id	sid	tid	token	lemma	pos
eajbcs-263	1	1	east	east	PROPN
eajbcs-263	1	2	east	east	PROPN
eajbcs-263	1	3	afr	afr	PROPN
eajbcs-263	1	4	.	.	PUNCT
eajbcs-263	2	1	j.	j.	PROPN
eajbcs-263	2	2	biophys	biophys	PROPN
eajbcs-263	2	3	.	.	PUNCT
eajbcs-263	3	1	comput	comput	NOUN
eajbcs-263	3	2	.	.	PUNCT
eajbcs-263	4	1	sci	sci	PROPN
eajbcs-263	4	2	.	.	PUNCT
eajbcs-263	4	3	(	(	PUNCT
eajbcs-263	4	4	2022	2022	NUM
eajbcs-263	4	5	)	)	PUNCT
eajbcs-263	4	6	,	,	PUNCT
eajbcs-263	4	7	vol	vol	NOUN
eajbcs-263	4	8	.	.	PROPN
eajbcs-263	4	9	3	3	NUM
eajbcs-263	4	10	,	,	PUNCT
eajbcs-263	4	11	issue	issue	NOUN
eajbcs-263	4	12	.	.	PUNCT
eajbcs-263	5	1	1	1	NUM
eajbcs-263	5	2	,	,	PUNCT
eajbcs-263	5	3	58	58	NUM
eajbcs-263	5	4	-	-	SYM
eajbcs-263	5	5	68	68	NUM
eajbcs-263	5	6	east	east	NOUN
eajbcs-263	5	7	*	*	PUNCT
eajbcs-263	5	8	corresponding	correspond	VERB
eajbcs-263	5	9	author	author	NOUN
eajbcs-263	5	10	:	:	PUNCT
eajbcs-263	5	11	email	email	NOUN
eajbcs-263	5	12	:	:	PUNCT
eajbcs-263	5	13	beshow.betela@gmail.com	beshow.betela@gmail.com	PROPN
eajbcs-263	5	14	,	,	PUNCT
eajbcs-263	5	15	+251	+251	DET
eajbcs-263	5	16	972691341	972691341	NUM
eajbcs-263	5	17	https://dx.doi.org/10.4314/eajbcs.v3i1.6s	https://dx.doi.org/10.4314/eajbcs.v3i1.6s	NOUN
eajbcs-263	5	18	analysing	analyse	VERB
eajbcs-263	5	19	covid-19	covid-19	PROPN
eajbcs-263	5	20	verified	verify	VERB
eajbcs-263	5	21	,	,	PUNCT
eajbcs-263	5	22	recuperate	recuperate	NOUN
eajbcs-263	5	23	and	and	CCONJ
eajbcs-263	5	24	death	death	NOUN
eajbcs-263	5	25	cases	case	NOUN
eajbcs-263	5	26	in	in	ADP
eajbcs-263	5	27	ethiopia	ethiopia	PROPN
eajbcs-263	5	28	using	use	VERB
eajbcs-263	5	29	arima	arima	PROPN
eajbcs-263	5	30	models	model	NOUN
eajbcs-263	5	31	birhanu	birhanu	PROPN
eajbcs-263	5	32	betela	betela	PROPN
eajbcs-263	5	33	warssamo	warssamo	PROPN
eajbcs-263	5	34	department	department	PROPN
eajbcs-263	5	35	of	of	ADP
eajbcs-263	5	36	statistics	statistic	NOUN
eajbcs-263	5	37	,	,	PUNCT
eajbcs-263	5	38	college	college	NOUN
eajbcs-263	5	39	of	of	ADP
eajbcs-263	5	40	natural	natural	ADJ
eajbcs-263	5	41	and	and	CCONJ
eajbcs-263	5	42	computational	computational	ADJ
eajbcs-263	5	43	sciences	science	NOUN
eajbcs-263	5	44	,	,	PUNCT
eajbcs-263	5	45	hawassa	hawassa	ADJ
eajbcs-263	5	46	university	university	NOUN
eajbcs-263	5	47	,	,	PUNCT
eajbcs-263	5	48	hawassa	hawassa	NOUN
eajbcs-263	5	49	,	,	PUNCT
eajbcs-263	5	50	ethiopia	ethiopia	PROPN
eajbcs-263	5	51	,	,	PUNCT
eajbcs-263	5	52	p.	p.	PROPN
eajbcs-263	5	53	o.	o.	PROPN
eajbcs-263	5	54	box	box	PROPN
eajbcs-263	5	55	:	:	PUNCT
eajbcs-263	6	1	05	05	NUM
eajbcs-263	6	2	keywords	keyword	NOUN
eajbcs-263	6	3	:	:	PUNCT
eajbcs-263	6	4	covid-19	covid-19	PROPN
eajbcs-263	6	5	cases	case	NOUN
eajbcs-263	6	6	;	;	PUNCT
eajbcs-263	6	7	days	day	NOUN
eajbcs-263	6	8	;	;	PUNCT
eajbcs-263	6	9	autoregressive	autoregressive	ADJ
eajbcs-263	6	10	integrated	integrated	ADJ
eajbcs-263	6	11	moving	move	VERB
eajbcs-263	6	12	average	average	ADJ
eajbcs-263	6	13	abstract	abstract	NOUN
eajbcs-263	6	14	applying	apply	VERB
eajbcs-263	6	15	a	a	DET
eajbcs-263	6	16	successful	successful	ADJ
eajbcs-263	6	17	prediction	prediction	NOUN
eajbcs-263	6	18	of	of	ADP
eajbcs-263	6	19	the	the	DET
eajbcs-263	6	20	confirmed	confirm	VERB
eajbcs-263	6	21	,	,	PUNCT
eajbcs-263	6	22	recovered	recovered	ADJ
eajbcs-263	6	23	and	and	CCONJ
eajbcs-263	6	24	deaths	death	NOUN
eajbcs-263	6	25	is	be	AUX
eajbcs-263	6	26	supposed	suppose	VERB
eajbcs-263	6	27	to	to	PART
eajbcs-263	6	28	be	be	AUX
eajbcs-263	6	29	the	the	DET
eajbcs-263	6	30	basic	basic	ADJ
eajbcs-263	6	31	requirement	requirement	NOUN
eajbcs-263	6	32	to	to	PART
eajbcs-263	6	33	successfully	successfully	ADV
eajbcs-263	6	34	control	control	VERB
eajbcs-263	6	35	the	the	DET
eajbcs-263	6	36	dissemination	dissemination	NOUN
eajbcs-263	6	37	rate	rate	NOUN
eajbcs-263	6	38	of	of	ADP
eajbcs-263	6	39	diseases	disease	NOUN
eajbcs-263	6	40	.	.	PUNCT
eajbcs-263	7	1	time	time	NOUN
eajbcs-263	7	2	series	series	PROPN
eajbcs-263	7	3	models	model	NOUN
eajbcs-263	7	4	have	have	AUX
eajbcs-263	7	5	widely	widely	ADV
eajbcs-263	7	6	been	be	AUX
eajbcs-263	7	7	considered	consider	VERB
eajbcs-263	7	8	as	as	ADP
eajbcs-263	7	9	the	the	DET
eajbcs-263	7	10	suitable	suitable	ADJ
eajbcs-263	7	11	methods	method	NOUN
eajbcs-263	7	12	to	to	PART
eajbcs-263	7	13	forecast	forecast	VERB
eajbcs-263	7	14	the	the	DET
eajbcs-263	7	15	confirmed	confirm	VERB
eajbcs-263	7	16	,	,	PUNCT
eajbcs-263	7	17	recovered	recovered	ADJ
eajbcs-263	7	18	and	and	CCONJ
eajbcs-263	7	19	deaths	death	NOUN
eajbcs-263	7	20	because	because	SCONJ
eajbcs-263	7	21	of	of	ADP
eajbcs-263	7	22	the	the	DET
eajbcs-263	7	23	virus	virus	NOUN
eajbcs-263	7	24	.	.	PUNCT
eajbcs-263	8	1	the	the	DET
eajbcs-263	8	2	objective	objective	NOUN
eajbcs-263	8	3	of	of	ADP
eajbcs-263	8	4	this	this	DET
eajbcs-263	8	5	research	research	NOUN
eajbcs-263	8	6	is	be	AUX
eajbcs-263	8	7	to	to	PART
eajbcs-263	8	8	apply	apply	VERB
eajbcs-263	8	9	the	the	DET
eajbcs-263	8	10	autoregressive	autoregressive	ADJ
eajbcs-263	8	11	integrated	integrated	ADJ
eajbcs-263	8	12	moving	move	VERB
eajbcs-263	8	13	average	average	ADJ
eajbcs-263	8	14	(	(	PUNCT
eajbcs-263	8	15	arima	arima	NOUN
eajbcs-263	8	16	)	)	PUNCT
eajbcs-263	8	17	modelling	model	VERB
eajbcs-263	8	18	approach	approach	NOUN
eajbcs-263	8	19	for	for	ADP
eajbcs-263	8	20	projecting	project	VERB
eajbcs-263	8	21	covid-19	covid-19	PROPN
eajbcs-263	8	22	confirmed	confirm	VERB
eajbcs-263	8	23	,	,	PUNCT
eajbcs-263	8	24	recovered	recovered	ADJ
eajbcs-263	8	25	and	and	CCONJ
eajbcs-263	8	26	deaths	death	NOUN
eajbcs-263	8	27	cases	case	NOUN
eajbcs-263	8	28	in	in	ADP
eajbcs-263	8	29	ethiopia	ethiopia	PROPN
eajbcs-263	8	30	.	.	PUNCT
eajbcs-263	9	1	over	over	ADP
eajbcs-263	9	2	strict	strict	ADJ
eajbcs-263	9	3	tracks	track	NOUN
eajbcs-263	9	4	of	of	ADP
eajbcs-263	9	5	all	all	DET
eajbcs-263	9	6	phase	phase	NOUN
eajbcs-263	9	7	of	of	ADP
eajbcs-263	9	8	box	box	NOUN
eajbcs-263	9	9	-	-	PUNCT
eajbcs-263	9	10	jenkins	jenkin	NOUN
eajbcs-263	9	11	strategy	strategy	NOUN
eajbcs-263	9	12	,	,	PUNCT
eajbcs-263	9	13	arima	arima	PROPN
eajbcs-263	9	14	(	(	PUNCT
eajbcs-263	9	15	1,1,1	1,1,1	NUM
eajbcs-263	9	16	)	)	PUNCT
eajbcs-263	9	17	,	,	PUNCT
eajbcs-263	9	18	arima	arima	PROPN
eajbcs-263	9	19	(	(	PUNCT
eajbcs-263	9	20	16,1,2	16,1,2	NOUN
eajbcs-263	9	21	)	)	PUNCT
eajbcs-263	9	22	and	and	CCONJ
eajbcs-263	9	23	arima	arima	PROPN
eajbcs-263	9	24	(	(	PUNCT
eajbcs-263	9	25	0,1,1	0,1,1	NOUN
eajbcs-263	9	26	)	)	PUNCT
eajbcs-263	9	27	models	model	NOUN
eajbcs-263	9	28	for	for	ADP
eajbcs-263	9	29	confirmed	confirm	VERB
eajbcs-263	9	30	case	case	NOUN
eajbcs-263	9	31	,	,	PUNCT
eajbcs-263	9	32	recovered	recovered	ADJ
eajbcs-263	9	33	and	and	CCONJ
eajbcs-263	9	34	death	death	NOUN
eajbcs-263	9	35	case	case	NOUN
eajbcs-263	9	36	,	,	PUNCT
eajbcs-263	9	37	respectively	respectively	ADV
eajbcs-263	9	38	were	be	AUX
eajbcs-263	9	39	selected	select	VERB
eajbcs-263	9	40	as	as	ADP
eajbcs-263	9	41	the	the	DET
eajbcs-263	9	42	most	most	ADV
eajbcs-263	9	43	appropriate	appropriate	ADJ
eajbcs-263	9	44	models	model	NOUN
eajbcs-263	9	45	for	for	ADP
eajbcs-263	9	46	predicting	predict	VERB
eajbcs-263	9	47	corona	corona	PROPN
eajbcs-263	9	48	virus	virus	NOUN
eajbcs-263	9	49	cases	case	NOUN
eajbcs-263	9	50	of	of	ADP
eajbcs-263	9	51	ethiopia	ethiopia	PROPN
eajbcs-263	9	52	.	.	PUNCT
eajbcs-263	10	1	using	use	VERB
eajbcs-263	10	2	these	these	DET
eajbcs-263	10	3	models	model	NOUN
eajbcs-263	10	4	,	,	PUNCT
eajbcs-263	10	5	a	a	DET
eajbcs-263	10	6	predictions	prediction	NOUN
eajbcs-263	10	7	of	of	ADP
eajbcs-263	10	8	five	five	NUM
eajbcs-263	10	9	month	month	NOUN
eajbcs-263	10	10	a	a	DET
eajbcs-263	10	11	heads	head	NOUN
eajbcs-263	10	12	future	future	ADJ
eajbcs-263	10	13	situation	situation	NOUN
eajbcs-263	10	14	of	of	ADP
eajbcs-263	10	15	covid-19	covid-19	PROPN
eajbcs-263	10	16	confirmed	confirm	VERB
eajbcs-263	10	17	case	case	NOUN
eajbcs-263	10	18	,	,	PUNCT
eajbcs-263	10	19	recovered	recovered	ADJ
eajbcs-263	10	20	and	and	CCONJ
eajbcs-263	10	21	death	death	NOUN
eajbcs-263	10	22	case	case	NOUN
eajbcs-263	10	23	(	(	PUNCT
eajbcs-263	10	24	jan	jan	PROPN
eajbcs-263	10	25	3	3	NUM
eajbcs-263	10	26	,	,	PUNCT
eajbcs-263	10	27	2021	2021	NUM
eajbcs-263	10	28	to	to	PART
eajbcs-263	10	29	may	may	PROPN
eajbcs-263	10	30	3	3	NUM
eajbcs-263	10	31	,	,	PUNCT
eajbcs-263	10	32	2021	2021	NUM
eajbcs-263	10	33	)	)	PUNCT
eajbcs-263	10	34	has	have	AUX
eajbcs-263	10	35	made	make	VERB
eajbcs-263	10	36	.	.	PUNCT
eajbcs-263	11	1	the	the	DET
eajbcs-263	11	2	results	result	NOUN
eajbcs-263	11	3	showed	show	VERB
eajbcs-263	11	4	that	that	SCONJ
eajbcs-263	11	5	in	in	ADP
eajbcs-263	11	6	the	the	DET
eajbcs-263	11	7	coming	come	VERB
eajbcs-263	11	8	five	five	NUM
eajbcs-263	11	9	months	month	NOUN
eajbcs-263	11	10	from	from	ADP
eajbcs-263	11	11	jan	jan	PROPN
eajbcs-263	11	12	3	3	NUM
eajbcs-263	11	13	,	,	PUNCT
eajbcs-263	11	14	2020	2020	NUM
eajbcs-263	11	15	to	to	PART
eajbcs-263	11	16	may	may	PROPN
eajbcs-263	11	17	3	3	NUM
eajbcs-263	11	18	,	,	PUNCT
eajbcs-263	11	19	2021	2021	NUM
eajbcs-263	11	20	,	,	PUNCT
eajbcs-263	11	21	the	the	DET
eajbcs-263	11	22	number	number	NOUN
eajbcs-263	11	23	of	of	ADP
eajbcs-263	11	24	covid-19	covid-19	PROPN
eajbcs-263	11	25	confirmed	confirm	VERB
eajbcs-263	11	26	,	,	PUNCT
eajbcs-263	11	27	recuperated	recuperated	ADJ
eajbcs-263	11	28	and	and	CCONJ
eajbcs-263	11	29	deaths	death	NOUN
eajbcs-263	11	30	cases	case	NOUN
eajbcs-263	11	31	in	in	ADP
eajbcs-263	11	32	ethiopia	ethiopia	PROPN
eajbcs-263	11	33	may	may	AUX
eajbcs-263	11	34	reach	reach	VERB
eajbcs-263	11	35	up	up	ADP
eajbcs-263	11	36	to	to	ADP
eajbcs-263	11	37	320,597	320,597	NUM
eajbcs-263	11	38	;	;	PUNCT
eajbcs-263	11	39	168,912	168,912	NUM
eajbcs-263	11	40	and	and	CCONJ
eajbcs-263	11	41	4438	4438	NUM
eajbcs-263	11	42	,	,	PUNCT
eajbcs-263	11	43	respectively	respectively	ADV
eajbcs-263	11	44	.	.	PUNCT
eajbcs-263	12	1	by	by	ADP
eajbcs-263	12	2	and	and	CCONJ
eajbcs-263	12	3	large	large	ADJ
eajbcs-263	12	4	,	,	PUNCT
eajbcs-263	12	5	the	the	DET
eajbcs-263	12	6	size	size	NOUN
eajbcs-263	12	7	of	of	ADP
eajbcs-263	12	8	the	the	DET
eajbcs-263	12	9	corona	corona	PROPN
eajbcs-263	12	10	virus	virus	NOUN
eajbcs-263	12	11	distribution	distribution	NOUN
eajbcs-263	12	12	was	be	AUX
eajbcs-263	12	13	increased	increase	VERB
eajbcs-263	12	14	from	from	ADP
eajbcs-263	12	15	time	time	NOUN
eajbcs-263	12	16	to	to	ADP
eajbcs-263	12	17	time	time	NOUN
eajbcs-263	12	18	in	in	ADP
eajbcs-263	12	19	the	the	DET
eajbcs-263	12	20	past	past	ADJ
eajbcs-263	12	21	ten	ten	NUM
eajbcs-263	12	22	month	month	NOUN
eajbcs-263	12	23	,	,	PUNCT
eajbcs-263	12	24	until	until	ADP
eajbcs-263	12	25	3rd	3rd	PROPN
eajbcs-263	12	26	jan	jan	PROPN
eajbcs-263	12	27	,	,	PUNCT
eajbcs-263	12	28	2021	2021	NUM
eajbcs-263	12	29	,	,	PUNCT
eajbcs-263	12	30	and	and	CCONJ
eajbcs-263	12	31	it	it	PRON
eajbcs-263	12	32	is	be	AUX
eajbcs-263	12	33	anticipated	anticipate	VERB
eajbcs-263	12	34	to	to	PART
eajbcs-263	12	35	continue	continue	VERB
eajbcs-263	12	36	faster	fast	ADV
eajbcs-263	12	37	than	than	ADP
eajbcs-263	12	38	before	before	ADV
eajbcs-263	12	39	for	for	ADP
eajbcs-263	12	40	the	the	DET
eajbcs-263	12	41	coming	come	VERB
eajbcs-263	12	42	5	5	NUM
eajbcs-263	12	43	-	-	PUNCT
eajbcs-263	12	44	months	month	NOUN
eajbcs-263	12	45	,	,	PUNCT
eajbcs-263	12	46	until	until	ADP
eajbcs-263	12	47	the	the	DET
eajbcs-263	12	48	end	end	NOUN
eajbcs-263	12	49	of	of	ADP
eajbcs-263	12	50	may	may	PROPN
eajbcs-263	12	51	,	,	PUNCT
eajbcs-263	12	52	2021	2021	NUM
eajbcs-263	12	53	,	,	PUNCT
eajbcs-263	12	54	in	in	ADP
eajbcs-263	12	55	ethiopia	ethiopia	PROPN
eajbcs-263	12	56	and	and	CCONJ
eajbcs-263	12	57	more	more	ADV
eajbcs-263	12	58	rapidly	rapidly	ADV
eajbcs-263	12	59	than	than	ADP
eajbcs-263	12	60	before	before	ADP
eajbcs-263	12	61	while	while	SCONJ
eajbcs-263	12	62	the	the	DET
eajbcs-263	12	63	peak	peak	NOUN
eajbcs-263	12	64	will	will	AUX
eajbcs-263	12	65	remain	remain	VERB
eajbcs-263	12	66	unknown	unknown	ADJ
eajbcs-263	12	67	yet	yet	ADV
eajbcs-263	12	68	.	.	PUNCT
eajbcs-263	13	1	therefore	therefore	ADV
eajbcs-263	13	2	,	,	PUNCT
eajbcs-263	13	3	an	an	DET
eajbcs-263	13	4	effective	effective	ADJ
eajbcs-263	13	5	execution	execution	NOUN
eajbcs-263	13	6	of	of	ADP
eajbcs-263	13	7	the	the	DET
eajbcs-263	13	8	precautionary	precautionary	ADJ
eajbcs-263	13	9	measures	measure	NOUN
eajbcs-263	13	10	and	and	CCONJ
eajbcs-263	13	11	a	a	DET
eajbcs-263	13	12	rigorous	rigorous	ADJ
eajbcs-263	13	13	compliance	compliance	NOUN
eajbcs-263	13	14	by	by	ADP
eajbcs-263	13	15	circumventing	circumvent	VERB
eajbcs-263	13	16	carelessness	carelessness	NOUN
eajbcs-263	13	17	with	with	ADP
eajbcs-263	13	18	the	the	DET
eajbcs-263	13	19	rules	rule	NOUN
eajbcs-263	13	20	such	such	ADJ
eajbcs-263	13	21	as	as	ADP
eajbcs-263	13	22	prohibiting	prohibit	VERB
eajbcs-263	13	23	public	public	ADJ
eajbcs-263	13	24	congregations	congregation	NOUN
eajbcs-263	13	25	,	,	PUNCT
eajbcs-263	13	26	travel	travel	NOUN
eajbcs-263	13	27	restrictions	restriction	NOUN
eajbcs-263	13	28	,	,	PUNCT
eajbcs-263	13	29	social	social	ADJ
eajbcs-263	13	30	distancing	distancing	NOUN
eajbcs-263	13	31	,	,	PUNCT
eajbcs-263	13	32	and	and	CCONJ
eajbcs-263	13	33	strict	strict	ADJ
eajbcs-263	13	34	use	use	NOUN
eajbcs-263	13	35	of	of	ADP
eajbcs-263	13	36	personal	personal	ADJ
eajbcs-263	13	37	protection	protection	NOUN
eajbcs-263	13	38	measures	measure	NOUN
eajbcs-263	13	39	may	may	AUX
eajbcs-263	13	40	improve	improve	VERB
eajbcs-263	13	41	the	the	DET
eajbcs-263	13	42	dissemination	dissemination	NOUN
eajbcs-263	13	43	rates	rate	NOUN
eajbcs-263	13	44	of	of	ADP
eajbcs-263	13	45	the	the	DET
eajbcs-263	13	46	virus	virus	NOUN
eajbcs-263	13	47	.	.	PUNCT
eajbcs-263	14	1	further	far	ADV
eajbcs-263	14	2	,	,	PUNCT
eajbcs-263	14	3	through	through	ADP
eajbcs-263	14	4	updating	update	VERB
eajbcs-263	14	5	more	more	ADJ
eajbcs-263	14	6	new	new	ADJ
eajbcs-263	14	7	data	datum	NOUN
eajbcs-263	14	8	with	with	ADP
eajbcs-263	14	9	constant	constant	ADJ
eajbcs-263	14	10	reconsideration	reconsideration	NOUN
eajbcs-263	14	11	of	of	ADP
eajbcs-263	14	12	predictive	predictive	ADJ
eajbcs-263	14	13	model	model	NOUN
eajbcs-263	14	14	provide	provide	VERB
eajbcs-263	14	15	useful	useful	ADJ
eajbcs-263	14	16	and	and	CCONJ
eajbcs-263	14	17	more	more	ADV
eajbcs-263	14	18	accurate	accurate	ADJ
eajbcs-263	14	19	prediction	prediction	NOUN
eajbcs-263	14	20	introduction	introduction	NOUN
eajbcs-263	14	21	the	the	DET
eajbcs-263	14	22	primary	primary	ADJ
eajbcs-263	14	23	event	event	NOUN
eajbcs-263	14	24	of	of	ADP
eajbcs-263	14	25	corona	corona	PROPN
eajbcs-263	14	26	virus	virus	NOUN
eajbcs-263	14	27	(	(	PUNCT
eajbcs-263	14	28	covid-19	covid-19	PROPN
eajbcs-263	14	29	)	)	PUNCT
eajbcs-263	14	30	eruption	eruption	NOUN
eajbcs-263	14	31	was	be	AUX
eajbcs-263	14	32	informed	inform	VERB
eajbcs-263	14	33	on	on	ADP
eajbcs-263	14	34	december	december	PROPN
eajbcs-263	14	35	31	31	NUM
eajbcs-263	14	36	,	,	PUNCT
eajbcs-263	14	37	2019	2019	NUM
eajbcs-263	14	38	in	in	ADP
eajbcs-263	14	39	wuhan	wuhan	PROPN
eajbcs-263	14	40	and	and	CCONJ
eajbcs-263	14	41	then	then	ADV
eajbcs-263	14	42	,	,	PUNCT
eajbcs-263	14	43	it	it	PRON
eajbcs-263	14	44	has	have	AUX
eajbcs-263	14	45	been	be	AUX
eajbcs-263	14	46	put	put	VERB
eajbcs-263	14	47	across	across	ADP
eajbcs-263	14	48	the	the	DET
eajbcs-263	14	49	universal	universal	ADJ
eajbcs-263	14	50	deadly	deadly	ADJ
eajbcs-263	14	51	disease	disease	NOUN
eajbcs-263	14	52	owning	own	VERB
eajbcs-263	14	53	harsh	harsh	ADJ
eajbcs-263	14	54	new	new	ADJ
eajbcs-263	14	55	type	type	NOUN
eajbcs-263	14	56	of	of	ADP
eajbcs-263	14	57	hazard	hazard	NOUN
eajbcs-263	14	58	to	to	ADP
eajbcs-263	14	59	individual	individual	ADJ
eajbcs-263	14	60	vigour	vigour	NOUN
eajbcs-263	14	61	and	and	CCONJ
eajbcs-263	14	62	life	life	NOUN
eajbcs-263	14	63	in	in	ADP
eajbcs-263	14	64	a	a	DET
eajbcs-263	14	65	continues	continue	NOUN
eajbcs-263	14	66	way	way	NOUN
eajbcs-263	14	67	.	.	PUNCT
eajbcs-263	15	1	according	accord	VERB
eajbcs-263	15	2	to	to	ADP
eajbcs-263	15	3	world	world	PROPN
eajbcs-263	15	4	health	health	NOUN
eajbcs-263	15	5	organization	organization	NOUN
eajbcs-263	15	6	(	(	PUNCT
eajbcs-263	15	7	2020	2020	NUM
eajbcs-263	15	8	)	)	PUNCT
eajbcs-263	15	9	,	,	PUNCT
eajbcs-263	15	10	more	more	ADJ
eajbcs-263	15	11	than	than	ADP
eajbcs-263	15	12	135,045	135,045	NUM
eajbcs-263	15	13	covid-19	covid-19	PROPN
eajbcs-263	15	14	cases	case	NOUN
eajbcs-263	15	15	,	,	PUNCT
eajbcs-263	15	16	2,083	2,083	NUM
eajbcs-263	15	17	deaths	death	NOUN
eajbcs-263	15	18	,	,	PUNCT
eajbcs-263	15	19	and	and	CCONJ
eajbcs-263	15	20	121,594	121,594	NUM
eajbcs-263	15	21	recoveries	recovery	NOUN
eajbcs-263	15	22	have	have	AUX
eajbcs-263	15	23	been	be	AUX
eajbcs-263	15	24	reported	report	VERB
eajbcs-263	15	25	in	in	ADP
eajbcs-263	15	26	ethiopia	ethiopia	PROPN
eajbcs-263	15	27	and	and	CCONJ
eajbcs-263	15	28	101,483,628	101,483,628	NUM
eajbcs-263	15	29	cocid-19	cocid-19	PROPN
eajbcs-263	15	30	cases	case	NOUN
eajbcs-263	15	31	,	,	PUNCT
eajbcs-263	15	32	2,185,413	2,185,413	NUM
eajbcs-263	15	33	deaths	death	NOUN
eajbcs-263	15	34	and	and	CCONJ
eajbcs-263	15	35	73,386,329	73,386,329	NUM
eajbcs-263	15	36	recoveries	recovery	NOUN
eajbcs-263	15	37	and	and	CCONJ
eajbcs-263	15	38	25,908,918	25,908,918	NUM
eajbcs-263	15	39	active	active	ADJ
eajbcs-263	15	40	cases	case	NOUN
eajbcs-263	15	41	among	among	ADP
eajbcs-263	15	42	these	these	DET
eajbcs-263	15	43	25,801,597(99.6	25,801,597(99.6	NUM
eajbcs-263	15	44	%	%	NOUN
eajbcs-263	15	45	)	)	PUNCT
eajbcs-263	15	46	in	in	ADP
eajbcs-263	15	47	east	east	ADJ
eajbcs-263	15	48	african	african	ADJ
eajbcs-263	15	49	journal	journal	NOUN
eajbcs-263	15	50	of	of	ADP
eajbcs-263	15	51	biophysical	biophysical	ADJ
eajbcs-263	15	52	and	and	CCONJ
eajbcs-263	15	53	computational	computational	ADJ
eajbcs-263	15	54	sciences	sciences	PROPN
eajbcs-263	15	55	journal	journal	PROPN
eajbcs-263	15	56	homepage	homepage	NOUN
eajbcs-263	15	57	:	:	PUNCT
eajbcs-263	15	58	https://journals.hu.edu.et/hu-journals/index.php/eajbcs	https://journals.hu.edu.et/hu-journals/index.php/eajbcs	NOUN
eajbcs-263	15	59	hawassa	hawassa	PROPN
eajbcs-263	15	60	university	university	PROPN
eajbcs-263	15	61	college	college	NOUN
eajbcs-263	15	62	of	of	ADP
eajbcs-263	15	63	natural	natural	ADJ
eajbcs-263	15	64	&	&	CCONJ
eajbcs-263	15	65	computational	computational	ADJ
eajbcs-263	15	66	sciences	sciences	PROPN
eajbcs-263	15	67	year	year	NOUN
eajbcs-263	15	68	2021	2021	NUM
eajbcs-263	15	69	volume	volume	NOUN
eajbcs-263	15	70	xx	xx	NUM
eajbcs-263	16	1	no	no	DET
eajbcs-263	16	2	xx	xx	NUM
eajbcs-263	16	3	research	research	NOUN
eajbcs-263	16	4	article	article	NOUN
eajbcs-263	16	5	file:///d:/eajbcs	file:///d:/eajbcs	PROPN
eajbcs-263	16	6	/	/	SYM
eajbcs-263	16	7	birhanu%20betela	birhanu%20betela	PROPN
eajbcs-263	16	8	/	/	SYM
eajbcs-263	16	9	bes	bes	PROPN
eajbcs-263	16	10	https://dx.doi.org/10.4314/eajbcs.v3i1.6s	https://dx.doi.org/10.4314/eajbcs.v3i1.6s	PROPN
eajbcs-263	16	11	east	east	PROPN
eajbcs-263	16	12	afr	afr	PROPN
eajbcs-263	16	13	.	.	PUNCT
eajbcs-263	17	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	17	2	.	.	PUNCT
eajbcs-263	18	1	sci	sci	PROPN
eajbcs-263	18	2	.	.	PUNCT
eajbcs-263	19	1	(	(	PUNCT
eajbcs-263	19	2	2022	2022	NUM
eajbcs-263	19	3	)	)	PUNCT
eajbcs-263	19	4	,	,	PUNCT
eajbcs-263	19	5	vol	vol	NOUN
eajbcs-263	19	6	.	.	PROPN
eajbcs-263	20	1	3	3	NUM
eajbcs-263	20	2	,	,	PUNCT
eajbcs-263	20	3	no	no	INTJ
eajbcs-263	20	4	.	.	NOUN
eajbcs-263	20	5	1	1	NUM
eajbcs-263	20	6	,	,	PUNCT
eajbcs-263	20	7	58	58	NUM
eajbcs-263	20	8	-	-	SYM
eajbcs-263	20	9	68	68	NUM
eajbcs-263	20	10	59	59	NUM
eajbcs-263	20	11	mild	mild	ADJ
eajbcs-263	20	12	condition	condition	NOUN
eajbcs-263	20	13	and	and	CCONJ
eajbcs-263	20	14	110,289(0.4	110,289(0.4	NUM
eajbcs-263	20	15	%	%	NOUN
eajbcs-263	20	16	)	)	PUNCT
eajbcs-263	20	17	series	series	NOUN
eajbcs-263	20	18	or	or	CCONJ
eajbcs-263	20	19	critical	critical	ADJ
eajbcs-263	20	20	cases	case	NOUN
eajbcs-263	20	21	and	and	CCONJ
eajbcs-263	20	22	73,386,329	73,386,329	NUM
eajbcs-263	20	23	(	(	PUNCT
eajbcs-263	20	24	97	97	NUM
eajbcs-263	20	25	%	%	NOUN
eajbcs-263	20	26	)	)	PUNCT
eajbcs-263	20	27	are	be	AUX
eajbcs-263	20	28	recovered	recover	VERB
eajbcs-263	20	29	and	and	CCONJ
eajbcs-263	20	30	2,185,413(3	2,185,413(3	NUM
eajbcs-263	20	31	%	%	NOUN
eajbcs-263	20	32	)	)	PUNCT
eajbcs-263	20	33	are	be	AUX
eajbcs-263	20	34	dead	dead	ADJ
eajbcs-263	20	35	across	across	ADP
eajbcs-263	20	36	the	the	DET
eajbcs-263	20	37	globe	globe	NOUN
eajbcs-263	20	38	during	during	ADP
eajbcs-263	20	39	the	the	DET
eajbcs-263	20	40	study	study	NOUN
eajbcs-263	20	41	period	period	NOUN
eajbcs-263	20	42	(	(	PUNCT
eajbcs-263	20	43	who	who	PRON
eajbcs-263	20	44	,	,	PUNCT
eajbcs-263	20	45	2020	2020	NUM
eajbcs-263	20	46	)	)	PUNCT
eajbcs-263	20	47	.	.	PUNCT
eajbcs-263	21	1	the	the	DET
eajbcs-263	21	2	quantity	quantity	NOUN
eajbcs-263	21	3	of	of	ADP
eajbcs-263	21	4	covid-19	covid-19	PROPN
eajbcs-263	21	5	cases	case	NOUN
eajbcs-263	21	6	rapidly	rapidly	ADV
eajbcs-263	21	7	goes	go	VERB
eajbcs-263	21	8	up	up	ADP
eajbcs-263	21	9	in	in	ADP
eajbcs-263	21	10	mid	mid	PROPN
eajbcs-263	21	11	-	-	NOUN
eajbcs-263	21	12	january	january	PROPN
eajbcs-263	21	13	,	,	PUNCT
eajbcs-263	21	14	and	and	CCONJ
eajbcs-263	21	15	the	the	DET
eajbcs-263	21	16	infection	infection	NOUN
eajbcs-263	21	17	quickly	quickly	ADV
eajbcs-263	21	18	blowout	blowout	VERB
eajbcs-263	21	19	beyond	beyond	ADP
eajbcs-263	21	20	china	china	PROPN
eajbcs-263	21	21	’s	’s	PART
eajbcs-263	21	22	boundaries	boundary	NOUN
eajbcs-263	21	23	.	.	PUNCT
eajbcs-263	22	1	as	as	ADP
eajbcs-263	22	2	of	of	ADP
eajbcs-263	22	3	this	this	DET
eajbcs-263	22	4	research	research	NOUN
eajbcs-263	22	5	,	,	PUNCT
eajbcs-263	22	6	it	it	PRON
eajbcs-263	22	7	has	have	AUX
eajbcs-263	22	8	extended	extend	VERB
eajbcs-263	22	9	to	to	ADP
eajbcs-263	22	10	219	219	NUM
eajbcs-263	22	11	countries	country	NOUN
eajbcs-263	22	12	all	all	ADV
eajbcs-263	22	13	over	over	ADP
eajbcs-263	22	14	the	the	DET
eajbcs-263	22	15	globe	globe	NOUN
eajbcs-263	22	16	(	(	PUNCT
eajbcs-263	22	17	who	who	PRON
eajbcs-263	22	18	,	,	PUNCT
eajbcs-263	22	19	2019	2019	NUM
eajbcs-263	22	20	)	)	PUNCT
eajbcs-263	22	21	.	.	PUNCT
eajbcs-263	23	1	despite	despite	SCONJ
eajbcs-263	23	2	broadening	broaden	VERB
eajbcs-263	23	3	covid-19	covid-19	PROPN
eajbcs-263	23	4	influences	influence	NOUN
eajbcs-263	23	5	,	,	PUNCT
eajbcs-263	23	6	there	there	PRON
eajbcs-263	23	7	are	be	VERB
eajbcs-263	23	8	key	key	ADJ
eajbcs-263	23	9	public	public	ADJ
eajbcs-263	23	10	health	health	NOUN
eajbcs-263	23	11	questions	question	NOUN
eajbcs-263	23	12	.	.	PUNCT
eajbcs-263	24	1	how	how	SCONJ
eajbcs-263	24	2	many	many	ADJ
eajbcs-263	24	3	individuals	individual	NOUN
eajbcs-263	24	4	will	will	AUX
eajbcs-263	24	5	be	be	AUX
eajbcs-263	24	6	diseased	disease	VERB
eajbcs-263	24	7	?	?	PUNCT
eajbcs-263	25	1	how	how	SCONJ
eajbcs-263	25	2	does	do	AUX
eajbcs-263	25	3	the	the	DET
eajbcs-263	25	4	condition	condition	NOUN
eajbcs-263	25	5	vary	vary	VERB
eajbcs-263	25	6	day	day	NOUN
eajbcs-263	25	7	by	by	ADP
eajbcs-263	25	8	day	day	NOUN
eajbcs-263	25	9	?	?	PUNCT
eajbcs-263	26	1	how	how	SCONJ
eajbcs-263	26	2	many	many	ADJ
eajbcs-263	26	3	individuals	individual	NOUN
eajbcs-263	26	4	will	will	AUX
eajbcs-263	26	5	die	die	VERB
eajbcs-263	26	6	?	?	PUNCT
eajbcs-263	27	1	these	these	DET
eajbcs-263	27	2	inquiries	inquiry	NOUN
eajbcs-263	27	3	could	could	AUX
eajbcs-263	27	4	be	be	AUX
eajbcs-263	27	5	re	re	VERB
eajbcs-263	27	6	-	-	VERB
eajbcs-263	27	7	joined	join	VERB
eajbcs-263	27	8	by	by	ADP
eajbcs-263	27	9	predicting	predict	VERB
eajbcs-263	27	10	the	the	DET
eajbcs-263	27	11	possible	possible	ADJ
eajbcs-263	27	12	futures	future	NOUN
eajbcs-263	27	13	of	of	ADP
eajbcs-263	27	14	this	this	DET
eajbcs-263	27	15	contagion	contagion	NOUN
eajbcs-263	27	16	via	via	ADP
eajbcs-263	27	17	time	time	NOUN
eajbcs-263	27	18	series	series	PROPN
eajbcs-263	27	19	models	model	NOUN
eajbcs-263	27	20	.	.	PUNCT
eajbcs-263	28	1	however	however	ADV
eajbcs-263	28	2	,	,	PUNCT
eajbcs-263	28	3	broadly	broadly	ADV
eajbcs-263	28	4	used	use	VERB
eajbcs-263	28	5	time	time	NOUN
eajbcs-263	28	6	series	series	NOUN
eajbcs-263	28	7	models	model	NOUN
eajbcs-263	28	8	and	and	CCONJ
eajbcs-263	28	9	tools	tool	NOUN
eajbcs-263	28	10	do	do	AUX
eajbcs-263	28	11	not	not	PART
eajbcs-263	28	12	essentially	essentially	ADV
eajbcs-263	28	13	have	have	VERB
eajbcs-263	28	14	high	high	ADJ
eajbcs-263	28	15	forecasting	forecasting	NOUN
eajbcs-263	28	16	precision	precision	NOUN
eajbcs-263	28	17	,	,	PUNCT
eajbcs-263	28	18	particularly	particularly	ADV
eajbcs-263	28	19	for	for	ADP
eajbcs-263	28	20	medical	medical	ADJ
eajbcs-263	28	21	researches	research	NOUN
eajbcs-263	28	22	(	(	PUNCT
eajbcs-263	28	23	huppert	huppert	NOUN
eajbcs-263	28	24	and	and	CCONJ
eajbcs-263	28	25	katriel	katriel	PROPN
eajbcs-263	28	26	,	,	PUNCT
eajbcs-263	28	27	2013	2013	NUM
eajbcs-263	28	28	)	)	PUNCT
eajbcs-263	28	29	.	.	PUNCT
eajbcs-263	29	1	by	by	ADP
eajbcs-263	29	2	fitting	fitting	ADJ
eajbcs-263	29	3	models	model	NOUN
eajbcs-263	29	4	and	and	CCONJ
eajbcs-263	29	5	creating	create	VERB
eajbcs-263	29	6	precision	precision	NOUN
eajbcs-263	29	7	forecasting	forecasting	NOUN
eajbcs-263	29	8	unfailingly	unfailingly	ADV
eajbcs-263	29	9	may	may	AUX
eajbcs-263	29	10	improve	improve	VERB
eajbcs-263	29	11	community	community	NOUN
eajbcs-263	29	12	health	health	NOUN
eajbcs-263	29	13	judgment	judgment	NOUN
eajbcs-263	29	14	-	-	PUNCT
eajbcs-263	29	15	making	making	NOUN
eajbcs-263	29	16	(	(	PUNCT
eajbcs-263	29	17	yonar	yonar	PROPN
eajbcs-263	29	18	et	et	PROPN
eajbcs-263	29	19	al	al	PROPN
eajbcs-263	29	20	.	.	PROPN
eajbcs-263	29	21	,	,	PUNCT
eajbcs-263	29	22	2020	2020	NUM
eajbcs-263	29	23	)	)	PUNCT
eajbcs-263	29	24	.	.	PUNCT
eajbcs-263	30	1	on	on	ADP
eajbcs-263	30	2	march	march	PROPN
eajbcs-263	30	3	13	13	NUM
eajbcs-263	30	4	,	,	PUNCT
eajbcs-263	30	5	2020	2020	NUM
eajbcs-263	30	6	,	,	PUNCT
eajbcs-263	30	7	the	the	DET
eajbcs-263	30	8	federal	federal	PROPN
eajbcs-263	30	9	ministry	ministry	PROPN
eajbcs-263	30	10	of	of	ADP
eajbcs-263	30	11	health	health	PROPN
eajbcs-263	30	12	has	have	AUX
eajbcs-263	30	13	confirmed	confirm	VERB
eajbcs-263	30	14	a	a	DET
eajbcs-263	30	15	corona	corona	NOUN
eajbcs-263	30	16	virus	virus	NOUN
eajbcs-263	30	17	disease	disease	NOUN
eajbcs-263	30	18	(	(	PUNCT
eajbcs-263	30	19	covid-19	covid-19	PROPN
eajbcs-263	30	20	)	)	PUNCT
eajbcs-263	30	21	index	index	NOUN
eajbcs-263	30	22	case	case	NOUN
eajbcs-263	30	23	in	in	ADP
eajbcs-263	30	24	addis	addis	PROPN
eajbcs-263	30	25	ababa	ababa	PROPN
eajbcs-263	30	26	,	,	PUNCT
eajbcs-263	30	27	ethiopia	ethiopia	PROPN
eajbcs-263	30	28	.	.	PUNCT
eajbcs-263	31	1	the	the	DET
eajbcs-263	31	2	case	case	NOUN
eajbcs-263	31	3	,	,	PUNCT
eajbcs-263	31	4	which	which	PRON
eajbcs-263	31	5	was	be	AUX
eajbcs-263	31	6	publicized	publicize	VERB
eajbcs-263	31	7	on	on	ADP
eajbcs-263	31	8	the	the	DET
eajbcs-263	31	9	13th	13th	NOUN
eajbcs-263	31	10	of	of	ADP
eajbcs-263	31	11	march	march	PROPN
eajbcs-263	31	12	2020	2020	NUM
eajbcs-263	31	13	,	,	PUNCT
eajbcs-263	31	14	is	be	AUX
eajbcs-263	31	15	the	the	DET
eajbcs-263	31	16	first	first	ADJ
eajbcs-263	31	17	one	one	NUM
eajbcs-263	31	18	(	(	PUNCT
eajbcs-263	31	19	index	index	NOUN
eajbcs-263	31	20	case	case	NOUN
eajbcs-263	31	21	)	)	PUNCT
eajbcs-263	31	22	to	to	PART
eajbcs-263	31	23	be	be	AUX
eajbcs-263	31	24	reported	report	VERB
eajbcs-263	31	25	in	in	ADP
eajbcs-263	31	26	ethiopia	ethiopia	PROPN
eajbcs-263	31	27	since	since	SCONJ
eajbcs-263	31	28	the	the	DET
eajbcs-263	31	29	beginning	beginning	NOUN
eajbcs-263	31	30	of	of	ADP
eajbcs-263	31	31	the	the	DET
eajbcs-263	31	32	outbreak	outbreak	NOUN
eajbcs-263	31	33	in	in	ADP
eajbcs-263	31	34	china	china	PROPN
eajbcs-263	31	35	in	in	ADP
eajbcs-263	31	36	december	december	PROPN
eajbcs-263	31	37	2019	2019	NUM
eajbcs-263	31	38	.	.	PUNCT
eajbcs-263	32	1	the	the	DET
eajbcs-263	32	2	case	case	NOUN
eajbcs-263	32	3	is	be	AUX
eajbcs-263	32	4	a	a	DET
eajbcs-263	32	5	48year	48year	NUM
eajbcs-263	32	6	old	old	ADJ
eajbcs-263	32	7	japanese	japanese	ADJ
eajbcs-263	32	8	man	man	NOUN
eajbcs-263	32	9	reported	report	VERB
eajbcs-263	32	10	to	to	PART
eajbcs-263	32	11	have	have	AUX
eajbcs-263	32	12	travelled	travel	VERB
eajbcs-263	32	13	from	from	ADP
eajbcs-263	32	14	japan	japan	PROPN
eajbcs-263	32	15	to	to	ADP
eajbcs-263	32	16	burkina	burkina	PROPN
eajbcs-263	32	17	faso	faso	PROPN
eajbcs-263	32	18	and	and	CCONJ
eajbcs-263	32	19	then	then	ADV
eajbcs-263	32	20	reached	reach	VERB
eajbcs-263	32	21	in	in	ADP
eajbcs-263	32	22	ethiopia	ethiopia	PROPN
eajbcs-263	32	23	.	.	PUNCT
eajbcs-263	33	1	the	the	DET
eajbcs-263	33	2	person	person	NOUN
eajbcs-263	33	3	developed	develop	VERB
eajbcs-263	33	4	symptoms	symptom	NOUN
eajbcs-263	33	5	and	and	CCONJ
eajbcs-263	33	6	presented	present	VERB
eajbcs-263	33	7	at	at	ADP
eajbcs-263	33	8	the	the	DET
eajbcs-263	33	9	health	health	NOUN
eajbcs-263	33	10	center	center	NOUN
eajbcs-263	33	11	in	in	ADP
eajbcs-263	33	12	addis	addis	PROPN
eajbcs-263	33	13	ababa	ababa	PROPN
eajbcs-263	33	14	from	from	ADP
eajbcs-263	33	15	where	where	SCONJ
eajbcs-263	33	16	the	the	DET
eajbcs-263	33	17	rapid	rapid	ADJ
eajbcs-263	33	18	response	response	NOUN
eajbcs-263	33	19	team	team	NOUN
eajbcs-263	33	20	(	(	PUNCT
eajbcs-263	33	21	rrt	rrt	NOUN
eajbcs-263	33	22	)	)	PUNCT
eajbcs-263	33	23	moved	move	VERB
eajbcs-263	33	24	him	he	PRON
eajbcs-263	33	25	to	to	ADP
eajbcs-263	33	26	the	the	DET
eajbcs-263	33	27	isolation	isolation	NOUN
eajbcs-263	33	28	facility	facility	NOUN
eajbcs-263	33	29	in	in	ADP
eajbcs-263	33	30	yeka	yeka	PROPN
eajbcs-263	33	31	kotebe	kotebe	NOUN
eajbcs-263	33	32	.	.	PUNCT
eajbcs-263	34	1	he	he	PRON
eajbcs-263	34	2	was	be	AUX
eajbcs-263	34	3	clinically	clinically	ADV
eajbcs-263	34	4	stable	stable	ADJ
eajbcs-263	34	5	,	,	PUNCT
eajbcs-263	34	6	with	with	ADP
eajbcs-263	34	7	no	no	DET
eajbcs-263	34	8	serious	serious	ADJ
eajbcs-263	34	9	symptoms	symptom	NOUN
eajbcs-263	34	10	.	.	PUNCT
eajbcs-263	35	1	subsequently	subsequently	ADV
eajbcs-263	35	2	,	,	PUNCT
eajbcs-263	35	3	on	on	ADP
eajbcs-263	35	4	16	16	NUM
eajbcs-263	35	5	march	march	NOUN
eajbcs-263	35	6	2020	2020	NUM
eajbcs-263	35	7	,	,	PUNCT
eajbcs-263	35	8	the	the	DET
eajbcs-263	35	9	administration	administration	NOUN
eajbcs-263	35	10	of	of	ADP
eajbcs-263	35	11	ethiopia	ethiopia	PROPN
eajbcs-263	35	12	have	have	AUX
eajbcs-263	35	13	been	be	AUX
eajbcs-263	35	14	announcing	announce	VERB
eajbcs-263	35	15	to	to	ADP
eajbcs-263	35	16	appliance	appliance	NOUN
eajbcs-263	35	17	numerous	numerous	ADJ
eajbcs-263	35	18	defensive	defensive	ADJ
eajbcs-263	35	19	actions	action	NOUN
eajbcs-263	35	20	such	such	ADJ
eajbcs-263	35	21	as	as	ADP
eajbcs-263	35	22	emerging	emerge	VERB
eajbcs-263	35	23	community	community	NOUN
eajbcs-263	35	24	alertness	alertness	NOUN
eajbcs-263	35	25	about	about	ADP
eajbcs-263	35	26	over	over	ADP
eajbcs-263	35	27	all	all	DET
eajbcs-263	35	28	behavior	behavior	NOUN
eajbcs-263	35	29	of	of	ADP
eajbcs-263	35	30	the	the	DET
eajbcs-263	35	31	infection	infection	NOUN
eajbcs-263	35	32	and	and	CCONJ
eajbcs-263	35	33	its	its	PRON
eajbcs-263	35	34	stoppage	stoppage	NOUN
eajbcs-263	35	35	tools	tool	NOUN
eajbcs-263	35	36	like	like	ADP
eajbcs-263	35	37	cleansing	cleansing	NOUN
eajbcs-263	35	38	of	of	ADP
eajbcs-263	35	39	ways	way	NOUN
eajbcs-263	35	40	and	and	CCONJ
eajbcs-263	35	41	marketplaces	marketplace	NOUN
eajbcs-263	35	42	,	,	PUNCT
eajbcs-263	35	43	isolation	isolation	NOUN
eajbcs-263	35	44	of	of	ADP
eajbcs-263	35	45	mistrusted	mistrust	VERB
eajbcs-263	35	46	and	and	CCONJ
eajbcs-263	35	47	diseased	diseased	ADJ
eajbcs-263	35	48	cases	case	NOUN
eajbcs-263	35	49	,	,	PUNCT
eajbcs-263	35	50	lockdown	lockdown	NOUN
eajbcs-263	35	51	of	of	ADP
eajbcs-263	35	52	the	the	DET
eajbcs-263	35	53	universities	university	NOUN
eajbcs-263	35	54	,	,	PUNCT
eajbcs-263	35	55	schools	school	NOUN
eajbcs-263	35	56	,	,	PUNCT
eajbcs-263	35	57	house	house	NOUN
eajbcs-263	35	58	of	of	ADP
eajbcs-263	35	59	worship	worship	NOUN
eajbcs-263	35	60	,	,	PUNCT
eajbcs-263	35	61	and	and	CCONJ
eajbcs-263	35	62	announcing	announce	VERB
eajbcs-263	35	63	state	state	NOUN
eajbcs-263	35	64	of	of	ADP
eajbcs-263	35	65	crisis	crisis	NOUN
eajbcs-263	35	66	.	.	PUNCT
eajbcs-263	36	1	ethiopian	ethiopian	PROPN
eajbcs-263	36	2	administration	administration	PROPN
eajbcs-263	36	3	has	have	AUX
eajbcs-263	36	4	applied	apply	VERB
eajbcs-263	36	5	protective	protective	ADJ
eajbcs-263	36	6	measures	measure	NOUN
eajbcs-263	36	7	directly	directly	ADV
eajbcs-263	36	8	after	after	SCONJ
eajbcs-263	36	9	the	the	DET
eajbcs-263	36	10	infection	infection	NOUN
eajbcs-263	36	11	has	have	AUX
eajbcs-263	36	12	been	be	AUX
eajbcs-263	36	13	stated	state	VERB
eajbcs-263	36	14	the	the	DET
eajbcs-263	36	15	world	world	NOUN
eajbcs-263	36	16	disease	disease	NOUN
eajbcs-263	36	17	.	.	PUNCT
eajbcs-263	37	1	yet	yet	ADV
eajbcs-263	37	2	,	,	PUNCT
eajbcs-263	37	3	the	the	DET
eajbcs-263	37	4	spread	spread	NOUN
eajbcs-263	37	5	has	have	AUX
eajbcs-263	37	6	continued	continue	VERB
eajbcs-263	37	7	quick	quick	ADJ
eajbcs-263	37	8	for	for	ADP
eajbcs-263	37	9	the	the	DET
eajbcs-263	37	10	reason	reason	NOUN
eajbcs-263	37	11	that	that	PRON
eajbcs-263	37	12	supreme	supreme	NOUN
eajbcs-263	37	13	of	of	ADP
eajbcs-263	37	14	the	the	DET
eajbcs-263	37	15	individuals	individual	NOUN
eajbcs-263	37	16	have	have	AUX
eajbcs-263	37	17	been	be	AUX
eajbcs-263	37	18	carelessness	carelessness	NOUN
eajbcs-263	37	19	in	in	ADP
eajbcs-263	37	20	certain	certain	ADJ
eajbcs-263	37	21	of	of	ADP
eajbcs-263	37	22	defensive	defensive	ADJ
eajbcs-263	37	23	actions	action	NOUN
eajbcs-263	37	24	such	such	ADJ
eajbcs-263	37	25	as	as	ADP
eajbcs-263	37	26	public	public	ADJ
eajbcs-263	37	27	distancing	distancing	NOUN
eajbcs-263	37	28	and	and	CCONJ
eajbcs-263	37	29	mass	mass	NOUN
eajbcs-263	37	30	assembly	assembly	NOUN
eajbcs-263	37	31	.	.	PUNCT
eajbcs-263	38	1	on	on	ADP
eajbcs-263	38	2	the	the	DET
eajbcs-263	38	3	other	other	ADJ
eajbcs-263	38	4	,	,	PUNCT
eajbcs-263	38	5	populace	populace	NOUN
eajbcs-263	38	6	movement	movement	NOUN
eajbcs-263	38	7	through	through	ADP
eajbcs-263	38	8	the	the	DET
eajbcs-263	38	9	border	border	NOUN
eajbcs-263	38	10	from	from	ADP
eajbcs-263	38	11	the	the	DET
eajbcs-263	38	12	next	next	ADJ
eajbcs-263	38	13	-	-	PUNCT
eajbcs-263	38	14	door	door	NOUN
eajbcs-263	38	15	nations	nation	NOUN
eajbcs-263	38	16	like	like	ADP
eajbcs-263	38	17	sudan	sudan	PROPN
eajbcs-263	38	18	,	,	PUNCT
eajbcs-263	38	19	djibouti	djibouti	PROPN
eajbcs-263	38	20	,	,	PUNCT
eajbcs-263	38	21	kenya	kenya	PROPN
eajbcs-263	38	22	and	and	CCONJ
eajbcs-263	38	23	somalia	somalia	PROPN
eajbcs-263	38	24	has	have	VERB
eajbcs-263	38	25	a	a	DET
eajbcs-263	38	26	lion	lion	NOUN
eajbcs-263	38	27	part	part	NOUN
eajbcs-263	38	28	for	for	ADP
eajbcs-263	38	29	the	the	DET
eajbcs-263	38	30	current	current	ADJ
eajbcs-263	38	31	movement	movement	NOUN
eajbcs-263	38	32	of	of	ADP
eajbcs-263	38	33	quick	quick	ADJ
eajbcs-263	38	34	spread	spread	NOUN
eajbcs-263	38	35	of	of	ADP
eajbcs-263	38	36	infection	infection	NOUN
eajbcs-263	38	37	in	in	ADP
eajbcs-263	38	38	ethiopia	ethiopia	PROPN
eajbcs-263	38	39	.	.	PUNCT
eajbcs-263	39	1	accordingly	accordingly	ADV
eajbcs-263	39	2	,	,	PUNCT
eajbcs-263	39	3	covid-19	covid-19	PROPN
eajbcs-263	39	4	spread	spread	NOUN
eajbcs-263	39	5	would	would	AUX
eajbcs-263	39	6	get	get	VERB
eajbcs-263	39	7	thoughtful	thoughtful	ADJ
eajbcs-263	39	8	in	in	ADP
eajbcs-263	39	9	ethiopia	ethiopia	PROPN
eajbcs-263	39	10	,	,	PUNCT
eajbcs-263	39	11	and	and	CCONJ
eajbcs-263	39	12	its	its	PRON
eajbcs-263	39	13	coming	come	VERB
eajbcs-263	39	14	movement	movement	NOUN
eajbcs-263	39	15	is	be	AUX
eajbcs-263	39	16	also	also	ADV
eajbcs-263	39	17	likely	likely	ADJ
eajbcs-263	39	18	to	to	PART
eajbcs-263	39	19	depend	depend	VERB
eajbcs-263	39	20	directly	directly	ADV
eajbcs-263	39	21	or	or	CCONJ
eajbcs-263	39	22	indirectly	indirectly	ADV
eajbcs-263	39	23	on	on	ADP
eajbcs-263	39	24	the	the	DET
eajbcs-263	39	25	spread	spread	NOUN
eajbcs-263	39	26	of	of	ADP
eajbcs-263	39	27	covid-19	covid-19	PROPN
eajbcs-263	39	28	within	within	ADP
eajbcs-263	39	29	and	and	CCONJ
eajbcs-263	39	30	outside	outside	ADV
eajbcs-263	39	31	of	of	ADP
eajbcs-263	39	32	all	all	DET
eajbcs-263	39	33	those	those	DET
eajbcs-263	39	34	neighboring	neighboring	ADJ
eajbcs-263	39	35	african	african	ADJ
eajbcs-263	39	36	countries	country	NOUN
eajbcs-263	39	37	.	.	PUNCT
eajbcs-263	40	1	investigating	investigate	VERB
eajbcs-263	40	2	the	the	DET
eajbcs-263	40	3	trends	trend	NOUN
eajbcs-263	40	4	and	and	CCONJ
eajbcs-263	40	5	predicting	predict	VERB
eajbcs-263	40	6	the	the	DET
eajbcs-263	40	7	coming	come	VERB
eajbcs-263	40	8	indices	index	NOUN
eajbcs-263	40	9	of	of	ADP
eajbcs-263	40	10	the	the	DET
eajbcs-263	40	11	infection	infection	NOUN
eajbcs-263	40	12	in	in	ADP
eajbcs-263	40	13	ethiopia	ethiopia	PROPN
eajbcs-263	40	14	must	must	AUX
eajbcs-263	40	15	be	be	AUX
eajbcs-263	40	16	accompanied	accompany	VERB
eajbcs-263	40	17	in	in	ADP
eajbcs-263	40	18	order	order	NOUN
eajbcs-263	40	19	to	to	PART
eajbcs-263	40	20	put	put	VERB
eajbcs-263	40	21	in	in	ADP
eajbcs-263	40	22	a	a	DET
eajbcs-263	40	23	place	place	NOUN
eajbcs-263	40	24	operative	operative	ADJ
eajbcs-263	40	25	monitoring	monitoring	NOUN
eajbcs-263	40	26	policies	policy	NOUN
eajbcs-263	40	27	.	.	PUNCT
eajbcs-263	41	1	though	though	SCONJ
eajbcs-263	41	2	the	the	DET
eajbcs-263	41	3	spread	spread	ADJ
eajbcs-263	41	4	mechanisms	mechanism	NOUN
eajbcs-263	41	5	of	of	ADP
eajbcs-263	41	6	the	the	DET
eajbcs-263	41	7	infection	infection	NOUN
eajbcs-263	41	8	is	be	AUX
eajbcs-263	41	9	not	not	PART
eajbcs-263	41	10	totally	totally	ADV
eajbcs-263	41	11	recognized	recognize	VERB
eajbcs-263	41	12	,	,	PUNCT
eajbcs-263	41	13	the	the	DET
eajbcs-263	41	14	number	number	NOUN
eajbcs-263	41	15	of	of	ADP
eajbcs-263	41	16	new	new	ADJ
eajbcs-263	41	17	cases	case	NOUN
eajbcs-263	41	18	are	be	AUX
eajbcs-263	41	19	harshly	harshly	ADV
eajbcs-263	41	20	growing	grow	VERB
eajbcs-263	41	21	,	,	PUNCT
eajbcs-263	41	22	and	and	CCONJ
eajbcs-263	41	23	the	the	DET
eajbcs-263	41	24	effects	effect	NOUN
eajbcs-263	41	25	of	of	ADP
eajbcs-263	41	26	inhibition	inhibition	NOUN
eajbcs-263	41	27	should	should	AUX
eajbcs-263	41	28	be	be	AUX
eajbcs-263	41	29	assessed	assess	VERB
eajbcs-263	41	30	on	on	ADP
eajbcs-263	41	31	numerical	numerical	ADJ
eajbcs-263	41	32	data	datum	NOUN
eajbcs-263	41	33	where	where	SCONJ
eajbcs-263	41	34	numerical	numerical	ADJ
eajbcs-263	41	35	investigation	investigation	NOUN
eajbcs-263	41	36	is	be	AUX
eajbcs-263	41	37	extra	extra	ADV
eajbcs-263	41	38	significant	significant	ADJ
eajbcs-263	41	39	.	.	PUNCT
eajbcs-263	42	1	actually	actually	ADV
eajbcs-263	42	2	,	,	PUNCT
eajbcs-263	42	3	several	several	ADJ
eajbcs-263	42	4	states	state	NOUN
eajbcs-263	42	5	in	in	ADP
eajbcs-263	42	6	the	the	DET
eajbcs-263	42	7	world	world	NOUN
eajbcs-263	42	8	up	up	ADP
eajbcs-263	42	9	to	to	PART
eajbcs-263	42	10	now	now	ADV
eajbcs-263	42	11	have	have	VERB
eajbcs-263	42	12	functional	functional	ADJ
eajbcs-263	42	13	data	data	NOUN
eajbcs-263	42	14	-	-	PUNCT
eajbcs-263	42	15	driven	drive	VERB
eajbcs-263	42	16	statistical	statistical	ADJ
eajbcs-263	42	17	models	model	NOUN
eajbcs-263	42	18	alike	alike	ADP
eajbcs-263	42	19	autoregressive	autoregressive	ADJ
eajbcs-263	42	20	integrated	integrated	ADJ
eajbcs-263	42	21	moving	move	VERB
eajbcs-263	42	22	average	average	ADJ
eajbcs-263	42	23	(	(	PUNCT
eajbcs-263	42	24	arima	arima	PROPN
eajbcs-263	42	25	)	)	PUNCT
eajbcs-263	42	26	for	for	ADP
eajbcs-263	42	27	forecasting	forecasting	NOUN
eajbcs-263	42	28	of	of	ADP
eajbcs-263	42	29	future	future	ADJ
eajbcs-263	42	30	movements	movement	NOUN
eajbcs-263	42	31	of	of	ADP
eajbcs-263	42	32	the	the	DET
eajbcs-263	42	33	communicable	communicable	NOUN
eajbcs-263	42	34	infection	infection	NOUN
eajbcs-263	42	35	.	.	PUNCT
eajbcs-263	43	1	subsequently	subsequently	ADV
eajbcs-263	43	2	,	,	PUNCT
eajbcs-263	43	3	to	to	PART
eajbcs-263	43	4	model	model	VERB
eajbcs-263	43	5	the	the	DET
eajbcs-263	43	6	exponential	exponential	ADJ
eajbcs-263	43	7	growing	grow	VERB
eajbcs-263	43	8	rate	rate	NOUN
eajbcs-263	43	9	of	of	ADP
eajbcs-263	43	10	the	the	DET
eajbcs-263	43	11	virus	virus	NOUN
eajbcs-263	43	12	,	,	PUNCT
eajbcs-263	43	13	yichi	yichi	PROPN
eajbcs-263	43	14	et	et	PROPN
eajbcs-263	43	15	al	al	PROPN
eajbcs-263	43	16	.	.	PROPN
eajbcs-263	44	1	(	(	PUNCT
eajbcs-263	44	2	2020	2020	NUM
eajbcs-263	44	3	)	)	PUNCT
eajbcs-263	44	4	and	and	CCONJ
eajbcs-263	44	5	gupta	gupta	PROPN
eajbcs-263	44	6	and	and	CCONJ
eajbcs-263	44	7	pal	pal	NOUN
eajbcs-263	44	8	(	(	PUNCT
eajbcs-263	44	9	2020	2020	NUM
eajbcs-263	44	10	)	)	PUNCT
eajbcs-263	44	11	conducted	conduct	VERB
eajbcs-263	44	12	their	their	PRON
eajbcs-263	44	13	study	study	NOUN
eajbcs-263	44	14	using	use	VERB
eajbcs-263	44	15	a	a	DET
eajbcs-263	44	16	east	east	NOUN
eajbcs-263	44	17	afr	afr	NOUN
eajbcs-263	44	18	.	.	PUNCT
eajbcs-263	45	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	45	2	.	.	PUNCT
eajbcs-263	46	1	sci	sci	PROPN
eajbcs-263	46	2	.	.	PUNCT
eajbcs-263	47	1	(	(	PUNCT
eajbcs-263	47	2	2022	2022	NUM
eajbcs-263	47	3	)	)	PUNCT
eajbcs-263	47	4	,	,	PUNCT
eajbcs-263	47	5	vol	vol	NOUN
eajbcs-263	47	6	.	.	PROPN
eajbcs-263	48	1	3	3	NUM
eajbcs-263	48	2	,	,	PUNCT
eajbcs-263	48	3	no	no	INTJ
eajbcs-263	48	4	.	.	NOUN
eajbcs-263	48	5	1	1	NUM
eajbcs-263	48	6	,	,	PUNCT
eajbcs-263	48	7	58	58	NUM
eajbcs-263	48	8	-	-	SYM
eajbcs-263	48	9	68	68	NUM
eajbcs-263	48	10	60	60	NUM
eajbcs-263	48	11	linear	linear	ADJ
eajbcs-263	48	12	based	base	VERB
eajbcs-263	48	13	time	time	NOUN
eajbcs-263	48	14	series	series	PROPN
eajbcs-263	48	15	model	model	PROPN
eajbcs-263	48	16	,	,	PUNCT
eajbcs-263	48	17	auto	auto	NOUN
eajbcs-263	48	18	regressive	regressive	ADJ
eajbcs-263	48	19	moving	move	VERB
eajbcs-263	48	20	average	average	NOUN
eajbcs-263	48	21	(	(	PUNCT
eajbcs-263	48	22	arima	arima	PROPN
eajbcs-263	48	23	family	family	NOUN
eajbcs-263	48	24	)	)	PUNCT
eajbcs-263	48	25	model	model	NOUN
eajbcs-263	48	26	.	.	PUNCT
eajbcs-263	49	1	time	time	PROPN
eajbcs-263	49	2	series	series	PROPN
eajbcs-263	49	3	forecasting	forecasting	NOUN
eajbcs-263	49	4	models	model	NOUN
eajbcs-263	49	5	like	like	ADP
eajbcs-263	49	6	arima	arima	PROPN
eajbcs-263	49	7	is	be	AUX
eajbcs-263	49	8	the	the	DET
eajbcs-263	49	9	ordinary	ordinary	ADJ
eajbcs-263	49	10	method	method	NOUN
eajbcs-263	49	11	which	which	PRON
eajbcs-263	49	12	gives	give	VERB
eajbcs-263	49	13	clothed	clothe	VERB
eajbcs-263	49	14	forecasts	forecast	NOUN
eajbcs-263	49	15	on	on	ADP
eajbcs-263	49	16	time	time	NOUN
eajbcs-263	49	17	series	series	PROPN
eajbcs-263	49	18	data	datum	NOUN
eajbcs-263	49	19	in	in	ADP
eajbcs-263	49	20	fast	fast	ADJ
eajbcs-263	49	21	time	time	NOUN
eajbcs-263	49	22	(	(	PUNCT
eajbcs-263	49	23	hyndman	hyndman	NOUN
eajbcs-263	49	24	et	et	PROPN
eajbcs-263	49	25	al	al	PROPN
eajbcs-263	49	26	,	,	PUNCT
eajbcs-263	49	27	2008	2008	NUM
eajbcs-263	49	28	)	)	PUNCT
eajbcs-263	49	29	.	.	PUNCT
eajbcs-263	50	1	this	this	DET
eajbcs-263	50	2	method	method	NOUN
eajbcs-263	50	3	of	of	ADP
eajbcs-263	50	4	investigation	investigation	NOUN
eajbcs-263	50	5	has	have	AUX
eajbcs-263	50	6	been	be	AUX
eajbcs-263	50	7	extensively	extensively	ADV
eajbcs-263	50	8	functional	functional	ADJ
eajbcs-263	50	9	,	,	PUNCT
eajbcs-263	50	10	for	for	ADP
eajbcs-263	50	11	its	its	PRON
eajbcs-263	50	12	consistency	consistency	NOUN
eajbcs-263	50	13	and	and	CCONJ
eajbcs-263	50	14	rapid	rapid	ADJ
eajbcs-263	50	15	application	application	NOUN
eajbcs-263	50	16	by	by	ADP
eajbcs-263	50	17	numerous	numerous	ADJ
eajbcs-263	50	18	stakeholders	stakeholder	NOUN
eajbcs-263	50	19	.	.	PUNCT
eajbcs-263	51	1	hence	hence	ADV
eajbcs-263	51	2	the	the	DET
eajbcs-263	51	3	objective	objective	NOUN
eajbcs-263	51	4	of	of	ADP
eajbcs-263	51	5	this	this	DET
eajbcs-263	51	6	work	work	NOUN
eajbcs-263	51	7	is	be	AUX
eajbcs-263	51	8	to	to	PART
eajbcs-263	51	9	put	put	VERB
eajbcs-263	51	10	on	on	ADP
eajbcs-263	51	11	the	the	DET
eajbcs-263	51	12	autoregressive	autoregressive	ADJ
eajbcs-263	51	13	integrated	integrated	ADJ
eajbcs-263	51	14	moving	move	VERB
eajbcs-263	51	15	average	average	ADJ
eajbcs-263	51	16	(	(	PUNCT
eajbcs-263	51	17	arima	arima	NOUN
eajbcs-263	51	18	)	)	PUNCT
eajbcs-263	51	19	modelling	model	VERB
eajbcs-263	51	20	approach	approach	NOUN
eajbcs-263	51	21	for	for	ADP
eajbcs-263	51	22	predicting	predict	VERB
eajbcs-263	51	23	corona	corona	NOUN
eajbcs-263	51	24	virus	virus	NOUN
eajbcs-263	51	25	(	(	PUNCT
eajbcs-263	51	26	covid-19	covid-19	PROPN
eajbcs-263	51	27	)	)	PUNCT
eajbcs-263	51	28	confirmed	confirm	VERB
eajbcs-263	51	29	cases	case	NOUN
eajbcs-263	51	30	,	,	PUNCT
eajbcs-263	51	31	recovered	recover	VERB
eajbcs-263	51	32	and	and	CCONJ
eajbcs-263	51	33	deaths	death	NOUN
eajbcs-263	51	34	in	in	ADP
eajbcs-263	51	35	ethiopia	ethiopia	PROPN
eajbcs-263	51	36	to	to	PART
eajbcs-263	51	37	empower	empower	VERB
eajbcs-263	51	38	the	the	DET
eajbcs-263	51	39	community	community	NOUN
eajbcs-263	51	40	health	health	NOUN
eajbcs-263	51	41	organizations	organization	NOUN
eajbcs-263	51	42	to	to	PART
eajbcs-263	51	43	conduct	conduct	VERB
eajbcs-263	51	44	trust	trust	NOUN
eajbcs-263	51	45	worthy	worthy	ADJ
eajbcs-263	51	46	day	day	NOUN
eajbcs-263	51	47	-	-	PUNCT
eajbcs-263	51	48	to	to	ADP
eajbcs-263	51	49	-	-	PUNCT
eajbcs-263	51	50	day	day	NOUN
eajbcs-263	51	51	prediction	prediction	NOUN
eajbcs-263	51	52	and	and	CCONJ
eajbcs-263	51	53	to	to	PART
eajbcs-263	51	54	arise	arise	VERB
eajbcs-263	51	55	with	with	ADP
eajbcs-263	51	56	appropriate	appropriate	ADJ
eajbcs-263	51	57	intervention	intervention	NOUN
eajbcs-263	51	58	policies	policy	NOUN
eajbcs-263	51	59	,	,	PUNCT
eajbcs-263	51	60	deliver	deliver	VERB
eajbcs-263	51	61	direct	direct	ADJ
eajbcs-263	51	62	and	and	CCONJ
eajbcs-263	51	63	long	long	ADJ
eajbcs-263	51	64	-	-	PUNCT
eajbcs-263	51	65	term	term	NOUN
eajbcs-263	51	66	route	route	NOUN
eajbcs-263	51	67	of	of	ADP
eajbcs-263	51	68	the	the	DET
eajbcs-263	51	69	illness	illness	NOUN
eajbcs-263	51	70	and	and	CCONJ
eajbcs-263	51	71	play	play	VERB
eajbcs-263	51	72	role	role	NOUN
eajbcs-263	51	73	to	to	ADP
eajbcs-263	51	74	the	the	DET
eajbcs-263	51	75	body	body	NOUN
eajbcs-263	51	76	of	of	ADP
eajbcs-263	51	77	knowledge	knowledge	NOUN
eajbcs-263	51	78	in	in	ADP
eajbcs-263	51	79	epidemiologic	epidemiologic	ADJ
eajbcs-263	51	80	study	study	NOUN
eajbcs-263	51	81	method	method	NOUN
eajbcs-263	51	82	.	.	PUNCT
eajbcs-263	52	1	materials	material	NOUN
eajbcs-263	52	2	and	and	CCONJ
eajbcs-263	52	3	methods	method	NOUN
eajbcs-263	52	4	study	study	NOUN
eajbcs-263	52	5	area	area	NOUN
eajbcs-263	52	6	the	the	DET
eajbcs-263	52	7	research	research	NOUN
eajbcs-263	52	8	was	be	AUX
eajbcs-263	52	9	carried	carry	VERB
eajbcs-263	52	10	out	out	ADP
eajbcs-263	52	11	in	in	ADP
eajbcs-263	52	12	ethiopia	ethiopia	PROPN
eajbcs-263	52	13	,	,	PUNCT
eajbcs-263	52	14	where	where	SCONJ
eajbcs-263	52	15	the	the	DET
eajbcs-263	52	16	virus	virus	NOUN
eajbcs-263	52	17	quickly	quickly	ADV
eajbcs-263	52	18	spread	spread	VERB
eajbcs-263	52	19	and	and	CCONJ
eajbcs-263	52	20	disturbing	disturbing	ADJ
eajbcs-263	52	21	.	.	PUNCT
eajbcs-263	53	1	according	accord	VERB
eajbcs-263	53	2	to	to	ADP
eajbcs-263	53	3	the	the	DET
eajbcs-263	53	4	un	un	PROPN
eajbcs-263	53	5	population	population	NOUN
eajbcs-263	53	6	estimates	estimate	NOUN
eajbcs-263	53	7	,	,	PUNCT
eajbcs-263	53	8	whole	whole	ADJ
eajbcs-263	53	9	population	population	NOUN
eajbcs-263	53	10	of	of	ADP
eajbcs-263	53	11	the	the	DET
eajbcs-263	53	12	country	country	NOUN
eajbcs-263	53	13	is	be	AUX
eajbcs-263	53	14	114,963,836	114,963,836	NUM
eajbcs-263	53	15	peoples	people	NOUN
eajbcs-263	53	16	.	.	PUNCT
eajbcs-263	54	1	research	research	NOUN
eajbcs-263	54	2	data	datum	NOUN
eajbcs-263	54	3	the	the	DET
eajbcs-263	54	4	everyday	everyday	ADJ
eajbcs-263	54	5	time	time	NOUN
eajbcs-263	54	6	series	series	PROPN
eajbcs-263	54	7	data	datum	NOUN
eajbcs-263	54	8	of	of	ADP
eajbcs-263	54	9	covid-19	covid-19	PROPN
eajbcs-263	54	10	of	of	ADP
eajbcs-263	54	11	ethiopia	ethiopia	PROPN
eajbcs-263	54	12	from	from	ADP
eajbcs-263	54	13	13	13	NUM
eajbcs-263	54	14	march	march	NOUN
eajbcs-263	54	15	2020	2020	NUM
eajbcs-263	54	16	to	to	ADP
eajbcs-263	54	17	january	january	PROPN
eajbcs-263	54	18	3	3	NUM
eajbcs-263	54	19	,	,	PUNCT
eajbcs-263	54	20	2021	2021	NUM
eajbcs-263	54	21	were	be	AUX
eajbcs-263	54	22	gathered	gather	VERB
eajbcs-263	54	23	from	from	ADP
eajbcs-263	54	24	the	the	DET
eajbcs-263	54	25	official	official	ADJ
eajbcs-263	54	26	website	website	NOUN
eajbcs-263	54	27	of	of	ADP
eajbcs-263	54	28	johns	johns	PROPN
eajbcs-263	54	29	hopkins	hopkins	PROPN
eajbcs-263	54	30	university	university	PROPN
eajbcs-263	54	31	(	(	PUNCT
eajbcs-263	54	32	2020	2020	NUM
eajbcs-263	54	33	):	):	PUNCT
eajbcs-263	54	34	https://goto.now/awy0o	https://goto.now/awy0o	PROPN
eajbcs-263	54	35	.	.	PUNCT
eajbcs-263	55	1	spss	spss	PROPN
eajbcs-263	55	2	version	version	PROPN
eajbcs-263	55	3	20	20	NUM
eajbcs-263	55	4	statistical	statistical	ADJ
eajbcs-263	55	5	software	software	NOUN
eajbcs-263	55	6	was	be	AUX
eajbcs-263	55	7	functional	functional	ADJ
eajbcs-263	55	8	to	to	PART
eajbcs-263	55	9	achieve	achieve	VERB
eajbcs-263	55	10	statistical	statistical	ADJ
eajbcs-263	55	11	data	datum	NOUN
eajbcs-263	55	12	investigation	investigation	NOUN
eajbcs-263	55	13	on	on	ADP
eajbcs-263	55	14	the	the	DET
eajbcs-263	55	15	confirmed	confirm	VERB
eajbcs-263	55	16	,	,	PUNCT
eajbcs-263	55	17	recovered	recovered	ADJ
eajbcs-263	55	18	and	and	CCONJ
eajbcs-263	55	19	deaths	death	NOUN
eajbcs-263	55	20	case	case	NOUN
eajbcs-263	55	21	of	of	ADP
eajbcs-263	55	22	covid-19	covid-19	PROPN
eajbcs-263	55	23	datasets	dataset	NOUN
eajbcs-263	55	24	.	.	PUNCT
eajbcs-263	56	1	technique	technique	NOUN
eajbcs-263	56	2	of	of	ADP
eajbcs-263	56	3	data	datum	NOUN
eajbcs-263	56	4	study	study	NOUN
eajbcs-263	56	5	time	time	NOUN
eajbcs-263	56	6	series	series	PROPN
eajbcs-263	56	7	analysis	analysis	NOUN
eajbcs-263	56	8	aims	aim	VERB
eajbcs-263	56	9	to	to	PART
eajbcs-263	56	10	tell	tell	VERB
eajbcs-263	56	11	consistent	consistent	ADJ
eajbcs-263	56	12	and	and	CCONJ
eajbcs-263	56	13	expressive	expressive	ADJ
eajbcs-263	56	14	statistics	statistic	NOUN
eajbcs-263	56	15	and	and	CCONJ
eajbcs-263	56	16	use	use	VERB
eajbcs-263	56	17	this	this	DET
eajbcs-263	56	18	information	information	NOUN
eajbcs-263	56	19	to	to	PART
eajbcs-263	56	20	forecast	forecast	VERB
eajbcs-263	56	21	upcoming	upcoming	ADJ
eajbcs-263	56	22	values	value	NOUN
eajbcs-263	56	23	of	of	ADP
eajbcs-263	56	24	the	the	DET
eajbcs-263	56	25	series	series	NOUN
eajbcs-263	56	26	.	.	PUNCT
eajbcs-263	57	1	time	time	PROPN
eajbcs-263	57	2	series	series	PROPN
eajbcs-263	57	3	models	model	NOUN
eajbcs-263	57	4	try	try	VERB
eajbcs-263	57	5	to	to	PART
eajbcs-263	57	6	predict	predict	VERB
eajbcs-263	57	7	the	the	DET
eajbcs-263	57	8	upcoming	upcoming	ADJ
eajbcs-263	57	9	values	value	NOUN
eajbcs-263	57	10	by	by	ADP
eajbcs-263	57	11	investigating	investigate	VERB
eajbcs-263	57	12	the	the	DET
eajbcs-263	57	13	former	former	ADJ
eajbcs-263	57	14	and	and	CCONJ
eajbcs-263	57	15	present	present	ADJ
eajbcs-263	57	16	.	.	PUNCT
eajbcs-263	58	1	it	it	PRON
eajbcs-263	58	2	contemplates	contemplate	VERB
eajbcs-263	58	3	past	past	ADJ
eajbcs-263	58	4	data	datum	NOUN
eajbcs-263	58	5	and	and	CCONJ
eajbcs-263	58	6	tries	try	VERB
eajbcs-263	58	7	to	to	PART
eajbcs-263	58	8	arise	arise	VERB
eajbcs-263	58	9	some	some	DET
eajbcs-263	58	10	procedure	procedure	NOUN
eajbcs-263	58	11	which	which	PRON
eajbcs-263	58	12	will	will	AUX
eajbcs-263	58	13	clarify	clarify	VERB
eajbcs-263	58	14	those	those	DET
eajbcs-263	58	15	existences	existence	NOUN
eajbcs-263	58	16	and	and	CCONJ
eajbcs-263	58	17	forecast	forecast	VERB
eajbcs-263	58	18	upcoming	upcoming	ADJ
eajbcs-263	58	19	values	value	NOUN
eajbcs-263	58	20	.	.	PUNCT
eajbcs-263	59	1	the	the	DET
eajbcs-263	59	2	distinct	distinct	ADJ
eajbcs-263	59	3	feature	feature	NOUN
eajbcs-263	59	4	of	of	ADP
eajbcs-263	59	5	time	time	NOUN
eajbcs-263	59	6	series	series	NOUN
eajbcs-263	59	7	analysis	analysis	NOUN
eajbcs-263	59	8	is	be	AUX
eajbcs-263	59	9	consecutive	consecutive	ADJ
eajbcs-263	59	10	observations	observation	NOUN
eajbcs-263	59	11	are	be	AUX
eajbcs-263	59	12	typically	typically	ADV
eajbcs-263	59	13	dependent	dependent	ADJ
eajbcs-263	59	14	and	and	CCONJ
eajbcs-263	59	15	that	that	SCONJ
eajbcs-263	59	16	the	the	DET
eajbcs-263	59	17	investigation	investigation	NOUN
eajbcs-263	59	18	must	must	AUX
eajbcs-263	59	19	take	take	VERB
eajbcs-263	59	20	methods	method	NOUN
eajbcs-263	59	21	to	to	PART
eajbcs-263	59	22	classify	classify	VERB
eajbcs-263	59	23	the	the	DET
eajbcs-263	59	24	designs	design	NOUN
eajbcs-263	59	25	which	which	PRON
eajbcs-263	59	26	characteristically	characteristically	ADV
eajbcs-263	59	27	happen	happen	VERB
eajbcs-263	59	28	in	in	ADP
eajbcs-263	59	29	the	the	DET
eajbcs-263	59	30	data	datum	NOUN
eajbcs-263	59	31	.	.	PUNCT
eajbcs-263	60	1	based	base	VERB
eajbcs-263	60	2	on	on	ADP
eajbcs-263	60	3	this	this	DET
eajbcs-263	60	4	detail	detail	NOUN
eajbcs-263	60	5	,	,	PUNCT
eajbcs-263	60	6	amongst	amongst	ADP
eajbcs-263	60	7	time	time	NOUN
eajbcs-263	60	8	series	series	PROPN
eajbcs-263	60	9	methods	method	NOUN
eajbcs-263	60	10	,	,	PUNCT
eajbcs-263	60	11	this	this	DET
eajbcs-263	60	12	research	research	NOUN
eajbcs-263	60	13	applied	apply	VERB
eajbcs-263	60	14	arima	arima	NOUN
eajbcs-263	60	15	model	model	NOUN
eajbcs-263	60	16	in	in	ADP
eajbcs-263	60	17	order	order	NOUN
eajbcs-263	60	18	to	to	PART
eajbcs-263	60	19	evaluate	evaluate	VERB
eajbcs-263	60	20	the	the	DET
eajbcs-263	60	21	upcoming	upcoming	ADJ
eajbcs-263	60	22	movement	movement	NOUN
eajbcs-263	60	23	situation	situation	NOUN
eajbcs-263	60	24	of	of	ADP
eajbcs-263	60	25	covid-19	covid-19	PROPN
eajbcs-263	60	26	in	in	ADP
eajbcs-263	60	27	ethiopia	ethiopia	PROPN
eajbcs-263	60	28	.	.	PUNCT
eajbcs-263	61	1	auto	auto	NOUN
eajbcs-263	61	2	regressive	regressive	ADJ
eajbcs-263	61	3	integrated	integrated	ADJ
eajbcs-263	61	4	moving	move	VERB
eajbcs-263	61	5	average	average	ADJ
eajbcs-263	61	6	(	(	PUNCT
eajbcs-263	61	7	arima	arima	NOUN
eajbcs-263	61	8	)	)	PUNCT
eajbcs-263	61	9	modelling	modelling	NOUN
eajbcs-263	61	10	it	it	PRON
eajbcs-263	61	11	is	be	AUX
eajbcs-263	61	12	the	the	DET
eajbcs-263	61	13	other	other	ADJ
eajbcs-263	61	14	most	most	ADV
eajbcs-263	61	15	regularly	regularly	ADV
eajbcs-263	61	16	used	use	VERB
eajbcs-263	61	17	time	time	NOUN
eajbcs-263	61	18	series	series	NOUN
eajbcs-263	61	19	models	model	NOUN
eajbcs-263	61	20	as	as	SCONJ
eajbcs-263	61	21	it	it	PRON
eajbcs-263	61	22	considers	consider	VERB
eajbcs-263	61	23	varying	vary	VERB
eajbcs-263	61	24	movements	movement	NOUN
eajbcs-263	61	25	,	,	PUNCT
eajbcs-263	61	26	periodic	periodic	ADJ
eajbcs-263	61	27	fluctuations	fluctuation	NOUN
eajbcs-263	61	28	and	and	CCONJ
eajbcs-263	61	29	random	random	ADJ
eajbcs-263	61	30	disturbances	disturbance	NOUN
eajbcs-263	61	31	in	in	ADP
eajbcs-263	61	32	the	the	DET
eajbcs-263	61	33	time	time	NOUN
eajbcs-263	61	34	series	series	NOUN
eajbcs-263	61	35	.	.	PUNCT
eajbcs-263	62	1	it	it	PRON
eajbcs-263	62	2	also	also	ADV
eajbcs-263	62	3	appropriate	appropriate	VERB
eajbcs-263	62	4	for	for	ADP
eajbcs-263	62	5	all	all	DET
eajbcs-263	62	6	types	type	NOUN
eajbcs-263	62	7	of	of	ADP
eajbcs-263	62	8	data	datum	NOUN
eajbcs-263	62	9	,	,	PUNCT
eajbcs-263	62	10	containing	contain	VERB
eajbcs-263	62	11	non	non	ADJ
eajbcs-263	62	12	-	-	ADJ
eajbcs-263	62	13	stationary	stationary	ADJ
eajbcs-263	62	14	data	datum	NOUN
eajbcs-263	62	15	,	,	PUNCT
eajbcs-263	62	16	which	which	PRON
eajbcs-263	62	17	is	be	AUX
eajbcs-263	62	18	if	if	SCONJ
eajbcs-263	62	19	there	there	PRON
eajbcs-263	62	20	is	be	VERB
eajbcs-263	62	21	no	no	DET
eajbcs-263	62	22	systematic	systematic	ADJ
eajbcs-263	62	23	change	change	NOUN
eajbcs-263	62	24	in	in	ADP
eajbcs-263	62	25	mean	mean	PROPN
eajbcs-263	62	26	(	(	PUNCT
eajbcs-263	62	27	no	no	DET
eajbcs-263	62	28	trend	trend	NOUN
eajbcs-263	62	29	)	)	PUNCT
eajbcs-263	62	30	,	,	PUNCT
eajbcs-263	62	31	no	no	DET
eajbcs-263	62	32	systematic	systematic	ADJ
eajbcs-263	62	33	change	change	NOUN
eajbcs-263	62	34	in	in	ADP
eajbcs-263	62	35	variance	variance	NOUN
eajbcs-263	62	36	and	and	CCONJ
eajbcs-263	62	37	periodic	periodic	ADJ
eajbcs-263	62	38	variations	variation	NOUN
eajbcs-263	62	39	has	have	AUX
eajbcs-263	62	40	removed	remove	VERB
eajbcs-263	62	41	(	(	PUNCT
eajbcs-263	62	42	box	box	NOUN
eajbcs-263	62	43	and	and	CCONJ
eajbcs-263	62	44	jenkins	jenkin	NOUN
eajbcs-263	62	45	,	,	PUNCT
eajbcs-263	62	46	1976	1976	NUM
eajbcs-263	62	47	)	)	PUNCT
eajbcs-263	62	48	.	.	PUNCT
eajbcs-263	63	1	in	in	ADP
eajbcs-263	63	2	practice	practice	NOUN
eajbcs-263	63	3	,	,	PUNCT
eajbcs-263	63	4	most	most	ADJ
eajbcs-263	63	5	of	of	ADP
eajbcs-263	63	6	the	the	DET
eajbcs-263	63	7	time	time	NOUN
eajbcs-263	63	8	series	series	PROPN
eajbcs-263	63	9	are	be	AUX
eajbcs-263	63	10	non	non	ADJ
eajbcs-263	63	11	-	-	ADJ
eajbcs-263	63	12	stationary	stationary	ADJ
eajbcs-263	63	13	and	and	CCONJ
eajbcs-263	63	14	wei	wei	PROPN
eajbcs-263	63	15	,	,	PUNCT
eajbcs-263	63	16	2006	2006	NUM
eajbcs-263	63	17	commends	commend	VERB
eajbcs-263	63	18	eliminating	eliminate	VERB
eajbcs-263	63	19	any	any	DET
eajbcs-263	63	20	non	non	ADJ
eajbcs-263	63	21	-	-	ADJ
eajbcs-263	63	22	stationary	stationary	ADJ
eajbcs-263	63	23	sources	source	NOUN
eajbcs-263	63	24	of	of	ADP
eajbcs-263	63	25	variation	variation	NOUN
eajbcs-263	63	26	in	in	ADP
eajbcs-263	63	27	time	time	NOUN
eajbcs-263	63	28	series	series	PROPN
eajbcs-263	63	29	data	data	PROPN
eajbcs-263	63	30	.	.	PUNCT
eajbcs-263	64	1	in	in	ADP
eajbcs-263	64	2	most	most	ADJ
eajbcs-263	64	3	case	case	NOUN
eajbcs-263	64	4	,	,	PUNCT
eajbcs-263	64	5	common	common	ADJ
eajbcs-263	64	6	method	method	NOUN
eajbcs-263	64	7	for	for	ADP
eajbcs-263	64	8	attaining	attain	VERB
eajbcs-263	64	9	stationary	stationary	NOUN
eajbcs-263	64	10	is	be	AUX
eajbcs-263	64	11	to	to	PART
eajbcs-263	64	12	put	put	VERB
eajbcs-263	64	13	on	on	ADP
eajbcs-263	64	14	consistent	consistent	ADJ
eajbcs-263	64	15	differencing	differencing	NOUN
eajbcs-263	64	16	and	and	CCONJ
eajbcs-263	64	17	log	log	VERB
eajbcs-263	64	18	transformation	transformation	NOUN
eajbcs-263	64	19	to	to	ADP
eajbcs-263	64	20	the	the	DET
eajbcs-263	64	21	original	original	ADJ
eajbcs-263	64	22	time	time	NOUN
eajbcs-263	64	23	series	series	NOUN
eajbcs-263	64	24	(	(	PUNCT
eajbcs-263	64	25	xt	xt	NOUN
eajbcs-263	64	26	)	)	PUNCT
eajbcs-263	64	27	.	.	PUNCT
eajbcs-263	65	1	if	if	SCONJ
eajbcs-263	65	2	differencing	difference	VERB
eajbcs-263	65	3	a	a	DET
eajbcs-263	65	4	time	time	NOUN
eajbcs-263	65	5	series	series	NOUN
eajbcs-263	65	6	d	d	PROPN
eajbcs-263	65	7	times	times	PROPN
eajbcs-263	65	8	results	result	VERB
eajbcs-263	65	9	in	in	ADP
eajbcs-263	65	10	a	a	DET
eajbcs-263	65	11	stationary	stationary	ADJ
eajbcs-263	65	12	series	series	NOUN
eajbcs-263	65	13	,	,	PUNCT
eajbcs-263	65	14	then	then	ADV
eajbcs-263	65	15	that	that	DET
eajbcs-263	65	16	original	original	ADJ
eajbcs-263	65	17	series	series	NOUN
eajbcs-263	65	18	is	be	AUX
eajbcs-263	65	19	said	say	VERB
eajbcs-263	65	20	to	to	PART
eajbcs-263	65	21	follow	follow	VERB
eajbcs-263	65	22	an	an	DET
eajbcs-263	65	23	autoregressive	autoregressive	ADJ
eajbcs-263	65	24	integrated	integrated	ADJ
eajbcs-263	65	25	moving	move	VERB
eajbcs-263	65	26	https://goto.now/awy0o	https://goto.now/awy0o	NUM
eajbcs-263	65	27	east	east	NOUN
eajbcs-263	65	28	afr	afr	NOUN
eajbcs-263	65	29	.	.	PUNCT
eajbcs-263	66	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	66	2	.	.	PUNCT
eajbcs-263	67	1	sci	sci	PROPN
eajbcs-263	67	2	.	.	PUNCT
eajbcs-263	68	1	(	(	PUNCT
eajbcs-263	68	2	2022	2022	NUM
eajbcs-263	68	3	)	)	PUNCT
eajbcs-263	68	4	,	,	PUNCT
eajbcs-263	68	5	vol	vol	NOUN
eajbcs-263	68	6	.	.	PROPN
eajbcs-263	69	1	3	3	NUM
eajbcs-263	69	2	,	,	PUNCT
eajbcs-263	69	3	no	no	INTJ
eajbcs-263	69	4	.	.	NOUN
eajbcs-263	69	5	1	1	NUM
eajbcs-263	69	6	,	,	PUNCT
eajbcs-263	69	7	58	58	NUM
eajbcs-263	69	8	-	-	SYM
eajbcs-263	69	9	68	68	NUM
eajbcs-263	69	10	61	61	NUM
eajbcs-263	69	11	average	average	NOUN
eajbcs-263	69	12	(	(	PUNCT
eajbcs-263	69	13	arima	arima	NOUN
eajbcs-263	69	14	)	)	PUNCT
eajbcs-263	69	15	process	process	NOUN
eajbcs-263	69	16	,	,	PUNCT
eajbcs-263	69	17	denoted	denote	VERB
eajbcs-263	69	18	as	as	ADP
eajbcs-263	69	19	arima	arima	PROPN
eajbcs-263	69	20	(	(	PUNCT
eajbcs-263	69	21	p	p	X
eajbcs-263	69	22	,	,	PUNCT
eajbcs-263	69	23	d	d	NOUN
eajbcs-263	69	24	,	,	PUNCT
eajbcs-263	69	25	q	q	NOUN
eajbcs-263	69	26	)	)	PUNCT
eajbcs-263	69	27	and	and	CCONJ
eajbcs-263	69	28	can	can	AUX
eajbcs-263	69	29	be	be	AUX
eajbcs-263	69	30	written	write	VERB
eajbcs-263	69	31	as	as	ADP
eajbcs-263	69	32	:	:	PUNCT
eajbcs-263	69	33			NOUN
eajbcs-263	70	1			PROPN
eajbcs-263	70	2			NOUN
eajbcs-263	70	3			PUNCT
eajbcs-263	70	4	tt	tt	PROPN
eajbcs-263	70	5	d	d	PROPN
eajbcs-263	70	6	wx	wx	X
eajbcs-263	70	7			X
eajbcs-263	70	8			X
eajbcs-263	70	9	where	where	SCONJ
eajbcs-263	70	10	:	:	PUNCT
eajbcs-263	70	11	autoregressive	autoregressive	ADJ
eajbcs-263	70	12	operator	operator	NOUN
eajbcs-263	70	13	can	can	AUX
eajbcs-263	70	14	be	be	AUX
eajbcs-263	70	15	expressed	express	VERB
eajbcs-263	70	16	as	as	ADP
eajbcs-263	70	17	:	:	PUNCT
eajbcs-263	70	18			NOUN
eajbcs-263	70	19			PROPN
eajbcs-263	70	20	p	p	NOUN
eajbcs-263	70	21	p	p	PRON
eajbcs-263	70	22			NOUN
eajbcs-263	70	23	...	...	PUNCT
eajbcs-263	70	24	1	1	NUM
eajbcs-263	70	25	2	2	NUM
eajbcs-263	70	26	2	2	NUM
eajbcs-263	70	27	moving	move	VERB
eajbcs-263	70	28	average	average	ADJ
eajbcs-263	70	29	operator	operator	NOUN
eajbcs-263	70	30			NOUN
eajbcs-263	70	31			PROPN
eajbcs-263	70	32			PUNCT
eajbcs-263	70	33	p	p	NOUN
eajbcs-263	70	34	...	...	PUNCT
eajbcs-263	70	35	1	1	NUM
eajbcs-263	70	36	1	1	NUM
eajbcs-263	70	37	differencing	differencing	NOUN
eajbcs-263	70	38	operator	operator	NOUN
eajbcs-263	70	39			NOUN
eajbcs-263	70	40			PUNCT
eajbcs-263	70	41			NOUN
eajbcs-263	70	42	dd	dd	NUM
eajbcs-263	70	43			NUM
eajbcs-263	70	44	1	1	NUM
eajbcs-263	71	1	it	it	PRON
eajbcs-263	71	2	is	be	AUX
eajbcs-263	71	3	the	the	DET
eajbcs-263	71	4	expression	expression	NOUN
eajbcs-263	71	5	of	of	ADP
eajbcs-263	71	6	dth	dth	ADJ
eajbcs-263	71	7	consecutive	consecutive	ADJ
eajbcs-263	71	8	differencing	differencing	NOUN
eajbcs-263	71	9	so	so	SCONJ
eajbcs-263	71	10	as	as	SCONJ
eajbcs-263	71	11	to	to	PART
eajbcs-263	71	12	make	make	VERB
eajbcs-263	71	13	series	series	NOUN
eajbcs-263	71	14	stationary	stationary	NOUN
eajbcs-263	71	15	.	.	PUNCT
eajbcs-263	72	1	wt	wt	PROPN
eajbcs-263	72	2	is	be	AUX
eajbcs-263	72	3	a	a	DET
eajbcs-263	72	4	gaussian	gaussian	ADJ
eajbcs-263	72	5	white	white	PROPN
eajbcs-263	72	6	noise	noise	PROPN
eajbcs-263	72	7	series	series	NOUN
eajbcs-263	72	8	with	with	ADP
eajbcs-263	72	9	mean	mean	PROPN
eajbcs-263	72	10	zero	zero	NUM
eajbcs-263	72	11	and	and	CCONJ
eajbcs-263	72	12	variance	variance	NOUN
eajbcs-263	72	13			NOUN
eajbcs-263	72	14	2	2	NOUN
eajbcs-263	72	15	w	w	NOUN
eajbcs-263	72	16	.	.	PUNCT
eajbcs-263	73	1	testing	test	VERB
eajbcs-263	73	2	for	for	ADP
eajbcs-263	73	3	stationary	stationary	NOUN
eajbcs-263	73	4	:	:	PUNCT
eajbcs-263	73	5	before	before	ADP
eajbcs-263	73	6	emerging	emerge	VERB
eajbcs-263	73	7	a	a	DET
eajbcs-263	73	8	box	box	NOUN
eajbcs-263	73	9	-	-	PUNCT
eajbcs-263	73	10	jenkins	jenkin	NOUN
eajbcs-263	73	11	modelling	modelling	NOUN
eajbcs-263	73	12	process	process	NOUN
eajbcs-263	73	13	,	,	PUNCT
eajbcs-263	73	14	it	it	PRON
eajbcs-263	73	15	is	be	AUX
eajbcs-263	73	16	significant	significant	ADJ
eajbcs-263	73	17	to	to	PART
eajbcs-263	73	18	verify	verify	VERB
eajbcs-263	73	19	whether	whether	SCONJ
eajbcs-263	73	20	the	the	DET
eajbcs-263	73	21	data	datum	NOUN
eajbcs-263	73	22	under	under	ADP
eajbcs-263	73	23	study	study	NOUN
eajbcs-263	73	24	encounters	encounter	VERB
eajbcs-263	73	25	basic	basic	ADJ
eajbcs-263	73	26	suppositions	supposition	NOUN
eajbcs-263	73	27	such	such	ADJ
eajbcs-263	73	28	as	as	ADP
eajbcs-263	73	29	series	series	PROPN
eajbcs-263	73	30	stationary	stationary	PROPN
eajbcs-263	73	31	.	.	PUNCT
eajbcs-263	74	1	a	a	DET
eajbcs-263	74	2	time	time	NOUN
eajbcs-263	74	3	series	series	NOUN
eajbcs-263	74	4	is	be	AUX
eajbcs-263	74	5	well	well	ADV
eajbcs-263	74	6	-	-	PUNCT
eajbcs-263	74	7	thought	think	VERB
eajbcs-263	74	8	-	-	PUNCT
eajbcs-263	74	9	out	out	NOUN
eajbcs-263	74	10	as	as	ADV
eajbcs-263	74	11	stationary	stationary	ADJ
eajbcs-263	74	12	if	if	SCONJ
eajbcs-263	74	13	its	its	PRON
eajbcs-263	74	14	statistical	statistical	ADJ
eajbcs-263	74	15	properties	property	NOUN
eajbcs-263	74	16	such	such	ADJ
eajbcs-263	74	17	as	as	ADP
eajbcs-263	74	18	mean	mean	ADJ
eajbcs-263	74	19	and	and	CCONJ
eajbcs-263	74	20	variance	variance	NOUN
eajbcs-263	74	21	are	be	AUX
eajbcs-263	74	22	constant	constant	ADJ
eajbcs-263	74	23	over	over	ADP
eajbcs-263	74	24	time	time	NOUN
eajbcs-263	74	25	(	(	PUNCT
eajbcs-263	74	26	box	box	NOUN
eajbcs-263	74	27	and	and	CCONJ
eajbcs-263	74	28	jenkins	jenkin	NOUN
eajbcs-263	74	29	,	,	PUNCT
eajbcs-263	74	30	1976	1976	NUM
eajbcs-263	74	31	)	)	PUNCT
eajbcs-263	74	32	.	.	PUNCT
eajbcs-263	75	1	many	many	ADJ
eajbcs-263	75	2	testing	testing	NOUN
eajbcs-263	75	3	procedures	procedure	NOUN
eajbcs-263	75	4	for	for	ADP
eajbcs-263	75	5	stationary	stationary	NOUN
eajbcs-263	75	6	are	be	AUX
eajbcs-263	75	7	planned	plan	VERB
eajbcs-263	75	8	in	in	ADP
eajbcs-263	75	9	the	the	DET
eajbcs-263	75	10	literature	literature	NOUN
eajbcs-263	75	11	.	.	PUNCT
eajbcs-263	76	1	in	in	ADP
eajbcs-263	76	2	this	this	DET
eajbcs-263	76	3	research	research	NOUN
eajbcs-263	76	4	,	,	PUNCT
eajbcs-263	76	5	correlogram	correlogram	NOUN
eajbcs-263	76	6	test	test	NOUN
eajbcs-263	76	7	were	be	AUX
eajbcs-263	76	8	functional	functional	ADJ
eajbcs-263	76	9	for	for	ADP
eajbcs-263	76	10	testing	test	VERB
eajbcs-263	76	11	whether	whether	SCONJ
eajbcs-263	76	12	the	the	DET
eajbcs-263	76	13	series	series	NOUN
eajbcs-263	76	14	is	be	AUX
eajbcs-263	76	15	stationary	stationary	ADJ
eajbcs-263	76	16	.	.	PUNCT
eajbcs-263	77	1	the	the	DET
eajbcs-263	77	2	correlogram	correlogram	NOUN
eajbcs-263	77	3	test	test	NOUN
eajbcs-263	77	4	:	:	PUNCT
eajbcs-263	77	5	it	it	PRON
eajbcs-263	77	6	is	be	AUX
eajbcs-263	77	7	one	one	NUM
eajbcs-263	77	8	way	way	NOUN
eajbcs-263	77	9	to	to	PART
eajbcs-263	77	10	characterize	characterize	VERB
eajbcs-263	77	11	a	a	DET
eajbcs-263	77	12	series	series	NOUN
eajbcs-263	77	13	with	with	ADP
eajbcs-263	77	14	respect	respect	NOUN
eajbcs-263	77	15	to	to	ADP
eajbcs-263	77	16	its	its	PRON
eajbcs-263	77	17	reliance	reliance	NOUN
eajbcs-263	77	18	over	over	ADP
eajbcs-263	77	19	time	time	NOUN
eajbcs-263	77	20	.	.	PUNCT
eajbcs-263	78	1	it	it	PRON
eajbcs-263	78	2	usually	usually	ADV
eajbcs-263	78	3	recognized	recognize	VERB
eajbcs-263	78	4	as	as	ADP
eajbcs-263	78	5	sample	sample	NOUN
eajbcs-263	78	6	autocorrelation	autocorrelation	NOUN
eajbcs-263	78	7	function	function	NOUN
eajbcs-263	78	8	(	(	PUNCT
eajbcs-263	78	9	acf	acf	PROPN
eajbcs-263	78	10	)	)	PUNCT
eajbcs-263	78	11	,	,	PUNCT
eajbcs-263	78	12	which	which	PRON
eajbcs-263	78	13	is	be	AUX
eajbcs-263	78	14	plot	plot	NOUN
eajbcs-263	78	15	of	of	ADP
eajbcs-263	78	16	sample	sample	NOUN
eajbcs-263	78	17	acf	acf	PROPN
eajbcs-263	78	18	coefficient	coefficient	NOUN
eajbcs-263	78	19	against	against	ADP
eajbcs-263	78	20	observation	observation	NOUN
eajbcs-263	78	21	difference	difference	NOUN
eajbcs-263	78	22	in	in	ADP
eajbcs-263	78	23	time	time	NOUN
eajbcs-263	78	24	(	(	PUNCT
eajbcs-263	78	25	lag	lag	NOUN
eajbcs-263	78	26	)	)	PUNCT
eajbcs-263	78	27	.	.	PUNCT
eajbcs-263	79	1	as	as	SCONJ
eajbcs-263	79	2	indicated	indicate	VERB
eajbcs-263	79	3	in	in	ADP
eajbcs-263	79	4	(	(	PUNCT
eajbcs-263	79	5	box	box	PROPN
eajbcs-263	79	6	and	and	CCONJ
eajbcs-263	79	7	jenkins	jenkin	NOUN
eajbcs-263	79	8	,	,	PUNCT
eajbcs-263	79	9	1976	1976	NUM
eajbcs-263	79	10	)	)	PUNCT
eajbcs-263	79	11	if	if	SCONJ
eajbcs-263	79	12	the	the	DET
eajbcs-263	79	13	sample	sample	NOUN
eajbcs-263	79	14	acf	acf	NOUN
eajbcs-263	79	15	decays	decay	VERB
eajbcs-263	79	16	very	very	ADV
eajbcs-263	79	17	slowly	slowly	ADV
eajbcs-263	79	18	in	in	ADP
eajbcs-263	79	19	non	non	ADJ
eajbcs-263	79	20	-	-	ADJ
eajbcs-263	79	21	seasonal	seasonal	ADJ
eajbcs-263	79	22	and	and	CCONJ
eajbcs-263	79	23	seasonal	seasonal	ADJ
eajbcs-263	79	24	lag	lag	NOUN
eajbcs-263	79	25	snit	snit	NOUN
eajbcs-263	79	26	indicates	indicate	VERB
eajbcs-263	79	27	that	that	SCONJ
eajbcs-263	79	28	differencing	differencing	NOUN
eajbcs-263	79	29	is	be	AUX
eajbcs-263	79	30	wanted	want	VERB
eajbcs-263	79	31	and	and	CCONJ
eajbcs-263	79	32	an	an	DET
eajbcs-263	79	33	insinuation	insinuation	NOUN
eajbcs-263	79	34	for	for	ADP
eajbcs-263	79	35	series	series	NOUN
eajbcs-263	79	36	non	non	ADJ
eajbcs-263	79	37	-	-	ADJ
eajbcs-263	79	38	stationary	stationary	ADJ
eajbcs-263	79	39	.	.	PUNCT
eajbcs-263	80	1	constructing	construct	VERB
eajbcs-263	80	2	arima	arima	NOUN
eajbcs-263	80	3	model	model	NOUN
eajbcs-263	80	4	:	:	PUNCT
eajbcs-263	80	5	as	as	SCONJ
eajbcs-263	80	6	planned	plan	VERB
eajbcs-263	80	7	by	by	ADP
eajbcs-263	80	8	(	(	PUNCT
eajbcs-263	80	9	granger	granger	NOUN
eajbcs-263	80	10	and	and	CCONJ
eajbcs-263	80	11	newbold	newbold	PROPN
eajbcs-263	80	12	,	,	PUNCT
eajbcs-263	80	13	1986	1986	NUM
eajbcs-263	80	14	)	)	PUNCT
eajbcs-263	80	15	method	method	NOUN
eajbcs-263	80	16	,	,	PUNCT
eajbcs-263	80	17	in	in	ADP
eajbcs-263	80	18	order	order	NOUN
eajbcs-263	80	19	to	to	PART
eajbcs-263	80	20	construct	construct	VERB
eajbcs-263	80	21	arima	arima	PROPN
eajbcs-263	80	22	model	model	NOUN
eajbcs-263	80	23	for	for	ADP
eajbcs-263	80	24	a	a	DET
eajbcs-263	80	25	specific	specific	ADJ
eajbcs-263	80	26	time	time	NOUN
eajbcs-263	80	27	series	series	PROPN
eajbcs-263	80	28	data	data	PROPN
eajbcs-263	80	29	,	,	PUNCT
eajbcs-263	80	30	must	must	AUX
eajbcs-263	80	31	follow	follow	VERB
eajbcs-263	80	32	four	four	NUM
eajbcs-263	80	33	phases	phase	NOUN
eajbcs-263	80	34	:	:	PUNCT
eajbcs-263	80	35	model	model	NOUN
eajbcs-263	80	36	identification	identification	NOUN
eajbcs-263	80	37	,	,	PUNCT
eajbcs-263	80	38	estimation	estimation	NOUN
eajbcs-263	80	39	of	of	ADP
eajbcs-263	80	40	model	model	NOUN
eajbcs-263	80	41	parameters	parameter	NOUN
eajbcs-263	80	42	,	,	PUNCT
eajbcs-263	80	43	diagnostic	diagnostic	ADJ
eajbcs-263	80	44	checking	checking	NOUN
eajbcs-263	80	45	for	for	ADP
eajbcs-263	80	46	the	the	DET
eajbcs-263	80	47	identified	identify	VERB
eajbcs-263	80	48	model	model	NOUN
eajbcs-263	80	49	,	,	PUNCT
eajbcs-263	80	50	application	application	NOUN
eajbcs-263	80	51	of	of	ADP
eajbcs-263	80	52	the	the	DET
eajbcs-263	80	53	model	model	NOUN
eajbcs-263	80	54	(	(	PUNCT
eajbcs-263	80	55	forecasting	forecasting	NOUN
eajbcs-263	80	56	)	)	PUNCT
eajbcs-263	80	57	.	.	PUNCT
eajbcs-263	81	1	model	model	NOUN
eajbcs-263	81	2	identification	identification	NOUN
eajbcs-263	81	3	:	:	PUNCT
eajbcs-263	81	4	with	with	ADP
eajbcs-263	81	5	this	this	DET
eajbcs-263	81	6	phase	phase	NOUN
eajbcs-263	81	7	,	,	PUNCT
eajbcs-263	81	8	the	the	DET
eajbcs-263	81	9	amount	amount	NOUN
eajbcs-263	81	10	of	of	ADP
eajbcs-263	81	11	differencing	difference	VERB
eajbcs-263	81	12	compulsory	compulsory	ADJ
eajbcs-263	81	13	attaining	attain	VERB
eajbcs-263	81	14	stationary	stationary	NOUN
eajbcs-263	81	15	and	and	CCONJ
eajbcs-263	81	16	the	the	DET
eajbcs-263	81	17	order	order	NOUN
eajbcs-263	81	18	of	of	ADP
eajbcs-263	81	19	both	both	CCONJ
eajbcs-263	81	20	the	the	DET
eajbcs-263	81	21	seasonal	seasonal	ADJ
eajbcs-263	81	22	and	and	CCONJ
eajbcs-263	81	23	non	non	ADJ
eajbcs-263	81	24	-	-	ADJ
eajbcs-263	81	25	seasonal	seasonal	ADJ
eajbcs-263	81	26	ar	ar	PROPN
eajbcs-263	81	27	and	and	CCONJ
eajbcs-263	81	28	ma	ma	PROPN
eajbcs-263	81	29	operators	operator	NOUN
eajbcs-263	81	30	are	be	AUX
eajbcs-263	81	31	determined	determine	VERB
eajbcs-263	81	32	.	.	PUNCT
eajbcs-263	82	1	the	the	DET
eajbcs-263	82	2	autocorrelations	autocorrelation	NOUN
eajbcs-263	82	3	function	function	NOUN
eajbcs-263	82	4	(	(	PUNCT
eajbcs-263	82	5	acf	acf	PROPN
eajbcs-263	82	6	)	)	PUNCT
eajbcs-263	82	7	and	and	CCONJ
eajbcs-263	82	8	the	the	DET
eajbcs-263	82	9	partial	partial	ADJ
eajbcs-263	82	10	autocorrelation	autocorrelation	NOUN
eajbcs-263	82	11	functions	function	NOUN
eajbcs-263	82	12	(	(	PUNCT
eajbcs-263	82	13	pacf	pacf	NOUN
eajbcs-263	82	14	)	)	PUNCT
eajbcs-263	82	15	are	be	AUX
eajbcs-263	82	16	the	the	DET
eajbcs-263	82	17	two	two	NUM
eajbcs-263	82	18	most	most	ADV
eajbcs-263	82	19	valuable	valuable	ADJ
eajbcs-263	82	20	tools	tool	NOUN
eajbcs-263	82	21	in	in	ADP
eajbcs-263	82	22	any	any	DET
eajbcs-263	82	23	attempt	attempt	NOUN
eajbcs-263	82	24	at	at	ADP
eajbcs-263	82	25	time	time	NOUN
eajbcs-263	82	26	series	series	PROPN
eajbcs-263	82	27	model	model	PROPN
eajbcs-263	82	28	identification	identification	NOUN
eajbcs-263	82	29	(	(	PUNCT
eajbcs-263	82	30	shumway	shumway	NOUN
eajbcs-263	82	31	and	and	CCONJ
eajbcs-263	82	32	stoffer	stoffer	PROPN
eajbcs-263	82	33	,	,	PUNCT
eajbcs-263	82	34	2010	2010	NUM
eajbcs-263	82	35	)	)	PUNCT
eajbcs-263	82	36	.	.	PUNCT
eajbcs-263	83	1	to	to	PART
eajbcs-263	83	2	determine	determine	VERB
eajbcs-263	83	3	the	the	DET
eajbcs-263	83	4	number	number	NOUN
eajbcs-263	83	5	of	of	ADP
eajbcs-263	83	6	differencing	differencing	NOUN
eajbcs-263	83	7	(	(	PUNCT
eajbcs-263	83	8	d	d	NOUN
eajbcs-263	83	9	)	)	PUNCT
eajbcs-263	83	10	,	,	PUNCT
eajbcs-263	83	11	non	non	ADJ
eajbcs-263	83	12	-	-	ADJ
eajbcs-263	83	13	seasonal	seasonal	ADJ
eajbcs-263	83	14	autoregressive	autoregressive	ADJ
eajbcs-263	83	15	(	(	PUNCT
eajbcs-263	83	16	p	p	NOUN
eajbcs-263	83	17	)	)	PUNCT
eajbcs-263	83	18	and	and	CCONJ
eajbcs-263	83	19	moving	move	VERB
eajbcs-263	83	20	average	average	ADJ
eajbcs-263	83	21	(	(	PUNCT
eajbcs-263	83	22	q	q	NOUN
eajbcs-263	83	23	)	)	PUNCT
eajbcs-263	83	24	parameters	parameter	NOUN
eajbcs-263	83	25	,	,	PUNCT
eajbcs-263	83	26	the	the	DET
eajbcs-263	83	27	guideline	guideline	NOUN
eajbcs-263	83	28	specified	specify	VERB
eajbcs-263	83	29	in	in	ADP
eajbcs-263	83	30	(	(	PUNCT
eajbcs-263	83	31	lehmann	lehmann	PROPN
eajbcs-263	83	32	and	and	CCONJ
eajbcs-263	83	33	rode	ride	VERB
eajbcs-263	83	34	,	,	PUNCT
eajbcs-263	83	35	2001	2001	NUM
eajbcs-263	83	36	)	)	PUNCT
eajbcs-263	83	37	are	be	AUX
eajbcs-263	83	38	used	use	VERB
eajbcs-263	83	39	.	.	PUNCT
eajbcs-263	84	1	therefore	therefore	ADV
eajbcs-263	84	2	,	,	PUNCT
eajbcs-263	84	3	if	if	SCONJ
eajbcs-263	84	4	pacf	pacf	NOUN
eajbcs-263	84	5	cuts	cut	VERB
eajbcs-263	84	6	off	off	ADP
eajbcs-263	84	7	after	after	ADP
eajbcs-263	84	8	lags	lag	NOUN
eajbcs-263	84	9	q	q	NOUN
eajbcs-263	84	10	and	and	CCONJ
eajbcs-263	84	11	acf	acf	PROPN
eajbcs-263	84	12	tail	tail	NOUN
eajbcs-263	84	13	off	off	ADP
eajbcs-263	84	14	,	,	PUNCT
eajbcs-263	84	15	then	then	ADV
eajbcs-263	84	16	arima	arima	PROPN
eajbcs-263	84	17	(	(	PUNCT
eajbcs-263	84	18	0	0	NUM
eajbcs-263	84	19	,	,	PUNCT
eajbcs-263	84	20	d	d	NOUN
eajbcs-263	84	21	,	,	PUNCT
eajbcs-263	84	22	q	q	NOUN
eajbcs-263	84	23	)	)	PUNCT
eajbcs-263	84	24	model	model	NOUN
eajbcs-263	84	25	is	be	AUX
eajbcs-263	84	26	identified	identify	VERB
eajbcs-263	84	27	.	.	PUNCT
eajbcs-263	85	1	if	if	SCONJ
eajbcs-263	85	2	acf	acf	PROPN
eajbcs-263	85	3	cut	cut	VERB
eajbcs-263	85	4	off	off	ADP
eajbcs-263	85	5	after	after	ADP
eajbcs-263	85	6	lag	lag	NOUN
eajbcs-263	85	7	p	p	NOUN
eajbcs-263	85	8	and	and	CCONJ
eajbcs-263	85	9	pacf	pacf	NOUN
eajbcs-263	85	10	tail	tail	NOUN
eajbcs-263	85	11	off	off	ADP
eajbcs-263	85	12	,	,	PUNCT
eajbcs-263	85	13	arima	arima	PROPN
eajbcs-263	85	14	(	(	PUNCT
eajbcs-263	85	15	p	p	X
eajbcs-263	85	16	,	,	PUNCT
eajbcs-263	85	17	d	d	NOUN
eajbcs-263	85	18	,	,	PUNCT
eajbcs-263	85	19	0	0	NUM
eajbcs-263	85	20	)	)	PUNCT
eajbcs-263	85	21	model	model	NOUN
eajbcs-263	85	22	is	be	AUX
eajbcs-263	85	23	acquired	acquire	VERB
eajbcs-263	85	24	.	.	PUNCT
eajbcs-263	86	1	finally	finally	ADV
eajbcs-263	86	2	,	,	PUNCT
eajbcs-263	86	3	if	if	SCONJ
eajbcs-263	86	4	both	both	PRON
eajbcs-263	86	5	acf	acf	NOUN
eajbcs-263	86	6	and	and	CCONJ
eajbcs-263	86	7	pacf	pacf	NOUN
eajbcs-263	86	8	tail	tail	NOUN
eajbcs-263	86	9	off	off	ADP
eajbcs-263	86	10	,	,	PUNCT
eajbcs-263	86	11	then	then	ADV
eajbcs-263	86	12	the	the	DET
eajbcs-263	86	13	recognized	recognize	VERB
eajbcs-263	86	14	model	model	NOUN
eajbcs-263	86	15	will	will	AUX
eajbcs-263	86	16	be	be	AUX
eajbcs-263	86	17	arima	arima	PROPN
eajbcs-263	86	18	(	(	PUNCT
eajbcs-263	86	19	p	p	X
eajbcs-263	86	20	,	,	PUNCT
eajbcs-263	86	21	d	d	NOUN
eajbcs-263	86	22	,	,	PUNCT
eajbcs-263	86	23	q	q	NOUN
eajbcs-263	86	24	)	)	PUNCT
eajbcs-263	86	25	.	.	PUNCT
eajbcs-263	87	1	parameter	parameter	PROPN
eajbcs-263	87	2	estimation	estimation	PROPN
eajbcs-263	87	3	:	:	PUNCT
eajbcs-263	87	4	after	after	ADP
eajbcs-263	87	5	selecting	select	VERB
eajbcs-263	87	6	the	the	DET
eajbcs-263	87	7	most	most	ADV
eajbcs-263	87	8	suitable	suitable	ADJ
eajbcs-263	87	9	arima	arima	PROPN
eajbcs-263	87	10	model	model	NOUN
eajbcs-263	87	11	,	,	PUNCT
eajbcs-263	87	12	the	the	DET
eajbcs-263	87	13	parameters	parameter	NOUN
eajbcs-263	87	14	are	be	AUX
eajbcs-263	87	15	estimated	estimate	VERB
eajbcs-263	87	16	by	by	ADP
eajbcs-263	87	17	maximum	maximum	ADJ
eajbcs-263	87	18	likelihood	likelihood	NOUN
eajbcs-263	87	19	estimation	estimation	NOUN
eajbcs-263	87	20	.	.	PUNCT
eajbcs-263	88	1	diagnostic	diagnostic	ADJ
eajbcs-263	88	2	checking	checking	NOUN
eajbcs-263	88	3	:	:	PUNCT
eajbcs-263	88	4	it	it	PRON
eajbcs-263	88	5	deals	deal	VERB
eajbcs-263	88	6	with	with	ADP
eajbcs-263	88	7	the	the	DET
eajbcs-263	88	8	residual	residual	ADJ
eajbcs-263	88	9	assumptions	assumption	NOUN
eajbcs-263	88	10	in	in	ADP
eajbcs-263	88	11	order	order	NOUN
eajbcs-263	88	12	to	to	PART
eajbcs-263	88	13	decide	decide	VERB
eajbcs-263	88	14	whether	whether	SCONJ
eajbcs-263	88	15	the	the	DET
eajbcs-263	88	16	residuals	residual	NOUN
eajbcs-263	88	17	from	from	ADP
eajbcs-263	88	18	fitted	fit	VERB
eajbcs-263	88	19	model	model	NOUN
eajbcs-263	88	20	are	be	AUX
eajbcs-263	88	21	independent	independent	ADJ
eajbcs-263	88	22	,	,	PUNCT
eajbcs-263	88	23	constant	constant	ADJ
eajbcs-263	88	24	variance	variance	NOUN
eajbcs-263	88	25	(	(	PUNCT
eajbcs-263	88	26	lehmann	lehmann	PROPN
eajbcs-263	88	27	and	and	CCONJ
eajbcs-263	88	28	rode	ride	VERB
eajbcs-263	88	29	,	,	PUNCT
eajbcs-263	88	30	2001	2001	NUM
eajbcs-263	88	31	)	)	PUNCT
eajbcs-263	88	32	.	.	PUNCT
eajbcs-263	89	1	east	east	PROPN
eajbcs-263	89	2	afr	afr	PROPN
eajbcs-263	89	3	.	.	PUNCT
eajbcs-263	90	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	90	2	.	.	PUNCT
eajbcs-263	91	1	sci	sci	PROPN
eajbcs-263	91	2	.	.	PUNCT
eajbcs-263	92	1	(	(	PUNCT
eajbcs-263	92	2	2022	2022	NUM
eajbcs-263	92	3	)	)	PUNCT
eajbcs-263	92	4	,	,	PUNCT
eajbcs-263	92	5	vol	vol	NOUN
eajbcs-263	92	6	.	.	PROPN
eajbcs-263	93	1	3	3	NUM
eajbcs-263	93	2	,	,	PUNCT
eajbcs-263	93	3	no	no	INTJ
eajbcs-263	93	4	.	.	NOUN
eajbcs-263	93	5	1	1	NUM
eajbcs-263	93	6	,	,	PUNCT
eajbcs-263	93	7	58	58	NUM
eajbcs-263	93	8	-	-	SYM
eajbcs-263	93	9	68	68	NUM
eajbcs-263	93	10	62	62	NUM
eajbcs-263	93	11	visual	visual	ADJ
eajbcs-263	93	12	analysis	analysis	NOUN
eajbcs-263	93	13	:	:	PUNCT
eajbcs-263	93	14	it	it	PRON
eajbcs-263	93	15	is	be	AUX
eajbcs-263	93	16	a	a	DET
eajbcs-263	93	17	method	method	NOUN
eajbcs-263	93	18	for	for	ADP
eajbcs-263	93	19	investigating	investigate	VERB
eajbcs-263	93	20	plot	plot	NOUN
eajbcs-263	93	21	of	of	ADP
eajbcs-263	93	22	the	the	DET
eajbcs-263	93	23	residual	residual	ADJ
eajbcs-263	93	24	over	over	ADP
eajbcs-263	93	25	time	time	NOUN
eajbcs-263	93	26	.	.	PUNCT
eajbcs-263	94	1	if	if	SCONJ
eajbcs-263	94	2	visual	visual	ADJ
eajbcs-263	94	3	reviews	review	NOUN
eajbcs-263	94	4	of	of	ADP
eajbcs-263	94	5	the	the	DET
eajbcs-263	94	6	plot	plot	NOUN
eajbcs-263	94	7	tell	tell	VERB
eajbcs-263	94	8	that	that	SCONJ
eajbcs-263	94	9	they	they	PRON
eajbcs-263	94	10	are	be	AUX
eajbcs-263	94	11	haphazardly	haphazardly	ADV
eajbcs-263	94	12	distributed	distribute	VERB
eajbcs-263	94	13	over	over	ADP
eajbcs-263	94	14	time	time	NOUN
eajbcs-263	94	15	,	,	PUNCT
eajbcs-263	94	16	then	then	ADV
eajbcs-263	94	17	it	it	PRON
eajbcs-263	94	18	is	be	AUX
eajbcs-263	94	19	a	a	DET
eajbcs-263	94	20	residual	residual	ADJ
eajbcs-263	94	21	independence	independence	NOUN
eajbcs-263	94	22	(	(	PUNCT
eajbcs-263	94	23	lehmann	lehmann	PROPN
eajbcs-263	94	24	and	and	CCONJ
eajbcs-263	94	25	rode	ride	VERB
eajbcs-263	94	26	,	,	PUNCT
eajbcs-263	94	27	2001	2001	NUM
eajbcs-263	94	28	)	)	PUNCT
eajbcs-263	94	29	.	.	PUNCT
eajbcs-263	95	1	residual	residual	ADJ
eajbcs-263	95	2	autocorrelation	autocorrelation	NOUN
eajbcs-263	95	3	function	function	NOUN
eajbcs-263	95	4	(	(	PUNCT
eajbcs-263	95	5	racf	racf	PROPN
eajbcs-263	95	6	):	):	PUNCT
eajbcs-263	95	7	with	with	ADP
eajbcs-263	95	8	this	this	DET
eajbcs-263	95	9	test	test	NOUN
eajbcs-263	95	10	,	,	PUNCT
eajbcs-263	95	11	to	to	PART
eajbcs-263	95	12	say	say	VERB
eajbcs-263	95	13	that	that	SCONJ
eajbcs-263	95	14	residual	residual	ADJ
eajbcs-263	95	15	follows	follow	VERB
eajbcs-263	95	16	a	a	DET
eajbcs-263	95	17	white	white	ADJ
eajbcs-263	95	18	noise	noise	NOUN
eajbcs-263	95	19	process	process	NOUN
eajbcs-263	95	20	,	,	PUNCT
eajbcs-263	95	21	roughly	roughly	ADV
eajbcs-263	95	22	95	95	NUM
eajbcs-263	95	23	%	%	NOUN
eajbcs-263	95	24	of	of	ADP
eajbcs-263	95	25	the	the	DET
eajbcs-263	95	26	autocorrelation	autocorrelation	NOUN
eajbcs-263	95	27	coefficient	coefficient	NOUN
eajbcs-263	95	28	should	should	AUX
eajbcs-263	95	29	fall	fall	VERB
eajbcs-263	95	30	within	within	ADP
eajbcs-263	95	31	the	the	DET
eajbcs-263	95	32	range	range	NOUN
eajbcs-263	95	33	of	of	ADP
eajbcs-263	95	34	±1.96	±1.96	PROPN
eajbcs-263	95	35	/	/	SYM
eajbcs-263	95	36	squ(n	squ(n	PROPN
eajbcs-263	95	37	)	)	PUNCT
eajbcs-263	95	38	(	(	PUNCT
eajbcs-263	95	39	grasselli	grasselli	PROPN
eajbcs-263	95	40	et	et	PROPN
eajbcs-263	95	41	al	al	PROPN
eajbcs-263	95	42	,	,	PUNCT
eajbcs-263	95	43	2020	2020	NUM
eajbcs-263	95	44	)	)	PUNCT
eajbcs-263	95	45	.	.	PUNCT
eajbcs-263	96	1	if	if	SCONJ
eajbcs-263	96	2	the	the	DET
eajbcs-263	96	3	nominated	nominate	VERB
eajbcs-263	96	4	model	model	NOUN
eajbcs-263	96	5	is	be	AUX
eajbcs-263	96	6	insufficient	insufficient	ADJ
eajbcs-263	96	7	,	,	PUNCT
eajbcs-263	96	8	the	the	DET
eajbcs-263	96	9	three	three	NUM
eajbcs-263	96	10	-	-	PUNCT
eajbcs-263	96	11	step	step	NOUN
eajbcs-263	96	12	model	model	NOUN
eajbcs-263	96	13	building	building	NOUN
eajbcs-263	96	14	process	process	NOUN
eajbcs-263	96	15	with	with	ADP
eajbcs-263	96	16	other	other	ADJ
eajbcs-263	96	17	model	model	NOUN
eajbcs-263	96	18	is	be	AUX
eajbcs-263	96	19	typically	typically	ADV
eajbcs-263	96	20	repeated	repeat	VERB
eajbcs-263	96	21	many	many	ADJ
eajbcs-263	96	22	times	time	NOUN
eajbcs-263	96	23	until	until	SCONJ
eajbcs-263	96	24	a	a	DET
eajbcs-263	96	25	satisfactory	satisfactory	ADJ
eajbcs-263	96	26	model	model	NOUN
eajbcs-263	96	27	obtained	obtain	VERB
eajbcs-263	96	28	.	.	PUNCT
eajbcs-263	97	1	the	the	DET
eajbcs-263	97	2	final	final	ADJ
eajbcs-263	97	3	model	model	NOUN
eajbcs-263	97	4	selected	select	VERB
eajbcs-263	97	5	can	can	AUX
eajbcs-263	97	6	then	then	ADV
eajbcs-263	97	7	be	be	AUX
eajbcs-263	97	8	used	use	VERB
eajbcs-263	97	9	for	for	ADP
eajbcs-263	97	10	forecast	forecast	NOUN
eajbcs-263	97	11	determinations	determination	NOUN
eajbcs-263	97	12	(	(	PUNCT
eajbcs-263	97	13	box	box	NOUN
eajbcs-263	97	14	and	and	CCONJ
eajbcs-263	97	15	jenkins	jenkin	NOUN
eajbcs-263	97	16	,	,	PUNCT
eajbcs-263	97	17	1976	1976	NUM
eajbcs-263	97	18	)	)	PUNCT
eajbcs-263	97	19	.	.	PUNCT
eajbcs-263	98	1	figure	figure	VERB
eajbcs-263	98	2	1	1	NUM
eajbcs-263	98	3	distribution	distribution	NOUN
eajbcs-263	98	4	of	of	ADP
eajbcs-263	98	5	confirmed	confirm	VERB
eajbcs-263	98	6	cases	case	NOUN
eajbcs-263	98	7	of	of	ADP
eajbcs-263	98	8	covid19	covid19	NOUN
eajbcs-263	98	9	in	in	ADP
eajbcs-263	98	10	ethiopia(mar	ethiopia(mar	PROPN
eajbcs-263	98	11	3	3	NUM
eajbcs-263	98	12	,	,	PUNCT
eajbcs-263	98	13	2020jan	2020jan	NUM
eajbcs-263	98	14	3	3	NUM
eajbcs-263	98	15	,	,	PUNCT
eajbcs-263	98	16	2021	2021	NUM
eajbcs-263	98	17	)	)	PUNCT
eajbcs-263	99	1	predicting	predict	VERB
eajbcs-263	99	2	:	:	PUNCT
eajbcs-263	99	3	it	it	PRON
eajbcs-263	99	4	is	be	AUX
eajbcs-263	99	5	last	last	ADJ
eajbcs-263	99	6	phase	phase	NOUN
eajbcs-263	99	7	in	in	ADP
eajbcs-263	99	8	time	time	NOUN
eajbcs-263	99	9	series	series	PROPN
eajbcs-263	99	10	modelling	modelling	PROPN
eajbcs-263	99	11	,	,	PUNCT
eajbcs-263	99	12	the	the	DET
eajbcs-263	99	13	aim	aim	NOUN
eajbcs-263	99	14	is	be	AUX
eajbcs-263	99	15	to	to	PART
eajbcs-263	99	16	forecast	forecast	VERB
eajbcs-263	99	17	future	future	ADJ
eajbcs-263	99	18	values	value	NOUN
eajbcs-263	99	19	of	of	ADP
eajbcs-263	99	20	a	a	DET
eajbcs-263	99	21	time	time	NOUN
eajbcs-263	99	22	series	series	NOUN
eajbcs-263	99	23	,	,	PUNCT
eajbcs-263	99	24	𝑋𝑡	𝑋𝑡	PROPN
eajbcs-263	99	25	+	+	CCONJ
eajbcs-263	99	26	𝑚	𝑚	PROPN
eajbcs-263	99	27	,	,	PUNCT
eajbcs-263	99	28	𝑚	𝑚	X
eajbcs-263	99	29	=	=	SYM
eajbcs-263	99	30	1,2	1,2	NUM
eajbcs-263	99	31	,	,	PUNCT
eajbcs-263	99	32	…	…	PUNCT
eajbcs-263	99	33	based	base	VERB
eajbcs-263	99	34	on	on	ADP
eajbcs-263	99	35	the	the	DET
eajbcs-263	99	36	data	datum	NOUN
eajbcs-263	99	37	collected	collect	VERB
eajbcs-263	99	38	to	to	ADP
eajbcs-263	99	39	the	the	DET
eajbcs-263	99	40	present	present	NOUN
eajbcs-263	99	41	,	,	PUNCT
eajbcs-263	99	42	𝑋	𝑋	NOUN
eajbcs-263	99	43	=	=	SYM
eajbcs-263	99	44	{	{	PUNCT
eajbcs-263	99	45	𝑋𝑡	𝑋𝑡	PROPN
eajbcs-263	99	46	,	,	PUNCT
eajbcs-263	99	47	𝑋𝑡	𝑋𝑡	PROPN
eajbcs-263	99	48	−	−	PROPN
eajbcs-263	99	49	1	1	NUM
eajbcs-263	99	50	,	,	PUNCT
eajbcs-263	99	51	…	…	PUNCT
eajbcs-263	99	52	,	,	PUNCT
eajbcs-263	99	53	𝑋𝑙	𝑋𝑙	NOUN
eajbcs-263	99	54	}	}	PUNCT
eajbcs-263	99	55	.	.	PUNCT
eajbcs-263	100	1	qmtqmtdpmtdpmtmt	qmtqmtdpmtdpmtmt	PROPN
eajbcs-263	100	2	wwxxx	wwxxx	PROPN
eajbcs-263	100	3			PROPN
eajbcs-263	100	4			NOUN
eajbcs-263	100	5			NOUN
eajbcs-263	100	6	......	......	PUNCT
eajbcs-263	101	1	1111	1111	NUM
eajbcs-263	101	2	results	result	VERB
eajbcs-263	101	3	descriptive	descriptive	ADJ
eajbcs-263	101	4	analysis	analysis	NOUN
eajbcs-263	101	5	results	result	VERB
eajbcs-263	101	6	the	the	DET
eajbcs-263	101	7	first	first	ADJ
eajbcs-263	101	8	confirmed	confirm	VERB
eajbcs-263	101	9	case	case	NOUN
eajbcs-263	101	10	of	of	ADP
eajbcs-263	101	11	the	the	DET
eajbcs-263	101	12	covid-19	covid-19	PROPN
eajbcs-263	101	13	in	in	ADP
eajbcs-263	101	14	ethiopia	ethiopia	PROPN
eajbcs-263	101	15	(	(	PUNCT
eajbcs-263	101	16	the	the	DET
eajbcs-263	101	17	index	index	NOUN
eajbcs-263	101	18	case	case	NOUN
eajbcs-263	101	19	)	)	PUNCT
eajbcs-263	101	20	is	be	AUX
eajbcs-263	101	21	described	describe	VERB
eajbcs-263	101	22	on	on	ADP
eajbcs-263	101	23	13	13	NUM
eajbcs-263	101	24	march	march	NOUN
eajbcs-263	101	25	2020	2020	NUM
eajbcs-263	101	26	with	with	ADP
eajbcs-263	101	27	one	one	NUM
eajbcs-263	101	28	infected	infected	ADJ
eajbcs-263	101	29	foreigner	foreigner	NOUN
eajbcs-263	101	30	.	.	PUNCT
eajbcs-263	102	1	then	then	ADV
eajbcs-263	102	2	after	after	ADV
eajbcs-263	102	3	,	,	PUNCT
eajbcs-263	102	4	the	the	DET
eajbcs-263	102	5	administration	administration	NOUN
eajbcs-263	102	6	of	of	ADP
eajbcs-263	102	7	ethiopia	ethiopia	PROPN
eajbcs-263	102	8	has	have	VERB
eajbcs-263	102	9	without	without	ADP
eajbcs-263	102	10	delay	delay	NOUN
eajbcs-263	102	11	in	in	ADP
eajbcs-263	102	12	use	use	VERB
eajbcs-263	102	13	different	different	ADJ
eajbcs-263	102	14	measures	measure	NOUN
eajbcs-263	102	15	to	to	PART
eajbcs-263	102	16	put	put	VERB
eajbcs-263	102	17	off	off	ADP
eajbcs-263	102	18	and	and	CCONJ
eajbcs-263	102	19	manage	manage	VERB
eajbcs-263	102	20	the	the	DET
eajbcs-263	102	21	infection	infection	NOUN
eajbcs-263	102	22	,	,	PUNCT
eajbcs-263	102	23	but	but	CCONJ
eajbcs-263	102	24	the	the	DET
eajbcs-263	102	25	case	case	NOUN
eajbcs-263	102	26	has	have	AUX
eajbcs-263	102	27	been	be	AUX
eajbcs-263	102	28	expontially	expontially	ADV
eajbcs-263	102	29	increasing	increase	VERB
eajbcs-263	102	30	and	and	CCONJ
eajbcs-263	102	31	widely	widely	ADV
eajbcs-263	102	32	distributing	distribute	VERB
eajbcs-263	102	33	until	until	ADP
eajbcs-263	102	34	sep	sep	PROPN
eajbcs-263	102	35	1	1	NUM
eajbcs-263	102	36	,	,	PUNCT
eajbcs-263	102	37	2020	2020	NUM
eajbcs-263	102	38	.	.	PUNCT
eajbcs-263	103	1	from	from	ADP
eajbcs-263	103	2	aug	aug	PROPN
eajbcs-263	103	3	01	01	NUM
eajbcs-263	103	4	,	,	PUNCT
eajbcs-263	103	5	2020	2020	NUM
eajbcs-263	103	6	to	to	ADP
eajbcs-263	103	7	oct	oct	PROPN
eajbcs-263	103	8	01	01	NUM
eajbcs-263	103	9	,	,	PUNCT
eajbcs-263	103	10	2020	2020	NUM
eajbcs-263	103	11	large	large	ADJ
eajbcs-263	103	12	number	number	NOUN
eajbcs-263	103	13	of	of	ADP
eajbcs-263	103	14	people	people	NOUN
eajbcs-263	103	15	are	be	AUX
eajbcs-263	103	16	infected	infect	VERB
eajbcs-263	103	17	by	by	ADP
eajbcs-263	103	18	the	the	DET
eajbcs-263	103	19	virus	virus	NOUN
eajbcs-263	103	20	and	and	CCONJ
eajbcs-263	103	21	the	the	DET
eajbcs-263	103	22	number	number	NOUN
eajbcs-263	103	23	of	of	ADP
eajbcs-263	103	24	infection	infection	NOUN
eajbcs-263	103	25	shows	show	VERB
eajbcs-263	103	26	slight	slight	ADJ
eajbcs-263	103	27	decline	decline	NOUN
eajbcs-263	103	28	until	until	ADP
eajbcs-263	103	29	the	the	DET
eajbcs-263	103	30	study	study	NOUN
eajbcs-263	103	31	period	period	NOUN
eajbcs-263	103	32	jan	jan	PROPN
eajbcs-263	103	33	3	3	NUM
eajbcs-263	103	34	,	,	PUNCT
eajbcs-263	103	35	2021	2021	NUM
eajbcs-263	103	36	(	(	PUNCT
eajbcs-263	103	37	fig.1	fig.1	PROPN
eajbcs-263	103	38	)	)	PUNCT
eajbcs-263	103	39	.	.	PUNCT
eajbcs-263	104	1	similarly	similarly	ADV
eajbcs-263	104	2	,	,	PUNCT
eajbcs-263	104	3	the	the	DET
eajbcs-263	104	4	first	first	ADJ
eajbcs-263	104	5	recovered	recovered	ADJ
eajbcs-263	104	6	cases	case	NOUN
eajbcs-263	104	7	reported	report	VERB
eajbcs-263	104	8	on	on	ADP
eajbcs-263	104	9	jun	jun	PROPN
eajbcs-263	104	10	01	01	NUM
eajbcs-263	104	11	,	,	PUNCT
eajbcs-263	104	12	2020	2020	NUM
eajbcs-263	104	13	and	and	CCONJ
eajbcs-263	104	14	the	the	DET
eajbcs-263	104	15	recovery	recovery	NOUN
eajbcs-263	104	16	cases	case	NOUN
eajbcs-263	104	17	increased	increase	VERB
eajbcs-263	104	18	parallel	parallel	ADJ
eajbcs-263	104	19	with	with	ADP
eajbcs-263	104	20	the	the	DET
eajbcs-263	104	21	confirmed	confirm	VERB
eajbcs-263	104	22	cases	case	NOUN
eajbcs-263	104	23	.	.	PUNCT
eajbcs-263	105	1	there	there	PRON
eajbcs-263	105	2	was	be	VERB
eajbcs-263	105	3	a	a	DET
eajbcs-263	105	4	large	large	ADJ
eajbcs-263	105	5	number	number	NOUN
eajbcs-263	105	6	recovery	recovery	NOUN
eajbcs-263	105	7	cases	case	NOUN
eajbcs-263	105	8	during	during	ADP
eajbcs-263	105	9	december	december	PROPN
eajbcs-263	105	10	1	1	NUM
eajbcs-263	105	11	,	,	PUNCT
eajbcs-263	105	12	2020	2020	NUM
eajbcs-263	105	13	to	to	ADP
eajbcs-263	105	14	january	january	PROPN
eajbcs-263	105	15	1	1	NUM
eajbcs-263	105	16	,	,	PUNCT
eajbcs-263	105	17	2021	2021	NUM
eajbcs-263	105	18	(	(	PUNCT
eajbcs-263	105	19	fig	fig	NOUN
eajbcs-263	105	20	2	2	NUM
eajbcs-263	105	21	)	)	PUNCT
eajbcs-263	105	22	.	.	PUNCT
eajbcs-263	106	1	figure2	figure2	ADJ
eajbcs-263	106	2	:	:	PUNCT
eajbcs-263	106	3	distribution	distribution	NOUN
eajbcs-263	106	4	of	of	ADP
eajbcs-263	106	5	covid-19	covid-19	PROPN
eajbcs-263	106	6	recovered	recover	VERB
eajbcs-263	106	7	case	case	NOUN
eajbcs-263	106	8	in	in	ADP
eajbcs-263	106	9	ethiopia	ethiopia	PROPN
eajbcs-263	106	10	(	(	PUNCT
eajbcs-263	106	11	13	13	NUM
eajbcs-263	106	12	mar	mar	PROPN
eajbcs-263	106	13	,	,	PUNCT
eajbcs-263	106	14	2020	2020	NUM
eajbcs-263	106	15	-	-	SYM
eajbcs-263	106	16	jan	jan	PROPN
eajbcs-263	106	17	3	3	NUM
eajbcs-263	106	18	,	,	PUNCT
eajbcs-263	106	19	2021	2021	NUM
eajbcs-263	106	20	)	)	PUNCT
eajbcs-263	106	21	as	as	SCONJ
eajbcs-263	106	22	shown	show	VERB
eajbcs-263	106	23	in	in	ADP
eajbcs-263	106	24	fig	fig	NOUN
eajbcs-263	106	25	3	3	NUM
eajbcs-263	106	26	,	,	PUNCT
eajbcs-263	106	27	the	the	DET
eajbcs-263	106	28	first	first	ADJ
eajbcs-263	106	29	mortality	mortality	NOUN
eajbcs-263	106	30	/	/	SYM
eajbcs-263	106	31	death	death	NOUN
eajbcs-263	106	32	case	case	NOUN
eajbcs-263	106	33	was	be	AUX
eajbcs-263	106	34	reported	report	VERB
eajbcs-263	106	35	on	on	ADP
eajbcs-263	106	36	april	april	PROPN
eajbcs-263	106	37	2	2	NUM
eajbcs-263	106	38	,	,	PUNCT
eajbcs-263	106	39	2020	2020	NUM
eajbcs-263	106	40	.	.	PUNCT
eajbcs-263	107	1	the	the	DET
eajbcs-263	107	2	number	number	NOUN
eajbcs-263	107	3	of	of	ADP
eajbcs-263	107	4	deaths	death	NOUN
eajbcs-263	107	5	was	be	AUX
eajbcs-263	107	6	increasing	increase	VERB
eajbcs-263	107	7	with	with	ADP
eajbcs-263	107	8	the	the	DET
eajbcs-263	107	9	increase	increase	NOUN
eajbcs-263	107	10	of	of	ADP
eajbcs-263	107	11	the	the	DET
eajbcs-263	107	12	number	number	NOUN
eajbcs-263	107	13	of	of	ADP
eajbcs-263	107	14	confirmed	confirm	VERB
eajbcs-263	107	15	cases	case	NOUN
eajbcs-263	107	16	.	.	PUNCT
eajbcs-263	108	1	high	high	ADJ
eajbcs-263	108	2	number	number	NOUN
eajbcs-263	108	3	of	of	ADP
eajbcs-263	108	4	deaths	death	NOUN
eajbcs-263	108	5	in	in	ADP
eajbcs-263	108	6	ethiopia	ethiopia	PROPN
eajbcs-263	108	7	was	be	AUX
eajbcs-263	108	8	reported	report	VERB
eajbcs-263	108	9	during	during	ADP
eajbcs-263	108	10	aug	aug	PROPN
eajbcs-263	108	11	03	03	NUM
eajbcs-263	108	12	,	,	PUNCT
eajbcs-263	108	13	2020	2020	NUM
eajbcs-263	108	14	–	–	PUNCT
eajbcs-263	108	15	oct	oct	PROPN
eajbcs-263	108	16	1	1	NUM
eajbcs-263	108	17	,	,	PUNCT
eajbcs-263	108	18	2020	2020	NUM
eajbcs-263	108	19	.	.	PUNCT
eajbcs-263	109	1	as	as	SCONJ
eajbcs-263	109	2	shown	show	VERB
eajbcs-263	109	3	on	on	ADP
eajbcs-263	109	4	fig	fig	NOUN
eajbcs-263	109	5	4	4	NUM
eajbcs-263	109	6	,	,	PUNCT
eajbcs-263	109	7	the	the	DET
eajbcs-263	109	8	east	east	PROPN
eajbcs-263	109	9	afr	afr	PROPN
eajbcs-263	109	10	.	.	PUNCT
eajbcs-263	110	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	110	2	.	.	PUNCT
eajbcs-263	111	1	sci	sci	PROPN
eajbcs-263	111	2	.	.	PUNCT
eajbcs-263	112	1	(	(	PUNCT
eajbcs-263	112	2	2022	2022	NUM
eajbcs-263	112	3	)	)	PUNCT
eajbcs-263	112	4	,	,	PUNCT
eajbcs-263	112	5	vol	vol	NOUN
eajbcs-263	112	6	.	.	PROPN
eajbcs-263	113	1	3	3	NUM
eajbcs-263	113	2	,	,	PUNCT
eajbcs-263	113	3	no	no	INTJ
eajbcs-263	113	4	.	.	NOUN
eajbcs-263	113	5	1	1	NUM
eajbcs-263	113	6	,	,	PUNCT
eajbcs-263	113	7	58	58	NUM
eajbcs-263	113	8	-	-	SYM
eajbcs-263	113	9	68	68	NUM
eajbcs-263	113	10	63	63	NUM
eajbcs-263	113	11	confirmed	confirm	VERB
eajbcs-263	113	12	numbers	number	NOUN
eajbcs-263	113	13	of	of	ADP
eajbcs-263	113	14	cases	case	NOUN
eajbcs-263	113	15	are	be	AUX
eajbcs-263	113	16	increasing	increase	VERB
eajbcs-263	113	17	and	and	CCONJ
eajbcs-263	113	18	the	the	DET
eajbcs-263	113	19	recovery	recovery	NOUN
eajbcs-263	113	20	case	case	NOUN
eajbcs-263	113	21	is	be	AUX
eajbcs-263	113	22	also	also	ADV
eajbcs-263	113	23	more	more	ADV
eajbcs-263	113	24	increasing	increase	VERB
eajbcs-263	113	25	parallel	parallel	NOUN
eajbcs-263	113	26	to	to	ADP
eajbcs-263	113	27	the	the	DET
eajbcs-263	113	28	confirmed	confirm	VERB
eajbcs-263	113	29	cases	case	NOUN
eajbcs-263	113	30	.	.	PUNCT
eajbcs-263	114	1	figure	figure	VERB
eajbcs-263	114	2	3	3	NUM
eajbcs-263	114	3	:	:	PUNCT
eajbcs-263	114	4	distribution	distribution	NOUN
eajbcs-263	114	5	of	of	ADP
eajbcs-263	114	6	death	death	NOUN
eajbcs-263	114	7	cases	case	NOUN
eajbcs-263	114	8	in	in	ADP
eajbcs-263	114	9	ethiopia	ethiopia	PROPN
eajbcs-263	114	10	(	(	PUNCT
eajbcs-263	114	11	mar	mar	PROPN
eajbcs-263	114	12	3	3	NUM
eajbcs-263	114	13	,	,	PUNCT
eajbcs-263	114	14	2020	2020	NUM
eajbcs-263	114	15	-	-	PUNCT
eajbcs-263	114	16	jan3	jan3	PROPN
eajbcs-263	114	17	,	,	PUNCT
eajbcs-263	114	18	2021	2021	NUM
eajbcs-263	114	19	)	)	PUNCT
eajbcs-263	114	20	the	the	DET
eajbcs-263	114	21	number	number	NOUN
eajbcs-263	114	22	of	of	ADP
eajbcs-263	114	23	death	death	NOUN
eajbcs-263	114	24	cases	case	NOUN
eajbcs-263	114	25	is	be	AUX
eajbcs-263	114	26	also	also	ADV
eajbcs-263	114	27	increasing	increase	VERB
eajbcs-263	114	28	but	but	CCONJ
eajbcs-263	114	29	interestingly	interestingly	ADV
eajbcs-263	114	30	the	the	DET
eajbcs-263	114	31	recovery	recovery	NOUN
eajbcs-263	114	32	cases	case	NOUN
eajbcs-263	114	33	(	(	PUNCT
eajbcs-263	114	34	green	green	ADJ
eajbcs-263	114	35	line	line	NOUN
eajbcs-263	114	36	)	)	PUNCT
eajbcs-263	114	37	is	be	AUX
eajbcs-263	114	38	very	very	ADV
eajbcs-263	114	39	closed	closed	ADJ
eajbcs-263	114	40	to	to	ADP
eajbcs-263	114	41	confirmed	confirm	VERB
eajbcs-263	114	42	cases	case	NOUN
eajbcs-263	114	43	(	(	PUNCT
eajbcs-263	114	44	blue	blue	ADJ
eajbcs-263	114	45	line	line	NOUN
eajbcs-263	114	46	)	)	PUNCT
eajbcs-263	114	47	but	but	CCONJ
eajbcs-263	114	48	the	the	DET
eajbcs-263	114	49	death	death	NOUN
eajbcs-263	114	50	(	(	PUNCT
eajbcs-263	114	51	yellow	yellow	ADJ
eajbcs-263	114	52	line	line	NOUN
eajbcs-263	114	53	)	)	PUNCT
eajbcs-263	114	54	is	be	AUX
eajbcs-263	114	55	going	go	VERB
eajbcs-263	114	56	away	away	ADV
eajbcs-263	114	57	from	from	ADP
eajbcs-263	114	58	the	the	DET
eajbcs-263	114	59	confirmed	confirm	VERB
eajbcs-263	114	60	cases	case	NOUN
eajbcs-263	114	61	(	(	PUNCT
eajbcs-263	114	62	blue	blue	ADJ
eajbcs-263	114	63	line	line	NOUN
eajbcs-263	114	64	)	)	PUNCT
eajbcs-263	114	65	,	,	PUNCT
eajbcs-263	114	66	that	that	ADV
eajbcs-263	114	67	is	is	ADV
eajbcs-263	114	68	,	,	PUNCT
eajbcs-263	114	69	the	the	DET
eajbcs-263	114	70	death	death	NOUN
eajbcs-263	114	71	cases	case	NOUN
eajbcs-263	114	72	are	be	AUX
eajbcs-263	114	73	not	not	PART
eajbcs-263	114	74	increasing	increase	VERB
eajbcs-263	114	75	in	in	ADP
eajbcs-263	114	76	the	the	DET
eajbcs-263	114	77	same	same	ADJ
eajbcs-263	114	78	level	level	NOUN
eajbcs-263	114	79	as	as	ADP
eajbcs-263	114	80	confirmed	confirm	VERB
eajbcs-263	114	81	cases	case	NOUN
eajbcs-263	114	82	and	and	CCONJ
eajbcs-263	114	83	the	the	DET
eajbcs-263	114	84	death	death	NOUN
eajbcs-263	114	85	line	line	NOUN
eajbcs-263	114	86	is	be	AUX
eajbcs-263	114	87	getting	get	VERB
eajbcs-263	114	88	flat	flat	ADJ
eajbcs-263	114	89	.	.	PUNCT
eajbcs-263	115	1	figure	figure	VERB
eajbcs-263	115	2	4	4	NUM
eajbcs-263	115	3	:	:	PUNCT
eajbcs-263	115	4	covid-19	covid-19	PROPN
eajbcs-263	115	5	confirmed	confirm	VERB
eajbcs-263	115	6	,	,	PUNCT
eajbcs-263	115	7	recovered	recovered	ADJ
eajbcs-263	115	8	and	and	CCONJ
eajbcs-263	115	9	death	death	NOUN
eajbcs-263	115	10	cases	case	NOUN
eajbcs-263	115	11	in	in	ADP
eajbcs-263	115	12	ethiopia	ethiopia	PROPN
eajbcs-263	115	13	(	(	PUNCT
eajbcs-263	115	14	mar	mar	PROPN
eajbcs-263	115	15	3	3	NUM
eajbcs-263	115	16	,	,	PUNCT
eajbcs-263	115	17	2020	2020	NUM
eajbcs-263	115	18	-	-	PUNCT
eajbcs-263	115	19	jan3	jan3	PROPN
eajbcs-263	115	20	,	,	PUNCT
eajbcs-263	115	21	2021	2021	NUM
eajbcs-263	115	22	)	)	PUNCT
eajbcs-263	115	23	.	.	PUNCT
eajbcs-263	116	1	results	result	NOUN
eajbcs-263	116	2	from	from	ADP
eajbcs-263	116	3	arima	arima	PROPN
eajbcs-263	116	4	modelling	modelling	NOUN
eajbcs-263	116	5	of	of	ADP
eajbcs-263	116	6	covid19	covid19	NOUN
eajbcs-263	116	7	case	case	NOUN
eajbcs-263	116	8	result	result	VERB
eajbcs-263	116	9	in	in	ADP
eajbcs-263	116	10	testing	test	VERB
eajbcs-263	116	11	stationary	stationary	NOUN
eajbcs-263	116	12	:	:	PUNCT
eajbcs-263	116	13	the	the	DET
eajbcs-263	116	14	first	first	ADJ
eajbcs-263	116	15	step	step	NOUN
eajbcs-263	116	16	in	in	ADP
eajbcs-263	116	17	every	every	DET
eajbcs-263	116	18	time	time	NOUN
eajbcs-263	116	19	series	series	NOUN
eajbcs-263	116	20	investigation	investigation	NOUN
eajbcs-263	116	21	containing	contain	VERB
eajbcs-263	116	22	arima	arima	PROPN
eajbcs-263	116	23	modelling	modelling	NOUN
eajbcs-263	116	24	is	be	AUX
eajbcs-263	116	25	to	to	PART
eajbcs-263	116	26	see	see	VERB
eajbcs-263	116	27	whether	whether	SCONJ
eajbcs-263	116	28	the	the	DET
eajbcs-263	116	29	time	time	NOUN
eajbcs-263	116	30	series	series	NOUN
eajbcs-263	116	31	is	be	AUX
eajbcs-263	116	32	stationary	stationary	ADJ
eajbcs-263	116	33	.	.	PUNCT
eajbcs-263	117	1	in	in	ADP
eajbcs-263	117	2	this	this	DET
eajbcs-263	117	3	research	research	NOUN
eajbcs-263	117	4	,	,	PUNCT
eajbcs-263	117	5	time	time	NOUN
eajbcs-263	117	6	series	series	PROPN
eajbcs-263	117	7	plot	plot	NOUN
eajbcs-263	117	8	and	and	CCONJ
eajbcs-263	117	9	autocorrelation	autocorrelation	NOUN
eajbcs-263	117	10	function	function	NOUN
eajbcs-263	117	11	(	(	PUNCT
eajbcs-263	117	12	acf	acf	PROPN
eajbcs-263	117	13	)	)	PUNCT
eajbcs-263	117	14	were	be	AUX
eajbcs-263	117	15	practical	practical	ADJ
eajbcs-263	117	16	to	to	PART
eajbcs-263	117	17	check	check	VERB
eajbcs-263	117	18	the	the	DET
eajbcs-263	117	19	stationary	stationary	NOUN
eajbcs-263	117	20	.	.	PUNCT
eajbcs-263	118	1	the	the	DET
eajbcs-263	118	2	pattern	pattern	NOUN
eajbcs-263	118	3	of	of	ADP
eajbcs-263	118	4	the	the	DET
eajbcs-263	118	5	series	series	NOUN
eajbcs-263	118	6	of	of	ADP
eajbcs-263	118	7	covid-19	covid-19	PROPN
eajbcs-263	118	8	confirmed	confirm	VERB
eajbcs-263	118	9	cases	case	NOUN
eajbcs-263	118	10	,	,	PUNCT
eajbcs-263	118	11	recovery	recovery	NOUN
eajbcs-263	118	12	and	and	CCONJ
eajbcs-263	118	13	death	death	NOUN
eajbcs-263	118	14	cases	case	NOUN
eajbcs-263	118	15	shows	show	VERB
eajbcs-263	118	16	increasing	increase	VERB
eajbcs-263	118	17	trend	trend	NOUN
eajbcs-263	118	18	indicating	indicate	VERB
eajbcs-263	118	19	the	the	DET
eajbcs-263	118	20	mean	mean	NOUN
eajbcs-263	118	21	and	and	CCONJ
eajbcs-263	118	22	the	the	DET
eajbcs-263	118	23	variance	variance	NOUN
eajbcs-263	118	24	of	of	ADP
eajbcs-263	118	25	the	the	DET
eajbcs-263	118	26	series	series	NOUN
eajbcs-263	118	27	are	be	AUX
eajbcs-263	118	28	not	not	PART
eajbcs-263	118	29	constant	constant	ADJ
eajbcs-263	118	30	throughout	throughout	ADP
eajbcs-263	118	31	time	time	NOUN
eajbcs-263	118	32	and	and	CCONJ
eajbcs-263	118	33	this	this	PRON
eajbcs-263	118	34	shows	show	VERB
eajbcs-263	118	35	the	the	DET
eajbcs-263	118	36	process	process	NOUN
eajbcs-263	118	37	is	be	AUX
eajbcs-263	118	38	not	not	PART
eajbcs-263	118	39	stationary	stationary	ADJ
eajbcs-263	118	40	and	and	CCONJ
eajbcs-263	118	41	the	the	DET
eajbcs-263	118	42	data	datum	NOUN
eajbcs-263	118	43	need	need	VERB
eajbcs-263	118	44	to	to	PART
eajbcs-263	118	45	be	be	AUX
eajbcs-263	118	46	differencing	difference	VERB
eajbcs-263	118	47	and	and	CCONJ
eajbcs-263	118	48	with	with	ADP
eajbcs-263	118	49	the	the	DET
eajbcs-263	118	50	one	one	NUM
eajbcs-263	118	51	step	step	NOUN
eajbcs-263	118	52	differencing	differencing	NOUN
eajbcs-263	118	53	,	,	PUNCT
eajbcs-263	118	54	d=1	d=1	NOUN
eajbcs-263	118	55	,	,	PUNCT
eajbcs-263	118	56	we	we	PRON
eajbcs-263	118	57	got	get	VERB
eajbcs-263	118	58	stationary	stationary	ADJ
eajbcs-263	118	59	data	datum	NOUN
eajbcs-263	118	60	.	.	PUNCT
eajbcs-263	119	1	result	result	VERB
eajbcs-263	119	2	in	in	ADP
eajbcs-263	119	3	model	model	NOUN
eajbcs-263	119	4	identification	identification	NOUN
eajbcs-263	119	5	for	for	ADP
eajbcs-263	119	6	confirmed	confirm	VERB
eajbcs-263	119	7	cases	case	NOUN
eajbcs-263	119	8	:	:	PUNCT
eajbcs-263	119	9	from	from	ADP
eajbcs-263	119	10	table	table	NOUN
eajbcs-263	119	11	1	1	NUM
eajbcs-263	119	12	arima	arima	NOUN
eajbcs-263	119	13	(	(	PUNCT
eajbcs-263	119	14	1,1,1	1,1,1	NUM
eajbcs-263	119	15	)	)	PUNCT
eajbcs-263	119	16	and	and	CCONJ
eajbcs-263	119	17	arima	arima	PROPN
eajbcs-263	119	18	(	(	PUNCT
eajbcs-263	119	19	5,1,1	5,1,1	NOUN
eajbcs-263	119	20	)	)	PUNCT
eajbcs-263	119	21	are	be	AUX
eajbcs-263	119	22	recommended	recommend	VERB
eajbcs-263	119	23	since	since	SCONJ
eajbcs-263	119	24	they	they	PRON
eajbcs-263	119	25	have	have	AUX
eajbcs-263	119	26	lest	lest	SCONJ
eajbcs-263	119	27	bayesian	bayesian	NOUN
eajbcs-263	119	28	information	information	NOUN
eajbcs-263	119	29	criterion	criterion	NOUN
eajbcs-263	119	30	(	(	PUNCT
eajbcs-263	119	31	bic	bic	PROPN
eajbcs-263	119	32	)	)	PUNCT
eajbcs-263	119	33	and	and	CCONJ
eajbcs-263	119	34	highest	high	ADJ
eajbcs-263	119	35	adjusted	adjust	VERB
eajbcs-263	119	36	r	r	NOUN
eajbcs-263	119	37	-	-	ADJ
eajbcs-263	119	38	square	square	ADJ
eajbcs-263	119	39	,	,	PUNCT
eajbcs-263	119	40	but	but	CCONJ
eajbcs-263	119	41	by	by	ADP
eajbcs-263	119	42	b	b	PROPN
eajbcs-263	119	43	-	-	PUNCT
eajbcs-263	119	44	j	j	PROPN
eajbcs-263	119	45	methodology	methodology	NOUN
eajbcs-263	119	46	,	,	PUNCT
eajbcs-263	119	47	parsimonious	parsimonious	ADJ
eajbcs-263	119	48	models	model	NOUN
eajbcs-263	119	49	give	give	VERB
eajbcs-263	119	50	better	well	ADJ
eajbcs-263	119	51	transforms	transform	NOUN
eajbcs-263	119	52	:	:	PUNCT
eajbcs-263	119	53	natural	natural	ADJ
eajbcs-263	119	54	log	log	NOUN
eajbcs-263	119	55	confirmed	confirm	VERB
eajbcs-263	119	56	case_mean	case_mean	ADJ
eajbcs-263	119	57	recoverd_mean	recoverd_mean	ADJ
eajbcs-263	119	58	deathcase_sum	deathcase_sum	PROPN
eajbcs-263	119	59	east	east	PROPN
eajbcs-263	119	60	afr	afr	PROPN
eajbcs-263	119	61	.	.	PUNCT
eajbcs-263	120	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	120	2	.	.	PUNCT
eajbcs-263	121	1	sci	sci	PROPN
eajbcs-263	121	2	.	.	PUNCT
eajbcs-263	122	1	(	(	PUNCT
eajbcs-263	122	2	2022	2022	NUM
eajbcs-263	122	3	)	)	PUNCT
eajbcs-263	122	4	,	,	PUNCT
eajbcs-263	122	5	vol	vol	NOUN
eajbcs-263	122	6	.	.	PROPN
eajbcs-263	123	1	3	3	NUM
eajbcs-263	123	2	,	,	PUNCT
eajbcs-263	123	3	no	no	INTJ
eajbcs-263	123	4	.	.	NOUN
eajbcs-263	123	5	1	1	NUM
eajbcs-263	123	6	,	,	PUNCT
eajbcs-263	123	7	58	58	NUM
eajbcs-263	123	8	-	-	SYM
eajbcs-263	123	9	68	68	NUM
eajbcs-263	123	10	64	64	NUM
eajbcs-263	123	11	forecast	forecast	NOUN
eajbcs-263	123	12	than	than	ADP
eajbcs-263	123	13	over	over	ADP
eajbcs-263	123	14	-	-	PUNCT
eajbcs-263	123	15	parameterized	parameterized	ADJ
eajbcs-263	123	16	models	model	NOUN
eajbcs-263	123	17	.	.	PUNCT
eajbcs-263	124	1	therefore	therefore	ADV
eajbcs-263	124	2	,	,	PUNCT
eajbcs-263	124	3	arima	arima	PROPN
eajbcs-263	124	4	(	(	PUNCT
eajbcs-263	124	5	1,1,1	1,1,1	NUM
eajbcs-263	124	6	)	)	PUNCT
eajbcs-263	124	7	is	be	AUX
eajbcs-263	124	8	selected	select	VERB
eajbcs-263	124	9	.	.	PUNCT
eajbcs-263	125	1	table	table	NOUN
eajbcs-263	125	2	1	1	NUM
eajbcs-263	125	3	:	:	PUNCT
eajbcs-263	125	4	tentative	tentative	ADJ
eajbcs-263	125	5	models	model	NOUN
eajbcs-263	125	6	confirmed	confirm	VERB
eajbcs-263	125	7	cases	case	NOUN
eajbcs-263	125	8	arima(1,1,1	arima(1,1,1	NOUN
eajbcs-263	125	9	)	)	PUNCT
eajbcs-263	125	10	arima(1,1,2	arima(1,1,2	ADJ
eajbcs-263	125	11	)	)	PUNCT
eajbcs-263	125	12	arima(5,1,1	arima(5,1,1	CCONJ
eajbcs-263	125	13	)	)	PUNCT
eajbcs-263	125	14	arima(5,1,2	arima(5,1,2	ADJ
eajbcs-263	125	15	)	)	PUNCT
eajbcs-263	125	16	adj	adj	NOUN
eajbcs-263	125	17	r	r	PROPN
eajbcs-263	125	18	square	square	NOUN
eajbcs-263	125	19	88.9	88.9	NUM
eajbcs-263	125	20	88.9	88.9	NUM
eajbcs-263	125	21	89.3	89.3	NUM
eajbcs-263	125	22	89.3	89.3	NUM
eajbcs-263	125	23	bic	bic	PROPN
eajbcs-263	125	24	9.855	9.855	NUM
eajbcs-263	125	25	9.877	9.877	NUM
eajbcs-263	125	26	9.911	9.911	NUM
eajbcs-263	125	27	9.933	9.933	NUM
eajbcs-263	125	28	result	result	NOUN
eajbcs-263	125	29	in	in	ADP
eajbcs-263	125	30	model	model	NOUN
eajbcs-263	125	31	identification	identification	NOUN
eajbcs-263	125	32	for	for	ADP
eajbcs-263	125	33	recovered	recovered	ADJ
eajbcs-263	125	34	case	case	NOUN
eajbcs-263	125	35	:	:	PUNCT
eajbcs-263	125	36	from	from	ADP
eajbcs-263	125	37	table2	table2	PROPN
eajbcs-263	125	38	arima	arima	PROPN
eajbcs-263	125	39	(	(	PUNCT
eajbcs-263	125	40	15,1,1	15,1,1	NOUN
eajbcs-263	125	41	)	)	PUNCT
eajbcs-263	125	42	and	and	CCONJ
eajbcs-263	125	43	arima(1,1,2	arima(1,1,2	ADJ
eajbcs-263	125	44	)	)	PUNCT
eajbcs-263	125	45	are	be	AUX
eajbcs-263	125	46	selected	select	VERB
eajbcs-263	125	47	but	but	CCONJ
eajbcs-263	125	48	by	by	ADP
eajbcs-263	125	49	b	b	PROPN
eajbcs-263	125	50	-	-	PUNCT
eajbcs-263	125	51	j	j	PROPN
eajbcs-263	125	52	methodology	methodology	NOUN
eajbcs-263	125	53	,	,	PUNCT
eajbcs-263	125	54	arima	arima	PROPN
eajbcs-263	125	55	(	(	PUNCT
eajbcs-263	125	56	1,1,2	1,1,2	NUM
eajbcs-263	125	57	)	)	PUNCT
eajbcs-263	125	58	is	be	AUX
eajbcs-263	125	59	the	the	DET
eajbcs-263	125	60	best	good	ADJ
eajbcs-263	125	61	model	model	NOUN
eajbcs-263	125	62	to	to	PART
eajbcs-263	125	63	forecast	forecast	VERB
eajbcs-263	125	64	the	the	DET
eajbcs-263	125	65	confirmed	confirm	VERB
eajbcs-263	125	66	cases	case	NOUN
eajbcs-263	125	67	.	.	PUNCT
eajbcs-263	126	1	but	but	CCONJ
eajbcs-263	126	2	residual	residual	ADJ
eajbcs-263	126	3	acf	acf	NOUN
eajbcs-263	126	4	and	and	CCONJ
eajbcs-263	126	5	pacf	pacf	NOUN
eajbcs-263	126	6	are	be	AUX
eajbcs-263	126	7	not	not	PART
eajbcs-263	126	8	flat	flat	ADJ
eajbcs-263	126	9	,	,	PUNCT
eajbcs-263	126	10	that	that	PRON
eajbcs-263	126	11	is	be	AUX
eajbcs-263	126	12	lags	lag	VERB
eajbcs-263	126	13	16	16	NUM
eajbcs-263	126	14	and	and	CCONJ
eajbcs-263	126	15	15	15	NUM
eajbcs-263	126	16	are	be	AUX
eajbcs-263	126	17	very	very	ADV
eajbcs-263	126	18	significant	significant	ADJ
eajbcs-263	126	19	indicating	indicate	VERB
eajbcs-263	126	20	there	there	PRON
eajbcs-263	126	21	is	be	VERB
eajbcs-263	126	22	white	white	ADJ
eajbcs-263	126	23	noise	noise	NOUN
eajbcs-263	126	24	in	in	ADP
eajbcs-263	126	25	the	the	DET
eajbcs-263	126	26	series	series	NOUN
eajbcs-263	126	27	and	and	CCONJ
eajbcs-263	126	28	we	we	PRON
eajbcs-263	126	29	should	should	AUX
eajbcs-263	126	30	re	re	AUX
eajbcs-263	126	31	estimate	estimate	VERB
eajbcs-263	126	32	the	the	DET
eajbcs-263	126	33	model	model	NOUN
eajbcs-263	126	34	by	by	ADP
eajbcs-263	126	35	adding	add	VERB
eajbcs-263	126	36	ar(16	ar(16	NOUN
eajbcs-263	126	37	)	)	PUNCT
eajbcs-263	126	38	in	in	ADP
eajbcs-263	126	39	the	the	DET
eajbcs-263	126	40	model	model	NOUN
eajbcs-263	126	41	.	.	PUNCT
eajbcs-263	127	1	thus	thus	ADV
eajbcs-263	127	2	the	the	DET
eajbcs-263	127	3	appropriate	appropriate	ADJ
eajbcs-263	127	4	model	model	NOUN
eajbcs-263	127	5	to	to	PART
eajbcs-263	127	6	forecast	forecast	VERB
eajbcs-263	127	7	recovery	recovery	NOUN
eajbcs-263	127	8	case	case	NOUN
eajbcs-263	127	9	is	be	AUX
eajbcs-263	127	10	arima	arima	NOUN
eajbcs-263	127	11	(	(	PUNCT
eajbcs-263	127	12	16	16	NUM
eajbcs-263	127	13	,	,	PUNCT
eajbcs-263	127	14	1	1	NUM
eajbcs-263	127	15	,	,	PUNCT
eajbcs-263	127	16	2	2	NUM
eajbcs-263	127	17	)	)	PUNCT
eajbcs-263	127	18	.	.	PUNCT
eajbcs-263	128	1	table	table	NOUN
eajbcs-263	128	2	2	2	NUM
eajbcs-263	128	3	:	:	PUNCT
eajbcs-263	128	4	tentative	tentative	ADJ
eajbcs-263	128	5	models	model	NOUN
eajbcs-263	128	6	recovered	recover	VERB
eajbcs-263	128	7	cases	case	NOUN
eajbcs-263	128	8	arima(1,1,1	arima(1,1,1	NOUN
eajbcs-263	128	9	)	)	PUNCT
eajbcs-263	128	10	arima(1,1,2	arima(1,1,2	ADJ
eajbcs-263	128	11	)	)	PUNCT
eajbcs-263	128	12	arima(15,1,1	arima(15,1,1	ADJ
eajbcs-263	128	13	)	)	PUNCT
eajbcs-263	128	14	arima(15,1,2	arima(15,1,2	ADJ
eajbcs-263	128	15	)	)	PUNCT
eajbcs-263	128	16	adjusted	adjust	VERB
eajbcs-263	128	17	r	r	NOUN
eajbcs-263	128	18	square	square	NOUN
eajbcs-263	128	19	60.4	60.4	NUM
eajbcs-263	128	20	60.6	60.6	NUM
eajbcs-263	128	21	66.1	66.1	NUM
eajbcs-263	128	22	66.4	66.4	NUM
eajbcs-263	128	23	bic	bic	NOUN
eajbcs-263	128	24	11.614	11.614	NUM
eajbcs-263	128	25	11.631	11.631	NUM
eajbcs-263	128	26	11.775	11.775	NUM
eajbcs-263	128	27	11.788	11.788	NUM
eajbcs-263	128	28	result	result	NOUN
eajbcs-263	128	29	in	in	ADP
eajbcs-263	128	30	model	model	NOUN
eajbcs-263	128	31	identification	identification	NOUN
eajbcs-263	128	32	for	for	ADP
eajbcs-263	128	33	death	death	NOUN
eajbcs-263	128	34	case	case	NOUN
eajbcs-263	128	35	:	:	PUNCT
eajbcs-263	128	36	from	from	ADP
eajbcs-263	128	37	auto	auto	NOUN
eajbcs-263	128	38	and	and	CCONJ
eajbcs-263	128	39	partial	partial	ADJ
eajbcs-263	128	40	auto	auto	NOUN
eajbcs-263	128	41	correlation	correlation	NOUN
eajbcs-263	128	42	plot	plot	NOUN
eajbcs-263	128	43	a	a	DET
eajbcs-263	128	44	candidate	candidate	NOUN
eajbcs-263	128	45	ma(q	ma(q	NOUN
eajbcs-263	128	46	)	)	PUNCT
eajbcs-263	128	47	models	model	NOUN
eajbcs-263	128	48	were	be	AUX
eajbcs-263	128	49	recommended	recommend	VERB
eajbcs-263	128	50	.	.	PUNCT
eajbcs-263	129	1	that	that	PRON
eajbcs-263	129	2	is	be	AUX
eajbcs-263	129	3	arima	arima	PROPN
eajbcs-263	129	4	(	(	PUNCT
eajbcs-263	129	5	0,1,1	0,1,1	NOUN
eajbcs-263	129	6	)	)	PUNCT
eajbcs-263	129	7	models	model	NOUN
eajbcs-263	129	8	is	be	AUX
eajbcs-263	129	9	recommended	recommend	VERB
eajbcs-263	129	10	.	.	PUNCT
eajbcs-263	130	1	result	result	VERB
eajbcs-263	130	2	in	in	ADP
eajbcs-263	130	3	model	model	NOUN
eajbcs-263	130	4	diagnosis	diagnosis	NOUN
eajbcs-263	130	5	:	:	PUNCT
eajbcs-263	130	6	according	accord	VERB
eajbcs-263	130	7	to	to	ADP
eajbcs-263	130	8	(	(	PUNCT
eajbcs-263	130	9	box	box	PROPN
eajbcs-263	130	10	and	and	CCONJ
eajbcs-263	130	11	jenkins	jenkin	NOUN
eajbcs-263	130	12	,	,	PUNCT
eajbcs-263	130	13	1976	1976	NUM
eajbcs-263	130	14	)	)	PUNCT
eajbcs-263	130	15	,	,	PUNCT
eajbcs-263	130	16	all	all	DET
eajbcs-263	130	17	the	the	DET
eajbcs-263	130	18	models	model	NOUN
eajbcs-263	130	19	that	that	PRON
eajbcs-263	130	20	accepted	accept	VERB
eajbcs-263	130	21	and	and	CCONJ
eajbcs-263	130	22	satisfied	satisfy	VERB
eajbcs-263	130	23	all	all	DET
eajbcs-263	130	24	residual	residual	ADJ
eajbcs-263	130	25	tests	test	NOUN
eajbcs-263	130	26	and	and	CCONJ
eajbcs-263	130	27	the	the	DET
eajbcs-263	130	28	parameters	parameter	NOUN
eajbcs-263	130	29	meaningfully	meaningfully	ADV
eajbcs-263	130	30	vary	vary	VERB
eajbcs-263	130	31	from	from	ADP
eajbcs-263	130	32	zero	zero	NUM
eajbcs-263	130	33	must	must	AUX
eajbcs-263	130	34	be	be	AUX
eajbcs-263	130	35	included	include	VERB
eajbcs-263	130	36	and	and	CCONJ
eajbcs-263	130	37	nominated	nominate	VERB
eajbcs-263	130	38	as	as	ADP
eajbcs-263	130	39	candidate	candidate	NOUN
eajbcs-263	130	40	model	model	NOUN
eajbcs-263	130	41	for	for	ADP
eajbcs-263	130	42	forecast	forecast	NOUN
eajbcs-263	130	43	.	.	PUNCT
eajbcs-263	131	1	residuals	residual	NOUN
eajbcs-263	131	2	acf	acf	NOUN
eajbcs-263	131	3	and	and	CCONJ
eajbcs-263	131	4	partial	partial	ADJ
eajbcs-263	131	5	acf	acf	NOUN
eajbcs-263	131	6	plot	plot	NOUN
eajbcs-263	131	7	for	for	ADP
eajbcs-263	131	8	confirmed	confirmed	ADJ
eajbcs-263	131	9	,	,	PUNCT
eajbcs-263	131	10	recovered	recovered	ADJ
eajbcs-263	131	11	and	and	CCONJ
eajbcs-263	131	12	death	death	NOUN
eajbcs-263	131	13	cases	case	NOUN
eajbcs-263	131	14	,	,	PUNCT
eajbcs-263	131	15	all	all	DET
eajbcs-263	131	16	the	the	DET
eajbcs-263	131	17	lags	lag	NOUN
eajbcs-263	131	18	are	be	AUX
eajbcs-263	131	19	inside	inside	ADP
eajbcs-263	131	20	the	the	DET
eajbcs-263	131	21	95	95	NUM
eajbcs-263	131	22	%	%	NOUN
eajbcs-263	131	23	confidence	confidence	NOUN
eajbcs-263	131	24	interval	interval	NOUN
eajbcs-263	131	25	showing	show	VERB
eajbcs-263	131	26	there	there	PRON
eajbcs-263	131	27	is	be	VERB
eajbcs-263	131	28	no	no	DET
eajbcs-263	131	29	problem	problem	NOUN
eajbcs-263	131	30	of	of	ADP
eajbcs-263	131	31	white	white	PROPN
eajbcs-263	131	32	nose	nose	NOUN
eajbcs-263	131	33	so	so	SCONJ
eajbcs-263	131	34	the	the	DET
eajbcs-263	131	35	models	model	NOUN
eajbcs-263	131	36	are	be	AUX
eajbcs-263	131	37	ready	ready	ADJ
eajbcs-263	131	38	for	for	ADP
eajbcs-263	131	39	use	use	NOUN
eajbcs-263	131	40	of	of	ADP
eajbcs-263	131	41	prediction	prediction	NOUN
eajbcs-263	131	42	.	.	PUNCT
eajbcs-263	132	1	east	east	PROPN
eajbcs-263	132	2	afr	afr	PROPN
eajbcs-263	132	3	.	.	PUNCT
eajbcs-263	133	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	133	2	.	.	PUNCT
eajbcs-263	134	1	sci	sci	PROPN
eajbcs-263	134	2	.	.	PUNCT
eajbcs-263	135	1	(	(	PUNCT
eajbcs-263	135	2	2022	2022	NUM
eajbcs-263	135	3	)	)	PUNCT
eajbcs-263	135	4	,	,	PUNCT
eajbcs-263	135	5	vol	vol	NOUN
eajbcs-263	135	6	.	.	PROPN
eajbcs-263	136	1	3	3	NUM
eajbcs-263	136	2	,	,	PUNCT
eajbcs-263	136	3	no	no	INTJ
eajbcs-263	136	4	.	.	NOUN
eajbcs-263	136	5	1	1	NUM
eajbcs-263	136	6	,	,	PUNCT
eajbcs-263	136	7	58	58	NUM
eajbcs-263	136	8	-	-	SYM
eajbcs-263	136	9	68	68	NUM
eajbcs-263	136	10	65	65	NUM
eajbcs-263	136	11	table	table	NOUN
eajbcs-263	136	12	3	3	NUM
eajbcs-263	136	13	:	:	PUNCT
eajbcs-263	136	14	arima	arima	NOUN
eajbcs-263	136	15	models	model	NOUN
eajbcs-263	136	16	&	&	CCONJ
eajbcs-263	136	17	coefficients	coefficient	NOUN
eajbcs-263	136	18	for	for	ADP
eajbcs-263	136	19	best	good	ADJ
eajbcs-263	136	20	selected	select	VERB
eajbcs-263	136	21	model	model	NOUN
eajbcs-263	136	22	.	.	PUNCT
eajbcs-263	137	1	covid-19	covid-19	PROPN
eajbcs-263	137	2	cases	case	NOUN
eajbcs-263	137	3	model	model	VERB
eajbcs-263	137	4	bic	bic	PROPN
eajbcs-263	137	5	r	r	NOUN
eajbcs-263	137	6	-	-	PUNCT
eajbcs-263	137	7	squared	square	VERB
eajbcs-263	137	8	mape	mape	NOUN
eajbcs-263	137	9	coefficient	coefficient	NOUN
eajbcs-263	137	10	p	p	PROPN
eajbcs-263	137	11	value	value	NOUN
eajbcs-263	137	12	confirmed	confirm	VERB
eajbcs-263	137	13	case	case	NOUN
eajbcs-263	137	14	arima(1,1,1	arima(1,1,1	NOUN
eajbcs-263	137	15	)	)	PUNCT
eajbcs-263	137	16	9.855	9.855	NUM
eajbcs-263	137	17	.889	.889	NUM
eajbcs-263	137	18	0.309	0.309	NUM
eajbcs-263	137	19	1	1	NUM
eajbcs-263	137	20			PROPN
eajbcs-263	137	21			NOUN
eajbcs-263	137	22	=	=	SYM
eajbcs-263	137	23	-0.233	-0.233	NOUN
eajbcs-263	137	24	0.016	0.016	NUM
eajbcs-263	137	25	417.0	417.0	NUM
eajbcs-263	137	26			PROPN
eajbcs-263	137	27			PROPN
eajbcs-263	137	28	0.00	0.00	NUM
eajbcs-263	137	29	recovered	recover	VERB
eajbcs-263	137	30	case	case	NOUN
eajbcs-263	137	31	arima(16,1,2	arima(16,1,2	NOUN
eajbcs-263	137	32	)	)	PUNCT
eajbcs-263	137	33	11.732	11.732	NUM
eajbcs-263	137	34	0.69	0.69	NUM
eajbcs-263	137	35	0.439	0.439	NUM
eajbcs-263	137	36	1	1	NUM
eajbcs-263	137	37			PROPN
eajbcs-263	137	38			NOUN
eajbcs-263	137	39	=	=	NUM
eajbcs-263	137	40	0.257	0.257	NUM
eajbcs-263	137	41	0.00	0.00	NUM
eajbcs-263	137	42	2	2	NUM
eajbcs-263	137	43			PROPN
eajbcs-263	137	44			NOUN
eajbcs-263	137	45	=	=	NOUN
eajbcs-263	137	46	0.230	0.230	NUM
eajbcs-263	137	47	0.00	0.00	NUM
eajbcs-263	137	48	3	3	NUM
eajbcs-263	137	49			PROPN
eajbcs-263	137	50			NOUN
eajbcs-263	137	51	=	=	PROPN
eajbcs-263	137	52	0.129	0.129	NUM
eajbcs-263	137	53	0.034	0.034	NUM
eajbcs-263	137	54	6	6	NUM
eajbcs-263	137	55			PROPN
eajbcs-263	137	56			NOUN
eajbcs-263	137	57	=	=	NUM
eajbcs-263	137	58	0.185	0.185	NUM
eajbcs-263	137	59	0.003	0.003	NUM
eajbcs-263	137	60	15	15	NUM
eajbcs-263	137	61			PROPN
eajbcs-263	137	62			NOUN
eajbcs-263	137	63	=	=	NUM
eajbcs-263	137	64	-0.330	-0.330	NUM
eajbcs-263	137	65	0.00	0.00	NUM
eajbcs-263	137	66	998.0	998.0	NUM
eajbcs-263	137	67			PROPN
eajbcs-263	137	68			PROPN
eajbcs-263	137	69	0.00	0.00	NUM
eajbcs-263	137	70	deaths	death	NOUN
eajbcs-263	137	71	cases	case	NOUN
eajbcs-263	137	72	arima(0,1,1	arima(0,1,1	VERB
eajbcs-263	137	73	)	)	PUNCT
eajbcs-263	137	74	2.649	2.649	NUM
eajbcs-263	137	75	0.679	0.679	NUM
eajbcs-263	137	76	0.407	0.407	NUM
eajbcs-263	137	77	801.0	801.0	NUM
eajbcs-263	138	1			PROPN
eajbcs-263	138	2			PROPN
eajbcs-263	138	3	0.00	0.00	NUM
eajbcs-263	138	4	predicting	predict	VERB
eajbcs-263	138	5	precision	precision	NOUN
eajbcs-263	138	6	assessment	assessment	NOUN
eajbcs-263	138	7	if	if	SCONJ
eajbcs-263	138	8	the	the	DET
eajbcs-263	138	9	fitted	fit	VERB
eajbcs-263	138	10	models	model	NOUN
eajbcs-263	138	11	achieve	achieve	VERB
eajbcs-263	138	12	well	well	ADV
eajbcs-263	138	13	in	in	ADP
eajbcs-263	138	14	predicting	predicting	NOUN
eajbcs-263	138	15	,	,	PUNCT
eajbcs-263	138	16	the	the	DET
eajbcs-263	138	17	estimate	estimate	NOUN
eajbcs-263	138	18	error	error	NOUN
eajbcs-263	138	19	will	will	AUX
eajbcs-263	138	20	be	be	AUX
eajbcs-263	138	21	comparatively	comparatively	ADV
eajbcs-263	138	22	minor	minor	ADJ
eajbcs-263	138	23	and	and	CCONJ
eajbcs-263	138	24	the	the	DET
eajbcs-263	138	25	mean	mean	ADJ
eajbcs-263	138	26	absolute	absolute	ADJ
eajbcs-263	138	27	percentage	percentage	NOUN
eajbcs-263	138	28	error	error	NOUN
eajbcs-263	138	29	(	(	PUNCT
eajbcs-263	138	30	mape	mape	NOUN
eajbcs-263	138	31	)	)	PUNCT
eajbcs-263	138	32	should	should	AUX
eajbcs-263	138	33	be	be	AUX
eajbcs-263	138	34	close	close	ADJ
eajbcs-263	138	35	to	to	ADP
eajbcs-263	138	36	5	5	NUM
eajbcs-263	138	37	%	%	NOUN
eajbcs-263	138	38	.	.	PUNCT
eajbcs-263	139	1	from	from	ADP
eajbcs-263	139	2	table	table	NOUN
eajbcs-263	139	3	3	3	NUM
eajbcs-263	139	4	,	,	PUNCT
eajbcs-263	139	5	it	it	PRON
eajbcs-263	139	6	can	can	AUX
eajbcs-263	139	7	be	be	AUX
eajbcs-263	139	8	witnessed	witness	VERB
eajbcs-263	139	9	that	that	SCONJ
eajbcs-263	139	10	the	the	DET
eajbcs-263	139	11	accuracy	accuracy	NOUN
eajbcs-263	139	12	of	of	ADP
eajbcs-263	139	13	forecasts	forecast	NOUN
eajbcs-263	139	14	measured	measure	VERB
eajbcs-263	139	15	by	by	ADP
eajbcs-263	139	16	the	the	DET
eajbcs-263	139	17	mean	mean	ADJ
eajbcs-263	139	18	absolute	absolute	ADJ
eajbcs-263	139	19	percentage	percentage	NOUN
eajbcs-263	139	20	error	error	NOUN
eajbcs-263	139	21	(	(	PUNCT
eajbcs-263	139	22	mape	mape	NOUN
eajbcs-263	139	23	)	)	PUNCT
eajbcs-263	139	24	cast	cast	VERB
eajbcs-263	139	25	out	out	ADP
eajbcs-263	139	26	to	to	PART
eajbcs-263	139	27	be	be	AUX
eajbcs-263	139	28	3.09	3.09	NUM
eajbcs-263	139	29	%	%	NOUN
eajbcs-263	139	30	for	for	ADP
eajbcs-263	139	31	arima	arima	PROPN
eajbcs-263	139	32	(	(	PUNCT
eajbcs-263	139	33	1	1	NUM
eajbcs-263	139	34	,	,	PUNCT
eajbcs-263	139	35	1	1	NUM
eajbcs-263	139	36	,	,	PUNCT
eajbcs-263	139	37	1	1	X
eajbcs-263	139	38	)	)	PUNCT
eajbcs-263	139	39	model	model	NOUN
eajbcs-263	139	40	,	,	PUNCT
eajbcs-263	139	41	4.39	4.39	NUM
eajbcs-263	139	42	%	%	NOUN
eajbcs-263	139	43	for	for	ADP
eajbcs-263	139	44	arima	arima	PROPN
eajbcs-263	139	45	(	(	PUNCT
eajbcs-263	139	46	16	16	NUM
eajbcs-263	139	47	,	,	PUNCT
eajbcs-263	139	48	1	1	NUM
eajbcs-263	139	49	,	,	PUNCT
eajbcs-263	139	50	2	2	NUM
eajbcs-263	139	51	)	)	PUNCT
eajbcs-263	139	52	and	and	CCONJ
eajbcs-263	139	53	4.07	4.07	NUM
eajbcs-263	139	54	%	%	NOUN
eajbcs-263	139	55	for	for	ADP
eajbcs-263	139	56	arima	arima	PROPN
eajbcs-263	139	57	(	(	PUNCT
eajbcs-263	139	58	0	0	NUM
eajbcs-263	139	59	,	,	PUNCT
eajbcs-263	139	60	1	1	NUM
eajbcs-263	139	61	,	,	PUNCT
eajbcs-263	139	62	1	1	X
eajbcs-263	139	63	)	)	PUNCT
eajbcs-263	139	64	model	model	NOUN
eajbcs-263	139	65	,	,	PUNCT
eajbcs-263	139	66	which	which	PRON
eajbcs-263	139	67	are	be	AUX
eajbcs-263	139	68	relatively	relatively	ADV
eajbcs-263	139	69	less	less	ADJ
eajbcs-263	139	70	than	than	ADP
eajbcs-263	139	71	5	5	NUM
eajbcs-263	139	72	%	%	NOUN
eajbcs-263	139	73	.	.	PUNCT
eajbcs-263	140	1	this	this	PRON
eajbcs-263	140	2	implies	imply	VERB
eajbcs-263	140	3	that	that	SCONJ
eajbcs-263	140	4	those	those	DET
eajbcs-263	140	5	models	model	NOUN
eajbcs-263	140	6	would	would	AUX
eajbcs-263	140	7	perform	perform	VERB
eajbcs-263	140	8	better	well	ADV
eajbcs-263	140	9	in	in	ADP
eajbcs-263	140	10	predicting	predict	VERB
eajbcs-263	140	11	the	the	DET
eajbcs-263	140	12	confirmed	confirm	VERB
eajbcs-263	140	13	,	,	PUNCT
eajbcs-263	140	14	recovery	recovery	NOUN
eajbcs-263	140	15	and	and	CCONJ
eajbcs-263	140	16	death	death	NOUN
eajbcs-263	140	17	cases	case	NOUN
eajbcs-263	140	18	of	of	ADP
eajbcs-263	140	19	covid-19	covid-19	PROPN
eajbcs-263	140	20	well	well	ADV
eajbcs-263	140	21	.	.	PUNCT
eajbcs-263	141	1	figure	figure	VERB
eajbcs-263	141	2	5	5	NUM
eajbcs-263	141	3	:	:	PUNCT
eajbcs-263	141	4	forecasted	forecast	VERB
eajbcs-263	141	5	value	value	NOUN
eajbcs-263	141	6	with	with	ADP
eajbcs-263	141	7	95	95	NUM
eajbcs-263	141	8	%	%	NOUN
eajbcs-263	141	9	prediction	prediction	NOUN
eajbcs-263	141	10	interval	interval	NOUN
eajbcs-263	141	11	for	for	ADP
eajbcs-263	141	12	confirmed	confirm	VERB
eajbcs-263	141	13	cases	case	NOUN
eajbcs-263	141	14	in	in	ADP
eajbcs-263	141	15	ethiopia	ethiopia	PROPN
eajbcs-263	141	16	figure	figure	NOUN
eajbcs-263	141	17	6	6	NUM
eajbcs-263	141	18	:	:	PUNCT
eajbcs-263	141	19	forecasted	forecast	VERB
eajbcs-263	141	20	value	value	NOUN
eajbcs-263	141	21	with	with	ADP
eajbcs-263	141	22	95	95	NUM
eajbcs-263	141	23	%	%	NOUN
eajbcs-263	141	24	prediction	prediction	NOUN
eajbcs-263	141	25	interval	interval	NOUN
eajbcs-263	141	26	for	for	ADP
eajbcs-263	141	27	recovered	recovered	ADJ
eajbcs-263	141	28	cases	case	NOUN
eajbcs-263	141	29	in	in	ADP
eajbcs-263	141	30	ethiopia	ethiopia	PROPN
eajbcs-263	141	31	east	east	PROPN
eajbcs-263	141	32	afr	afr	PROPN
eajbcs-263	141	33	.	.	PUNCT
eajbcs-263	142	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	142	2	.	.	PUNCT
eajbcs-263	143	1	sci	sci	PROPN
eajbcs-263	143	2	.	.	PUNCT
eajbcs-263	144	1	(	(	PUNCT
eajbcs-263	144	2	2022	2022	NUM
eajbcs-263	144	3	)	)	PUNCT
eajbcs-263	144	4	,	,	PUNCT
eajbcs-263	144	5	vol	vol	NOUN
eajbcs-263	144	6	.	.	PROPN
eajbcs-263	145	1	3	3	NUM
eajbcs-263	145	2	,	,	PUNCT
eajbcs-263	145	3	no	no	INTJ
eajbcs-263	145	4	.	.	NOUN
eajbcs-263	145	5	1	1	NUM
eajbcs-263	145	6	,	,	PUNCT
eajbcs-263	145	7	58	58	NUM
eajbcs-263	145	8	-	-	SYM
eajbcs-263	145	9	68	68	NUM
eajbcs-263	145	10	66	66	NUM
eajbcs-263	145	11	fig	fig	NOUN
eajbcs-263	145	12	5	5	NUM
eajbcs-263	145	13	,	,	PUNCT
eajbcs-263	145	14	fig	fig	NOUN
eajbcs-263	145	15	6	6	NUM
eajbcs-263	145	16	and	and	CCONJ
eajbcs-263	145	17	fig	fig	VERB
eajbcs-263	145	18	7	7	NUM
eajbcs-263	145	19	presents	present	NOUN
eajbcs-263	145	20	prediction	prediction	NOUN
eajbcs-263	145	21	of	of	ADP
eajbcs-263	145	22	covid-19	covid-19	PROPN
eajbcs-263	145	23	confirmed	confirm	VERB
eajbcs-263	145	24	,	,	PUNCT
eajbcs-263	145	25	recovered	recovered	ADJ
eajbcs-263	145	26	and	and	CCONJ
eajbcs-263	145	27	death	death	NOUN
eajbcs-263	145	28	cases	case	NOUN
eajbcs-263	146	1	and	and	CCONJ
eajbcs-263	146	2	it	it	PRON
eajbcs-263	146	3	gives	give	VERB
eajbcs-263	146	4	the	the	DET
eajbcs-263	146	5	direction	direction	NOUN
eajbcs-263	146	6	and	and	CCONJ
eajbcs-263	146	7	tendency	tendency	NOUN
eajbcs-263	146	8	of	of	ADP
eajbcs-263	146	9	the	the	DET
eajbcs-263	146	10	epidemic	epidemic	NOUN
eajbcs-263	146	11	and	and	CCONJ
eajbcs-263	146	12	forecasts	forecast	VERB
eajbcs-263	146	13	the	the	DET
eajbcs-263	146	14	likely	likely	ADJ
eajbcs-263	146	15	development	development	NOUN
eajbcs-263	146	16	of	of	ADP
eajbcs-263	146	17	future	future	ADJ
eajbcs-263	146	18	epidemics	epidemic	NOUN
eajbcs-263	146	19	.	.	PUNCT
eajbcs-263	147	1	the	the	DET
eajbcs-263	147	2	figs	fig	NOUN
eajbcs-263	147	3	shows	show	VERB
eajbcs-263	147	4	,	,	PUNCT
eajbcs-263	147	5	a	a	DET
eajbcs-263	147	6	forecasts	forecast	NOUN
eajbcs-263	147	7	of	of	ADP
eajbcs-263	147	8	five	five	NUM
eajbcs-263	147	9	month	month	NOUN
eajbcs-263	147	10	a	a	DET
eajbcs-263	147	11	heads	head	NOUN
eajbcs-263	147	12	future	future	ADJ
eajbcs-263	147	13	situation	situation	NOUN
eajbcs-263	147	14	of	of	ADP
eajbcs-263	147	15	covid-19	covid-19	PROPN
eajbcs-263	147	16	confirmed	confirm	VERB
eajbcs-263	147	17	case	case	NOUN
eajbcs-263	147	18	,	,	PUNCT
eajbcs-263	147	19	recovered	recovered	ADJ
eajbcs-263	147	20	and	and	CCONJ
eajbcs-263	147	21	death	death	NOUN
eajbcs-263	147	22	case	case	NOUN
eajbcs-263	147	23	(	(	PUNCT
eajbcs-263	147	24	jan	jan	PROPN
eajbcs-263	147	25	3	3	NUM
eajbcs-263	147	26	,	,	PUNCT
eajbcs-263	147	27	2021	2021	NUM
eajbcs-263	147	28	to	to	PART
eajbcs-263	147	29	may	may	PROPN
eajbcs-263	147	30	3	3	NUM
eajbcs-263	147	31	,	,	PUNCT
eajbcs-263	147	32	2021	2021	NUM
eajbcs-263	147	33	)	)	PUNCT
eajbcs-263	147	34	.	.	PUNCT
eajbcs-263	148	1	infected	infected	ADJ
eajbcs-263	148	2	cases	case	NOUN
eajbcs-263	148	3	,	,	PUNCT
eajbcs-263	148	4	recovered	recovered	ADJ
eajbcs-263	148	5	and	and	CCONJ
eajbcs-263	148	6	death	death	NOUN
eajbcs-263	148	7	cases	case	NOUN
eajbcs-263	148	8	are	be	AUX
eajbcs-263	148	9	expected	expect	VERB
eajbcs-263	148	10	to	to	PART
eajbcs-263	148	11	considerably	considerably	ADV
eajbcs-263	148	12	increase	increase	VERB
eajbcs-263	148	13	in	in	ADP
eajbcs-263	148	14	the	the	DET
eajbcs-263	148	15	coming	come	VERB
eajbcs-263	148	16	five	five	NUM
eajbcs-263	148	17	months	month	NOUN
eajbcs-263	148	18	.	.	PUNCT
eajbcs-263	149	1	by	by	ADP
eajbcs-263	149	2	the	the	DET
eajbcs-263	149	3	end	end	NOUN
eajbcs-263	149	4	of	of	ADP
eajbcs-263	149	5	may	may	PROPN
eajbcs-263	149	6	3	3	NUM
eajbcs-263	149	7	,	,	PUNCT
eajbcs-263	149	8	2021	2021	NUM
eajbcs-263	149	9	,	,	PUNCT
eajbcs-263	149	10	cumulative	cumulative	ADJ
eajbcs-263	149	11	confirmed	confirm	VERB
eajbcs-263	149	12	,	,	PUNCT
eajbcs-263	149	13	recovered	recovered	ADJ
eajbcs-263	149	14	and	and	CCONJ
eajbcs-263	149	15	death	death	NOUN
eajbcs-263	149	16	cases	case	NOUN
eajbcs-263	149	17	across	across	ADP
eajbcs-263	149	18	ethiopia	ethiopia	PROPN
eajbcs-263	149	19	,	,	PUNCT
eajbcs-263	149	20	will	will	AUX
eajbcs-263	149	21	reach	reach	VERB
eajbcs-263	149	22	320,597	320,597	NUM
eajbcs-263	149	23	,	,	PUNCT
eajbcs-263	149	24	168,912	168,912	NUM
eajbcs-263	149	25	and	and	CCONJ
eajbcs-263	149	26	4438	4438	NUM
eajbcs-263	149	27	respectively	respectively	ADV
eajbcs-263	149	28	.	.	PUNCT
eajbcs-263	150	1	figure	figure	VERB
eajbcs-263	150	2	7	7	NUM
eajbcs-263	150	3	:	:	PUNCT
eajbcs-263	150	4	forecasting	forecasting	NOUN
eajbcs-263	150	5	value	value	NOUN
eajbcs-263	150	6	with	with	ADP
eajbcs-263	150	7	95	95	NUM
eajbcs-263	150	8	%	%	NOUN
eajbcs-263	150	9	prediction	prediction	NOUN
eajbcs-263	150	10	interval	interval	NOUN
eajbcs-263	150	11	for	for	ADP
eajbcs-263	150	12	deaths	death	NOUN
eajbcs-263	150	13	case	case	NOUN
eajbcs-263	150	14	in	in	ADP
eajbcs-263	150	15	ethiopia	ethiopia	PROPN
eajbcs-263	150	16	discussion	discussion	NOUN
eajbcs-263	150	17	it	it	PRON
eajbcs-263	150	18	is	be	AUX
eajbcs-263	150	19	crucial	crucial	ADJ
eajbcs-263	150	20	to	to	PART
eajbcs-263	150	21	generate	generate	VERB
eajbcs-263	150	22	consistent	consistent	ADJ
eajbcs-263	150	23	and	and	CCONJ
eajbcs-263	150	24	appropriate	appropriate	ADJ
eajbcs-263	150	25	forecasting	forecasting	NOUN
eajbcs-263	150	26	model	model	NOUN
eajbcs-263	150	27	that	that	PRON
eajbcs-263	150	28	can	can	AUX
eajbcs-263	150	29	assistance	assistance	VERB
eajbcs-263	150	30	health	health	NOUN
eajbcs-263	150	31	system	system	NOUN
eajbcs-263	150	32	administrations	administration	NOUN
eajbcs-263	150	33	and	and	CCONJ
eajbcs-263	150	34	other	other	ADJ
eajbcs-263	150	35	stakeholders	stakeholder	NOUN
eajbcs-263	150	36	to	to	PART
eajbcs-263	150	37	prevent	prevent	VERB
eajbcs-263	150	38	the	the	DET
eajbcs-263	150	39	extra	extra	ADJ
eajbcs-263	150	40	blowout	blowout	NOUN
eajbcs-263	150	41	of	of	ADP
eajbcs-263	150	42	covid-19	covid-19	PROPN
eajbcs-263	150	43	.	.	PROPN
eajbcs-263	150	44	time	time	PROPN
eajbcs-263	150	45	series	series	PROPN
eajbcs-263	150	46	forecasting	forecasting	NOUN
eajbcs-263	150	47	models	model	NOUN
eajbcs-263	150	48	is	be	AUX
eajbcs-263	150	49	the	the	DET
eajbcs-263	150	50	statistical	statistical	ADJ
eajbcs-263	150	51	method	method	NOUN
eajbcs-263	150	52	which	which	PRON
eajbcs-263	150	53	provides	provide	VERB
eajbcs-263	150	54	a	a	DET
eajbcs-263	150	55	clothed	clothe	VERB
eajbcs-263	150	56	forecast	forecast	NOUN
eajbcs-263	150	57	and	and	CCONJ
eajbcs-263	150	58	has	have	AUX
eajbcs-263	150	59	been	be	AUX
eajbcs-263	150	60	extensively	extensively	ADV
eajbcs-263	150	61	practical	practical	ADJ
eajbcs-263	150	62	for	for	ADP
eajbcs-263	150	63	trend	trend	NOUN
eajbcs-263	150	64	of	of	ADP
eajbcs-263	150	65	communicable	communicable	ADJ
eajbcs-263	150	66	sickness	sickness	NOUN
eajbcs-263	150	67	in	in	ADP
eajbcs-263	150	68	rapid	rapid	ADJ
eajbcs-263	150	69	time	time	NOUN
eajbcs-263	150	70	(	(	PUNCT
eajbcs-263	150	71	fanelli	fanelli	ADJ
eajbcs-263	150	72	and	and	CCONJ
eajbcs-263	150	73	piazza	piazza	VERB
eajbcs-263	150	74	2020	2020	NUM
eajbcs-263	150	75	)	)	PUNCT
eajbcs-263	150	76	.	.	PUNCT
eajbcs-263	151	1	arima	arima	NOUN
eajbcs-263	151	2	models	model	NOUN
eajbcs-263	151	3	are	be	AUX
eajbcs-263	151	4	predictive	predictive	ADJ
eajbcs-263	151	5	technique	technique	NOUN
eajbcs-263	151	6	that	that	PRON
eajbcs-263	151	7	offers	offer	VERB
eajbcs-263	151	8	a	a	DET
eajbcs-263	151	9	good	good	ADJ
eajbcs-263	151	10	forecast	forecast	NOUN
eajbcs-263	151	11	and	and	CCONJ
eajbcs-263	151	12	has	have	AUX
eajbcs-263	151	13	been	be	AUX
eajbcs-263	151	14	widely	widely	ADV
eajbcs-263	151	15	used	use	VERB
eajbcs-263	151	16	for	for	ADP
eajbcs-263	151	17	the	the	DET
eajbcs-263	151	18	rapid	rapid	ADJ
eajbcs-263	151	19	trend	trend	NOUN
eajbcs-263	151	20	of	of	ADP
eajbcs-263	151	21	infectious	infectious	ADJ
eajbcs-263	151	22	diseases	disease	NOUN
eajbcs-263	151	23	(	(	PUNCT
eajbcs-263	151	24	holt	holt	PROPN
eajbcs-263	151	25	,	,	PUNCT
eajbcs-263	151	26	1957	1957	NUM
eajbcs-263	151	27	,	,	PUNCT
eajbcs-263	151	28	hyndman	hyndman	NOUN
eajbcs-263	151	29	et	et	PROPN
eajbcs-263	151	30	al	al	PROPN
eajbcs-263	151	31	,	,	PUNCT
eajbcs-263	151	32	2008	2008	NUM
eajbcs-263	151	33	,	,	PUNCT
eajbcs-263	151	34	shumway	shumway	NOUN
eajbcs-263	151	35	and	and	CCONJ
eajbcs-263	151	36	stoffer	stoffer	PROPN
eajbcs-263	151	37	,	,	PUNCT
eajbcs-263	151	38	2010	2010	NUM
eajbcs-263	151	39	)	)	PUNCT
eajbcs-263	151	40	.	.	PUNCT
eajbcs-263	152	1	over	over	ADP
eajbcs-263	152	2	strict	strict	ADJ
eajbcs-263	152	3	follows	follow	NOUN
eajbcs-263	152	4	of	of	ADP
eajbcs-263	152	5	all	all	DET
eajbcs-263	152	6	phase	phase	NOUN
eajbcs-263	152	7	of	of	ADP
eajbcs-263	152	8	box	box	NOUN
eajbcs-263	152	9	-	-	PUNCT
eajbcs-263	152	10	jenkins	jenkin	NOUN
eajbcs-263	152	11	strategy	strategy	NOUN
eajbcs-263	152	12	,	,	PUNCT
eajbcs-263	152	13	arima	arima	PROPN
eajbcs-263	152	14	(	(	PUNCT
eajbcs-263	152	15	1,1,1	1,1,1	NUM
eajbcs-263	152	16	)	)	PUNCT
eajbcs-263	152	17	,	,	PUNCT
eajbcs-263	152	18	arima	arima	PROPN
eajbcs-263	152	19	(	(	PUNCT
eajbcs-263	152	20	16,1,2	16,1,2	NOUN
eajbcs-263	152	21	)	)	PUNCT
eajbcs-263	152	22	and	and	CCONJ
eajbcs-263	152	23	arima	arima	PROPN
eajbcs-263	152	24	(	(	PUNCT
eajbcs-263	152	25	0,1,1	0,1,1	NOUN
eajbcs-263	152	26	)	)	PUNCT
eajbcs-263	152	27	models	model	NOUN
eajbcs-263	152	28	for	for	ADP
eajbcs-263	152	29	confirmed	confirm	VERB
eajbcs-263	152	30	case	case	NOUN
eajbcs-263	152	31	,	,	PUNCT
eajbcs-263	152	32	recovered	recovered	ADJ
eajbcs-263	152	33	and	and	CCONJ
eajbcs-263	152	34	death	death	NOUN
eajbcs-263	152	35	case	case	NOUN
eajbcs-263	152	36	respectively	respectively	ADV
eajbcs-263	152	37	were	be	AUX
eajbcs-263	152	38	selected	select	VERB
eajbcs-263	152	39	as	as	ADP
eajbcs-263	152	40	the	the	DET
eajbcs-263	152	41	best	good	ADJ
eajbcs-263	152	42	models	model	NOUN
eajbcs-263	152	43	for	for	ADP
eajbcs-263	152	44	predicting	predict	VERB
eajbcs-263	152	45	covid-19	covid-19	PROPN
eajbcs-263	152	46	cases	case	NOUN
eajbcs-263	152	47	of	of	ADP
eajbcs-263	152	48	ethiopia	ethiopia	PROPN
eajbcs-263	152	49	.	.	PUNCT
eajbcs-263	153	1	time	time	PROPN
eajbcs-263	153	2	series	series	PROPN
eajbcs-263	153	3	analysis	analysis	NOUN
eajbcs-263	153	4	of	of	ADP
eajbcs-263	153	5	covid-19	covid-19	PROPN
eajbcs-263	153	6	provides	provide	VERB
eajbcs-263	153	7	the	the	DET
eajbcs-263	153	8	direction	direction	NOUN
eajbcs-263	153	9	and	and	CCONJ
eajbcs-263	153	10	movement	movement	NOUN
eajbcs-263	153	11	of	of	ADP
eajbcs-263	153	12	the	the	DET
eajbcs-263	153	13	epidemic	epidemic	NOUN
eajbcs-263	153	14	and	and	CCONJ
eajbcs-263	153	15	forecasts	forecast	VERB
eajbcs-263	153	16	the	the	DET
eajbcs-263	153	17	probable	probable	ADJ
eajbcs-263	153	18	progress	progress	NOUN
eajbcs-263	153	19	of	of	ADP
eajbcs-263	153	20	upcoming	upcoming	ADJ
eajbcs-263	153	21	epidemics	epidemic	NOUN
eajbcs-263	153	22	.	.	PUNCT
eajbcs-263	154	1	using	use	VERB
eajbcs-263	154	2	these	these	DET
eajbcs-263	154	3	models	model	NOUN
eajbcs-263	154	4	,	,	PUNCT
eajbcs-263	154	5	a	a	DET
eajbcs-263	154	6	forecasts	forecast	NOUN
eajbcs-263	154	7	of	of	ADP
eajbcs-263	154	8	five	five	NUM
eajbcs-263	154	9	month	month	NOUN
eajbcs-263	154	10	a	a	DET
eajbcs-263	154	11	heads	head	NOUN
eajbcs-263	154	12	future	future	ADJ
eajbcs-263	154	13	situation	situation	NOUN
eajbcs-263	154	14	of	of	ADP
eajbcs-263	154	15	covid-19	covid-19	PROPN
eajbcs-263	154	16	confirmed	confirm	VERB
eajbcs-263	154	17	case	case	NOUN
eajbcs-263	154	18	,	,	PUNCT
eajbcs-263	154	19	recovered	recovered	ADJ
eajbcs-263	154	20	and	and	CCONJ
eajbcs-263	154	21	death	death	NOUN
eajbcs-263	154	22	case	case	NOUN
eajbcs-263	154	23	(	(	PUNCT
eajbcs-263	154	24	jan	jan	PROPN
eajbcs-263	154	25	3	3	NUM
eajbcs-263	154	26	,	,	PUNCT
eajbcs-263	154	27	2021	2021	NUM
eajbcs-263	154	28	to	to	PART
eajbcs-263	154	29	may	may	PROPN
eajbcs-263	154	30	3	3	NUM
eajbcs-263	154	31	,	,	PUNCT
eajbcs-263	154	32	2021	2021	NUM
eajbcs-263	154	33	)	)	PUNCT
eajbcs-263	154	34	has	have	AUX
eajbcs-263	154	35	made	make	VERB
eajbcs-263	154	36	.	.	PUNCT
eajbcs-263	155	1	in	in	ADP
eajbcs-263	155	2	diverse	diverse	ADJ
eajbcs-263	155	3	area	area	NOUN
eajbcs-263	155	4	,	,	PUNCT
eajbcs-263	155	5	a	a	DET
eajbcs-263	155	6	lot	lot	NOUN
eajbcs-263	155	7	of	of	ADP
eajbcs-263	155	8	numeric	numeric	ADJ
eajbcs-263	155	9	researches	research	NOUN
eajbcs-263	155	10	have	have	AUX
eajbcs-263	155	11	been	be	AUX
eajbcs-263	155	12	showed	show	VERB
eajbcs-263	155	13	to	to	PART
eajbcs-263	155	14	forecast	forecast	VERB
eajbcs-263	155	15	new	new	ADJ
eajbcs-263	155	16	case	case	NOUN
eajbcs-263	155	17	of	of	ADP
eajbcs-263	155	18	covid-19	covid-19	PROPN
eajbcs-263	155	19	case	case	NOUN
eajbcs-263	155	20	using	use	VERB
eajbcs-263	155	21	arima	arima	PROPN
eajbcs-263	155	22	model	model	NOUN
eajbcs-263	155	23	(	(	PUNCT
eajbcs-263	155	24	gupta	gupta	NOUN
eajbcs-263	155	25	and	and	CCONJ
eajbcs-263	155	26	pal	pal	NOUN
eajbcs-263	155	27	,	,	PUNCT
eajbcs-263	155	28	2020	2020	NUM
eajbcs-263	155	29	;	;	PUNCT
eajbcs-263	155	30	li	li	PROPN
eajbcs-263	155	31	et	et	PROPN
eajbcs-263	155	32	al	al	PROPN
eajbcs-263	155	33	.	.	PROPN
eajbcs-263	155	34	,	,	PUNCT
eajbcs-263	155	35	east	east	PROPN
eajbcs-263	155	36	afr	afr	PROPN
eajbcs-263	155	37	.	.	PUNCT
eajbcs-263	156	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	156	2	.	.	PUNCT
eajbcs-263	157	1	sci	sci	PROPN
eajbcs-263	157	2	.	.	PUNCT
eajbcs-263	158	1	(	(	PUNCT
eajbcs-263	158	2	2022	2022	NUM
eajbcs-263	158	3	)	)	PUNCT
eajbcs-263	158	4	,	,	PUNCT
eajbcs-263	158	5	vol	vol	NOUN
eajbcs-263	158	6	.	.	PROPN
eajbcs-263	159	1	3	3	NUM
eajbcs-263	159	2	,	,	PUNCT
eajbcs-263	159	3	no	no	INTJ
eajbcs-263	159	4	.	.	NOUN
eajbcs-263	159	5	1	1	NUM
eajbcs-263	159	6	,	,	PUNCT
eajbcs-263	159	7	58	58	NUM
eajbcs-263	159	8	-	-	SYM
eajbcs-263	159	9	68	68	NUM
eajbcs-263	159	10	67	67	NUM
eajbcs-263	159	11	2020	2020	NUM
eajbcs-263	159	12	,	,	PUNCT
eajbcs-263	159	13	yonar	yonar	PROPN
eajbcs-263	159	14	et	et	PROPN
eajbcs-263	159	15	al	al	PROPN
eajbcs-263	159	16	.	.	PROPN
eajbcs-263	159	17	,	,	PUNCT
eajbcs-263	159	18	2020	2020	NUM
eajbcs-263	159	19	;	;	PUNCT
eajbcs-263	160	1	zhan	zhan	PROPN
eajbcs-263	160	2	et	et	PROPN
eajbcs-263	160	3	al	al	PROPN
eajbcs-263	160	4	.	.	PROPN
eajbcs-263	160	5	,	,	PUNCT
eajbcs-263	160	6	2020	2020	NUM
eajbcs-263	160	7	)	)	PUNCT
eajbcs-263	160	8	which	which	PRON
eajbcs-263	160	9	are	be	AUX
eajbcs-263	160	10	consistent	consistent	ADJ
eajbcs-263	160	11	with	with	ADP
eajbcs-263	160	12	this	this	DET
eajbcs-263	160	13	research	research	NOUN
eajbcs-263	160	14	.	.	PUNCT
eajbcs-263	161	1	in	in	ADP
eajbcs-263	161	2	line	line	NOUN
eajbcs-263	161	3	with	with	ADP
eajbcs-263	161	4	the	the	DET
eajbcs-263	161	5	current	current	ADJ
eajbcs-263	161	6	study	study	NOUN
eajbcs-263	161	7	,	,	PUNCT
eajbcs-263	161	8	li	li	PROPN
eajbcs-263	161	9	et	et	PROPN
eajbcs-263	161	10	al	al	PROPN
eajbcs-263	161	11	.	.	PROPN
eajbcs-263	162	1	(	(	PUNCT
eajbcs-263	162	2	2020	2020	NUM
eajbcs-263	162	3	)	)	PUNCT
eajbcs-263	162	4	and	and	CCONJ
eajbcs-263	162	5	das	das	PROPN
eajbcs-263	162	6	(	(	PUNCT
eajbcs-263	162	7	2020	2020	NUM
eajbcs-263	162	8	)	)	PUNCT
eajbcs-263	162	9	also	also	ADV
eajbcs-263	162	10	used	use	VERB
eajbcs-263	162	11	arima	arima	PROPN
eajbcs-263	162	12	model	model	NOUN
eajbcs-263	162	13	to	to	ADP
eajbcs-263	162	14	predicting	predict	VERB
eajbcs-263	162	15	covid-19	covid-19	PROPN
eajbcs-263	162	16	epidemic	epidemic	NOUN
eajbcs-263	162	17	in	in	ADP
eajbcs-263	162	18	india	india	PROPN
eajbcs-263	162	19	and	and	CCONJ
eajbcs-263	162	20	china	china	PROPN
eajbcs-263	162	21	,	,	PUNCT
eajbcs-263	162	22	respectively	respectively	ADV
eajbcs-263	162	23	and	and	CCONJ
eajbcs-263	162	24	showed	show	VERB
eajbcs-263	162	25	that	that	SCONJ
eajbcs-263	162	26	the	the	DET
eajbcs-263	162	27	infected	infected	ADJ
eajbcs-263	162	28	case	case	NOUN
eajbcs-263	162	29	were	be	AUX
eajbcs-263	162	30	increasing	increase	VERB
eajbcs-263	162	31	.	.	PUNCT
eajbcs-263	163	1	covid-19	covid-19	PROPN
eajbcs-263	163	2	cases	case	NOUN
eajbcs-263	163	3	reported	report	VERB
eajbcs-263	163	4	in	in	ADP
eajbcs-263	163	5	the	the	DET
eajbcs-263	163	6	country	country	NOUN
eajbcs-263	163	7	is	be	AUX
eajbcs-263	163	8	assumed	assume	VERB
eajbcs-263	163	9	to	to	PART
eajbcs-263	163	10	exceed	exceed	VERB
eajbcs-263	163	11	160,585	160,585	NUM
eajbcs-263	163	12	in	in	ADP
eajbcs-263	163	13	the	the	DET
eajbcs-263	163	14	five	five	NUM
eajbcs-263	163	15	months	month	NOUN
eajbcs-263	163	16	of	of	ADP
eajbcs-263	163	17	2021	2021	NUM
eajbcs-263	163	18	.	.	PUNCT
eajbcs-263	164	1	at	at	ADP
eajbcs-263	164	2	the	the	DET
eajbcs-263	164	3	end	end	NOUN
eajbcs-263	164	4	of	of	ADP
eajbcs-263	164	5	may	may	AUX
eajbcs-263	164	6	,	,	PUNCT
eajbcs-263	164	7	inline	inline	VERB
eajbcs-263	164	8	projected	project	VERB
eajbcs-263	164	9	cumulative	cumulative	ADJ
eajbcs-263	164	10	infections	infection	NOUN
eajbcs-263	164	11	across	across	ADP
eajbcs-263	164	12	ethiopia	ethiopia	PROPN
eajbcs-263	164	13	to	to	PART
eajbcs-263	164	14	hit	hit	VERB
eajbcs-263	164	15	156,610	156,610	NUM
eajbcs-263	164	16	on	on	ADP
eajbcs-263	164	17	average	average	ADJ
eajbcs-263	164	18	(	(	PUNCT
eajbcs-263	164	19	hyndman	hyndman	NOUN
eajbcs-263	164	20	et	et	PROPN
eajbcs-263	164	21	al	al	PROPN
eajbcs-263	164	22	,	,	PUNCT
eajbcs-263	164	23	2008	2008	NUM
eajbcs-263	164	24	)	)	PUNCT
eajbcs-263	164	25	,	,	PUNCT
eajbcs-263	164	26	while	while	SCONJ
eajbcs-263	164	27	the	the	DET
eajbcs-263	164	28	real	real	ADJ
eajbcs-263	164	29	value	value	NOUN
eajbcs-263	164	30	until	until	SCONJ
eajbcs-263	164	31	19	19	NUM
eajbcs-263	164	32	may	may	NOUN
eajbcs-263	164	33	was	be	AUX
eajbcs-263	164	34	just	just	ADV
eajbcs-263	164	35	189,137	189,137	NUM
eajbcs-263	164	36	cases	case	NOUN
eajbcs-263	164	37	and	and	CCONJ
eajbcs-263	164	38	1352	1352	NUM
eajbcs-263	164	39	deaths	death	NOUN
eajbcs-263	164	40	(	(	PUNCT
eajbcs-263	164	41	yonar	yonar	PROPN
eajbcs-263	164	42	et	et	PROPN
eajbcs-263	164	43	al	al	PROPN
eajbcs-263	164	44	.	.	PROPN
eajbcs-263	164	45	,	,	PUNCT
eajbcs-263	164	46	2020	2020	NUM
eajbcs-263	164	47	)	)	PUNCT
eajbcs-263	164	48	.	.	PUNCT
eajbcs-263	165	1	this	this	PRON
eajbcs-263	165	2	means	mean	VERB
eajbcs-263	165	3	that	that	SCONJ
eajbcs-263	165	4	the	the	DET
eajbcs-263	165	5	number	number	NOUN
eajbcs-263	165	6	of	of	ADP
eajbcs-263	165	7	people	people	NOUN
eajbcs-263	165	8	who	who	PRON
eajbcs-263	165	9	are	be	AUX
eajbcs-263	165	10	corona	corona	NOUN
eajbcs-263	165	11	-	-	PUNCT
eajbcs-263	165	12	virus	virus	NOUN
eajbcs-263	165	13	-	-	PUNCT
eajbcs-263	165	14	positive	positive	ADJ
eajbcs-263	165	15	in	in	ADP
eajbcs-263	165	16	ethiopia	ethiopia	PROPN
eajbcs-263	165	17	can	can	AUX
eajbcs-263	165	18	increase	increase	VERB
eajbcs-263	165	19	more	more	ADV
eajbcs-263	165	20	than	than	ADP
eajbcs-263	165	21	predicted	predict	VERB
eajbcs-263	165	22	(	(	PUNCT
eajbcs-263	165	23	hyndman	hyndman	NOUN
eajbcs-263	165	24	et	et	PROPN
eajbcs-263	165	25	al	al	PROPN
eajbcs-263	165	26	,	,	PUNCT
eajbcs-263	165	27	2008	2008	NUM
eajbcs-263	165	28	)	)	PUNCT
eajbcs-263	165	29	.	.	PUNCT
eajbcs-263	166	1	however	however	ADV
eajbcs-263	166	2	,	,	PUNCT
eajbcs-263	166	3	in	in	ADP
eajbcs-263	166	4	this	this	DET
eajbcs-263	166	5	analysis	analysis	NOUN
eajbcs-263	166	6	,	,	PUNCT
eajbcs-263	166	7	the	the	DET
eajbcs-263	166	8	cumulative	cumulative	ADJ
eajbcs-263	166	9	confirmed	confirm	VERB
eajbcs-263	166	10	,	,	PUNCT
eajbcs-263	166	11	cumulative	cumulative	ADJ
eajbcs-263	166	12	recovered	recover	VERB
eajbcs-263	166	13	and	and	CCONJ
eajbcs-263	166	14	cumulative	cumulative	ADJ
eajbcs-263	166	15	death	death	NOUN
eajbcs-263	166	16	forecast	forecast	NOUN
eajbcs-263	166	17	cases	case	NOUN
eajbcs-263	166	18	on	on	ADP
eajbcs-263	166	19	may	may	PROPN
eajbcs-263	166	20	3	3	NUM
eajbcs-263	166	21	,	,	PUNCT
eajbcs-263	166	22	2021	2021	NUM
eajbcs-263	166	23	,	,	PUNCT
eajbcs-263	166	24	are	be	AUX
eajbcs-263	166	25	320,597	320,597	NUM
eajbcs-263	166	26	,	,	PUNCT
eajbcs-263	166	27	168,912	168,912	NUM
eajbcs-263	166	28	and	and	CCONJ
eajbcs-263	166	29	4438	4438	NUM
eajbcs-263	166	30	,	,	PUNCT
eajbcs-263	166	31	respectively	respectively	ADV
eajbcs-263	166	32	.	.	PUNCT
eajbcs-263	167	1	similar	similar	ADJ
eajbcs-263	167	2	to	to	ADP
eajbcs-263	167	3	the	the	DET
eajbcs-263	167	4	predicted	predict	VERB
eajbcs-263	167	5	values	value	NOUN
eajbcs-263	167	6	in	in	ADP
eajbcs-263	167	7	this	this	DET
eajbcs-263	167	8	study	study	NOUN
eajbcs-263	167	9	,	,	PUNCT
eajbcs-263	167	10	variation	variation	NOUN
eajbcs-263	167	11	of	of	ADP
eajbcs-263	167	12	pandemics	pandemic	NOUN
eajbcs-263	167	13	in	in	ADP
eajbcs-263	167	14	ethiopia	ethiopia	PROPN
eajbcs-263	167	15	in	in	ADP
eajbcs-263	167	16	the	the	DET
eajbcs-263	167	17	first	first	ADJ
eajbcs-263	167	18	five	five	NUM
eajbcs-263	167	19	months	month	NOUN
eajbcs-263	167	20	has	have	AUX
eajbcs-263	167	21	been	be	AUX
eajbcs-263	167	22	shown	show	VERB
eajbcs-263	167	23	to	to	PART
eajbcs-263	167	24	increase	increase	VERB
eajbcs-263	167	25	(	(	PUNCT
eajbcs-263	167	26	hyndman	hyndman	NOUN
eajbcs-263	167	27	et	et	PROPN
eajbcs-263	167	28	al	al	PROPN
eajbcs-263	167	29	,	,	PUNCT
eajbcs-263	167	30	2008	2008	NUM
eajbcs-263	167	31	)	)	PUNCT
eajbcs-263	167	32	.	.	PUNCT
eajbcs-263	168	1	the	the	DET
eajbcs-263	168	2	scholars	scholar	NOUN
eajbcs-263	168	3	disprove	disprove	VERB
eajbcs-263	168	4	the	the	DET
eajbcs-263	168	5	effect	effect	NOUN
eajbcs-263	168	6	of	of	ADP
eajbcs-263	168	7	geographical	geographical	ADJ
eajbcs-263	168	8	difference	difference	NOUN
eajbcs-263	168	9	and	and	CCONJ
eajbcs-263	168	10	temperature	temperature	NOUN
eajbcs-263	168	11	in	in	ADP
eajbcs-263	168	12	reducing	reduce	VERB
eajbcs-263	168	13	the	the	DET
eajbcs-263	168	14	distribution	distribution	NOUN
eajbcs-263	168	15	of	of	ADP
eajbcs-263	168	16	covid-19	covid-19	PROPN
eajbcs-263	168	17	(	(	PUNCT
eajbcs-263	168	18	granger	granger	NOUN
eajbcs-263	168	19	and	and	CCONJ
eajbcs-263	168	20	newbold	newbold	PROPN
eajbcs-263	168	21	,	,	PUNCT
eajbcs-263	168	22	1986	1986	NUM
eajbcs-263	168	23	)	)	PUNCT
eajbcs-263	168	24	.	.	PUNCT
eajbcs-263	169	1	the	the	DET
eajbcs-263	169	2	covid-19	covid-19	PROPN
eajbcs-263	169	3	pandemic	pandemic	NOUN
eajbcs-263	169	4	has	have	AUX
eajbcs-263	169	5	caused	cause	VERB
eajbcs-263	169	6	significant	significant	ADJ
eajbcs-263	169	7	global	global	ADJ
eajbcs-263	169	8	social	social	ADJ
eajbcs-263	169	9	and	and	CCONJ
eajbcs-263	169	10	economic	economic	ADJ
eajbcs-263	169	11	disruption	disruption	NOUN
eajbcs-263	169	12	.	.	PUNCT
eajbcs-263	170	1	while	while	SCONJ
eajbcs-263	170	2	pre	pre	ADJ
eajbcs-263	170	3	-	-	ADJ
eajbcs-263	170	4	protective	protective	ADJ
eajbcs-263	170	5	strategies	strategy	NOUN
eajbcs-263	170	6	are	be	AUX
eajbcs-263	170	7	crucial	crucial	ADJ
eajbcs-263	170	8	in	in	ADP
eajbcs-263	170	9	managing	manage	VERB
eajbcs-263	170	10	the	the	DET
eajbcs-263	170	11	spread	spread	NOUN
eajbcs-263	170	12	of	of	ADP
eajbcs-263	170	13	covid-19	covid-19	PROPN
eajbcs-263	170	14	,	,	PUNCT
eajbcs-263	170	15	this	this	DET
eajbcs-263	170	16	study	study	NOUN
eajbcs-263	170	17	does	do	AUX
eajbcs-263	170	18	not	not	PART
eajbcs-263	170	19	evaluate	evaluate	VERB
eajbcs-263	170	20	their	their	PRON
eajbcs-263	170	21	impact	impact	NOUN
eajbcs-263	170	22	due	due	ADP
eajbcs-263	170	23	to	to	ADP
eajbcs-263	170	24	the	the	DET
eajbcs-263	170	25	unavailability	unavailability	NOUN
eajbcs-263	170	26	of	of	ADP
eajbcs-263	170	27	exposure	exposure	NOUN
eajbcs-263	170	28	data	datum	NOUN
eajbcs-263	170	29	conclusions	conclusion	NOUN
eajbcs-263	170	30	since	since	SCONJ
eajbcs-263	170	31	the	the	DET
eajbcs-263	170	32	study	study	NOUN
eajbcs-263	170	33	shows	show	VERB
eajbcs-263	170	34	the	the	DET
eajbcs-263	170	35	increase	increase	NOUN
eajbcs-263	170	36	in	in	ADP
eajbcs-263	170	37	the	the	DET
eajbcs-263	170	38	number	number	NOUN
eajbcs-263	170	39	of	of	ADP
eajbcs-263	170	40	deaths	death	NOUN
eajbcs-263	170	41	and	and	CCONJ
eajbcs-263	170	42	confirmed	confirm	VERB
eajbcs-263	170	43	cases	case	NOUN
eajbcs-263	170	44	in	in	ADP
eajbcs-263	170	45	ethiopia	ethiopia	PROPN
eajbcs-263	170	46	,	,	PUNCT
eajbcs-263	170	47	more	more	ADJ
eajbcs-263	170	48	attention	attention	NOUN
eajbcs-263	170	49	should	should	AUX
eajbcs-263	170	50	be	be	AUX
eajbcs-263	170	51	given	give	VERB
eajbcs-263	170	52	to	to	ADP
eajbcs-263	170	53	the	the	DET
eajbcs-263	170	54	control	control	NOUN
eajbcs-263	170	55	and	and	CCONJ
eajbcs-263	170	56	prevention	prevention	NOUN
eajbcs-263	170	57	of	of	ADP
eajbcs-263	170	58	covid-19	covid-19	PROPN
eajbcs-263	170	59	.	.	PUNCT
eajbcs-263	171	1	without	without	ADP
eajbcs-263	171	2	the	the	DET
eajbcs-263	171	3	implementation	implementation	NOUN
eajbcs-263	171	4	of	of	ADP
eajbcs-263	171	5	effective	effective	ADJ
eajbcs-263	171	6	infection	infection	NOUN
eajbcs-263	171	7	control	control	NOUN
eajbcs-263	171	8	measures	measure	NOUN
eajbcs-263	171	9	by	by	ADP
eajbcs-263	171	10	the	the	DET
eajbcs-263	171	11	government	government	NOUN
eajbcs-263	171	12	of	of	ADP
eajbcs-263	171	13	ethiopia	ethiopia	PROPN
eajbcs-263	171	14	,	,	PUNCT
eajbcs-263	171	15	the	the	DET
eajbcs-263	171	16	covid-19	covid-19	PROPN
eajbcs-263	171	17	situation	situation	NOUN
eajbcs-263	171	18	is	be	AUX
eajbcs-263	171	19	expected	expect	VERB
eajbcs-263	171	20	to	to	PART
eajbcs-263	171	21	deteriorate	deteriorate	VERB
eajbcs-263	171	22	,	,	PUNCT
eajbcs-263	171	23	leading	lead	VERB
eajbcs-263	171	24	to	to	ADP
eajbcs-263	171	25	greater	great	ADJ
eajbcs-263	171	26	consequences	consequence	NOUN
eajbcs-263	171	27	for	for	ADP
eajbcs-263	171	28	the	the	DET
eajbcs-263	171	29	nation	nation	NOUN
eajbcs-263	171	30	.	.	PUNCT
eajbcs-263	172	1	consequently	consequently	ADV
eajbcs-263	172	2	,	,	PUNCT
eajbcs-263	172	3	this	this	DET
eajbcs-263	172	4	study	study	NOUN
eajbcs-263	172	5	advocates	advocate	VERB
eajbcs-263	172	6	for	for	ADP
eajbcs-263	172	7	the	the	DET
eajbcs-263	172	8	development	development	NOUN
eajbcs-263	172	9	and	and	CCONJ
eajbcs-263	172	10	enforcement	enforcement	NOUN
eajbcs-263	172	11	of	of	ADP
eajbcs-263	172	12	sustainable	sustainable	ADJ
eajbcs-263	172	13	pandemic	pandemic	ADJ
eajbcs-263	172	14	control	control	NOUN
eajbcs-263	172	15	strategies	strategy	NOUN
eajbcs-263	172	16	.	.	PUNCT
eajbcs-263	173	1	utilizing	utilize	VERB
eajbcs-263	173	2	the	the	DET
eajbcs-263	173	3	arima	arima	PROPN
eajbcs-263	173	4	model	model	NOUN
eajbcs-263	173	5	allows	allow	VERB
eajbcs-263	173	6	for	for	ADP
eajbcs-263	173	7	forecasting	forecast	VERB
eajbcs-263	173	8	the	the	DET
eajbcs-263	173	9	future	future	ADJ
eajbcs-263	173	10	spread	spread	NOUN
eajbcs-263	173	11	of	of	ADP
eajbcs-263	173	12	covid-19	covid-19	PROPN
eajbcs-263	173	13	based	base	VERB
eajbcs-263	173	14	on	on	ADP
eajbcs-263	173	15	existing	exist	VERB
eajbcs-263	173	16	data	datum	NOUN
eajbcs-263	173	17	,	,	PUNCT
eajbcs-263	173	18	which	which	PRON
eajbcs-263	173	19	will	will	AUX
eajbcs-263	173	20	assist	assist	VERB
eajbcs-263	173	21	institutions	institution	NOUN
eajbcs-263	173	22	in	in	ADP
eajbcs-263	173	23	formulating	formulate	VERB
eajbcs-263	173	24	appropriate	appropriate	ADJ
eajbcs-263	173	25	policies	policy	NOUN
eajbcs-263	173	26	.	.	PUNCT
eajbcs-263	174	1	references	reference	NOUN
eajbcs-263	174	2	box	box	PROPN
eajbcs-263	174	3	g.	g.	PROPN
eajbcs-263	174	4	and	and	CCONJ
eajbcs-263	174	5	jenkins	jenkins	PROPN
eajbcs-263	174	6	g.	g.	PROPN
eajbcs-263	174	7	1976	1976	NUM
eajbcs-263	174	8	.	.	PUNCT
eajbcs-263	175	1	time	time	NOUN
eajbcs-263	175	2	series	series	PROPN
eajbcs-263	175	3	analysis	analysis	NOUN
eajbcs-263	175	4	:	:	PUNCT
eajbcs-263	175	5	forecasting	forecasting	NOUN
eajbcs-263	175	6	and	and	CCONJ
eajbcs-263	175	7	control	control	NOUN
eajbcs-263	175	8	.	.	PUNCT
eajbcs-263	176	1	holden	holden	PROPN
eajbcs-263	176	2	day	day	PROPN
eajbcs-263	176	3	.	.	PUNCT
eajbcs-263	177	1	canters	canter	NOUN
eajbcs-263	177	2	for	for	ADP
eajbcs-263	177	3	disease	disease	NOUN
eajbcs-263	177	4	control	control	NOUN
eajbcs-263	177	5	and	and	CCONJ
eajbcs-263	177	6	prevention	prevention	NOUN
eajbcs-263	177	7	.	.	PUNCT
eajbcs-263	178	1	corona	corona	NOUN
eajbcs-263	178	2	virus	virus	PROPN
eajbcs-263	178	3	disease	disease	NOUN
eajbcs-263	178	4	2019	2019	NUM
eajbcs-263	178	5	(	(	PUNCT
eajbcs-263	178	6	covid-2019	covid-2019	ADJ
eajbcs-263	178	7	)	)	PUNCT
eajbcs-263	178	8	.	.	PUNCT
eajbcs-263	179	1	[	[	X
eajbcs-263	179	2	https://www	https://www	PROPN
eajbcs-263	179	3	.	.	PUNCT
eajbcs-263	179	4	cdc.gov/coronavirus/2019-ncov	cdc.gov/coronavirus/2019-ncov	X
eajbcs-263	179	5	]	]	PUNCT
eajbcs-263	179	6	.	.	PUNCT
eajbcs-263	180	1	accessed	access	VERB
eajbcs-263	180	2	on	on	ADP
eajbcs-263	180	3	1	1	NUM
eajbcs-263	180	4	-	-	SYM
eajbcs-263	180	5	282021	282021	NUM
eajbcs-263	180	6	.	.	PUNCT
eajbcs-263	181	1	das	das	PROPN
eajbcs-263	181	2	r.	r.	PROPN
eajbcs-263	181	3	2020	2020	NUM
eajbcs-263	181	4	.	.	PUNCT
eajbcs-263	182	1	forecasting	forecast	VERB
eajbcs-263	182	2	incidences	incidence	NOUN
eajbcs-263	182	3	of	of	ADP
eajbcs-263	182	4	covid-19	covid-19	PROPN
eajbcs-263	182	5	using	use	VERB
eajbcs-263	182	6	box	box	NOUN
eajbcs-263	182	7	-	-	PUNCT
eajbcs-263	182	8	jenkins	jenkin	NOUN
eajbcs-263	182	9	method	method	NOUN
eajbcs-263	182	10	for	for	ADP
eajbcs-263	182	11	the	the	DET
eajbcs-263	182	12	period	period	NOUN
eajbcs-263	182	13	july	july	PROPN
eajbcs-263	182	14	12septembert	12septembert	PROPN
eajbcs-263	182	15	11	11	NUM
eajbcs-263	182	16	,	,	PUNCT
eajbcs-263	182	17	2020	2020	NUM
eajbcs-263	182	18	:	:	PUNCT
eajbcs-263	182	19	a	a	DET
eajbcs-263	182	20	study	study	NOUN
eajbcs-263	182	21	on	on	ADP
eajbcs-263	182	22	highly	highly	ADV
eajbcs-263	182	23	affected	affected	ADJ
eajbcs-263	182	24	countries	country	NOUN
eajbcs-263	182	25	.	.	PUNCT
eajbcs-263	183	1	chaos	chaos	NOUN
eajbcs-263	183	2	,	,	PUNCT
eajbcs-263	183	3	solitons	soliton	NOUN
eajbcs-263	183	4	and	and	CCONJ
eajbcs-263	183	5	fractals	fractal	NOUN
eajbcs-263	183	6	140	140	NUM
eajbcs-263	183	7	:	:	SYM
eajbcs-263	183	8	110248	110248	NUM
eajbcs-263	183	9	.	.	PUNCT
eajbcs-263	184	1	link	link	NOUN
eajbcs-263	184	2	:	:	PUNCT
eajbcs-263	184	3	https://bit.ly/2mbs4xr	https://bit.ly/2mbs4xr	PROPN
eajbcs-263	184	4	domenico	domenico	PROPN
eajbcs-263	184	5	b.	b.	PROPN
eajbcs-263	184	6	,	,	PUNCT
eajbcs-263	184	7	marta	marta	PROPN
eajbcs-263	184	8	g.	g.	PROPN
eajbcs-263	184	9	,	,	PUNCT
eajbcs-263	184	10	lazzaro	lazzaro	PROPN
eajbcs-263	184	11	v.	v.	PROPN
eajbcs-263	184	12	,	,	PUNCT
eajbcs-263	184	13	silvia	silvia	PROPN
eajbcs-263	184	14	a.	a.	NOUN
eajbcs-263	184	15	,	,	PUNCT
eajbcs-263	184	16	and	and	CCONJ
eajbcs-263	184	17	,	,	PUNCT
eajbcs-263	184	18	massimo	massimo	PROPN
eajbcs-263	184	19	c.	c.	PROPN
eajbcs-263	184	20	2020	2020	NUM
eajbcs-263	184	21	.	.	PUNCT
eajbcs-263	185	1	application	application	NOUN
eajbcs-263	185	2	of	of	ADP
eajbcs-263	185	3	the	the	DET
eajbcs-263	185	4	arima	arima	PROPN
eajbcs-263	185	5	model	model	NOUN
eajbcs-263	185	6	on	on	ADP
eajbcs-263	185	7	the	the	DET
eajbcs-263	185	8	covid2019	covid2019	PROPN
eajbcs-263	185	9	epidemic	epidemic	NOUN
eajbcs-263	185	10	data	datum	NOUN
eajbcs-263	185	11	set	set	VERB
eajbcs-263	185	12	.	.	PUNCT
eajbcs-263	186	1	data	datum	NOUN
eajbcs-263	186	2	brief	brief	VERB
eajbcs-263	186	3	29	29	NUM
eajbcs-263	186	4	:	:	SYM
eajbcs-263	186	5	105340	105340	NUM
eajbcs-263	186	6	.	.	PUNCT
eajbcs-263	187	1	fanelli	fanelli	PROPN
eajbcs-263	187	2	d.	d.	PROPN
eajbcs-263	187	3	and	and	CCONJ
eajbcs-263	187	4	piazza	piazza	VERB
eajbcs-263	187	5	f.	f.	PROPN
eajbcs-263	187	6	2020	2020	NUM
eajbcs-263	187	7	.	.	PUNCT
eajbcs-263	188	1	analysis	analysis	NOUN
eajbcs-263	188	2	and	and	CCONJ
eajbcs-263	188	3	forecast	forecast	NOUN
eajbcs-263	188	4	of	of	ADP
eajbcs-263	188	5	covid-19	covid-19	PROPN
eajbcs-263	188	6	spreading	spread	VERB
eajbcs-263	188	7	in	in	ADP
eajbcs-263	188	8	china	china	PROPN
eajbcs-263	188	9	,	,	PUNCT
eajbcs-263	188	10	italy	italy	PROPN
eajbcs-263	188	11	and	and	CCONJ
eajbcs-263	188	12	france	france	PROPN
eajbcs-263	188	13	.	.	PUNCT
eajbcs-263	189	1	chaos	chaos	NOUN
eajbcs-263	189	2	,	,	PUNCT
eajbcs-263	189	3	solitons	soliton	NOUN
eajbcs-263	189	4	&	&	CCONJ
eajbcs-263	189	5	fractals	fractal	NOUN
eajbcs-263	189	6	,	,	PUNCT
eajbcs-263	189	7	134	134	NUM
eajbcs-263	189	8	,	,	PUNCT
eajbcs-263	189	9	1e12https://doi.org/10.1016/j.chaos.2020.109761	1e12https://doi.org/10.1016/j.chaos.2020.109761	NUM
eajbcs-263	189	10	fattorini	fattorini	X
eajbcs-263	189	11	d.	d.	NOUN
eajbcs-263	189	12	and	and	CCONJ
eajbcs-263	189	13	regoli	regoli	PROPN
eajbcs-263	189	14	f.	f.	PROPN
eajbcs-263	189	15	2020	2020	NUM
eajbcs-263	189	16	.	.	PUNCT
eajbcs-263	190	1	role	role	NOUN
eajbcs-263	190	2	of	of	ADP
eajbcs-263	190	3	the	the	DET
eajbcs-263	190	4	chronic	chronic	ADJ
eajbcs-263	190	5	air	air	NOUN
eajbcs-263	190	6	pollution	pollution	NOUN
eajbcs-263	190	7	levels	level	NOUN
eajbcs-263	190	8	in	in	ADP
eajbcs-263	190	9	the	the	DET
eajbcs-263	190	10	covid-19	covid-19	PROPN
eajbcs-263	190	11	outbreak	outbreak	NOUN
eajbcs-263	190	12	risk	risk	NOUN
eajbcs-263	190	13	in	in	ADP
eajbcs-263	190	14	italy	italy	PROPN
eajbcs-263	190	15	.	.	PUNCT
eajbcs-263	191	1	environ	environ	PROPN
eajbcs-263	191	2	pollu	pollu	PROPN
eajbcs-263	191	3	264	264	NUM
eajbcs-263	191	4	:	:	PUNCT
eajbcs-263	191	5	114732	114732	NUM
eajbcs-263	191	6	.	.	PUNCT
eajbcs-263	192	1	granger	granger	PROPN
eajbcs-263	192	2	k.	k.	PROPN
eajbcs-263	192	3	and	and	CCONJ
eajbcs-263	192	4	newbold	newbold	PROPN
eajbcs-263	192	5	j.	j.	PROPN
eajbcs-263	192	6	1986	1986	NUM
eajbcs-263	192	7	.	.	PUNCT
eajbcs-263	193	1	forecasting	forecast	VERB
eajbcs-263	193	2	economic	economic	ADJ
eajbcs-263	193	3	time	time	NOUN
eajbcs-263	193	4	series	series	PROPN
eajbcs-263	193	5	.	.	PUNCT
eajbcs-263	194	1	usa	usa	PROPN
eajbcs-263	194	2	:	:	PUNCT
eajbcs-263	194	3	academic	academic	ADJ
eajbcs-263	194	4	press	press	NOUN
eajbcs-263	194	5	.	.	PUNCT
eajbcs-263	195	1	grasselli	grasselli	PROPN
eajbcs-263	195	2	g.	g.	PROPN
eajbcs-263	195	3	,	,	PUNCT
eajbcs-263	195	4	pesenti	pesenti	ADJ
eajbcs-263	195	5	a.	a.	NOUN
eajbcs-263	195	6	and	and	CCONJ
eajbcs-263	195	7	cecconi	cecconi	PROPN
eajbcs-263	195	8	m.	m.	NOUN
eajbcs-263	195	9	2020	2020	NUM
eajbcs-263	195	10	.	.	PUNCT
eajbcs-263	196	1	critical	critical	ADJ
eajbcs-263	196	2	care	care	NOUN
eajbcs-263	196	3	utilization	utilization	NOUN
eajbcs-263	196	4	for	for	ADP
eajbcs-263	196	5	the	the	DET
eajbcs-263	196	6	covid-19	covid-19	PROPN
eajbcs-263	196	7	outbreak	outbreak	NOUN
eajbcs-263	196	8	in	in	ADP
eajbcs-263	196	9	lombardy	lombardy	PROPN
eajbcs-263	196	10	,	,	PUNCT
eajbcs-263	196	11	italy	italy	PROPN
eajbcs-263	196	12	:	:	PUNCT
eajbcs-263	196	13	early	early	ADJ
eajbcs-263	196	14	experience	experience	NOUN
eajbcs-263	196	15	and	and	CCONJ
eajbcs-263	196	16	forecast	forecast	NOUN
eajbcs-263	196	17	during	during	ADP
eajbcs-263	196	18	an	an	DET
eajbcs-263	196	19	emergency	emergency	NOUN
eajbcs-263	196	20	response	response	NOUN
eajbcs-263	196	21	.	.	PUNCT
eajbcs-263	197	1	j.	j.	PROPN
eajbcs-263	197	2	am	am	PROPN
eajbcs-263	197	3	.	.	PUNCT
eajbcs-263	198	1	med	med	PROPN
eajbcs-263	198	2	.	.	PUNCT
eajbcs-263	198	3	asso	asso	PROPN
eajbcs-263	198	4	.	.	PUNCT
eajbcs-263	199	1	323(16	323(16	NUM
eajbcs-263	199	2	):	):	PUNCT
eajbcs-263	199	3	1545	1545	NUM
eajbcs-263	199	4	-	-	SYM
eajbcs-263	199	5	1546	1546	NUM
eajbcs-263	199	6	.	.	PUNCT
eajbcs-263	200	1	gupta	gupta	PROPN
eajbcs-263	200	2	r	r	NOUN
eajbcs-263	200	3	and	and	CCONJ
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eajbcs-263	200	5	s.k	s.k	PROPN
eajbcs-263	200	6	..	..	PROPN
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eajbcs-263	200	8	.	.	PUNCT
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eajbcs-263	201	5	of	of	ADP
eajbcs-263	201	6	covid-19	covid-19	PROPN
eajbcs-263	201	7	outbreak	outbreak	NOUN
eajbcs-263	201	8	in	in	ADP
eajbcs-263	201	9	india	india	PROPN
eajbcs-263	201	10	.	.	PUNCT
eajbcs-263	202	1	medrxiv	medrxiv	PROPN
eajbcs-263	202	2	.	.	PUNCT
eajbcs-263	203	1	https://doi.org/10.1101/2020.03.26.2004451	https://doi.org/10.1101/2020.03.26.2004451	PROPN
eajbcs-263	203	2	.	.	PUNCT
eajbcs-263	204	1	holt	holt	PROPN
eajbcs-263	204	2	ce	ce	PROPN
eajbcs-263	204	3	.	.	PROPN
eajbcs-263	204	4	1957	1957	NUM
eajbcs-263	204	5	.	.	PUNCT
eajbcs-263	205	1	forecasting	forecast	VERB
eajbcs-263	205	2	seasonal	seasonal	ADJ
eajbcs-263	205	3	and	and	CCONJ
eajbcs-263	205	4	trends	trend	NOUN
eajbcs-263	205	5	by	by	ADP
eajbcs-263	205	6	exponentially	exponentially	ADV
eajbcs-263	205	7	weighted	weight	VERB
eajbcs-263	205	8	averages	average	NOUN
eajbcs-263	205	9	(	(	PUNCT
eajbcs-263	205	10	o.n.r	o.n.r	PROPN
eajbcs-263	205	11	.	.	PUNCT
eajbcs-263	206	1	https://bit.ly/2mbs4xr	https://bit.ly/2mbs4xr	PROPN
eajbcs-263	206	2	https://doi.org/10.1101/2020.03.26.2004451	https://doi.org/10.1101/2020.03.26.2004451	PROPN
eajbcs-263	206	3	east	east	PROPN
eajbcs-263	206	4	afr	afr	PROPN
eajbcs-263	206	5	.	.	PUNCT
eajbcs-263	207	1	j.biophys.comput	j.biophys.comput	PROPN
eajbcs-263	207	2	.	.	PUNCT
eajbcs-263	208	1	sci	sci	PROPN
eajbcs-263	208	2	.	.	PUNCT
eajbcs-263	209	1	(	(	PUNCT
eajbcs-263	209	2	2022	2022	NUM
eajbcs-263	209	3	)	)	PUNCT
eajbcs-263	209	4	,	,	PUNCT
eajbcs-263	209	5	vol	vol	NOUN
eajbcs-263	209	6	.	.	PROPN
eajbcs-263	210	1	3	3	NUM
eajbcs-263	210	2	,	,	PUNCT
eajbcs-263	210	3	no	no	INTJ
eajbcs-263	210	4	.	.	NOUN
eajbcs-263	210	5	1	1	NUM
eajbcs-263	210	6	,	,	PUNCT
eajbcs-263	210	7	58	58	NUM
eajbcs-263	210	8	-	-	SYM
eajbcs-263	210	9	68	68	NUM
eajbcs-263	210	10	68	68	NUM
eajbcs-263	210	11	memorandum	memorandum	NOUN
eajbcs-263	210	12	no	no	NOUN
eajbcs-263	210	13	.	.	PROPN
eajbcs-263	210	14	52	52	NUM
eajbcs-263	210	15	)	)	PUNCT
eajbcs-263	210	16	.	.	PUNCT
eajbcs-263	211	1	carnegie	carnegie	PROPN
eajbcs-263	211	2	institute	institute	PROPN
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eajbcs-263	211	5	,	,	PUNCT
eajbcs-263	211	6	pittsburgh	pittsburgh	PROPN
eajbcs-263	211	7	usa	usa	PROPN
eajbcs-263	211	8	.	.	PROPN
eajbcs-263	212	1	https://doi.org/10.1016/j.ijforecast	https://doi.org/10.1016/j.ijforecast	PROPN
eajbcs-263	212	2	.	.	PUNCT
eajbcs-263	213	1	huppert	huppert	PROPN
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eajbcs-263	214	7	disease	disease	NOUN
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eajbcs-263	214	9	.	.	PUNCT
eajbcs-263	215	1	clinmicrobiol	clinmicrobiol	NOUN
eajbcs-263	215	2	infect	infect	VERB
eajbcs-263	215	3	.	.	PUNCT
eajbcs-263	216	1	19(11):999	19(11):999	NUM
eajbcs-263	216	2	-	-	SYM
eajbcs-263	216	3	1005	1005	NUM
eajbcs-263	216	4	.	.	PUNCT
eajbcs-263	217	1	https://doi.org/10.1111/1469-0691.12308	https://doi.org/10.1111/1469-0691.12308	PROPN
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eajbcs-263	217	3	:	:	PUNCT
eajbcs-263	217	4	24266045	24266045	NUM
eajbcs-263	217	5	hyndman	hyndman	ADJ
eajbcs-263	217	6	r.j	r.j	PROPN
eajbcs-263	217	7	.	.	PROPN
eajbcs-263	217	8	,	,	PUNCT
eajbcs-263	217	9	koehler	koehler	PROPN
eajbcs-263	217	10	a.b	a.b	PROPN
eajbcs-263	217	11	.	.	PROPN
eajbcs-263	217	12	,	,	PUNCT
eajbcs-263	217	13	ord	ord	PROPN
eajbcs-263	217	14	j.k	j.k	PROPN
eajbcs-263	217	15	.	.	PROPN
eajbcs-263	217	16	,	,	PUNCT
eajbcs-263	217	17	and	and	CCONJ
eajbcs-263	217	18	snyder	snyder	PROPN
eajbcs-263	217	19	r.d	r.d	PROPN
eajbcs-263	217	20	.	.	PROPN
eajbcs-263	217	21	2008	2008	NUM
eajbcs-263	217	22	.	.	PUNCT
eajbcs-263	218	1	forecasting	forecast	VERB
eajbcs-263	218	2	with	with	ADP
eajbcs-263	218	3	exponential	exponential	ADJ
eajbcs-263	218	4	smoothing	smoothing	NOUN
eajbcs-263	218	5	:	:	PUNCT
eajbcs-263	218	6	the	the	DET
eajbcs-263	218	7	state	state	NOUN
eajbcs-263	218	8	space	space	NOUN
eajbcs-263	218	9	approach	approach	NOUN
eajbcs-263	218	10	.	.	PUNCT
eajbcs-263	219	1	berlin	berlin	PROPN
eajbcs-263	219	2	germany	germany	PROPN
eajbcs-263	219	3	:	:	PUNCT
eajbcs-263	219	4	springer	springer	NOUN
eajbcs-263	219	5	,	,	PUNCT
eajbcs-263	220	1	372	372	NUM
eajbcs-263	220	2	p.	p.	NOUN
eajbcs-263	220	3	khana	khana	PROPN
eajbcs-263	220	4	f.	f.	PROPN
eajbcs-263	220	5	and	and	CCONJ
eajbcs-263	220	6	gupta	gupta	PROPN
eajbcs-263	220	7	r.	r.	PROPN
eajbcs-263	220	8	2020	2020	NUM
eajbcs-263	220	9	.	.	PUNCT
eajbcs-263	221	1	arima	arima	NOUN
eajbcs-263	221	2	and	and	CCONJ
eajbcs-263	221	3	nar	nar	NOUN
eajbcs-263	221	4	based	base	VERB
eajbcs-263	221	5	prediction	prediction	NOUN
eajbcs-263	221	6	model	model	NOUN
eajbcs-263	221	7	for	for	ADP
eajbcs-263	221	8	time	time	NOUN
eajbcs-263	221	9	series	series	PROPN
eajbcs-263	221	10	analysis	analysis	NOUN
eajbcs-263	221	11	of	of	ADP
eajbcs-263	221	12	covid19	covid19	NOUN
eajbcs-263	221	13	cases	case	NOUN
eajbcs-263	221	14	in	in	ADP
eajbcs-263	221	15	india	india	PROPN
eajbcs-263	221	16	.	.	PUNCT
eajbcs-263	222	1	journal	journal	PROPN
eajbcs-263	222	2	of	of	ADP
eajbcs-263	222	3	safety	safety	NOUN
eajbcs-263	222	4	science	science	NOUN
eajbcs-263	222	5	and	and	CCONJ
eajbcs-263	222	6	resilience	resilience	NOUN
eajbcs-263	222	7	1	1	NUM
eajbcs-263	222	8	:	:	SYM
eajbcs-263	222	9	12	12	NUM
eajbcs-263	222	10	-	-	SYM
eajbcs-263	222	11	18	18	NUM
eajbcs-263	222	12	.	.	PUNCT
eajbcs-263	223	1	link	link	NOUN
eajbcs-263	223	2	:	:	PUNCT
eajbcs-263	223	3	https://bit.ly/3ot9ytc	https://bit.ly/3ot9ytc	PROPN
eajbcs-263	223	4	lehmann	lehmann	PROPN
eajbcs-263	223	5	a.	a.	PROPN
eajbcs-263	223	6	and	and	CCONJ
eajbcs-263	223	7	rode	ride	VERB
eajbcs-263	223	8	m.	m.	NOUN
eajbcs-263	223	9	2001	2001	NUM
eajbcs-263	223	10	.	.	PUNCT
eajbcs-263	224	1	long	long	ADJ
eajbcs-263	224	2	-	-	PUNCT
eajbcs-263	224	3	term	term	NOUN
eajbcs-263	224	4	behaviour	behaviour	NOUN
eajbcs-263	224	5	and	and	CCONJ
eajbcs-263	224	6	cross	cross	ADJ
eajbcs-263	224	7	-	-	ADJ
eajbcs-263	224	8	correlation	correlation	ADJ
eajbcs-263	224	9	water	water	NOUN
eajbcs-263	224	10	quality	quality	NOUN
eajbcs-263	224	11	analysis	analysis	NOUN
eajbcs-263	224	12	of	of	ADP
eajbcs-263	224	13	the	the	DET
eajbcs-263	224	14	river	river	PROPN
eajbcs-263	224	15	elbe	elbe	PROPN
eajbcs-263	224	16	,	,	PUNCT
eajbcs-263	224	17	germany	germany	PROPN
eajbcs-263	224	18	.	.	PUNCT
eajbcs-263	225	1	water	water	NOUN
eajbcs-263	225	2	res	re	NOUN
eajbcs-263	225	3	.	.	PUNCT
eajbcs-263	226	1	35	35	NUM
eajbcs-263	226	2	:	:	SYM
eajbcs-263	226	3	2153	2153	NUM
eajbcs-263	226	4	-	-	SYM
eajbcs-263	226	5	2160	2160	NUM
eajbcs-263	226	6	.	.	PUNCT
eajbcs-263	227	1	li	li	PROPN
eajbcs-263	227	2	q.	q.	PROPN
eajbcs-263	227	3	,	,	PUNCT
eajbcs-263	227	4	feng	feng	PROPN
eajbcs-263	227	5	w.	w.	PROPN
eajbcs-263	227	6	and	and	CCONJ
eajbcs-263	227	7	quan	quan	PROPN
eajbcs-263	227	8	y.	y.	PROPN
eajbcs-263	227	9	2020	2020	NUM
eajbcs-263	227	10	.	.	PUNCT
eajbcs-263	228	1	trend	trend	NOUN
eajbcs-263	228	2	and	and	CCONJ
eajbcs-263	228	3	forecasting	forecasting	NOUN
eajbcs-263	228	4	of	of	ADP
eajbcs-263	228	5	the	the	DET
eajbcs-263	228	6	covid-19	covid-19	PROPN
eajbcs-263	228	7	outbreak	outbreak	NOUN
eajbcs-263	228	8	in	in	ADP
eajbcs-263	228	9	china	china	PROPN
eajbcs-263	228	10	.	.	PUNCT
eajbcs-263	229	1	j	j	PROPN
eajbcs-263	229	2	infect	infect	VERB
eajbcs-263	229	3	80	80	NUM
eajbcs-263	229	4	(	(	PUNCT
eajbcs-263	229	5	4	4	NUM
eajbcs-263	229	6	):	):	PUNCT
eajbcs-263	229	7	469	469	NUM
eajbcs-263	229	8	-	-	NUM
eajbcs-263	229	9	496	496	NUM
eajbcs-263	229	10	.	.	PUNCT
eajbcs-263	230	1	https://doi.org/10.1016/j.jinf.2020.02.014	https://doi.org/10.1016/j.jinf.2020.02.014	NUM
eajbcs-263	230	2	papastefanopoulos	papastefanopoulo	NOUN
eajbcs-263	230	3	v.	v.	ADV
eajbcs-263	230	4	,	,	PUNCT
eajbcs-263	230	5	linardatos	linardatos	ADJ
eajbcs-263	230	6	p.	p.	NOUN
eajbcs-263	230	7	,	,	PUNCT
eajbcs-263	230	8	and	and	CCONJ
eajbcs-263	230	9	,	,	PUNCT
eajbcs-263	230	10	kotsiantis	kotsiantis	PROPN
eajbcs-263	230	11	s.	s.	PROPN
eajbcs-263	230	12	2020	2020	NUM
eajbcs-263	230	13	.	.	PUNCT
eajbcs-263	231	1	a	a	DET
eajbcs-263	231	2	comparison	comparison	NOUN
eajbcs-263	231	3	of	of	ADP
eajbcs-263	231	4	time	time	NOUN
eajbcs-263	231	5	series	series	PROPN
eajbcs-263	231	6	methods	method	NOUN
eajbcs-263	231	7	to	to	PART
eajbcs-263	231	8	forecast	forecast	VERB
eajbcs-263	231	9	percentage	percentage	NOUN
eajbcs-263	231	10	of	of	ADP
eajbcs-263	231	11	active	active	ADJ
eajbcs-263	231	12	cases	case	NOUN
eajbcs-263	231	13	per	per	ADP
eajbcs-263	231	14	population	population	NOUN
eajbcs-263	231	15	.	.	PUNCT
eajbcs-263	232	1	applied	apply	VERB
eajbcs-263	232	2	sciences	science	NOUN
eajbcs-263	232	3	10	10	NUM
eajbcs-263	232	4	:	:	SYM
eajbcs-263	232	5	3880	3880	NUM
eajbcs-263	232	6	.	.	PUNCT
eajbcs-263	233	1	link	link	NOUN
eajbcs-263	233	2	:	:	PUNCT
eajbcs-263	233	3	https://bit.ly/35bxkty	https://bit.ly/35bxkty	PROPN
eajbcs-263	233	4	shumway	shumway	PROPN
eajbcs-263	233	5	r.	r.	PROPN
eajbcs-263	233	6	and	and	CCONJ
eajbcs-263	233	7	stoffer	stoffer	PROPN
eajbcs-263	233	8	d.	d.	PROPN
eajbcs-263	233	9	2010	2010	NUM
eajbcs-263	233	10	.	.	PUNCT
eajbcs-263	234	1	time	time	NOUN
eajbcs-263	234	2	series	series	PROPN
eajbcs-263	234	3	analysis	analysis	NOUN
eajbcs-263	234	4	and	and	CCONJ
eajbcs-263	234	5	its	its	PRON
eajbcs-263	234	6	applications	application	NOUN
eajbcs-263	234	7	with	with	ADP
eajbcs-263	234	8	r	r	NOUN
eajbcs-263	234	9	examples	example	NOUN
eajbcs-263	234	10	(	(	PUNCT
eajbcs-263	234	11	3rd	3rd	ADJ
eajbcs-263	234	12	ed	ed	NOUN
eajbcs-263	234	13	.	.	PUNCT
eajbcs-263	234	14	)	)	PUNCT
eajbcs-263	234	15	.	.	PUNCT
eajbcs-263	235	1	springer	springer	PROPN
eajbcs-263	235	2	wei	wei	PROPN
eajbcs-263	235	3	w.	w.	PROPN
eajbcs-263	235	4	2006	2006	NUM
eajbcs-263	235	5	.	.	PUNCT
eajbcs-263	236	1	time	time	PROPN
eajbcs-263	236	2	series	series	PROPN
eajbcs-263	236	3	analysis	analysis	NOUN
eajbcs-263	236	4	univariate	univariate	ADJ
eajbcs-263	236	5	and	and	CCONJ
eajbcs-263	236	6	multivariate	multivariate	NOUN
eajbcs-263	236	7	(	(	PUNCT
eajbcs-263	236	8	p.	p.	NOUN
eajbcs-263	236	9	478	478	NUM
eajbcs-263	236	10	)	)	PUNCT
eajbcs-263	236	11	.	.	PUNCT
eajbcs-263	237	1	new	new	PROPN
eajbcs-263	237	2	york	york	PROPN
eajbcs-263	237	3	-	-	PUNCT
eajbcs-263	237	4	usa	usa	PROPN
eajbcs-263	237	5	:	:	PUNCT
eajbcs-263	237	6	addisonwesley	addisonwesley	ADJ
eajbcs-263	237	7	publishing	publishing	PROPN
eajbcs-263	237	8	company	company	PROPN
eajbcs-263	237	9	,	,	PUNCT
eajbcs-263	237	10	inc	inc	PROPN
eajbcs-263	237	11	.	.	PROPN
eajbcs-263	237	12	who	who	PRON
eajbcs-263	237	13	.	.	PUNCT
eajbcs-263	238	1	corona	corona	NOUN
eajbcs-263	238	2	virus	virus	PROPN
eajbcs-263	238	3	disease	disease	NOUN
eajbcs-263	238	4	2019	2019	NUM
eajbcs-263	238	5	(	(	PUNCT
eajbcs-263	238	6	covid-19	covid-19	PROPN
eajbcs-263	238	7	)	)	PUNCT
eajbcs-263	238	8	situation	situation	NOUN
eajbcs-263	238	9	reports	report	VERB
eajbcs-263	238	10	.	.	PUNCT
eajbcs-263	239	1	[	[	X
eajbcs-263	239	2	https://www.who.int/emergencies/	https://www.who.int/emergencies/	ADP
eajbcs-263	239	3	diseases	disease	NOUN
eajbcs-263	239	4	/	/	SYM
eajbcs-263	239	5	novel	novel	NOUN
eajbcs-263	239	6	-	-	PUNCT
eajbcs-263	239	7	coronavirus-2019	coronavirus-2019	VERB
eajbcs-263	239	8	/	/	SYM
eajbcs-263	239	9	situation	situation	NOUN
eajbcs-263	239	10	-	-	PUNCT
eajbcs-263	239	11	reports	report	NOUN
eajbcs-263	239	12	]	]	PUNCT
eajbcs-263	239	13	accessed	access	VERB
eajbcs-263	239	14	:	:	PUNCT
eajbcs-263	239	15	2020	2020	NUM
eajbcs-263	239	16	-	-	SYM
eajbcs-263	239	17	05	05	NUM
eajbcs-263	239	18	-	-	PUNCT
eajbcs-263	239	19	05	05	PROPN
eajbcs-263	239	20	.	.	PUNCT
eajbcs-263	240	1	world	world	PROPN
eajbcs-263	240	2	health	health	PROPN
eajbcs-263	240	3	organization	organization	NOUN
eajbcs-263	240	4	(	(	PUNCT
eajbcs-263	240	5	who	who	PRON
eajbcs-263	240	6	)	)	PUNCT
eajbcs-263	240	7	2020	2020	NUM
eajbcs-263	240	8	.	.	PUNCT
eajbcs-263	241	1	corona	corona	NOUN
eajbcs-263	241	2	virus	virus	NOUN
eajbcs-263	241	3	disease	disease	NOUN
eajbcs-263	241	4	(	(	PUNCT
eajbcs-263	241	5	covid-19	covid-19	PROPN
eajbcs-263	241	6	)	)	PUNCT
eajbcs-263	241	7	pandemic	pandemic	NOUN
eajbcs-263	241	8	,	,	PUNCT
eajbcs-263	241	9	who	who	PRON
eajbcs-263	241	10	https://worldometer.info/coronavirus.assesedon.jan	https://worldometer.info/coronavirus.assesedon.jan	VERB
eajbcs-263	241	11	28	28	NUM
eajbcs-263	241	12	,	,	PUNCT
eajbcs-263	241	13	2021	2021	NUM
eajbcs-263	241	14	.	.	PUNCT
eajbcs-263	242	1	09:09	09:09	NUM
eajbcs-263	242	2	worldometer	worldometer	NOUN
eajbcs-263	242	3	,	,	PUNCT
eajbcs-263	242	4	“	"	PUNCT
eajbcs-263	242	5	coronavirus	coronavirus	NOUN
eajbcs-263	242	6	cases	case	NOUN
eajbcs-263	242	7	,	,	PUNCT
eajbcs-263	242	8	”	"	PUNCT
eajbcs-263	242	9	worldo	worldo	NOUN
eajbcs-263	242	10	meter	meter	NOUN
eajbcs-263	242	11	,	,	PUNCT
eajbcs-263	242	12	pp	pp	ADJ
eajbcs-263	242	13	.	.	PUNCT
eajbcs-263	243	1	1	1	NUM
eajbcs-263	243	2	–	–	PUNCT
eajbcs-263	243	3	22	22	NUM
eajbcs-263	243	4	,	,	PUNCT
eajbcs-263	243	5	2020	2020	NUM
eajbcs-263	243	6	,	,	PUNCT
eajbcs-263	243	7	doi	doi	NOUN
eajbcs-263	243	8	:	:	PUNCT
eajbcs-263	243	9	1101/2020.01.23.20018549v2	1101/2020.01.23.20018549v2	NUM
eajbcs-263	243	10	.	.	PUNCT
eajbcs-263	244	1	assessed	assess	VERB
eajbcs-263	244	2	on	on	ADP
eajbcs-263	244	3	jan	jan	PROPN
eajbcs-263	244	4	28	28	NUM
eajbcs-263	244	5	,	,	PUNCT
eajbcs-263	244	6	2021	2021	NUM
eajbcs-263	244	7	.	.	PUNCT
eajbcs-263	245	1	09:09	09:09	NUM
eajbcs-263	245	2	gmt	gmt	PROPN
eajbcs-263	245	3	yichi	yichi	PROPN
eajbcs-263	245	4	l.	l.	PROPN
eajbcs-263	245	5	,	,	PUNCT
eajbcs-263	245	6	bowen	bowen	PROPN
eajbcs-263	245	7	w.	w.	PROPN
eajbcs-263	245	8	,	,	PUNCT
eajbcs-263	245	9	ruiyang	ruiyang	PROPN
eajbcs-263	245	10	p.	p.	PROPN
eajbcs-263	245	11	,	,	PUNCT
eajbcs-263	245	12	chen	chen	PROPN
eajbcs-263	245	13	z.	z.	PROPN
eajbcs-263	245	14	,	,	PUNCT
eajbcs-263	245	15	yonglong	yonglong	PROPN
eajbcs-263	245	16	z.	z.	PROPN
eajbcs-263	245	17	,	,	PUNCT
eajbcs-263	245	18	zhuoxun	zhuoxun	PROPN
eajbcs-263	245	19	l	l	PROPN
eajbcs-263	245	20	,	,	PUNCT
eajbcs-263	245	21	xia	xia	PROPN
eajbcs-263	245	22	j.	j.	PROPN
eajbcs-263	245	23	and	and	CCONJ
eajbcs-263	245	24	,	,	PUNCT
eajbcs-263	245	25	bin	bin	PROPN
eajbcs-263	245	26	z.	z.	PROPN
eajbcs-263	245	27	2020	2020	NUM
eajbcs-263	245	28	.	.	PUNCT
eajbcs-263	246	1	mathematical	mathematical	ADJ
eajbcs-263	246	2	modelling	modelling	NOUN
eajbcs-263	246	3	and	and	CCONJ
eajbcs-263	246	4	epidemic	epidemic	NOUN
eajbcs-263	246	5	prediction	prediction	NOUN
eajbcs-263	246	6	of	of	ADP
eajbcs-263	246	7	covid-19	covid-19	PROPN
eajbcs-263	246	8	and	and	CCONJ
eajbcs-263	246	9	its	its	PRON
eajbcs-263	246	10	significance	significance	NOUN
eajbcs-263	246	11	to	to	ADP
eajbcs-263	246	12	epidemic	epidemic	NOUN
eajbcs-263	246	13	prevention	prevention	NOUN
eajbcs-263	246	14	and	and	CCONJ
eajbcs-263	246	15	control	control	NOUN
eajbcs-263	246	16	measures	measure	NOUN
eajbcs-263	246	17	.	.	PUNCT
eajbcs-263	247	1	annals	annal	NOUN
eajbcs-263	247	2	of	of	ADP
eajbcs-263	247	3	infectious	infectious	ADJ
eajbcs-263	247	4	disease	disease	NOUN
eajbcs-263	247	5	and	and	CCONJ
eajbcs-263	247	6	epidemiology	epidemiology	NOUN
eajbcs-263	247	7	5	5	NUM
eajbcs-263	247	8	(	(	PUNCT
eajbcs-263	247	9	1	1	NUM
eajbcs-263	247	10	):	):	SYM
eajbcs-263	247	11	1052	1052	NUM
eajbcs-263	247	12	.	.	PUNCT
eajbcs-263	248	1	yonar	yonar	PROPN
eajbcs-263	248	2	h.	h.	PROPN
eajbcs-263	248	3	,	,	PUNCT
eajbcs-263	248	4	yonar	yonar	VERB
eajbcs-263	248	5	a	a	PRON
eajbcs-263	248	6	,	,	PUNCT
eajbcs-263	248	7	tekindal	tekindal	NOUN
eajbcs-263	248	8	m.a	m.a	PROPN
eajbcs-263	248	9	and	and	CCONJ
eajbcs-263	248	10	,	,	PUNCT
eajbcs-263	248	11	tekindal	tekindal	ADJ
eajbcs-263	248	12	m.	m.	NOUN
eajbcs-263	248	13	2020	2020	NUM
eajbcs-263	248	14	.	.	PUNCT
eajbcs-263	249	1	modelling	modelling	NOUN
eajbcs-263	249	2	and	and	CCONJ
eajbcs-263	249	3	forecasting	forecasting	NOUN
eajbcs-263	249	4	for	for	ADP
eajbcs-263	249	5	thenumber	thenumber	NOUN
eajbcs-263	249	6	of	of	ADP
eajbcs-263	249	7	cases	case	NOUN
eajbcs-263	249	8	of	of	ADP
eajbcs-263	249	9	the	the	DET
eajbcs-263	249	10	covid-19	covid-19	PROPN
eajbcs-263	249	11	pandemic	pandemic	NOUN
eajbcs-263	249	12	with	with	ADP
eajbcs-263	249	13	the	the	DET
eajbcs-263	249	14	curve	curve	NOUN
eajbcs-263	249	15	estimation	estimation	NOUN
eajbcs-263	249	16	models	model	NOUN
eajbcs-263	249	17	,	,	PUNCT
eajbcs-263	249	18	the	the	DET
eajbcs-263	249	19	box	box	NOUN
eajbcs-263	249	20	-	-	PUNCT
eajbcs-263	249	21	jenkins	jenkin	NOUN
eajbcs-263	249	22	and	and	CCONJ
eajbcs-263	249	23	exponential	exponential	ADJ
eajbcs-263	249	24	smoothing	smoothing	NOUN
eajbcs-263	249	25	methods	method	NOUN
eajbcs-263	249	26	.	.	PUNCT
eajbcs-263	250	1	eurasian	eurasian	PROPN
eajbcs-263	250	2	j.	j.	PROPN
eajbcs-263	250	3	med	med	PROPN
eajbcs-263	250	4	.	.	PROPN
eajbcs-263	251	1	oncol	oncol	ADJ
eajbcs-263	251	2	.	.	PUNCT
eajbcs-263	252	1	4(2):160–165	4(2):160–165	NUM
eajbcs-263	252	2	.	.	PUNCT
eajbcs-263	253	1	zhan	zhan	PROPN
eajbcs-263	253	2	c.	c.	PROPN
eajbcs-263	253	3	,	,	PUNCT
eajbcs-263	253	4	chi	chi	PROPN
eajbcs-263	253	5	k.	k.	PROPN
eajbcs-263	253	6	,	,	PUNCT
eajbcs-263	253	7	lai	lai	PROPN
eajbcs-263	253	8	z.	z.	PROPN
eajbcs-263	253	9	,	,	PUNCT
eajbcs-263	253	10	hao	hao	PROPN
eajbcs-263	253	11	t.	t.	PROPN
eajbcs-263	253	12	,	,	PUNCT
eajbcs-263	253	13	and	and	CCONJ
eajbcs-263	253	14	,	,	PUNCT
eajbcs-263	253	15	su	su	PROPN
eajbcs-263	253	16	j.	j.	PROPN
eajbcs-263	253	17	2020	2020	PROPN
eajbcs-263	253	18	.	.	PUNCT
eajbcs-263	254	1	prediction	prediction	NOUN
eajbcs-263	254	2	of	of	ADP
eajbcs-263	254	3	covid-19	covid-19	PROPN
eajbcs-263	254	4	spreading	spread	VERB
eajbcs-263	254	5	profiles	profile	NOUN
eajbcs-263	254	6	in	in	ADP
eajbcs-263	254	7	south	south	PROPN
eajbcs-263	254	8	korea	korea	PROPN
eajbcs-263	254	9	,	,	PUNCT
eajbcs-263	254	10	italy	italy	PROPN
eajbcs-263	254	11	and	and	CCONJ
eajbcs-263	254	12	iran	iran	PROPN
eajbcs-263	254	13	by	by	ADP
eajbcs-263	254	14	data	datum	NOUN
eajbcs-263	254	15	-	-	PUNCT
eajbcs-263	254	16	driven	drive	VERB
eajbcs-263	254	17	coding	coding	NOUN
eajbcs-263	254	18	.	.	PUNCT
eajbcs-263	255	1	medrxiv	medrxiv	X
eajbcs-263	255	2	..	..	PUNCT
eajbcs-263	256	1	https://doi.org/10.1016/j.ijforecast.%202003.09.015	https://doi.org/10.1016/j.ijforecast.%202003.09.015	PROPN
eajbcs-263	256	2	https://bit.ly/3ot9ytc	https://bit.ly/3ot9ytc	PROPN
eajbcs-263	256	3	https://doi.org/10.1016/j.jinf.2020.02.014	https://doi.org/10.1016/j.jinf.2020.02.014	NUM
eajbcs-263	256	4	https://bit.ly/35bxkty	https://bit.ly/35bxkty	NOUN
eajbcs-263	256	5	https://worldometer.info/coronavirus.%20assesed%20on.jan	https://worldometer.info/coronavirus.%20assesed%20on.jan	NUM