	1	it	it	PRON
aijbe-50	84	2	is	be	AUX
aijbe-50	84	3	aimed	aim	VERB
aijbe-50	84	4	to	to	PART
aijbe-50	84	5	predict	predict	VERB
aijbe-50	84	6	the	the	DET
aijbe-50	84	7	number	number	NOUN
aijbe-50	84	8	of	of	ADP
aijbe-50	84	9	positive	positive	ADJ
aijbe-50	84	10	cases	case	NOUN
aijbe-50	84	11	of	of	ADP
aijbe-50	84	12	different	different	ADJ
aijbe-50	84	13	influenza	influenza	NOUN
aijbe-50	84	14	(	(	PUNCT
aijbe-50	84	15	for	for	ADP
aijbe-50	84	16	h1n1	h1n1	NOUN
aijbe-50	84	17	and	and	CCONJ
aijbe-50	84	18	h3n2	h3n2	PROPN
aijbe-50	84	19	viruses	virus	NOUN
aijbe-50	84	20	)	)	PUNCT
aijbe-50	84	21	that	that	PRON
aijbe-50	84	22	may	may	AUX
aijbe-50	84	23	occur	occur	VERB
aijbe-50	84	24	in	in	ADP
aijbe-50	84	25	2016	2016	NUM
aijbe-50	84	26	with	with	ADP
aijbe-50	84	27	the	the	DET
aijbe-50	84	28	number	number	NOUN
aijbe-50	84	29	of	of	ADP
aijbe-50	84	30	pediatric	pediatric	ADJ
aijbe-50	84	31	cases	case	NOUN
aijbe-50	84	32	of	of	ADP
aijbe-50	84	33	the	the	DET
aijbe-50	84	34	influenza	influenza	NOUN
aijbe-50	84	35	season	season	NOUN
aijbe-50	84	36	between	between	ADP
aijbe-50	84	37	2007	2007	NUM
aijbe-50	84	38	and	and	CCONJ
aijbe-50	84	39	2015	2015	NUM
aijbe-50	84	40	.	.	PUNCT
aijbe-50	85	1	to	to	ADP
aijbe-50	85	2	this	this	DET
aijbe-50	85	3	end	end	NOUN
aijbe-50	85	4	,	,	PUNCT
aijbe-50	85	5	they	they	PRON
aijbe-50	85	6	used	use	VERB
aijbe-50	85	7	both	both	CCONJ
aijbe-50	85	8	arima	arima	NOUN
aijbe-50	85	9	and	and	CCONJ
aijbe-50	85	10	seasonal	seasonal	ADJ
aijbe-50	85	11	arima	arima	NOUN
aijbe-50	85	12	,	,	PUNCT
aijbe-50	85	13	that	that	ADV
aijbe-50	85	14	is	is	ADV
aijbe-50	85	15	,	,	PUNCT
aijbe-50	85	16	sarima	sarima	PROPN
aijbe-50	85	17	(	(	PUNCT
aijbe-50	85	18	an	an	DET
aijbe-50	85	19	arima	arima	PROPN
aijbe-50	85	20	model	model	NOUN
aijbe-50	85	21	that	that	PRON
aijbe-50	85	22	can	can	AUX
aijbe-50	85	23	capture	capture	VERB
aijbe-50	85	24	seasonal	seasonal	ADJ
aijbe-50	85	25	effects	effect	NOUN
aijbe-50	85	26	-	-	PUNCT
aijbe-50	85	27	seasonal	seasonal	ADJ
aijbe-50	85	28	autoregressive	autoregressive	ADJ
aijbe-50	85	29	integrated	integrated	ADJ
aijbe-50	85	30	moving	move	VERB
aijbe-50	85	31	average	average	NOUN
aijbe-50	85	32	)	)	PUNCT
aijbe-50	85	33	.	.	PUNCT
aijbe-50	86	1	the	the	DET
aijbe-50	86	2	prediction	prediction	NOUN
aijbe-50	86	3	results	result	NOUN
aijbe-50	86	4	of	of	ADP
aijbe-50	86	5	the	the	DET
aijbe-50	86	6	models	model	NOUN
aijbe-50	86	7	are	be	AUX
aijbe-50	86	8	evaluated	evaluate	VERB
aijbe-50	86	9	according	accord	VERB
aijbe-50	86	10	to	to	ADP
aijbe-50	86	11	performance	performance	NOUN
aijbe-50	86	12	criteria	criterion	NOUN
aijbe-50	86	13	.	.	PUNCT
aijbe-50	87	1	accordingly	accordingly	ADV
aijbe-50	87	2	,	,	PUNCT
aijbe-50	87	3	it	it	PRON
aijbe-50	87	4	is	be	AUX
aijbe-50	87	5	shown	show	VERB
aijbe-50	87	6	that	that	SCONJ
aijbe-50	87	7	the	the	DET
aijbe-50	87	8	arima	arima	PROPN
aijbe-50	87	9	model	model	NOUN
aijbe-50	87	10	gives	give	VERB
aijbe-50	87	11	better	well	ADJ
aijbe-50	87	12	and	and	CCONJ
aijbe-50	87	13	more	more	ADV
aijbe-50	87	14	realistic	realistic	ADJ
aijbe-50	87	15	results	result	NOUN
aijbe-50	87	16	than	than	ADP
aijbe-50	87	17	the	the	DET
aijbe-50	87	18	sarima	sarima	NOUN
aijbe-50	87	19	model	model	NOUN
aijbe-50	87	20	in	in	ADP
aijbe-50	87	21	case	case	NOUN
aijbe-50	87	22	prediction	prediction	NOUN
aijbe-50	87	23	.	.	PUNCT
aijbe-50	88	1	time	time	NOUN
aijbe-50	88	2	series	series	PROPN
aijbe-50	88	3	models	model	NOUN
aijbe-50	88	4	are	be	AUX
aijbe-50	88	5	used	use	VERB
aijbe-50	88	6	(	(	PUNCT
aijbe-50	88	7	arima	arima	NOUN
aijbe-50	88	8	and	and	CCONJ
aijbe-50	88	9	sarima	sarima	NOUN
aijbe-50	88	10	)	)	PUNCT
aijbe-50	88	11	and	and	CCONJ
aijbe-50	88	12	a	a	DET
aijbe-50	88	13	machine	machine	NOUN
aijbe-50	88	14	learning	learning	NOUN
aijbe-50	88	15	model	model	NOUN
aijbe-50	88	16	(	(	PUNCT
aijbe-50	88	17	prophet	prophet	NOUN
aijbe-50	88	18	model	model	NOUN
aijbe-50	88	19	)	)	PUNCT
aijbe-50	88	20	.	.	PUNCT
aijbe-50	89	1	the	the	DET
aijbe-50	89	2	prediction	prediction	NOUN
aijbe-50	89	3	is	be	AUX
aijbe-50	89	4	based	base	VERB
aijbe-50	89	5	on	on	ADP
aijbe-50	89	6	daily	daily	ADJ
aijbe-50	89	7	and	and	CCONJ
aijbe-50	89	8	cumulative	cumulative	ADJ
aijbe-50	89	9	covid-19	covid-19	PROPN
aijbe-50	89	10	data	datum	NOUN
aijbe-50	89	11	for	for	ADP
aijbe-50	89	12	the	the	DET
aijbe-50	89	13	united	united	PROPN
aijbe-50	89	14	states	states	PROPN
aijbe-50	89	15	,	,	PUNCT
aijbe-50	89	16	india	india	PROPN
aijbe-50	89	17	,	,	PUNCT
aijbe-50	89	18	and	and	CCONJ
aijbe-50	89	19	brazil	brazil	PROPN
aijbe-50	89	20	,	,	PUNCT
aijbe-50	89	21	and	and	CCONJ
aijbe-50	89	22	they	they	PRON
aijbe-50	89	23	yeliz	yeliz	VERB
aijbe-50	89	24	zoğal	zoğal	PROPN
aijbe-50	89	25	(	(	PUNCT
aijbe-50	89	26	2022	2022	NUM
aijbe-50	89	27	)	)	PUNCT
aijbe-50	89	28	11	11	NUM
aijbe-50	89	29	american	american	ADJ
aijbe-50	89	30	interdisciplinary	interdisciplinary	ADJ
aijbe-50	89	31	journal	journal	NOUN
aijbe-50	89	32	of	of	ADP
aijbe-50	89	33	business	business	NOUN
aijbe-50	89	34	and	and	CCONJ
aijbe-50	89	35	economics	economic	NOUN
aijbe-50	89	36	|	|	ADV
aijbe-50	89	37	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	X
aijbe-50	89	38	obtain	obtain	VERB
aijbe-50	89	39	short	short	ADJ
aijbe-50	89	40	-	-	PUNCT
aijbe-50	89	41	term	term	NOUN
aijbe-50	89	42	prediction	prediction	NOUN
aijbe-50	89	43	results	result	NOUN
aijbe-50	89	44	.	.	PUNCT
aijbe-50	90	1	specifically	specifically	ADV
aijbe-50	90	2	,	,	PUNCT
aijbe-50	90	3	the	the	DET
aijbe-50	90	4	prophet	prophet	NOUN
aijbe-50	90	5	model	model	NOUN
aijbe-50	90	6	,	,	PUNCT
aijbe-50	90	7	which	which	PRON
aijbe-50	90	8	can	can	AUX
aijbe-50	90	9	capture	capture	VERB
aijbe-50	90	10	periodic	periodic	ADJ
aijbe-50	90	11	features	feature	NOUN
aijbe-50	90	12	in	in	ADP
aijbe-50	90	13	the	the	DET
aijbe-50	90	14	data	datum	NOUN
aijbe-50	90	15	,	,	PUNCT
aijbe-50	90	16	gives	give	VERB
aijbe-50	90	17	better	well	ADJ
aijbe-50	90	18	results	result	NOUN
aijbe-50	90	19	for	for	ADP
aijbe-50	90	20	the	the	DET
aijbe-50	90	21	us	us	PROPN
aijbe-50	90	22	forecasts	forecast	NOUN
aijbe-50	90	23	,	,	PUNCT
aijbe-50	90	24	while	while	SCONJ
aijbe-50	90	25	the	the	DET
aijbe-50	90	26	arima	arima	PROPN
aijbe-50	90	27	model	model	NOUN
aijbe-50	90	28	gives	give	VERB
aijbe-50	90	29	better	well	ADJ
aijbe-50	90	30	results	result	NOUN
aijbe-50	90	31	for	for	ADP
aijbe-50	90	32	brazil	brazil	PROPN
aijbe-50	90	33	and	and	CCONJ
aijbe-50	90	34	india	india	PROPN
aijbe-50	90	35	,	,	PUNCT
aijbe-50	90	36	whose	whose	DET
aijbe-50	90	37	cumulative	cumulative	ADJ
aijbe-50	90	38	cases	case	NOUN
aijbe-50	90	39	tend	tend	VERB
aijbe-50	90	40	to	to	PART
aijbe-50	90	41	grow	grow	VERB
aijbe-50	90	42	.	.	PUNCT
aijbe-50	91	1	the	the	DET
aijbe-50	91	2	sarima	sarima	NOUN
aijbe-50	91	3	model	model	NOUN
aijbe-50	91	4	also	also	ADV
aijbe-50	91	5	captures	capture	VERB
aijbe-50	91	6	daily	daily	ADJ
aijbe-50	91	7	cases	case	NOUN
aijbe-50	91	8	'	'	PART
aijbe-50	91	9	seasonal	seasonal	ADJ
aijbe-50	91	10	characteristics	characteristic	NOUN
aijbe-50	91	11	and	and	CCONJ
aijbe-50	91	12	provides	provide	VERB
aijbe-50	91	13	better	well	ADJ
aijbe-50	91	14	prediction	prediction	NOUN
aijbe-50	91	15	results	result	NOUN
aijbe-50	91	16	it	it	PRON
aijbe-50	91	17	is	be	AUX
aijbe-50	91	18	used	use	VERB
aijbe-50	91	19	arima	arima	NOUN
aijbe-50	91	20	from	from	ADP
aijbe-50	91	21	time	time	NOUN
aijbe-50	91	22	series	series	NOUN
aijbe-50	91	23	models	model	NOUN
aijbe-50	91	24	and	and	CCONJ
aijbe-50	91	25	prophet	prophet	NOUN
aijbe-50	91	26	,	,	PUNCT
aijbe-50	91	27	glmnet	glmnet	PROPN
aijbe-50	91	28	(	(	PUNCT
aijbe-50	91	29	generalized	generalized	ADJ
aijbe-50	91	30	linear	linear	ADJ
aijbe-50	91	31	model	model	NOUN
aijbe-50	91	32	elastic	elastic	ADJ
aijbe-50	91	33	net	net	NOUN
aijbe-50	91	34	)	)	PUNCT
aijbe-50	91	35	,	,	PUNCT
aijbe-50	91	36	random	random	ADJ
aijbe-50	91	37	forest	forest	NOUN
aijbe-50	91	38	and	and	CCONJ
aijbe-50	91	39	xgboost	xgboost	ADV
aijbe-50	91	40	from	from	ADP
aijbe-50	91	41	machine	machine	NOUN
aijbe-50	91	42	learning	learning	NOUN
aijbe-50	91	43	models	model	NOUN
aijbe-50	91	44	to	to	PART
aijbe-50	91	45	predict	predict	VERB
aijbe-50	91	46	covid-19	covid-19	PROPN
aijbe-50	91	47	cases	case	NOUN
aijbe-50	91	48	.	.	PUNCT
aijbe-50	92	1	based	base	VERB
aijbe-50	92	2	on	on	ADP
aijbe-50	92	3	the	the	DET
aijbe-50	92	4	results	result	NOUN
aijbe-50	92	5	of	of	ADP
aijbe-50	92	6	the	the	DET
aijbe-50	92	7	analysis	analysis	NOUN
aijbe-50	92	8	,	,	PUNCT
aijbe-50	92	9	arima	arima	NOUN
aijbe-50	92	10	and	and	CCONJ
aijbe-50	92	11	prophet	prophet	NOUN
aijbe-50	92	12	models	model	NOUN
aijbe-50	92	13	are	be	AUX
aijbe-50	92	14	more	more	ADV
aijbe-50	92	15	appropriate	appropriate	ADJ
aijbe-50	92	16	and	and	CCONJ
aijbe-50	92	17	ideal	ideal	ADJ
aijbe-50	92	18	forecasts	forecast	NOUN
aijbe-50	92	19	for	for	ADP
aijbe-50	92	20	the	the	DET
aijbe-50	92	21	countries	country	NOUN
aijbe-50	92	22	in	in	ADP
aijbe-50	92	23	question	question	NOUN
aijbe-50	92	24	,	,	PUNCT
aijbe-50	92	25	especially	especially	ADV
aijbe-50	92	26	the	the	DET
aijbe-50	92	27	arima	arima	PROPN
aijbe-50	92	28	model	model	NOUN
aijbe-50	92	29	gives	give	VERB
aijbe-50	92	30	better	well	ADJ
aijbe-50	92	31	results	result	NOUN
aijbe-50	92	32	in	in	ADP
aijbe-50	92	33	afghanistan	afghanistan	PROPN
aijbe-50	92	34	,	,	PUNCT
aijbe-50	92	35	bangladesh	bangladesh	PROPN
aijbe-50	92	36	,	,	PUNCT
aijbe-50	92	37	india	india	PROPN
aijbe-50	92	38	,	,	PUNCT
aijbe-50	92	39	maldives	maldives	PROPN
aijbe-50	92	40	,	,	PUNCT
aijbe-50	92	41	and	and	CCONJ
aijbe-50	92	42	sri	sri	PROPN
aijbe-50	92	43	lanka	lanka	PROPN
aijbe-50	92	44	.	.	PUNCT
aijbe-50	93	1	they	they	PRON
aijbe-50	93	2	explained	explain	VERB
aijbe-50	93	3	that	that	SCONJ
aijbe-50	93	4	the	the	DET
aijbe-50	93	5	random	random	ADJ
aijbe-50	93	6	forest	forest	NOUN
aijbe-50	93	7	machine	machine	NOUN
aijbe-50	93	8	learning	learning	NOUN
aijbe-50	93	9	model	model	NOUN
aijbe-50	93	10	was	be	AUX
aijbe-50	93	11	excluded	exclude	VERB
aijbe-50	93	12	due	due	ADP
aijbe-50	93	13	to	to	ADP
aijbe-50	93	14	its	its	PRON
aijbe-50	93	15	poor	poor	ADJ
aijbe-50	93	16	fit	fit	NOUN
aijbe-50	93	17	to	to	ADP
aijbe-50	93	18	the	the	DET
aijbe-50	93	19	data	datum	NOUN
aijbe-50	93	20	set	set	VERB
aijbe-50	93	21	it	it	PRON
aijbe-50	93	22	is	be	AUX
aijbe-50	93	23	obtained	obtain	VERB
aijbe-50	93	24	short	short	ADJ
aijbe-50	93	25	-	-	PUNCT
aijbe-50	93	26	term	term	NOUN
aijbe-50	93	27	prediction	prediction	NOUN
aijbe-50	93	28	results	result	NOUN
aijbe-50	93	29	with	with	ADP
aijbe-50	93	30	covid-19	covid-19	PROPN
aijbe-50	93	31	data	datum	NOUN
aijbe-50	93	32	for	for	ADP
aijbe-50	93	33	india	india	PROPN
aijbe-50	93	34	for	for	ADP
aijbe-50	93	35	the	the	DET
aijbe-50	93	36	period	period	NOUN
aijbe-50	93	37	january	january	PROPN
aijbe-50	93	38	30	30	NUM
aijbe-50	93	39	december	december	PROPN
aijbe-50	93	40	7	7	NUM
aijbe-50	93	41	,	,	PUNCT
aijbe-50	93	42	2020	2020	NUM
aijbe-50	93	43	.	.	PUNCT
aijbe-50	94	1	the	the	DET
aijbe-50	94	2	results	result	NOUN
aijbe-50	94	3	were	be	AUX
aijbe-50	94	4	obtained	obtain	VERB
aijbe-50	94	5	using	use	VERB
aijbe-50	94	6	arima	arima	NOUN
aijbe-50	94	7	and	and	CCONJ
aijbe-50	94	8	some	some	DET
aijbe-50	94	9	machine	machine	NOUN
aijbe-50	94	10	learning	learning	NOUN
aijbe-50	94	11	models	model	NOUN
aijbe-50	94	12	such	such	ADJ
aijbe-50	94	13	as	as	ADP
aijbe-50	94	14	prophet	prophet	NOUN
aijbe-50	94	15	,	,	PUNCT
aijbe-50	94	16	lstm	lstm	ADJ
aijbe-50	94	17	(	(	PUNCT
aijbe-50	94	18	long	long	ADJ
aijbe-50	94	19	short	short	ADJ
aijbe-50	94	20	-	-	PUNCT
aijbe-50	94	21	term	term	NOUN
aijbe-50	94	22	memory	memory	NOUN
aijbe-50	94	23	)	)	PUNCT
aijbe-50	94	24	,	,	PUNCT
aijbe-50	94	25	rnn	rnn	VERB
aijbe-50	94	26	(	(	PUNCT
aijbe-50	94	27	recurrent	recurrent	ADJ
aijbe-50	94	28	neural	neural	ADJ
aijbe-50	94	29	network	network	NOUN
aijbe-50	94	30	)	)	PUNCT
aijbe-50	94	31	,	,	PUNCT
aijbe-50	94	32	gru	gru	PROPN
aijbe-50	94	33	(	(	PUNCT
aijbe-50	94	34	gated	gate	VERB
aijbe-50	94	35	recurrent	recurrent	ADJ
aijbe-50	94	36	unit	unit	NOUN
aijbe-50	94	37	)	)	PUNCT
aijbe-50	94	38	and	and	CCONJ
aijbe-50	94	39	lstm	lstm	PROPN
aijbe-50	94	40	-	-	PUNCT
aijbe-50	94	41	gru	gru	NOUN
aijbe-50	94	42	models	model	NOUN
aijbe-50	94	43	.	.	PUNCT
aijbe-50	95	1	r2	r2	NOUN
aijbe-50	95	2	and	and	CCONJ
aijbe-50	95	3	rmse	rmse	ADJ
aijbe-50	95	4	values	value	NOUN
aijbe-50	95	5	were	be	AUX
aijbe-50	95	6	obtained	obtain	VERB
aijbe-50	95	7	for	for	ADP
aijbe-50	95	8	numerical	numerical	ADJ
aijbe-50	95	9	comparison	comparison	NOUN
aijbe-50	95	10	of	of	ADP
aijbe-50	95	11	the	the	DET
aijbe-50	95	12	performance	performance	NOUN
aijbe-50	95	13	of	of	ADP
aijbe-50	95	14	the	the	DET
aijbe-50	95	15	models	model	NOUN
aijbe-50	95	16	.	.	PUNCT
aijbe-50	96	1	in	in	ADP
aijbe-50	96	2	conclusion	conclusion	NOUN
aijbe-50	96	3	,	,	PUNCT
aijbe-50	96	4	it	it	PRON
aijbe-50	96	5	is	be	AUX
aijbe-50	96	6	shown	show	VERB
aijbe-50	96	7	that	that	SCONJ
aijbe-50	96	8	the	the	DET
aijbe-50	96	9	lstm	lstm	PROPN
aijbe-50	96	10	-	-	PUNCT
aijbe-50	96	11	gru	gru	NOUN
aijbe-50	96	12	model	model	NOUN
aijbe-50	96	13	is	be	AUX
aijbe-50	96	14	superior	superior	ADJ
aijbe-50	96	15	to	to	ADP
aijbe-50	96	16	the	the	DET
aijbe-50	96	17	others	other	NOUN
aijbe-50	96	18	with	with	ADP
aijbe-50	96	19	high	high	ADJ
aijbe-50	96	20	r2	r2	NOUN
aijbe-50	96	21	and	and	CCONJ
aijbe-50	96	22	low	low	ADJ
aijbe-50	96	23	rmse	rmse	NOUN
aijbe-50	96	24	values	value	NOUN
aijbe-50	96	25	[	[	X
aijbe-50	96	26	15	15	NUM
aijbe-50	96	27	]	]	PUNCT
aijbe-50	96	28	.	.	PUNCT
aijbe-50	97	1	it	it	PRON
aijbe-50	97	2	is	be	AUX
aijbe-50	97	3	used	use	VERB
aijbe-50	97	4	covid-19	covid-19	PROPN
aijbe-50	97	5	data	datum	NOUN
aijbe-50	97	6	for	for	ADP
aijbe-50	97	7	twenty	twenty	NUM
aijbe-50	97	8	countries	country	NOUN
aijbe-50	97	9	and	and	CCONJ
aijbe-50	97	10	obtained	obtain	VERB
aijbe-50	97	11	short	short	ADJ
aijbe-50	97	12	and	and	CCONJ
aijbe-50	97	13	long	long	ADV
aijbe-50	97	14	-	-	PUNCT
aijbe-50	97	15	run	run	NOUN
aijbe-50	97	16	predictions	prediction	NOUN
aijbe-50	97	17	using	use	VERB
aijbe-50	97	18	seir	seir	NOUN
aijbe-50	97	19	,	,	PUNCT
aijbe-50	97	20	polynomial	polynomial	ADJ
aijbe-50	97	21	regression	regression	NOUN
aijbe-50	97	22	,	,	PUNCT
aijbe-50	97	23	arima	arima	NOUN
aijbe-50	97	24	and	and	CCONJ
aijbe-50	97	25	prophet	prophet	NOUN
aijbe-50	97	26	model	model	NOUN
aijbe-50	97	27	.	.	PUNCT
aijbe-50	98	1	according	accord	VERB
aijbe-50	98	2	to	to	ADP
aijbe-50	98	3	the	the	DET
aijbe-50	98	4	prediction	prediction	NOUN
aijbe-50	98	5	results	result	NOUN
aijbe-50	98	6	,	,	PUNCT
aijbe-50	98	7	the	the	DET
aijbe-50	98	8	polynomial	polynomial	ADJ
aijbe-50	98	9	regression	regression	NOUN
aijbe-50	98	10	model	model	NOUN
aijbe-50	98	11	gives	give	VERB
aijbe-50	98	12	the	the	DET
aijbe-50	98	13	best	good	ADJ
aijbe-50	98	14	short	short	ADJ
aijbe-50	98	15	-	-	PUNCT
aijbe-50	98	16	term	term	NOUN
aijbe-50	98	17	predictions	prediction	NOUN
aijbe-50	98	18	,	,	PUNCT
aijbe-50	98	19	while	while	SCONJ
aijbe-50	98	20	the	the	DET
aijbe-50	98	21	seir	seir	NOUN
aijbe-50	98	22	model	model	NOUN
aijbe-50	98	23	gives	give	VERB
aijbe-50	98	24	the	the	DET
aijbe-50	98	25	best	good	ADJ
aijbe-50	98	26	long	long	ADJ
aijbe-50	98	27	-	-	PUNCT
aijbe-50	98	28	term	term	NOUN
aijbe-50	98	29	predictions	prediction	NOUN
aijbe-50	98	30	it	it	PRON
aijbe-50	98	31	is	be	AUX
aijbe-50	98	32	developed	develop	VERB
aijbe-50	98	33	a	a	DET
aijbe-50	98	34	new	new	ADJ
aijbe-50	98	35	exponential	exponential	ADJ
aijbe-50	98	36	growth	growth	NOUN
aijbe-50	98	37	model	model	NOUN
aijbe-50	98	38	in	in	ADP
aijbe-50	98	39	their	their	PRON
aijbe-50	98	40	study	study	NOUN
aijbe-50	98	41	,	,	PUNCT
aijbe-50	98	42	arguing	argue	VERB
aijbe-50	98	43	that	that	SCONJ
aijbe-50	98	44	improving	improve	VERB
aijbe-50	98	45	epidemic	epidemic	NOUN
aijbe-50	98	46	models	model	NOUN
aijbe-50	98	47	can	can	AUX
aijbe-50	98	48	be	be	AUX
aijbe-50	98	49	more	more	ADV
aijbe-50	98	50	helpful	helpful	ADJ
aijbe-50	98	51	in	in	ADP
aijbe-50	98	52	explaining	explain	VERB
aijbe-50	98	53	different	different	ADJ
aijbe-50	98	54	periods	period	NOUN
aijbe-50	98	55	of	of	ADP
aijbe-50	98	56	an	an	DET
aijbe-50	98	57	epidemic	epidemic	NOUN
aijbe-50	98	58	.	.	PUNCT
aijbe-50	99	1	the	the	DET
aijbe-50	99	2	model	model	NOUN
aijbe-50	99	3	aims	aim	VERB
aijbe-50	99	4	to	to	PART
aijbe-50	99	5	characterize	characterize	VERB
aijbe-50	99	6	the	the	DET
aijbe-50	99	7	stage	stage	NOUN
aijbe-50	99	8	of	of	ADP
aijbe-50	99	9	the	the	DET
aijbe-50	99	10	epidemic	epidemic	NOUN
aijbe-50	99	11	,	,	PUNCT
aijbe-50	99	12	especially	especially	ADV
aijbe-50	99	13	when	when	SCONJ
aijbe-50	99	14	it	it	PRON
aijbe-50	99	15	shows	show	VERB
aijbe-50	99	16	an	an	DET
aijbe-50	99	17	upward	upward	ADJ
aijbe-50	99	18	trend	trend	NOUN
aijbe-50	99	19	,	,	PUNCT
aijbe-50	99	20	and	and	CCONJ
aijbe-50	99	21	to	to	PART
aijbe-50	99	22	capture	capture	VERB
aijbe-50	99	23	the	the	DET
aijbe-50	99	24	changing	change	VERB
aijbe-50	99	25	epidemic	epidemic	NOUN
aijbe-50	99	26	profile	profile	NOUN
aijbe-50	99	27	for	for	ADP
aijbe-50	99	28	that	that	DET
aijbe-50	99	29	period	period	NOUN
aijbe-50	99	30	.	.	PUNCT
aijbe-50	100	1	to	to	ADP
aijbe-50	100	2	this	this	DET
aijbe-50	100	3	end	end	NOUN
aijbe-50	100	4	,	,	PUNCT
aijbe-50	100	5	the	the	DET
aijbe-50	100	6	model	model	NOUN
aijbe-50	100	7	is	be	AUX
aijbe-50	100	8	applied	apply	VERB
aijbe-50	100	9	to	to	ADP
aijbe-50	100	10	eight	eight	NUM
aijbe-50	100	11	different	different	ADJ
aijbe-50	100	12	infectious	infectious	ADJ
aijbe-50	100	13	diseases	disease	NOUN
aijbe-50	100	14	with	with	ADP
aijbe-50	100	15	various	various	ADJ
aijbe-50	100	16	transmission	transmission	NOUN
aijbe-50	100	17	routes	route	NOUN
aijbe-50	100	18	in	in	ADP
aijbe-50	100	19	twenty	twenty	NUM
aijbe-50	100	20	different	different	ADJ
aijbe-50	100	21	geographies	geography	NOUN
aijbe-50	100	22	and	and	CCONJ
aijbe-50	100	23	the	the	DET
aijbe-50	100	24	same	same	ADJ
aijbe-50	100	25	infectious	infectious	ADJ
aijbe-50	100	26	disease	disease	NOUN
aijbe-50	100	27	(	(	PUNCT
aijbe-50	100	28	ebola	ebola	NOUN
aijbe-50	100	29	)	)	PUNCT
aijbe-50	100	30	in	in	ADP
aijbe-50	100	31	different	different	ADJ
aijbe-50	100	32	periods	period	NOUN
aijbe-50	100	33	.	.	PUNCT
aijbe-50	101	1	the	the	DET
aijbe-50	101	2	results	result	NOUN
aijbe-50	101	3	show	show	VERB
aijbe-50	101	4	that	that	SCONJ
aijbe-50	101	5	the	the	DET
aijbe-50	101	6	growth	growth	NOUN
aijbe-50	101	7	rate	rate	NOUN
aijbe-50	101	8	of	of	ADP
aijbe-50	101	9	the	the	DET
aijbe-50	101	10	same	same	ADJ
aijbe-50	101	11	infectious	infectious	ADJ
aijbe-50	101	12	disease	disease	NOUN
aijbe-50	101	13	changes	change	VERB
aijbe-50	101	14	over	over	ADP
aijbe-50	101	15	time	time	NOUN
aijbe-50	101	16	and	and	CCONJ
aijbe-50	101	17	how	how	SCONJ
aijbe-50	101	18	different	different	ADJ
aijbe-50	101	19	geographical	geographical	ADJ
aijbe-50	101	20	and	and	CCONJ
aijbe-50	101	21	social	social	ADJ
aijbe-50	101	22	conditions	condition	NOUN
aijbe-50	101	23	affect	affect	VERB
aijbe-50	101	24	the	the	DET
aijbe-50	101	25	growth	growth	NOUN
aijbe-50	101	26	rate	rate	NOUN
aijbe-50	101	27	.	.	PUNCT
aijbe-50	102	1	it	it	PRON
aijbe-50	102	2	is	be	AUX
aijbe-50	102	3	explained	explain	VERB
aijbe-50	102	4	that	that	SCONJ
aijbe-50	102	5	the	the	DET
aijbe-50	102	6	epidemic	epidemic	NOUN
aijbe-50	102	7	growth	growth	NOUN
aijbe-50	102	8	rate	rate	NOUN
aijbe-50	102	9	is	be	AUX
aijbe-50	102	10	primarily	primarily	ADV
aijbe-50	102	11	influenced	influence	VERB
aijbe-50	102	12	by	by	ADP
aijbe-50	102	13	limited	limited	ADJ
aijbe-50	102	14	population	population	NOUN
aijbe-50	102	15	contact	contact	NOUN
aijbe-50	102	16	structure	structure	NOUN
aijbe-50	102	17	,	,	PUNCT
aijbe-50	102	18	behavioural	behavioural	ADJ
aijbe-50	102	19	change	change	NOUN
aijbe-50	102	20	over	over	ADP
aijbe-50	102	21	time	time	NOUN
aijbe-50	102	22	or	or	CCONJ
aijbe-50	102	23	early	early	ADJ
aijbe-50	102	24	control	control	NOUN
aijbe-50	102	25	interventions	intervention	NOUN
aijbe-50	102	26	.	.	PUNCT
aijbe-50	103	1	in	in	ADP
aijbe-50	103	2	a	a	DET
aijbe-50	103	3	study	study	NOUN
aijbe-50	103	4	,	,	PUNCT
aijbe-50	103	5	the	the	DET
aijbe-50	103	6	authors	author	NOUN
aijbe-50	103	7	have	have	AUX
aijbe-50	103	8	highlighted	highlight	VERB
aijbe-50	103	9	the	the	DET
aijbe-50	103	10	failures	failure	NOUN
aijbe-50	103	11	of	of	ADP
aijbe-50	103	12	models	model	NOUN
aijbe-50	103	13	used	use	VERB
aijbe-50	103	14	to	to	PART
aijbe-50	103	15	predict	predict	VERB
aijbe-50	103	16	the	the	DET
aijbe-50	103	17	spread	spread	NOUN
aijbe-50	103	18	of	of	ADP
aijbe-50	103	19	infectious	infectious	ADJ
aijbe-50	103	20	diseases	disease	NOUN
aijbe-50	103	21	.	.	PUNCT
aijbe-50	104	1	the	the	DET
aijbe-50	104	2	failure	failure	NOUN
aijbe-50	104	3	of	of	ADP
aijbe-50	104	4	models	model	NOUN
aijbe-50	104	5	used	use	VERB
aijbe-50	104	6	to	to	PART
aijbe-50	104	7	predict	predict	VERB
aijbe-50	104	8	the	the	DET
aijbe-50	104	9	spread	spread	NOUN
aijbe-50	104	10	of	of	ADP
aijbe-50	104	11	covid-19	covid-19	PROPN
aijbe-50	104	12	,	,	PUNCT
aijbe-50	104	13	has	have	AUX
aijbe-50	104	14	made	make	VERB
aijbe-50	104	15	this	this	DET
aijbe-50	104	16	situation	situation	NOUN
aijbe-50	104	17	even	even	ADV
aijbe-50	104	18	more	more	ADV
aijbe-50	104	19	pronounced	pronounced	ADJ
aijbe-50	104	20	.	.	PUNCT
aijbe-50	105	1	the	the	DET
aijbe-50	105	2	reasons	reason	NOUN
aijbe-50	105	3	for	for	ADP
aijbe-50	105	4	this	this	DET
aijbe-50	105	5	failure	failure	NOUN
aijbe-50	105	6	are	be	AUX
aijbe-50	105	7	poor	poor	ADJ
aijbe-50	105	8	data	datum	NOUN
aijbe-50	105	9	input	input	NOUN
aijbe-50	105	10	,	,	PUNCT
aijbe-50	105	11	poor	poor	ADJ
aijbe-50	105	12	modeling	modeling	NOUN
aijbe-50	105	13	,	,	PUNCT
aijbe-50	105	14	inaccurate	inaccurate	ADJ
aijbe-50	105	15	and	and	CCONJ
aijbe-50	105	16	inconsistent	inconsistent	ADJ
aijbe-50	105	17	assumptions	assumption	NOUN
aijbe-50	105	18	,	,	PUNCT
aijbe-50	105	19	the	the	DET
aijbe-50	105	20	predictors	predictor	NOUN
aijbe-50	105	21	being	be	AUX
aijbe-50	105	22	overly	overly	ADV
aijbe-50	105	23	sensitive	sensitive	ADJ
aijbe-50	105	24	,	,	PUNCT
aijbe-50	105	25	the	the	DET
aijbe-50	105	26	distinctive	distinctive	ADJ
aijbe-50	105	27	features	feature	NOUN
aijbe-50	105	28	of	of	ADP
aijbe-50	105	29	the	the	DET
aijbe-50	105	30	outbreak	outbreak	NOUN
aijbe-50	105	31	not	not	PART
aijbe-50	105	32	yet	yet	ADV
aijbe-50	105	33	fully	fully	ADV
aijbe-50	105	34	determined	determine	VERB
aijbe-50	105	35	and	and	CCONJ
aijbe-50	105	36	included	include	VERB
aijbe-50	105	37	in	in	ADP
aijbe-50	105	38	the	the	DET
aijbe-50	105	39	models	model	NOUN
aijbe-50	105	40	,	,	PUNCT
aijbe-50	105	41	the	the	DET
aijbe-50	105	42	lack	lack	NOUN
aijbe-50	105	43	of	of	ADP
aijbe-50	105	44	accuracy	accuracy	NOUN
aijbe-50	105	45	of	of	ADP
aijbe-50	105	46	existing	exist	VERB
aijbe-50	105	47	prevention	prevention	NOUN
aijbe-50	105	48	measures	measure	NOUN
aijbe-50	105	49	,	,	PUNCT
aijbe-50	105	50	lack	lack	NOUN
aijbe-50	105	51	of	of	ADP
aijbe-50	105	52	transparency	transparency	NOUN
aijbe-50	105	53	of	of	ADP
aijbe-50	105	54	data	datum	NOUN
aijbe-50	105	55	,	,	PUNCT
aijbe-50	105	56	lack	lack	NOUN
aijbe-50	105	57	of	of	ADP
aijbe-50	105	58	determining	determine	VERB
aijbe-50	105	59	parameters	parameter	NOUN
aijbe-50	105	60	,	,	PUNCT
aijbe-50	105	61	and	and	CCONJ
aijbe-50	105	62	reporting	report	VERB
aijbe-50	105	63	errors	error	NOUN
aijbe-50	105	64	.	.	PUNCT
aijbe-50	106	1	however	however	ADV
aijbe-50	106	2	,	,	PUNCT
aijbe-50	106	3	solutions	solution	NOUN
aijbe-50	106	4	for	for	ADP
aijbe-50	106	5	some	some	PRON
aijbe-50	106	6	of	of	ADP
aijbe-50	106	7	these	these	DET
aijbe-50	106	8	issues	issue	NOUN
aijbe-50	106	9	have	have	AUX
aijbe-50	106	10	been	be	AUX
aijbe-50	106	11	proposed	propose	VERB
aijbe-50	106	12	such	such	ADJ
aijbe-50	106	13	as	as	ADP
aijbe-50	106	14	making	make	VERB
aijbe-50	106	15	wave	wave	NOUN
aijbe-50	106	16	predictions	prediction	NOUN
aijbe-50	106	17	instead	instead	ADV
aijbe-50	106	18	of	of	ADP
aijbe-50	106	19	point	point	NOUN
aijbe-50	106	20	predictions	prediction	NOUN
aijbe-50	106	21	and	and	CCONJ
aijbe-50	106	22	selecting	selecting	NOUN
aijbe-50	106	23	models	model	NOUN
aijbe-50	106	24	that	that	PRON
aijbe-50	106	25	are	be	AUX
aijbe-50	106	26	developed	develop	VERB
aijbe-50	106	27	and	and	CCONJ
aijbe-50	106	28	expanded	expand	VERB
aijbe-50	106	29	based	base	VERB
aijbe-50	106	30	on	on	ADP
aijbe-50	106	31	performance	performance	NOUN
aijbe-50	106	32	results	result	NOUN
aijbe-50	106	33	in	in	ADP
aijbe-50	106	34	a	a	DET
aijbe-50	106	35	study	study	NOUN
aijbe-50	106	36	,	,	PUNCT
aijbe-50	106	37	the	the	DET
aijbe-50	106	38	authors	author	NOUN
aijbe-50	106	39	aimed	aim	VERB
aijbe-50	106	40	to	to	PART
aijbe-50	106	41	use	use	VERB
aijbe-50	106	42	various	various	ADJ
aijbe-50	106	43	time	time	NOUN
aijbe-50	106	44	series	series	PROPN
aijbe-50	106	45	forecasting	forecasting	NOUN
aijbe-50	106	46	models	model	NOUN
aijbe-50	106	47	such	such	ADJ
aijbe-50	106	48	as	as	ADP
aijbe-50	106	49	prophet	prophet	NOUN
aijbe-50	106	50	,	,	PUNCT
aijbe-50	106	51	holt	holt	PROPN
aijbe-50	106	52	-	-	PUNCT
aijbe-50	106	53	winters	winter	NOUN
aijbe-50	106	54	,	,	PUNCT
aijbe-50	106	55	lstm	lstm	PROPN
aijbe-50	106	56	,	,	PUNCT
aijbe-50	106	57	arima	arima	PROPN
aijbe-50	106	58	,	,	PUNCT
aijbe-50	106	59	and	and	CCONJ
aijbe-50	106	60	arima	arima	NOUN
aijbe-50	106	61	-	-	PUNCT
aijbe-50	106	62	narnn	narnn	NOUN
aijbe-50	106	63	to	to	PART
aijbe-50	106	64	predict	predict	VERB
aijbe-50	106	65	short	short	ADJ
aijbe-50	106	66	-	-	PUNCT
aijbe-50	106	67	term	term	NOUN
aijbe-50	106	68	daily	daily	ADJ
aijbe-50	106	69	and	and	CCONJ
aijbe-50	106	70	cumulative	cumulative	ADJ
aijbe-50	106	71	case	case	NOUN
aijbe-50	106	72	forecasts	forecast	NOUN
aijbe-50	106	73	of	of	ADP
aijbe-50	106	74	covid-19	covid-19	PROPN
aijbe-50	106	75	,	,	PUNCT
aijbe-50	106	76	model	model	VERB
aijbe-50	106	77	the	the	DET
aijbe-50	106	78	general	general	ADJ
aijbe-50	106	79	trend	trend	NOUN
aijbe-50	106	80	of	of	ADP
aijbe-50	106	81	the	the	DET
aijbe-50	106	82	outbreak	outbreak	NOUN
aijbe-50	106	83	,	,	PUNCT
aijbe-50	106	84	and	and	CCONJ
aijbe-50	106	85	model	model	VERB
aijbe-50	106	86	the	the	DET
aijbe-50	106	87	time	time	NOUN
aijbe-50	106	88	series	series	NOUN
aijbe-50	106	89	based	base	VERB
aijbe-50	106	90	on	on	ADP
aijbe-50	106	91	linear	linear	PROPN
aijbe-50	106	92	and	and	CCONJ
aijbe-50	106	93	non	non	ADJ
aijbe-50	106	94	-	-	ADJ
aijbe-50	106	95	linear	linear	ADJ
aijbe-50	106	96	features	feature	NOUN
aijbe-50	106	97	.	.	PUNCT
aijbe-50	107	1	the	the	DET
aijbe-50	107	2	results	result	NOUN
aijbe-50	107	3	obtained	obtain	VERB
aijbe-50	107	4	were	be	AUX
aijbe-50	107	5	compared	compare	VERB
aijbe-50	107	6	with	with	ADP
aijbe-50	107	7	various	various	ADJ
aijbe-50	107	8	statistical	statistical	ADJ
aijbe-50	107	9	measurements	measurement	NOUN
aijbe-50	107	10	.	.	PUNCT
aijbe-50	108	1	in	in	ADP
aijbe-50	108	2	this	this	DET
aijbe-50	108	3	regard	regard	NOUN
aijbe-50	108	4	,	,	PUNCT
aijbe-50	108	5	it	it	PRON
aijbe-50	108	6	was	be	AUX
aijbe-50	108	7	reported	report	VERB
aijbe-50	108	8	that	that	SCONJ
aijbe-50	108	9	the	the	DET
aijbe-50	108	10	models	model	NOUN
aijbe-50	108	11	showed	show	VERB
aijbe-50	108	12	good	good	ADJ
aijbe-50	108	13	performance	performance	NOUN
aijbe-50	108	14	,	,	PUNCT
aijbe-50	108	15	but	but	CCONJ
aijbe-50	108	16	the	the	DET
aijbe-50	108	17	arima	arima	NOUN
aijbe-50	108	18	and	and	CCONJ
aijbe-50	108	19	narnn	narnn	NOUN
aijbe-50	108	20	(	(	PUNCT
aijbe-50	108	21	arima	arima	NOUN
aijbe-50	108	22	-	-	PUNCT
aijbe-50	108	23	narnn	narnn	NOUN
aijbe-50	108	24	)	)	PUNCT
aijbe-50	108	25	hybrid	hybrid	NOUN
aijbe-50	108	26	combination	combination	NOUN
aijbe-50	108	27	had	have	VERB
aijbe-50	108	28	the	the	DET
aijbe-50	108	29	best	good	ADJ
aijbe-50	108	30	performance	performance	NOUN
aijbe-50	108	31	in	in	ADP
aijbe-50	108	32	a	a	DET
aijbe-50	108	33	study	study	NOUN
aijbe-50	108	34	,	,	PUNCT
aijbe-50	108	35	the	the	DET
aijbe-50	108	36	aim	aim	NOUN
aijbe-50	108	37	is	be	AUX
aijbe-50	108	38	to	to	PART
aijbe-50	108	39	estimate	estimate	VERB
aijbe-50	108	40	the	the	DET
aijbe-50	108	41	extent	extent	NOUN
aijbe-50	108	42	of	of	ADP
aijbe-50	108	43	the	the	DET
aijbe-50	108	44	covid-19	covid-19	PROPN
aijbe-50	108	45	outbreak	outbreak	NOUN
aijbe-50	108	46	in	in	ADP
aijbe-50	108	47	pakistan	pakistan	PROPN
aijbe-50	108	48	and	and	CCONJ
aijbe-50	108	49	case	case	NOUN
aijbe-50	108	50	forecast	forecast	NOUN
aijbe-50	108	51	predictions	prediction	NOUN
aijbe-50	108	52	using	use	VERB
aijbe-50	108	53	arima	arima	NOUN
aijbe-50	108	54	,	,	PUNCT
aijbe-50	108	55	diffusion	diffusion	NOUN
aijbe-50	108	56	,	,	PUNCT
aijbe-50	108	57	sird	sird	NOUN
aijbe-50	108	58	and	and	CCONJ
aijbe-50	108	59	prophet	prophet	NOUN
aijbe-50	108	60	models	model	NOUN
aijbe-50	108	61	.	.	PUNCT
aijbe-50	109	1	the	the	DET
aijbe-50	109	2	short	short	ADJ
aijbe-50	109	3	-	-	PUNCT
aijbe-50	109	4	term	term	NOUN
aijbe-50	109	5	forecast	forecast	NOUN
aijbe-50	109	6	results	result	NOUN
aijbe-50	109	7	obtained	obtain	VERB
aijbe-50	109	8	show	show	NOUN
aijbe-50	109	9	similarities	similarity	NOUN
aijbe-50	109	10	and	and	CCONJ
aijbe-50	109	11	indicated	indicate	VERB
aijbe-50	109	12	that	that	SCONJ
aijbe-50	109	13	the	the	DET
aijbe-50	109	14	highest	high	ADJ
aijbe-50	109	15	number	number	NOUN
aijbe-50	109	16	of	of	ADP
aijbe-50	109	17	infectious	infectious	ADJ
aijbe-50	109	18	cases	case	NOUN
aijbe-50	109	19	could	could	AUX
aijbe-50	109	20	be	be	AUX
aijbe-50	109	21	reached	reach	VERB
aijbe-50	109	22	between	between	ADP
aijbe-50	109	23	june	june	PROPN
aijbe-50	109	24	2020	2020	NUM
aijbe-50	109	25	and	and	CCONJ
aijbe-50	109	26	july	july	PROPN
aijbe-50	109	27	2020	2020	NUM
aijbe-50	109	28	.	.	PUNCT
aijbe-50	110	1	due	due	ADP
aijbe-50	110	2	to	to	ADP
aijbe-50	110	3	this	this	DET
aijbe-50	110	4	reason	reason	NOUN
aijbe-50	110	5	,	,	PUNCT
aijbe-50	110	6	it	it	PRON
aijbe-50	110	7	is	be	AUX
aijbe-50	110	8	conveyed	convey	VERB
aijbe-50	110	9	that	that	SCONJ
aijbe-50	110	10	most	most	ADJ
aijbe-50	110	11	of	of	ADP
aijbe-50	110	12	the	the	DET
aijbe-50	110	13	population	population	NOUN
aijbe-50	110	14	is	be	AUX
aijbe-50	110	15	under	under	ADP
aijbe-50	110	16	the	the	DET
aijbe-50	110	17	threat	threat	NOUN
aijbe-50	110	18	of	of	ADP
aijbe-50	110	19	covid-19	covid-19	PROPN
aijbe-50	110	20	and	and	CCONJ
aijbe-50	110	21	that	that	SCONJ
aijbe-50	110	22	the	the	DET
aijbe-50	110	23	measures	measure	NOUN
aijbe-50	110	24	taken	take	VERB
aijbe-50	110	25	by	by	ADP
aijbe-50	110	26	the	the	DET
aijbe-50	110	27	government	government	NOUN
aijbe-50	110	28	should	should	AUX
aijbe-50	110	29	be	be	AUX
aijbe-50	110	30	reviewed	review	VERB
aijbe-50	110	31	and	and	CCONJ
aijbe-50	110	32	improved	improve	VERB
aijbe-50	110	33	2.2	2.2	NUM
aijbe-50	110	34	.	.	PUNCT
aijbe-50	111	1	theoretical	theoretical	ADJ
aijbe-50	111	2	background	background	NOUN
aijbe-50	111	3	prophet	prophet	NOUN
aijbe-50	111	4	model	model	NOUN
aijbe-50	111	5	is	be	AUX
aijbe-50	111	6	a	a	DET
aijbe-50	111	7	time	time	NOUN
aijbe-50	111	8	series	series	NOUN
aijbe-50	111	9	forecasting	forecasting	NOUN
aijbe-50	111	10	model	model	NOUN
aijbe-50	111	11	developed	develop	VERB
aijbe-50	111	12	by	by	ADP
aijbe-50	111	13	facebook	facebook	PROPN
aijbe-50	111	14	's	's	PART
aijbe-50	111	15	core	core	NOUN
aijbe-50	111	16	data	datum	NOUN
aijbe-50	111	17	science	science	NOUN
aijbe-50	111	18	team	team	NOUN
aijbe-50	111	19	in	in	ADP
aijbe-50	111	20	2018	2018	NUM
aijbe-50	111	21	.	.	PUNCT
aijbe-50	112	1	it	it	PRON
aijbe-50	112	2	is	be	AUX
aijbe-50	112	3	designed	design	VERB
aijbe-50	112	4	to	to	PART
aijbe-50	112	5	make	make	VERB
aijbe-50	112	6	forecasting	forecast	VERB
aijbe-50	112	7	future	future	ADJ
aijbe-50	112	8	data	datum	NOUN
aijbe-50	112	9	points	point	NOUN
aijbe-50	112	10	as	as	ADV
aijbe-50	112	11	simple	simple	ADJ
aijbe-50	112	12	as	as	ADP
aijbe-50	112	13	possible	possible	ADJ
aijbe-50	112	14	and	and	CCONJ
aijbe-50	112	15	is	be	AUX
aijbe-50	112	16	particularly	particularly	ADV
aijbe-50	112	17	well	well	ADV
aijbe-50	112	18	-	-	PUNCT
aijbe-50	112	19	suited	suit	VERB
aijbe-50	112	20	for	for	ADP
aijbe-50	112	21	business	business	NOUN
aijbe-50	112	22	time	time	NOUN
aijbe-50	112	23	series	series	PROPN
aijbe-50	112	24	data	data	PROPN
aijbe-50	112	25	.	.	PUNCT
aijbe-50	113	1	prophet	prophet	NOUN
aijbe-50	113	2	is	be	AUX
aijbe-50	113	3	a	a	DET
aijbe-50	113	4	procedure	procedure	NOUN
aijbe-50	113	5	for	for	ADP
aijbe-50	113	6	forecasting	forecasting	NOUN
aijbe-50	113	7	time	time	NOUN
aijbe-50	113	8	series	series	PROPN
aijbe-50	113	9	data	datum	NOUN
aijbe-50	113	10	based	base	VERB
aijbe-50	113	11	on	on	ADP
aijbe-50	113	12	an	an	DET
aijbe-50	113	13	additive	additive	ADJ
aijbe-50	113	14	model	model	NOUN
aijbe-50	113	15	yeliz	yeliz	PROPN
aijbe-50	113	16	zoğal	zoğal	PROPN
aijbe-50	113	17	(	(	PUNCT
aijbe-50	113	18	2022	2022	NUM
aijbe-50	113	19	)	)	PUNCT
aijbe-50	113	20	12	12	NUM
aijbe-50	113	21	american	american	ADJ
aijbe-50	113	22	interdisciplinary	interdisciplinary	ADJ
aijbe-50	113	23	journal	journal	NOUN
aijbe-50	113	24	of	of	ADP
aijbe-50	113	25	business	business	NOUN
aijbe-50	113	26	and	and	CCONJ
aijbe-50	113	27	economics	economic	NOUN
aijbe-50	113	28	|	|	ADV
aijbe-50	113	29	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	INTJ
aijbe-50	113	30	where	where	SCONJ
aijbe-50	113	31	non	non	ADJ
aijbe-50	113	32	-	-	ADJ
aijbe-50	113	33	linear	linear	ADJ
aijbe-50	113	34	trends	trend	NOUN
aijbe-50	113	35	are	be	AUX
aijbe-50	113	36	fit	fit	ADJ
aijbe-50	113	37	with	with	ADP
aijbe-50	113	38	yearly	yearly	ADJ
aijbe-50	113	39	,	,	PUNCT
aijbe-50	113	40	weekly	weekly	ADJ
aijbe-50	113	41	,	,	PUNCT
aijbe-50	113	42	and	and	CCONJ
aijbe-50	113	43	daily	daily	ADJ
aijbe-50	113	44	seasonality	seasonality	NOUN
aijbe-50	113	45	,	,	PUNCT
aijbe-50	113	46	plus	plus	CCONJ
aijbe-50	113	47	holiday	holiday	NOUN
aijbe-50	113	48	effects	effect	NOUN
aijbe-50	113	49	[	[	X
aijbe-50	113	50	13	13	NUM
aijbe-50	113	51	]	]	PUNCT
aijbe-50	113	52	.	.	PUNCT
aijbe-50	114	1	the	the	DET
aijbe-50	114	2	model	model	NOUN
aijbe-50	114	3	has	have	VERB
aijbe-50	114	4	three	three	NUM
aijbe-50	114	5	different	different	ADJ
aijbe-50	114	6	components	component	NOUN
aijbe-50	114	7	𝑦	𝑦	PROPN
aijbe-50	114	8	�	�	PROPN
aijbe-50	114	9	(𝑡	(𝑡	SYM
aijbe-50	114	10	�	�	PROPN
aijbe-50	114	11	)	)	PUNCT
aijbe-50	114	12	=	=	PUNCT
aijbe-50	114	13	𝑔	𝑔	PROPN
aijbe-50	114	14	�	�	PROPN
aijbe-50	114	15	(𝑡	(𝑡	SYM
aijbe-50	114	16	�	�	PROPN
aijbe-50	114	17	)	)	PUNCT
aijbe-50	114	18	+	+	CCONJ
aijbe-50	114	19	𝑠	𝑠	PROPN
aijbe-50	114	20	�	�	PROPN
aijbe-50	114	21	(𝑡	(𝑡	SYM
aijbe-50	114	22	�	�	PROPN
aijbe-50	114	23	)	)	PUNCT
aijbe-50	114	24	+	+	CCONJ
aijbe-50	114	25	ℎ(𝑡	ℎ(𝑡	PROPN
aijbe-50	114	26	�	�	PROPN
aijbe-50	114	27	)	)	PUNCT
aijbe-50	114	28	+	+	CCONJ
aijbe-50	114	29	𝜀	𝜀	PART
aijbe-50	114	30	�	�	SYM
aijbe-50	114	31	𝑡	𝑡	X
aijbe-50	114	32	�	�	PROPN
aijbe-50	114	33	(	(	PUNCT
aijbe-50	114	34	1	1	NUM
aijbe-50	114	35	)	)	PUNCT
aijbe-50	114	36	here	here	ADV
aijbe-50	114	37	,	,	PUNCT
aijbe-50	114	38	𝑦	𝑦	NOUN
aijbe-50	114	39	�	�	PROPN
aijbe-50	114	40	(𝑡	(𝑡	SYM
aijbe-50	114	41	�	�	PROPN
aijbe-50	114	42	)	)	PUNCT
aijbe-50	114	43	is	be	AUX
aijbe-50	114	44	the	the	DET
aijbe-50	114	45	number	number	NOUN
aijbe-50	114	46	of	of	ADP
aijbe-50	114	47	cases	case	NOUN
aijbe-50	114	48	,	,	PUNCT
aijbe-50	114	49	𝑔	𝑔	PROPN
aijbe-50	114	50	�	�	PROPN
aijbe-50	114	51	(𝑡	(𝑡	SYM
aijbe-50	114	52	�	�	PROPN
aijbe-50	114	53	)	)	PUNCT
aijbe-50	114	54	is	be	AUX
aijbe-50	114	55	the	the	DET
aijbe-50	114	56	trend	trend	NOUN
aijbe-50	114	57	,	,	PUNCT
aijbe-50	114	58	that	that	ADV
aijbe-50	114	59	is	is	ADV
aijbe-50	114	60	,	,	PUNCT
aijbe-50	114	61	the	the	DET
aijbe-50	114	62	trend	trend	NOUN
aijbe-50	114	63	function	function	VERB
aijbe-50	114	64	that	that	PRON
aijbe-50	114	65	captures	capture	VERB
aijbe-50	114	66	non	non	ADJ
aijbe-50	114	67	-	-	ADJ
aijbe-50	114	68	periodic	periodic	ADJ
aijbe-50	114	69	changes	change	NOUN
aijbe-50	114	70	in	in	ADP
aijbe-50	114	71	the	the	DET
aijbe-50	114	72	time	time	NOUN
aijbe-50	114	73	series	series	PROPN
aijbe-50	114	74	,	,	PUNCT
aijbe-50	114	75	𝑠	𝑠	PROPN
aijbe-50	114	76	�	�	PROPN
aijbe-50	114	77	(𝑡	(𝑡	SYM
aijbe-50	114	78	�	�	PROPN
aijbe-50	114	79	)	)	PUNCT
aijbe-50	114	80	is	be	AUX
aijbe-50	114	81	the	the	DET
aijbe-50	114	82	seasonality	seasonality	NOUN
aijbe-50	114	83	,	,	PUNCT
aijbe-50	114	84	that	that	ADV
aijbe-50	114	85	is	is	ADV
aijbe-50	114	86	,	,	PUNCT
aijbe-50	114	87	the	the	DET
aijbe-50	114	88	part	part	NOUN
aijbe-50	114	89	of	of	ADP
aijbe-50	114	90	the	the	DET
aijbe-50	114	91	time	time	NOUN
aijbe-50	114	92	series	series	NOUN
aijbe-50	114	93	that	that	PRON
aijbe-50	114	94	captures	capture	VERB
aijbe-50	114	95	periodic	periodic	ADJ
aijbe-50	114	96	(	(	PUNCT
aijbe-50	114	97	weekly	weekly	ADJ
aijbe-50	114	98	or	or	CCONJ
aijbe-50	114	99	yearly	yearly	ADJ
aijbe-50	114	100	)	)	PUNCT
aijbe-50	114	101	changes	change	NOUN
aijbe-50	114	102	,	,	PUNCT
aijbe-50	114	103	ℎ(𝑡	ℎ(𝑡	PROPN
aijbe-50	114	104	�	�	PROPN
aijbe-50	114	105	)	)	PUNCT
aijbe-50	114	106	is	be	AUX
aijbe-50	114	107	the	the	DET
aijbe-50	114	108	part	part	NOUN
aijbe-50	114	109	that	that	PRON
aijbe-50	114	110	represents	represent	VERB
aijbe-50	114	111	holidays	holiday	NOUN
aijbe-50	114	112	that	that	PRON
aijbe-50	114	113	occur	occur	VERB
aijbe-50	114	114	at	at	ADP
aijbe-50	114	115	irregular	irregular	ADJ
aijbe-50	114	116	intervals	interval	NOUN
aijbe-50	114	117	,	,	PUNCT
aijbe-50	114	118	and	and	CCONJ
aijbe-50	114	119	𝜀	𝜀	PART
aijbe-50	114	120	�	�	PROPN
aijbe-50	114	121	𝑡	𝑡	NOUN
aijbe-50	114	122	�	�	PROPN
aijbe-50	114	123	is	be	AUX
aijbe-50	114	124	the	the	DET
aijbe-50	114	125	error	error	NOUN
aijbe-50	114	126	term	term	NOUN
aijbe-50	114	127	that	that	PRON
aijbe-50	114	128	includes	include	VERB
aijbe-50	114	129	specific	specific	ADJ
aijbe-50	114	130	changes	change	NOUN
aijbe-50	114	131	that	that	PRON
aijbe-50	114	132	can	can	AUX
aijbe-50	114	133	not	not	PART
aijbe-50	114	134	be	be	AUX
aijbe-50	114	135	covered	cover	VERB
aijbe-50	114	136	or	or	CCONJ
aijbe-50	114	137	handled	handle	VERB
aijbe-50	114	138	by	by	ADP
aijbe-50	114	139	the	the	DET
aijbe-50	114	140	model	model	NOUN
aijbe-50	114	141	[	[	X
aijbe-50	114	142	17	17	NUM
aijbe-50	114	143	]	]	PUNCT
aijbe-50	114	144	.	.	PUNCT
aijbe-50	115	1	the	the	DET
aijbe-50	115	2	functions	function	NOUN
aijbe-50	115	3	handled	handle	VERB
aijbe-50	115	4	in	in	ADP
aijbe-50	115	5	the	the	DET
aijbe-50	115	6	model	model	NOUN
aijbe-50	115	7	are	be	AUX
aijbe-50	115	8	as	as	SCONJ
aijbe-50	115	9	follows	follow	VERB
aijbe-50	115	10	:	:	PUNCT
aijbe-50	115	11	𝑔	𝑔	X
aijbe-50	115	12	�	�	PROPN
aijbe-50	115	13	(𝑡	(𝑡	SYM
aijbe-50	115	14	�	�	PROPN
aijbe-50	115	15	)	)	PUNCT
aijbe-50	115	16	=	=	SYM
aijbe-50	115	17	1	1	NUM
aijbe-50	115	18	+	+	NOUN
aijbe-50	115	19	𝑒	𝑒	PROPN
aijbe-50	115	20	�	�	PROPN
aijbe-50	115	21	𝑥	𝑥	NOUN
aijbe-50	115	22	�	�	PROPN
aijbe-50	115	23	𝑝	𝑝	PROPN
aijbe-50	115	24	�	�	PROPN
aijbe-50	115	25	(−𝐶	(−𝐶	SYM
aijbe-50	115	26	�	�	PROPN
aijbe-50	115	27	𝑘	𝑘	NOUN
aijbe-50	115	28	�	�	PROPN
aijbe-50	115	29	(𝑡	(𝑡	PROPN
aijbe-50	115	30	�	�	PROPN
aijbe-50	115	31	−𝑚	−𝑚	PROPN
aijbe-50	115	32	�	�	PROPN
aijbe-50	115	33	)	)	PUNCT
aijbe-50	115	34	)	)	PUNCT
aijbe-50	116	1	(	(	PUNCT
aijbe-50	116	2	2	2	X
aijbe-50	116	3	)	)	PUNCT
aijbe-50	116	4	as	as	SCONJ
aijbe-50	116	5	the	the	DET
aijbe-50	116	6	growth	growth	NOUN
aijbe-50	116	7	in	in	ADP
aijbe-50	116	8	facebook	facebook	PROPN
aijbe-50	116	9	is	be	AUX
aijbe-50	116	10	similar	similar	ADJ
aijbe-50	116	11	to	to	ADP
aijbe-50	116	12	growth	growth	NOUN
aijbe-50	116	13	in	in	ADP
aijbe-50	116	14	a	a	DET
aijbe-50	116	15	natural	natural	ADJ
aijbe-50	116	16	ecosystem	ecosystem	NOUN
aijbe-50	116	17	(	(	PUNCT
aijbe-50	116	18	just	just	ADV
aijbe-50	116	19	like	like	ADP
aijbe-50	116	20	the	the	DET
aijbe-50	116	21	increase	increase	NOUN
aijbe-50	116	22	in	in	ADP
aijbe-50	116	23	cases	case	NOUN
aijbe-50	116	24	)	)	PUNCT
aijbe-50	116	25	,	,	PUNCT
aijbe-50	116	26	a	a	DET
aijbe-50	116	27	logistic	logistic	ADJ
aijbe-50	116	28	growth	growth	NOUN
aijbe-50	116	29	model	model	NOUN
aijbe-50	116	30	was	be	AUX
aijbe-50	116	31	added	add	VERB
aijbe-50	116	32	to	to	PART
aijbe-50	116	33	capture	capture	VERB
aijbe-50	116	34	the	the	DET
aijbe-50	116	35	increase	increase	NOUN
aijbe-50	116	36	in	in	ADP
aijbe-50	116	37	the	the	DET
aijbe-50	116	38	trend	trend	NOUN
aijbe-50	116	39	.	.	PUNCT
aijbe-50	117	1	c	c	PROPN
aijbe-50	117	2	denotes	denote	VERB
aijbe-50	117	3	the	the	DET
aijbe-50	117	4	carrying	carrying	NOUN
aijbe-50	117	5	capacity	capacity	NOUN
aijbe-50	117	6	,	,	PUNCT
aijbe-50	117	7	k	k	PROPN
aijbe-50	117	8	denotes	denote	VERB
aijbe-50	117	9	the	the	DET
aijbe-50	117	10	growth	growth	NOUN
aijbe-50	117	11	rate	rate	NOUN
aijbe-50	117	12	,	,	PUNCT
aijbe-50	117	13	and	and	CCONJ
aijbe-50	117	14	m	m	PROPN
aijbe-50	117	15	denotes	denote	VERB
aijbe-50	117	16	the	the	DET
aijbe-50	117	17	offset	offset	NOUN
aijbe-50	117	18	parameter	parameter	NOUN
aijbe-50	117	19	.	.	PUNCT
aijbe-50	118	1	𝑛	𝑛	PROPN
aijbe-50	118	2	�	�	PROPN
aijbe-50	118	3	𝜋	𝜋	NOUN
aijbe-50	118	4	�	�	PROPN
aijbe-50	118	5	𝑡	𝑡	NOUN
aijbe-50	118	6	�	�	PROPN
aijbe-50	118	7	𝑠	𝑠	NUM
aijbe-50	118	8	�	�	PROPN
aijbe-50	118	9	(	(	PUNCT
aijbe-50	118	10	3	3	NUM
aijbe-50	118	11	)	)	PUNCT
aijbe-50	118	12	𝑝	𝑝	PROPN
aijbe-50	118	13	�	�	PROPN
aijbe-50	118	14	𝑝	𝑝	PROPN
aijbe-50	118	15	�	�	PROPN
aijbe-50	118	16	time	time	NOUN
aijbe-50	118	17	series	series	NOUN
aijbe-50	118	18	are	be	AUX
aijbe-50	118	19	often	often	ADV
aijbe-50	118	20	susceptible	susceptible	ADJ
aijbe-50	118	21	to	to	ADP
aijbe-50	118	22	multi	multi	ADJ
aijbe-50	118	23	-	-	ADJ
aijbe-50	118	24	period	period	NOUN
aijbe-50	118	25	seasonality	seasonality	NOUN
aijbe-50	118	26	due	due	ADP
aijbe-50	118	27	to	to	ADP
aijbe-50	118	28	the	the	DET
aijbe-50	118	29	human	human	ADJ
aijbe-50	118	30	behaviour	behaviour	NOUN
aijbe-50	118	31	they	they	PRON
aijbe-50	118	32	represent	represent	VERB
aijbe-50	118	33	.	.	PUNCT
aijbe-50	119	1	this	this	PRON
aijbe-50	119	2	can	can	AUX
aijbe-50	119	3	be	be	AUX
aijbe-50	119	4	a	a	DET
aijbe-50	119	5	five	five	NUM
aijbe-50	119	6	-	-	PUNCT
aijbe-50	119	7	day	day	NOUN
aijbe-50	119	8	working	working	ADJ
aijbe-50	119	9	week	week	NOUN
aijbe-50	119	10	,	,	PUNCT
aijbe-50	119	11	vacation	vacation	NOUN
aijbe-50	119	12	schedules	schedule	NOUN
aijbe-50	119	13	or	or	CCONJ
aijbe-50	119	14	school	school	NOUN
aijbe-50	119	15	holidays	holiday	NOUN
aijbe-50	119	16	that	that	PRON
aijbe-50	119	17	follow	follow	VERB
aijbe-50	119	18	each	each	DET
aijbe-50	119	19	year	year	NOUN
aijbe-50	119	20	[	[	X
aijbe-50	119	21	17	17	NUM
aijbe-50	119	22	]	]	PUNCT
aijbe-50	119	23	.	.	PUNCT
aijbe-50	120	1	to	to	PART
aijbe-50	120	2	capture	capture	VERB
aijbe-50	120	3	these	these	DET
aijbe-50	120	4	periodic	periodic	ADJ
aijbe-50	120	5	effects	effect	NOUN
aijbe-50	120	6	,	,	PUNCT
aijbe-50	120	7	the	the	DET
aijbe-50	120	8	fourier	fourier	NOUN
aijbe-50	120	9	model	model	NOUN
aijbe-50	120	10	is	be	AUX
aijbe-50	120	11	used	use	VERB
aijbe-50	120	12	.	.	PUNCT
aijbe-50	121	1	here	here	ADV
aijbe-50	121	2	p	p	X
aijbe-50	121	3	is	be	AUX
aijbe-50	121	4	the	the	DET
aijbe-50	121	5	periodic	periodic	ADJ
aijbe-50	121	6	term	term	NOUN
aijbe-50	121	7	the	the	DET
aijbe-50	121	8	time	time	NOUN
aijbe-50	121	9	series	series	NOUN
aijbe-50	121	10	is	be	AUX
aijbe-50	121	11	expected	expect	VERB
aijbe-50	121	12	to	to	PART
aijbe-50	121	13	have	have	VERB
aijbe-50	121	14	regularly	regularly	ADV
aijbe-50	121	15	.	.	PUNCT
aijbe-50	122	1	ℎ(𝑡	ℎ(𝑡	PROPN
aijbe-50	122	2	�	�	PROPN
aijbe-50	122	3	)	)	PUNCT
aijbe-50	122	4	=	=	SYM
aijbe-50	122	5	𝑍	𝑍	PROPN
aijbe-50	122	6	�	�	PROPN
aijbe-50	122	7	(𝑡	(𝑡	SYM
aijbe-50	122	8	�	�	PROPN
aijbe-50	122	9	)𝜅	)𝜅	PROPN
aijbe-50	122	10	�	�	PROPN
aijbe-50	122	11	(	(	PUNCT
aijbe-50	122	12	4	4	NUM
aijbe-50	122	13	)	)	PUNCT
aijbe-50	122	14	𝑍	𝑍	PROPN
aijbe-50	122	15	�	�	PROPN
aijbe-50	122	16	(𝑡	(𝑡	SYM
aijbe-50	122	17	�	�	PROPN
aijbe-50	122	18	)	)	PUNCT
aijbe-50	122	19	=	=	PUNCT
aijbe-50	123	1	[	[	X
aijbe-50	123	2	𝑖	𝑖	NUM
aijbe-50	123	3	�	�	PROPN
aijbe-50	123	4	(𝑡	(𝑡	PROPN
aijbe-50	123	5	�	�	PROPN
aijbe-50	123	6	∈	∈	PROPN
aijbe-50	123	7	𝐷	𝐷	PROPN
aijbe-50	123	8	�	�	PROPN
aijbe-50	123	9	𝑖	𝑖	SYM
aijbe-50	123	10	�	�	PROPN
aijbe-50	123	11	)	)	PUNCT
aijbe-50	123	12	,	,	PUNCT
aijbe-50	123	13	…	…	PUNCT
aijbe-50	123	14	,	,	PUNCT
aijbe-50	123	15	𝑖	𝑖	SYM
aijbe-50	123	16	�	�	PROPN
aijbe-50	123	17	(𝑡	(𝑡	PROPN
aijbe-50	123	18	�	�	PROPN
aijbe-50	123	19	∈	∈	PROPN
aijbe-50	123	20	𝐷	𝐷	PROPN
aijbe-50	123	21	�	�	PROPN
aijbe-50	123	22	𝑖	𝑖	SYM
aijbe-50	123	23	�	�	PROPN
aijbe-50	123	24	)	)	PUNCT
aijbe-50	123	25	]	]	PUNCT
aijbe-50	124	1	(	(	PUNCT
aijbe-50	124	2	5	5	X
aijbe-50	124	3	)	)	PUNCT
aijbe-50	124	4	new	new	ADJ
aijbe-50	124	5	year	year	NOUN
aijbe-50	124	6	holidays	holiday	NOUN
aijbe-50	124	7	,	,	PUNCT
aijbe-50	124	8	religious	religious	ADJ
aijbe-50	124	9	holidays	holiday	NOUN
aijbe-50	124	10	or	or	CCONJ
aijbe-50	124	11	events	event	NOUN
aijbe-50	124	12	that	that	PRON
aijbe-50	124	13	may	may	AUX
aijbe-50	124	14	have	have	VERB
aijbe-50	124	15	a	a	DET
aijbe-50	124	16	country	country	NOUN
aijbe-50	124	17	-	-	PUNCT
aijbe-50	124	18	wide	wide	ADJ
aijbe-50	124	19	impact	impact	NOUN
aijbe-50	124	20	are	be	AUX
aijbe-50	124	21	predictable	predictable	ADJ
aijbe-50	124	22	shocks	shock	NOUN
aijbe-50	124	23	for	for	ADP
aijbe-50	124	24	time	time	NOUN
aijbe-50	124	25	series	series	NOUN
aijbe-50	124	26	models	model	NOUN
aijbe-50	124	27	.	.	PUNCT
aijbe-50	125	1	for	for	ADP
aijbe-50	125	2	this	this	DET
aijbe-50	125	3	reason	reason	NOUN
aijbe-50	125	4	,	,	PUNCT
aijbe-50	125	5	the	the	DET
aijbe-50	125	6	impact	impact	NOUN
aijbe-50	125	7	of	of	ADP
aijbe-50	125	8	such	such	ADJ
aijbe-50	125	9	holidays	holiday	NOUN
aijbe-50	125	10	on	on	ADP
aijbe-50	125	11	the	the	DET
aijbe-50	125	12	model	model	NOUN
aijbe-50	125	13	is	be	AUX
aijbe-50	125	14	included	include	VERB
aijbe-50	125	15	daily	daily	ADV
aijbe-50	125	16	.	.	PUNCT
aijbe-50	126	1	𝐷	𝐷	NOUN
aijbe-50	126	2	�	�	PROPN
aijbe-50	126	3	𝑖	𝑖	SYM
aijbe-50	126	4	�	�	PROPN
aijbe-50	126	5	is	be	AUX
aijbe-50	126	6	defined	define	VERB
aijbe-50	126	7	for	for	ADP
aijbe-50	126	8	each	each	DET
aijbe-50	126	9	holiday	holiday	NOUN
aijbe-50	126	10	𝑖	𝑖	SYM
aijbe-50	126	11	�	�	PROPN
aijbe-50	126	12	in	in	ADP
aijbe-50	126	13	the	the	DET
aijbe-50	126	14	model	model	NOUN
aijbe-50	126	15	.	.	PUNCT
aijbe-50	127	1	therefore	therefore	ADV
aijbe-50	127	2	,	,	PUNCT
aijbe-50	127	3	that	that	DET
aijbe-50	127	4	time	time	NOUN
aijbe-50	127	5	series	series	PROPN
aijbe-50	127	6	interval	interval	NOUN
aijbe-50	127	7	represents	represent	VERB
aijbe-50	127	8	the	the	DET
aijbe-50	127	9	presence	presence	NOUN
aijbe-50	127	10	of	of	ADP
aijbe-50	127	11	that	that	DET
aijbe-50	127	12	holiday	holiday	NOUN
aijbe-50	127	13	if	if	SCONJ
aijbe-50	127	14	it	it	PRON
aijbe-50	127	15	coincides	coincide	VERB
aijbe-50	127	16	with	with	ADP
aijbe-50	127	17	that	that	DET
aijbe-50	127	18	period	period	NOUN
aijbe-50	127	19	.	.	PUNCT
aijbe-50	128	1	the	the	DET
aijbe-50	128	2	𝜅	𝜅	PROPN
aijbe-50	128	3	�	�	PROPN
aijbe-50	128	4	parameter	parameter	NOUN
aijbe-50	128	5	is	be	AUX
aijbe-50	128	6	defined	define	VERB
aijbe-50	128	7	as	as	ADP
aijbe-50	128	8	the	the	DET
aijbe-50	128	9	corresponding	correspond	VERB
aijbe-50	128	10	change	change	NOUN
aijbe-50	128	11	parameter	parameter	NOUN
aijbe-50	128	12	in	in	ADP
aijbe-50	128	13	the	the	DET
aijbe-50	128	14	forecast	forecast	NOUN
aijbe-50	128	15	if	if	SCONJ
aijbe-50	128	16	the	the	DET
aijbe-50	128	17	day	day	NOUN
aijbe-50	128	18	of	of	ADP
aijbe-50	128	19	that	that	DET
aijbe-50	128	20	holiday	holiday	NOUN
aijbe-50	128	21	changes	change	NOUN
aijbe-50	128	22	in	in	ADP
aijbe-50	128	23	the	the	DET
aijbe-50	128	24	time	time	NOUN
aijbe-50	128	25	series	series	NOUN
aijbe-50	128	26	.	.	PUNCT
aijbe-50	129	1	since	since	SCONJ
aijbe-50	129	2	the	the	DET
aijbe-50	129	3	prophet	prophet	NOUN
aijbe-50	129	4	model	model	NOUN
aijbe-50	129	5	includes	include	VERB
aijbe-50	129	6	both	both	CCONJ
aijbe-50	129	7	logistic	logistic	ADJ
aijbe-50	129	8	and	and	CCONJ
aijbe-50	129	9	fourier	fourier	NOUN
aijbe-50	129	10	,	,	PUNCT
aijbe-50	129	11	it	it	PRON
aijbe-50	129	12	captures	capture	VERB
aijbe-50	129	13	periodic	periodic	ADJ
aijbe-50	129	14	waves	wave	NOUN
aijbe-50	129	15	in	in	ADP
aijbe-50	129	16	the	the	DET
aijbe-50	129	17	observations	observation	NOUN
aijbe-50	129	18	more	more	ADV
aijbe-50	129	19	efficiently	efficiently	ADV
aijbe-50	129	20	,	,	PUNCT
aijbe-50	129	21	allowing	allow	VERB
aijbe-50	129	22	for	for	ADP
aijbe-50	129	23	relatively	relatively	ADV
aijbe-50	129	24	better	well	ADJ
aijbe-50	129	25	predictions	prediction	NOUN
aijbe-50	129	26	with	with	ADP
aijbe-50	129	27	outliers	outlier	NOUN
aijbe-50	129	28	in	in	ADP
aijbe-50	129	29	the	the	DET
aijbe-50	129	30	data	datum	NOUN
aijbe-50	129	31	.	.	PUNCT
aijbe-50	130	1	it	it	PRON
aijbe-50	130	2	works	work	VERB
aijbe-50	130	3	best	well	ADV
aijbe-50	130	4	with	with	ADP
aijbe-50	130	5	time	time	NOUN
aijbe-50	130	6	series	series	NOUN
aijbe-50	130	7	that	that	PRON
aijbe-50	130	8	have	have	VERB
aijbe-50	130	9	strong	strong	ADJ
aijbe-50	130	10	seasonal	seasonal	ADJ
aijbe-50	130	11	effects	effect	NOUN
aijbe-50	130	12	and	and	CCONJ
aijbe-50	130	13	several	several	ADJ
aijbe-50	130	14	seasons	season	NOUN
aijbe-50	130	15	of	of	ADP
aijbe-50	130	16	historical	historical	ADJ
aijbe-50	130	17	data	datum	NOUN
aijbe-50	130	18	.	.	PUNCT
aijbe-50	131	1	prophet	prophet	NOUN
aijbe-50	131	2	is	be	AUX
aijbe-50	131	3	robust	robust	ADJ
aijbe-50	131	4	to	to	ADP
aijbe-50	131	5	missing	miss	VERB
aijbe-50	131	6	data	datum	NOUN
aijbe-50	131	7	and	and	CCONJ
aijbe-50	131	8	shifts	shift	NOUN
aijbe-50	131	9	in	in	ADP
aijbe-50	131	10	the	the	DET
aijbe-50	131	11	trend	trend	NOUN
aijbe-50	131	12	,	,	PUNCT
aijbe-50	131	13	and	and	CCONJ
aijbe-50	131	14	typically	typically	ADV
aijbe-50	131	15	handles	handle	VERB
aijbe-50	131	16	outliers	outlier	NOUN
aijbe-50	131	17	well	well	ADV
aijbe-50	131	18	[	[	X
aijbe-50	131	19	13	13	NUM
aijbe-50	131	20	]	]	PUNCT
aijbe-50	131	21	.	.	PUNCT
aijbe-50	132	1	one	one	NUM
aijbe-50	132	2	of	of	ADP
aijbe-50	132	3	the	the	DET
aijbe-50	132	4	frequently	frequently	ADV
aijbe-50	132	5	used	use	VERB
aijbe-50	132	6	statistical	statistical	ADJ
aijbe-50	132	7	values	value	NOUN
aijbe-50	132	8	for	for	ADP
aijbe-50	132	9	comparing	compare	VERB
aijbe-50	132	10	the	the	DET
aijbe-50	132	11	performance	performance	NOUN
aijbe-50	132	12	of	of	ADP
aijbe-50	132	13	model	model	NOUN
aijbe-50	132	14	results	result	NOUN
aijbe-50	132	15	is	be	AUX
aijbe-50	132	16	the	the	DET
aijbe-50	132	17	root	root	NOUN
aijbe-50	132	18	mean	mean	ADJ
aijbe-50	132	19	square	square	ADJ
aijbe-50	132	20	error	error	NOUN
aijbe-50	132	21	(	(	PUNCT
aijbe-50	132	22	rmse	rmse	NOUN
aijbe-50	132	23	)	)	PUNCT
aijbe-50	132	24	.	.	PUNCT
aijbe-50	133	1	here	here	ADV
aijbe-50	133	2	,	,	PUNCT
aijbe-50	133	3	𝑦	𝑦	NOUN
aijbe-50	133	4	�	�	NOUN
aijbe-50	133	5	̂	̂	VERB
aijbe-50	133	6	is	be	AUX
aijbe-50	133	7	the	the	DET
aijbe-50	133	8	prediction	prediction	NOUN
aijbe-50	133	9	value	value	NOUN
aijbe-50	133	10	,	,	PUNCT
aijbe-50	133	11	𝑦	𝑦	NOUN
aijbe-50	133	12	�	�	PROPN
aijbe-50	133	13	is	be	AUX
aijbe-50	133	14	the	the	DET
aijbe-50	133	15	actual	actual	ADJ
aijbe-50	133	16	value	value	NOUN
aijbe-50	133	17	,	,	PUNCT
aijbe-50	133	18	and	and	CCONJ
aijbe-50	133	19	n	n	PRON
aijbe-50	133	20	is	be	AUX
aijbe-50	133	21	the	the	DET
aijbe-50	133	22	total	total	ADJ
aijbe-50	133	23	number	number	NOUN
aijbe-50	133	24	of	of	ADP
aijbe-50	133	25	observations	observation	NOUN
aijbe-50	133	26	.	.	PUNCT
aijbe-50	134	1	rmse	rmse	PROPN
aijbe-50	134	2	is	be	AUX
aijbe-50	134	3	calculated	calculate	VERB
aijbe-50	134	4	as	as	ADP
aijbe-50	134	5	the	the	DET
aijbe-50	134	6	square	square	ADJ
aijbe-50	134	7	root	root	NOUN
aijbe-50	134	8	of	of	ADP
aijbe-50	134	9	the	the	DET
aijbe-50	134	10	mean	mean	NOUN
aijbe-50	134	11	of	of	ADP
aijbe-50	134	12	the	the	DET
aijbe-50	134	13	squared	square	VERB
aijbe-50	134	14	differences	difference	NOUN
aijbe-50	134	15	between	between	ADP
aijbe-50	134	16	predicted	predict	VERB
aijbe-50	134	17	values	value	NOUN
aijbe-50	134	18	and	and	CCONJ
aijbe-50	134	19	actual	actual	ADJ
aijbe-50	134	20	values	value	NOUN
aijbe-50	134	21	.	.	PUNCT
aijbe-50	135	1	the	the	DET
aijbe-50	135	2	formula	formula	NOUN
aijbe-50	135	3	is	be	AUX
aijbe-50	135	4	as	as	SCONJ
aijbe-50	135	5	follows	follow	VERB
aijbe-50	135	6	:	:	PUNCT
aijbe-50	135	7	√∑	√∑	PROPN
aijbe-50	135	8	(	(	PUNCT
aijbe-50	135	9	𝑦	𝑦	NOUN
aijbe-50	135	10	�	�	NOUN
aijbe-50	135	11	̂−𝑦	̂−𝑦	NOUN
aijbe-50	135	12	�	�	PROPN
aijbe-50	135	13	)2	)2	PUNCT
aijbe-50	135	14	(	(	PUNCT
aijbe-50	135	15	6	6	NUM
aijbe-50	136	1	)	)	PUNCT
aijbe-50	136	2	𝑛	𝑛	PRON
aijbe-50	136	3	�	�	NOUN
aijbe-50	136	4	the	the	DET
aijbe-50	136	5	rmse	rmse	ADJ
aijbe-50	136	6	value	value	NOUN
aijbe-50	136	7	is	be	AUX
aijbe-50	136	8	expressed	express	VERB
aijbe-50	136	9	in	in	ADP
aijbe-50	136	10	the	the	DET
aijbe-50	136	11	same	same	ADJ
aijbe-50	136	12	units	unit	NOUN
aijbe-50	136	13	as	as	ADP
aijbe-50	136	14	the	the	DET
aijbe-50	136	15	original	original	ADJ
aijbe-50	136	16	data	datum	NOUN
aijbe-50	136	17	,	,	PUNCT
aijbe-50	136	18	so	so	SCONJ
aijbe-50	136	19	it	it	PRON
aijbe-50	136	20	can	can	AUX
aijbe-50	136	21	be	be	AUX
aijbe-50	136	22	directly	directly	ADV
aijbe-50	136	23	interpreted	interpret	VERB
aijbe-50	136	24	in	in	ADP
aijbe-50	136	25	terms	term	NOUN
aijbe-50	136	26	of	of	ADP
aijbe-50	136	27	the	the	DET
aijbe-50	136	28	problem	problem	NOUN
aijbe-50	136	29	being	be	AUX
aijbe-50	136	30	solved	solve	VERB
aijbe-50	136	31	.	.	PUNCT
aijbe-50	137	1	the	the	PRON
aijbe-50	137	2	smaller	small	ADJ
aijbe-50	137	3	the	the	DET
aijbe-50	137	4	rmse	rmse	NOUN
aijbe-50	137	5	value	value	NOUN
aijbe-50	137	6	,	,	PUNCT
aijbe-50	137	7	the	the	PRON
aijbe-50	137	8	better	well	ADJ
aijbe-50	137	9	the	the	DET
aijbe-50	137	10	model	model	NOUN
aijbe-50	137	11	is	be	AUX
aijbe-50	137	12	at	at	ADP
aijbe-50	137	13	predicting	predict	VERB
aijbe-50	137	14	the	the	DET
aijbe-50	137	15	actual	actual	ADJ
aijbe-50	137	16	values	value	NOUN
aijbe-50	137	17	.	.	PUNCT
aijbe-50	138	1	however	however	ADV
aijbe-50	138	2	,	,	PUNCT
aijbe-50	138	3	it	it	PRON
aijbe-50	138	4	should	should	AUX
aijbe-50	138	5	be	be	AUX
aijbe-50	138	6	noted	note	VERB
aijbe-50	138	7	that	that	SCONJ
aijbe-50	138	8	comparing	compare	VERB
aijbe-50	138	9	rmse	rmse	ADJ
aijbe-50	138	10	values	value	NOUN
aijbe-50	138	11	between	between	ADP
aijbe-50	138	12	different	different	ADJ
aijbe-50	138	13	datasets	dataset	NOUN
aijbe-50	138	14	or	or	CCONJ
aijbe-50	138	15	problems	problem	NOUN
aijbe-50	138	16	can	can	AUX
aijbe-50	138	17	be	be	AUX
aijbe-50	138	18	misleading	misleading	ADJ
aijbe-50	138	19	as	as	ADP
aijbe-50	138	20	the	the	DET
aijbe-50	138	21	scale	scale	NOUN
aijbe-50	138	22	of	of	ADP
aijbe-50	138	23	the	the	DET
aijbe-50	138	24	data	datum	NOUN
aijbe-50	138	25	and	and	CCONJ
aijbe-50	138	26	the	the	DET
aijbe-50	138	27	specific	specific	ADJ
aijbe-50	138	28	problem	problem	NOUN
aijbe-50	138	29	objectives	objective	NOUN
aijbe-50	138	30	can	can	AUX
aijbe-50	138	31	be	be	AUX
aijbe-50	138	32	different	different	ADJ
aijbe-50	138	33	.	.	PUNCT
aijbe-50	139	1	3	3	X
aijbe-50	139	2	.	.	X
aijbe-50	139	3	empirical	empirical	ADJ
aijbe-50	139	4	findings	finding	NOUN
aijbe-50	139	5	in	in	ADP
aijbe-50	139	6	the	the	DET
aijbe-50	139	7	study	study	NOUN
aijbe-50	139	8	,	,	PUNCT
aijbe-50	139	9	the	the	DET
aijbe-50	139	10	daily	daily	ADJ
aijbe-50	139	11	number	number	NOUN
aijbe-50	139	12	of	of	ADP
aijbe-50	139	13	covid-19	covid-19	PROPN
aijbe-50	139	14	cumulative	cumulative	ADJ
aijbe-50	139	15	cases	case	NOUN
aijbe-50	139	16	for	for	ADP
aijbe-50	139	17	g7	g7	PROPN
aijbe-50	139	18	countries	country	NOUN
aijbe-50	139	19	was	be	AUX
aijbe-50	139	20	obtained	obtain	VERB
aijbe-50	139	21	from	from	ADP
aijbe-50	139	22	our	our	PRON
aijbe-50	139	23	world	world	NOUN
aijbe-50	139	24	in	in	ADP
aijbe-50	139	25	data	datum	NOUN
aijbe-50	139	26	for	for	ADP
aijbe-50	139	27	180	180	NUM
aijbe-50	139	28	days	day	NOUN
aijbe-50	139	29	,	,	PUNCT
aijbe-50	139	30	starting	start	VERB
aijbe-50	139	31	with	with	ADP
aijbe-50	139	32	the	the	DET
aijbe-50	139	33	day	day	NOUN
aijbe-50	139	34	of	of	ADP
aijbe-50	139	35	the	the	DET
aijbe-50	139	36	first	first	ADJ
aijbe-50	139	37	occurrence	occurrence	NOUN
aijbe-50	139	38	.	.	PUNCT
aijbe-50	140	1	the	the	DET
aijbe-50	140	2	date	date	NOUN
aijbe-50	140	3	range	range	VERB
aijbe-50	140	4	for	for	ADP
aijbe-50	140	5	each	each	DET
aijbe-50	140	6	country	country	NOUN
aijbe-50	140	7	varies	vary	VERB
aijbe-50	140	8	according	accord	VERB
aijbe-50	140	9	to	to	ADP
aijbe-50	140	10	the	the	DET
aijbe-50	140	11	day	day	NOUN
aijbe-50	140	12	the	the	DET
aijbe-50	140	13	case	case	NOUN
aijbe-50	140	14	first	first	ADV
aijbe-50	140	15	started	start	VERB
aijbe-50	140	16	.	.	PUNCT
aijbe-50	141	1	in	in	ADP
aijbe-50	141	2	the	the	DET
aijbe-50	141	3	prediction	prediction	NOUN
aijbe-50	141	4	analyses	analysis	NOUN
aijbe-50	141	5	for	for	ADP
aijbe-50	141	6	each	each	DET
aijbe-50	141	7	country	country	NOUN
aijbe-50	141	8	,	,	PUNCT
aijbe-50	141	9	the	the	DET
aijbe-50	141	10	forecasted	forecast	VERB
aijbe-50	141	11	first	first	ADJ
aijbe-50	141	12	day	day	NOUN
aijbe-50	141	13	is	be	AUX
aijbe-50	141	14	the	the	DET
aijbe-50	141	15	prediction	prediction	NOUN
aijbe-50	141	16	for	for	ADP
aijbe-50	141	17	the	the	DET
aijbe-50	141	18	181st	181st	ADJ
aijbe-50	141	19	day	day	NOUN
aijbe-50	141	20	,	,	PUNCT
aijbe-50	141	21	the	the	DET
aijbe-50	141	22	forecasted	forecast	VERB
aijbe-50	141	23	second	second	ADJ
aijbe-50	141	24	day	day	NOUN
aijbe-50	141	25	is	be	AUX
aijbe-50	141	26	the	the	DET
aijbe-50	141	27	prediction	prediction	NOUN
aijbe-50	141	28	for	for	ADP
aijbe-50	141	29	the	the	DET
aijbe-50	141	30	182nd	182nd	PROPN
aijbe-50	141	31	day	day	NOUN
aijbe-50	141	32	,	,	PUNCT
aijbe-50	141	33	the	the	DET
aijbe-50	141	34	forecasted	forecast	VERB
aijbe-50	141	35	third	third	ADJ
aijbe-50	141	36	day	day	NOUN
aijbe-50	141	37	is	be	AUX
aijbe-50	141	38	the	the	DET
aijbe-50	141	39	prediction	prediction	NOUN
aijbe-50	141	40	for	for	ADP
aijbe-50	141	41	the	the	DET
aijbe-50	141	42	183rd	183rd	ADJ
aijbe-50	141	43	day	day	NOUN
aijbe-50	141	44	,	,	PUNCT
aijbe-50	141	45	the	the	DET
aijbe-50	141	46	forecasted	forecast	VERB
aijbe-50	141	47	fourth	fourth	ADJ
aijbe-50	141	48	day	day	NOUN
aijbe-50	141	49	is	be	AUX
aijbe-50	141	50	the	the	DET
aijbe-50	141	51	prediction	prediction	NOUN
aijbe-50	141	52	for	for	ADP
aijbe-50	141	53	the	the	DET
aijbe-50	141	54	184th	184th	ADJ
aijbe-50	141	55	day	day	NOUN
aijbe-50	141	56	,	,	PUNCT
aijbe-50	141	57	and	and	CCONJ
aijbe-50	141	58	the	the	DET
aijbe-50	141	59	forecasted	forecast	VERB
aijbe-50	141	60	fifth	fifth	ADJ
aijbe-50	141	61	day	day	NOUN
aijbe-50	141	62	is	be	AUX
aijbe-50	141	63	the	the	DET
aijbe-50	141	64	prediction	prediction	NOUN
aijbe-50	141	65	for	for	ADP
aijbe-50	141	66	the	the	DET
aijbe-50	141	67	185th	185th	ADJ
aijbe-50	141	68	day	day	NOUN
aijbe-50	141	69	.	.	PUNCT
aijbe-50	142	1	table	table	NOUN
aijbe-50	142	2	1	1	NUM
aijbe-50	142	3	.	.	PUNCT
aijbe-50	142	4	forecast	forecast	NOUN
aijbe-50	142	5	and	and	CCONJ
aijbe-50	142	6	actual	actual	ADJ
aijbe-50	142	7	values	value	NOUN
aijbe-50	142	8	1st	1st	ADJ
aijbe-50	142	9	day	day	NOUN
aijbe-50	142	10	2nd	2nd	ADJ
aijbe-50	142	11	day	day	NOUN
aijbe-50	142	12	3rd	3rd	ADJ
aijbe-50	142	13	day	day	NOUN
aijbe-50	142	14	4th	4th	ADJ
aijbe-50	142	15	day	day	NOUN
aijbe-50	142	16	5th	5th	ADJ
aijbe-50	142	17	day	day	NOUN
aijbe-50	142	18	(	(	PUNCT
aijbe-50	142	19	𝑡	𝑡	PROPN
aijbe-50	142	20	)	)	PUNCT
aijbe-50	142	21	=	=	SYM
aijbe-50	142	22	�	�	PROPN
aijbe-50	142	23	∑	∑	PUNCT
aijbe-50	142	24	𝑎	𝑎	PROPN
aijbe-50	142	25	𝑛	𝑛	PRON
aijbe-50	142	26	�	�	PROPN
aijbe-50	142	27	cos	cos	PROPN
aijbe-50	142	28	2	2	NUM
aijbe-50	142	29	𝑛	𝑛	PROPN
aijbe-50	142	30	�	�	PROPN
aijbe-50	142	31	𝜋	𝜋	NOUN
aijbe-50	142	32	�	�	PROPN
aijbe-50	142	33	𝑡	𝑡	NOUN
aijbe-50	142	34	�	�	NOUN
aijbe-50	142	35	+	+	CCONJ
aijbe-50	142	36	𝑏	𝑏	PROPN
aijbe-50	142	37	𝑛	𝑛	PROPN
aijbe-50	142	38	�	�	PROPN
aijbe-50	142	39	sin	sin	VERB
aijbe-50	142	40	2	2	NUM
aijbe-50	142	41	∞	∞	NUM
aijbe-50	142	42	𝑛	𝑛	PROPN
aijbe-50	142	43	�	�	NOUN
aijbe-50	142	44	=	=	SYM
aijbe-50	142	45	1	1	NUM
aijbe-50	142	46	yeliz	yeliz	NOUN
aijbe-50	142	47	zoğal	zoğal	NOUN
aijbe-50	142	48	(	(	PUNCT
aijbe-50	142	49	2022	2022	NUM
aijbe-50	142	50	)	)	PUNCT
aijbe-50	142	51	13	13	NUM
aijbe-50	142	52	american	american	ADJ
aijbe-50	142	53	interdisciplinary	interdisciplinary	ADJ
aijbe-50	142	54	journal	journal	NOUN
aijbe-50	142	55	of	of	ADP
aijbe-50	142	56	business	business	NOUN
aijbe-50	142	57	and	and	CCONJ
aijbe-50	142	58	economics	economic	NOUN
aijbe-50	143	1	|	|	ADV
aijbe-50	143	2	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	ADJ
aijbe-50	143	3	𝑦	𝑦	NOUN
aijbe-50	143	4	�	�	X
aijbe-50	143	5	̂	̂	PUNCT
aijbe-50	143	6	(	(	PUNCT
aijbe-50	143	7	forecasted	forecast	VERB
aijbe-50	143	8	)	)	PUNCT
aijbe-50	143	9	112,220	112,220	NUM
aijbe-50	143	10	112,754	112,754	NUM
aijbe-50	143	11	113,281	113,281	NUM
aijbe-50	143	12	113,779	113,779	NUM
aijbe-50	143	13	114,163	114,163	NUM
aijbe-50	143	14	canada	canada	PROPN
aijbe-50	143	15	𝑦	𝑦	PROPN
aijbe-50	143	16	�	�	PROPN
aijbe-50	143	17	(	(	PUNCT
aijbe-50	143	18	actual	actual	ADJ
aijbe-50	143	19	)	)	PUNCT
aijbe-50	143	20	112,281	112,281	NUM
aijbe-50	143	21	112,663	112,663	NUM
aijbe-50	143	22	113,399	113,399	NUM
aijbe-50	143	23	113,836	113,836	NUM
aijbe-50	143	24	114,172	114,172	NUM
aijbe-50	143	25	rmse	rmse	NOUN
aijbe-50	143	26	𝑦	𝑦	X
aijbe-50	143	27	�	�	PROPN
aijbe-50	143	28	̂	̂	PUNCT
aijbe-50	143	29	(	(	PUNCT
aijbe-50	143	30	forecasted	forecast	VERB
aijbe-50	143	31	)	)	PUNCT
aijbe-50	143	32	france	france	PROPN
aijbe-50	143	33	𝑦	𝑦	PROPN
aijbe-50	143	34	�	�	PROPN
aijbe-50	143	35	(	(	PUNCT
aijbe-50	143	36	actual	actual	ADJ
aijbe-50	143	37	)	)	PUNCT
aijbe-50	143	38	217,517	217,517	NUM
aijbe-50	143	39	218,753	218,753	NUM
aijbe-50	143	40	219,844	219,844	NUM
aijbe-50	143	41	219,928	219,928	NUM
aijbe-50	143	42	219,932	219,932	NUM
aijbe-50	143	43	rmse	rmse	NOUN
aijbe-50	143	44	𝑦	𝑦	X
aijbe-50	143	45	�	�	PROPN
aijbe-50	143	46	̂	̂	PUNCT
aijbe-50	143	47	(	(	PUNCT
aijbe-50	143	48	forecasted	forecast	VERB
aijbe-50	143	49	)	)	PUNCT
aijbe-50	143	50	germany	germany	PROPN
aijbe-50	143	51	𝑦	𝑦	PROPN
aijbe-50	143	52	�	�	PROPN
aijbe-50	143	53	(	(	PUNCT
aijbe-50	143	54	actual	actual	ADJ
aijbe-50	143	55	)	)	PUNCT
aijbe-50	143	56	204,964	204,964	NUM
aijbe-50	143	57	205,269	205,269	NUM
aijbe-50	143	58	205,609	205,609	NUM
aijbe-50	143	59	206,242	206,242	NUM
aijbe-50	143	60	206,926	206,926	NUM
aijbe-50	143	61	rmse	rmse	NOUN
aijbe-50	143	62	𝑦	𝑦	X
aijbe-50	143	63	�	�	PROPN
aijbe-50	143	64	̂	̂	PUNCT
aijbe-50	143	65	(	(	PUNCT
aijbe-50	143	66	forecasted	forecast	VERB
aijbe-50	143	67	)	)	PUNCT
aijbe-50	143	68	italy	italy	PROPN
aijbe-50	143	69	𝑦	𝑦	PROPN
aijbe-50	143	70	�	�	PROPN
aijbe-50	143	71	(	(	PUNCT
aijbe-50	143	72	actual	actual	ADJ
aijbe-50	143	73	)	)	PUNCT
aijbe-50	143	74	246,776	246,776	NUM
aijbe-50	143	75	247,158	247,158	NUM
aijbe-50	143	76	247,537	247,537	NUM
aijbe-50	143	77	247,832	247,832	NUM
aijbe-50	143	78	248,070	248,070	NUM
aijbe-50	143	79	rmse	rmse	PROPN
aijbe-50	143	80	𝑦	𝑦	X
aijbe-50	143	81	�	�	PROPN
aijbe-50	143	82	̂	̂	PUNCT
aijbe-50	143	83	(	(	PUNCT
aijbe-50	143	84	forecasted	forecast	VERB
aijbe-50	143	85	)	)	PUNCT
aijbe-50	143	86	𝑦	𝑦	PROPN
aijbe-50	143	87	�	�	PROPN
aijbe-50	143	88	(	(	PUNCT
aijbe-50	143	89	actual	actual	ADJ
aijbe-50	143	90	)	)	PUNCT
aijbe-50	143	91	25,680	25,680	NUM
aijbe-50	143	92	26,312	26,312	NUM
aijbe-50	143	93	27,107	27,107	NUM
aijbe-50	143	94	28,088	28,088	NUM
aijbe-50	143	95	28,867	28,867	NUM
aijbe-50	143	96	rmse	rmse	NOUN
aijbe-50	143	97	𝑦	𝑦	X
aijbe-50	143	98	�	�	PROPN
aijbe-50	143	99	̂	̂	PUNCT
aijbe-50	143	100	(	(	PUNCT
aijbe-50	143	101	forecasted	forecast	VERB
aijbe-50	143	102	)	)	PUNCT
aijbe-50	143	103	usa	usa	PROPN
aijbe-50	143	104	𝑦	𝑦	PROPN
aijbe-50	143	105	�	�	PROPN
aijbe-50	143	106	(	(	PUNCT
aijbe-50	143	107	actual	actual	ADJ
aijbe-50	143	108	)	)	PUNCT
aijbe-50	143	109	3,828,431	3,828,431	NUM
aijbe-50	143	110	3,896,716	3,896,716	NUM
aijbe-50	143	111	3,964,163	3,964,163	NUM
aijbe-50	143	112	4,031,940	4,031,940	NUM
aijbe-50	143	113	4,106,884	4,106,884	NUM
aijbe-50	143	114	rmse	rmse	NOUN
aijbe-50	143	115	445.20	445.20	NUM
aijbe-50	143	116	40.55	40.55	NUM
aijbe-50	143	117	458.62	458.62	NUM
aijbe-50	143	118	1,103.05	1,103.05	NUM
aijbe-50	143	119	2,528.40	2,528.40	NUM
aijbe-50	143	120	for	for	ADP
aijbe-50	143	121	g7	g7	PROPN
aijbe-50	143	122	countries	country	NOUN
aijbe-50	143	123	,	,	PUNCT
aijbe-50	143	124	the	the	DET
aijbe-50	143	125	predictions	prediction	NOUN
aijbe-50	143	126	of	of	ADP
aijbe-50	143	127	the	the	DET
aijbe-50	143	128	number	number	NOUN
aijbe-50	143	129	of	of	ADP
aijbe-50	143	130	cumulative	cumulative	ADJ
aijbe-50	143	131	cases	case	NOUN
aijbe-50	143	132	for	for	ADP
aijbe-50	143	133	the	the	DET
aijbe-50	143	134	181st	181st	ADJ
aijbe-50	143	135	,	,	PUNCT
aijbe-50	143	136	182nd	182nd	PROPN
aijbe-50	143	137	,	,	PUNCT
aijbe-50	143	138	183rd	183rd	NOUN
aijbe-50	143	139	,	,	PUNCT
aijbe-50	143	140	184th	184th	ADJ
aijbe-50	143	141	,	,	PUNCT
aijbe-50	143	142	and	and	CCONJ
aijbe-50	143	143	185th	185th	ADJ
aijbe-50	143	144	day	day	NOUN
aijbe-50	143	145	,	,	PUNCT
aijbe-50	143	146	the	the	DET
aijbe-50	143	147	actual	actual	ADJ
aijbe-50	143	148	number	number	NOUN
aijbe-50	143	149	of	of	ADP
aijbe-50	143	150	cumulative	cumulative	ADJ
aijbe-50	143	151	cases	case	NOUN
aijbe-50	143	152	of	of	ADP
aijbe-50	143	153	these	these	DET
aijbe-50	143	154	days	day	NOUN
aijbe-50	143	155	,	,	PUNCT
aijbe-50	143	156	and	and	CCONJ
aijbe-50	143	157	rmses	rmse	VERB
aijbe-50	143	158	for	for	ADP
aijbe-50	143	159	each	each	DET
aijbe-50	143	160	day	day	NOUN
aijbe-50	143	161	are	be	AUX
aijbe-50	143	162	reported	report	VERB
aijbe-50	143	163	in	in	ADP
aijbe-50	143	164	table	table	NOUN
aijbe-50	143	165	1	1	NUM
aijbe-50	143	166	.	.	PUNCT
aijbe-50	144	1	for	for	ADP
aijbe-50	144	2	france	france	PROPN
aijbe-50	144	3	,	,	PUNCT
aijbe-50	144	4	germany	germany	PROPN
aijbe-50	144	5	,	,	PUNCT
aijbe-50	144	6	italy	italy	PROPN
aijbe-50	144	7	,	,	PUNCT
aijbe-50	144	8	and	and	CCONJ
aijbe-50	144	9	the	the	DET
aijbe-50	144	10	uk	uk	PROPN
aijbe-50	144	11	,	,	PUNCT
aijbe-50	144	12	the	the	DET
aijbe-50	144	13	rmse	rmse	NOUN
aijbe-50	144	14	increases	increase	VERB
aijbe-50	144	15	with	with	ADP
aijbe-50	144	16	distance	distance	NOUN
aijbe-50	144	17	from	from	ADP
aijbe-50	144	18	the	the	DET
aijbe-50	144	19	period	period	NOUN
aijbe-50	144	20	used	use	VERB
aijbe-50	144	21	for	for	ADP
aijbe-50	144	22	the	the	DET
aijbe-50	144	23	prediction	prediction	NOUN
aijbe-50	144	24	between	between	ADP
aijbe-50	144	25	day	day	NOUN
aijbe-50	144	26	one	one	NUM
aijbe-50	144	27	and	and	CCONJ
aijbe-50	144	28	day	day	NOUN
aijbe-50	144	29	five	five	NUM
aijbe-50	144	30	,	,	PUNCT
aijbe-50	144	31	while	while	SCONJ
aijbe-50	144	32	for	for	ADP
aijbe-50	144	33	canada	canada	PROPN
aijbe-50	144	34	,	,	PUNCT
aijbe-50	144	35	japan	japan	PROPN
aijbe-50	144	36	,	,	PUNCT
aijbe-50	144	37	and	and	CCONJ
aijbe-50	144	38	the	the	DET
aijbe-50	144	39	usa	usa	PROPN
aijbe-50	144	40	,	,	PUNCT
aijbe-50	144	41	the	the	DET
aijbe-50	144	42	rmse	rmse	NOUN
aijbe-50	144	43	varies	vary	VERB
aijbe-50	144	44	.	.	PUNCT
aijbe-50	145	1	when	when	SCONJ
aijbe-50	145	2	analyzed	analyze	VERB
aijbe-50	145	3	in	in	ADP
aijbe-50	145	4	detail	detail	NOUN
aijbe-50	145	5	,	,	PUNCT
aijbe-50	145	6	the	the	DET
aijbe-50	145	7	estimated	estimate	VERB
aijbe-50	145	8	number	number	NOUN
aijbe-50	145	9	of	of	ADP
aijbe-50	145	10	coincidences	coincidence	NOUN
aijbe-50	145	11	for	for	ADP
aijbe-50	145	12	canada	canada	PROPN
aijbe-50	145	13	for	for	ADP
aijbe-50	145	14	the	the	DET
aijbe-50	145	15	five	five	NUM
aijbe-50	145	16	days	day	NOUN
aijbe-50	145	17	ranged	range	VERB
aijbe-50	145	18	from	from	ADP
aijbe-50	145	19	112,200	112,200	NUM
aijbe-50	145	20	to	to	ADP
aijbe-50	145	21	114,163	114,163	NUM
aijbe-50	145	22	.	.	PUNCT
aijbe-50	146	1	the	the	DET
aijbe-50	146	2	actual	actual	ADJ
aijbe-50	146	3	number	number	NOUN
aijbe-50	146	4	of	of	ADP
aijbe-50	146	5	cases	case	NOUN
aijbe-50	146	6	during	during	ADP
aijbe-50	146	7	this	this	DET
aijbe-50	146	8	period	period	NOUN
aijbe-50	146	9	ranges	range	VERB
aijbe-50	146	10	from	from	ADP
aijbe-50	146	11	112,281	112,281	NUM
aijbe-50	146	12	to	to	ADP
aijbe-50	146	13	114,172	114,172	NUM
aijbe-50	146	14	.	.	PUNCT
aijbe-50	147	1	the	the	DET
aijbe-50	147	2	lowest	low	ADJ
aijbe-50	147	3	rmse	rmse	NOUN
aijbe-50	147	4	value	value	NOUN
aijbe-50	147	5	for	for	ADP
aijbe-50	147	6	canada	canada	PROPN
aijbe-50	147	7	was	be	AUX
aijbe-50	147	8	obtained	obtain	VERB
aijbe-50	147	9	on	on	ADP
aijbe-50	147	10	the	the	DET
aijbe-50	147	11	fifth	fifth	ADJ
aijbe-50	147	12	day	day	NOUN
aijbe-50	147	13	.	.	PUNCT
aijbe-50	148	1	for	for	ADP
aijbe-50	148	2	france	france	PROPN
aijbe-50	148	3	,	,	PUNCT
aijbe-50	148	4	predicted	predict	VERB
aijbe-50	148	5	values	value	NOUN
aijbe-50	148	6	ranged	range	VERB
aijbe-50	148	7	from	from	ADP
aijbe-50	148	8	222,122	222,122	NUM
aijbe-50	148	9	to	to	ADP
aijbe-50	148	10	232,624	232,624	NUM
aijbe-50	148	11	,	,	PUNCT
aijbe-50	148	12	and	and	CCONJ
aijbe-50	148	13	actual	actual	ADJ
aijbe-50	148	14	values	value	NOUN
aijbe-50	148	15	ranged	range	VERB
aijbe-50	148	16	from	from	ADP
aijbe-50	148	17	217,517	217,517	NUM
aijbe-50	148	18	to	to	ADP
aijbe-50	148	19	219,932	219,932	NUM
aijbe-50	148	20	.	.	PUNCT
aijbe-50	149	1	the	the	DET
aijbe-50	149	2	lowest	low	ADJ
aijbe-50	149	3	rmse	rmse	NOUN
aijbe-50	149	4	value	value	NOUN
aijbe-50	149	5	for	for	ADP
aijbe-50	149	6	france	france	PROPN
aijbe-50	149	7	was	be	AUX
aijbe-50	149	8	obtained	obtain	VERB
aijbe-50	149	9	on	on	ADP
aijbe-50	149	10	the	the	DET
aijbe-50	149	11	first	first	ADJ
aijbe-50	149	12	day	day	NOUN
aijbe-50	149	13	and	and	CCONJ
aijbe-50	149	14	increased	increase	VERB
aijbe-50	149	15	until	until	ADP
aijbe-50	149	16	the	the	DET
aijbe-50	149	17	fifth	fifth	ADJ
aijbe-50	149	18	day	day	NOUN
aijbe-50	149	19	.	.	PUNCT
aijbe-50	150	1	for	for	ADP
aijbe-50	150	2	germany	germany	PROPN
aijbe-50	150	3	,	,	PUNCT
aijbe-50	150	4	the	the	DET
aijbe-50	150	5	estimated	estimate	VERB
aijbe-50	150	6	number	number	NOUN
aijbe-50	150	7	of	of	ADP
aijbe-50	150	8	cases	case	NOUN
aijbe-50	150	9	ranged	range	VERB
aijbe-50	150	10	from	from	ADP
aijbe-50	150	11	204,765	204,765	NUM
aijbe-50	150	12	to	to	ADP
aijbe-50	150	13	205,939	205,939	NUM
aijbe-50	150	14	,	,	PUNCT
aijbe-50	150	15	while	while	SCONJ
aijbe-50	150	16	the	the	DET
aijbe-50	150	17	actual	actual	ADJ
aijbe-50	150	18	cases	case	NOUN
aijbe-50	150	19	ranged	range	VERB
aijbe-50	150	20	from	from	ADP
aijbe-50	150	21	204,964	204,964	NUM
aijbe-50	150	22	to	to	ADP
aijbe-50	150	23	206,926	206,926	NUM
aijbe-50	150	24	.	.	PUNCT
aijbe-50	151	1	the	the	DET
aijbe-50	151	2	lowest	low	ADJ
aijbe-50	151	3	rmse	rmse	NOUN
aijbe-50	151	4	for	for	ADP
aijbe-50	151	5	germany	germany	PROPN
aijbe-50	151	6	was	be	AUX
aijbe-50	151	7	obtained	obtain	VERB
aijbe-50	151	8	on	on	ADP
aijbe-50	151	9	the	the	DET
aijbe-50	151	10	first	first	ADJ
aijbe-50	151	11	day	day	NOUN
aijbe-50	151	12	.	.	PUNCT
aijbe-50	152	1	for	for	ADP
aijbe-50	152	2	italy	italy	PROPN
aijbe-50	152	3	,	,	PUNCT
aijbe-50	152	4	the	the	DET
aijbe-50	152	5	predicted	predict	VERB
aijbe-50	152	6	cumulative	cumulative	ADJ
aijbe-50	152	7	cases	case	NOUN
aijbe-50	152	8	were	be	AUX
aijbe-50	152	9	246,860	246,860	NUM
aijbe-50	152	10	on	on	ADP
aijbe-50	152	11	the	the	DET
aijbe-50	152	12	first	first	ADJ
aijbe-50	152	13	day	day	NOUN
aijbe-50	152	14	and	and	CCONJ
aijbe-50	152	15	250,159	250,159	NUM
aijbe-50	152	16	on	on	ADP
aijbe-50	152	17	the	the	DET
aijbe-50	152	18	last	last	ADJ
aijbe-50	152	19	day	day	NOUN
aijbe-50	152	20	(	(	PUNCT
aijbe-50	152	21	the	the	DET
aijbe-50	152	22	fifth	fifth	ADJ
aijbe-50	152	23	day	day	NOUN
aijbe-50	152	24	)	)	PUNCT
aijbe-50	152	25	.	.	PUNCT
aijbe-50	153	1	the	the	DET
aijbe-50	153	2	cumulative	cumulative	ADJ
aijbe-50	153	3	number	number	NOUN
aijbe-50	153	4	of	of	ADP
aijbe-50	153	5	cases	case	NOUN
aijbe-50	153	6	for	for	ADP
aijbe-50	153	7	the	the	DET
aijbe-50	153	8	five	five	NUM
aijbe-50	153	9	days	day	NOUN
aijbe-50	153	10	varies	vary	VERB
aijbe-50	153	11	between	between	ADP
aijbe-50	153	12	246,776	246,776	NUM
aijbe-50	153	13	and	and	CCONJ
aijbe-50	153	14	248,070	248,070	NUM
aijbe-50	153	15	.	.	PUNCT
aijbe-50	154	1	the	the	DET
aijbe-50	154	2	lowest	low	ADJ
aijbe-50	154	3	rmse	rmse	NOUN
aijbe-50	154	4	for	for	ADP
aijbe-50	154	5	italy	italy	PROPN
aijbe-50	154	6	was	be	AUX
aijbe-50	154	7	obtained	obtain	VERB
aijbe-50	154	8	on	on	ADP
aijbe-50	154	9	the	the	DET
aijbe-50	154	10	first	first	ADJ
aijbe-50	154	11	day	day	NOUN
aijbe-50	154	12	.	.	PUNCT
aijbe-50	155	1	the	the	DET
aijbe-50	155	2	estimated	estimate	VERB
aijbe-50	155	3	cumulative	cumulative	ADJ
aijbe-50	155	4	number	number	NOUN
aijbe-50	155	5	of	of	ADP
aijbe-50	155	6	cases	case	NOUN
aijbe-50	155	7	for	for	ADP
aijbe-50	155	8	japan	japan	PROPN
aijbe-50	155	9	varies	vary	VERB
aijbe-50	155	10	between	between	ADP
aijbe-50	155	11	25,877	25,877	NUM
aijbe-50	155	12	and	and	CCONJ
aijbe-50	155	13	28,961	28,961	NUM
aijbe-50	155	14	.	.	PUNCT
aijbe-50	156	1	the	the	DET
aijbe-50	156	2	cumulative	cumulative	ADJ
aijbe-50	156	3	number	number	NOUN
aijbe-50	156	4	of	of	ADP
aijbe-50	156	5	cases	case	NOUN
aijbe-50	156	6	ranges	range	VERB
aijbe-50	156	7	from	from	ADP
aijbe-50	156	8	25,680	25,680	NUM
aijbe-50	156	9	on	on	ADP
aijbe-50	156	10	the	the	DET
aijbe-50	156	11	first	first	ADJ
aijbe-50	156	12	day	day	NOUN
aijbe-50	156	13	to	to	ADP
aijbe-50	156	14	28,867	28,867	NUM
aijbe-50	156	15	on	on	ADP
aijbe-50	156	16	the	the	DET
aijbe-50	156	17	fifth	fifth	ADJ
aijbe-50	156	18	day	day	NOUN
aijbe-50	156	19	.	.	PUNCT
aijbe-50	157	1	the	the	DET
aijbe-50	157	2	lowest	low	ADJ
aijbe-50	157	3	rmse	rmse	NOUN
aijbe-50	157	4	for	for	ADP
aijbe-50	157	5	japan	japan	PROPN
aijbe-50	157	6	was	be	AUX
aijbe-50	157	7	obtained	obtain	VERB
aijbe-50	157	8	on	on	ADP
aijbe-50	157	9	the	the	DET
aijbe-50	157	10	fourth	fourth	ADJ
aijbe-50	157	11	day	day	NOUN
aijbe-50	157	12	.	.	PUNCT
aijbe-50	158	1	for	for	ADP
aijbe-50	158	2	the	the	DET
aijbe-50	158	3	uk	uk	PROPN
aijbe-50	158	4	,	,	PUNCT
aijbe-50	158	5	the	the	DET
aijbe-50	158	6	predictions	prediction	NOUN
aijbe-50	158	7	for	for	ADP
aijbe-50	158	8	the	the	DET
aijbe-50	158	9	number	number	NOUN
aijbe-50	158	10	of	of	ADP
aijbe-50	158	11	cases	case	NOUN
aijbe-50	158	12	ranged	range	VERB
aijbe-50	158	13	from	from	ADP
aijbe-50	158	14	301,982	301,982	NUM
aijbe-50	158	15	to	to	ADP
aijbe-50	158	16	307,628	307,628	NUM
aijbe-50	158	17	for	for	ADP
aijbe-50	158	18	the	the	DET
aijbe-50	158	19	five	five	NUM
aijbe-50	158	20	days	day	NOUN
aijbe-50	158	21	.	.	PUNCT
aijbe-50	159	1	the	the	DET
aijbe-50	159	2	actual	actual	ADJ
aijbe-50	159	3	number	number	NOUN
aijbe-50	159	4	of	of	ADP
aijbe-50	159	5	cases	case	NOUN
aijbe-50	159	6	ranged	range	VERB
aijbe-50	159	7	from	from	ADP
aijbe-50	159	8	301,455	301,455	NUM
aijbe-50	159	9	to	to	ADP
aijbe-50	159	10	304,685	304,685	NUM
aijbe-50	159	11	.	.	PUNCT
aijbe-50	160	1	the	the	DET
aijbe-50	160	2	lowest	low	ADJ
aijbe-50	160	3	rmse	rmse	NOUN
aijbe-50	160	4	for	for	SCONJ
aijbe-50	160	5	the	the	DET
aijbe-50	160	6	uk	uk	PROPN
aijbe-50	160	7	is	be	AUX
aijbe-50	160	8	obtained	obtain	VERB
aijbe-50	160	9	for	for	ADP
aijbe-50	160	10	the	the	DET
aijbe-50	160	11	first	first	ADJ
aijbe-50	160	12	day	day	NOUN
aijbe-50	160	13	of	of	ADP
aijbe-50	160	14	the	the	DET
aijbe-50	160	15	prediction	prediction	NOUN
aijbe-50	160	16	.	.	PUNCT
aijbe-50	161	1	finally	finally	ADV
aijbe-50	161	2	,	,	PUNCT
aijbe-50	161	3	the	the	DET
aijbe-50	161	4	estimated	estimate	VERB
aijbe-50	161	5	cumulative	cumulative	ADJ
aijbe-50	161	6	data	datum	NOUN
aijbe-50	161	7	in	in	ADP
aijbe-50	161	8	the	the	DET
aijbe-50	161	9	usa	usa	PROPN
aijbe-50	161	10	are	be	AUX
aijbe-50	161	11	3,834,404	3,834,404	NUM
aijbe-50	161	12	for	for	ADP
aijbe-50	161	13	the	the	DET
aijbe-50	161	14	first	first	ADJ
aijbe-50	161	15	day	day	NOUN
aijbe-50	161	16	and	and	CCONJ
aijbe-50	161	17	4,072,962	4,072,962	NUM
aijbe-50	161	18	for	for	ADP
aijbe-50	161	19	the	the	DET
aijbe-50	161	20	fifth	fifth	ADJ
aijbe-50	161	21	day	day	NOUN
aijbe-50	161	22	.	.	PUNCT
aijbe-50	162	1	the	the	DET
aijbe-50	162	2	actual	actual	ADJ
aijbe-50	162	3	cumulative	cumulative	ADJ
aijbe-50	162	4	cases	case	NOUN
aijbe-50	162	5	during	during	ADP
aijbe-50	162	6	this	this	DET
aijbe-50	162	7	period	period	NOUN
aijbe-50	162	8	vary	vary	VERB
aijbe-50	162	9	between	between	ADP
aijbe-50	162	10	3,708,557	3,708,557	NUM
aijbe-50	162	11	and	and	CCONJ
aijbe-50	162	12	3,708,557	3,708,557	NUM
aijbe-50	162	13	.	.	PUNCT
aijbe-50	163	1	the	the	DET
aijbe-50	163	2	lowest	low	ADJ
aijbe-50	163	3	rmse	rmse	NOUN
aijbe-50	163	4	for	for	ADP
aijbe-50	163	5	the	the	DET
aijbe-50	163	6	usa	usa	PROPN
aijbe-50	163	7	was	be	AUX
aijbe-50	163	8	obtained	obtain	VERB
aijbe-50	163	9	on	on	ADP
aijbe-50	163	10	the	the	DET
aijbe-50	163	11	second	second	ADJ
aijbe-50	163	12	day	day	NOUN
aijbe-50	163	13	.	.	PUNCT
aijbe-50	164	1	japan	japan	PROPN
aijbe-50	164	2	rmse	rmse	PROPN
aijbe-50	164	3	uk	uk	PROPN
aijbe-50	164	4	𝑦	𝑦	PROPN
aijbe-50	164	5	�	�	PROPN
aijbe-50	164	6	̂	̂	PUNCT
aijbe-50	164	7	(	(	PUNCT
aijbe-50	164	8	forecasted	forecast	VERB
aijbe-50	164	9	)	)	PUNCT
aijbe-50	164	10	𝑦	𝑦	PROPN
aijbe-50	164	11	�	�	PROPN
aijbe-50	164	12	(	(	PUNCT
aijbe-50	164	13	actual	actual	ADJ
aijbe-50	164	14	)	)	PUNCT
aijbe-50	164	15	301,455	301,455	NUM
aijbe-50	164	16	302,301	302,301	NUM
aijbe-50	164	17	303,181	303,181	NUM
aijbe-50	164	18	303,942	303,942	NUM
aijbe-50	164	19	304,685	304,685	NUM
aijbe-50	164	20	4.58	4.58	NUM
aijbe-50	164	21	6.78	6.78	NUM
aijbe-50	164	22	8.77	8.77	NUM
aijbe-50	164	23	4.23	4.23	NUM
aijbe-50	164	24	0.69	0.69	NUM
aijbe-50	164	25	222,122	222,122	NUM
aijbe-50	164	26	224,749	224,749	NUM
aijbe-50	164	27	227,016	227,016	NUM
aijbe-50	164	28	228,708	228,708	NUM
aijbe-50	164	29	232,624	232,624	NUM
aijbe-50	164	30	343.20	343.20	NUM
aijbe-50	164	31	446.94	446.94	NUM
aijbe-50	164	32	534.56	534.56	NUM
aijbe-50	164	33	654.42	654.42	NUM
aijbe-50	164	34	946.02	946.02	NUM
aijbe-50	164	35	204,765	204,765	NUM
aijbe-50	164	36	205,044	205,044	NUM
aijbe-50	164	37	205,280	205,280	NUM
aijbe-50	164	38	205,604	205,604	NUM
aijbe-50	164	39	205,939	205,939	NUM
aijbe-50	164	40	14.83	14.83	NUM
aijbe-50	164	41	16.77	16.77	NUM
aijbe-50	164	42	24.52	24.52	NUM
aijbe-50	164	43	47.55	47.55	NUM
aijbe-50	164	44	73.57	73.57	NUM
aijbe-50	164	45	246,860	246,860	NUM
aijbe-50	164	46	247,480	247,480	NUM
aijbe-50	164	47	248,205	248,205	NUM
aijbe-50	164	48	249,144	249,144	NUM
aijbe-50	164	49	250,159	250,159	NUM
aijbe-50	164	50	6.25	6.25	NUM
aijbe-50	164	51	24.00	24.00	NUM
aijbe-50	164	52	49.81	49.81	NUM
aijbe-50	164	53	97.79	97.79	NUM
aijbe-50	164	54	155.71	155.71	NUM
aijbe-50	164	55	25,877	25,877	NUM
aijbe-50	164	56	26,562	26,562	NUM
aijbe-50	164	57	27,300	27,300	NUM
aijbe-50	164	58	28,103	28,103	NUM
aijbe-50	164	59	28,961	28,961	NUM
aijbe-50	164	60	14.71	14.71	NUM
aijbe-50	164	61	18.63	18.63	NUM
aijbe-50	164	62	14.39	14.39	NUM
aijbe-50	164	63	1.09	1.09	NUM
aijbe-50	164	64	6.97	6.97	NUM
aijbe-50	164	65	301,982	301,982	NUM
aijbe-50	164	66	303,226	303,226	NUM
aijbe-50	164	67	304,626	304,626	NUM
aijbe-50	164	68	306,014	306,014	NUM
aijbe-50	164	69	307,628	307,628	NUM
aijbe-50	164	70	39.30	39.30	NUM
aijbe-50	164	71	68.92	68.92	NUM
aijbe-50	164	72	107.73	107.73	NUM
aijbe-50	164	73	154.46	154.46	NUM
aijbe-50	164	74	219.38	219.38	NUM
aijbe-50	164	75	3,834,404	3,834,404	NUM
aijbe-50	164	76	3,897,260	3,897,260	NUM
aijbe-50	164	77	3,958,010	3,958,010	NUM
aijbe-50	164	78	4,017,141	4,017,141	NUM
aijbe-50	164	79	4,072,962	4,072,962	NUM
aijbe-50	164	80	yeliz	yeliz	ADJ
aijbe-50	164	81	zoğal	zoğal	NOUN
aijbe-50	164	82	(	(	PUNCT
aijbe-50	164	83	2022	2022	NUM
aijbe-50	164	84	)	)	PUNCT
aijbe-50	164	85	14	14	NUM
aijbe-50	164	86	american	american	ADJ
aijbe-50	164	87	interdisciplinary	interdisciplinary	ADJ
aijbe-50	164	88	journal	journal	NOUN
aijbe-50	164	89	of	of	ADP
aijbe-50	164	90	business	business	NOUN
aijbe-50	164	91	and	and	CCONJ
aijbe-50	164	92	economics	economic	NOUN
aijbe-50	164	93	|	|	ADV
aijbe-50	164	94	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	ADV
aijbe-50	164	95	the	the	DET
aijbe-50	164	96	lower	low	ADJ
aijbe-50	164	97	and	and	CCONJ
aijbe-50	164	98	upper	upper	ADJ
aijbe-50	164	99	bound	bind	VERB
aijbe-50	164	100	predictions	prediction	NOUN
aijbe-50	164	101	of	of	ADP
aijbe-50	164	102	the	the	DET
aijbe-50	164	103	estimated	estimate	VERB
aijbe-50	164	104	numbers	number	NOUN
aijbe-50	164	105	of	of	ADP
aijbe-50	164	106	cumulative	cumulative	ADJ
aijbe-50	164	107	cases	case	NOUN
aijbe-50	164	108	according	accord	VERB
aijbe-50	164	109	to	to	ADP
aijbe-50	164	110	the	the	DET
aijbe-50	164	111	prophet	prophet	NOUN
aijbe-50	164	112	model	model	NOUN
aijbe-50	164	113	are	be	AUX
aijbe-50	164	114	reported	report	VERB
aijbe-50	164	115	in	in	ADP
aijbe-50	164	116	table	table	NOUN
aijbe-50	164	117	2	2	NUM
aijbe-50	164	118	.	.	X
aijbe-50	165	1	for	for	ADP
aijbe-50	165	2	canada	canada	PROPN
aijbe-50	165	3	,	,	PUNCT
aijbe-50	165	4	except	except	SCONJ
aijbe-50	165	5	for	for	ADP
aijbe-50	165	6	the	the	DET
aijbe-50	165	7	fifth	fifth	ADJ
aijbe-50	165	8	day	day	NOUN
aijbe-50	165	9	,	,	PUNCT
aijbe-50	165	10	the	the	DET
aijbe-50	165	11	predicted	predict	VERB
aijbe-50	165	12	number	number	NOUN
aijbe-50	165	13	of	of	ADP
aijbe-50	165	14	cases	case	NOUN
aijbe-50	165	15	on	on	ADP
aijbe-50	165	16	all	all	DET
aijbe-50	165	17	other	other	ADJ
aijbe-50	165	18	days	day	NOUN
aijbe-50	165	19	fell	fall	VERB
aijbe-50	165	20	between	between	ADP
aijbe-50	165	21	the	the	DET
aijbe-50	165	22	lower	low	ADJ
aijbe-50	165	23	and	and	CCONJ
aijbe-50	165	24	upper	upper	ADJ
aijbe-50	165	25	bounds	bound	NOUN
aijbe-50	165	26	.	.	PUNCT
aijbe-50	166	1	for	for	ADP
aijbe-50	166	2	france	france	PROPN
aijbe-50	166	3	,	,	PUNCT
aijbe-50	166	4	the	the	DET
aijbe-50	166	5	number	number	NOUN
aijbe-50	166	6	of	of	ADP
aijbe-50	166	7	cases	case	NOUN
aijbe-50	166	8	on	on	ADP
aijbe-50	166	9	the	the	DET
aijbe-50	166	10	fourth	fourth	ADJ
aijbe-50	166	11	and	and	CCONJ
aijbe-50	166	12	fifth	fifth	ADJ
aijbe-50	166	13	days	day	NOUN
aijbe-50	166	14	was	be	AUX
aijbe-50	166	15	below	below	ADP
aijbe-50	166	16	the	the	DET
aijbe-50	166	17	lower	low	ADJ
aijbe-50	166	18	predicted	predict	VERB
aijbe-50	166	19	value	value	NOUN
aijbe-50	166	20	.	.	PUNCT
aijbe-50	167	1	in	in	ADP
aijbe-50	167	2	germany	germany	PROPN
aijbe-50	167	3	,	,	PUNCT
aijbe-50	167	4	the	the	DET
aijbe-50	167	5	number	number	NOUN
aijbe-50	167	6	of	of	ADP
aijbe-50	167	7	cumulative	cumulative	ADJ
aijbe-50	167	8	cases	case	NOUN
aijbe-50	167	9	remained	remain	VERB
aijbe-50	167	10	within	within	ADP
aijbe-50	167	11	the	the	DET
aijbe-50	167	12	predicted	predict	VERB
aijbe-50	167	13	range	range	NOUN
aijbe-50	167	14	.	.	PUNCT
aijbe-50	168	1	the	the	DET
aijbe-50	168	2	number	number	NOUN
aijbe-50	168	3	of	of	ADP
aijbe-50	168	4	cumulative	cumulative	ADJ
aijbe-50	168	5	cases	case	NOUN
aijbe-50	168	6	in	in	ADP
aijbe-50	168	7	italy	italy	PROPN
aijbe-50	168	8	on	on	ADP
aijbe-50	168	9	the	the	DET
aijbe-50	168	10	first	first	ADJ
aijbe-50	168	11	day	day	NOUN
aijbe-50	168	12	only	only	ADV
aijbe-50	168	13	,	,	PUNCT
aijbe-50	168	14	in	in	ADP
aijbe-50	168	15	japan	japan	PROPN
aijbe-50	168	16	on	on	ADP
aijbe-50	168	17	the	the	DET
aijbe-50	168	18	fourth	fourth	ADJ
aijbe-50	168	19	day	day	NOUN
aijbe-50	168	20	,	,	PUNCT
aijbe-50	168	21	and	and	CCONJ
aijbe-50	168	22	in	in	ADP
aijbe-50	168	23	the	the	DET
aijbe-50	168	24	usa	usa	PROPN
aijbe-50	168	25	on	on	ADP
aijbe-50	168	26	the	the	DET
aijbe-50	168	27	second	second	ADJ
aijbe-50	168	28	day	day	NOUN
aijbe-50	168	29	only	only	ADV
aijbe-50	168	30	was	be	AUX
aijbe-50	168	31	within	within	ADP
aijbe-50	168	32	the	the	DET
aijbe-50	168	33	predicted	predict	VERB
aijbe-50	168	34	range	range	NOUN
aijbe-50	168	35	.	.	PUNCT
aijbe-50	169	1	for	for	ADP
aijbe-50	169	2	the	the	DET
aijbe-50	169	3	uk	uk	PROPN
aijbe-50	169	4	,	,	PUNCT
aijbe-50	169	5	the	the	DET
aijbe-50	169	6	number	number	NOUN
aijbe-50	169	7	of	of	ADP
aijbe-50	169	8	cumulative	cumulative	ADJ
aijbe-50	169	9	cases	case	NOUN
aijbe-50	169	10	on	on	ADP
aijbe-50	169	11	all	all	DET
aijbe-50	169	12	days	day	NOUN
aijbe-50	169	13	was	be	AUX
aijbe-50	169	14	below	below	ADP
aijbe-50	169	15	the	the	DET
aijbe-50	169	16	lower	low	ADJ
aijbe-50	169	17	bound	bind	VERB
aijbe-50	169	18	of	of	ADP
aijbe-50	169	19	the	the	DET
aijbe-50	169	20	prediction	prediction	NOUN
aijbe-50	169	21	.	.	PUNCT
aijbe-50	170	1	table	table	NOUN
aijbe-50	170	2	2	2	NUM
aijbe-50	170	3	.	.	PUNCT
aijbe-50	170	4	interval	interval	NOUN
aijbe-50	170	5	of	of	ADP
aijbe-50	170	6	forecasted	forecast	VERB
aijbe-50	170	7	value	value	NOUN
aijbe-50	170	8	1st	1st	ADJ
aijbe-50	170	9	day	day	NOUN
aijbe-50	170	10	2nd	2nd	ADJ
aijbe-50	170	11	day	day	NOUN
aijbe-50	170	12	3rd	3rd	ADJ
aijbe-50	170	13	day	day	NOUN
aijbe-50	170	14	4th	4th	ADJ
aijbe-50	170	15	day	day	NOUN
aijbe-50	170	16	5th	5th	ADJ
aijbe-50	170	17	day	day	NOUN
aijbe-50	171	1	3,837,258	3,837,258	NUM
aijbe-50	171	2	3,900,328	3,900,328	NUM
aijbe-50	171	3	3,961,460	3,961,460	NUM
aijbe-50	171	4	4,021,477	4,021,477	NUM
aijbe-50	171	5	4,077,922	4,077,922	NUM
aijbe-50	171	6	the	the	DET
aijbe-50	171	7	graphs	graph	NOUN
aijbe-50	171	8	of	of	ADP
aijbe-50	171	9	actual	actual	ADJ
aijbe-50	171	10	and	and	CCONJ
aijbe-50	171	11	predicted	predict	VERB
aijbe-50	171	12	predictions	prediction	NOUN
aijbe-50	171	13	are	be	AUX
aijbe-50	171	14	presented	present	VERB
aijbe-50	171	15	in	in	ADP
aijbe-50	171	16	figure	figure	NOUN
aijbe-50	171	17	1	1	NUM
aijbe-50	171	18	.	.	PUNCT
aijbe-50	172	1	it	it	PRON
aijbe-50	172	2	can	can	AUX
aijbe-50	172	3	be	be	AUX
aijbe-50	172	4	seen	see	VERB
aijbe-50	172	5	that	that	SCONJ
aijbe-50	172	6	the	the	DET
aijbe-50	172	7	predicted	predict	VERB
aijbe-50	172	8	values	value	NOUN
aijbe-50	172	9	fit	fit	VERB
aijbe-50	172	10	well	well	ADV
aijbe-50	172	11	with	with	ADP
aijbe-50	172	12	the	the	DET
aijbe-50	172	13	actual	actual	ADJ
aijbe-50	172	14	values	value	NOUN
aijbe-50	172	15	.	.	PUNCT
aijbe-50	173	1	the	the	DET
aijbe-50	173	2	rmse	rmse	ADJ
aijbe-50	173	3	values	value	NOUN
aijbe-50	173	4	also	also	ADV
aijbe-50	173	5	support	support	VERB
aijbe-50	173	6	this	this	PRON
aijbe-50	173	7	.	.	PUNCT
aijbe-50	174	1	canada	canada	PROPN
aijbe-50	174	2	france	france	PROPN
aijbe-50	174	3	germany	germany	PROPN
aijbe-50	174	4	italy	italy	PROPN
aijbe-50	174	5	japan	japan	PROPN
aijbe-50	174	6	uk	uk	PROPN
aijbe-50	174	7	usa	usa	PROPN
aijbe-50	174	8	forecasted	forecast	VERB
aijbe-50	174	9	𝑦	𝑦	PRON
aijbe-50	174	10	�	�	PROPN
aijbe-50	174	11	̂	̂	VERB
aijbe-50	174	12	𝑙	𝑙	NOUN
aijbe-50	174	13	�	�	PROPN
aijbe-50	174	14	𝑜	𝑜	NOUN
aijbe-50	174	15	�	�	PROPN
aijbe-50	174	16	𝑤	𝑤	SYM
aijbe-50	174	17	�	�	PROPN
aijbe-50	174	18	𝑒	𝑒	PROPN
aijbe-50	174	19	�	�	PROPN
aijbe-50	174	20	𝑟	𝑟	NOUN
aijbe-50	174	21	�	�	PROPN
aijbe-50	174	22	𝑦	𝑦	PRON
aijbe-50	174	23	�	�	PROPN
aijbe-50	174	24	̂	̂	VERB
aijbe-50	174	25	𝑢	𝑢	PROPN
aijbe-50	174	26	�	�	PROPN
aijbe-50	174	27	𝑝	𝑝	NOUN
aijbe-50	174	28	�	�	PROPN
aijbe-50	174	29	𝑝	𝑝	NOUN
aijbe-50	174	30	�	�	PROPN
aijbe-50	174	31	𝑒	𝑒	NOUN
aijbe-50	174	32	�	�	PROPN
aijbe-50	174	33	𝑟	𝑟	NOUN
aijbe-50	174	34	�	�	NOUN
aijbe-50	174	35	forecasted	forecast	VERB
aijbe-50	174	36	𝑦	𝑦	NUM
aijbe-50	174	37	�	�	PROPN
aijbe-50	174	38	̂	̂	VERB
aijbe-50	174	39	𝑙	𝑙	NOUN
aijbe-50	174	40	�	�	PROPN
aijbe-50	174	41	𝑜	𝑜	NOUN
aijbe-50	174	42	�	�	PROPN
aijbe-50	174	43	𝑤	𝑤	SYM
aijbe-50	174	44	�	�	PROPN
aijbe-50	174	45	𝑒	𝑒	PROPN
aijbe-50	174	46	�	�	PROPN
aijbe-50	174	47	𝑟	𝑟	NOUN
aijbe-50	174	48	�	�	PROPN
aijbe-50	174	49	𝑦	𝑦	PRON
aijbe-50	174	50	�	�	PROPN
aijbe-50	174	51	̂	̂	VERB
aijbe-50	174	52	𝑢	𝑢	PROPN
aijbe-50	174	53	�	�	PROPN
aijbe-50	174	54	𝑝	𝑝	NOUN
aijbe-50	174	55	�	�	PROPN
aijbe-50	174	56	𝑝	𝑝	NOUN
aijbe-50	174	57	�	�	PROPN
aijbe-50	174	58	𝑒	𝑒	NOUN
aijbe-50	174	59	�	�	PROPN
aijbe-50	174	60	𝑟	𝑟	NOUN
aijbe-50	174	61	�	�	NOUN
aijbe-50	174	62	forecasted	forecast	VERB
aijbe-50	174	63	𝑦	𝑦	NUM
aijbe-50	174	64	�	�	PROPN
aijbe-50	174	65	̂	̂	VERB
aijbe-50	174	66	𝑙	𝑙	NOUN
aijbe-50	174	67	�	�	PROPN
aijbe-50	174	68	𝑜	𝑜	NOUN
aijbe-50	174	69	�	�	PROPN
aijbe-50	174	70	𝑤	𝑤	SYM
aijbe-50	174	71	�	�	PROPN
aijbe-50	174	72	𝑒	𝑒	PROPN
aijbe-50	174	73	�	�	PROPN
aijbe-50	174	74	𝑟	𝑟	NOUN
aijbe-50	174	75	�	�	PROPN
aijbe-50	174	76	𝑦	𝑦	PRON
aijbe-50	174	77	�	�	PROPN
aijbe-50	174	78	̂	̂	VERB
aijbe-50	174	79	𝑢	𝑢	PROPN
aijbe-50	174	80	�	�	PROPN
aijbe-50	174	81	𝑝	𝑝	NOUN
aijbe-50	174	82	�	�	PROPN
aijbe-50	174	83	𝑝	𝑝	NOUN
aijbe-50	174	84	�	�	PROPN
aijbe-50	174	85	𝑒	𝑒	NOUN
aijbe-50	174	86	�	�	PROPN
aijbe-50	174	87	𝑟	𝑟	NOUN
aijbe-50	174	88	�	�	NOUN
aijbe-50	174	89	forecasted	forecast	VERB
aijbe-50	174	90	𝑦	𝑦	NUM
aijbe-50	174	91	�	�	PROPN
aijbe-50	174	92	̂	̂	VERB
aijbe-50	174	93	𝑙	𝑙	NOUN
aijbe-50	174	94	�	�	PROPN
aijbe-50	174	95	𝑜	𝑜	NOUN
aijbe-50	174	96	�	�	PROPN
aijbe-50	174	97	𝑤	𝑤	SYM
aijbe-50	174	98	�	�	PROPN
aijbe-50	174	99	𝑒	𝑒	PROPN
aijbe-50	174	100	�	�	PROPN
aijbe-50	174	101	𝑟	𝑟	NOUN
aijbe-50	174	102	�	�	PROPN
aijbe-50	174	103	𝑦	𝑦	PRON
aijbe-50	174	104	�	�	PROPN
aijbe-50	174	105	̂	̂	VERB
aijbe-50	174	106	𝑢	𝑢	PROPN
aijbe-50	174	107	�	�	PROPN
aijbe-50	174	108	𝑝	𝑝	NOUN
aijbe-50	174	109	�	�	PROPN
aijbe-50	174	110	𝑝	𝑝	NOUN
aijbe-50	174	111	�	�	PROPN
aijbe-50	174	112	𝑒	𝑒	NOUN
aijbe-50	174	113	�	�	PROPN
aijbe-50	174	114	𝑟	𝑟	NOUN
aijbe-50	174	115	�	�	NOUN
aijbe-50	174	116	forecasted	forecast	VERB
aijbe-50	174	117	𝑦	𝑦	NUM
aijbe-50	174	118	�	�	PROPN
aijbe-50	174	119	̂	̂	VERB
aijbe-50	174	120	𝑙	𝑙	NOUN
aijbe-50	174	121	�	�	PROPN
aijbe-50	174	122	𝑜	𝑜	NOUN
aijbe-50	174	123	�	�	PROPN
aijbe-50	174	124	𝑤	𝑤	SYM
aijbe-50	174	125	�	�	PROPN
aijbe-50	174	126	𝑒	𝑒	PROPN
aijbe-50	174	127	�	�	PROPN
aijbe-50	174	128	𝑟	𝑟	NOUN
aijbe-50	174	129	�	�	PROPN
aijbe-50	174	130	𝑦	𝑦	PRON
aijbe-50	174	131	�	�	PROPN
aijbe-50	174	132	̂	̂	VERB
aijbe-50	174	133	𝑢	𝑢	PROPN
aijbe-50	174	134	�	�	PROPN
aijbe-50	174	135	𝑝	𝑝	NOUN
aijbe-50	174	136	�	�	PROPN
aijbe-50	174	137	𝑝	𝑝	NOUN
aijbe-50	174	138	�	�	PROPN
aijbe-50	174	139	𝑒	𝑒	NOUN
aijbe-50	174	140	�	�	PROPN
aijbe-50	174	141	𝑟	𝑟	NOUN
aijbe-50	174	142	�	�	NOUN
aijbe-50	174	143	forecasted	forecast	VERB
aijbe-50	174	144	𝑦	𝑦	NUM
aijbe-50	174	145	�	�	PROPN
aijbe-50	174	146	̂	̂	VERB
aijbe-50	174	147	𝑙	𝑙	NOUN
aijbe-50	174	148	�	�	PROPN
aijbe-50	174	149	𝑜	𝑜	NOUN
aijbe-50	174	150	�	�	PROPN
aijbe-50	174	151	𝑤	𝑤	SYM
aijbe-50	174	152	�	�	PROPN
aijbe-50	174	153	𝑒	𝑒	PROPN
aijbe-50	174	154	�	�	PROPN
aijbe-50	174	155	𝑟	𝑟	NOUN
aijbe-50	174	156	�	�	PROPN
aijbe-50	174	157	𝑦	𝑦	PRON
aijbe-50	174	158	�	�	PROPN
aijbe-50	174	159	̂	̂	VERB
aijbe-50	174	160	𝑢	𝑢	PROPN
aijbe-50	174	161	�	�	PROPN
aijbe-50	174	162	𝑝	𝑝	NOUN
aijbe-50	174	163	�	�	PROPN
aijbe-50	174	164	𝑝	𝑝	NOUN
aijbe-50	174	165	�	�	PROPN
aijbe-50	174	166	𝑒	𝑒	NOUN
aijbe-50	174	167	�	�	PROPN
aijbe-50	174	168	𝑟	𝑟	NOUN
aijbe-50	174	169	�	�	NOUN
aijbe-50	174	170	forecasted	forecast	VERB
aijbe-50	174	171	𝑦	𝑦	NUM
aijbe-50	174	172	�	�	PROPN
aijbe-50	174	173	̂	̂	VERB
aijbe-50	174	174	𝑙	𝑙	NOUN
aijbe-50	174	175	�	�	PROPN
aijbe-50	174	176	𝑜	𝑜	NOUN
aijbe-50	174	177	�	�	PROPN
aijbe-50	174	178	𝑤	𝑤	SYM
aijbe-50	174	179	�	�	PROPN
aijbe-50	174	180	𝑒	𝑒	PROPN
aijbe-50	174	181	�	�	PROPN
aijbe-50	174	182	𝑟	𝑟	NOUN
aijbe-50	174	183	�	�	PROPN
aijbe-50	174	184	𝑦	𝑦	PRON
aijbe-50	174	185	�	�	PROPN
aijbe-50	174	186	̂	̂	VERB
aijbe-50	174	187	𝑢	𝑢	PROPN
aijbe-50	174	188	�	�	PROPN
aijbe-50	174	189	𝑝	𝑝	NOUN
aijbe-50	174	190	�	�	PROPN
aijbe-50	174	191	𝑝	𝑝	NOUN
aijbe-50	174	192	�	�	PROPN
aijbe-50	174	193	𝑒	𝑒	NOUN
aijbe-50	174	194	�	�	PROPN
aijbe-50	174	195	𝑟	𝑟	NOUN
aijbe-50	174	196	�	�	PROPN
aijbe-50	174	197	112,112	112,112	NUM
aijbe-50	174	198	112,640	112,640	NUM
aijbe-50	174	199	113,158	113,158	NUM
aijbe-50	174	200	113,637	113,637	NUM
aijbe-50	174	201	113,979	113,979	NUM
aijbe-50	174	202	112,309	112,309	NUM
aijbe-50	174	203	112,871	112,871	NUM
aijbe-50	174	204	113,401	113,401	NUM
aijbe-50	174	205	113,930	113,930	NUM
aijbe-50	174	206	114,373	114,373	NUM
aijbe-50	174	207	214,108	214,108	NUM
aijbe-50	174	208	215,628	215,628	NUM
aijbe-50	174	209	218,392	218,392	NUM
aijbe-50	174	210	220,465	220,465	NUM
aijbe-50	174	211	224,020	224,020	NUM
aijbe-50	174	212	230,679	230,679	NUM
aijbe-50	174	213	233,821	233,821	NUM
aijbe-50	174	214	235,715	235,715	NUM
aijbe-50	174	215	236,962	236,962	NUM
aijbe-50	174	216	240,967	240,967	NUM
aijbe-50	174	217	204,238	204,238	NUM
aijbe-50	174	218	204,441	204,441	NUM
aijbe-50	174	219	204,610	204,610	NUM
aijbe-50	174	220	204,761	204,761	NUM
aijbe-50	174	221	204,764	204,764	NUM
aijbe-50	174	222	205,315	205,315	NUM
aijbe-50	174	223	205,611	205,611	NUM
aijbe-50	174	224	205,950	205,950	NUM
aijbe-50	174	225	206,579	206,579	NUM
aijbe-50	174	226	207,308	207,308	NUM
aijbe-50	174	227	246,557	246,557	NUM
aijbe-50	174	228	247,171	247,171	NUM
aijbe-50	174	229	247,832	247,832	NUM
aijbe-50	174	230	248,778	248,778	NUM
aijbe-50	174	231	249,692	249,692	NUM
aijbe-50	174	232	247,153	247,153	NUM
aijbe-50	174	233	247,788	247,788	NUM
aijbe-50	174	234	248,568	248,568	NUM
aijbe-50	174	235	249,534	249,534	NUM
aijbe-50	174	236	250,632	250,632	NUM
aijbe-50	174	237	25,823	25,823	NUM
aijbe-50	174	238	26,507	26,507	NUM
aijbe-50	174	239	27,241	27,241	NUM
aijbe-50	174	240	28,037	28,037	NUM
aijbe-50	174	241	28,893	28,893	NUM
aijbe-50	174	242	25,931	25,931	NUM
aijbe-50	174	243	26,621	26,621	NUM
aijbe-50	174	244	27,363	27,363	NUM
aijbe-50	174	245	28,164	28,164	NUM
aijbe-50	174	246	29,032	29,032	NUM
aijbe-50	174	247	301,638	301,638	NUM
aijbe-50	174	248	302,846	302,846	NUM
aijbe-50	174	249	304,237	304,237	NUM
aijbe-50	174	250	305,568	305,568	NUM
aijbe-50	174	251	307,094	307,094	NUM
aijbe-50	174	252	302,349	302,349	NUM
aijbe-50	174	253	303,605	303,605	NUM
aijbe-50	174	254	305,058	305,058	NUM
aijbe-50	174	255	306,505	306,505	NUM
aijbe-50	174	256	308,225	308,225	NUM
aijbe-50	174	257	3,831,657	3,831,657	NUM
aijbe-50	174	258	3,894,363	3,894,363	NUM
aijbe-50	174	259	3,954,755	3,954,755	NUM
aijbe-50	174	260	4,013,203	4,013,203	NUM
aijbe-50	174	261	4,067,776	4,067,776	NUM
aijbe-50	174	262	yeliz	yeliz	NOUN
aijbe-50	174	263	zoğal	zoğal	NOUN
aijbe-50	174	264	(	(	PUNCT
aijbe-50	174	265	2022	2022	NUM
aijbe-50	174	266	)	)	PUNCT
aijbe-50	174	267	15	15	NUM
aijbe-50	174	268	american	american	ADJ
aijbe-50	174	269	interdisciplinary	interdisciplinary	ADJ
aijbe-50	174	270	journal	journal	NOUN
aijbe-50	174	271	of	of	ADP
aijbe-50	174	272	business	business	NOUN
aijbe-50	174	273	and	and	CCONJ
aijbe-50	174	274	economics	economic	NOUN
aijbe-50	174	275	|	|	ADV
aijbe-50	174	276	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	ADV
aijbe-50	174	277	figure	figure	NOUN
aijbe-50	174	278	1	1	NUM
aijbe-50	174	279	.	.	PUNCT
aijbe-50	174	280	cumulative	cumulative	ADJ
aijbe-50	174	281	graph	graph	NOUN
aijbe-50	174	282	and	and	CCONJ
aijbe-50	174	283	forecasted	forecast	VERB
aijbe-50	174	284	trend	trend	NOUN
aijbe-50	174	285	of	of	ADP
aijbe-50	174	286	countries	country	NOUN
aijbe-50	174	287	4	4	NUM
aijbe-50	174	288	.	.	PUNCT
aijbe-50	175	1	conclusions	conclusion	NOUN
aijbe-50	175	2	the	the	DET
aijbe-50	175	3	rapid	rapid	ADJ
aijbe-50	175	4	spread	spread	NOUN
aijbe-50	175	5	of	of	ADP
aijbe-50	175	6	the	the	DET
aijbe-50	175	7	covid-19	covid-19	PROPN
aijbe-50	175	8	pandemic	pandemic	NOUN
aijbe-50	175	9	among	among	ADP
aijbe-50	175	10	countries	country	NOUN
aijbe-50	175	11	has	have	AUX
aijbe-50	175	12	prompted	prompt	VERB
aijbe-50	175	13	the	the	DET
aijbe-50	175	14	need	need	NOUN
aijbe-50	175	15	for	for	ADP
aijbe-50	175	16	research	research	NOUN
aijbe-50	175	17	on	on	ADP
aijbe-50	175	18	infectious	infectious	ADJ
aijbe-50	175	19	diseases	disease	NOUN
aijbe-50	175	20	’	'	PUNCT
aijbe-50	175	21	spread	spread	VERB
aijbe-50	175	22	mechanism	mechanism	NOUN
aijbe-50	175	23	and	and	CCONJ
aijbe-50	175	24	predictions	prediction	NOUN
aijbe-50	175	25	.	.	PUNCT
aijbe-50	176	1	this	this	DET
aijbe-50	176	2	study	study	NOUN
aijbe-50	176	3	aims	aim	VERB
aijbe-50	176	4	to	to	PART
aijbe-50	176	5	analyze	analyze	VERB
aijbe-50	176	6	covid19	covid19	NOUN
aijbe-50	176	7	five	five	NUM
aijbe-50	176	8	-	-	PUNCT
aijbe-50	176	9	day	day	NOUN
aijbe-50	176	10	prediction	prediction	NOUN
aijbe-50	176	11	forecasts	forecast	NOUN
aijbe-50	176	12	for	for	ADP
aijbe-50	176	13	g7	g7	PROPN
aijbe-50	176	14	countries	country	NOUN
aijbe-50	176	15	using	use	VERB
aijbe-50	176	16	the	the	DET
aijbe-50	176	17	prophet	prophet	NOUN
aijbe-50	176	18	model	model	NOUN
aijbe-50	176	19	,	,	PUNCT
aijbe-50	176	20	one	one	NUM
aijbe-50	176	21	of	of	ADP
aijbe-50	176	22	the	the	DET
aijbe-50	176	23	machine	machine	NOUN
aijbe-50	176	24	learning	learning	NOUN
aijbe-50	176	25	models	model	NOUN
aijbe-50	176	26	.	.	PUNCT
aijbe-50	177	1	for	for	ADP
aijbe-50	177	2	this	this	DET
aijbe-50	177	3	purpose	purpose	NOUN
aijbe-50	177	4	,	,	PUNCT
aijbe-50	177	5	five	five	NUM
aijbe-50	177	6	-	-	PUNCT
aijbe-50	177	7	day	day	NOUN
aijbe-50	177	8	forecasts	forecast	NOUN
aijbe-50	177	9	,	,	PUNCT
aijbe-50	177	10	five	five	NUM
aijbe-50	177	11	-	-	PUNCT
aijbe-50	177	12	day	day	NOUN
aijbe-50	177	13	forecast	forecast	NOUN
aijbe-50	177	14	intervals	interval	NOUN
aijbe-50	177	15	and	and	CCONJ
aijbe-50	177	16	rmse	rmse	ADJ
aijbe-50	177	17	statistics	statistic	NOUN
aijbe-50	177	18	for	for	ADP
aijbe-50	177	19	the	the	DET
aijbe-50	177	20	results	result	NOUN
aijbe-50	177	21	obtained	obtain	VERB
aijbe-50	177	22	with	with	ADP
aijbe-50	177	23	the	the	DET
aijbe-50	177	24	prophet	prophet	NOUN
aijbe-50	177	25	model	model	NOUN
aijbe-50	177	26	were	be	AUX
aijbe-50	177	27	calculated	calculate	VERB
aijbe-50	177	28	.	.	PUNCT
aijbe-50	178	1	based	base	VERB
aijbe-50	178	2	on	on	ADP
aijbe-50	178	3	the	the	DET
aijbe-50	178	4	forecasting	forecasting	NOUN
aijbe-50	178	5	results	result	NOUN
aijbe-50	178	6	obtained	obtain	VERB
aijbe-50	178	7	using	use	VERB
aijbe-50	178	8	the	the	DET
aijbe-50	178	9	prophet	prophet	NOUN
aijbe-50	178	10	model	model	NOUN
aijbe-50	178	11	,	,	PUNCT
aijbe-50	178	12	canada	canada	PROPN
aijbe-50	178	13	's	's	PART
aijbe-50	178	14	closest	close	ADJ
aijbe-50	178	15	predictions	prediction	NOUN
aijbe-50	178	16	(	(	PUNCT
aijbe-50	178	17	lowest	low	ADJ
aijbe-50	178	18	rmse	rmse	NOUN
aijbe-50	178	19	)	)	PUNCT
aijbe-50	178	20	were	be	AUX
aijbe-50	178	21	obtained	obtain	VERB
aijbe-50	178	22	.	.	PUNCT
aijbe-50	179	1	canada	canada	PROPN
aijbe-50	179	2	and	and	CCONJ
aijbe-50	179	3	germany	germany	PROPN
aijbe-50	179	4	,	,	PUNCT
aijbe-50	179	5	italy	italy	PROPN
aijbe-50	179	6	,	,	PUNCT
aijbe-50	179	7	japan	japan	PROPN
aijbe-50	179	8	,	,	PUNCT
aijbe-50	179	9	italy	italy	PROPN
aijbe-50	179	10	,	,	PUNCT
aijbe-50	179	11	japan	japan	PROPN
aijbe-50	179	12	and	and	CCONJ
aijbe-50	179	13	the	the	DET
aijbe-50	179	14	uk	uk	PROPN
aijbe-50	179	15	have	have	VERB
aijbe-50	179	16	particularly	particularly	ADV
aijbe-50	179	17	close	close	ADJ
aijbe-50	179	18	predictions	prediction	NOUN
aijbe-50	179	19	for	for	ADP
aijbe-50	179	20	the	the	DET
aijbe-50	179	21	first	first	ADJ
aijbe-50	179	22	day	day	NOUN
aijbe-50	179	23	.	.	PUNCT
aijbe-50	180	1	the	the	DET
aijbe-50	180	2	possible	possible	ADJ
aijbe-50	180	3	reasons	reason	NOUN
aijbe-50	180	4	for	for	ADP
aijbe-50	180	5	the	the	DET
aijbe-50	180	6	close	close	ADJ
aijbe-50	180	7	predictions	prediction	NOUN
aijbe-50	180	8	are	be	AUX
aijbe-50	180	9	that	that	SCONJ
aijbe-50	180	10	these	these	DET
aijbe-50	180	11	countries	country	NOUN
aijbe-50	180	12	have	have	AUX
aijbe-50	180	13	implemented	implement	VERB
aijbe-50	180	14	nationwide	nationwide	ADJ
aijbe-50	180	15	shutdowns	shutdown	NOUN
aijbe-50	180	16	and	and	CCONJ
aijbe-50	180	17	did	do	AUX
aijbe-50	180	18	not	not	PART
aijbe-50	180	19	change	change	VERB
aijbe-50	180	20	their	their	PRON
aijbe-50	180	21	data	datum	NOUN
aijbe-50	180	22	enough	enough	ADV
aijbe-50	180	23	to	to	PART
aijbe-50	180	24	affect	affect	VERB
aijbe-50	180	25	the	the	DET
aijbe-50	180	26	results	result	NOUN
aijbe-50	180	27	during	during	ADP
aijbe-50	180	28	the	the	DET
aijbe-50	180	29	180	180	NUM
aijbe-50	180	30	days	day	NOUN
aijbe-50	180	31	.	.	PUNCT
aijbe-50	181	1	the	the	DET
aijbe-50	181	2	most	most	ADV
aijbe-50	181	3	distant	distant	ADJ
aijbe-50	181	4	predictions	prediction	NOUN
aijbe-50	181	5	(	(	PUNCT
aijbe-50	181	6	highest	high	ADJ
aijbe-50	181	7	rmse	rmse	NOUN
aijbe-50	181	8	)	)	PUNCT
aijbe-50	181	9	are	be	AUX
aijbe-50	181	10	obtained	obtain	VERB
aijbe-50	181	11	for	for	ADP
aijbe-50	181	12	the	the	DET
aijbe-50	181	13	usa	usa	PROPN
aijbe-50	181	14	.	.	PUNCT
aijbe-50	182	1	the	the	DET
aijbe-50	182	2	reason	reason	NOUN
aijbe-50	182	3	for	for	ADP
aijbe-50	182	4	the	the	DET
aijbe-50	182	5	highest	high	ADJ
aijbe-50	182	6	rmse	rmse	NOUN
aijbe-50	182	7	for	for	ADP
aijbe-50	182	8	the	the	DET
aijbe-50	182	9	usa	usa	PROPN
aijbe-50	182	10	is	be	AUX
aijbe-50	182	11	the	the	DET
aijbe-50	182	12	parameter	parameter	NOUN
aijbe-50	182	13	added	add	VERB
aijbe-50	182	14	to	to	ADP
aijbe-50	182	15	the	the	DET
aijbe-50	182	16	model	model	NOUN
aijbe-50	182	17	for	for	ADP
aijbe-50	182	18	shutdown	shutdown	ADJ
aijbe-50	182	19	days	day	NOUN
aijbe-50	182	20	.	.	PUNCT
aijbe-50	183	1	in	in	ADP
aijbe-50	183	2	the	the	DET
aijbe-50	183	3	usa	usa	NOUN
aijbe-50	183	4	,	,	PUNCT
aijbe-50	183	5	closure	closure	NOUN
aijbe-50	183	6	decisions	decision	NOUN
aijbe-50	183	7	were	be	AUX
aijbe-50	183	8	made	make	VERB
aijbe-50	183	9	at	at	ADP
aijbe-50	183	10	the	the	DET
aijbe-50	183	11	state	state	NOUN
aijbe-50	183	12	and	and	CCONJ
aijbe-50	183	13	county	county	NOUN
aijbe-50	183	14	level	level	NOUN
aijbe-50	183	15	rather	rather	ADV
aijbe-50	183	16	than	than	ADP
aijbe-50	183	17	the	the	DET
aijbe-50	183	18	federal	federal	ADJ
aijbe-50	183	19	government	government	NOUN
aijbe-50	183	20	at	at	ADP
aijbe-50	183	21	the	the	DET
aijbe-50	183	22	beginning	beginning	NOUN
aijbe-50	183	23	of	of	ADP
aijbe-50	183	24	the	the	DET
aijbe-50	183	25	pandemic	pandemic	ADJ
aijbe-50	183	26	and	and	CCONJ
aijbe-50	183	27	were	be	AUX
aijbe-50	183	28	inconsistent	inconsistent	ADJ
aijbe-50	183	29	.	.	PUNCT
aijbe-50	184	1	for	for	ADP
aijbe-50	184	2	france	france	PROPN
aijbe-50	184	3	,	,	PUNCT
aijbe-50	184	4	which	which	PRON
aijbe-50	184	5	has	have	VERB
aijbe-50	184	6	the	the	DET
aijbe-50	184	7	highest	high	ADJ
aijbe-50	184	8	rmse	rmse	NOUN
aijbe-50	184	9	results	result	NOUN
aijbe-50	184	10	in	in	ADP
aijbe-50	184	11	predictions	prediction	NOUN
aijbe-50	184	12	with	with	ADP
aijbe-50	184	13	the	the	DET
aijbe-50	184	14	usa	usa	PROPN
aijbe-50	184	15	,	,	PUNCT
aijbe-50	184	16	the	the	DET
aijbe-50	184	17	reason	reason	NOUN
aijbe-50	184	18	can	can	AUX
aijbe-50	184	19	be	be	AUX
aijbe-50	184	20	attributed	attribute	VERB
aijbe-50	184	21	to	to	ADP
aijbe-50	184	22	data	datum	NOUN
aijbe-50	184	23	corrections	correction	NOUN
aijbe-50	184	24	at	at	ADP
aijbe-50	184	25	the	the	DET
aijbe-50	184	26	beginning	beginning	NOUN
aijbe-50	184	27	of	of	ADP
aijbe-50	184	28	the	the	DET
aijbe-50	184	29	pandemic	pandemic	NOUN
aijbe-50	184	30	.	.	PUNCT
aijbe-50	185	1	in	in	ADP
aijbe-50	185	2	light	light	NOUN
aijbe-50	185	3	of	of	ADP
aijbe-50	185	4	these	these	DET
aijbe-50	185	5	results	result	NOUN
aijbe-50	185	6	,	,	PUNCT
aijbe-50	185	7	it	it	PRON
aijbe-50	185	8	is	be	AUX
aijbe-50	185	9	observed	observe	VERB
aijbe-50	185	10	yeliz	yeliz	ADJ
aijbe-50	185	11	zoğal	zoğal	NOUN
aijbe-50	185	12	(	(	PUNCT
aijbe-50	185	13	2022	2022	NUM
aijbe-50	185	14	)	)	PUNCT
aijbe-50	185	15	16	16	NUM
aijbe-50	185	16	american	american	ADJ
aijbe-50	185	17	interdisciplinary	interdisciplinary	ADJ
aijbe-50	185	18	journal	journal	NOUN
aijbe-50	185	19	of	of	ADP
aijbe-50	185	20	business	business	NOUN
aijbe-50	185	21	and	and	CCONJ
aijbe-50	185	22	economics	economic	NOUN
aijbe-50	185	23	|	|	ADV
aijbe-50	185	24	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	NUM
aijbe-50	185	25	that	that	SCONJ
aijbe-50	185	26	the	the	DET
aijbe-50	185	27	prophet	prophet	NOUN
aijbe-50	185	28	model	model	NOUN
aijbe-50	185	29	as	as	ADP
aijbe-50	185	30	a	a	DET
aijbe-50	185	31	machine	machine	NOUN
aijbe-50	185	32	learning	learn	VERB
aijbe-50	185	33	model	model	NOUN
aijbe-50	185	34	provides	provide	VERB
aijbe-50	185	35	accurate	accurate	ADJ
aijbe-50	185	36	predictions	prediction	NOUN
aijbe-50	185	37	when	when	SCONJ
aijbe-50	185	38	the	the	DET
aijbe-50	185	39	correct	correct	ADJ
aijbe-50	185	40	data	datum	NOUN
aijbe-50	185	41	is	be	AUX
aijbe-50	185	42	provided	provide	VERB
aijbe-50	185	43	,	,	PUNCT
aijbe-50	185	44	the	the	DET
aijbe-50	185	45	number	number	NOUN
aijbe-50	185	46	of	of	ADP
aijbe-50	185	47	data	data	NOUN
aijbe-50	185	48	-	-	PUNCT
aijbe-50	185	49	related	relate	VERB
aijbe-50	185	50	corrections	correction	NOUN
aijbe-50	185	51	is	be	AUX
aijbe-50	185	52	reduced	reduce	VERB
aijbe-50	185	53	,	,	PUNCT
aijbe-50	185	54	and	and	CCONJ
aijbe-50	185	55	a	a	DET
aijbe-50	185	56	regular	regular	ADJ
aijbe-50	185	57	shutdown	shutdown	NOUN
aijbe-50	185	58	regime	regime	NOUN
aijbe-50	185	59	is	be	AUX
aijbe-50	185	60	followed	follow	VERB
aijbe-50	185	61	.	.	PUNCT
aijbe-50	186	1	forecasting	forecast	VERB
aijbe-50	186	2	the	the	DET
aijbe-50	186	3	spread	spread	NOUN
aijbe-50	186	4	of	of	ADP
aijbe-50	186	5	covid-19	covid-19	PROPN
aijbe-50	186	6	is	be	AUX
aijbe-50	186	7	important	important	ADJ
aijbe-50	186	8	for	for	ADP
aijbe-50	186	9	policymakers	policymaker	NOUN
aijbe-50	186	10	because	because	SCONJ
aijbe-50	186	11	it	it	PRON
aijbe-50	186	12	helps	help	VERB
aijbe-50	186	13	them	they	PRON
aijbe-50	186	14	to	to	PART
aijbe-50	186	15	make	make	VERB
aijbe-50	186	16	informed	informed	ADJ
aijbe-50	186	17	decisions	decision	NOUN
aijbe-50	186	18	about	about	ADP
aijbe-50	186	19	how	how	SCONJ
aijbe-50	186	20	to	to	PART
aijbe-50	186	21	respond	respond	VERB
aijbe-50	186	22	to	to	ADP
aijbe-50	186	23	the	the	DET
aijbe-50	186	24	pandemic	pandemic	ADJ
aijbe-50	186	25	.	.	PUNCT
aijbe-50	187	1	accurate	accurate	ADJ
aijbe-50	187	2	forecasts	forecast	NOUN
aijbe-50	187	3	of	of	ADP
aijbe-50	187	4	the	the	DET
aijbe-50	187	5	number	number	NOUN
aijbe-50	187	6	of	of	ADP
aijbe-50	187	7	cases	case	NOUN
aijbe-50	187	8	can	can	AUX
aijbe-50	187	9	inform	inform	VERB
aijbe-50	187	10	decisions	decision	NOUN
aijbe-50	187	11	about	about	ADP
aijbe-50	187	12	lockdowns	lockdown	NOUN
aijbe-50	187	13	,	,	PUNCT
aijbe-50	187	14	school	school	NOUN
aijbe-50	187	15	closures	closure	NOUN
aijbe-50	187	16	,	,	PUNCT
aijbe-50	187	17	and	and	CCONJ
aijbe-50	187	18	other	other	ADJ
aijbe-50	187	19	public	public	ADJ
aijbe-50	187	20	health	health	NOUN
aijbe-50	187	21	measures	measure	NOUN
aijbe-50	187	22	.	.	PUNCT
aijbe-50	188	1	they	they	PRON
aijbe-50	188	2	can	can	AUX
aijbe-50	188	3	also	also	ADV
aijbe-50	188	4	help	help	VERB
aijbe-50	188	5	policymakers	policymaker	NOUN
aijbe-50	188	6	to	to	PART
aijbe-50	188	7	plan	plan	VERB
aijbe-50	188	8	for	for	ADP
aijbe-50	188	9	the	the	DET
aijbe-50	188	10	distribution	distribution	NOUN
aijbe-50	188	11	of	of	ADP
aijbe-50	188	12	vaccines	vaccine	NOUN
aijbe-50	188	13	and	and	CCONJ
aijbe-50	188	14	other	other	ADJ
aijbe-50	188	15	medical	medical	ADJ
aijbe-50	188	16	resources	resource	NOUN
aijbe-50	188	17	.	.	PUNCT
aijbe-50	189	1	additionally	additionally	ADV
aijbe-50	189	2	,	,	PUNCT
aijbe-50	189	3	forecasts	forecast	NOUN
aijbe-50	189	4	can	can	AUX
aijbe-50	189	5	help	help	VERB
aijbe-50	189	6	policymakers	policymaker	NOUN
aijbe-50	189	7	to	to	PART
aijbe-50	189	8	identify	identify	VERB
aijbe-50	189	9	areas	area	NOUN
aijbe-50	189	10	of	of	ADP
aijbe-50	189	11	the	the	DET
aijbe-50	189	12	population	population	NOUN
aijbe-50	189	13	that	that	PRON
aijbe-50	189	14	may	may	AUX
aijbe-50	189	15	be	be	AUX
aijbe-50	189	16	at	at	ADP
aijbe-50	189	17	particularly	particularly	ADV
aijbe-50	189	18	high	high	ADJ
aijbe-50	189	19	risk	risk	NOUN
aijbe-50	189	20	,	,	PUNCT
aijbe-50	189	21	so	so	SCONJ
aijbe-50	189	22	that	that	SCONJ
aijbe-50	189	23	they	they	PRON
aijbe-50	189	24	can	can	AUX
aijbe-50	189	25	target	target	VERB
aijbe-50	189	26	interventions	intervention	NOUN
aijbe-50	189	27	to	to	ADP
aijbe-50	189	28	those	those	DET
aijbe-50	189	29	groups	group	NOUN
aijbe-50	189	30	.	.	PUNCT
aijbe-50	190	1	overall	overall	ADV
aijbe-50	190	2	,	,	PUNCT
aijbe-50	190	3	the	the	DET
aijbe-50	190	4	policy	policy	NOUN
aijbe-50	190	5	makers	maker	NOUN
aijbe-50	190	6	would	would	AUX
aijbe-50	190	7	consider	consider	VERB
aijbe-50	190	8	the	the	DET
aijbe-50	190	9	prophet	prophet	NOUN
aijbe-50	190	10	model	model	NOUN
aijbe-50	190	11	in	in	ADP
aijbe-50	190	12	forecasting	forecast	VERB
aijbe-50	190	13	the	the	DET
aijbe-50	190	14	spread	spread	NOUN
aijbe-50	190	15	of	of	ADP
aijbe-50	190	16	infectious	infectious	ADJ
aijbe-50	190	17	to	to	PART
aijbe-50	190	18	limit	limit	VERB
aijbe-50	190	19	the	the	DET
aijbe-50	190	20	adverse	adverse	ADJ
aijbe-50	190	21	effects	effect	NOUN
aijbe-50	190	22	on	on	ADP
aijbe-50	190	23	economies	economy	NOUN
aijbe-50	190	24	and	and	CCONJ
aijbe-50	190	25	businesses	business	NOUN
aijbe-50	190	26	.	.	PUNCT
aijbe-50	191	1	funding	funding	NOUN
aijbe-50	191	2	:	:	PUNCT
aijbe-50	191	3	this	this	DET
aijbe-50	191	4	research	research	NOUN
aijbe-50	191	5	received	receive	VERB
aijbe-50	191	6	no	no	DET
aijbe-50	191	7	external	external	ADJ
aijbe-50	191	8	funding	funding	NOUN
aijbe-50	191	9	.	.	PUNCT
aijbe-50	192	1	acknowledgments	acknowledgment	NOUN
aijbe-50	192	2	:	:	PUNCT
aijbe-50	192	3	the	the	DET
aijbe-50	192	4	author	author	NOUN
aijbe-50	192	5	is	be	AUX
aijbe-50	192	6	a	a	DET
aijbe-50	192	7	phd	phd	NOUN
aijbe-50	192	8	student	student	NOUN
aijbe-50	192	9	at	at	ADP
aijbe-50	192	10	institute	institute	PROPN
aijbe-50	192	11	of	of	ADP
aijbe-50	192	12	graduate	graduate	NOUN
aijbe-50	192	13	programs	program	NOUN
aijbe-50	192	14	,	,	PUNCT
aijbe-50	192	15	ankara	ankara	PROPN
aijbe-50	192	16	haci	haci	PROPN
aijbe-50	192	17	bayram	bayram	PROPN
aijbe-50	192	18	veli	veli	PROPN
aijbe-50	192	19	university	university	PROPN
aijbe-50	192	20	.	.	PUNCT
aijbe-50	193	1	this	this	DET
aijbe-50	193	2	article	article	NOUN
aijbe-50	193	3	is	be	AUX
aijbe-50	193	4	partly	partly	ADV
aijbe-50	193	5	derived	derive	VERB
aijbe-50	193	6	from	from	ADP
aijbe-50	193	7	the	the	DET
aijbe-50	193	8	phd	phd	NOUN
aijbe-50	193	9	thesis	thesis	NOUN
aijbe-50	193	10	and	and	CCONJ
aijbe-50	193	11	extended	extend	VERB
aijbe-50	193	12	with	with	ADP
aijbe-50	193	13	additional	additional	ADJ
aijbe-50	193	14	analyses	analysis	NOUN
aijbe-50	193	15	.	.	PUNCT
aijbe-50	194	1	conflicts	conflict	NOUN
aijbe-50	194	2	of	of	ADP
aijbe-50	194	3	interest	interest	NOUN
aijbe-50	194	4	:	:	PUNCT
aijbe-50	194	5	the	the	DET
aijbe-50	194	6	author	author	NOUN
aijbe-50	194	7	declares	declare	VERB
aijbe-50	194	8	no	no	DET
aijbe-50	194	9	conflict	conflict	NOUN
aijbe-50	194	10	of	of	ADP
aijbe-50	194	11	interest	interest	NOUN
aijbe-50	194	12	.	.	PUNCT
aijbe-50	195	1	references	reference	NOUN
aijbe-50	195	2	anirudh	anirudh	VERB
aijbe-50	195	3	,	,	PUNCT
aijbe-50	195	4	a.	a.	NOUN
aijbe-50	195	5	(	(	PUNCT
aijbe-50	195	6	2020	2020	NUM
aijbe-50	195	7	)	)	PUNCT
aijbe-50	195	8	.	.	PUNCT
aijbe-50	196	1	mathematical	mathematical	ADJ
aijbe-50	196	2	modeling	modeling	NOUN
aijbe-50	196	3	and	and	CCONJ
aijbe-50	196	4	the	the	DET
aijbe-50	196	5	transmission	transmission	NOUN
aijbe-50	196	6	dynamics	dynamic	NOUN
aijbe-50	196	7	in	in	ADP
aijbe-50	196	8	predicting	predict	VERB
aijbe-50	196	9	the	the	DET
aijbe-50	196	10	covid-19	covid-19	PROPN
aijbe-50	196	11	what	what	PRON
aijbe-50	196	12	next	next	ADV
aijbe-50	196	13	in	in	ADP
aijbe-50	196	14	combating	combat	VERB
aijbe-50	196	15	the	the	DET
aijbe-50	196	16	pandemic	pandemic	ADJ
aijbe-50	196	17	.	.	PUNCT
aijbe-50	197	1	infectious	infectious	ADJ
aijbe-50	197	2	disease	disease	NOUN
aijbe-50	197	3	modelling	modelling	NOUN
aijbe-50	197	4	.	.	PUNCT
aijbe-50	198	1	5:366	5:366	NUM
aijbe-50	198	2	-	-	SYM
aijbe-50	198	3	74	74	NUM
aijbe-50	198	4	.	.	PUNCT
aijbe-50	199	1	baldwin	baldwin	PROPN
aijbe-50	199	2	,	,	PUNCT
aijbe-50	199	3	r.	r.	PROPN
aijbe-50	199	4	(	(	PUNCT
aijbe-50	199	5	2020	2020	NUM
aijbe-50	199	6	)	)	PUNCT
aijbe-50	199	7	.	.	PUNCT
aijbe-50	200	1	the	the	DET
aijbe-50	200	2	supply	supply	NOUN
aijbe-50	200	3	side	side	NOUN
aijbe-50	200	4	matters	matter	NOUN
aijbe-50	200	5	:	:	PUNCT
aijbe-50	200	6	guns	gun	NOUN
aijbe-50	200	7	versus	versus	ADP
aijbe-50	200	8	butter	butter	NOUN
aijbe-50	200	9	,	,	PUNCT
aijbe-50	200	10	covid	covid	NOUN
aijbe-50	200	11	-	-	PUNCT
aijbe-50	200	12	style	style	NOUN
aijbe-50	200	13	.	.	PUNCT
aijbe-50	201	1	retrieved	retrieve	VERB
aijbe-50	201	2	from	from	ADP
aijbe-50	201	3	https://cepr.org/voxeu/columns/supply-side-matters-guns-versus-butter-covid-style	https://cepr.org/voxeu/columns/supply-side-matters-guns-versus-butter-covid-style	NOUN
aijbe-50	201	4	benvenuto	benvenuto	PROPN
aijbe-50	201	5	,	,	PUNCT
aijbe-50	201	6	d.	d.	PROPN
aijbe-50	201	7	,	,	PUNCT
aijbe-50	201	8	marta	marta	PROPN
aijbe-50	201	9	g.	g.	PROPN
aijbe-50	201	10	,	,	PUNCT
aijbe-50	201	11	lazzaro	lazzaro	PROPN
aijbe-50	201	12	v.	v.	PROPN
aijbe-50	201	13	,	,	PUNCT
aijbe-50	201	14	silvia	silvia	PROPN
aijbe-50	201	15	a.	a.	PROPN
aijbe-50	201	16	and	and	CCONJ
aijbe-50	201	17	massimo	massimo	PROPN
aijbe-50	201	18	c.	c.	PROPN
aijbe-50	201	19	,	,	PUNCT
aijbe-50	201	20	(	(	PUNCT
aijbe-50	201	21	2020	2020	NUM
aijbe-50	201	22	)	)	PUNCT
aijbe-50	201	23	.	.	PUNCT
aijbe-50	202	1	application	application	NOUN
aijbe-50	202	2	of	of	ADP
aijbe-50	202	3	the	the	DET
aijbe-50	202	4	arima	arima	PROPN
aijbe-50	202	5	model	model	NOUN
aijbe-50	202	6	on	on	ADP
aijbe-50	202	7	the	the	DET
aijbe-50	202	8	covid-2019	covid-2019	ADJ
aijbe-50	202	9	epidemic	epidemic	NOUN
aijbe-50	202	10	dataset	dataset	NOUN
aijbe-50	202	11	.	.	PUNCT
aijbe-50	203	1	data	datum	NOUN
aijbe-50	203	2	in	in	ADP
aijbe-50	203	3	brief	brief	NOUN
aijbe-50	203	4	.	.	PUNCT
aijbe-50	204	1	29:105340	29:105340	X
aijbe-50	204	2	.	.	PUNCT
aijbe-50	205	1	doi	doi	NOUN
aijbe-50	205	2	:	:	PUNCT
aijbe-50	205	3	10.1016	10.1016	NUM
aijbe-50	205	4	/	/	SYM
aijbe-50	205	5	j.dib.2020.105340	j.dib.2020.105340	PROPN
aijbe-50	205	6	.	.	PUNCT
aijbe-50	206	1	ceylan	ceylan	PROPN
aijbe-50	206	2	,	,	PUNCT
aijbe-50	206	3	z.	z.	PROPN
aijbe-50	206	4	(	(	PUNCT
aijbe-50	206	5	2020	2020	NUM
aijbe-50	206	6	)	)	PUNCT
aijbe-50	206	7	.	.	PUNCT
aijbe-50	207	1	estimation	estimation	NOUN
aijbe-50	207	2	of	of	ADP
aijbe-50	207	3	covid-19	covid-19	PROPN
aijbe-50	207	4	prevalence	prevalence	NOUN
aijbe-50	207	5	in	in	ADP
aijbe-50	207	6	italy	italy	PROPN
aijbe-50	207	7	,	,	PUNCT
aijbe-50	207	8	spain	spain	PROPN
aijbe-50	207	9	,	,	PUNCT
aijbe-50	207	10	and	and	CCONJ
aijbe-50	207	11	france	france	PROPN
aijbe-50	207	12	.	.	PUNCT
aijbe-50	208	1	science	science	NOUN
aijbe-50	208	2	of	of	ADP
aijbe-50	208	3	the	the	DET
aijbe-50	208	4	total	total	ADJ
aijbe-50	208	5	environment	environment	NOUN
aijbe-50	208	6	.	.	PUNCT
aijbe-50	209	1	729:138817	729:138817	X
aijbe-50	209	2	.	.	PUNCT
aijbe-50	210	1	doi	doi	NOUN
aijbe-50	210	2	:	:	PUNCT
aijbe-50	210	3	10.1016	10.1016	NUM
aijbe-50	210	4	/	/	SYM
aijbe-50	210	5	j.scitotenv.2020.138817	j.scitotenv.2020.138817	PROPN
aijbe-50	210	6	.	.	PUNCT
aijbe-50	211	1	duman	duman	PROPN
aijbe-50	211	2	,	,	PUNCT
aijbe-50	211	3	a.	a.	PROPN
aijbe-50	211	4	(	(	PUNCT
aijbe-50	211	5	2020	2020	NUM
aijbe-50	211	6	)	)	PUNCT
aijbe-50	211	7	.	.	PUNCT
aijbe-50	212	1	covid-19	covid-19	PROPN
aijbe-50	212	2	ile	ile	PROPN
aijbe-50	212	3	artan	artan	ADJ
aijbe-50	212	4	eşitsizlikler	eşitsizlikler	NOUN
aijbe-50	212	5	ve	ve	VERB
aijbe-50	212	6	yoksulluk	yoksulluk	NOUN
aijbe-50	212	7	.	.	PUNCT
aijbe-50	213	1	retrieved	retrieve	VERB
aijbe-50	213	2	from	from	ADP
aijbe-50	213	3	https://sarkac.org/2020/06/covid19-ile-artanesitsizlikler-ve-yoksulluk/	https://sarkac.org/2020/06/covid19-ile-artanesitsizlikler-ve-yoksulluk/	DET
aijbe-50	213	4	furtado	furtado	NOUN
aijbe-50	213	5	,	,	PUNCT
aijbe-50	213	6	p.	p.	PROPN
aijbe-50	213	7	,	,	PUNCT
aijbe-50	213	8	(	(	PUNCT
aijbe-50	213	9	2021	2021	NUM
aijbe-50	213	10	)	)	PUNCT
aijbe-50	213	11	.	.	PUNCT
aijbe-50	214	1	epidemiology	epidemiology	NOUN
aijbe-50	214	2	sir	sir	NOUN
aijbe-50	214	3	with	with	ADP
aijbe-50	214	4	regression	regression	NOUN
aijbe-50	214	5	,	,	PUNCT
aijbe-50	214	6	arima	arima	NOUN
aijbe-50	214	7	,	,	PUNCT
aijbe-50	214	8	and	and	CCONJ
aijbe-50	214	9	prophet	prophet	NOUN
aijbe-50	214	10	in	in	ADP
aijbe-50	214	11	forecasting	forecast	VERB
aijbe-50	214	12	covid-19	covid-19	PROPN
aijbe-50	214	13	.	.	PUNCT
aijbe-50	215	1	the	the	DET
aijbe-50	215	2	7th	7th	ADJ
aijbe-50	215	3	international	international	ADJ
aijbe-50	215	4	conference	conference	NOUN
aijbe-50	215	5	on	on	ADP
aijbe-50	215	6	time	time	NOUN
aijbe-50	215	7	series	series	NOUN
aijbe-50	215	8	and	and	CCONJ
aijbe-50	215	9	forecasting	forecasting	NOUN
aijbe-50	215	10	.	.	PUNCT
aijbe-50	216	1	mdpi	mdpi	PROPN
aijbe-50	216	2	.	.	PUNCT
aijbe-50	217	1	he	he	PRON
aijbe-50	217	2	,	,	PUNCT
aijbe-50	217	3	z.	z.	PROPN
aijbe-50	217	4	and	and	CCONJ
aijbe-50	217	5	tao	tao	PROPN
aijbe-50	217	6	,	,	PUNCT
aijbe-50	217	7	h.	h.	PROPN
aijbe-50	217	8	(	(	PUNCT
aijbe-50	217	9	2018	2018	NUM
aijbe-50	217	10	)	)	PUNCT
aijbe-50	217	11	.	.	PUNCT
aijbe-50	218	1	epidemiology	epidemiology	NOUN
aijbe-50	218	2	and	and	CCONJ
aijbe-50	218	3	arima	arima	PROPN
aijbe-50	218	4	model	model	NOUN
aijbe-50	218	5	of	of	ADP
aijbe-50	218	6	positive	positive	ADJ
aijbe-50	218	7	-	-	PUNCT
aijbe-50	218	8	rate	rate	NOUN
aijbe-50	218	9	of	of	ADP
aijbe-50	218	10	influenza	influenza	NOUN
aijbe-50	218	11	viruses	virus	NOUN
aijbe-50	218	12	among	among	ADP
aijbe-50	218	13	children	child	NOUN
aijbe-50	218	14	in	in	ADP
aijbe-50	218	15	wuhan	wuhan	PROPN
aijbe-50	218	16	,	,	PUNCT
aijbe-50	218	17	china	china	PROPN
aijbe-50	218	18	:	:	PUNCT
aijbe-50	218	19	a	a	DET
aijbe-50	218	20	nine	nine	NUM
aijbe-50	218	21	-	-	PUNCT
aijbe-50	218	22	year	year	NOUN
aijbe-50	218	23	retrospective	retrospective	ADJ
aijbe-50	218	24	study	study	NOUN
aijbe-50	218	25	.	.	PUNCT
aijbe-50	219	1	international	international	ADJ
aijbe-50	219	2	journal	journal	NOUN
aijbe-50	219	3	of	of	ADP
aijbe-50	219	4	infectious	infectious	ADJ
aijbe-50	219	5	diseases	disease	NOUN
aijbe-50	219	6	.	.	PUNCT
aijbe-50	220	1	74:61	74:61	NUM
aijbe-50	220	2	-	-	SYM
aijbe-50	220	3	70	70	NUM
aijbe-50	220	4	.	.	PUNCT
aijbe-50	220	5	doi	doi	NOUN
aijbe-50	220	6	:	:	PUNCT
aijbe-50	220	7	10.1016	10.1016	NUM
aijbe-50	220	8	/	/	SYM
aijbe-50	220	9	j.ijid.2018.07.003	j.ijid.2018.07.003	PROPN
aijbe-50	220	10	.	.	PUNCT
aijbe-50	221	1	imf	imf	PROPN
aijbe-50	221	2	.	.	PUNCT
aijbe-50	221	3	(	(	PUNCT
aijbe-50	221	4	2021	2021	NUM
aijbe-50	221	5	)	)	PUNCT
aijbe-50	221	6	.	.	PUNCT
aijbe-50	222	1	world	world	PROPN
aijbe-50	222	2	economic	economic	ADJ
aijbe-50	222	3	outlook	outlook	NOUN
aijbe-50	222	4	.	.	PUNCT
aijbe-50	223	1	imf	imf	PROPN
aijbe-50	223	2	.	.	PUNCT
aijbe-50	224	1	(	(	PUNCT
aijbe-50	224	2	2022	2022	NUM
aijbe-50	224	3	)	)	PUNCT
aijbe-50	224	4	.	.	PUNCT
aijbe-50	225	1	world	world	PROPN
aijbe-50	225	2	economic	economic	ADJ
aijbe-50	225	3	outlook	outlook	NOUN
aijbe-50	225	4	.	.	PUNCT
aijbe-50	226	1	ioannidis	ioannidi	NOUN
aijbe-50	226	2	,	,	PUNCT
aijbe-50	226	3	j.	j.	PROPN
aijbe-50	226	4	p.	p.	PROPN
aijbe-50	226	5	a.	a.	PROPN
aijbe-50	226	6	,	,	PUNCT
aijbe-50	226	7	sally	sally	PROPN
aijbe-50	226	8	c.	c.	PROPN
aijbe-50	226	9	,	,	PUNCT
aijbe-50	226	10	and	and	CCONJ
aijbe-50	226	11	martin	martin	PROPN
aijbe-50	226	12	a.	a.	NOUN
aijbe-50	226	13	t.	t.	PROPN
aijbe-50	226	14	(	(	PUNCT
aijbe-50	226	15	2022	2022	NUM
aijbe-50	226	16	)	)	PUNCT
aijbe-50	226	17	.	.	PUNCT
aijbe-50	227	1	forecasting	forecast	VERB
aijbe-50	227	2	for	for	ADP
aijbe-50	227	3	covid-19	covid-19	PROPN
aijbe-50	227	4	has	have	AUX
aijbe-50	227	5	failed	fail	VERB
aijbe-50	227	6	.	.	PUNCT
aijbe-50	228	1	international	international	ADJ
aijbe-50	228	2	journal	journal	PROPN
aijbe-50	228	3	of	of	ADP
aijbe-50	228	4	forecasting	forecasting	NOUN
aijbe-50	228	5	.	.	PUNCT
aijbe-50	229	1	38(2):423	38(2):423	NUM
aijbe-50	229	2	-	-	SYM
aijbe-50	229	3	38	38	NUM
aijbe-50	229	4	.	.	PUNCT
aijbe-50	230	1	doi	doi	NOUN
aijbe-50	230	2	:	:	PUNCT
aijbe-50	230	3	10.1016	10.1016	NUM
aijbe-50	230	4	/	/	SYM
aijbe-50	230	5	j.ijforecast.2020.08.004	j.ijforecast.2020.08.004	PROPN
aijbe-50	230	6	.	.	PROPN
aijbe-50	230	7	malik	malik	PROPN
aijbe-50	230	8	,	,	PUNCT
aijbe-50	230	9	m.	m.	NOUN
aijbe-50	230	10	i.	i.	PROPN
aijbe-50	230	11	(	(	PUNCT
aijbe-50	230	12	2020	2020	NUM
aijbe-50	230	13	)	)	PUNCT
aijbe-50	230	14	.	.	PUNCT
aijbe-50	231	1	analysis	analysis	NOUN
aijbe-50	231	2	and	and	CCONJ
aijbe-50	231	3	forecast	forecast	NOUN
aijbe-50	231	4	of	of	ADP
aijbe-50	231	5	covid-19	covid-19	PROPN
aijbe-50	231	6	pandemic	pandemic	ADJ
aijbe-50	231	7	in	in	ADP
aijbe-50	231	8	pakistan	pakistan	PROPN
aijbe-50	231	9	.	.	PUNCT
aijbe-50	232	1	medrxiv	medrxiv	PROPN
aijbe-50	232	2	.	.	PUNCT
aijbe-50	233	1	doi	doi	PROPN
aijbe-50	233	2	:	:	PUNCT
aijbe-50	233	3	10.1101/2020.06.24.20138800	10.1101/2020.06.24.20138800	NUM
aijbe-50	233	4	.	.	PUNCT
aijbe-50	234	1	prajapati	prajapati	PROPN
aijbe-50	234	2	,	,	PUNCT
aijbe-50	234	3	s.	s.	PROPN
aijbe-50	234	4	,	,	PUNCT
aijbe-50	234	5	swaraj	swaraj	PROPN
aijbe-50	234	6	,	,	PUNCT
aijbe-50	234	7	a.	a.	NOUN
aijbe-50	234	8	,	,	PUNCT
aijbe-50	234	9	lalwani	lalwani	PROPN
aijbe-50	234	10	,	,	PUNCT
aijbe-50	234	11	r.	r.	PROPN
aijbe-50	234	12	,	,	PUNCT
aijbe-50	234	13	narwal	narwal	PROPN
aijbe-50	234	14	,	,	PUNCT
aijbe-50	234	15	a.	a.	NOUN
aijbe-50	234	16	and	and	CCONJ
aijbe-50	234	17	verma	verma	PROPN
aijbe-50	234	18	,	,	PUNCT
aijbe-50	234	19	k.	k.	PROPN
aijbe-50	234	20	(	(	PUNCT
aijbe-50	234	21	2021	2021	NUM
aijbe-50	234	22	)	)	PUNCT
aijbe-50	234	23	.	.	PUNCT
aijbe-50	235	1	comparison	comparison	NOUN
aijbe-50	235	2	of	of	ADP
aijbe-50	235	3	traditional	traditional	ADJ
aijbe-50	235	4	and	and	CCONJ
aijbe-50	235	5	hybrid	hybrid	ADJ
aijbe-50	235	6	time	time	NOUN
aijbe-50	235	7	series	series	NOUN
aijbe-50	235	8	models	model	NOUN
aijbe-50	235	9	for	for	ADP
aijbe-50	235	10	forecasting	forecast	VERB
aijbe-50	235	11	covid-19	covid-19	PROPN
aijbe-50	235	12	cases	case	NOUN
aijbe-50	235	13	.	.	PUNCT
aijbe-50	236	1	arxiv	arxiv	PROPN
aijbe-50	236	2	.	.	PUNCT
aijbe-50	237	1	doi	doi	PROPN
aijbe-50	237	2	:	:	PUNCT
aijbe-50	237	3	https://doi.org/10.48550/arxiv.2105.03266	https://doi.org/10.48550/arxiv.2105.03266	PROPN
aijbe-50	237	4	.	.	PUNCT
aijbe-50	237	5	robson	robson	PROPN
aijbe-50	237	6	,	,	PUNCT
aijbe-50	237	7	w.	w.	PROPN
aijbe-50	237	8	(	(	PUNCT
aijbe-50	237	9	2019	2019	NUM
aijbe-50	237	10	)	)	PUNCT
aijbe-50	237	11	.	.	PUNCT
aijbe-50	238	1	the	the	DET
aijbe-50	238	2	math	math	NOUN
aijbe-50	238	3	of	of	ADP
aijbe-50	238	4	prophet	prophet	NOUN
aijbe-50	238	5	.	.	PUNCT
aijbe-50	238	6	retrieved	retrieve	VERB
aijbe-50	238	7	from	from	ADP
aijbe-50	238	8	https://medium.com/future-vision/the-math-ofprophet-46864fa9c55a	https://medium.com/future-vision/the-math-ofprophet-46864fa9c55a	PROPN
aijbe-50	238	9	.	.	PUNCT
aijbe-50	239	1	yeliz	yeliz	PROPN
aijbe-50	239	2	zoğal	zoğal	PROPN
aijbe-50	239	3	(	(	PUNCT
aijbe-50	239	4	2022	2022	NUM
aijbe-50	239	5	)	)	PUNCT
aijbe-50	239	6	17	17	NUM
aijbe-50	239	7	american	american	ADJ
aijbe-50	239	8	interdisciplinary	interdisciplinary	ADJ
aijbe-50	239	9	journal	journal	NOUN
aijbe-50	239	10	of	of	ADP
aijbe-50	239	11	business	business	NOUN
aijbe-50	239	12	and	and	CCONJ
aijbe-50	239	13	economics	economic	NOUN
aijbe-50	239	14	|	|	ADV
aijbe-50	239	15	https://sadipub.com/journals/index.php/aijbe	https://sadipub.com/journals/index.php/aijbe	X
aijbe-50	239	16	roubini	roubini	PROPN
aijbe-50	239	17	,	,	PUNCT
aijbe-50	239	18	n.	n.	NOUN
aijbe-50	239	19	(	(	PUNCT
aijbe-50	239	20	2020	2020	NUM
aijbe-50	239	21	)	)	PUNCT
aijbe-50	239	22	.	.	PUNCT
aijbe-50	240	1	a	a	DET
aijbe-50	240	2	greater	great	ADJ
aijbe-50	240	3	depression	depression	NOUN
aijbe-50	240	4	?	?	PUNCT
aijbe-50	240	5	.	.	PUNCT
aijbe-50	241	1	retrieved	retrieve	VERB
aijbe-50	241	2	from	from	ADP
aijbe-50	241	3	https://www.projectsyndicate.org/commentary/coronavirusgreater-great-depression-by-nouriel-roubini-2020-03	https://www.projectsyndicate.org/commentary/coronavirusgreater-great-depression-by-nouriel-roubini-2020-03	PROPN
aijbe-50	241	4	sah	sah	PROPN
aijbe-50	241	5	,	,	PUNCT
aijbe-50	241	6	s.	s.	PROPN
aijbe-50	241	7	,	,	PUNCT
aijbe-50	241	8	surendiran	surendiran	PROPN
aijbe-50	241	9	,	,	PUNCT
aijbe-50	241	10	b.	b.	PROPN
aijbe-50	241	11	,	,	PUNCT
aijbe-50	241	12	dhanalakshmi	dhanalakshmi	PROPN
aijbe-50	241	13	,	,	PUNCT
aijbe-50	241	14	r.	r.	PROPN
aijbe-50	241	15	,	,	PUNCT
aijbe-50	241	16	mohanty	mohanty	PROPN
aijbe-50	241	17	,	,	PUNCT
aijbe-50	241	18	s.	s.	PROPN
aijbe-50	241	19	n.	n.	PROPN
aijbe-50	241	20	,	,	PUNCT
aijbe-50	241	21	alenezi	alenezi	PROPN
aijbe-50	241	22	,	,	PUNCT
aijbe-50	241	23	f.	f.	PROPN
aijbe-50	241	24	and	and	CCONJ
aijbe-50	241	25	polat	polat	PROPN
aijbe-50	241	26	,	,	PUNCT
aijbe-50	241	27	k.	k.	PROPN
aijbe-50	241	28	(	(	PUNCT
aijbe-50	241	29	2022	2022	NUM
aijbe-50	241	30	)	)	PUNCT
aijbe-50	241	31	.	.	PUNCT
aijbe-50	242	1	forecasting	forecast	VERB
aijbe-50	242	2	covid-19	covid-19	PROPN
aijbe-50	242	3	pandemic	pandemic	ADJ
aijbe-50	242	4	using	use	VERB
aijbe-50	242	5	prophet	prophet	NOUN
aijbe-50	242	6	,	,	PUNCT
aijbe-50	242	7	arima	arima	PROPN
aijbe-50	242	8	,	,	PUNCT
aijbe-50	242	9	and	and	CCONJ
aijbe-50	242	10	hybrid	hybrid	ADJ
aijbe-50	242	11	stacked	stack	VERB
aijbe-50	242	12	lstm	lstm	PROPN
aijbe-50	242	13	-	-	PUNCT
aijbe-50	242	14	gru	gru	NOUN
aijbe-50	242	15	models	model	NOUN
aijbe-50	242	16	in	in	ADP
aijbe-50	242	17	india	india	PROPN
aijbe-50	242	18	.	.	PUNCT
aijbe-50	243	1	computational	computational	ADJ
aijbe-50	243	2	and	and	CCONJ
aijbe-50	243	3	mathematical	mathematical	ADJ
aijbe-50	243	4	methods	method	NOUN
aijbe-50	243	5	in	in	ADP
aijbe-50	243	6	medicine	medicine	NOUN
aijbe-50	243	7	.	.	PUNCT
aijbe-50	244	1	2022:1	2022:1	NUM
aijbe-50	244	2	sardar	sardar	PROPN
aijbe-50	244	3	,	,	PUNCT
aijbe-50	244	4	i.	i.	PROPN
aijbe-50	244	5	,	,	PUNCT
aijbe-50	244	6	muhammad	muhammad	PROPN
aijbe-50	244	7	a.	a.	PROPN
aijbe-50	244	8	a.	a.	PROPN
aijbe-50	244	9	,	,	PUNCT
aijbe-50	244	10	víctor	víctor	PROPN
aijbe-50	244	11	l.	l.	PROPN
aijbe-50	244	12	,	,	PUNCT
aijbe-50	244	13	ahmed	ahmed	PROPN
aijbe-50	244	14	a.	a.	PROPN
aijbe-50	244	15	and	and	CCONJ
aijbe-50	244	16	pradeep	pradeep	PROPN
aijbe-50	244	17	m.	m.	PROPN
aijbe-50	244	18	(	(	PUNCT
aijbe-50	244	19	2022	2022	NUM
aijbe-50	244	20	)	)	PUNCT
aijbe-50	244	21	.	.	PUNCT
aijbe-50	245	1	machine	machine	NOUN
aijbe-50	245	2	learning	learning	NOUN
aijbe-50	245	3	and	and	CCONJ
aijbe-50	245	4	automatic	automatic	ADJ
aijbe-50	245	5	arima	arima	PROPN
aijbe-50	245	6	/	/	SYM
aijbe-50	245	7	prophet	prophet	NOUN
aijbe-50	245	8	models	model	NOUN
aijbe-50	245	9	-	-	PUNCT
aijbe-50	245	10	based	base	VERB
aijbe-50	245	11	forecasting	forecasting	NOUN
aijbe-50	245	12	of	of	ADP
aijbe-50	245	13	covid-19	covid-19	PROPN
aijbe-50	245	14	:	:	PUNCT
aijbe-50	245	15	methodology	methodology	NOUN
aijbe-50	245	16	,	,	PUNCT
aijbe-50	245	17	evaluation	evaluation	NOUN
aijbe-50	245	18	,	,	PUNCT
aijbe-50	245	19	and	and	CCONJ
aijbe-50	245	20	case	case	NOUN
aijbe-50	245	21	study	study	NOUN
aijbe-50	245	22	in	in	ADP
aijbe-50	245	23	saarc	saarc	PROPN
aijbe-50	245	24	countries	country	NOUN
aijbe-50	245	25	.	.	PUNCT
aijbe-50	246	1	stochastic	stochastic	ADJ
aijbe-50	246	2	environmental	environmental	ADJ
aijbe-50	246	3	research	research	NOUN
aijbe-50	246	4	and	and	CCONJ
aijbe-50	246	5	risk	risk	NOUN
aijbe-50	246	6	assessment	assessment	NOUN
aijbe-50	246	7	.	.	PUNCT
aijbe-50	247	1	doi	doi	NOUN
aijbe-50	247	2	:	:	PUNCT
aijbe-50	247	3	10.1007	10.1007	NUM
aijbe-50	247	4	/	/	SYM
aijbe-50	247	5	s00477022	s00477022	NOUN
aijbe-50	247	6	-	-	PUNCT
aijbe-50	247	7	02307	02307	NUM
aijbe-50	247	8	-	-	PUNCT
aijbe-50	247	9	x.	x.	PROPN
aijbe-50	247	10	taylor	taylor	PROPN
aijbe-50	247	11	,	,	PUNCT
aijbe-50	247	12	s.	s.	PROPN
aijbe-50	247	13	j.	j.	PROPN
aijbe-50	247	14	and	and	CCONJ
aijbe-50	247	15	letham	letham	PROPN
aijbe-50	247	16	,	,	PUNCT
aijbe-50	247	17	b.	b.	PROPN
aijbe-50	247	18	(	(	PUNCT
aijbe-50	247	19	2018	2018	NUM
aijbe-50	247	20	)	)	PUNCT
aijbe-50	247	21	.	.	PUNCT
aijbe-50	248	1	forecasting	forecast	VERB
aijbe-50	248	2	at	at	ADP
aijbe-50	248	3	scale	scale	NOUN
aijbe-50	248	4	.	.	PUNCT
aijbe-50	249	1	the	the	DET
aijbe-50	249	2	american	american	PROPN
aijbe-50	249	3	statistician	statistician	PROPN
aijbe-50	249	4	72(1):37	72(1):37	PROPN
aijbe-50	249	5	-	-	PUNCT
aijbe-50	249	6	45	45	NUM
aijbe-50	249	7	.	.	PUNCT
aijbe-50	249	8	doi	doi	NOUN
aijbe-50	249	9	:	:	PUNCT
aijbe-50	249	10	10.1080/00031305.2017.1380080	10.1080/00031305.2017.1380080	NUM
aijbe-50	249	11	.	.	PUNCT
aijbe-50	249	12	viboud	viboud	ADJ
aijbe-50	249	13	,	,	PUNCT
aijbe-50	249	14	c.	c.	PROPN
aijbe-50	249	15	,	,	PUNCT
aijbe-50	249	16	lone	lone	PROPN
aijbe-50	249	17	s.	s.	PROPN
aijbe-50	249	18	,	,	PUNCT
aijbe-50	249	19	and	and	CCONJ
aijbe-50	249	20	chowell	chowell	PROPN
aijbe-50	249	21	,	,	PUNCT
aijbe-50	249	22	g.	g.	PROPN
aijbe-50	249	23	(	(	PUNCT
aijbe-50	249	24	2016	2016	NUM
aijbe-50	249	25	)	)	PUNCT
aijbe-50	249	26	.	.	PUNCT
aijbe-50	250	1	a	a	DET
aijbe-50	250	2	generalized	generalize	VERB
aijbe-50	250	3	-	-	PUNCT
aijbe-50	250	4	growth	growth	NOUN
aijbe-50	250	5	model	model	NOUN
aijbe-50	250	6	to	to	PART
aijbe-50	250	7	characterize	characterize	VERB
aijbe-50	250	8	the	the	DET
aijbe-50	250	9	early	early	ADJ
aijbe-50	250	10	ascending	ascend	VERB
aijbe-50	250	11	phase	phase	NOUN
aijbe-50	250	12	of	of	ADP
aijbe-50	250	13	infectious	infectious	ADJ
aijbe-50	250	14	disease	disease	NOUN
aijbe-50	250	15	outbreaks	outbreak	NOUN
aijbe-50	250	16	.	.	PUNCT
aijbe-50	251	1	epidemics	epidemic	NOUN
aijbe-50	251	2	.	.	PUNCT
aijbe-50	252	1	15:27	15:27	NUM
aijbe-50	252	2	-	-	SYM
aijbe-50	252	3	37	37	NUM
aijbe-50	252	4	.	.	PUNCT
aijbe-50	253	1	doi	doi	NOUN
aijbe-50	253	2	:	:	PUNCT
aijbe-50	253	3	10.1016	10.1016	NUM
aijbe-50	253	4	/	/	SYM
aijbe-50	253	5	j.epidem.2016.01.002	j.epidem.2016.01.002	PROPN
aijbe-50	253	6	.	.	PUNCT
aijbe-50	254	1	voyvoda	voyvoda	PROPN
aijbe-50	254	2	,	,	PUNCT
aijbe-50	254	3	e.	e.	PROPN
aijbe-50	254	4	,	,	PUNCT
aijbe-50	254	5	and	and	CCONJ
aijbe-50	254	6	yeldan	yeldan	PROPN
aijbe-50	254	7	,	,	PUNCT
aijbe-50	254	8	e.	e.	PROPN
aijbe-50	254	9	(	(	PUNCT
aijbe-50	254	10	2020	2020	NUM
aijbe-50	254	11	)	)	PUNCT
aijbe-50	254	12	.	.	PUNCT
aijbe-50	255	1	salgın	salgın	PROPN
aijbe-50	255	2	,	,	PUNCT
aijbe-50	255	3	türkiye	türkiye	PROPN
aijbe-50	255	4	ekonomisi	ekonomisi	VERB
aijbe-50	255	5	ve	ve	PROPN
aijbe-50	255	6	gerçekçi	gerçekçi	PROPN
aijbe-50	255	7	bir	bir	PROPN
aijbe-50	255	8	kamu	kamu	PROPN
aijbe-50	255	9	politikası	politikası	PROPN
aijbe-50	255	10	önerisi	önerisi	PROPN
aijbe-50	255	11	.	.	PUNCT
aijbe-50	256	1	retrieved	retrieve	VERB
aijbe-50	256	2	from	from	ADP
aijbe-50	256	3	https://sarkac.org/2020/06/salgin-turkiye-ekonomisi-ve-gercekci-bir-kamu-politikasionerisi/	https://sarkac.org/2020/06/salgin-turkiye-ekonomisi-ve-gercekci-bir-kamu-politikasionerisi/	PROPN
aijbe-50	256	4	wang	wang	PROPN
aijbe-50	256	5	,	,	PUNCT
aijbe-50	256	6	y.	y.	PROPN
aijbe-50	256	7	,	,	PUNCT
aijbe-50	256	8	zehui	zehui	PROPN
aijbe-50	256	9	y.	y.	PROPN
aijbe-50	256	10	,	,	PUNCT
aijbe-50	256	11	wang	wang	PROPN
aijbe-50	256	12	,	,	PUNCT
aijbe-50	256	13	d.	d.	PROPN
aijbe-50	256	14	,	,	PUNCT
aijbe-50	256	15	yang	yang	PROPN
aijbe-50	256	16	,	,	PUNCT
aijbe-50	256	17	m.	m.	NOUN
aijbe-50	256	18	,	,	PUNCT
aijbe-50	256	19	li	li	PROPN
aijbe-50	256	20	,	,	PUNCT
aijbe-50	256	21	z.	z.	PROPN
aijbe-50	256	22	,	,	PUNCT
aijbe-50	256	23	gong	gong	PROPN
aijbe-50	256	24	,	,	PUNCT
aijbe-50	256	25	x.	x.	PROPN
aijbe-50	256	26	,	,	PUNCT
aijbe-50	256	27	wu	wu	PROPN
aijbe-50	256	28	,	,	PUNCT
aijbe-50	256	29	d.	d.	PROPN
aijbe-50	256	30	,	,	PUNCT
aijbe-50	256	31	zhai	zhai	PROPN
aijbe-50	256	32	,	,	PUNCT
aijbe-50	256	33	l.	l.	PROPN
aijbe-50	256	34	,	,	PUNCT
aijbe-50	256	35	zhang	zhang	PROPN
aijbe-50	256	36	,	,	PUNCT
aijbe-50	256	37	w.	w.	PROPN
aijbe-50	256	38	and	and	CCONJ
aijbe-50	256	39	wang	wang	PROPN
aijbe-50	256	40	,	,	PUNCT
aijbe-50	256	41	y.	y.	PROPN
aijbe-50	256	42	(	(	PUNCT
aijbe-50	256	43	2022	2022	NUM
aijbe-50	256	44	)	)	PUNCT
aijbe-50	256	45	.	.	PUNCT
aijbe-50	257	1	prediction	prediction	NOUN
aijbe-50	257	2	and	and	CCONJ
aijbe-50	257	3	analysis	analysis	NOUN
aijbe-50	257	4	of	of	ADP
aijbe-50	257	5	covid-19	covid-19	PROPN
aijbe-50	257	6	daily	daily	ADJ
aijbe-50	257	7	new	new	ADJ
aijbe-50	257	8	cases	case	NOUN
aijbe-50	257	9	and	and	CCONJ
aijbe-50	257	10	cumulative	cumulative	ADJ
aijbe-50	257	11	cases	case	NOUN
aijbe-50	257	12	:	:	PUNCT
aijbe-50	257	13	times	times	PROPN
aijbe-50	257	14	series	series	PROPN
aijbe-50	257	15	forecasting	forecasting	NOUN
aijbe-50	257	16	and	and	CCONJ
aijbe-50	257	17	machine	machine	NOUN
aijbe-50	257	18	learning	learning	NOUN
aijbe-50	257	19	models	model	NOUN
aijbe-50	257	20	.	.	PUNCT
aijbe-50	258	1	bmc	bmc	VERB
aijbe-50	258	2	infectious	infectious	ADJ
aijbe-50	258	3	who	who	PRON
aijbe-50	258	4	.	.	PUNCT
aijbe-50	259	1	(	(	PUNCT
aijbe-50	259	2	2020	2020	NUM
aijbe-50	259	3	)	)	PUNCT
aijbe-50	259	4	.	.	PUNCT
aijbe-50	260	1	who	who	PRON
aijbe-50	260	2	director	director	NOUN
aijbe-50	260	3	-	-	PUNCT
aijbe-50	260	4	general	general	NOUN
aijbe-50	260	5	’s	’s	PART
aijbe-50	260	6	opening	opening	NOUN
aijbe-50	260	7	remarks	remark	NOUN
aijbe-50	260	8	at	at	ADP
aijbe-50	260	9	the	the	DET
aijbe-50	260	10	media	medium	NOUN
aijbe-50	260	11	briefing	briefing	NOUN
aijbe-50	260	12	on	on	ADP
aijbe-50	260	13	covid-19	covid-19	PROPN
aijbe-50	260	14	.	.	PUNCT
aijbe-50	260	15	retrieved	retrieve	VERB
aijbe-50	260	16	from	from	ADP
aijbe-50	260	17	https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarksat-the-media-briefing-oncovid-19-11-march-2020	https://www.who.int/director-general/speeches/detail/who-director-general-s-opening-remarksat-the-media-briefing-oncovid-19-11-march-2020	NOUN
aijbe-50	260	18	world	world	PROPN
aijbe-50	260	19	bank	bank	NOUN
aijbe-50	260	20	.	.	PUNCT
aijbe-50	261	1	(	(	PUNCT
aijbe-50	261	2	2020	2020	NUM
aijbe-50	261	3	)	)	PUNCT
aijbe-50	261	4	.	.	PUNCT
aijbe-50	262	1	projected	project	VERB
aijbe-50	262	2	poverty	poverty	NOUN
aijbe-50	262	3	impacts	impact	NOUN
aijbe-50	262	4	of	of	ADP
aijbe-50	262	5	covid-19	covid-19	PROPN
aijbe-50	262	6	(	(	PUNCT
aijbe-50	262	7	coronavirus	coronavirus	NOUN
aijbe-50	262	8	)	)	PUNCT
aijbe-50	262	9	.	.	PUNCT