id	sid	tid	token	lemma	pos
sc-3023	1	1	performance	performance	NOUN
sc-3023	1	2	evaluation	evaluation	NOUN
sc-3023	1	3	of	of	ADP
sc-3023	1	4	arima	arima	PROPN
sc-3023	1	5	and	and	CCONJ
sc-3023	1	6	fb	fb	ADJ
sc-3023	1	7	-	-	PUNCT
sc-3023	1	8	prophet	prophet	NOUN
sc-3023	1	9	forecasting	forecasting	NOUN
sc-3023	1	10	methods	method	NOUN
sc-3023	1	11	in	in	ADP
sc-3023	1	12	the	the	DET
sc-3023	1	13	context	context	NOUN
sc-3023	1	14	of	of	ADP
sc-3023	1	15	endemic	endemic	ADJ
sc-3023	1	16	diseases	disease	NOUN
sc-3023	1	17	:	:	PUNCT
sc-3023	1	18	a	a	DET
sc-3023	1	19	case	case	NOUN
sc-3023	1	20	study	study	NOUN
sc-3023	1	21	of	of	ADP
sc-3023	1	22	gedaref	gedaref	NOUN
sc-3023	1	23	state	state	NOUN
sc-3023	1	24	in	in	ADP
sc-3023	1	25	sudan	sudan	PROPN
sc-3023	1	26	1	1	NUM
sc-3023	1	27	performance	performance	NOUN
sc-3023	1	28	evaluation	evaluation	NOUN
sc-3023	1	29	of	of	ADP
sc-3023	1	30	arima	arima	PROPN
sc-3023	1	31	and	and	CCONJ
sc-3023	1	32	fb	fb	ADJ
sc-3023	1	33	-	-	PUNCT
sc-3023	1	34	prophet	prophet	NOUN
sc-3023	1	35	forecasting	forecasting	NOUN
sc-3023	1	36	methods	method	NOUN
sc-3023	1	37	in	in	ADP
sc-3023	1	38	the	the	DET
sc-3023	1	39	context	context	NOUN
sc-3023	1	40	of	of	ADP
sc-3023	1	41	endemic	endemic	ADJ
sc-3023	1	42	diseases	disease	NOUN
sc-3023	1	43	:	:	PUNCT
sc-3023	1	44	a	a	DET
sc-3023	1	45	case	case	NOUN
sc-3023	1	46	study	study	NOUN
sc-3023	1	47	of	of	ADP
sc-3023	1	48	gedaref	gedaref	NOUN
sc-3023	1	49	state	state	NOUN
sc-3023	1	50	in	in	ADP
sc-3023	1	51	sudan	sudan	PROPN
sc-3023	1	52	hussein	hussein	PROPN
sc-3023	1	53	ali	ali	PROPN
sc-3023	1	54	hussein1	hussein1	PROPN
sc-3023	1	55	,	,	PUNCT
sc-3023	1	56	mukhtar	mukhtar	PROPN
sc-3023	1	57	m.	m.	PROPN
sc-3023	1	58	e.	e.	PROPN
sc-3023	1	59	mahmoud2	mahmoud2	PROPN
sc-3023	1	60	,	,	PUNCT
sc-3023	1	61	*	*	PUNCT
sc-3023	1	62	and	and	CCONJ
sc-3023	1	63	haroun	haroun	PROPN
sc-3023	2	1	a.	a.	NOUN
sc-3023	2	2	eisa3	eisa3	PROPN
sc-3023	3	1	1department	1department	NUM
sc-3023	3	2	of	of	ADP
sc-3023	3	3	information	information	NOUN
sc-3023	3	4	technology	technology	NOUN
sc-3023	3	5	,	,	PUNCT
sc-3023	3	6	university	university	NOUN
sc-3023	3	7	of	of	ADP
sc-3023	3	8	gedaref	gedaref	NOUN
sc-3023	3	9	,	,	PUNCT
sc-3023	3	10	gedaref	gedaref	NOUN
sc-3023	3	11	,	,	PUNCT
sc-3023	3	12	sudan	sudan	PROPN
sc-3023	3	13	2faculty	2faculty	NUM
sc-3023	3	14	of	of	ADP
sc-3023	3	15	computer	computer	NOUN
sc-3023	3	16	science	science	NOUN
sc-3023	3	17	and	and	CCONJ
sc-3023	3	18	information	information	NOUN
sc-3023	3	19	technology	technology	NOUN
sc-3023	3	20	,	,	PUNCT
sc-3023	3	21	university	university	NOUN
sc-3023	3	22	of	of	ADP
sc-3023	3	23	kassala	kassala	PROPN
sc-3023	3	24	,	,	PUNCT
sc-3023	3	25	kassala	kassala	PROPN
sc-3023	3	26	,	,	PUNCT
sc-3023	3	27	sudan	sudan	PROPN
sc-3023	3	28	3department	3department	NUM
sc-3023	3	29	of	of	ADP
sc-3023	3	30	computer	computer	NOUN
sc-3023	3	31	science	science	NOUN
sc-3023	3	32	,	,	PUNCT
sc-3023	3	33	alsharg	alsharg	NOUN
sc-3023	3	34	ahlia	ahlia	PROPN
sc-3023	3	35	college	college	PROPN
sc-3023	3	36	,	,	PUNCT
sc-3023	3	37	kassala	kassala	PROPN
sc-3023	3	38	,	,	PUNCT
sc-3023	3	39	sudan	sudan	PROPN
sc-3023	3	40	abstract	abstract	PROPN
sc-3023	3	41	today	today	NOUN
sc-3023	3	42	,	,	PUNCT
sc-3023	3	43	artificial	artificial	ADJ
sc-3023	3	44	intelligence	intelligence	NOUN
sc-3023	3	45	is	be	AUX
sc-3023	3	46	a	a	DET
sc-3023	3	47	key	key	ADJ
sc-3023	3	48	tool	tool	NOUN
sc-3023	3	49	for	for	ADP
sc-3023	3	50	turning	turn	VERB
sc-3023	3	51	a	a	DET
sc-3023	3	52	city	city	NOUN
sc-3023	3	53	into	into	ADP
sc-3023	3	54	a	a	DET
sc-3023	3	55	smart	smart	ADJ
sc-3023	3	56	city	city	NOUN
sc-3023	3	57	,	,	PUNCT
sc-3023	3	58	and	and	CCONJ
sc-3023	3	59	advances	advance	NOUN
sc-3023	3	60	in	in	ADP
sc-3023	3	61	information	information	NOUN
sc-3023	3	62	and	and	CCONJ
sc-3023	3	63	communication	communication	NOUN
sc-3023	3	64	technology	technology	NOUN
sc-3023	3	65	(	(	PUNCT
sc-3023	3	66	ict	ict	PROPN
sc-3023	3	67	)	)	PUNCT
sc-3023	3	68	have	have	AUX
sc-3023	3	69	led	lead	VERB
sc-3023	3	70	to	to	ADP
sc-3023	3	71	the	the	DET
sc-3023	3	72	development	development	NOUN
sc-3023	3	73	of	of	ADP
sc-3023	3	74	smart	smart	ADJ
sc-3023	3	75	cities	city	NOUN
sc-3023	3	76	with	with	ADP
sc-3023	3	77	many	many	ADJ
sc-3023	3	78	different	different	ADJ
sc-3023	3	79	parts	part	NOUN
sc-3023	3	80	.	.	PUNCT
sc-3023	4	1	smart	smart	ADJ
sc-3023	4	2	health	health	NOUN
sc-3023	4	3	is	be	AUX
sc-3023	4	4	one	one	NUM
sc-3023	4	5	of	of	ADP
sc-3023	4	6	these	these	DET
sc-3023	4	7	components	component	NOUN
sc-3023	4	8	and	and	CCONJ
sc-3023	4	9	is	be	AUX
sc-3023	4	10	used	use	VERB
sc-3023	4	11	to	to	PART
sc-3023	4	12	improve	improve	VERB
sc-3023	4	13	healthcare	healthcare	NOUN
sc-3023	4	14	by	by	ADP
sc-3023	4	15	providing	provide	VERB
sc-3023	4	16	services	service	NOUN
sc-3023	4	17	such	such	ADJ
sc-3023	4	18	as	as	ADP
sc-3023	4	19	disease	disease	NOUN
sc-3023	4	20	forecasting	forecasting	NOUN
sc-3023	4	21	,	,	PUNCT
sc-3023	4	22	early	early	ADJ
sc-3023	4	23	diagnosis	diagnosis	NOUN
sc-3023	4	24	,	,	PUNCT
sc-3023	4	25	and	and	CCONJ
sc-3023	4	26	others	other	NOUN
sc-3023	4	27	.	.	PUNCT
sc-3023	5	1	there	there	PRON
sc-3023	5	2	are	be	VERB
sc-3023	5	3	various	various	ADJ
sc-3023	5	4	machine	machine	NOUN
sc-3023	5	5	learning	learn	VERB
sc-3023	5	6	algorithms	algorithm	NOUN
sc-3023	5	7	available	available	ADJ
sc-3023	5	8	now	now	ADV
sc-3023	5	9	that	that	PRON
sc-3023	5	10	can	can	AUX
sc-3023	5	11	help	help	VERB
sc-3023	5	12	with	with	ADP
sc-3023	5	13	s	s	NOUN
sc-3023	5	14	-	-	PUNCT
sc-3023	5	15	health	health	NOUN
sc-3023	5	16	services	service	NOUN
sc-3023	5	17	,	,	PUNCT
sc-3023	5	18	but	but	CCONJ
sc-3023	5	19	which	which	PRON
sc-3023	5	20	is	be	AUX
sc-3023	5	21	better	well	ADJ
sc-3023	5	22	for	for	ADP
sc-3023	5	23	disease	disease	NOUN
sc-3023	5	24	forecasting	forecasting	NOUN
sc-3023	5	25	?	?	PUNCT
sc-3023	6	1	gedaref	gedaref	NOUN
sc-3023	6	2	state	state	NOUN
sc-3023	6	3	,	,	PUNCT
sc-3023	6	4	for	for	ADP
sc-3023	6	5	example	example	NOUN
sc-3023	6	6	,	,	PUNCT
sc-3023	6	7	has	have	VERB
sc-3023	6	8	some	some	PRON
sc-3023	6	9	of	of	ADP
sc-3023	6	10	sudan	sudan	PROPN
sc-3023	6	11	's	's	PART
sc-3023	6	12	heaviest	heavy	ADJ
sc-3023	6	13	rains	rain	NOUN
sc-3023	6	14	,	,	PUNCT
sc-3023	6	15	and	and	CCONJ
sc-3023	6	16	malaria	malaria	NOUN
sc-3023	6	17	and	and	CCONJ
sc-3023	6	18	pneumonia	pneumonia	NOUN
sc-3023	6	19	are	be	AUX
sc-3023	6	20	widespread	widespread	ADJ
sc-3023	6	21	throughout	throughout	ADP
sc-3023	6	22	the	the	DET
sc-3023	6	23	year	year	NOUN
sc-3023	6	24	.	.	PUNCT
sc-3023	7	1	predicting	predict	VERB
sc-3023	7	2	future	future	ADJ
sc-3023	7	3	trends	trend	NOUN
sc-3023	7	4	for	for	ADP
sc-3023	7	5	these	these	DET
sc-3023	7	6	diseases	disease	NOUN
sc-3023	7	7	has	have	AUX
sc-3023	7	8	been	be	AUX
sc-3023	7	9	a	a	DET
sc-3023	7	10	major	major	ADJ
sc-3023	7	11	focus	focus	NOUN
sc-3023	7	12	for	for	ADP
sc-3023	7	13	researchers	researcher	NOUN
sc-3023	7	14	in	in	ADP
sc-3023	7	15	order	order	NOUN
sc-3023	7	16	for	for	SCONJ
sc-3023	7	17	gedaref	gedaref	NOUN
sc-3023	7	18	's	's	PART
sc-3023	7	19	administration	administration	NOUN
sc-3023	7	20	and	and	CCONJ
sc-3023	7	21	the	the	DET
sc-3023	7	22	state	state	NOUN
sc-3023	7	23	's	's	PART
sc-3023	7	24	ministry	ministry	PROPN
sc-3023	7	25	of	of	ADP
sc-3023	7	26	health	health	PROPN
sc-3023	7	27	to	to	PART
sc-3023	7	28	design	design	VERB
sc-3023	7	29	effective	effective	ADJ
sc-3023	7	30	ways	way	NOUN
sc-3023	7	31	to	to	PART
sc-3023	7	32	prevent	prevent	VERB
sc-3023	7	33	and	and	CCONJ
sc-3023	7	34	control	control	VERB
sc-3023	7	35	the	the	DET
sc-3023	7	36	development	development	NOUN
sc-3023	7	37	of	of	ADP
sc-3023	7	38	these	these	DET
sc-3023	7	39	diseases	disease	NOUN
sc-3023	7	40	,	,	PUNCT
sc-3023	7	41	as	as	ADV
sc-3023	7	42	well	well	ADV
sc-3023	7	43	as	as	ADP
sc-3023	7	44	to	to	PART
sc-3023	7	45	prepare	prepare	VERB
sc-3023	7	46	an	an	DET
sc-3023	7	47	adequate	adequate	ADJ
sc-3023	7	48	stock	stock	NOUN
sc-3023	7	49	of	of	ADP
sc-3023	7	50	medicine	medicine	NOUN
sc-3023	7	51	.	.	PUNCT
sc-3023	8	1	as	as	ADP
sc-3023	8	2	a	a	DET
sc-3023	8	3	result	result	NOUN
sc-3023	8	4	,	,	PUNCT
sc-3023	8	5	it	it	PRON
sc-3023	8	6	is	be	AUX
sc-3023	8	7	necessary	necessary	ADJ
sc-3023	8	8	to	to	PART
sc-3023	8	9	establish	establish	VERB
sc-3023	8	10	a	a	DET
sc-3023	8	11	trustworthy	trustworthy	ADJ
sc-3023	8	12	and	and	CCONJ
sc-3023	8	13	accurate	accurate	ADJ
sc-3023	8	14	forecasting	forecasting	NOUN
sc-3023	8	15	model	model	NOUN
sc-3023	8	16	to	to	PART
sc-3023	8	17	aid	aid	VERB
sc-3023	8	18	gedaref	gedaref	NOUN
sc-3023	8	19	's	's	PART
sc-3023	8	20	government	government	NOUN
sc-3023	8	21	in	in	ADP
sc-3023	8	22	developing	develop	VERB
sc-3023	8	23	economic	economic	ADJ
sc-3023	8	24	and	and	CCONJ
sc-3023	8	25	medical	medical	ADJ
sc-3023	8	26	strategies	strategy	NOUN
sc-3023	8	27	for	for	ADP
sc-3023	8	28	dealing	deal	VERB
sc-3023	8	29	with	with	ADP
sc-3023	8	30	these	these	DET
sc-3023	8	31	diseases	disease	NOUN
sc-3023	8	32	,	,	PUNCT
sc-3023	8	33	as	as	ADV
sc-3023	8	34	well	well	ADV
sc-3023	8	35	as	as	ADP
sc-3023	8	36	taking	take	VERB
sc-3023	8	37	action	action	NOUN
sc-3023	8	38	on	on	ADP
sc-3023	8	39	medical	medical	ADJ
sc-3023	8	40	resource	resource	NOUN
sc-3023	8	41	allocation	allocation	NOUN
sc-3023	8	42	.	.	PUNCT
sc-3023	9	1	this	this	DET
sc-3023	9	2	study	study	NOUN
sc-3023	9	3	uses	use	VERB
sc-3023	9	4	a	a	DET
sc-3023	9	5	time	time	NOUN
sc-3023	9	6	series	series	NOUN
sc-3023	9	7	dataset	dataset	VERB
sc-3023	9	8	collected	collect	VERB
sc-3023	9	9	from	from	ADP
sc-3023	9	10	the	the	DET
sc-3023	9	11	state	state	NOUN
sc-3023	9	12	's	's	PART
sc-3023	9	13	ministry	ministry	PROPN
sc-3023	9	14	of	of	ADP
sc-3023	9	15	health	health	PROPN
sc-3023	9	16	to	to	PART
sc-3023	9	17	estimate	estimate	VERB
sc-3023	9	18	malaria	malaria	NOUN
sc-3023	9	19	and	and	CCONJ
sc-3023	9	20	pneumonia	pneumonia	NOUN
sc-3023	9	21	as	as	ADP
sc-3023	9	22	common	common	ADJ
sc-3023	9	23	diseases	disease	NOUN
sc-3023	9	24	in	in	ADP
sc-3023	9	25	gedaref	gedaref	NOUN
sc-3023	9	26	state	state	NOUN
sc-3023	9	27	,	,	PUNCT
sc-3023	9	28	sudan	sudan	PROPN
sc-3023	9	29	,	,	PUNCT
sc-3023	9	30	five	five	NUM
sc-3023	9	31	months	month	NOUN
sc-3023	9	32	later	later	ADV
sc-3023	9	33	.	.	PUNCT
sc-3023	10	1	to	to	PART
sc-3023	10	2	comprehend	comprehend	VERB
sc-3023	10	3	the	the	DET
sc-3023	10	4	overall	overall	ADJ
sc-3023	10	5	number	number	NOUN
sc-3023	10	6	of	of	ADP
sc-3023	10	7	cases	case	NOUN
sc-3023	10	8	of	of	ADP
sc-3023	10	9	diseases	disease	NOUN
sc-3023	10	10	,	,	PUNCT
sc-3023	10	11	two	two	NUM
sc-3023	10	12	forecasting	forecasting	NOUN
sc-3023	10	13	methodologies	methodology	NOUN
sc-3023	10	14	,	,	PUNCT
sc-3023	10	15	namely	namely	ADV
sc-3023	10	16	the	the	DET
sc-3023	10	17	arima	arima	NOUN
sc-3023	10	18	and	and	CCONJ
sc-3023	10	19	prophet	prophet	NOUN
sc-3023	10	20	models	model	NOUN
sc-3023	10	21	,	,	PUNCT
sc-3023	10	22	are	be	AUX
sc-3023	10	23	applied	apply	VERB
sc-3023	10	24	to	to	ADP
sc-3023	10	25	the	the	DET
sc-3023	10	26	disease	disease	NOUN
sc-3023	10	27	's	's	PART
sc-3023	10	28	dataset	dataset	NOUN
sc-3023	10	29	.	.	PUNCT
sc-3023	11	1	the	the	DET
sc-3023	11	2	performance	performance	NOUN
sc-3023	11	3	of	of	ADP
sc-3023	11	4	the	the	DET
sc-3023	11	5	arima	arima	NOUN
sc-3023	11	6	and	and	CCONJ
sc-3023	11	7	fb	fb	ADJ
sc-3023	11	8	-	-	PUNCT
sc-3023	11	9	prophet	prophet	NOUN
sc-3023	11	10	forecasting	forecasting	NOUN
sc-3023	11	11	systems	system	NOUN
sc-3023	11	12	in	in	ADP
sc-3023	11	13	predicting	predict	VERB
sc-3023	11	14	malaria	malaria	NOUN
sc-3023	11	15	and	and	CCONJ
sc-3023	11	16	pneumonia	pneumonia	NOUN
sc-3023	11	17	diseases	disease	NOUN
sc-3023	11	18	in	in	ADP
sc-3023	11	19	gedaref	gedaref	NOUN
sc-3023	11	20	state	state	NOUN
sc-3023	11	21	is	be	AUX
sc-3023	11	22	compared	compare	VERB
sc-3023	11	23	in	in	ADP
sc-3023	11	24	this	this	DET
sc-3023	11	25	study	study	NOUN
sc-3023	11	26	.	.	PUNCT
sc-3023	12	1	the	the	DET
sc-3023	12	2	data	datum	NOUN
sc-3023	12	3	was	be	AUX
sc-3023	12	4	collected	collect	VERB
sc-3023	12	5	from	from	ADP
sc-3023	12	6	the	the	DET
sc-3023	12	7	state	state	NOUN
sc-3023	12	8	's	's	PART
sc-3023	12	9	ministry	ministry	PROPN
sc-3023	12	10	of	of	ADP
sc-3023	12	11	health	health	PROPN
sc-3023	12	12	between	between	ADP
sc-3023	12	13	january	january	PROPN
sc-3023	12	14	2017	2017	NUM
sc-3023	12	15	and	and	CCONJ
sc-3023	12	16	december	december	PROPN
sc-3023	12	17	2021	2021	NUM
sc-3023	12	18	.	.	PUNCT
sc-3023	13	1	the	the	DET
sc-3023	13	2	results	result	NOUN
sc-3023	13	3	reveal	reveal	VERB
sc-3023	13	4	that	that	SCONJ
sc-3023	13	5	the	the	DET
sc-3023	13	6	arima	arima	NOUN
sc-3023	13	7	technique	technique	NOUN
sc-3023	13	8	outperforms	outperform	VERB
sc-3023	13	9	the	the	DET
sc-3023	13	10	fb	fb	ADJ
sc-3023	13	11	-	-	PUNCT
sc-3023	13	12	prophet	prophet	NOUN
sc-3023	13	13	forecasting	forecasting	NOUN
sc-3023	13	14	method	method	NOUN
sc-3023	13	15	in	in	ADP
sc-3023	13	16	both	both	DET
sc-3023	13	17	malaria	malaria	NOUN
sc-3023	13	18	(	(	PUNCT
sc-3023	13	19	rmse	rmse	NOUN
sc-3023	13	20	:	:	PUNCT
sc-3023	14	1	182.8	182.8	NUM
sc-3023	14	2	,	,	PUNCT
sc-3023	14	3	mae	mae	PROPN
sc-3023	14	4	:	:	PUNCT
sc-3023	14	5	141.6	141.6	NUM
sc-3023	14	6	,	,	PUNCT
sc-3023	14	7	mape	mape	NOUN
sc-3023	14	8	:	:	PUNCT
sc-3023	14	9	0.0057	0.0057	NUM
sc-3023	14	10	,	,	PUNCT
sc-3023	14	11	and	and	CCONJ
sc-3023	14	12	mase	mase	PROPN
sc-3023	14	13	:	:	PUNCT
sc-3023	14	14	0.0537	0.0537	NUM
sc-3023	14	15	)	)	PUNCT
sc-3023	14	16	and	and	CCONJ
sc-3023	14	17	pneumonia	pneumonia	NOUN
sc-3023	14	18	(	(	PUNCT
sc-3023	14	19	rmse	rmse	PROPN
sc-3023	14	20	:	:	PUNCT
sc-3023	14	21	1400.3	1400.3	NUM
sc-3023	14	22	,	,	PUNCT
sc-3023	14	23	mae	mae	PROPN
sc-3023	14	24	:	:	PUNCT
sc-3023	14	25	1001.4	1001.4	NUM
sc-3023	14	26	,	,	PUNCT
sc-3023	14	27	mape	mape	NOUN
sc-3023	14	28	:	:	PUNCT
sc-3023	14	29	0.0513	0.0513	NUM
sc-3023	14	30	,	,	PUNCT
sc-3023	14	31	and	and	CCONJ
sc-3023	14	32	mase	mase	PROPN
sc-3023	14	33	:	:	PUNCT
sc-3023	14	34	0.9136	0.9136	NUM
sc-3023	14	35	)	)	PUNCT
sc-3023	14	36	.	.	PUNCT
sc-3023	15	1	keywords	keyword	NOUN
sc-3023	15	2	:	:	PUNCT
sc-3023	15	3	smart	smart	ADJ
sc-3023	15	4	city	city	NOUN
sc-3023	15	5	,	,	PUNCT
sc-3023	15	6	artificial	artificial	ADJ
sc-3023	15	7	intelligence	intelligence	NOUN
sc-3023	15	8	,	,	PUNCT
sc-3023	15	9	pneumonia	pneumonia	NOUN
sc-3023	15	10	and	and	CCONJ
sc-3023	15	11	malaria	malaria	NOUN
sc-3023	15	12	diseases	disease	NOUN
sc-3023	15	13	,	,	PUNCT
sc-3023	15	14	endemic	endemic	ADJ
sc-3023	15	15	diseases	disease	NOUN
sc-3023	15	16	,	,	PUNCT
sc-3023	15	17	gedaref	gedaref	NOUN
sc-3023	15	18	state	state	NOUN
sc-3023	15	19	.	.	PUNCT
sc-3023	15	20	received	receive	VERB
sc-3023	15	21	on	on	ADP
sc-3023	15	22	07	07	NUM
sc-3023	15	23	february	february	NOUN
sc-3023	15	24	2023	2023	NUM
sc-3023	15	25	,	,	PUNCT
sc-3023	15	26	accepted	accept	VERB
sc-3023	15	27	on	on	ADP
sc-3023	15	28	08	08	NUM
sc-3023	15	29	march	march	PROPN
sc-3023	15	30	2023	2023	NUM
sc-3023	15	31	,	,	PUNCT
sc-3023	15	32	published	publish	VERB
sc-3023	15	33	on	on	ADP
sc-3023	15	34	30	30	NUM
sc-3023	15	35	march	march	NOUN
sc-3023	15	36	2023	2023	NUM
sc-3023	15	37	copyright	copyright	NOUN
sc-3023	15	38	©	©	ADP
sc-3023	15	39	2023	2023	NUM
sc-3023	15	40	hussein	hussein	PROPN
sc-3023	15	41	a.	a.	NOUN
sc-3023	15	42	et	et	PROPN
sc-3023	15	43	al	al	PROPN
sc-3023	15	44	.	.	PROPN
sc-3023	15	45	,	,	PUNCT
sc-3023	15	46	licensed	license	VERB
sc-3023	15	47	to	to	ADP
sc-3023	15	48	eai	eai	PROPN
sc-3023	15	49	.	.	PUNCT
sc-3023	16	1	this	this	PRON
sc-3023	16	2	is	be	AUX
sc-3023	16	3	an	an	DET
sc-3023	16	4	open	open	ADJ
sc-3023	16	5	access	access	NOUN
sc-3023	16	6	article	article	NOUN
sc-3023	16	7	distributed	distribute	VERB
sc-3023	16	8	under	under	ADP
sc-3023	16	9	the	the	DET
sc-3023	16	10	terms	term	NOUN
sc-3023	16	11	of	of	ADP
sc-3023	16	12	the	the	DET
sc-3023	16	13	cc	cc	PROPN
sc-3023	16	14	by	by	ADP
sc-3023	16	15	-	-	PUNCT
sc-3023	16	16	nc	nc	PROPN
sc-3023	16	17	-	-	PUNCT
sc-3023	16	18	sa	sa	PROPN
sc-3023	16	19	4.0	4.0	NUM
sc-3023	16	20	,	,	PUNCT
sc-3023	16	21	which	which	PRON
sc-3023	16	22	permits	permit	VERB
sc-3023	16	23	copying	copy	VERB
sc-3023	16	24	,	,	PUNCT
sc-3023	16	25	redistributing	redistributing	NOUN
sc-3023	16	26	,	,	PUNCT
sc-3023	16	27	remixing	remixing	NOUN
sc-3023	16	28	,	,	PUNCT
sc-3023	16	29	transformation	transformation	NOUN
sc-3023	16	30	,	,	PUNCT
sc-3023	16	31	and	and	CCONJ
sc-3023	16	32	building	build	VERB
sc-3023	16	33	upon	upon	SCONJ
sc-3023	16	34	the	the	DET
sc-3023	16	35	material	material	NOUN
sc-3023	16	36	in	in	ADP
sc-3023	16	37	any	any	DET
sc-3023	16	38	medium	medium	NOUN
sc-3023	16	39	so	so	ADV
sc-3023	16	40	long	long	ADV
sc-3023	16	41	as	as	SCONJ
sc-3023	16	42	the	the	DET
sc-3023	16	43	original	original	ADJ
sc-3023	16	44	work	work	NOUN
sc-3023	16	45	is	be	AUX
sc-3023	16	46	properly	properly	ADV
sc-3023	16	47	cited	cite	VERB
sc-3023	16	48	.	.	PUNCT
sc-3023	17	1	doi	doi	NOUN
sc-3023	17	2	:	:	PUNCT
sc-3023	17	3	10.4108	10.4108	NUM
sc-3023	17	4	/	/	SYM
sc-3023	17	5	eetsc.v7i2.3023	eetsc.v7i2.3023	NUM
sc-3023	17	6	*	*	PUNCT
sc-3023	17	7	corresponding	correspond	VERB
sc-3023	17	8	author	author	NOUN
sc-3023	17	9	.	.	PUNCT
sc-3023	18	1	email	email	NOUN
sc-3023	18	2	:	:	PUNCT
sc-3023	18	3	1	1	X
sc-3023	18	4	.	.	X
sc-3023	18	5	introduction	introduction	NOUN
sc-3023	18	6	in	in	ADP
sc-3023	18	7	recent	recent	ADJ
sc-3023	18	8	years	year	NOUN
sc-3023	18	9	,	,	PUNCT
sc-3023	18	10	smart	smart	ADJ
sc-3023	18	11	cities	city	NOUN
sc-3023	18	12	have	have	AUX
sc-3023	18	13	dominated	dominate	VERB
sc-3023	18	14	discussions	discussion	NOUN
sc-3023	18	15	about	about	ADP
sc-3023	18	16	shifting	shift	VERB
sc-3023	18	17	economic	economic	ADJ
sc-3023	18	18	growth	growth	NOUN
sc-3023	18	19	,	,	PUNCT
sc-3023	18	20	local	local	ADJ
sc-3023	18	21	geographic	geographic	ADJ
sc-3023	18	22	development	development	NOUN
sc-3023	18	23	,	,	PUNCT
sc-3023	18	24	and	and	CCONJ
sc-3023	18	25	accessibility	accessibility	NOUN
sc-3023	18	26	.	.	PUNCT
sc-3023	19	1	despite	despite	SCONJ
sc-3023	19	2	enormous	enormous	ADJ
sc-3023	19	3	amounts	amount	NOUN
sc-3023	19	4	of	of	ADP
sc-3023	19	5	global	global	ADJ
sc-3023	19	6	investment	investment	NOUN
sc-3023	19	7	in	in	ADP
sc-3023	19	8	smart	smart	ADJ
sc-3023	19	9	cities	city	NOUN
sc-3023	19	10	,	,	PUNCT
sc-3023	19	11	such	such	ADJ
sc-3023	19	12	as	as	ADP
sc-3023	19	13	$	$	SYM
sc-3023	19	14	608	608	NUM
sc-3023	19	15	billion	billion	NUM
sc-3023	19	16	usd	usd	NOUN
sc-3023	19	17	,	,	PUNCT
sc-3023	19	18	many	many	ADJ
sc-3023	19	19	people	people	NOUN
sc-3023	19	20	are	be	AUX
sc-3023	19	21	still	still	ADV
sc-3023	19	22	unclear	unclear	ADJ
sc-3023	19	23	about	about	ADP
sc-3023	19	24	what	what	PRON
sc-3023	19	25	smart	smart	ADJ
sc-3023	19	26	cities	city	NOUN
sc-3023	19	27	are	be	AUX
sc-3023	19	28	.	.	PUNCT
sc-3023	20	1	a	a	DET
sc-3023	20	2	smart	smart	ADJ
sc-3023	20	3	city	city	NOUN
sc-3023	20	4	is	be	AUX
sc-3023	20	5	defined	define	VERB
sc-3023	20	6	as	as	ADP
sc-3023	20	7	a	a	DET
sc-3023	20	8	metropolitan	metropolitan	ADJ
sc-3023	20	9	area	area	NOUN
sc-3023	20	10	that	that	PRON
sc-3023	20	11	uses	use	VERB
sc-3023	20	12	electronic	electronic	ADJ
sc-3023	20	13	and	and	CCONJ
sc-3023	20	14	technological	technological	ADJ
sc-3023	20	15	infrastructure	infrastructure	NOUN
sc-3023	20	16	,	,	PUNCT
sc-3023	20	17	such	such	ADJ
sc-3023	20	18	as	as	ADP
sc-3023	20	19	information	information	NOUN
sc-3023	20	20	and	and	CCONJ
sc-3023	20	21	communication	communication	NOUN
sc-3023	20	22	technology	technology	NOUN
sc-3023	20	23	(	(	PUNCT
sc-3023	20	24	ict	ict	PROPN
sc-3023	20	25	)	)	PUNCT
sc-3023	20	26	,	,	PUNCT
sc-3023	20	27	to	to	PART
sc-3023	20	28	collect	collect	VERB
sc-3023	20	29	real	real	ADJ
sc-3023	20	30	-	-	PUNCT
sc-3023	20	31	time	time	NOUN
sc-3023	20	32	data	datum	NOUN
sc-3023	20	33	and	and	CCONJ
sc-3023	20	34	insights	insight	NOUN
sc-3023	20	35	,	,	PUNCT
sc-3023	20	36	supply	supply	VERB
sc-3023	20	37	key	key	ADJ
sc-3023	20	38	services	service	NOUN
sc-3023	20	39	,	,	PUNCT
sc-3023	20	40	and	and	CCONJ
sc-3023	20	41	address	address	VERB
sc-3023	20	42	local	local	ADJ
sc-3023	20	43	issues	issue	NOUN
sc-3023	20	44	.	.	PUNCT
sc-3023	21	1	smart	smart	ADJ
sc-3023	21	2	cities	city	NOUN
sc-3023	21	3	are	be	AUX
sc-3023	21	4	also	also	ADV
sc-3023	21	5	used	use	VERB
sc-3023	21	6	to	to	PART
sc-3023	21	7	improve	improve	VERB
sc-3023	21	8	municipal	municipal	ADJ
sc-3023	21	9	operations	operation	NOUN
sc-3023	21	10	such	such	ADJ
sc-3023	21	11	as	as	ADP
sc-3023	21	12	public	public	ADJ
sc-3023	21	13	transportation	transportation	NOUN
sc-3023	21	14	,	,	PUNCT
sc-3023	21	15	power	power	NOUN
sc-3023	21	16	and	and	CCONJ
sc-3023	21	17	water	water	NOUN
sc-3023	21	18	supply	supply	NOUN
sc-3023	21	19	,	,	PUNCT
sc-3023	21	20	and	and	CCONJ
sc-3023	21	21	sanitation	sanitation	NOUN
sc-3023	21	22	.	.	PUNCT
sc-3023	22	1	eai	eai	PROPN
sc-3023	22	2	endorsed	endorse	VERB
sc-3023	22	3	transactions	transaction	NOUN
sc-3023	22	4	on	on	ADP
sc-3023	22	5	smart	smart	ADJ
sc-3023	22	6	cities	city	NOUN
sc-3023	22	7	research	research	NOUN
sc-3023	22	8	article	article	NOUN
sc-3023	22	9	eai	eai	PROPN
sc-3023	22	10	endorsed	endorse	VERB
sc-3023	22	11	transactions	transaction	NOUN
sc-3023	22	12	on	on	ADP
sc-3023	22	13	smart	smart	ADJ
sc-3023	22	14	cities	city	NOUN
sc-3023	22	15	|	|	ADV
sc-3023	22	16	volume	volume	VERB
sc-3023	22	17	7	7	NUM
sc-3023	22	18	|	|	NOUN
sc-3023	22	19	issue	issue	NOUN
sc-3023	22	20	2	2	NUM
sc-3023	23	1	|	|	ADV
sc-3023	23	2	https://creativecommons.org/licenses/by-nc-sa/4.0/	https://creativecommons.org/licenses/by-nc-sa/4.0/	PROPN
sc-3023	23	3	https://creativecommons.org/licenses/by-nc-sa/4.0/	https://creativecommons.org/licenses/by-nc-sa/4.0/	PROPN
sc-3023	23	4	hussein	hussein	PROPN
sc-3023	23	5	ali	ali	PROPN
sc-3023	23	6	hussein	hussein	PROPN
sc-3023	23	7	,	,	PUNCT
sc-3023	23	8	mukhtar	mukhtar	PROPN
sc-3023	23	9	m.	m.	PROPN
sc-3023	23	10	e.	e.	PROPN
sc-3023	23	11	mahmoud	mahmoud	PROPN
sc-3023	23	12	and	and	CCONJ
sc-3023	23	13	haroun	haroun	PROPN
sc-3023	23	14	a.	a.	PROPN
sc-3023	23	15	eisa	eisa	PROPN
sc-3023	23	16	2	2	NUM
sc-3023	23	17	using	use	VERB
sc-3023	23	18	this	this	DET
sc-3023	23	19	information	information	NOUN
sc-3023	23	20	,	,	PUNCT
sc-3023	23	21	the	the	DET
sc-3023	23	22	city	city	NOUN
sc-3023	23	23	administration	administration	NOUN
sc-3023	23	24	may	may	AUX
sc-3023	23	25	make	make	VERB
sc-3023	23	26	educated	educated	ADJ
sc-3023	23	27	decisions	decision	NOUN
sc-3023	23	28	about	about	ADP
sc-3023	23	29	establishing	establish	VERB
sc-3023	23	30	effective	effective	ADJ
sc-3023	23	31	solutions	solution	NOUN
sc-3023	23	32	to	to	ADP
sc-3023	23	33	the	the	DET
sc-3023	23	34	city	city	NOUN
sc-3023	23	35	's	's	PART
sc-3023	23	36	present	present	ADJ
sc-3023	23	37	problems	problem	NOUN
sc-3023	23	38	[	[	X
sc-3023	23	39	1	1	NUM
sc-3023	23	40	]	]	PUNCT
sc-3023	23	41	.	.	PUNCT
sc-3023	24	1	the	the	DET
sc-3023	24	2	use	use	NOUN
sc-3023	24	3	of	of	ADP
sc-3023	24	4	machine	machine	NOUN
sc-3023	24	5	learning	learning	NOUN
sc-3023	24	6	and	and	CCONJ
sc-3023	24	7	other	other	ADJ
sc-3023	24	8	cognitive	cognitive	ADJ
sc-3023	24	9	sciences	science	NOUN
sc-3023	24	10	to	to	PART
sc-3023	24	11	help	help	VERB
sc-3023	24	12	doctors	doctor	NOUN
sc-3023	24	13	make	make	VERB
sc-3023	24	14	decisions	decision	NOUN
sc-3023	24	15	is	be	AUX
sc-3023	24	16	an	an	DET
sc-3023	24	17	important	important	ADJ
sc-3023	24	18	way	way	NOUN
sc-3023	24	19	ai	ai	VERB
sc-3023	24	20	is	be	AUX
sc-3023	24	21	used	use	VERB
sc-3023	24	22	in	in	ADP
sc-3023	24	23	medicine.ai	medicine.ai	NOUN
sc-3023	24	24	could	could	AUX
sc-3023	24	25	help	help	VERB
sc-3023	24	26	specialists	specialist	NOUN
sc-3023	24	27	and	and	CCONJ
sc-3023	24	28	clinical	clinical	ADJ
sc-3023	24	29	professionals	professional	NOUN
sc-3023	24	30	share	share	VERB
sc-3023	24	31	more	more	ADV
sc-3023	24	32	accurate	accurate	ADJ
sc-3023	24	33	findings	finding	NOUN
sc-3023	24	34	and	and	CCONJ
sc-3023	24	35	treatment	treatment	NOUN
sc-3023	24	36	plans	plan	NOUN
sc-3023	24	37	by	by	ADP
sc-3023	24	38	using	use	VERB
sc-3023	24	39	information	information	NOUN
sc-3023	24	40	about	about	ADP
sc-3023	24	41	the	the	DET
sc-3023	24	42	patient	patient	ADJ
sc-3023	24	43	and	and	CCONJ
sc-3023	24	44	other	other	ADJ
sc-3023	24	45	data	datum	NOUN
sc-3023	24	46	.	.	PUNCT
sc-3023	25	1	furthermore	furthermore	ADV
sc-3023	25	2	,	,	PUNCT
sc-3023	25	3	by	by	ADP
sc-3023	25	4	breaking	break	VERB
sc-3023	25	5	down	down	ADP
sc-3023	25	6	massive	massive	ADJ
sc-3023	25	7	volumes	volume	NOUN
sc-3023	25	8	of	of	ADP
sc-3023	25	9	data	datum	NOUN
sc-3023	25	10	to	to	PART
sc-3023	25	11	produce	produce	VERB
sc-3023	25	12	better	well	ADJ
sc-3023	25	13	preventative	preventative	ADJ
sc-3023	25	14	care	care	NOUN
sc-3023	25	15	suggestions	suggestion	NOUN
sc-3023	25	16	for	for	ADP
sc-3023	25	17	patients	patient	NOUN
sc-3023	25	18	,	,	PUNCT
sc-3023	25	19	ai	ai	VERB
sc-3023	25	20	can	can	AUX
sc-3023	25	21	help	help	VERB
sc-3023	25	22	make	make	VERB
sc-3023	25	23	medical	medical	ADJ
sc-3023	25	24	services	service	NOUN
sc-3023	25	25	more	more	ADV
sc-3023	25	26	predictive	predictive	ADJ
sc-3023	25	27	and	and	CCONJ
sc-3023	25	28	proactive	proactive	ADJ
sc-3023	25	29	.	.	PUNCT
sc-3023	26	1	medical	medical	ADJ
sc-3023	26	2	services	service	NOUN
sc-3023	26	3	are	be	AUX
sc-3023	26	4	likely	likely	ADJ
sc-3023	26	5	the	the	DET
sc-3023	26	6	most	most	ADV
sc-3023	26	7	essential	essential	ADJ
sc-3023	26	8	area	area	NOUN
sc-3023	26	9	in	in	ADP
sc-3023	26	10	the	the	DET
sc-3023	26	11	bigger	big	ADJ
sc-3023	26	12	picture	picture	NOUN
sc-3023	26	13	of	of	ADP
sc-3023	26	14	huge	huge	ADJ
sc-3023	26	15	information	information	NOUN
sc-3023	26	16	because	because	SCONJ
sc-3023	26	17	of	of	ADP
sc-3023	26	18	their	their	PRON
sc-3023	26	19	critical	critical	ADJ
sc-3023	26	20	role	role	NOUN
sc-3023	26	21	in	in	ADP
sc-3023	26	22	a	a	DET
sc-3023	26	23	flourishing	flourish	VERB
sc-3023	26	24	society	society	NOUN
sc-3023	26	25	.	.	PUNCT
sc-3023	27	1	ai	ai	VERB
sc-3023	27	2	implementation	implementation	NOUN
sc-3023	27	3	knowledge	knowledge	NOUN
sc-3023	27	4	can	can	AUX
sc-3023	27	5	mean	mean	VERB
sc-3023	27	6	the	the	DET
sc-3023	27	7	difference	difference	NOUN
sc-3023	27	8	between	between	ADP
sc-3023	27	9	life	life	NOUN
sc-3023	27	10	and	and	CCONJ
sc-3023	27	11	death	death	NOUN
sc-3023	27	12	in	in	ADP
sc-3023	27	13	the	the	DET
sc-3023	27	14	healthcare	healthcare	NOUN
sc-3023	27	15	profession	profession	NOUN
sc-3023	27	16	.	.	PUNCT
sc-3023	28	1	in	in	ADP
sc-3023	28	2	their	their	PRON
sc-3023	28	3	regular	regular	ADJ
sc-3023	28	4	work	work	NOUN
sc-3023	28	5	,	,	PUNCT
sc-3023	28	6	specialists	specialist	NOUN
sc-3023	28	7	,	,	PUNCT
sc-3023	28	8	medical	medical	ADJ
sc-3023	28	9	caregivers	caregiver	NOUN
sc-3023	28	10	,	,	PUNCT
sc-3023	28	11	and	and	CCONJ
sc-3023	28	12	other	other	ADJ
sc-3023	28	13	medical	medical	ADJ
sc-3023	28	14	service	service	NOUN
sc-3023	28	15	employees	employee	NOUN
sc-3023	28	16	can	can	AUX
sc-3023	28	17	profit	profit	VERB
sc-3023	28	18	from	from	ADP
sc-3023	28	19	computer	computer	NOUN
sc-3023	28	20	-	-	PUNCT
sc-3023	28	21	based	base	VERB
sc-3023	28	22	intelligence	intelligence	NOUN
sc-3023	28	23	.	.	PUNCT
sc-3023	29	1	simulated	simulate	VERB
sc-3023	29	2	intelligence	intelligence	NOUN
sc-3023	29	3	in	in	ADP
sc-3023	29	4	medical	medical	ADJ
sc-3023	29	5	services	service	NOUN
sc-3023	29	6	can	can	AUX
sc-3023	29	7	increase	increase	VERB
sc-3023	29	8	preventive	preventive	ADJ
sc-3023	29	9	care	care	NOUN
sc-3023	29	10	and	and	CCONJ
sc-3023	29	11	personal	personal	ADJ
sc-3023	29	12	happiness	happiness	NOUN
sc-3023	29	13	,	,	PUNCT
sc-3023	29	14	lead	lead	VERB
sc-3023	29	15	to	to	ADP
sc-3023	29	16	more	more	ADV
sc-3023	29	17	precise	precise	ADJ
sc-3023	29	18	judgments	judgment	NOUN
sc-3023	29	19	and	and	CCONJ
sc-3023	29	20	treatment	treatment	NOUN
sc-3023	29	21	techniques	technique	NOUN
sc-3023	29	22	,	,	PUNCT
sc-3023	29	23	and	and	CCONJ
sc-3023	29	24	result	result	VERB
sc-3023	29	25	in	in	ADP
sc-3023	29	26	improved	improved	ADJ
sc-3023	29	27	overall	overall	ADJ
sc-3023	29	28	outcomes	outcome	NOUN
sc-3023	29	29	.	.	PUNCT
sc-3023	30	1	by	by	ADP
sc-3023	30	2	evaluating	evaluate	VERB
sc-3023	30	3	data	datum	NOUN
sc-3023	30	4	from	from	ADP
sc-3023	30	5	administration	administration	NOUN
sc-3023	30	6	,	,	PUNCT
sc-3023	30	7	medical	medical	ADJ
sc-3023	30	8	services	service	NOUN
sc-3023	30	9	,	,	PUNCT
sc-3023	30	10	and	and	CCONJ
sc-3023	30	11	other	other	ADJ
sc-3023	30	12	sources	source	NOUN
sc-3023	30	13	,	,	PUNCT
sc-3023	30	14	simulated	simulate	VERB
sc-3023	30	15	intelligence	intelligence	NOUN
sc-3023	30	16	can	can	AUX
sc-3023	30	17	also	also	ADV
sc-3023	30	18	anticipate	anticipate	VERB
sc-3023	30	19	and	and	CCONJ
sc-3023	30	20	track	track	VERB
sc-3023	30	21	the	the	DET
sc-3023	30	22	development	development	NOUN
sc-3023	30	23	of	of	ADP
sc-3023	30	24	dangerous	dangerous	ADJ
sc-3023	30	25	diseases	disease	NOUN
sc-3023	30	26	.	.	PUNCT
sc-3023	31	1	as	as	ADP
sc-3023	31	2	a	a	DET
sc-3023	31	3	result	result	NOUN
sc-3023	31	4	,	,	PUNCT
sc-3023	31	5	as	as	ADP
sc-3023	31	6	a	a	DET
sc-3023	31	7	tool	tool	NOUN
sc-3023	31	8	for	for	ADP
sc-3023	31	9	preventing	prevent	VERB
sc-3023	31	10	illnesses	illness	NOUN
sc-3023	31	11	and	and	CCONJ
sc-3023	31	12	pandemics	pandemic	NOUN
sc-3023	31	13	,	,	PUNCT
sc-3023	31	14	ai	ai	VERB
sc-3023	31	15	has	have	VERB
sc-3023	31	16	the	the	DET
sc-3023	31	17	potential	potential	NOUN
sc-3023	31	18	to	to	PART
sc-3023	31	19	play	play	VERB
sc-3023	31	20	a	a	DET
sc-3023	31	21	vital	vital	ADJ
sc-3023	31	22	role	role	NOUN
sc-3023	31	23	in	in	ADP
sc-3023	31	24	global	global	ADJ
sc-3023	31	25	well	well	ADV
sc-3023	31	26	-	-	PUNCT
sc-3023	31	27	being	be	AUX
sc-3023	31	28	[	[	X
sc-3023	31	29	2	2	NUM
sc-3023	31	30	]	]	PUNCT
sc-3023	31	31	.	.	PUNCT
sc-3023	32	1	gedaref	gedaref	NOUN
sc-3023	32	2	state	state	NOUN
sc-3023	32	3	is	be	AUX
sc-3023	32	4	located	locate	VERB
sc-3023	32	5	in	in	ADP
sc-3023	32	6	eastern	eastern	PROPN
sc-3023	32	7	sudan	sudan	PROPN
sc-3023	32	8	,	,	PUNCT
sc-3023	32	9	bordering	border	VERB
sc-3023	32	10	ethiopia	ethiopia	PROPN
sc-3023	32	11	;	;	PUNCT
sc-3023	32	12	kassala	kassala	PROPN
sc-3023	32	13	and	and	CCONJ
sc-3023	32	14	khartoum	khartoum	PROPN
sc-3023	32	15	states	state	NOUN
sc-3023	32	16	in	in	ADP
sc-3023	32	17	the	the	DET
sc-3023	32	18	north	north	NOUN
sc-3023	32	19	;	;	PUNCT
sc-3023	32	20	aljazira	aljazira	PROPN
sc-3023	32	21	state	state	NOUN
sc-3023	32	22	in	in	ADP
sc-3023	32	23	the	the	DET
sc-3023	32	24	west	west	NOUN
sc-3023	32	25	;	;	PUNCT
sc-3023	32	26	and	and	CCONJ
sc-3023	32	27	sennar	sennar	VERB
sc-3023	32	28	state	state	NOUN
sc-3023	32	29	in	in	ADP
sc-3023	32	30	the	the	DET
sc-3023	32	31	south	south	NOUN
sc-3023	32	32	.	.	PUNCT
sc-3023	33	1	the	the	DET
sc-3023	33	2	international	international	ADJ
sc-3023	33	3	border	border	NOUN
sc-3023	33	4	crossings	crossing	NOUN
sc-3023	33	5	in	in	ADP
sc-3023	33	6	gedaref	gedaref	NOUN
sc-3023	33	7	state	state	NOUN
sc-3023	33	8	are	be	AUX
sc-3023	33	9	the	the	DET
sc-3023	33	10	hamdayet	hamdayet	ADP
sc-3023	33	11	border	border	NOUN
sc-3023	33	12	crossing	crossing	NOUN
sc-3023	33	13	in	in	ADP
sc-3023	33	14	the	the	DET
sc-3023	33	15	north	north	NOUN
sc-3023	33	16	and	and	CCONJ
sc-3023	33	17	the	the	DET
sc-3023	33	18	gallabat	gallabat	NOUN
sc-3023	33	19	border	border	NOUN
sc-3023	33	20	crossing	crossing	NOUN
sc-3023	33	21	in	in	ADP
sc-3023	33	22	the	the	DET
sc-3023	33	23	south	south	NOUN
sc-3023	33	24	.	.	PUNCT
sc-3023	34	1	gedaref	gedaref	NOUN
sc-3023	34	2	is	be	AUX
sc-3023	34	3	home	home	NOUN
sc-3023	34	4	to	to	ADP
sc-3023	34	5	many	many	ADJ
sc-3023	34	6	tribes	tribe	NOUN
sc-3023	34	7	,	,	PUNCT
sc-3023	34	8	including	include	VERB
sc-3023	34	9	arabs	arabs	PROPN
sc-3023	34	10	,	,	PUNCT
sc-3023	34	11	beja	beja	PROPN
sc-3023	34	12	,	,	PUNCT
sc-3023	34	13	nubians	nubian	NOUN
sc-3023	34	14	,	,	PUNCT
sc-3023	34	15	and	and	CCONJ
sc-3023	34	16	others	other	NOUN
sc-3023	34	17	.	.	PUNCT
sc-3023	35	1	the	the	DET
sc-3023	35	2	state	state	NOUN
sc-3023	35	3	is	be	AUX
sc-3023	35	4	known	know	VERB
sc-3023	35	5	for	for	ADP
sc-3023	35	6	its	its	PRON
sc-3023	35	7	large	large	ADJ
sc-3023	35	8	-	-	PUNCT
sc-3023	35	9	scale	scale	NOUN
sc-3023	35	10	rainfed	rainfed	ADJ
sc-3023	35	11	agriculture	agriculture	NOUN
sc-3023	35	12	activities	activity	NOUN
sc-3023	35	13	and	and	CCONJ
sc-3023	35	14	vast	vast	ADJ
sc-3023	35	15	agricultural	agricultural	ADJ
sc-3023	35	16	acreage	acreage	NOUN
sc-3023	35	17	.	.	PUNCT
sc-3023	36	1	sorghum	sorghum	NOUN
sc-3023	36	2	and	and	CCONJ
sc-3023	36	3	sesame	sesame	NOUN
sc-3023	36	4	are	be	AUX
sc-3023	36	5	the	the	DET
sc-3023	36	6	two	two	NUM
sc-3023	36	7	main	main	ADJ
sc-3023	36	8	agricultural	agricultural	ADJ
sc-3023	36	9	products	product	NOUN
sc-3023	36	10	.	.	PUNCT
sc-3023	37	1	rainfed	rainfed	ADJ
sc-3023	37	2	agriculture	agriculture	NOUN
sc-3023	37	3	and	and	CCONJ
sc-3023	37	4	the	the	DET
sc-3023	37	5	production	production	NOUN
sc-3023	37	6	of	of	ADP
sc-3023	37	7	arabic	arabic	ADJ
sc-3023	37	8	gum	gum	NOUN
sc-3023	37	9	are	be	AUX
sc-3023	37	10	the	the	DET
sc-3023	37	11	state	state	NOUN
sc-3023	37	12	's	's	PART
sc-3023	37	13	main	main	ADJ
sc-3023	37	14	sources	source	NOUN
sc-3023	37	15	of	of	ADP
sc-3023	37	16	revenue	revenue	NOUN
sc-3023	37	17	[	[	X
sc-3023	37	18	3	3	NUM
sc-3023	37	19	]	]	PUNCT
sc-3023	37	20	.	.	PUNCT
sc-3023	38	1	malaria	malaria	NOUN
sc-3023	38	2	and	and	CCONJ
sc-3023	38	3	pneumonia	pneumonia	NOUN
sc-3023	38	4	are	be	AUX
sc-3023	38	5	the	the	DET
sc-3023	38	6	most	most	ADV
sc-3023	38	7	common	common	ADJ
sc-3023	38	8	diseases	disease	NOUN
sc-3023	38	9	in	in	ADP
sc-3023	38	10	gedaref	gedaref	NOUN
sc-3023	38	11	state	state	NOUN
sc-3023	38	12	,	,	PUNCT
sc-3023	38	13	with	with	ADP
sc-3023	38	14	the	the	DET
sc-3023	38	15	most	most	ADJ
sc-3023	38	16	cases	case	NOUN
sc-3023	38	17	between	between	ADP
sc-3023	38	18	2017	2017	NUM
sc-3023	38	19	and	and	CCONJ
sc-3023	38	20	2021	2021	NUM
sc-3023	38	21	,	,	PUNCT
sc-3023	38	22	according	accord	VERB
sc-3023	38	23	to	to	ADP
sc-3023	38	24	data	datum	NOUN
sc-3023	38	25	from	from	ADP
sc-3023	38	26	the	the	DET
sc-3023	38	27	state	state	NOUN
sc-3023	38	28	's	's	PART
sc-3023	38	29	ministry	ministry	PROPN
sc-3023	38	30	of	of	ADP
sc-3023	38	31	health	health	PROPN
sc-3023	38	32	.	.	PUNCT
sc-3023	39	1	the	the	PRON
sc-3023	39	2	who	who	PRON
sc-3023	39	3	says	say	VERB
sc-3023	39	4	that	that	SCONJ
sc-3023	39	5	malaria	malaria	NOUN
sc-3023	39	6	is	be	AUX
sc-3023	39	7	a	a	DET
sc-3023	39	8	dangerous	dangerous	ADJ
sc-3023	39	9	disease	disease	NOUN
sc-3023	39	10	that	that	PRON
sc-3023	39	11	is	be	AUX
sc-3023	39	12	found	find	VERB
sc-3023	39	13	in	in	ADP
sc-3023	39	14	most	most	ADJ
sc-3023	39	15	tropical	tropical	ADJ
sc-3023	39	16	countries	country	NOUN
sc-3023	39	17	.	.	PUNCT
sc-3023	40	1	prevention	prevention	NOUN
sc-3023	40	2	and	and	CCONJ
sc-3023	40	3	therapy	therapy	NOUN
sc-3023	40	4	are	be	AUX
sc-3023	40	5	both	both	DET
sc-3023	40	6	options	option	NOUN
sc-3023	40	7	.	.	PUNCT
sc-3023	41	1	however	however	ADV
sc-3023	41	2	,	,	PUNCT
sc-3023	41	3	simple	simple	ADJ
sc-3023	41	4	malaria	malaria	NOUN
sc-3023	41	5	can	can	AUX
sc-3023	41	6	progress	progress	VERB
sc-3023	41	7	to	to	ADP
sc-3023	41	8	a	a	DET
sc-3023	41	9	severe	severe	ADJ
sc-3023	41	10	type	type	NOUN
sc-3023	41	11	of	of	ADP
sc-3023	41	12	sickness	sickness	NOUN
sc-3023	41	13	that	that	PRON
sc-3023	41	14	is	be	AUX
sc-3023	41	15	commonly	commonly	ADV
sc-3023	41	16	fatal	fatal	ADJ
sc-3023	41	17	without	without	ADP
sc-3023	41	18	treatment	treatment	NOUN
sc-3023	41	19	if	if	SCONJ
sc-3023	41	20	a	a	DET
sc-3023	41	21	prompt	prompt	ADJ
sc-3023	41	22	diagnosis	diagnosis	NOUN
sc-3023	41	23	and	and	CCONJ
sc-3023	41	24	appropriate	appropriate	ADJ
sc-3023	41	25	treatment	treatment	NOUN
sc-3023	41	26	are	be	AUX
sc-3023	41	27	not	not	PART
sc-3023	41	28	delivered	deliver	VERB
sc-3023	41	29	.	.	PUNCT
sc-3023	42	1	female	female	ADJ
sc-3023	42	2	anopheles	anophele	NOUN
sc-3023	42	3	mosquito	mosquito	ADJ
sc-3023	42	4	bites	bite	NOUN
sc-3023	42	5	,	,	PUNCT
sc-3023	42	6	which	which	PRON
sc-3023	42	7	are	be	AUX
sc-3023	42	8	not	not	PART
sc-3023	42	9	contagious	contagious	ADJ
sc-3023	42	10	and	and	CCONJ
sc-3023	42	11	can	can	AUX
sc-3023	42	12	not	not	PART
sc-3023	42	13	spread	spread	VERB
sc-3023	42	14	the	the	DET
sc-3023	42	15	disease	disease	NOUN
sc-3023	42	16	from	from	ADP
sc-3023	42	17	person	person	NOUN
sc-3023	42	18	to	to	ADP
sc-3023	42	19	person	person	NOUN
sc-3023	42	20	.	.	PUNCT
sc-3023	43	1	plasmodium	plasmodium	NOUN
sc-3023	43	2	falciparum	falciparum	NOUN
sc-3023	43	3	and	and	CCONJ
sc-3023	43	4	plasmodium	plasmodium	NOUN
sc-3023	43	5	vivax	vivax	NOUN
sc-3023	43	6	are	be	AUX
sc-3023	43	7	the	the	DET
sc-3023	43	8	two	two	NUM
sc-3023	43	9	parasite	parasite	NOUN
sc-3023	43	10	species	specie	NOUN
sc-3023	43	11	that	that	PRON
sc-3023	43	12	cause	cause	VERB
sc-3023	43	13	malaria	malaria	NOUN
sc-3023	43	14	and	and	CCONJ
sc-3023	43	15	do	do	VERB
sc-3023	43	16	the	the	DET
sc-3023	43	17	most	most	ADJ
sc-3023	43	18	harm	harm	NOUN
sc-3023	43	19	to	to	ADP
sc-3023	43	20	people	people	NOUN
sc-3023	43	21	.	.	PUNCT
sc-3023	44	1	there	there	PRON
sc-3023	44	2	are	be	VERB
sc-3023	44	3	around	around	ADV
sc-3023	44	4	400	400	NUM
sc-3023	44	5	anopheles	anophele	NOUN
sc-3023	44	6	mosquito	mosquito	ADJ
sc-3023	44	7	species	specie	NOUN
sc-3023	44	8	,	,	PUNCT
sc-3023	44	9	and	and	CCONJ
sc-3023	44	10	about	about	ADP
sc-3023	44	11	40	40	NUM
sc-3023	44	12	of	of	ADP
sc-3023	44	13	these	these	PRON
sc-3023	44	14	,	,	PUNCT
sc-3023	44	15	known	know	VERB
sc-3023	44	16	as	as	ADP
sc-3023	44	17	vector	vector	NOUN
sc-3023	44	18	species	specie	NOUN
sc-3023	44	19	,	,	PUNCT
sc-3023	44	20	are	be	AUX
sc-3023	44	21	capable	capable	ADJ
sc-3023	44	22	of	of	ADP
sc-3023	44	23	conveying	convey	VERB
sc-3023	44	24	disease	disease	NOUN
sc-3023	44	25	.	.	PUNCT
sc-3023	45	1	several	several	ADJ
sc-3023	45	2	factors	factor	NOUN
sc-3023	45	3	,	,	PUNCT
sc-3023	45	4	such	such	ADJ
sc-3023	45	5	as	as	ADP
sc-3023	45	6	the	the	DET
sc-3023	45	7	kind	kind	NOUN
sc-3023	45	8	of	of	ADP
sc-3023	45	9	local	local	ADJ
sc-3023	45	10	mosquitoes	mosquito	NOUN
sc-3023	45	11	,	,	PUNCT
sc-3023	45	12	influence	influence	VERB
sc-3023	45	13	the	the	DET
sc-3023	45	14	likelihood	likelihood	NOUN
sc-3023	45	15	of	of	ADP
sc-3023	45	16	infection	infection	NOUN
sc-3023	45	17	,	,	PUNCT
sc-3023	45	18	with	with	ADP
sc-3023	45	19	certain	certain	ADJ
sc-3023	45	20	areas	area	NOUN
sc-3023	45	21	being	be	AUX
sc-3023	45	22	more	more	ADV
sc-3023	45	23	vulnerable	vulnerable	ADJ
sc-3023	45	24	than	than	ADP
sc-3023	45	25	others	other	NOUN
sc-3023	45	26	.	.	PUNCT
sc-3023	46	1	the	the	DET
sc-3023	46	2	risk	risk	NOUN
sc-3023	46	3	is	be	AUX
sc-3023	46	4	greatest	great	ADJ
sc-3023	46	5	in	in	ADP
sc-3023	46	6	tropical	tropical	ADJ
sc-3023	46	7	settings	setting	NOUN
sc-3023	46	8	during	during	ADP
sc-3023	46	9	the	the	DET
sc-3023	46	10	rainy	rainy	ADJ
sc-3023	46	11	season	season	NOUN
sc-3023	46	12	,	,	PUNCT
sc-3023	46	13	although	although	SCONJ
sc-3023	46	14	it	it	PRON
sc-3023	46	15	may	may	AUX
sc-3023	46	16	vary	vary	VERB
sc-3023	46	17	seasonally	seasonally	ADV
sc-3023	46	18	[	[	X
sc-3023	46	19	4	4	NUM
sc-3023	46	20	]	]	PUNCT
sc-3023	46	21	.	.	PUNCT
sc-3023	47	1	pneumonia	pneumonia	NOUN
sc-3023	47	2	,	,	PUNCT
sc-3023	47	3	according	accord	VERB
sc-3023	47	4	to	to	ADP
sc-3023	47	5	the	the	DET
sc-3023	47	6	world	world	PROPN
sc-3023	47	7	health	health	PROPN
sc-3023	47	8	organization	organization	NOUN
sc-3023	47	9	,	,	PUNCT
sc-3023	47	10	is	be	AUX
sc-3023	47	11	an	an	DET
sc-3023	47	12	acute	acute	ADJ
sc-3023	47	13	respiratory	respiratory	ADJ
sc-3023	47	14	disorder	disorder	NOUN
sc-3023	47	15	that	that	PRON
sc-3023	47	16	mostly	mostly	ADV
sc-3023	47	17	affects	affect	VERB
sc-3023	47	18	the	the	DET
sc-3023	47	19	lungs	lung	NOUN
sc-3023	47	20	.	.	PUNCT
sc-3023	48	1	when	when	SCONJ
sc-3023	48	2	a	a	DET
sc-3023	48	3	healthy	healthy	ADJ
sc-3023	48	4	person	person	NOUN
sc-3023	48	5	breathes	breathe	VERB
sc-3023	48	6	,	,	PUNCT
sc-3023	48	7	tiny	tiny	ADJ
sc-3023	48	8	air	air	NOUN
sc-3023	48	9	sacs	sac	NOUN
sc-3023	48	10	called	call	VERB
sc-3023	48	11	alveoli	alveoli	ADV
sc-3023	48	12	fill	fill	VERB
sc-3023	48	13	up	up	ADP
sc-3023	48	14	and	and	CCONJ
sc-3023	48	15	form	form	VERB
sc-3023	48	16	the	the	DET
sc-3023	48	17	lungs	lung	NOUN
sc-3023	48	18	.	.	PUNCT
sc-3023	49	1	when	when	SCONJ
sc-3023	49	2	a	a	DET
sc-3023	49	3	person	person	NOUN
sc-3023	49	4	gets	get	VERB
sc-3023	49	5	pneumonia	pneumonia	NOUN
sc-3023	49	6	,	,	PUNCT
sc-3023	49	7	the	the	DET
sc-3023	49	8	alveoli	alveoli	NOUN
sc-3023	49	9	get	get	AUX
sc-3023	49	10	blocked	block	VERB
sc-3023	49	11	with	with	ADP
sc-3023	49	12	pus	pus	NOUN
sc-3023	49	13	and	and	CCONJ
sc-3023	49	14	fluid	fluid	ADJ
sc-3023	49	15	,	,	PUNCT
sc-3023	49	16	making	make	VERB
sc-3023	49	17	breathing	breathing	NOUN
sc-3023	49	18	difficult	difficult	ADJ
sc-3023	49	19	and	and	CCONJ
sc-3023	49	20	oxygen	oxygen	NOUN
sc-3023	49	21	intake	intake	NOUN
sc-3023	49	22	limited	limited	ADJ
sc-3023	49	23	.	.	PUNCT
sc-3023	50	1	pneumonia	pneumonia	NOUN
sc-3023	50	2	is	be	AUX
sc-3023	50	3	the	the	DET
sc-3023	50	4	leading	lead	VERB
sc-3023	50	5	infectious	infectious	ADJ
sc-3023	50	6	cause	cause	NOUN
sc-3023	50	7	of	of	ADP
sc-3023	50	8	death	death	NOUN
sc-3023	50	9	in	in	ADP
sc-3023	50	10	children	child	NOUN
sc-3023	50	11	worldwide	worldwide	ADV
sc-3023	50	12	.	.	PUNCT
sc-3023	51	1	pneumonia	pneumonia	NOUN
sc-3023	51	2	killed	kill	VERB
sc-3023	51	3	740	740	NUM
sc-3023	51	4	children	child	NOUN
sc-3023	51	5	under	under	ADP
sc-3023	51	6	the	the	DET
sc-3023	51	7	age	age	NOUN
sc-3023	51	8	of	of	ADP
sc-3023	51	9	five	five	NUM
sc-3023	51	10	in	in	ADP
sc-3023	51	11	2019	2019	NUM
sc-3023	51	12	,	,	PUNCT
sc-3023	51	13	accounting	account	VERB
sc-3023	51	14	for	for	ADP
sc-3023	51	15	14	14	NUM
sc-3023	51	16	%	%	NOUN
sc-3023	51	17	of	of	ADP
sc-3023	51	18	all	all	DET
sc-3023	51	19	deaths	death	NOUN
sc-3023	51	20	in	in	ADP
sc-3023	51	21	children	child	NOUN
sc-3023	51	22	under	under	ADP
sc-3023	51	23	the	the	DET
sc-3023	51	24	age	age	NOUN
sc-3023	51	25	of	of	ADP
sc-3023	51	26	five	five	NUM
sc-3023	51	27	but	but	CCONJ
sc-3023	51	28	22	22	NUM
sc-3023	51	29	%	%	NOUN
sc-3023	51	30	of	of	ADP
sc-3023	51	31	all	all	DET
sc-3023	51	32	deaths	death	NOUN
sc-3023	51	33	in	in	ADP
sc-3023	51	34	children	child	NOUN
sc-3023	51	35	aged	age	VERB
sc-3023	51	36	one	one	NUM
sc-3023	51	37	to	to	ADP
sc-3023	51	38	five	five	NUM
sc-3023	51	39	.	.	PUNCT
sc-3023	52	1	pneumonia	pneumonia	NOUN
sc-3023	52	2	affects	affect	VERB
sc-3023	52	3	children	child	NOUN
sc-3023	52	4	and	and	CCONJ
sc-3023	52	5	families	family	NOUN
sc-3023	52	6	all	all	ADV
sc-3023	52	7	throughout	throughout	ADP
sc-3023	52	8	the	the	DET
sc-3023	52	9	world	world	NOUN
sc-3023	52	10	,	,	PUNCT
sc-3023	52	11	with	with	ADP
sc-3023	52	12	the	the	DET
sc-3023	52	13	highest	high	ADJ
sc-3023	52	14	fatality	fatality	NOUN
sc-3023	52	15	rates	rate	NOUN
sc-3023	52	16	in	in	ADP
sc-3023	52	17	southern	southern	ADJ
sc-3023	52	18	asia	asia	PROPN
sc-3023	52	19	and	and	CCONJ
sc-3023	52	20	subsaharan	subsaharan	PROPN
sc-3023	52	21	africa	africa	PROPN
sc-3023	52	22	.	.	PUNCT
sc-3023	53	1	pneumonia	pneumonia	NOUN
sc-3023	53	2	in	in	ADP
sc-3023	53	3	children	child	NOUN
sc-3023	53	4	can	can	AUX
sc-3023	53	5	be	be	AUX
sc-3023	53	6	avoided	avoid	VERB
sc-3023	53	7	,	,	PUNCT
sc-3023	53	8	and	and	CCONJ
sc-3023	53	9	it	it	PRON
sc-3023	53	10	can	can	AUX
sc-3023	53	11	be	be	AUX
sc-3023	53	12	managed	manage	VERB
sc-3023	53	13	with	with	ADP
sc-3023	53	14	low	low	ADJ
sc-3023	53	15	-	-	PUNCT
sc-3023	53	16	cost	cost	NOUN
sc-3023	53	17	,	,	PUNCT
sc-3023	53	18	low	low	ADJ
sc-3023	53	19	-	-	PUNCT
sc-3023	53	20	tech	tech	NOUN
sc-3023	53	21	treatment	treatment	NOUN
sc-3023	53	22	and	and	CCONJ
sc-3023	53	23	care	care	VERB
sc-3023	53	24	[	[	X
sc-3023	53	25	5	5	NUM
sc-3023	53	26	]	]	PUNCT
sc-3023	53	27	.	.	PUNCT
sc-3023	54	1	using	use	VERB
sc-3023	54	2	past	past	NOUN
sc-3023	54	3	and	and	CCONJ
sc-3023	54	4	present	present	ADJ
sc-3023	54	5	data	datum	NOUN
sc-3023	54	6	,	,	PUNCT
sc-3023	54	7	time	time	NOUN
sc-3023	54	8	-	-	PUNCT
sc-3023	54	9	series	series	NOUN
sc-3023	54	10	forecasting	forecasting	NOUN
sc-3023	54	11	is	be	AUX
sc-3023	54	12	a	a	DET
sc-3023	54	13	way	way	NOUN
sc-3023	54	14	to	to	PART
sc-3023	54	15	predict	predict	VERB
sc-3023	54	16	future	future	ADJ
sc-3023	54	17	values	value	NOUN
sc-3023	54	18	over	over	ADP
sc-3023	54	19	time	time	NOUN
sc-3023	54	20	or	or	CCONJ
sc-3023	54	21	at	at	ADP
sc-3023	54	22	a	a	DET
sc-3023	54	23	single	single	ADJ
sc-3023	54	24	point	point	NOUN
sc-3023	54	25	in	in	ADP
sc-3023	54	26	time	time	NOUN
sc-3023	54	27	.	.	PUNCT
sc-3023	55	1	we	we	PRON
sc-3023	55	2	may	may	AUX
sc-3023	55	3	make	make	VERB
sc-3023	55	4	well	well	ADV
sc-3023	55	5	-	-	PUNCT
sc-3023	55	6	informed	inform	VERB
sc-3023	55	7	decisions	decision	NOUN
sc-3023	55	8	about	about	ADP
sc-3023	55	9	the	the	DET
sc-3023	55	10	ministry	ministry	PROPN
sc-3023	55	11	of	of	ADP
sc-3023	55	12	health	health	NOUN
sc-3023	55	13	's	's	PART
sc-3023	55	14	strategy	strategy	NOUN
sc-3023	55	15	and	and	CCONJ
sc-3023	55	16	future	future	ADJ
sc-3023	55	17	trends	trend	NOUN
sc-3023	55	18	by	by	ADP
sc-3023	55	19	looking	look	VERB
sc-3023	55	20	at	at	ADP
sc-3023	55	21	data	datum	NOUN
sc-3023	55	22	from	from	ADP
sc-3023	55	23	the	the	DET
sc-3023	55	24	past	past	NOUN
sc-3023	55	25	[	[	X
sc-3023	55	26	6	6	NUM
sc-3023	55	27	]	]	PUNCT
sc-3023	55	28	.	.	PUNCT
sc-3023	56	1	the	the	DET
sc-3023	56	2	autoregressive	autoregressive	ADJ
sc-3023	56	3	integrated	integrated	ADJ
sc-3023	56	4	moving	move	VERB
sc-3023	56	5	average	average	ADJ
sc-3023	56	6	(	(	PUNCT
sc-3023	56	7	arima	arima	NOUN
sc-3023	56	8	)	)	PUNCT
sc-3023	56	9	method	method	NOUN
sc-3023	56	10	is	be	AUX
sc-3023	56	11	a	a	DET
sc-3023	56	12	one	one	NUM
sc-3023	56	13	-	-	PUNCT
sc-3023	56	14	dimensional	dimensional	ADJ
sc-3023	56	15	technique	technique	NOUN
sc-3023	56	16	.	.	PUNCT
sc-3023	57	1	the	the	DET
sc-3023	57	2	ar	ar	PROPN
sc-3023	57	3	component	component	NOUN
sc-3023	57	4	,	,	PUNCT
sc-3023	57	5	often	often	ADV
sc-3023	57	6	known	know	VERB
sc-3023	57	7	as	as	ADP
sc-3023	57	8	p	p	PROPN
sc-3023	57	9	,	,	PUNCT
sc-3023	57	10	is	be	AUX
sc-3023	57	11	calculated	calculate	VERB
sc-3023	57	12	by	by	ADP
sc-3023	57	13	correlating	correlate	VERB
sc-3023	57	14	current	current	ADJ
sc-3023	57	15	values	value	NOUN
sc-3023	57	16	in	in	ADP
sc-3023	57	17	a	a	DET
sc-3023	57	18	data	data	NOUN
sc-3023	57	19	series	series	NOUN
sc-3023	57	20	with	with	ADP
sc-3023	57	21	past	past	ADJ
sc-3023	57	22	values	value	NOUN
sc-3023	57	23	in	in	ADP
sc-3023	57	24	the	the	DET
sc-3023	57	25	same	same	ADJ
sc-3023	57	26	series	series	NOUN
sc-3023	57	27	.	.	PUNCT
sc-3023	58	1	the	the	DET
sc-3023	58	2	ma	ma	PROPN
sc-3023	58	3	component	component	NOUN
sc-3023	58	4	,	,	PUNCT
sc-3023	58	5	q	q	X
sc-3023	58	6	,	,	PUNCT
sc-3023	58	7	is	be	AUX
sc-3023	58	8	obtained	obtain	VERB
sc-3023	58	9	by	by	ADP
sc-3023	58	10	associating	associate	VERB
sc-3023	58	11	current	current	ADJ
sc-3023	58	12	values	value	NOUN
sc-3023	58	13	of	of	ADP
sc-3023	58	14	a	a	DET
sc-3023	58	15	random	random	ADJ
sc-3023	58	16	error	error	NOUN
sc-3023	58	17	term	term	NOUN
sc-3023	58	18	with	with	ADP
sc-3023	58	19	prior	prior	ADJ
sc-3023	58	20	values	value	NOUN
sc-3023	58	21	.	.	PUNCT
sc-3023	59	1	current	current	ADJ
sc-3023	59	2	and	and	CCONJ
sc-3023	59	3	historical	historical	ADJ
sc-3023	59	4	data	datum	NOUN
sc-3023	59	5	mean	mean	VERB
sc-3023	59	6	and	and	CCONJ
sc-3023	59	7	variance	variance	NOUN
sc-3023	59	8	values	value	NOUN
sc-3023	59	9	are	be	AUX
sc-3023	59	10	thought	think	VERB
sc-3023	59	11	to	to	PART
sc-3023	59	12	be	be	AUX
sc-3023	59	13	steady	steady	ADJ
sc-3023	59	14	,	,	PUNCT
sc-3023	59	15	or	or	CCONJ
sc-3023	59	16	unaffected	unaffected	ADJ
sc-3023	59	17	,	,	PUNCT
sc-3023	59	18	over	over	ADP
sc-3023	59	19	time	time	NOUN
sc-3023	59	20	.	.	PUNCT
sc-3023	60	1	a	a	DET
sc-3023	60	2	component	component	NOUN
sc-3023	60	3	(	(	PUNCT
sc-3023	60	4	symbolized	symbolize	VERB
sc-3023	60	5	by	by	ADP
sc-3023	60	6	d	d	PROPN
sc-3023	60	7	)	)	PUNCT
sc-3023	60	8	is	be	AUX
sc-3023	60	9	included	include	VERB
sc-3023	60	10	if	if	SCONJ
sc-3023	60	11	necessary	necessary	ADJ
sc-3023	60	12	to	to	PART
sc-3023	60	13	compensate	compensate	VERB
sc-3023	60	14	for	for	ADP
sc-3023	60	15	a	a	DET
sc-3023	60	16	lack	lack	NOUN
sc-3023	60	17	of	of	ADP
sc-3023	60	18	stationarity	stationarity	NOUN
sc-3023	60	19	via	via	ADP
sc-3023	60	20	differencing	differencing	NOUN
sc-3023	60	21	.	.	PUNCT
sc-3023	61	1	in	in	ADP
sc-3023	61	2	a	a	DET
sc-3023	61	3	non	non	ADJ
sc-3023	61	4	-	-	ADJ
sc-3023	61	5	seasonal	seasonal	ADJ
sc-3023	61	6	arima	arima	NOUN
sc-3023	61	7	(	(	PUNCT
sc-3023	61	8	p	p	X
sc-3023	61	9	,	,	PUNCT
sc-3023	61	10	d	d	NOUN
sc-3023	61	11	,	,	PUNCT
sc-3023	61	12	q	q	NOUN
sc-3023	61	13	)	)	PUNCT
sc-3023	61	14	model	model	NOUN
sc-3023	61	15	,	,	PUNCT
sc-3023	61	16	the	the	DET
sc-3023	61	17	number	number	NOUN
sc-3023	61	18	or	or	CCONJ
sc-3023	61	19	order	order	NOUN
sc-3023	61	20	of	of	ADP
sc-3023	61	21	ar	ar	NOUN
sc-3023	61	22	terms	term	NOUN
sc-3023	61	23	is	be	AUX
sc-3023	61	24	denoted	denote	VERB
sc-3023	61	25	by	by	ADP
sc-3023	61	26	p	p	X
sc-3023	61	27	,	,	PUNCT
sc-3023	61	28	the	the	DET
sc-3023	61	29	number	number	NOUN
sc-3023	61	30	or	or	CCONJ
sc-3023	61	31	order	order	NOUN
sc-3023	61	32	of	of	ADP
sc-3023	61	33	differences	difference	NOUN
sc-3023	61	34	by	by	ADP
sc-3023	61	35	d	d	PROPN
sc-3023	61	36	,	,	PUNCT
sc-3023	61	37	and	and	CCONJ
sc-3023	61	38	the	the	DET
sc-3023	61	39	number	number	NOUN
sc-3023	61	40	or	or	CCONJ
sc-3023	61	41	order	order	NOUN
sc-3023	61	42	of	of	ADP
sc-3023	61	43	ma	ma	PROPN
sc-3023	61	44	terms	term	NOUN
sc-3023	61	45	by	by	ADP
sc-3023	61	46	q.	q.	PROPN
sc-3023	61	47	the	the	DET
sc-3023	61	48	parameters	parameter	NOUN
sc-3023	61	49	p	p	X
sc-3023	61	50	,	,	PUNCT
sc-3023	61	51	d	d	NOUN
sc-3023	61	52	,	,	PUNCT
sc-3023	61	53	and	and	CCONJ
sc-3023	61	54	q	q	NOUN
sc-3023	61	55	are	be	AUX
sc-3023	61	56	all	all	PRON
sc-3023	61	57	numbers	number	NOUN
sc-3023	61	58	that	that	PRON
sc-3023	61	59	are	be	AUX
sc-3023	61	60	bigger	big	ADJ
sc-3023	61	61	than	than	ADP
sc-3023	61	62	or	or	CCONJ
sc-3023	61	63	equal	equal	ADJ
sc-3023	61	64	to	to	ADP
sc-3023	61	65	0	0	NUM
sc-3023	62	1	[	[	X
sc-3023	62	2	7	7	NUM
sc-3023	62	3	]	]	PUNCT
sc-3023	62	4	.	.	PUNCT
sc-3023	63	1	fb	fb	X
sc-3023	63	2	-	-	PUNCT
sc-3023	63	3	prophet	prophet	NOUN
sc-3023	63	4	is	be	AUX
sc-3023	63	5	a	a	DET
sc-3023	63	6	time	time	NOUN
sc-3023	63	7	series	series	PROPN
sc-3023	63	8	data	data	PROPN
sc-3023	63	9	forecasting	forecasting	NOUN
sc-3023	63	10	method	method	NOUN
sc-3023	63	11	based	base	VERB
sc-3023	63	12	on	on	ADP
sc-3023	63	13	an	an	DET
sc-3023	63	14	additive	additive	ADJ
sc-3023	63	15	model	model	NOUN
sc-3023	63	16	that	that	PRON
sc-3023	63	17	takes	take	VERB
sc-3023	63	18	into	into	ADP
sc-3023	63	19	account	account	NOUN
sc-3023	63	20	yearly	yearly	ADV
sc-3023	63	21	,	,	PUNCT
sc-3023	63	22	monthly	monthly	ADJ
sc-3023	63	23	and	and	CCONJ
sc-3023	63	24	daily	daily	ADJ
sc-3023	63	25	seasonality	seasonality	NOUN
sc-3023	63	26	as	as	ADV
sc-3023	63	27	well	well	ADV
sc-3023	63	28	as	as	ADP
sc-3023	63	29	holiday	holiday	NOUN
sc-3023	63	30	factors	factor	NOUN
sc-3023	63	31	.	.	PUNCT
sc-3023	64	1	it	it	PRON
sc-3023	64	2	works	work	VERB
sc-3023	64	3	best	well	ADV
sc-3023	64	4	with	with	ADP
sc-3023	64	5	time	time	NOUN
sc-3023	64	6	series	series	NOUN
sc-3023	64	7	that	that	PRON
sc-3023	64	8	have	have	VERB
sc-3023	64	9	strong	strong	ADJ
sc-3023	64	10	seasonal	seasonal	ADJ
sc-3023	64	11	influences	influence	NOUN
sc-3023	64	12	and	and	CCONJ
sc-3023	64	13	data	datum	NOUN
sc-3023	64	14	from	from	ADP
sc-3023	64	15	multiple	multiple	ADJ
sc-3023	64	16	seasons	season	NOUN
sc-3023	64	17	.	.	PUNCT
sc-3023	65	1	prophet	prophet	NOUN
sc-3023	65	2	is	be	AUX
sc-3023	65	3	robust	robust	ADJ
sc-3023	65	4	to	to	ADP
sc-3023	65	5	missing	miss	VERB
sc-3023	65	6	data	datum	NOUN
sc-3023	65	7	and	and	CCONJ
sc-3023	65	8	trend	trend	NOUN
sc-3023	65	9	changes	change	NOUN
sc-3023	65	10	,	,	PUNCT
sc-3023	65	11	and	and	CCONJ
sc-3023	65	12	it	it	PRON
sc-3023	65	13	deals	deal	VERB
sc-3023	65	14	effectively	effectively	ADV
sc-3023	65	15	with	with	ADP
sc-3023	65	16	outliers	outlier	NOUN
sc-3023	65	17	[	[	X
sc-3023	65	18	8	8	NUM
sc-3023	65	19	]	]	PUNCT
sc-3023	65	20	.	.	PUNCT
sc-3023	66	1	this	this	DET
sc-3023	66	2	study	study	NOUN
sc-3023	66	3	presents	present	VERB
sc-3023	66	4	estimates	estimate	NOUN
sc-3023	66	5	of	of	ADP
sc-3023	66	6	malaria	malaria	NOUN
sc-3023	66	7	and	and	CCONJ
sc-3023	66	8	pneumonia	pneumonia	NOUN
sc-3023	66	9	as	as	ADP
sc-3023	66	10	common	common	ADJ
sc-3023	66	11	diseases	disease	NOUN
sc-3023	66	12	in	in	ADP
sc-3023	66	13	gedaref	gedaref	NOUN
sc-3023	66	14	state	state	NOUN
sc-3023	66	15	,	,	PUNCT
sc-3023	66	16	sudan	sudan	PROPN
sc-3023	66	17	,	,	PUNCT
sc-3023	66	18	five	five	NUM
sc-3023	66	19	months	month	NOUN
sc-3023	66	20	later	later	ADV
sc-3023	66	21	,	,	PUNCT
sc-3023	66	22	using	use	VERB
sc-3023	66	23	a	a	DET
sc-3023	66	24	time	time	NOUN
sc-3023	66	25	series	series	NOUN
sc-3023	66	26	method	method	NOUN
sc-3023	66	27	and	and	CCONJ
sc-3023	66	28	a	a	DET
sc-3023	66	29	dataset	dataset	NOUN
sc-3023	66	30	collected	collect	VERB
sc-3023	66	31	from	from	ADP
sc-3023	66	32	the	the	DET
sc-3023	66	33	state	state	NOUN
sc-3023	66	34	's	's	PART
sc-3023	66	35	ministry	ministry	PROPN
sc-3023	66	36	of	of	ADP
sc-3023	66	37	health	health	PROPN
sc-3023	66	38	.	.	PUNCT
sc-3023	67	1	to	to	PART
sc-3023	67	2	comprehend	comprehend	VERB
sc-3023	67	3	the	the	DET
sc-3023	67	4	overall	overall	ADJ
sc-3023	67	5	number	number	NOUN
sc-3023	67	6	of	of	ADP
sc-3023	67	7	cases	case	NOUN
sc-3023	67	8	of	of	ADP
sc-3023	67	9	diseases	disease	NOUN
sc-3023	67	10	,	,	PUNCT
sc-3023	67	11	two	two	NUM
sc-3023	67	12	forecasting	forecasting	NOUN
sc-3023	67	13	methodologies	methodology	NOUN
sc-3023	67	14	,	,	PUNCT
sc-3023	67	15	namely	namely	ADV
sc-3023	67	16	the	the	DET
sc-3023	67	17	arima	arima	NOUN
sc-3023	67	18	and	and	CCONJ
sc-3023	67	19	prophet	prophet	NOUN
sc-3023	67	20	models	model	NOUN
sc-3023	67	21	,	,	PUNCT
sc-3023	67	22	are	be	AUX
sc-3023	67	23	applied	apply	VERB
sc-3023	67	24	to	to	ADP
sc-3023	67	25	the	the	DET
sc-3023	67	26	disease	disease	NOUN
sc-3023	67	27	's	's	PART
sc-3023	67	28	dataset	dataset	NOUN
sc-3023	67	29	.	.	PUNCT
sc-3023	68	1	the	the	DET
sc-3023	68	2	performance	performance	NOUN
sc-3023	68	3	of	of	ADP
sc-3023	68	4	the	the	DET
sc-3023	68	5	arima	arima	NOUN
sc-3023	68	6	and	and	CCONJ
sc-3023	68	7	fb	fb	ADJ
sc-3023	68	8	-	-	PUNCT
sc-3023	68	9	prophet	prophet	NOUN
sc-3023	68	10	forecasting	forecasting	NOUN
sc-3023	68	11	systems	system	NOUN
sc-3023	68	12	in	in	ADP
sc-3023	68	13	predicting	predict	VERB
sc-3023	68	14	malaria	malaria	NOUN
sc-3023	68	15	and	and	CCONJ
sc-3023	68	16	pneumonia	pneumonia	NOUN
sc-3023	68	17	diseases	disease	NOUN
sc-3023	68	18	in	in	ADP
sc-3023	68	19	gedaref	gedaref	NOUN
sc-3023	68	20	state	state	NOUN
sc-3023	68	21	is	be	AUX
sc-3023	68	22	compared	compare	VERB
sc-3023	68	23	in	in	ADP
sc-3023	68	24	this	this	DET
sc-3023	68	25	study	study	NOUN
sc-3023	68	26	.	.	PUNCT
sc-3023	69	1	the	the	DET
sc-3023	69	2	data	datum	NOUN
sc-3023	69	3	was	be	AUX
sc-3023	69	4	collected	collect	VERB
sc-3023	69	5	from	from	ADP
sc-3023	69	6	the	the	DET
sc-3023	69	7	state	state	NOUN
sc-3023	69	8	's	's	PART
sc-3023	69	9	ministry	ministry	PROPN
sc-3023	69	10	of	of	ADP
sc-3023	69	11	health	health	PROPN
sc-3023	69	12	between	between	ADP
sc-3023	69	13	january	january	PROPN
sc-3023	69	14	2017	2017	NUM
sc-3023	69	15	and	and	CCONJ
sc-3023	69	16	december	december	PROPN
sc-3023	69	17	2021	2021	NUM
sc-3023	69	18	.	.	PUNCT
sc-3023	70	1	although	although	SCONJ
sc-3023	70	2	there	there	PRON
sc-3023	70	3	are	be	VERB
sc-3023	70	4	several	several	ADJ
sc-3023	70	5	predicting	predict	VERB
sc-3023	70	6	studies	study	NOUN
sc-3023	70	7	in	in	ADP
sc-3023	70	8	the	the	DET
sc-3023	70	9	literature	literature	NOUN
sc-3023	70	10	,	,	PUNCT
sc-3023	70	11	we	we	PRON
sc-3023	70	12	could	could	AUX
sc-3023	70	13	not	not	PART
sc-3023	70	14	find	find	VERB
sc-3023	70	15	much	much	ADJ
sc-3023	70	16	that	that	PRON
sc-3023	70	17	compares	compare	VERB
sc-3023	70	18	arima	arima	NOUN
sc-3023	70	19	and	and	CCONJ
sc-3023	70	20	prophet	prophet	NOUN
sc-3023	70	21	time	time	PROPN
sc-3023	70	22	series	series	PROPN
sc-3023	70	23	eai	eai	PROPN
sc-3023	70	24	endorsed	endorse	VERB
sc-3023	70	25	transactions	transaction	NOUN
sc-3023	70	26	on	on	ADP
sc-3023	70	27	smart	smart	ADJ
sc-3023	70	28	cities	city	NOUN
sc-3023	70	29	|	|	ADV
sc-3023	70	30	volume	volume	VERB
sc-3023	70	31	7	7	NUM
sc-3023	70	32	|	|	NOUN
sc-3023	70	33	issue	issue	NOUN
sc-3023	70	34	2	2	NUM
sc-3023	70	35	|	|	NOUN
sc-3023	70	36	performance	performance	NOUN
sc-3023	70	37	evaluation	evaluation	NOUN
sc-3023	70	38	of	of	ADP
sc-3023	70	39	arima	arima	PROPN
sc-3023	70	40	and	and	CCONJ
sc-3023	70	41	fb	fb	ADJ
sc-3023	70	42	-	-	PUNCT
sc-3023	70	43	prophet	prophet	NOUN
sc-3023	70	44	forecasting	forecasting	NOUN
sc-3023	70	45	methods	method	NOUN
sc-3023	70	46	in	in	ADP
sc-3023	70	47	the	the	DET
sc-3023	70	48	context	context	NOUN
sc-3023	70	49	of	of	ADP
sc-3023	70	50	endemic	endemic	ADJ
sc-3023	70	51	diseases	disease	NOUN
sc-3023	70	52	:	:	PUNCT
sc-3023	70	53	a	a	DET
sc-3023	70	54	case	case	NOUN
sc-3023	70	55	study	study	NOUN
sc-3023	70	56	of	of	ADP
sc-3023	70	57	gedaref	gedaref	NOUN
sc-3023	70	58	state	state	NOUN
sc-3023	70	59	in	in	ADP
sc-3023	70	60	sudan	sudan	PROPN
sc-3023	70	61	3	3	NUM
sc-3023	70	62	models	model	NOUN
sc-3023	70	63	at	at	ADP
sc-3023	70	64	the	the	DET
sc-3023	70	65	same	same	ADJ
sc-3023	70	66	time	time	NOUN
sc-3023	70	67	to	to	PART
sc-3023	70	68	compare	compare	VERB
sc-3023	70	69	and	and	CCONJ
sc-3023	70	70	analyze	analyze	VERB
sc-3023	70	71	the	the	DET
sc-3023	70	72	malaria	malaria	NOUN
sc-3023	70	73	and	and	CCONJ
sc-3023	70	74	pneumonia	pneumonia	NOUN
sc-3023	70	75	datasets	dataset	NOUN
sc-3023	70	76	.	.	PUNCT
sc-3023	71	1	to	to	ADP
sc-3023	71	2	the	the	DET
sc-3023	71	3	best	good	ADJ
sc-3023	71	4	of	of	ADP
sc-3023	71	5	our	our	PRON
sc-3023	71	6	knowledge	knowledge	NOUN
sc-3023	71	7	,	,	PUNCT
sc-3023	71	8	the	the	DET
sc-3023	71	9	dataset	dataset	NOUN
sc-3023	71	10	investigated	investigate	VERB
sc-3023	71	11	in	in	ADP
sc-3023	71	12	all	all	PRON
sc-3023	71	13	of	of	ADP
sc-3023	71	14	the	the	DET
sc-3023	71	15	studies	study	NOUN
sc-3023	71	16	listed	list	VERB
sc-3023	71	17	below	below	ADV
sc-3023	71	18	was	be	AUX
sc-3023	71	19	limited	limit	VERB
sc-3023	71	20	to	to	ADP
sc-3023	71	21	certain	certain	ADJ
sc-3023	71	22	commodities	commodity	NOUN
sc-3023	71	23	or	or	CCONJ
sc-3023	71	24	places	place	NOUN
sc-3023	71	25	.	.	PUNCT
sc-3023	72	1	unlike	unlike	ADP
sc-3023	72	2	prior	prior	ADJ
sc-3023	72	3	studies	study	NOUN
sc-3023	72	4	that	that	PRON
sc-3023	72	5	focused	focus	VERB
sc-3023	72	6	on	on	ADP
sc-3023	72	7	a	a	DET
sc-3023	72	8	specific	specific	ADJ
sc-3023	72	9	condition	condition	NOUN
sc-3023	72	10	,	,	PUNCT
sc-3023	72	11	this	this	DET
sc-3023	72	12	one	one	NOUN
sc-3023	72	13	looked	look	VERB
sc-3023	72	14	at	at	ADP
sc-3023	72	15	a	a	DET
sc-3023	72	16	number	number	NOUN
sc-3023	72	17	of	of	ADP
sc-3023	72	18	them	they	PRON
sc-3023	72	19	.	.	PUNCT
sc-3023	73	1	furthermore	furthermore	ADV
sc-3023	73	2	,	,	PUNCT
sc-3023	73	3	the	the	DET
sc-3023	73	4	most	most	ADV
sc-3023	73	5	popular	popular	ADJ
sc-3023	73	6	forecasting	forecasting	NOUN
sc-3023	73	7	approaches	approach	NOUN
sc-3023	73	8	have	have	AUX
sc-3023	73	9	been	be	AUX
sc-3023	73	10	used	use	VERB
sc-3023	73	11	for	for	ADP
sc-3023	73	12	completeness	completeness	NOUN
sc-3023	73	13	.	.	PUNCT
sc-3023	74	1	the	the	DET
sc-3023	74	2	rest	rest	NOUN
sc-3023	74	3	of	of	ADP
sc-3023	74	4	the	the	DET
sc-3023	74	5	paper	paper	NOUN
sc-3023	74	6	is	be	AUX
sc-3023	74	7	structured	structure	VERB
sc-3023	74	8	as	as	SCONJ
sc-3023	74	9	follows	follow	VERB
sc-3023	74	10	:	:	PUNCT
sc-3023	74	11	section	section	NOUN
sc-3023	74	12	2	2	NUM
sc-3023	74	13	presents	present	VERB
sc-3023	74	14	the	the	DET
sc-3023	74	15	related	related	ADJ
sc-3023	74	16	work	work	NOUN
sc-3023	74	17	.	.	PUNCT
sc-3023	75	1	section	section	NOUN
sc-3023	75	2	3	3	NUM
sc-3023	75	3	describes	describe	VERB
sc-3023	75	4	the	the	DET
sc-3023	75	5	dataset	dataset	NOUN
sc-3023	75	6	and	and	CCONJ
sc-3023	75	7	methodology	methodology	NOUN
sc-3023	75	8	used	use	VERB
sc-3023	75	9	.	.	PUNCT
sc-3023	76	1	section	section	NOUN
sc-3023	76	2	4	4	NUM
sc-3023	76	3	shows	show	VERB
sc-3023	76	4	the	the	DET
sc-3023	76	5	results	result	NOUN
sc-3023	76	6	of	of	ADP
sc-3023	76	7	the	the	DET
sc-3023	76	8	methods	method	NOUN
sc-3023	76	9	employed	employ	VERB
sc-3023	76	10	and	and	CCONJ
sc-3023	76	11	investigates	investigate	VERB
sc-3023	76	12	the	the	DET
sc-3023	76	13	outcomes	outcome	NOUN
sc-3023	76	14	of	of	ADP
sc-3023	76	15	various	various	ADJ
sc-3023	76	16	methods	method	NOUN
sc-3023	76	17	.	.	PUNCT
sc-3023	77	1	section	section	NOUN
sc-3023	77	2	5	5	NUM
sc-3023	77	3	discusses	discuss	VERB
sc-3023	77	4	the	the	DET
sc-3023	77	5	findings	finding	NOUN
sc-3023	77	6	.	.	PUNCT
sc-3023	78	1	section	section	NOUN
sc-3023	78	2	6	6	NUM
sc-3023	78	3	concludes	conclude	VERB
sc-3023	78	4	the	the	DET
sc-3023	78	5	paper	paper	NOUN
sc-3023	78	6	.	.	PUNCT
sc-3023	79	1	2	2	X
sc-3023	79	2	.	.	X
sc-3023	79	3	related	relate	VERB
sc-3023	79	4	work	work	NOUN
sc-3023	79	5	this	this	DET
sc-3023	79	6	section	section	NOUN
sc-3023	79	7	provides	provide	VERB
sc-3023	79	8	a	a	DET
sc-3023	79	9	summary	summary	NOUN
sc-3023	79	10	of	of	ADP
sc-3023	79	11	the	the	DET
sc-3023	79	12	most	most	ADV
sc-3023	79	13	relevant	relevant	ADJ
sc-3023	79	14	papers	paper	NOUN
sc-3023	79	15	on	on	ADP
sc-3023	79	16	the	the	DET
sc-3023	79	17	application	application	NOUN
sc-3023	79	18	of	of	ADP
sc-3023	79	19	arima	arima	PROPN
sc-3023	79	20	and	and	CCONJ
sc-3023	79	21	fb	fb	NOUN
sc-3023	79	22	-	-	PUNCT
sc-3023	79	23	prophet	prophet	NOUN
sc-3023	79	24	in	in	ADP
sc-3023	79	25	epidemiology	epidemiology	NOUN
sc-3023	79	26	.	.	PUNCT
sc-3023	80	1	ersoz	ersoz	PROPN
sc-3023	80	2	et	et	PROPN
sc-3023	80	3	al	al	PROPN
sc-3023	80	4	.	.	PUNCT
sc-3023	81	1	[	[	X
sc-3023	81	2	9	9	NUM
sc-3023	81	3	]	]	PUNCT
sc-3023	81	4	compare	compare	VERB
sc-3023	81	5	the	the	DET
sc-3023	81	6	accuracy	accuracy	NOUN
sc-3023	81	7	of	of	ADP
sc-3023	81	8	arima	arima	PROPN
sc-3023	81	9	,	,	PUNCT
sc-3023	81	10	prophet	prophet	NOUN
sc-3023	81	11	,	,	PUNCT
sc-3023	81	12	and	and	CCONJ
sc-3023	81	13	holtwinters	holtwinter	NOUN
sc-3023	81	14	exponential	exponential	ADJ
sc-3023	81	15	smoothing	smooth	VERB
sc-3023	81	16	forecasting	forecasting	NOUN
sc-3023	81	17	algorithms	algorithm	NOUN
sc-3023	81	18	for	for	ADP
sc-3023	81	19	covid-19	covid-19	PROPN
sc-3023	81	20	disease	disease	NOUN
sc-3023	81	21	epidemiology	epidemiology	NOUN
sc-3023	81	22	in	in	ADP
sc-3023	81	23	europe	europe	PROPN
sc-3023	81	24	.	.	PUNCT
sc-3023	82	1	the	the	DET
sc-3023	82	2	dataset	dataset	NOUN
sc-3023	82	3	was	be	AUX
sc-3023	82	4	obtained	obtain	VERB
sc-3023	82	5	from	from	ADP
sc-3023	82	6	the	the	DET
sc-3023	82	7	world	world	PROPN
sc-3023	82	8	health	health	NOUN
sc-3023	82	9	organization	organization	NOUN
sc-3023	82	10	(	(	PUNCT
sc-3023	82	11	who	who	PRON
sc-3023	82	12	)	)	PUNCT
sc-3023	82	13	and	and	CCONJ
sc-3023	82	14	comprises	comprise	VERB
sc-3023	82	15	covid-19	covid-19	PROPN
sc-3023	82	16	case	case	NOUN
sc-3023	82	17	data	datum	NOUN
sc-3023	82	18	from	from	ADP
sc-3023	82	19	european	european	ADJ
sc-3023	82	20	countries	country	NOUN
sc-3023	82	21	classified	classify	VERB
sc-3023	82	22	by	by	ADP
sc-3023	82	23	the	the	DET
sc-3023	82	24	who	who	PRON
sc-3023	82	25	between	between	ADP
sc-3023	82	26	2020	2020	NUM
sc-3023	82	27	and	and	CCONJ
sc-3023	82	28	2022	2022	NUM
sc-3023	82	29	.	.	PUNCT
sc-3023	83	1	the	the	DET
sc-3023	83	2	results	result	NOUN
sc-3023	83	3	show	show	VERB
sc-3023	83	4	that	that	SCONJ
sc-3023	83	5	the	the	DET
sc-3023	83	6	holt	holt	PROPN
sc-3023	83	7	-	-	PUNCT
sc-3023	83	8	winters	winters	PROPN
sc-3023	83	9	exponential	exponential	ADJ
sc-3023	83	10	smoothing	smooth	VERB
sc-3023	83	11	approach	approach	NOUN
sc-3023	83	12	(	(	PUNCT
sc-3023	83	13	rmse	rmse	NOUN
sc-3023	83	14	:	:	PUNCT
sc-3023	83	15	0.2080	0.2080	NUM
sc-3023	83	16	,	,	PUNCT
sc-3023	83	17	mae	mae	PROPN
sc-3023	83	18	:	:	PUNCT
sc-3023	83	19	0.1747	0.1747	NUM
sc-3023	83	20	)	)	PUNCT
sc-3023	83	21	outperforms	outperform	VERB
sc-3023	83	22	the	the	DET
sc-3023	83	23	arima	arima	NOUN
sc-3023	83	24	and	and	CCONJ
sc-3023	83	25	prophet	prophet	NOUN
sc-3023	83	26	forecasting	forecasting	NOUN
sc-3023	83	27	methods	method	NOUN
sc-3023	83	28	;	;	PUNCT
sc-3023	83	29	the	the	DET
sc-3023	83	30	study	study	NOUN
sc-3023	83	31	's	's	PART
sc-3023	83	32	main	main	ADJ
sc-3023	83	33	weakness	weakness	NOUN
sc-3023	83	34	is	be	AUX
sc-3023	83	35	the	the	DET
sc-3023	83	36	limited	limited	ADJ
sc-3023	83	37	amount	amount	NOUN
sc-3023	83	38	of	of	ADP
sc-3023	83	39	available	available	ADJ
sc-3023	83	40	data	datum	NOUN
sc-3023	83	41	.	.	PUNCT
sc-3023	84	1	ziyuan	ziyuan	PROPN
sc-3023	84	2	ye	ye	PRON
sc-3023	84	3	et	et	PROPN
sc-3023	84	4	al	al	PROPN
sc-3023	84	5	.	.	PUNCT
sc-3023	85	1	[	[	X
sc-3023	85	2	10	10	NUM
sc-3023	85	3	]	]	PUNCT
sc-3023	85	4	made	make	VERB
sc-3023	85	5	a	a	DET
sc-3023	85	6	hybrid	hybrid	ADJ
sc-3023	85	7	model	model	NOUN
sc-3023	85	8	to	to	PART
sc-3023	85	9	predict	predict	VERB
sc-3023	85	10	how	how	SCONJ
sc-3023	85	11	dirty	dirty	ADJ
sc-3023	85	12	the	the	DET
sc-3023	85	13	air	air	NOUN
sc-3023	85	14	will	will	AUX
sc-3023	85	15	be	be	AUX
sc-3023	85	16	in	in	ADP
sc-3023	85	17	shenzhen	shenzhen	PROPN
sc-3023	85	18	,	,	PUNCT
sc-3023	85	19	china	china	PROPN
sc-3023	85	20	.	.	PUNCT
sc-3023	86	1	for	for	ADP
sc-3023	86	2	blending	blend	VERB
sc-3023	86	3	time	time	NOUN
sc-3023	86	4	and	and	CCONJ
sc-3023	86	5	space	space	NOUN
sc-3023	86	6	relationships	relationship	NOUN
sc-3023	86	7	,	,	PUNCT
sc-3023	86	8	it	it	PRON
sc-3023	86	9	is	be	AUX
sc-3023	86	10	based	base	VERB
sc-3023	86	11	on	on	ADP
sc-3023	86	12	arima	arima	PROPN
sc-3023	86	13	(	(	PUNCT
sc-3023	86	14	the	the	DET
sc-3023	86	15	auto	auto	NOUN
sc-3023	86	16	-	-	PUNCT
sc-3023	86	17	regressive	regressive	ADJ
sc-3023	86	18	integrated	integrated	ADJ
sc-3023	86	19	moving	move	VERB
sc-3023	86	20	average	average	ADJ
sc-3023	86	21	model	model	NOUN
sc-3023	86	22	)	)	PUNCT
sc-3023	86	23	and	and	CCONJ
sc-3023	86	24	prophet	prophet	NOUN
sc-3023	86	25	.	.	PUNCT
sc-3023	87	1	after	after	ADP
sc-3023	87	2	training	train	VERB
sc-3023	87	3	their	their	PRON
sc-3023	87	4	models	model	NOUN
sc-3023	87	5	with	with	ADP
sc-3023	87	6	data	datum	NOUN
sc-3023	87	7	from	from	ADP
sc-3023	87	8	11	11	NUM
sc-3023	87	9	sites	site	NOUN
sc-3023	87	10	that	that	PRON
sc-3023	87	11	measure	measure	VERB
sc-3023	87	12	air	air	NOUN
sc-3023	87	13	quality	quality	NOUN
sc-3023	87	14	,	,	PUNCT
sc-3023	87	15	the	the	DET
sc-3023	87	16	researchers	researcher	NOUN
sc-3023	87	17	gave	give	VERB
sc-3023	87	18	their	their	PRON
sc-3023	87	19	models	model	NOUN
sc-3023	87	20	weights	weight	NOUN
sc-3023	87	21	.	.	PUNCT
sc-3023	88	1	experiment	experiment	NOUN
sc-3023	88	2	results	result	NOUN
sc-3023	88	3	demonstrated	demonstrate	VERB
sc-3023	88	4	that	that	SCONJ
sc-3023	88	5	this	this	DET
sc-3023	88	6	hybrid	hybrid	ADJ
sc-3023	88	7	technique	technique	NOUN
sc-3023	88	8	can	can	AUX
sc-3023	88	9	improve	improve	VERB
sc-3023	88	10	air	air	NOUN
sc-3023	88	11	pollutant	pollutant	ADJ
sc-3023	88	12	prediction	prediction	NOUN
sc-3023	88	13	in	in	ADP
sc-3023	88	14	shenzhen	shenzhen	PROPN
sc-3023	88	15	.	.	PUNCT
sc-3023	89	1	in	in	ADP
sc-3023	89	2	certain	certain	ADJ
sc-3023	89	3	ways	way	NOUN
sc-3023	89	4	,	,	PUNCT
sc-3023	89	5	arima	arima	PROPN
sc-3023	89	6	is	be	AUX
sc-3023	89	7	more	more	ADV
sc-3023	89	8	accurate	accurate	ADJ
sc-3023	89	9	than	than	ADP
sc-3023	89	10	prophet	prophet	NOUN
sc-3023	89	11	,	,	PUNCT
sc-3023	89	12	but	but	CCONJ
sc-3023	89	13	it	it	PRON
sc-3023	89	14	takes	take	VERB
sc-3023	89	15	10	10	NUM
sc-3023	89	16	times	time	NOUN
sc-3023	89	17	as	as	ADV
sc-3023	89	18	long	long	ADV
sc-3023	89	19	as	as	SCONJ
sc-3023	89	20	b.	b.	PROPN
sc-3023	89	21	the	the	DET
sc-3023	89	22	majority	majority	NOUN
sc-3023	89	23	of	of	ADP
sc-3023	89	24	arima	arima	PROPN
sc-3023	89	25	's	's	PART
sc-3023	89	26	computation	computation	NOUN
sc-3023	89	27	time	time	NOUN
sc-3023	89	28	is	be	AUX
sc-3023	89	29	spent	spend	VERB
sc-3023	89	30	seeking	seek	VERB
sc-3023	89	31	for	for	ADP
sc-3023	89	32	the	the	DET
sc-3023	89	33	best	good	ADJ
sc-3023	89	34	sequence	sequence	NOUN
sc-3023	89	35	of	of	ADP
sc-3023	89	36	(	(	PUNCT
sc-3023	89	37	p	p	X
sc-3023	89	38	,	,	PUNCT
sc-3023	89	39	d	d	NOUN
sc-3023	89	40	,	,	PUNCT
sc-3023	89	41	q	q	NOUN
sc-3023	89	42	)	)	PUNCT
sc-3023	89	43	and	and	CCONJ
sc-3023	89	44	(	(	PUNCT
sc-3023	89	45	p	p	X
sc-3023	89	46	,	,	PUNCT
sc-3023	89	47	d	d	NOUN
sc-3023	89	48	,	,	PUNCT
sc-3023	89	49	q	q	ADJ
sc-3023	89	50	,	,	PUNCT
sc-3023	89	51	s	s	NOUN
sc-3023	89	52	)	)	PUNCT
sc-3023	89	53	.	.	PUNCT
sc-3023	90	1	kumar	kumar	PROPN
sc-3023	90	2	et	et	PROPN
sc-3023	90	3	al	al	PROPN
sc-3023	90	4	.	.	PUNCT
sc-3023	91	1	[	[	X
sc-3023	91	2	11	11	NUM
sc-3023	91	3	]	]	PUNCT
sc-3023	91	4	suggested	suggest	VERB
sc-3023	91	5	that	that	SCONJ
sc-3023	91	6	data	datum	NOUN
sc-3023	91	7	from	from	ADP
sc-3023	91	8	supermarkets	supermarket	NOUN
sc-3023	91	9	be	be	AUX
sc-3023	91	10	used	use	VERB
sc-3023	91	11	to	to	PART
sc-3023	91	12	make	make	VERB
sc-3023	91	13	an	an	DET
sc-3023	91	14	fb	fb	ADJ
sc-3023	91	15	prophet	prophet	NOUN
sc-3023	91	16	tool	tool	NOUN
sc-3023	91	17	that	that	PRON
sc-3023	91	18	can	can	AUX
sc-3023	91	19	predict	predict	VERB
sc-3023	91	20	how	how	SCONJ
sc-3023	91	21	much	much	ADJ
sc-3023	91	22	food	food	NOUN
sc-3023	91	23	will	will	AUX
sc-3023	91	24	be	be	AUX
sc-3023	91	25	sold	sell	VERB
sc-3023	91	26	.	.	PUNCT
sc-3023	92	1	in	in	ADP
sc-3023	92	2	the	the	DET
sc-3023	92	3	proposed	propose	VERB
sc-3023	92	4	study	study	NOUN
sc-3023	92	5	,	,	PUNCT
sc-3023	92	6	many	many	ADJ
sc-3023	92	7	forecasting	forecasting	NOUN
sc-3023	92	8	models	model	NOUN
sc-3023	92	9	,	,	PUNCT
sc-3023	92	10	such	such	ADJ
sc-3023	92	11	as	as	ADP
sc-3023	92	12	the	the	DET
sc-3023	92	13	additive	additive	ADJ
sc-3023	92	14	model	model	NOUN
sc-3023	92	15	,	,	PUNCT
sc-3023	92	16	the	the	DET
sc-3023	92	17	autoregressive	autoregressive	ADJ
sc-3023	92	18	integrated	integrated	ADJ
sc-3023	92	19	moving	move	VERB
sc-3023	92	20	average	average	ADJ
sc-3023	92	21	(	(	PUNCT
sc-3023	92	22	arima	arima	PROPN
sc-3023	92	23	)	)	PUNCT
sc-3023	92	24	model	model	NOUN
sc-3023	92	25	,	,	PUNCT
sc-3023	92	26	and	and	CCONJ
sc-3023	92	27	the	the	DET
sc-3023	92	28	fb	fb	ADJ
sc-3023	92	29	prophet	prophet	NOUN
sc-3023	92	30	model	model	PROPN
sc-3023	92	31	,	,	PUNCT
sc-3023	92	32	were	be	AUX
sc-3023	92	33	looked	look	VERB
sc-3023	92	34	at	at	ADP
sc-3023	92	35	.	.	PUNCT
sc-3023	93	1	according	accord	VERB
sc-3023	93	2	to	to	ADP
sc-3023	93	3	the	the	DET
sc-3023	93	4	proposed	propose	VERB
sc-3023	93	5	research	research	NOUN
sc-3023	93	6	effort	effort	NOUN
sc-3023	93	7	,	,	PUNCT
sc-3023	93	8	fb	fb	DET
sc-3023	93	9	prophet	prophet	NOUN
sc-3023	93	10	is	be	AUX
sc-3023	93	11	a	a	DET
sc-3023	93	12	better	well	ADJ
sc-3023	93	13	prediction	prediction	NOUN
sc-3023	93	14	model	model	NOUN
sc-3023	93	15	in	in	ADP
sc-3023	93	16	terms	term	NOUN
sc-3023	93	17	of	of	ADP
sc-3023	93	18	low	low	ADJ
sc-3023	93	19	error	error	NOUN
sc-3023	93	20	,	,	PUNCT
sc-3023	93	21	better	well	ADJ
sc-3023	93	22	prediction	prediction	NOUN
sc-3023	93	23	,	,	PUNCT
sc-3023	93	24	and	and	CCONJ
sc-3023	93	25	better	well	ADV
sc-3023	93	26	fitting	fitting	ADJ
sc-3023	93	27	.	.	PUNCT
sc-3023	94	1	the	the	DET
sc-3023	94	2	statistical	statistical	ADJ
sc-3023	94	3	approaches	approach	NOUN
sc-3023	94	4	given	give	VERB
sc-3023	94	5	by	by	ADP
sc-3023	94	6	sirisha	sirisha	PROPN
sc-3023	94	7	et	et	PROPN
sc-3023	94	8	al	al	PROPN
sc-3023	94	9	.	.	PUNCT
sc-3023	95	1	[	[	X
sc-3023	95	2	12	12	NUM
sc-3023	95	3	]	]	PUNCT
sc-3023	95	4	for	for	ADP
sc-3023	95	5	this	this	DET
sc-3023	95	6	successful	successful	ADJ
sc-3023	95	7	inquiry	inquiry	NOUN
sc-3023	95	8	,	,	PUNCT
sc-3023	95	9	the	the	DET
sc-3023	95	10	autoregressive	autoregressive	ADJ
sc-3023	95	11	integrated	integrated	ADJ
sc-3023	95	12	moving	move	VERB
sc-3023	95	13	average	average	ADJ
sc-3023	95	14	(	(	PUNCT
sc-3023	95	15	arima	arima	NOUN
sc-3023	95	16	)	)	PUNCT
sc-3023	95	17	and	and	CCONJ
sc-3023	95	18	seasonal	seasonal	ADJ
sc-3023	95	19	arima	arima	NOUN
sc-3023	95	20	models	model	NOUN
sc-3023	95	21	(	(	PUNCT
sc-3023	95	22	sarima	sarima	NOUN
sc-3023	95	23	)	)	PUNCT
sc-3023	95	24	,	,	PUNCT
sc-3023	95	25	as	as	ADV
sc-3023	95	26	well	well	ADV
sc-3023	95	27	as	as	ADP
sc-3023	95	28	the	the	DET
sc-3023	95	29	deep	deep	ADJ
sc-3023	95	30	learning	learning	NOUN
sc-3023	95	31	technique	technique	NOUN
sc-3023	95	32	of	of	ADP
sc-3023	95	33	long	long	ADJ
sc-3023	95	34	short	short	ADJ
sc-3023	95	35	-	-	PUNCT
sc-3023	95	36	term	term	NOUN
sc-3023	95	37	memory	memory	NOUN
sc-3023	95	38	(	(	PUNCT
sc-3023	95	39	lstm	lstm	ADJ
sc-3023	95	40	)	)	PUNCT
sc-3023	95	41	neural	neural	ADJ
sc-3023	95	42	network	network	NOUN
sc-3023	95	43	modeling	modeling	NOUN
sc-3023	95	44	in	in	ADP
sc-3023	95	45	time	time	NOUN
sc-3023	95	46	series	series	PROPN
sc-3023	95	47	forecasting	forecasting	PROPN
sc-3023	95	48	,	,	PUNCT
sc-3023	95	49	were	be	AUX
sc-3023	95	50	applied	apply	VERB
sc-3023	95	51	.	.	PUNCT
sc-3023	96	1	it	it	PRON
sc-3023	96	2	was	be	AUX
sc-3023	96	3	converted	convert	VERB
sc-3023	96	4	into	into	ADP
sc-3023	96	5	a	a	DET
sc-3023	96	6	stationary	stationary	ADJ
sc-3023	96	7	dataset	dataset	NOUN
sc-3023	96	8	for	for	ADP
sc-3023	96	9	arima	arima	NOUN
sc-3023	96	10	but	but	CCONJ
sc-3023	96	11	not	not	PART
sc-3023	96	12	sarima	sarima	NOUN
sc-3023	96	13	or	or	CCONJ
sc-3023	96	14	lstm	lstm	NOUN
sc-3023	96	15	.	.	PUNCT
sc-3023	97	1	based	base	VERB
sc-3023	97	2	on	on	ADP
sc-3023	97	3	test	test	NOUN
sc-3023	97	4	data	datum	NOUN
sc-3023	97	5	,	,	PUNCT
sc-3023	97	6	fitted	fit	VERB
sc-3023	97	7	models	model	NOUN
sc-3023	97	8	were	be	AUX
sc-3023	97	9	constructed	construct	VERB
sc-3023	97	10	and	and	CCONJ
sc-3023	97	11	utilized	utilize	VERB
sc-3023	97	12	to	to	PART
sc-3023	97	13	forecast	forecast	VERB
sc-3023	97	14	profit	profit	NOUN
sc-3023	97	15	.	.	PUNCT
sc-3023	98	1	forecasts	forecast	NOUN
sc-3023	98	2	for	for	ADP
sc-3023	98	3	the	the	DET
sc-3023	98	4	next	next	ADJ
sc-3023	98	5	five	five	NUM
sc-3023	98	6	years	year	NOUN
sc-3023	98	7	have	have	AUX
sc-3023	98	8	been	be	AUX
sc-3023	98	9	completed	complete	VERB
sc-3023	98	10	with	with	ADP
sc-3023	98	11	93.84	93.84	NUM
sc-3023	98	12	%	%	NOUN
sc-3023	98	13	(	(	PUNCT
sc-3023	98	14	arima	arima	PROPN
sc-3023	98	15	)	)	PUNCT
sc-3023	98	16	,	,	PUNCT
sc-3023	98	17	94.378	94.378	NUM
sc-3023	98	18	%	%	NOUN
sc-3023	98	19	(	(	PUNCT
sc-3023	98	20	sarima	sarima	NOUN
sc-3023	98	21	)	)	PUNCT
sc-3023	98	22	,	,	PUNCT
sc-3023	98	23	and	and	CCONJ
sc-3023	98	24	97.01	97.01	NUM
sc-3023	98	25	%	%	NOUN
sc-3023	98	26	accuracy	accuracy	NOUN
sc-3023	98	27	(	(	PUNCT
sc-3023	98	28	lstm	lstm	NOUN
sc-3023	98	29	)	)	PUNCT
sc-3023	98	30	.	.	PUNCT
sc-3023	99	1	in	in	ADP
sc-3023	99	2	terms	term	NOUN
sc-3023	99	3	of	of	ADP
sc-3023	99	4	developing	develop	VERB
sc-3023	99	5	the	the	DET
sc-3023	99	6	optimal	optimal	ADJ
sc-3023	99	7	model	model	NOUN
sc-3023	99	8	,	,	PUNCT
sc-3023	99	9	the	the	DET
sc-3023	99	10	results	result	NOUN
sc-3023	99	11	show	show	VERB
sc-3023	99	12	that	that	SCONJ
sc-3023	99	13	lstm	lstm	NOUN
sc-3023	99	14	beats	beat	VERB
sc-3023	99	15	both	both	DET
sc-3023	99	16	statistical	statistical	ADJ
sc-3023	99	17	models	model	NOUN
sc-3023	99	18	.	.	PUNCT
sc-3023	100	1	ning	ning	NOUN
sc-3023	100	2	et	et	PROPN
sc-3023	100	3	al	al	PROPN
sc-3023	100	4	.	.	PUNCT
sc-3023	101	1	[	[	X
sc-3023	101	2	13	13	NUM
sc-3023	101	3	]	]	PUNCT
sc-3023	101	4	present	present	ADJ
sc-3023	101	5	a	a	DET
sc-3023	101	6	machine	machine	NOUN
sc-3023	101	7	learning	learning	NOUN
sc-3023	101	8	-	-	PUNCT
sc-3023	101	9	based	base	VERB
sc-3023	101	10	time	time	NOUN
sc-3023	101	11	series	series	PROPN
sc-3023	101	12	forecasting	forecasting	NOUN
sc-3023	101	13	system	system	NOUN
sc-3023	101	14	that	that	PRON
sc-3023	101	15	uses	use	VERB
sc-3023	101	16	existing	exist	VERB
sc-3023	101	17	data	datum	NOUN
sc-3023	101	18	as	as	ADP
sc-3023	101	19	time	time	NOUN
sc-3023	101	20	series	series	NOUN
sc-3023	101	21	and	and	CCONJ
sc-3023	101	22	extracts	extract	VERB
sc-3023	101	23	prominent	prominent	ADJ
sc-3023	101	24	attributes	attribute	NOUN
sc-3023	101	25	from	from	ADP
sc-3023	101	26	historical	historical	ADJ
sc-3023	101	27	data	datum	NOUN
sc-3023	101	28	to	to	PART
sc-3023	101	29	predict	predict	VERB
sc-3023	101	30	future	future	ADJ
sc-3023	101	31	time	time	NOUN
sc-3023	101	32	sequence	sequence	NOUN
sc-3023	101	33	values	value	NOUN
sc-3023	101	34	.	.	PUNCT
sc-3023	102	1	three	three	NUM
sc-3023	102	2	methods	method	NOUN
sc-3023	102	3	were	be	AUX
sc-3023	102	4	explored	explore	VERB
sc-3023	102	5	and	and	CCONJ
sc-3023	102	6	evaluated	evaluate	VERB
sc-3023	102	7	to	to	PART
sc-3023	102	8	overcome	overcome	VERB
sc-3023	102	9	the	the	DET
sc-3023	102	10	restrictions	restriction	NOUN
sc-3023	102	11	of	of	ADP
sc-3023	102	12	traditional	traditional	ADJ
sc-3023	102	13	production	production	NOUN
sc-3023	102	14	forecasting	forecasting	NOUN
sc-3023	102	15	:	:	PUNCT
sc-3023	102	16	autoregressive	autoregressive	ADJ
sc-3023	102	17	integrated	integrated	ADJ
sc-3023	102	18	moving	move	VERB
sc-3023	102	19	averages	average	NOUN
sc-3023	102	20	(	(	PUNCT
sc-3023	102	21	arima	arima	PROPN
sc-3023	102	22	)	)	PUNCT
sc-3023	102	23	,	,	PUNCT
sc-3023	102	24	the	the	DET
sc-3023	102	25	long	long	ADV
sc-3023	102	26	-	-	PUNCT
sc-3023	102	27	short	short	ADJ
sc-3023	102	28	-	-	PUNCT
sc-3023	102	29	term	term	NOUN
sc-3023	102	30	memory	memory	NOUN
sc-3023	102	31	(	(	PUNCT
sc-3023	102	32	lstm	lstm	NOUN
sc-3023	102	33	)	)	PUNCT
sc-3023	102	34	network	network	NOUN
sc-3023	102	35	,	,	PUNCT
sc-3023	102	36	and	and	CCONJ
sc-3023	102	37	prophet	prophet	NOUN
sc-3023	102	38	.	.	PUNCT
sc-3023	103	1	this	this	DET
sc-3023	103	2	study	study	NOUN
sc-3023	103	3	begins	begin	VERB
sc-3023	103	4	with	with	ADP
sc-3023	103	5	reflective	reflective	ADJ
sc-3023	103	6	oil	oil	NOUN
sc-3023	103	7	supply	supply	NOUN
sc-3023	103	8	data	datum	NOUN
sc-3023	103	9	from	from	ADP
sc-3023	103	10	a	a	DET
sc-3023	103	11	well	well	NOUN
sc-3023	103	12	in	in	ADP
sc-3023	103	13	an	an	DET
sc-3023	103	14	unconventional	unconventional	ADJ
sc-3023	103	15	reservoir	reservoir	NOUN
sc-3023	103	16	in	in	ADP
sc-3023	103	17	the	the	DET
sc-3023	103	18	denverjulesburg	denverjulesburg	NOUN
sc-3023	103	19	(	(	PUNCT
sc-3023	103	20	dj	dj	NOUN
sc-3023	103	21	)	)	PUNCT
sc-3023	103	22	basin	basin	NOUN
sc-3023	103	23	,	,	PUNCT
sc-3023	103	24	and	and	CCONJ
sc-3023	103	25	the	the	DET
sc-3023	103	26	application	application	NOUN
sc-3023	103	27	of	of	ADP
sc-3023	103	28	arima	arima	PROPN
sc-3023	103	29	,	,	PUNCT
sc-3023	103	30	lstm	lstm	NOUN
sc-3023	103	31	,	,	PUNCT
sc-3023	103	32	and	and	CCONJ
sc-3023	103	33	prophet	prophet	NOUN
sc-3023	103	34	techniques	technique	NOUN
sc-3023	103	35	to	to	ADP
sc-3023	103	36	65	65	NUM
sc-3023	103	37	wells	well	NOUN
sc-3023	103	38	in	in	ADP
sc-3023	103	39	the	the	DET
sc-3023	103	40	dj	dj	NOUN
sc-3023	103	41	basin	basin	NOUN
sc-3023	103	42	demonstrates	demonstrate	VERB
sc-3023	103	43	that	that	SCONJ
sc-3023	103	44	arima	arima	PROPN
sc-3023	103	45	and	and	CCONJ
sc-3023	103	46	lstm	lstm	NOUN
sc-3023	103	47	perform	perform	VERB
sc-3023	103	48	better	well	ADV
sc-3023	103	49	than	than	ADP
sc-3023	103	50	prophet	prophet	ADJ
sc-3023	103	51	—	—	PUNCT
sc-3023	103	52	most	most	ADV
sc-3023	103	53	likely	likely	ADJ
sc-3023	103	54	because	because	SCONJ
sc-3023	103	55	not	not	PART
sc-3023	103	56	all	all	PRON
sc-3023	103	57	oil	oil	NOUN
sc-3023	103	58	production	production	NOUN
sc-3023	103	59	data	datum	NOUN
sc-3023	103	60	includes	include	VERB
sc-3023	103	61	seasonal	seasonal	ADJ
sc-3023	103	62	changes	change	NOUN
sc-3023	103	63	and	and	CCONJ
sc-3023	103	64	arima	arima	NOUN
sc-3023	103	65	is	be	AUX
sc-3023	103	66	strong	strong	ADJ
sc-3023	103	67	in	in	ADP
sc-3023	103	68	forecasting	forecast	VERB
sc-3023	103	69	the	the	DET
sc-3023	103	70	oil	oil	NOUN
sc-3023	103	71	production	production	NOUN
sc-3023	103	72	of	of	ADP
sc-3023	103	73	wells	well	NOUN
sc-3023	103	74	across	across	ADP
sc-3023	103	75	the	the	DET
sc-3023	103	76	dj	dj	NOUN
sc-3023	103	77	basin	basin	NOUN
sc-3023	103	78	.	.	PUNCT
sc-3023	104	1	3	3	X
sc-3023	104	2	.	.	X
sc-3023	104	3	material	material	NOUN
sc-3023	104	4	and	and	CCONJ
sc-3023	104	5	method	method	VERB
sc-3023	104	6	this	this	DET
sc-3023	104	7	section	section	NOUN
sc-3023	104	8	talks	talk	VERB
sc-3023	104	9	about	about	ADP
sc-3023	104	10	the	the	DET
sc-3023	104	11	malaria	malaria	NOUN
sc-3023	104	12	and	and	CCONJ
sc-3023	104	13	pneumonia	pneumonia	NOUN
sc-3023	104	14	datasets	dataset	NOUN
sc-3023	104	15	that	that	PRON
sc-3023	104	16	were	be	AUX
sc-3023	104	17	used	use	VERB
sc-3023	104	18	in	in	ADP
sc-3023	104	19	this	this	DET
sc-3023	104	20	paper	paper	NOUN
sc-3023	104	21	and	and	CCONJ
sc-3023	104	22	how	how	SCONJ
sc-3023	104	23	they	they	PRON
sc-3023	104	24	were	be	AUX
sc-3023	104	25	evaluated	evaluate	VERB
sc-3023	104	26	.	.	PUNCT
sc-3023	105	1	while	while	SCONJ
sc-3023	105	2	figure	figure	NOUN
sc-3023	105	3	1	1	NUM
sc-3023	105	4	depicts	depict	VERB
sc-3023	105	5	the	the	DET
sc-3023	105	6	workflow	workflow	NOUN
sc-3023	105	7	of	of	ADP
sc-3023	105	8	our	our	PRON
sc-3023	105	9	methodology	methodology	NOUN
sc-3023	105	10	,	,	PUNCT
sc-3023	105	11	the	the	DET
sc-3023	105	12	three	three	NUM
sc-3023	105	13	subsections	subsection	NOUN
sc-3023	105	14	that	that	PRON
sc-3023	105	15	follow	follow	VERB
sc-3023	105	16	,	,	PUNCT
sc-3023	105	17	namely	namely	ADV
sc-3023	105	18	i	i	NOUN
sc-3023	105	19	)	)	PUNCT
sc-3023	105	20	dataset	dataset	PROPN
sc-3023	105	21	,	,	PUNCT
sc-3023	105	22	ii	ii	NOUN
sc-3023	105	23	)	)	PUNCT
sc-3023	105	24	arima	arima	NOUN
sc-3023	105	25	technique	technique	NOUN
sc-3023	105	26	,	,	PUNCT
sc-3023	105	27	and	and	CCONJ
sc-3023	105	28	iii	iii	X
sc-3023	105	29	)	)	PUNCT
sc-3023	105	30	fb	fb	ADJ
sc-3023	105	31	-	-	PUNCT
sc-3023	105	32	prophet	prophet	NOUN
sc-3023	105	33	technique	technique	NOUN
sc-3023	105	34	,	,	PUNCT
sc-3023	105	35	provide	provide	VERB
sc-3023	105	36	details	detail	NOUN
sc-3023	105	37	on	on	ADP
sc-3023	105	38	each	each	DET
sc-3023	105	39	phase	phase	NOUN
sc-3023	105	40	.	.	PUNCT
sc-3023	106	1	figure	figure	NOUN
sc-3023	106	2	1	1	NUM
sc-3023	106	3	.	.	PUNCT
sc-3023	107	1	flowchart	flowchart	NOUN
sc-3023	107	2	of	of	ADP
sc-3023	107	3	our	our	PRON
sc-3023	107	4	methodology	methodology	NOUN
sc-3023	107	5	the	the	DET
sc-3023	107	6	methodology	methodology	NOUN
sc-3023	107	7	of	of	ADP
sc-3023	107	8	the	the	DET
sc-3023	107	9	work	work	NOUN
sc-3023	107	10	is	be	AUX
sc-3023	107	11	divided	divide	VERB
sc-3023	107	12	into	into	ADP
sc-3023	107	13	5	5	NUM
sc-3023	107	14	steps	step	NOUN
sc-3023	107	15	as	as	SCONJ
sc-3023	107	16	follows	follow	VERB
sc-3023	107	17	:	:	PUNCT
sc-3023	107	18	step	step	NOUN
sc-3023	107	19	1	1	NUM
sc-3023	107	20	:	:	PUNCT
sc-3023	107	21	disease	disease	NOUN
sc-3023	107	22	dataset	dataset	VERB
sc-3023	107	23	:	:	PUNCT
sc-3023	107	24	this	this	DET
sc-3023	107	25	step	step	NOUN
sc-3023	107	26	concerns	concern	NOUN
sc-3023	107	27	collecting	collect	VERB
sc-3023	107	28	the	the	DET
sc-3023	107	29	disease	disease	NOUN
sc-3023	107	30	dataset	dataset	VERB
sc-3023	107	31	from	from	ADP
sc-3023	107	32	the	the	DET
sc-3023	107	33	ministry	ministry	PROPN
sc-3023	107	34	of	of	ADP
sc-3023	107	35	health	health	PROPN
sc-3023	107	36	.	.	PUNCT
sc-3023	108	1	diseases	disease	NOUN
sc-3023	108	2	dataset	dataset	VERB
sc-3023	108	3	data	datum	NOUN
sc-3023	108	4	pre	pre	ADJ
sc-3023	108	5	-	-	ADJ
sc-3023	108	6	processing	processing	ADJ
sc-3023	108	7	fb	fb	ADJ
sc-3023	108	8	-	-	PUNCT
sc-3023	108	9	prophet	prophet	NOUN
sc-3023	108	10	method	method	NOUN
sc-3023	108	11	arima	arima	PROPN
sc-3023	108	12	method	method	NOUN
sc-3023	108	13	forecasting	forecasting	NOUN
sc-3023	108	14	forecasting	forecasting	NOUN
sc-3023	108	15	performance	performance	NOUN
sc-3023	108	16	evaluation	evaluation	NOUN
sc-3023	108	17	eai	eai	NOUN
sc-3023	108	18	endorsed	endorse	VERB
sc-3023	108	19	transactions	transaction	NOUN
sc-3023	108	20	on	on	ADP
sc-3023	108	21	smart	smart	ADJ
sc-3023	108	22	cities	city	NOUN
sc-3023	108	23	|	|	ADV
sc-3023	108	24	volume	volume	VERB
sc-3023	108	25	7	7	NUM
sc-3023	109	1	|	|	NOUN
sc-3023	109	2	issue	issue	NOUN
sc-3023	109	3	2	2	NUM
sc-3023	109	4	|	|	NOUN
sc-3023	109	5	hussein	hussein	PROPN
sc-3023	109	6	ali	ali	PROPN
sc-3023	109	7	hussein	hussein	PROPN
sc-3023	109	8	,	,	PUNCT
sc-3023	109	9	mukhtar	mukhtar	PROPN
sc-3023	109	10	m.	m.	PROPN
sc-3023	109	11	e.	e.	PROPN
sc-3023	109	12	mahmoud	mahmoud	PROPN
sc-3023	109	13	and	and	CCONJ
sc-3023	109	14	haroun	haroun	PROPN
sc-3023	109	15	a.	a.	PROPN
sc-3023	109	16	eisa	eisa	PROPN
sc-3023	109	17	4	4	NUM
sc-3023	109	18	step	step	NOUN
sc-3023	109	19	2	2	NUM
sc-3023	109	20	:	:	PUNCT
sc-3023	109	21	data	datum	NOUN
sc-3023	109	22	pre	pre	NOUN
sc-3023	109	23	-	-	NOUN
sc-3023	109	24	processing	processing	ADJ
sc-3023	109	25	:	:	PUNCT
sc-3023	109	26	this	this	DET
sc-3023	109	27	step	step	NOUN
sc-3023	109	28	contains	contain	VERB
sc-3023	109	29	three	three	NUM
sc-3023	109	30	stages	stage	NOUN
sc-3023	109	31	to	to	PART
sc-3023	109	32	guarantee	guarantee	VERB
sc-3023	109	33	the	the	DET
sc-3023	109	34	accuracy	accuracy	NOUN
sc-3023	109	35	and	and	CCONJ
sc-3023	109	36	completeness	completeness	NOUN
sc-3023	109	37	of	of	ADP
sc-3023	109	38	the	the	DET
sc-3023	109	39	data	datum	NOUN
sc-3023	109	40	:	:	PUNCT
sc-3023	109	41	i	i	NOUN
sc-3023	109	42	)	)	PUNCT
sc-3023	109	43	data	datum	NOUN
sc-3023	109	44	cleaning	cleaning	NOUN
sc-3023	109	45	;	;	PUNCT
sc-3023	109	46	ii	ii	X
sc-3023	109	47	)	)	PUNCT
sc-3023	109	48	feature	feature	NOUN
sc-3023	109	49	selection	selection	NOUN
sc-3023	109	50	;	;	PUNCT
sc-3023	109	51	and	and	CCONJ
sc-3023	109	52	iii	iii	X
sc-3023	109	53	)	)	PUNCT
sc-3023	109	54	feature	feature	NOUN
sc-3023	109	55	extraction	extraction	NOUN
sc-3023	109	56	and	and	CCONJ
sc-3023	109	57	transformation	transformation	NOUN
sc-3023	109	58	.	.	PUNCT
sc-3023	110	1	step	step	NOUN
sc-3023	110	2	3	3	NUM
sc-3023	110	3	:	:	PUNCT
sc-3023	110	4	time	time	NOUN
sc-3023	110	5	series	series	PROPN
sc-3023	110	6	forecasting	forecasting	NOUN
sc-3023	110	7	methods	method	NOUN
sc-3023	110	8	(	(	PUNCT
sc-3023	110	9	arima	arima	NOUN
sc-3023	110	10	and	and	CCONJ
sc-3023	110	11	fb	fb	NOUN
sc-3023	110	12	-	-	PUNCT
sc-3023	110	13	prophet	prophet	NOUN
sc-3023	110	14	):	):	PUNCT
sc-3023	110	15	in	in	ADP
sc-3023	110	16	this	this	DET
sc-3023	110	17	step	step	NOUN
sc-3023	110	18	,	,	PUNCT
sc-3023	110	19	we	we	PRON
sc-3023	110	20	prepare	prepare	VERB
sc-3023	110	21	the	the	DET
sc-3023	110	22	system	system	NOUN
sc-3023	110	23	for	for	ADP
sc-3023	110	24	predicting	predict	VERB
sc-3023	110	25	diseases	disease	NOUN
sc-3023	110	26	five	five	NUM
sc-3023	110	27	months	month	NOUN
sc-3023	110	28	later	later	ADV
sc-3023	110	29	.	.	PUNCT
sc-3023	111	1	step	step	NOUN
sc-3023	111	2	4	4	NUM
sc-3023	111	3	:	:	PUNCT
sc-3023	111	4	forecasting	forecasting	NOUN
sc-3023	111	5	:	:	PUNCT
sc-3023	111	6	this	this	DET
sc-3023	111	7	step	step	NOUN
sc-3023	111	8	concerns	concern	NOUN
sc-3023	111	9	conducting	conduct	VERB
sc-3023	111	10	the	the	DET
sc-3023	111	11	forecasting	forecasting	NOUN
sc-3023	111	12	methods	method	NOUN
sc-3023	111	13	and	and	CCONJ
sc-3023	111	14	gives	give	VERB
sc-3023	111	15	the	the	DET
sc-3023	111	16	results	result	NOUN
sc-3023	111	17	for	for	ADP
sc-3023	111	18	each	each	DET
sc-3023	111	19	one	one	NUM
sc-3023	111	20	.	.	PUNCT
sc-3023	112	1	step	step	NOUN
sc-3023	112	2	5	5	NUM
sc-3023	112	3	:	:	PUNCT
sc-3023	112	4	performance	performance	NOUN
sc-3023	112	5	evaluation	evaluation	NOUN
sc-3023	112	6	:	:	PUNCT
sc-3023	112	7	in	in	ADP
sc-3023	112	8	this	this	DET
sc-3023	112	9	step	step	NOUN
sc-3023	112	10	,	,	PUNCT
sc-3023	112	11	we	we	PRON
sc-3023	112	12	use	use	VERB
sc-3023	112	13	the	the	DET
sc-3023	112	14	error	error	NOUN
sc-3023	112	15	metrics	metric	NOUN
sc-3023	112	16	(	(	PUNCT
sc-3023	112	17	rmse	rmse	PROPN
sc-3023	112	18	,	,	PUNCT
sc-3023	112	19	mae	mae	PROPN
sc-3023	112	20	,	,	PUNCT
sc-3023	112	21	mape	mape	NOUN
sc-3023	112	22	,	,	PUNCT
sc-3023	112	23	and	and	CCONJ
sc-3023	112	24	mase	mase	PROPN
sc-3023	112	25	)	)	PUNCT
sc-3023	112	26	to	to	PART
sc-3023	112	27	evaluate	evaluate	VERB
sc-3023	112	28	the	the	DET
sc-3023	112	29	performance	performance	NOUN
sc-3023	112	30	of	of	ADP
sc-3023	112	31	forecasting	forecasting	NOUN
sc-3023	112	32	methods	method	NOUN
sc-3023	112	33	and	and	CCONJ
sc-3023	112	34	choose	choose	VERB
sc-3023	112	35	the	the	DET
sc-3023	112	36	best	good	ADJ
sc-3023	112	37	one	one	NUM
sc-3023	112	38	.	.	PUNCT
sc-3023	113	1	3.1	3.1	NUM
sc-3023	113	2	.	.	PUNCT
sc-3023	113	3	dataset	dataset	VERB
sc-3023	113	4	the	the	DET
sc-3023	113	5	diseases	disease	NOUN
sc-3023	113	6	dataset	dataset	VERB
sc-3023	113	7	in	in	ADP
sc-3023	113	8	gedaref	gedaref	NOUN
sc-3023	113	9	state	state	NOUN
sc-3023	113	10	was	be	AUX
sc-3023	113	11	collected	collect	VERB
sc-3023	113	12	by	by	ADP
sc-3023	113	13	the	the	DET
sc-3023	113	14	ministry	ministry	PROPN
sc-3023	113	15	of	of	ADP
sc-3023	113	16	health	health	PROPN
sc-3023	113	17	's	's	PART
sc-3023	113	18	statistics	statistics	PROPN
sc-3023	113	19	department	department	PROPN
sc-3023	113	20	and	and	CCONJ
sc-3023	113	21	the	the	DET
sc-3023	113	22	state	state	NOUN
sc-3023	113	23	's	's	PART
sc-3023	113	24	information	information	NOUN
sc-3023	113	25	center	center	NOUN
sc-3023	113	26	.	.	PUNCT
sc-3023	114	1	the	the	DET
sc-3023	114	2	dataset	dataset	NOUN
sc-3023	114	3	contains	contain	VERB
sc-3023	114	4	data	datum	NOUN
sc-3023	114	5	on	on	ADP
sc-3023	114	6	the	the	DET
sc-3023	114	7	total	total	ADJ
sc-3023	114	8	number	number	NOUN
sc-3023	114	9	of	of	ADP
sc-3023	114	10	disease	disease	NOUN
sc-3023	114	11	cases	case	NOUN
sc-3023	114	12	from	from	ADP
sc-3023	114	13	january	january	PROPN
sc-3023	114	14	1	1	NUM
sc-3023	114	15	,	,	PUNCT
sc-3023	114	16	2017	2017	NUM
sc-3023	114	17	to	to	ADP
sc-3023	114	18	december	december	PROPN
sc-3023	114	19	31	31	NUM
sc-3023	114	20	,	,	PUNCT
sc-3023	114	21	2021	2021	NUM
sc-3023	114	22	.	.	PUNCT
sc-3023	115	1	the	the	DET
sc-3023	115	2	dataset	dataset	NOUN
sc-3023	115	3	contains	contain	VERB
sc-3023	115	4	25062	25062	NUM
sc-3023	115	5	records	record	NOUN
sc-3023	115	6	from	from	ADP
sc-3023	115	7	all	all	DET
sc-3023	115	8	diseases	disease	NOUN
sc-3023	115	9	in	in	ADP
sc-3023	115	10	the	the	DET
sc-3023	115	11	state	state	NOUN
sc-3023	115	12	during	during	ADP
sc-3023	115	13	this	this	DET
sc-3023	115	14	time	time	NOUN
sc-3023	115	15	period	period	NOUN
sc-3023	115	16	,	,	PUNCT
sc-3023	115	17	as	as	ADV
sc-3023	115	18	well	well	ADV
sc-3023	115	19	as	as	ADP
sc-3023	115	20	20	20	NUM
sc-3023	115	21	characteristics	characteristic	NOUN
sc-3023	115	22	.	.	PUNCT
sc-3023	116	1	the	the	DET
sc-3023	116	2	features	feature	NOUN
sc-3023	116	3	of	of	ADP
sc-3023	116	4	the	the	DET
sc-3023	116	5	dataset	dataset	NOUN
sc-3023	116	6	are	be	AUX
sc-3023	116	7	(	(	PUNCT
sc-3023	116	8	"	"	PUNCT
sc-3023	116	9	quarter	quarter	NOUN
sc-3023	116	10	"	"	PUNCT
sc-3023	116	11	,	,	PUNCT
sc-3023	116	12	"	"	PUNCT
sc-3023	116	13	diseases	disease	NOUN
sc-3023	116	14	"	"	PUNCT
sc-3023	116	15	,	,	PUNCT
sc-3023	116	16	"	"	PUNCT
sc-3023	116	17	diseases	disease	NOUN
sc-3023	116	18	code	code	NOUN
sc-3023	116	19	"	"	PUNCT
sc-3023	116	20	,	,	PUNCT
sc-3023	116	21	"	"	PUNCT
sc-3023	116	22	male	male	ADJ
sc-3023	116	23	-1	-1	NOUN
sc-3023	116	24	"	"	PUNCT
sc-3023	116	25	,	,	PUNCT
sc-3023	116	26	"	"	PUNCT
sc-3023	116	27	female	female	ADJ
sc-3023	116	28	-1	-1	NOUN
sc-3023	116	29	"	"	PUNCT
sc-3023	116	30	,	,	PUNCT
sc-3023	116	31	"	"	PUNCT
sc-3023	116	32	male	male	ADJ
sc-3023	116	33	1	1	NUM
sc-3023	116	34	-	-	SYM
sc-3023	116	35	4	4	NUM
sc-3023	116	36	years	year	NOUN
sc-3023	116	37	"	"	PUNCT
sc-3023	116	38	,	,	PUNCT
sc-3023	116	39	"	"	PUNCT
sc-3023	116	40	female	female	ADJ
sc-3023	116	41	1	1	NUM
sc-3023	116	42	-	-	SYM
sc-3023	116	43	4	4	NUM
sc-3023	116	44	years	year	NOUN
sc-3023	116	45	"	"	PUNCT
sc-3023	116	46	,	,	PUNCT
sc-3023	116	47	"	"	PUNCT
sc-3023	116	48	male	male	ADJ
sc-3023	116	49	5	5	NUM
sc-3023	116	50	-	-	SYM
sc-3023	116	51	14	14	NUM
sc-3023	116	52	years	year	NOUN
sc-3023	116	53	"	"	PUNCT
sc-3023	116	54	,	,	PUNCT
sc-3023	116	55	"	"	PUNCT
sc-3023	116	56	female	female	ADJ
sc-3023	116	57	5	5	NUM
sc-3023	116	58	-	-	SYM
sc-3023	116	59	14	14	NUM
sc-3023	116	60	years	year	NOUN
sc-3023	116	61	"	"	PUNCT
sc-3023	116	62	,	,	PUNCT
sc-3023	116	63	"	"	PUNCT
sc-3023	116	64	male	male	ADJ
sc-3023	116	65	15	15	NUM
sc-3023	116	66	-	-	SYM
sc-3023	116	67	44	44	NUM
sc-3023	116	68	years	year	NOUN
sc-3023	116	69	"	"	PUNCT
sc-3023	116	70	,	,	PUNCT
sc-3023	116	71	"	"	PUNCT
sc-3023	116	72	female	female	ADJ
sc-3023	116	73	15	15	NUM
sc-3023	116	74	-	-	SYM
sc-3023	116	75	44	44	NUM
sc-3023	116	76	years	year	NOUN
sc-3023	116	77	"	"	PUNCT
sc-3023	116	78	,	,	PUNCT
sc-3023	116	79	"	"	PUNCT
sc-3023	116	80	male	male	ADJ
sc-3023	116	81	45	45	NUM
sc-3023	116	82	-	-	SYM
sc-3023	116	83	64	64	NUM
sc-3023	116	84	years	year	NOUN
sc-3023	116	85	"	"	PUNCT
sc-3023	116	86	,	,	PUNCT
sc-3023	116	87	"	"	PUNCT
sc-3023	116	88	female	female	ADJ
sc-3023	116	89	4564	4564	NUM
sc-3023	116	90	years	year	NOUN
sc-3023	116	91	"	"	PUNCT
sc-3023	116	92	,	,	PUNCT
sc-3023	116	93	"	"	PUNCT
sc-3023	116	94	male	male	NOUN
sc-3023	116	95	65	65	NUM
sc-3023	116	96	+	+	NUM
sc-3023	116	97	years	year	NOUN
sc-3023	116	98	"	"	PUNCT
sc-3023	116	99	,	,	PUNCT
sc-3023	116	100	"	"	PUNCT
sc-3023	116	101	female	female	ADJ
sc-3023	116	102	65	65	NUM
sc-3023	116	103	+	+	NUM
sc-3023	116	104	years	year	NOUN
sc-3023	116	105	"	"	PUNCT
sc-3023	116	106	,	,	PUNCT
sc-3023	116	107	"	"	PUNCT
sc-3023	116	108	sum	sum	NOUN
sc-3023	116	109	of	of	ADP
sc-3023	116	110	males	male	NOUN
sc-3023	116	111	"	"	PUNCT
sc-3023	116	112	,	,	PUNCT
sc-3023	116	113	"	"	PUNCT
sc-3023	116	114	sum	sum	NOUN
sc-3023	116	115	of	of	ADP
sc-3023	116	116	females	female	NOUN
sc-3023	116	117	"	"	PUNCT
sc-3023	116	118	,	,	PUNCT
sc-3023	116	119	"	"	PUNCT
sc-3023	116	120	total	total	ADJ
sc-3023	116	121	cases	case	NOUN
sc-3023	116	122	"	"	PUNCT
sc-3023	116	123	,	,	PUNCT
sc-3023	116	124	"	"	PUNCT
sc-3023	116	125	localities	locality	NOUN
sc-3023	116	126	"	"	PUNCT
sc-3023	116	127	,	,	PUNCT
sc-3023	116	128	"	"	PUNCT
sc-3023	116	129	years	year	NOUN
sc-3023	116	130	"	"	PUNCT
sc-3023	116	131	)	)	PUNCT
sc-3023	116	132	.	.	PUNCT
sc-3023	117	1	data	datum	NOUN
sc-3023	117	2	cleaning	cleaning	NOUN
sc-3023	117	3	was	be	AUX
sc-3023	117	4	undertaken	undertake	VERB
sc-3023	117	5	to	to	PART
sc-3023	117	6	ensure	ensure	VERB
sc-3023	117	7	the	the	DET
sc-3023	117	8	accuracy	accuracy	NOUN
sc-3023	117	9	,	,	PUNCT
sc-3023	117	10	completeness	completeness	NOUN
sc-3023	117	11	,	,	PUNCT
sc-3023	117	12	and	and	CCONJ
sc-3023	117	13	accuracy	accuracy	NOUN
sc-3023	117	14	of	of	ADP
sc-3023	117	15	the	the	DET
sc-3023	117	16	data	datum	NOUN
sc-3023	117	17	,	,	PUNCT
sc-3023	117	18	which	which	PRON
sc-3023	117	19	was	be	AUX
sc-3023	117	20	obtained	obtain	VERB
sc-3023	117	21	in	in	ADP
sc-3023	117	22	arabic	arabic	ADJ
sc-3023	117	23	and	and	CCONJ
sc-3023	117	24	then	then	ADV
sc-3023	117	25	transformed	transform	VERB
sc-3023	117	26	to	to	ADP
sc-3023	117	27	english	english	PROPN
sc-3023	117	28	.	.	PUNCT
sc-3023	118	1	feature	feature	NOUN
sc-3023	118	2	selection	selection	NOUN
sc-3023	118	3	:	:	PUNCT
sc-3023	118	4	the	the	DET
sc-3023	118	5	purpose	purpose	NOUN
sc-3023	118	6	of	of	ADP
sc-3023	118	7	this	this	DET
sc-3023	118	8	stage	stage	NOUN
sc-3023	118	9	was	be	AUX
sc-3023	118	10	to	to	PART
sc-3023	118	11	pick	pick	VERB
sc-3023	118	12	the	the	DET
sc-3023	118	13	suitable	suitable	ADJ
sc-3023	118	14	features	feature	NOUN
sc-3023	118	15	(	(	PUNCT
sc-3023	118	16	date	date	NOUN
sc-3023	118	17	and	and	CCONJ
sc-3023	118	18	total	total	ADJ
sc-3023	118	19	cases	case	NOUN
sc-3023	118	20	)	)	PUNCT
sc-3023	118	21	for	for	ADP
sc-3023	118	22	use	use	NOUN
sc-3023	118	23	in	in	ADP
sc-3023	118	24	the	the	DET
sc-3023	118	25	forecasting	forecasting	NOUN
sc-3023	118	26	procedure	procedure	NOUN
sc-3023	118	27	.	.	PUNCT
sc-3023	119	1	feature	feature	NOUN
sc-3023	119	2	extraction	extraction	NOUN
sc-3023	119	3	and	and	CCONJ
sc-3023	119	4	transformation	transformation	NOUN
sc-3023	119	5	:	:	PUNCT
sc-3023	119	6	in	in	ADP
sc-3023	119	7	this	this	DET
sc-3023	119	8	step	step	NOUN
sc-3023	119	9	,	,	PUNCT
sc-3023	119	10	the	the	DET
sc-3023	119	11	feature	feature	NOUN
sc-3023	119	12	that	that	PRON
sc-3023	119	13	was	be	AUX
sc-3023	119	14	chosen	choose	VERB
sc-3023	119	15	before	before	ADP
sc-3023	119	16	is	be	AUX
sc-3023	119	17	taken	take	VERB
sc-3023	119	18	out	out	ADP
sc-3023	119	19	and	and	CCONJ
sc-3023	119	20	changed	change	VERB
sc-3023	119	21	into	into	ADP
sc-3023	119	22	a	a	DET
sc-3023	119	23	form	form	NOUN
sc-3023	119	24	that	that	PRON
sc-3023	119	25	helps	help	VERB
sc-3023	119	26	with	with	ADP
sc-3023	119	27	prediction	prediction	NOUN
sc-3023	119	28	.	.	PUNCT
sc-3023	120	1	the	the	DET
sc-3023	120	2	disease	disease	NOUN
sc-3023	120	3	dataset	dataset	VERB
sc-3023	120	4	was	be	AUX
sc-3023	120	5	then	then	ADV
sc-3023	120	6	made	make	VERB
sc-3023	120	7	by	by	ADP
sc-3023	120	8	just	just	ADV
sc-3023	120	9	adding	add	VERB
sc-3023	120	10	"	"	PUNCT
sc-3023	120	11	date	date	NOUN
sc-3023	120	12	"	"	PUNCT
sc-3023	120	13	as	as	ADP
sc-3023	120	14	a	a	DET
sc-3023	120	15	time	time	NOUN
sc-3023	120	16	series	series	NOUN
sc-3023	120	17	.	.	PUNCT
sc-3023	121	1	it	it	PRON
sc-3023	121	2	has	have	VERB
sc-3023	121	3	60	60	NUM
sc-3023	121	4	rows	row	NOUN
sc-3023	121	5	,	,	PUNCT
sc-3023	121	6	and	and	CCONJ
sc-3023	121	7	the	the	DET
sc-3023	121	8	common	common	ADJ
sc-3023	121	9	"	"	PUNCT
sc-3023	121	10	diseases	disease	NOUN
sc-3023	121	11	"	"	PUNCT
sc-3023	121	12	in	in	ADP
sc-3023	121	13	the	the	DET
sc-3023	121	14	state	state	NOUN
sc-3023	121	15	are	be	AUX
sc-3023	121	16	malaria	malaria	NOUN
sc-3023	121	17	and	and	CCONJ
sc-3023	121	18	pneumonia	pneumonia	NOUN
sc-3023	121	19	.	.	PUNCT
sc-3023	122	1	in	in	ADP
sc-3023	122	2	the	the	DET
sc-3023	122	3	disease	disease	NOUN
sc-3023	122	4	dataset	dataset	VERB
sc-3023	122	5	,	,	PUNCT
sc-3023	122	6	each	each	DET
sc-3023	122	7	row	row	NOUN
sc-3023	122	8	showed	show	VERB
sc-3023	122	9	the	the	DET
sc-3023	122	10	total	total	ADJ
sc-3023	122	11	number	number	NOUN
sc-3023	122	12	of	of	ADP
sc-3023	122	13	disease	disease	NOUN
sc-3023	122	14	cases	case	NOUN
sc-3023	122	15	for	for	ADP
sc-3023	122	16	each	each	DET
sc-3023	122	17	month	month	NOUN
sc-3023	122	18	from	from	ADP
sc-3023	122	19	2017	2017	NUM
sc-3023	122	20	to	to	ADP
sc-3023	122	21	2021	2021	NUM
sc-3023	122	22	.	.	PUNCT
sc-3023	123	1	tables	table	NOUN
sc-3023	123	2	1	1	NUM
sc-3023	123	3	and	and	CCONJ
sc-3023	123	4	2	2	NUM
sc-3023	123	5	show	show	VERB
sc-3023	123	6	the	the	DET
sc-3023	123	7	features	feature	NOUN
sc-3023	123	8	of	of	ADP
sc-3023	123	9	the	the	DET
sc-3023	123	10	dataset	dataset	NOUN
sc-3023	123	11	,	,	PUNCT
sc-3023	123	12	and	and	CCONJ
sc-3023	123	13	figure	figure	VERB
sc-3023	123	14	2	2	NUM
sc-3023	123	15	shows	show	VERB
sc-3023	123	16	the	the	DET
sc-3023	123	17	dashboard	dashboard	NOUN
sc-3023	123	18	of	of	ADP
sc-3023	123	19	full	full	ADJ
sc-3023	123	20	diseases	disease	NOUN
sc-3023	123	21	,	,	PUNCT
sc-3023	123	22	which	which	PRON
sc-3023	123	23	shows	show	VERB
sc-3023	123	24	the	the	DET
sc-3023	123	25	most	most	ADV
sc-3023	123	26	common	common	ADJ
sc-3023	123	27	diseases	disease	NOUN
sc-3023	123	28	in	in	ADP
sc-3023	123	29	the	the	DET
sc-3023	123	30	state	state	NOUN
sc-3023	123	31	.	.	PUNCT
sc-3023	124	1	figures	figure	NOUN
sc-3023	124	2	3	3	NUM
sc-3023	124	3	and	and	CCONJ
sc-3023	124	4	4	4	NUM
sc-3023	124	5	show	show	VERB
sc-3023	124	6	the	the	DET
sc-3023	124	7	overall	overall	ADJ
sc-3023	124	8	number	number	NOUN
sc-3023	124	9	of	of	ADP
sc-3023	124	10	malaria	malaria	NOUN
sc-3023	124	11	and	and	CCONJ
sc-3023	124	12	pneumonia	pneumonia	NOUN
sc-3023	124	13	cases	case	NOUN
sc-3023	124	14	over	over	ADP
sc-3023	124	15	the	the	DET
sc-3023	124	16	five	five	NUM
sc-3023	124	17	-	-	PUNCT
sc-3023	124	18	year	year	NOUN
sc-3023	124	19	period	period	NOUN
sc-3023	124	20	.	.	PUNCT
sc-3023	125	1	the	the	DET
sc-3023	125	2	data	datum	NOUN
sc-3023	125	3	was	be	AUX
sc-3023	125	4	divided	divide	VERB
sc-3023	125	5	into	into	ADP
sc-3023	125	6	two	two	NUM
sc-3023	125	7	sets	set	NOUN
sc-3023	125	8	:	:	PUNCT
sc-3023	125	9	one	one	NUM
sc-3023	125	10	for	for	ADP
sc-3023	125	11	training	train	VERB
sc-3023	125	12	the	the	DET
sc-3023	125	13	models	model	NOUN
sc-3023	125	14	and	and	CCONJ
sc-3023	125	15	one	one	NUM
sc-3023	125	16	for	for	ADP
sc-3023	125	17	testing	test	VERB
sc-3023	125	18	the	the	DET
sc-3023	125	19	approaches	approach	NOUN
sc-3023	125	20	'	'	PART
sc-3023	125	21	performance	performance	NOUN
sc-3023	125	22	.	.	PUNCT
sc-3023	126	1	table	table	NOUN
sc-3023	126	2	1	1	NUM
sc-3023	126	3	.	.	PUNCT
sc-3023	126	4	demonstrate	demonstrate	VERB
sc-3023	126	5	the	the	DET
sc-3023	126	6	whole	whole	ADJ
sc-3023	126	7	dataset	dataset	NOUN
sc-3023	126	8	before	before	ADP
sc-3023	126	9	data	datum	NOUN
sc-3023	126	10	pre	pre	VERB
sc-3023	126	11	-	-	ADJ
sc-3023	126	12	processing	process	VERB
sc-3023	127	1	no	no	PRON
sc-3023	127	2	features	feature	NOUN
sc-3023	127	3	data	data	NOUN
sc-3023	127	4	type	type	NOUN
sc-3023	127	5	1	1	NUM
sc-3023	127	6	quarter	quarter	NOUN
sc-3023	127	7	categorical	categorical	ADJ
sc-3023	127	8	2	2	NUM
sc-3023	127	9	diseases	disease	NOUN
sc-3023	127	10	categorical	categorical	ADJ
sc-3023	127	11	3	3	NUM
sc-3023	127	12	diseases	disease	NOUN
sc-3023	127	13	code	code	VERB
sc-3023	127	14	categorical	categorical	ADJ
sc-3023	127	15	4	4	NUM
sc-3023	127	16	male	male	NOUN
sc-3023	127	17	-1	-1	PUNCT
sc-3023	127	18	numeric	numeric	ADJ
sc-3023	127	19	5	5	NUM
sc-3023	127	20	female	female	NOUN
sc-3023	127	21	-1	-1	PUNCT
sc-3023	127	22	numeric	numeric	ADP
sc-3023	127	23	6	6	NUM
sc-3023	127	24	male	male	ADJ
sc-3023	127	25	1	1	NUM
sc-3023	127	26	-	-	SYM
sc-3023	127	27	4	4	NUM
sc-3023	127	28	years	year	NOUN
sc-3023	127	29	numeric	numeric	ADP
sc-3023	127	30	7	7	NUM
sc-3023	127	31	female	female	ADJ
sc-3023	127	32	1	1	NUM
sc-3023	127	33	-	-	SYM
sc-3023	127	34	4	4	NUM
sc-3023	127	35	years	year	NOUN
sc-3023	127	36	numeric	numeric	ADP
sc-3023	127	37	8	8	NUM
sc-3023	127	38	male	male	NOUN
sc-3023	127	39	5	5	NUM
sc-3023	127	40	-	-	SYM
sc-3023	127	41	14	14	NUM
sc-3023	127	42	years	year	NOUN
sc-3023	127	43	numeric	numeric	ADP
sc-3023	127	44	9	9	NUM
sc-3023	127	45	female	female	ADJ
sc-3023	127	46	5	5	NUM
sc-3023	127	47	-	-	SYM
sc-3023	127	48	14	14	NUM
sc-3023	127	49	years	year	NOUN
sc-3023	127	50	numeric	numeric	ADP
sc-3023	127	51	10	10	NUM
sc-3023	127	52	male	male	ADJ
sc-3023	127	53	15	15	NUM
sc-3023	127	54	-	-	SYM
sc-3023	127	55	44	44	NUM
sc-3023	127	56	years	year	NOUN
sc-3023	127	57	numeric	numeric	ADP
sc-3023	127	58	11	11	NUM
sc-3023	127	59	female	female	ADJ
sc-3023	127	60	15	15	NUM
sc-3023	127	61	-	-	SYM
sc-3023	127	62	44	44	NUM
sc-3023	127	63	years	year	NOUN
sc-3023	127	64	numeric	numeric	ADP
sc-3023	127	65	12	12	NUM
sc-3023	127	66	male	male	NOUN
sc-3023	127	67	45	45	NUM
sc-3023	127	68	-64	-64	NOUN
sc-3023	127	69	years	year	NOUN
sc-3023	127	70	numeric	numeric	ADP
sc-3023	127	71	13	13	NUM
sc-3023	127	72	female	female	ADJ
sc-3023	127	73	45	45	NUM
sc-3023	127	74	-	-	SYM
sc-3023	127	75	64	64	NUM
sc-3023	127	76	years	year	NOUN
sc-3023	127	77	numeric	numeric	ADP
sc-3023	127	78	14	14	NUM
sc-3023	127	79	male	male	NOUN
sc-3023	127	80	+	+	CCONJ
sc-3023	127	81	65	65	NUM
sc-3023	127	82	years	year	NOUN
sc-3023	127	83	numeric	numeric	ADP
sc-3023	127	84	15	15	NUM
sc-3023	127	85	female	female	ADJ
sc-3023	127	86	+	+	CCONJ
sc-3023	127	87	65	65	NUM
sc-3023	127	88	years	year	NOUN
sc-3023	127	89	numeric	numeric	ADP
sc-3023	127	90	16	16	NUM
sc-3023	127	91	sum	sum	NOUN
sc-3023	127	92	of	of	ADP
sc-3023	127	93	males	male	NOUN
sc-3023	127	94	numeric	numeric	ADP
sc-3023	127	95	17	17	NUM
sc-3023	127	96	sum	sum	NOUN
sc-3023	127	97	of	of	ADP
sc-3023	127	98	females	female	NOUN
sc-3023	127	99	numeric	numeric	ADP
sc-3023	127	100	18	18	NUM
sc-3023	127	101	total	total	ADJ
sc-3023	127	102	cases	case	NOUN
sc-3023	127	103	numeric	numeric	ADP
sc-3023	127	104	19	19	NUM
sc-3023	127	105	localities	locality	NOUN
sc-3023	127	106	categorical	categorical	ADJ
sc-3023	127	107	20	20	NUM
sc-3023	127	108	years	year	NOUN
sc-3023	127	109	datetime	datetime	ADJ
sc-3023	127	110	table	table	NOUN
sc-3023	127	111	2	2	NUM
sc-3023	127	112	.	.	PUNCT
sc-3023	127	113	demonstrate	demonstrate	VERB
sc-3023	127	114	the	the	DET
sc-3023	127	115	dataset	dataset	NOUN
sc-3023	127	116	after	after	ADP
sc-3023	127	117	data	data	NOUN
sc-3023	127	118	preprocessing	preprocessing	NOUN
sc-3023	127	119	.	.	PUNCT
sc-3023	128	1	figure	figure	NOUN
sc-3023	128	2	2	2	NUM
sc-3023	128	3	.	.	PUNCT
sc-3023	128	4	demonstrate	demonstrate	VERB
sc-3023	128	5	the	the	DET
sc-3023	128	6	dashboard	dashboard	NOUN
sc-3023	128	7	of	of	ADP
sc-3023	128	8	whole	whole	ADJ
sc-3023	128	9	diseases	disease	NOUN
sc-3023	128	10	.	.	PUNCT
sc-3023	129	1	features	feature	VERB
sc-3023	129	2	data	data	PROPN
sc-3023	129	3	type	type	NOUN
sc-3023	129	4	min	min	PROPN
sc-3023	129	5	value	value	NOUN
sc-3023	129	6	max	max	PROPN
sc-3023	129	7	value	value	NOUN
sc-3023	129	8	mean	mean	VERB
sc-3023	129	9	std	std	PROPN
sc-3023	129	10	.	.	PUNCT
sc-3023	130	1	dev	dev	PROPN
sc-3023	130	2	date	date	NOUN
sc-3023	130	3	datetime	datetime	NOUN
sc-3023	130	4	malaria	malaria	NOUN
sc-3023	130	5	numeric	numeric	ADP
sc-3023	130	6	6786	6786	NUM
sc-3023	130	7	32383	32383	NUM
sc-3023	130	8	16839	16839	NUM
sc-3023	130	9	6082	6082	NUM
sc-3023	130	10	pneumon	pneumon	PROPN
sc-3023	130	11	ia	ia	PROPN
sc-3023	130	12	numeric	numeric	ADP
sc-3023	130	13	9565	9565	NUM
sc-3023	130	14	27177	27177	NUM
sc-3023	130	15	18659	18659	NUM
sc-3023	130	16	4014	4014	NUM
sc-3023	130	17	eai	eai	PROPN
sc-3023	130	18	endorsed	endorse	VERB
sc-3023	130	19	transactions	transaction	NOUN
sc-3023	130	20	on	on	ADP
sc-3023	130	21	smart	smart	ADJ
sc-3023	130	22	cities	city	NOUN
sc-3023	130	23	|	|	ADV
sc-3023	130	24	volume	volume	VERB
sc-3023	130	25	7	7	NUM
sc-3023	130	26	|	|	NOUN
sc-3023	130	27	issue	issue	NOUN
sc-3023	130	28	2	2	NUM
sc-3023	130	29	|	|	NOUN
sc-3023	130	30	performance	performance	NOUN
sc-3023	130	31	evaluation	evaluation	NOUN
sc-3023	130	32	of	of	ADP
sc-3023	130	33	arima	arima	PROPN
sc-3023	130	34	and	and	CCONJ
sc-3023	130	35	fb	fb	ADJ
sc-3023	130	36	-	-	PUNCT
sc-3023	130	37	prophet	prophet	NOUN
sc-3023	130	38	forecasting	forecasting	NOUN
sc-3023	130	39	methods	method	NOUN
sc-3023	130	40	in	in	ADP
sc-3023	130	41	the	the	DET
sc-3023	130	42	context	context	NOUN
sc-3023	130	43	of	of	ADP
sc-3023	130	44	endemic	endemic	ADJ
sc-3023	130	45	diseases	disease	NOUN
sc-3023	130	46	:	:	PUNCT
sc-3023	130	47	a	a	DET
sc-3023	130	48	case	case	NOUN
sc-3023	130	49	study	study	NOUN
sc-3023	130	50	of	of	ADP
sc-3023	130	51	gedaref	gedaref	NOUN
sc-3023	130	52	state	state	NOUN
sc-3023	130	53	in	in	ADP
sc-3023	130	54	sudan	sudan	PROPN
sc-3023	130	55	5	5	NUM
sc-3023	130	56	figure	figure	NOUN
sc-3023	130	57	3	3	NUM
sc-3023	130	58	.	.	PROPN
sc-3023	130	59	illustrates	illustrate	VERB
sc-3023	130	60	the	the	DET
sc-3023	130	61	malaria	malaria	NOUN
sc-3023	130	62	disease	disease	NOUN
sc-3023	130	63	over	over	ADP
sc-3023	130	64	five	five	NUM
sc-3023	130	65	years	year	NOUN
sc-3023	130	66	in	in	ADP
sc-3023	130	67	months	month	NOUN
sc-3023	130	68	.	.	PUNCT
sc-3023	131	1	figure	figure	VERB
sc-3023	131	2	4	4	NUM
sc-3023	131	3	.	.	PUNCT
sc-3023	131	4	illustrates	illustrate	VERB
sc-3023	131	5	the	the	DET
sc-3023	131	6	pneumonia	pneumonia	NOUN
sc-3023	131	7	disease	disease	NOUN
sc-3023	131	8	over	over	ADP
sc-3023	131	9	five	five	NUM
sc-3023	131	10	years	year	NOUN
sc-3023	131	11	in	in	ADP
sc-3023	131	12	months	month	NOUN
sc-3023	131	13	.	.	PUNCT
sc-3023	132	1	3.2	3.2	NUM
sc-3023	132	2	auto	auto	NOUN
sc-3023	132	3	regressive	regressive	ADJ
sc-3023	132	4	integrated	integrated	ADJ
sc-3023	132	5	moving	move	VERB
sc-3023	132	6	average	average	ADJ
sc-3023	132	7	(	(	PUNCT
sc-3023	132	8	arima	arima	NOUN
sc-3023	132	9	)	)	PUNCT
sc-3023	132	10	method	method	NOUN
sc-3023	132	11	the	the	DET
sc-3023	132	12	auto	auto	NOUN
sc-3023	132	13	regressive	regressive	ADJ
sc-3023	132	14	integrated	integrated	ADJ
sc-3023	132	15	moving	move	VERB
sc-3023	132	16	average	average	ADJ
sc-3023	132	17	(	(	PUNCT
sc-3023	132	18	arima	arima	NOUN
sc-3023	132	19	)	)	PUNCT
sc-3023	132	20	generates	generate	VERB
sc-3023	132	21	forecasts	forecast	NOUN
sc-3023	132	22	by	by	ADP
sc-3023	132	23	providing	provide	VERB
sc-3023	132	24	a	a	DET
sc-3023	132	25	specific	specific	ADJ
sc-3023	132	26	temporal	temporal	ADJ
sc-3023	132	27	arrangement	arrangement	NOUN
sc-3023	132	28	depending	depend	VERB
sc-3023	132	29	on	on	ADP
sc-3023	132	30	its	its	PRON
sc-3023	132	31	limitations	limitation	NOUN
sc-3023	132	32	and	and	CCONJ
sc-3023	132	33	prediction	prediction	NOUN
sc-3023	132	34	mistakes	mistake	NOUN
sc-3023	132	35	[	[	X
sc-3023	132	36	14	14	NUM
sc-3023	132	37	]	]	PUNCT
sc-3023	132	38	.	.	PUNCT
sc-3023	133	1	the	the	DET
sc-3023	133	2	order	order	NOUN
sc-3023	133	3	of	of	ADP
sc-3023	133	4	the	the	DET
sc-3023	133	5	autoregressive	autoregressive	ADJ
sc-3023	133	6	expression	expression	NOUN
sc-3023	133	7	p	p	NOUN
sc-3023	133	8	,	,	PUNCT
sc-3023	133	9	the	the	DET
sc-3023	133	10	degree	degree	NOUN
sc-3023	133	11	of	of	ADP
sc-3023	133	12	differencing	difference	VERB
sc-3023	133	13	d	d	NOUN
sc-3023	133	14	,	,	PUNCT
sc-3023	133	15	and	and	CCONJ
sc-3023	133	16	the	the	DET
sc-3023	133	17	order	order	NOUN
sc-3023	133	18	of	of	ADP
sc-3023	133	19	the	the	DET
sc-3023	133	20	moving	move	VERB
sc-3023	133	21	average	average	ADJ
sc-3023	133	22	expression	expression	NOUN
sc-3023	133	23	q	q	PUNCT
sc-3023	133	24	define	define	VERB
sc-3023	133	25	a	a	DET
sc-3023	133	26	non	non	ADJ
sc-3023	133	27	-	-	ADJ
sc-3023	133	28	seasonal	seasonal	ADJ
sc-3023	133	29	arima	arima	NOUN
sc-3023	133	30	model	model	NOUN
sc-3023	133	31	.	.	PUNCT
sc-3023	134	1	the	the	DET
sc-3023	134	2	integer	integer	NOUN
sc-3023	134	3	p	p	NOUN
sc-3023	134	4	is	be	AUX
sc-3023	134	5	the	the	DET
sc-3023	134	6	number	number	NOUN
sc-3023	134	7	of	of	ADP
sc-3023	134	8	y	y	PROPN
sc-3023	134	9	occurrences	occurrence	NOUN
sc-3023	134	10	that	that	PRON
sc-3023	134	11	will	will	AUX
sc-3023	134	12	be	be	AUX
sc-3023	134	13	used	use	VERB
sc-3023	134	14	as	as	ADP
sc-3023	134	15	indicators	indicator	NOUN
sc-3023	134	16	.	.	PUNCT
sc-3023	135	1	also	also	ADV
sc-3023	135	2	,	,	PUNCT
sc-3023	135	3	q	q	X
sc-3023	135	4	is	be	AUX
sc-3023	135	5	the	the	DET
sc-3023	135	6	number	number	NOUN
sc-3023	135	7	of	of	ADP
sc-3023	135	8	prediction	prediction	NOUN
sc-3023	135	9	errors	error	NOUN
sc-3023	135	10	that	that	PRON
sc-3023	135	11	are	be	AUX
sc-3023	135	12	not	not	PART
sc-3023	135	13	interesting	interesting	ADJ
sc-3023	135	14	and	and	CCONJ
sc-3023	135	15	should	should	AUX
sc-3023	135	16	be	be	AUX
sc-3023	135	17	added	add	VERB
sc-3023	135	18	to	to	ADP
sc-3023	135	19	the	the	DET
sc-3023	135	20	arima	arima	PROPN
sc-3023	135	21	model	model	NOUN
sc-3023	135	22	.	.	PUNCT
sc-3023	136	1	the	the	DET
sc-3023	136	2	modifications	modification	NOUN
sc-3023	136	3	required	require	VERB
sc-3023	136	4	to	to	PART
sc-3023	136	5	solve	solve	VERB
sc-3023	136	6	the	the	DET
sc-3023	136	7	problem	problem	NOUN
sc-3023	136	8	d	d	NOUN
sc-3023	136	9	=	=	SYM
sc-3023	136	10	0	0	PUNCT
sc-3023	136	11	if	if	SCONJ
sc-3023	136	12	the	the	DET
sc-3023	136	13	temporal	temporal	ADJ
sc-3023	136	14	difference	difference	NOUN
sc-3023	136	15	is	be	AUX
sc-3023	136	16	constant	constant	ADJ
sc-3023	136	17	at	at	ADP
sc-3023	136	18	that	that	DET
sc-3023	136	19	instant	instant	NOUN
sc-3023	136	20	.	.	PUNCT
sc-3023	137	1	the	the	DET
sc-3023	137	2	following	follow	VERB
sc-3023	137	3	is	be	AUX
sc-3023	137	4	the	the	DET
sc-3023	137	5	generic	generic	ADJ
sc-3023	137	6	difference	difference	NOUN
sc-3023	137	7	series	series	NOUN
sc-3023	137	8	equation	equation	NOUN
sc-3023	137	9	:	:	PUNCT
sc-3023	137	10	ŷt	ŷt	PROPN
sc-3023	137	11	=	=	PROPN
sc-3023	137	12	μ	μ	PROPN
sc-3023	137	13	+	+	CCONJ
sc-3023	137	14	ϕ1	ϕ1	NOUN
sc-3023	137	15	yt-1	yt-1	ADV
sc-3023	137	16	+	+	ADJ
sc-3023	137	17	…	…	SYM
sc-3023	137	18	+	+	NUM
sc-3023	137	19	ϕpyt	ϕpyt	NOUN
sc-3023	137	20	-	-	PUNCT
sc-3023	137	21	p	p	NOUN
sc-3023	137	22	θ1et-1	θ1et-1	NOUN
sc-3023	137	23	-	-	PUNCT
sc-3023	137	24	…	…	PUNCT
sc-3023	137	25	θqet	θqet	NOUN
sc-3023	137	26	-	-	PUNCT
sc-3023	137	27	q	q	X
sc-3023	137	28	(	(	PUNCT
sc-3023	137	29	1	1	NUM
sc-3023	137	30	)	)	PUNCT
sc-3023	137	31	where	where	SCONJ
sc-3023	137	32	ϕi	ϕi	ADP
sc-3023	137	33	are	be	AUX
sc-3023	137	34	the	the	DET
sc-3023	137	35	coefficients	coefficient	NOUN
sc-3023	137	36	,	,	PUNCT
sc-3023	137	37	yt	yt	NOUN
sc-3023	137	38	-	-	PUNCT
sc-3023	137	39	p	p	NOUN
sc-3023	137	40	,	,	PUNCT
sc-3023	137	41	and	and	CCONJ
sc-3023	137	42	et	et	NOUN
sc-3023	137	43	-	-	PROPN
sc-3023	137	44	q	q	NOUN
sc-3023	137	45	are	be	AUX
sc-3023	137	46	the	the	DET
sc-3023	137	47	model	model	NOUN
sc-3023	137	48	's	's	PART
sc-3023	137	49	lagging	lag	VERB
sc-3023	137	50	predictors	predictor	NOUN
sc-3023	137	51	.	.	PUNCT
sc-3023	138	1	choosing	choose	VERB
sc-3023	138	2	suitable	suitable	ADJ
sc-3023	138	3	p	p	NOUN
sc-3023	138	4	and	and	CCONJ
sc-3023	138	5	q	q	PROPN
sc-3023	138	6	values	value	NOUN
sc-3023	138	7	necessitates	necessitate	VERB
sc-3023	138	8	optimization	optimization	NOUN
sc-3023	138	9	and	and	CCONJ
sc-3023	138	10	testing	testing	NOUN
sc-3023	138	11	.	.	PUNCT
sc-3023	139	1	graphs	graph	NOUN
sc-3023	139	2	of	of	ADP
sc-3023	139	3	the	the	DET
sc-3023	139	4	autocorrelation	autocorrelation	NOUN
sc-3023	139	5	function	function	NOUN
sc-3023	139	6	(	(	PUNCT
sc-3023	139	7	acf	acf	PROPN
sc-3023	139	8	)	)	PUNCT
sc-3023	139	9	and	and	CCONJ
sc-3023	139	10	partial	partial	ADJ
sc-3023	139	11	autocorrelation	autocorrelation	NOUN
sc-3023	139	12	function	function	NOUN
sc-3023	139	13	(	(	PUNCT
sc-3023	139	14	pacf	pacf	NOUN
sc-3023	139	15	)	)	PUNCT
sc-3023	139	16	must	must	AUX
sc-3023	139	17	be	be	AUX
sc-3023	139	18	analyzed	analyze	VERB
sc-3023	139	19	to	to	PART
sc-3023	139	20	calculate	calculate	VERB
sc-3023	139	21	the	the	DET
sc-3023	139	22	values	value	NOUN
sc-3023	139	23	.	.	PUNCT
sc-3023	140	1	the	the	DET
sc-3023	140	2	following	follow	VERB
sc-3023	140	3	prerequisites	prerequisite	NOUN
sc-3023	140	4	must	must	AUX
sc-3023	140	5	be	be	AUX
sc-3023	140	6	met	meet	VERB
sc-3023	140	7	in	in	ADP
sc-3023	140	8	order	order	NOUN
sc-3023	140	9	to	to	PART
sc-3023	140	10	achieve	achieve	VERB
sc-3023	140	11	this	this	DET
sc-3023	140	12	goal	goal	NOUN
sc-3023	140	13	:	:	PUNCT
sc-3023	140	14	a	a	DET
sc-3023	140	15	few	few	ADJ
sc-3023	140	16	univariate	univariate	ADJ
sc-3023	140	17	time	time	NOUN
sc-3023	140	18	series	series	NOUN
sc-3023	140	19	forecasting	forecasting	NOUN
sc-3023	140	20	algorithms	algorithm	NOUN
sc-3023	140	21	that	that	PRON
sc-3023	140	22	rely	rely	VERB
sc-3023	140	23	purely	purely	ADV
sc-3023	140	24	on	on	ADP
sc-3023	140	25	subjective	subjective	ADJ
sc-3023	140	26	eye	eye	NOUN
sc-3023	140	27	assessment	assessment	NOUN
sc-3023	140	28	and	and	CCONJ
sc-3023	140	29	follow	follow	VERB
sc-3023	140	30	these	these	DET
sc-3023	140	31	guidelines	guideline	NOUN
sc-3023	140	32	may	may	AUX
sc-3023	140	33	be	be	AUX
sc-3023	140	34	beneficial	beneficial	ADJ
sc-3023	140	35	.	.	PUNCT
sc-3023	141	1	however	however	ADV
sc-3023	141	2	,	,	PUNCT
sc-3023	141	3	when	when	SCONJ
sc-3023	141	4	large	large	ADJ
sc-3023	141	5	sums	sum	NOUN
sc-3023	141	6	must	must	AUX
sc-3023	141	7	be	be	AUX
sc-3023	141	8	projected	project	VERB
sc-3023	141	9	,	,	PUNCT
sc-3023	141	10	these	these	DET
sc-3023	141	11	criteria	criterion	NOUN
sc-3023	141	12	become	become	VERB
sc-3023	141	13	ineffective	ineffective	ADJ
sc-3023	141	14	.	.	PUNCT
sc-3023	142	1	one	one	NUM
sc-3023	142	2	option	option	NOUN
sc-3023	142	3	is	be	AUX
sc-3023	142	4	to	to	PART
sc-3023	142	5	use	use	VERB
sc-3023	142	6	software	software	NOUN
sc-3023	142	7	tools	tool	NOUN
sc-3023	142	8	to	to	PART
sc-3023	142	9	select	select	VERB
sc-3023	142	10	arima	arima	PROPN
sc-3023	142	11	's	's	PART
sc-3023	142	12	parameters	parameter	NOUN
sc-3023	142	13	automatically	automatically	ADV
sc-3023	142	14	.	.	PUNCT
sc-3023	143	1	another	another	DET
sc-3023	143	2	approach	approach	NOUN
sc-3023	143	3	is	be	AUX
sc-3023	143	4	to	to	PART
sc-3023	143	5	search	search	VERB
sc-3023	143	6	the	the	DET
sc-3023	143	7	solution	solution	NOUN
sc-3023	143	8	space	space	NOUN
sc-3023	143	9	for	for	ADP
sc-3023	143	10	different	different	ADJ
sc-3023	143	11	parameters	parameter	NOUN
sc-3023	143	12	and	and	CCONJ
sc-3023	143	13	propose	propose	VERB
sc-3023	143	14	the	the	DET
sc-3023	143	15	ones	one	NOUN
sc-3023	143	16	with	with	ADP
sc-3023	143	17	the	the	DET
sc-3023	143	18	lowest	low	ADJ
sc-3023	143	19	error	error	NOUN
sc-3023	143	20	[	[	X
sc-3023	143	21	15	15	NUM
sc-3023	143	22	]	]	SYM
sc-3023	143	23	.	.	PUNCT
sc-3023	144	1	3.3	3.3	NUM
sc-3023	144	2	fb	fb	ADJ
sc-3023	144	3	-	-	PUNCT
sc-3023	144	4	prophet	prophet	NOUN
sc-3023	144	5	method	method	NOUN
sc-3023	144	6	:	:	PUNCT
sc-3023	145	1	facebook	facebook	NOUN
sc-3023	145	2	developed	develop	VERB
sc-3023	145	3	the	the	DET
sc-3023	145	4	fb	fb	ADJ
sc-3023	145	5	-	-	PUNCT
sc-3023	145	6	prophet	prophet	NOUN
sc-3023	145	7	time	time	NOUN
sc-3023	145	8	-	-	PUNCT
sc-3023	145	9	series	series	NOUN
sc-3023	145	10	analysis	analysis	NOUN
sc-3023	145	11	and	and	CCONJ
sc-3023	145	12	forecasting	forecasting	NOUN
sc-3023	145	13	algorithm	algorithm	NOUN
sc-3023	145	14	[	[	X
sc-3023	145	15	16	16	NUM
sc-3023	145	16	]	]	PUNCT
sc-3023	145	17	.	.	PUNCT
sc-3023	146	1	this	this	DET
sc-3023	146	2	model	model	NOUN
sc-3023	146	3	incorporates	incorporate	VERB
sc-3023	146	4	parameters	parameter	NOUN
sc-3023	146	5	for	for	ADP
sc-3023	146	6	holidays	holiday	NOUN
sc-3023	146	7	,	,	PUNCT
sc-3023	146	8	trends	trend	NOUN
sc-3023	146	9	,	,	PUNCT
sc-3023	146	10	and	and	CCONJ
sc-3023	146	11	seasonality	seasonality	NOUN
sc-3023	146	12	,	,	PUNCT
sc-3023	146	13	which	which	PRON
sc-3023	146	14	will	will	AUX
sc-3023	146	15	help	help	VERB
sc-3023	146	16	shape	shape	VERB
sc-3023	146	17	prediction	prediction	NOUN
sc-3023	146	18	results	result	NOUN
sc-3023	146	19	and	and	CCONJ
sc-3023	146	20	provide	provide	VERB
sc-3023	146	21	higher	high	ADJ
sc-3023	146	22	performance	performance	NOUN
sc-3023	146	23	with	with	ADP
sc-3023	146	24	time	time	NOUN
sc-3023	146	25	-	-	PUNCT
sc-3023	146	26	series	series	NOUN
sc-3023	146	27	data	datum	NOUN
sc-3023	146	28	that	that	PRON
sc-3023	146	29	has	have	VERB
sc-3023	146	30	seasonal	seasonal	ADJ
sc-3023	146	31	affects	affect	NOUN
sc-3023	146	32	.	.	PUNCT
sc-3023	147	1	the	the	DET
sc-3023	147	2	following	follow	VERB
sc-3023	147	3	equation	equation	NOUN
sc-3023	147	4	is	be	AUX
sc-3023	147	5	used	use	VERB
sc-3023	147	6	to	to	PART
sc-3023	147	7	combine	combine	VERB
sc-3023	147	8	these	these	DET
sc-3023	147	9	ingredients	ingredient	NOUN
sc-3023	147	10	:	:	PUNCT
sc-3023	147	11	y(t)=g(t)+s(t)+h(t)+εt	y(t)=g(t)+s(t)+h(t)+εt	NOUN
sc-3023	147	12	(	(	PUNCT
sc-3023	147	13	2	2	NUM
sc-3023	147	14	)	)	PUNCT
sc-3023	147	15	where	where	SCONJ
sc-3023	147	16	g(t	g(t	PROPN
sc-3023	147	17	)	)	PUNCT
sc-3023	147	18	represents	represent	VERB
sc-3023	147	19	the	the	DET
sc-3023	147	20	trend	trend	NOUN
sc-3023	147	21	,	,	PUNCT
sc-3023	147	22	which	which	PRON
sc-3023	147	23	is	be	AUX
sc-3023	147	24	non	non	ADJ
sc-3023	147	25	-	-	ADJ
sc-3023	147	26	periodic	periodic	ADJ
sc-3023	147	27	growth	growth	NOUN
sc-3023	147	28	changes	change	NOUN
sc-3023	147	29	,	,	PUNCT
sc-3023	147	30	s(t	s(t	PROPN
sc-3023	147	31	)	)	PUNCT
sc-3023	147	32	reflects	reflect	VERB
sc-3023	147	33	seasonal	seasonal	ADJ
sc-3023	147	34	variations	variation	NOUN
sc-3023	147	35	,	,	PUNCT
sc-3023	147	36	and	and	CCONJ
sc-3023	147	37	h(t	h(t	PROPN
sc-3023	147	38	)	)	PUNCT
sc-3023	147	39	describes	describe	VERB
sc-3023	147	40	the	the	DET
sc-3023	147	41	effects	effect	NOUN
sc-3023	147	42	of	of	ADP
sc-3023	147	43	holidays	holiday	NOUN
sc-3023	147	44	.	.	PUNCT
sc-3023	148	1	the	the	DET
sc-3023	148	2	following	follow	VERB
sc-3023	148	3	equation	equation	NOUN
sc-3023	148	4	defines	define	VERB
sc-3023	148	5	the	the	DET
sc-3023	148	6	trend	trend	NOUN
sc-3023	148	7	:	:	PUNCT
sc-3023	148	8	𝑔(𝑡)=𝐶(𝑡	𝑔(𝑡)=𝐶(𝑡	NUM
sc-3023	148	9	)	)	PUNCT
sc-3023	148	10	/	/	SYM
sc-3023	148	11	1+𝑒𝑥𝑝	1+𝑒𝑥𝑝	NUM
sc-3023	148	12	(	(	PUNCT
sc-3023	148	13	−(𝑘+𝛼(𝑡)𝑇𝛿	−(𝑘+𝛼(𝑡)𝑇𝛿	NOUN
sc-3023	148	14	)	)	PUNCT
sc-3023	148	15	(	(	PUNCT
sc-3023	148	16	𝑡−(𝑚+𝛼(𝑡)𝑇𝛾	𝑡−(𝑚+𝛼(𝑡)𝑇𝛾	PROPN
sc-3023	148	17	)	)	PUNCT
sc-3023	148	18	)	)	PUNCT
sc-3023	148	19	)	)	PUNCT
sc-3023	149	1	(	(	PUNCT
sc-3023	149	2	3	3	X
sc-3023	149	3	)	)	PUNCT
sc-3023	149	4	where	where	SCONJ
sc-3023	149	5	c(t	c(t	NOUN
sc-3023	149	6	)	)	PUNCT
sc-3023	149	7	is	be	AUX
sc-3023	149	8	the	the	DET
sc-3023	149	9	carrying	carrying	NOUN
sc-3023	149	10	capacity	capacity	NOUN
sc-3023	149	11	,	,	PUNCT
sc-3023	149	12	k	k	PROPN
sc-3023	149	13	is	be	AUX
sc-3023	149	14	the	the	DET
sc-3023	149	15	growth	growth	NOUN
sc-3023	149	16	rate	rate	NOUN
sc-3023	149	17	,	,	PUNCT
sc-3023	149	18	and	and	CCONJ
sc-3023	149	19	m	m	PROPN
sc-3023	149	20	is	be	AUX
sc-3023	149	21	an	an	DET
sc-3023	149	22	offset	offset	NOUN
sc-3023	149	23	parameter	parameter	NOUN
sc-3023	149	24	.	.	PUNCT
sc-3023	150	1	the	the	DET
sc-3023	150	2	precision	precision	NOUN
sc-3023	150	3	,	,	PUNCT
sc-3023	150	4	speed	speed	NOUN
sc-3023	150	5	,	,	PUNCT
sc-3023	150	6	and	and	CCONJ
sc-3023	150	7	resilience	resilience	NOUN
sc-3023	150	8	to	to	ADP
sc-3023	150	9	outliers	outlier	NOUN
sc-3023	150	10	and	and	CCONJ
sc-3023	150	11	trend	trend	VERB
sc-3023	150	12	shifts	shift	NOUN
sc-3023	150	13	of	of	ADP
sc-3023	150	14	fb	fb	ADJ
sc-3023	150	15	-	-	PUNCT
sc-3023	150	16	prophet	prophet	NOUN
sc-3023	150	17	are	be	AUX
sc-3023	150	18	well	well	ADV
sc-3023	150	19	-	-	PUNCT
sc-3023	150	20	known	know	VERB
sc-3023	150	21	.	.	PUNCT
sc-3023	151	1	it	it	PRON
sc-3023	151	2	is	be	AUX
sc-3023	151	3	totally	totally	ADV
sc-3023	151	4	automated	automate	VERB
sc-3023	151	5	,	,	PUNCT
sc-3023	151	6	allowing	allow	VERB
sc-3023	151	7	it	it	PRON
sc-3023	151	8	to	to	PART
sc-3023	151	9	produce	produce	VERB
sc-3023	151	10	an	an	DET
sc-3023	151	11	accurate	accurate	ADJ
sc-3023	151	12	forecast	forecast	NOUN
sc-3023	151	13	from	from	ADP
sc-3023	151	14	a	a	DET
sc-3023	151	15	jumbled	jumbled	ADJ
sc-3023	151	16	set	set	NOUN
sc-3023	151	17	of	of	ADP
sc-3023	151	18	data	datum	NOUN
sc-3023	151	19	without	without	ADP
sc-3023	151	20	the	the	DET
sc-3023	151	21	need	need	NOUN
sc-3023	151	22	for	for	ADP
sc-3023	151	23	human	human	ADJ
sc-3023	151	24	intervention	intervention	NOUN
sc-3023	151	25	.	.	PUNCT
sc-3023	152	1	it	it	PRON
sc-3023	152	2	's	be	AUX
sc-3023	152	3	an	an	DET
sc-3023	152	4	additive	additive	ADJ
sc-3023	152	5	regression	regression	NOUN
sc-3023	152	6	model	model	NOUN
sc-3023	152	7	with	with	ADP
sc-3023	152	8	trends	trend	NOUN
sc-3023	152	9	like	like	ADP
sc-3023	152	10	a	a	DET
sc-3023	152	11	piecewise	piecewise	NOUN
sc-3023	152	12	linear	linear	ADJ
sc-3023	152	13	growth	growth	NOUN
sc-3023	152	14	curve	curve	NOUN
sc-3023	152	15	or	or	CCONJ
sc-3023	152	16	a	a	DET
sc-3023	152	17	logistic	logistic	ADJ
sc-3023	152	18	growth	growth	NOUN
sc-3023	152	19	curve	curve	NOUN
sc-3023	152	20	.	.	PUNCT
sc-3023	153	1	it	it	PRON
sc-3023	153	2	recognizes	recognize	VERB
sc-3023	153	3	changes	change	NOUN
sc-3023	153	4	in	in	ADP
sc-3023	153	5	patterns	pattern	NOUN
sc-3023	153	6	in	in	ADP
sc-3023	153	7	real	real	ADJ
sc-3023	153	8	time	time	NOUN
sc-3023	153	9	by	by	ADP
sc-3023	153	10	identifying	identify	VERB
sc-3023	153	11	data	datum	NOUN
sc-3023	153	12	change	change	NOUN
sc-3023	153	13	points	point	NOUN
sc-3023	153	14	[	[	X
sc-3023	153	15	17	17	NUM
sc-3023	153	16	]	]	SYM
sc-3023	153	17	.	.	PUNCT
sc-3023	154	1	4	4	X
sc-3023	154	2	.	.	X
sc-3023	154	3	results	result	VERB
sc-3023	154	4	this	this	DET
sc-3023	154	5	section	section	NOUN
sc-3023	154	6	describes	describe	VERB
sc-3023	154	7	the	the	DET
sc-3023	154	8	application	application	NOUN
sc-3023	154	9	of	of	ADP
sc-3023	154	10	two	two	NUM
sc-3023	154	11	forecasting	forecasting	NOUN
sc-3023	154	12	models	model	NOUN
sc-3023	154	13	.	.	PUNCT
sc-3023	155	1	as	as	ADP
sc-3023	155	2	performance	performance	NOUN
sc-3023	155	3	measures	measure	NOUN
sc-3023	155	4	,	,	PUNCT
sc-3023	155	5	rmse	rmse	NOUN
sc-3023	155	6	(	(	PUNCT
sc-3023	155	7	root	root	NOUN
sc-3023	155	8	mean	mean	VERB
sc-3023	155	9	squared	square	VERB
sc-3023	155	10	error	error	NOUN
sc-3023	155	11	)	)	PUNCT
sc-3023	155	12	,	,	PUNCT
sc-3023	155	13	mae	mae	PROPN
sc-3023	155	14	(	(	PUNCT
sc-3023	155	15	mean	mean	ADJ
sc-3023	155	16	absolute	absolute	ADJ
sc-3023	155	17	error	error	NOUN
sc-3023	155	18	)	)	PUNCT
sc-3023	155	19	,	,	PUNCT
sc-3023	155	20	mean	mean	VERB
sc-3023	155	21	absolute	absolute	ADJ
sc-3023	155	22	percentage	percentage	NOUN
sc-3023	155	23	error	error	NOUN
sc-3023	155	24	(	(	PUNCT
sc-3023	155	25	mape	mape	NOUN
sc-3023	155	26	)	)	PUNCT
sc-3023	155	27	,	,	PUNCT
sc-3023	155	28	and	and	CCONJ
sc-3023	155	29	mean	mean	VERB
sc-3023	155	30	absolute	absolute	ADJ
sc-3023	155	31	scaled	scale	VERB
sc-3023	155	32	error	error	NOUN
sc-3023	155	33	(	(	PUNCT
sc-3023	155	34	mase	mase	PROPN
sc-3023	155	35	)	)	PUNCT
sc-3023	155	36	rates	rate	NOUN
sc-3023	155	37	are	be	AUX
sc-3023	155	38	used	use	VERB
sc-3023	155	39	to	to	PART
sc-3023	155	40	evaluate	evaluate	VERB
sc-3023	155	41	forecasting	forecasting	NOUN
sc-3023	155	42	algorithms	algorithm	NOUN
sc-3023	155	43	.	.	PUNCT
sc-3023	156	1	the	the	DET
sc-3023	156	2	following	follow	VERB
sc-3023	156	3	are	be	AUX
sc-3023	156	4	the	the	DET
sc-3023	156	5	definitions	definition	NOUN
sc-3023	156	6	of	of	ADP
sc-3023	156	7	rmse	rmse	NOUN
sc-3023	156	8	,	,	PUNCT
sc-3023	156	9	mae	mae	PROPN
sc-3023	156	10	,	,	PUNCT
sc-3023	156	11	mape	mape	NOUN
sc-3023	156	12	,	,	PUNCT
sc-3023	156	13	and	and	CCONJ
sc-3023	156	14	mase	mase	PROPN
sc-3023	156	15	:	:	PUNCT
sc-3023	156	16	(	(	PUNCT
sc-3023	156	17	4	4	NUM
sc-3023	156	18	)	)	PUNCT
sc-3023	156	19	(	(	PUNCT
sc-3023	156	20	4	4	NUM
sc-3023	156	21	)	)	PUNCT
sc-3023	156	22	(	(	PUNCT
sc-3023	156	23	5	5	X
sc-3023	156	24	)	)	PUNCT
sc-3023	156	25	eai	eai	NOUN
sc-3023	156	26	endorsed	endorse	VERB
sc-3023	156	27	transactions	transaction	NOUN
sc-3023	156	28	on	on	ADP
sc-3023	156	29	smart	smart	ADJ
sc-3023	156	30	cities	city	NOUN
sc-3023	156	31	|	|	ADV
sc-3023	156	32	volume	volume	VERB
sc-3023	156	33	7	7	NUM
sc-3023	156	34	|	|	NOUN
sc-3023	156	35	issue	issue	NOUN
sc-3023	156	36	2	2	NUM
sc-3023	157	1	|	|	NOUN
sc-3023	157	2	hussein	hussein	PROPN
sc-3023	157	3	ali	ali	PROPN
sc-3023	157	4	hussein	hussein	PROPN
sc-3023	157	5	,	,	PUNCT
sc-3023	157	6	mukhtar	mukhtar	PROPN
sc-3023	157	7	m.	m.	PROPN
sc-3023	157	8	e.	e.	PROPN
sc-3023	157	9	mahmoud	mahmoud	PROPN
sc-3023	157	10	and	and	CCONJ
sc-3023	157	11	haroun	haroun	PROPN
sc-3023	157	12	a.	a.	PROPN
sc-3023	157	13	eisa	eisa	PROPN
sc-3023	157	14	6	6	NUM
sc-3023	157	15	where	where	SCONJ
sc-3023	157	16	n	n	PRON
sc-3023	157	17	denotes	denote	VERB
sc-3023	157	18	the	the	DET
sc-3023	157	19	number	number	NOUN
sc-3023	157	20	of	of	ADP
sc-3023	157	21	data	datum	NOUN
sc-3023	157	22	points	point	NOUN
sc-3023	157	23	,	,	PUNCT
sc-3023	157	24	𝑦(𝑖	𝑦(𝑖	NOUN
sc-3023	157	25	)	)	PUNCT
sc-3023	157	26	is	be	AUX
sc-3023	157	27	the	the	DET
sc-3023	157	28	actual	actual	ADJ
sc-3023	157	29	value	value	NOUN
sc-3023	157	30	of	of	ADP
sc-3023	157	31	𝑖th	𝑖th	PROPN
sc-3023	157	32	data	datum	NOUN
sc-3023	157	33	point	point	NOUN
sc-3023	157	34	and	and	CCONJ
sc-3023	157	35	�	�	PROPN
sc-3023	157	36	̂	̂	NOUN
sc-3023	157	37	�	�	NOUN
sc-3023	157	38	(𝑖	(𝑖	NOUN
sc-3023	157	39	)	)	PUNCT
sc-3023	157	40	is	be	AUX
sc-3023	157	41	the	the	DET
sc-3023	157	42	predicted	predict	VERB
sc-3023	157	43	value	value	NOUN
sc-3023	157	44	for	for	ADP
sc-3023	157	45	the	the	DET
sc-3023	157	46	𝑖th	𝑖th	PROPN
sc-3023	157	47	data	data	PROPN
sc-3023	157	48	point	point	NOUN
sc-3023	157	49	.	.	PUNCT
sc-3023	158	1	(	(	PUNCT
sc-3023	158	2	6	6	NUM
sc-3023	158	3	)	)	PUNCT
sc-3023	158	4	where	where	SCONJ
sc-3023	158	5	m	m	PRON
sc-3023	158	6	denotes	denote	NOUN
sc-3023	158	7	mean	mean	VERB
sc-3023	158	8	absolute	absolute	ADJ
sc-3023	158	9	percentage	percentage	NOUN
sc-3023	158	10	error	error	NOUN
sc-3023	158	11	,	,	PUNCT
sc-3023	158	12	n	n	PRON
sc-3023	158	13	denotes	denote	VERB
sc-3023	158	14	the	the	DET
sc-3023	158	15	number	number	NOUN
sc-3023	158	16	of	of	ADP
sc-3023	158	17	times	time	NOUN
sc-3023	158	18	the	the	DET
sc-3023	158	19	summation	summation	NOUN
sc-3023	158	20	iteration	iteration	NOUN
sc-3023	158	21	happens	happen	VERB
sc-3023	158	22	,	,	PUNCT
sc-3023	158	23	at	at	ADP
sc-3023	158	24	denotes	denote	NOUN
sc-3023	158	25	the	the	DET
sc-3023	158	26	actual	actual	ADJ
sc-3023	158	27	value	value	NOUN
sc-3023	158	28	and	and	CCONJ
sc-3023	158	29	ft	ft	NOUN
sc-3023	158	30	denotes	denote	NOUN
sc-3023	158	31	the	the	DET
sc-3023	158	32	forecast	forecast	NOUN
sc-3023	158	33	value	value	NOUN
sc-3023	158	34	.	.	PUNCT
sc-3023	159	1	(	(	PUNCT
sc-3023	159	2	7	7	NUM
sc-3023	159	3	)	)	PUNCT
sc-3023	159	4	(	(	PUNCT
sc-3023	159	5	7	7	X
sc-3023	159	6	)	)	PUNCT
sc-3023	159	7	where	where	SCONJ
sc-3023	159	8	ej	ej	PROPN
sc-3023	159	9	is	be	AUX
sc-3023	159	10	the	the	DET
sc-3023	159	11	prediction	prediction	NOUN
sc-3023	159	12	error	error	NOUN
sc-3023	159	13	for	for	ADP
sc-3023	159	14	a	a	DET
sc-3023	159	15	specific	specific	ADJ
sc-3023	159	16	time	time	NOUN
sc-3023	159	17	,	,	PUNCT
sc-3023	159	18	defined	define	VERB
sc-3023	159	19	as	as	ADP
sc-3023	159	20	the	the	DET
sc-3023	159	21	actual	actual	ADJ
sc-3023	159	22	value	value	NOUN
sc-3023	159	23	(	(	PUNCT
sc-3023	159	24	yj	yj	PROPN
sc-3023	159	25	)	)	PUNCT
sc-3023	159	26	minus	minus	CCONJ
sc-3023	159	27	the	the	DET
sc-3023	159	28	predicted	predict	VERB
sc-3023	159	29	value	value	NOUN
sc-3023	159	30	(	(	PUNCT
sc-3023	159	31	fj	fj	INTJ
sc-3023	159	32	)	)	PUNCT
sc-3023	159	33	for	for	ADP
sc-3023	159	34	that	that	DET
sc-3023	159	35	period	period	NOUN
sc-3023	159	36	:	:	PUNCT
sc-3023	159	37	ej	ej	PROPN
sc-3023	159	38	=	=	PROPN
sc-3023	159	39	yj	yj	PROPN
sc-3023	159	40	fj	fj	PROPN
sc-3023	159	41	,	,	PUNCT
sc-3023	159	42	and	and	CCONJ
sc-3023	159	43	the	the	DET
sc-3023	159	44	denominator	denominator	NOUN
sc-3023	159	45	is	be	AUX
sc-3023	159	46	the	the	DET
sc-3023	159	47	mean	mean	ADJ
sc-3023	159	48	absolute	absolute	ADJ
sc-3023	159	49	error	error	NOUN
sc-3023	159	50	of	of	ADP
sc-3023	159	51	the	the	DET
sc-3023	159	52	one	one	NUM
sc-3023	159	53	-	-	PUNCT
sc-3023	159	54	step	step	NOUN
sc-3023	159	55	.	.	PUNCT
sc-3023	160	1	4.1	4.1	NUM
sc-3023	160	2	arima	arima	PROPN
sc-3023	160	3	model	model	NOUN
sc-3023	160	4	results	result	NOUN
sc-3023	160	5	:	:	PUNCT
sc-3023	160	6	to	to	PART
sc-3023	160	7	estimate	estimate	VERB
sc-3023	160	8	the	the	DET
sc-3023	160	9	parameters	parameter	NOUN
sc-3023	160	10	q	q	PROPN
sc-3023	160	11	and	and	CCONJ
sc-3023	160	12	p	p	X
sc-3023	160	13	,	,	PUNCT
sc-3023	160	14	the	the	DET
sc-3023	160	15	arima	arima	PROPN
sc-3023	160	16	model	model	NOUN
sc-3023	160	17	evaluates	evaluate	VERB
sc-3023	160	18	the	the	DET
sc-3023	160	19	autocorrelation	autocorrelation	NOUN
sc-3023	160	20	function	function	NOUN
sc-3023	160	21	(	(	PUNCT
sc-3023	160	22	acf	acf	PROPN
sc-3023	160	23	)	)	PUNCT
sc-3023	160	24	and	and	CCONJ
sc-3023	160	25	partial	partial	ADJ
sc-3023	160	26	autocorrelation	autocorrelation	NOUN
sc-3023	160	27	function	function	NOUN
sc-3023	160	28	(	(	PUNCT
sc-3023	160	29	pacf	pacf	NOUN
sc-3023	160	30	)	)	PUNCT
sc-3023	160	31	graphs	graph	NOUN
sc-3023	160	32	.	.	PUNCT
sc-3023	161	1	acf	acf	NOUN
sc-3023	161	2	measures	measure	VERB
sc-3023	161	3	the	the	DET
sc-3023	161	4	degree	degree	NOUN
sc-3023	161	5	of	of	ADP
sc-3023	161	6	correlation	correlation	NOUN
sc-3023	161	7	between	between	ADP
sc-3023	161	8	a	a	DET
sc-3023	161	9	time	time	NOUN
sc-3023	161	10	series	series	NOUN
sc-3023	161	11	and	and	CCONJ
sc-3023	161	12	its	its	PRON
sc-3023	161	13	lagged	lag	VERB
sc-3023	161	14	values	value	NOUN
sc-3023	161	15	.	.	PUNCT
sc-3023	162	1	after	after	SCONJ
sc-3023	162	2	the	the	DET
sc-3023	162	3	linear	linear	ADJ
sc-3023	162	4	effects	effect	NOUN
sc-3023	162	5	of	of	ADP
sc-3023	162	6	the	the	DET
sc-3023	162	7	lags	lag	NOUN
sc-3023	162	8	in	in	ADP
sc-3023	162	9	between	between	ADP
sc-3023	162	10	are	be	AUX
sc-3023	162	11	removed	remove	VERB
sc-3023	162	12	,	,	PUNCT
sc-3023	162	13	pacf	pacf	NOUN
sc-3023	162	14	indicates	indicate	VERB
sc-3023	162	15	the	the	DET
sc-3023	162	16	correlation	correlation	NOUN
sc-3023	162	17	between	between	ADP
sc-3023	162	18	the	the	DET
sc-3023	162	19	time	time	NOUN
sc-3023	162	20	series	series	NOUN
sc-3023	162	21	and	and	CCONJ
sc-3023	162	22	the	the	DET
sc-3023	162	23	lag	lag	NOUN
sc-3023	162	24	.	.	PUNCT
sc-3023	163	1	the	the	DET
sc-3023	163	2	acf	acf	PROPN
sc-3023	163	3	and	and	CCONJ
sc-3023	163	4	pacf	pacf	NOUN
sc-3023	163	5	graphs	graph	NOUN
sc-3023	163	6	from	from	ADP
sc-3023	163	7	the	the	DET
sc-3023	163	8	disease	disease	NOUN
sc-3023	163	9	dataset	dataset	VERB
sc-3023	163	10	are	be	AUX
sc-3023	163	11	given	give	VERB
sc-3023	163	12	in	in	ADP
sc-3023	163	13	figures	figure	NOUN
sc-3023	163	14	5	5	NUM
sc-3023	163	15	and	and	CCONJ
sc-3023	163	16	6	6	NUM
sc-3023	163	17	for	for	ADP
sc-3023	163	18	malaria	malaria	NOUN
sc-3023	163	19	disease	disease	NOUN
sc-3023	163	20	and	and	CCONJ
sc-3023	163	21	7	7	NUM
sc-3023	163	22	and	and	CCONJ
sc-3023	163	23	8	8	NUM
sc-3023	163	24	for	for	ADP
sc-3023	163	25	pneumonia	pneumonia	NOUN
sc-3023	163	26	disease	disease	NOUN
sc-3023	163	27	,	,	PUNCT
sc-3023	163	28	respectively	respectively	ADV
sc-3023	163	29	.	.	PUNCT
sc-3023	164	1	figure	figure	NOUN
sc-3023	164	2	5	5	NUM
sc-3023	164	3	.	.	PUNCT
sc-3023	164	4	illustrates	illustrate	VERB
sc-3023	164	5	acf	acf	PROPN
sc-3023	164	6	in	in	ADP
sc-3023	164	7	malaria	malaria	NOUN
sc-3023	164	8	disease	disease	NOUN
sc-3023	164	9	.	.	PUNCT
sc-3023	165	1	figure	figure	NOUN
sc-3023	165	2	6	6	NUM
sc-3023	165	3	.	.	PUNCT
sc-3023	165	4	illustrates	illustrate	VERB
sc-3023	165	5	pacf	pacf	NOUN
sc-3023	165	6	in	in	ADP
sc-3023	165	7	malaria	malaria	NOUN
sc-3023	165	8	disease	disease	NOUN
sc-3023	165	9	.	.	PUNCT
sc-3023	166	1	figure	figure	NOUN
sc-3023	166	2	7	7	NUM
sc-3023	166	3	.	.	PROPN
sc-3023	166	4	illustrates	illustrate	VERB
sc-3023	166	5	acf	acf	PROPN
sc-3023	166	6	in	in	ADP
sc-3023	166	7	pneumonia	pneumonia	NOUN
sc-3023	166	8	disease	disease	NOUN
sc-3023	166	9	.	.	PUNCT
sc-3023	167	1	figure	figure	NOUN
sc-3023	167	2	8	8	NUM
sc-3023	167	3	.	.	PUNCT
sc-3023	167	4	illustrates	illustrate	VERB
sc-3023	167	5	pacf	pacf	NOUN
sc-3023	167	6	in	in	ADP
sc-3023	167	7	pneumonia	pneumonia	NOUN
sc-3023	167	8	disease	disease	NOUN
sc-3023	167	9	.	.	PUNCT
sc-3023	168	1	from	from	ADP
sc-3023	168	2	the	the	DET
sc-3023	168	3	aforementioned	aforementioned	ADJ
sc-3023	168	4	figures	figure	NOUN
sc-3023	168	5	,	,	PUNCT
sc-3023	168	6	we	we	PRON
sc-3023	168	7	must	must	AUX
sc-3023	168	8	select	select	VERB
sc-3023	168	9	the	the	DET
sc-3023	168	10	best	good	ADJ
sc-3023	168	11	(	(	PUNCT
sc-3023	168	12	p	p	X
sc-3023	168	13	,	,	PUNCT
sc-3023	168	14	d	d	NOUN
sc-3023	168	15	,	,	PUNCT
sc-3023	168	16	q	q	NOUN
sc-3023	168	17	)	)	PUNCT
sc-3023	168	18	pair	pair	NOUN
sc-3023	168	19	with	with	ADP
sc-3023	168	20	the	the	DET
sc-3023	168	21	lowest	low	ADJ
sc-3023	168	22	rmse	rmse	NOUN
sc-3023	168	23	,	,	PUNCT
sc-3023	168	24	mae	mae	PROPN
sc-3023	168	25	,	,	PUNCT
sc-3023	168	26	mape	mape	NOUN
sc-3023	168	27	,	,	PUNCT
sc-3023	168	28	and	and	CCONJ
sc-3023	168	29	mase	mase	PROPN
sc-3023	168	30	.	.	PROPN
sc-3023	169	1	based	base	VERB
sc-3023	169	2	on	on	ADP
sc-3023	169	3	the	the	DET
sc-3023	169	4	results	result	NOUN
sc-3023	169	5	,	,	PUNCT
sc-3023	169	6	the	the	DET
sc-3023	169	7	arima	arima	PROPN
sc-3023	169	8	approach	approach	NOUN
sc-3023	169	9	has	have	VERB
sc-3023	169	10	the	the	DET
sc-3023	169	11	lowest	low	ADJ
sc-3023	169	12	rmse	rmse	NOUN
sc-3023	169	13	,	,	PUNCT
sc-3023	169	14	mae	mae	PROPN
sc-3023	169	15	,	,	PUNCT
sc-3023	169	16	mape	mape	NOUN
sc-3023	169	17	,	,	PUNCT
sc-3023	169	18	and	and	CCONJ
sc-3023	169	19	mase	mase	PROPN
sc-3023	169	20	from	from	ADP
sc-3023	169	21	the	the	DET
sc-3023	169	22	figures	figure	NOUN
sc-3023	169	23	above	above	ADV
sc-3023	169	24	.	.	PUNCT
sc-3023	170	1	based	base	VERB
sc-3023	170	2	on	on	ADP
sc-3023	170	3	the	the	DET
sc-3023	170	4	data	datum	NOUN
sc-3023	170	5	,	,	PUNCT
sc-3023	170	6	the	the	DET
sc-3023	170	7	best	good	ADJ
sc-3023	170	8	(	(	PUNCT
sc-3023	170	9	p	p	X
sc-3023	170	10	,	,	PUNCT
sc-3023	170	11	d	d	NOUN
sc-3023	170	12	,	,	PUNCT
sc-3023	170	13	q	q	ADJ
sc-3023	170	14	)	)	PUNCT
sc-3023	170	15	combination	combination	NOUN
sc-3023	170	16	for	for	ADP
sc-3023	170	17	malaria	malaria	NOUN
sc-3023	170	18	disease	disease	NOUN
sc-3023	170	19	is	be	AUX
sc-3023	170	20	chosen	choose	VERB
sc-3023	170	21	as	as	ADP
sc-3023	170	22	(	(	PUNCT
sc-3023	170	23	0	0	NUM
sc-3023	170	24	,	,	PUNCT
sc-3023	170	25	1	1	NUM
sc-3023	170	26	,	,	PUNCT
sc-3023	170	27	0	0	NUM
sc-3023	170	28	)	)	PUNCT
sc-3023	170	29	,	,	PUNCT
sc-3023	170	30	resulting	result	VERB
sc-3023	170	31	in	in	ADP
sc-3023	170	32	an	an	DET
sc-3023	170	33	rmse	rmse	NOUN
sc-3023	170	34	of	of	ADP
sc-3023	170	35	182.8	182.8	NUM
sc-3023	170	36	,	,	PUNCT
sc-3023	170	37	mae	mae	PROPN
sc-3023	170	38	of	of	ADP
sc-3023	170	39	141.6	141.6	NUM
sc-3023	170	40	,	,	PUNCT
sc-3023	170	41	mape	mape	NOUN
sc-3023	170	42	of	of	ADP
sc-3023	170	43	0.0057	0.0057	NUM
sc-3023	170	44	,	,	PUNCT
sc-3023	170	45	and	and	CCONJ
sc-3023	170	46	mase	mase	PROPN
sc-3023	170	47	of	of	ADP
sc-3023	170	48	0.0537	0.0537	NUM
sc-3023	170	49	for	for	ADP
sc-3023	170	50	the	the	DET
sc-3023	170	51	arima	arima	PROPN
sc-3023	170	52	approach	approach	NOUN
sc-3023	170	53	.	.	PUNCT
sc-3023	171	1	as	as	SCONJ
sc-3023	171	2	demonstrated	demonstrate	VERB
sc-3023	171	3	in	in	ADP
sc-3023	171	4	figures	figure	NOUN
sc-3023	171	5	(	(	PUNCT
sc-3023	171	6	9	9	NUM
sc-3023	171	7	)	)	PUNCT
sc-3023	171	8	and	and	CCONJ
sc-3023	171	9	(	(	PUNCT
sc-3023	171	10	10	10	NUM
sc-3023	171	11	)	)	PUNCT
sc-3023	171	12	for	for	ADP
sc-3023	171	13	the	the	DET
sc-3023	171	14	effective	effective	ADJ
sc-3023	171	15	arima	arima	NOUN
sc-3023	171	16	forecasting	forecasting	NOUN
sc-3023	171	17	process	process	NOUN
sc-3023	171	18	for	for	ADP
sc-3023	171	19	5	5	NUM
sc-3023	171	20	months	month	NOUN
sc-3023	171	21	on	on	ADP
sc-3023	171	22	malaria	malaria	NOUN
sc-3023	171	23	and	and	CCONJ
sc-3023	171	24	pneumonia	pneumonia	NOUN
sc-3023	171	25	disease	disease	NOUN
sc-3023	171	26	,	,	PUNCT
sc-3023	171	27	the	the	DET
sc-3023	171	28	optimal	optimal	ADJ
sc-3023	171	29	p	p	X
sc-3023	171	30	,	,	PUNCT
sc-3023	171	31	d	d	NOUN
sc-3023	171	32	,	,	PUNCT
sc-3023	171	33	and	and	CCONJ
sc-3023	171	34	q	q	DET
sc-3023	171	35	pair	pair	NOUN
sc-3023	171	36	is	be	AUX
sc-3023	171	37	chosen	choose	VERB
sc-3023	171	38	eai	eai	PROPN
sc-3023	171	39	endorsed	endorse	VERB
sc-3023	171	40	transactions	transaction	NOUN
sc-3023	171	41	on	on	ADP
sc-3023	171	42	smart	smart	ADJ
sc-3023	171	43	cities	city	NOUN
sc-3023	171	44	|	|	ADV
sc-3023	171	45	volume	volume	VERB
sc-3023	171	46	7	7	NUM
sc-3023	171	47	|	|	NOUN
sc-3023	171	48	issue	issue	NOUN
sc-3023	171	49	2	2	NUM
sc-3023	171	50	|	|	NOUN
sc-3023	171	51	performance	performance	NOUN
sc-3023	171	52	evaluation	evaluation	NOUN
sc-3023	171	53	of	of	ADP
sc-3023	171	54	arima	arima	PROPN
sc-3023	171	55	and	and	CCONJ
sc-3023	171	56	fb	fb	ADJ
sc-3023	171	57	-	-	PUNCT
sc-3023	171	58	prophet	prophet	NOUN
sc-3023	171	59	forecasting	forecasting	NOUN
sc-3023	171	60	methods	method	NOUN
sc-3023	171	61	in	in	ADP
sc-3023	171	62	the	the	DET
sc-3023	171	63	context	context	NOUN
sc-3023	171	64	of	of	ADP
sc-3023	171	65	endemic	endemic	ADJ
sc-3023	171	66	diseases	disease	NOUN
sc-3023	171	67	:	:	PUNCT
sc-3023	171	68	a	a	DET
sc-3023	171	69	case	case	NOUN
sc-3023	171	70	study	study	NOUN
sc-3023	171	71	of	of	ADP
sc-3023	171	72	gedaref	gedaref	NOUN
sc-3023	171	73	state	state	NOUN
sc-3023	171	74	in	in	ADP
sc-3023	171	75	sudan	sudan	PROPN
sc-3023	171	76	7	7	NUM
sc-3023	171	77	as	as	ADP
sc-3023	171	78	(	(	PUNCT
sc-3023	171	79	0	0	NUM
sc-3023	171	80	,	,	PUNCT
sc-3023	171	81	0	0	NUM
sc-3023	171	82	,	,	PUNCT
sc-3023	171	83	2	2	NUM
sc-3023	171	84	)	)	PUNCT
sc-3023	171	85	for	for	ADP
sc-3023	171	86	pneumonia	pneumonia	NOUN
sc-3023	171	87	disease	disease	NOUN
sc-3023	171	88	,	,	PUNCT
sc-3023	171	89	resulting	result	VERB
sc-3023	171	90	in	in	ADP
sc-3023	171	91	an	an	DET
sc-3023	171	92	rmse	rmse	NOUN
sc-3023	171	93	of	of	ADP
sc-3023	171	94	1923.9	1923.9	NUM
sc-3023	171	95	,	,	PUNCT
sc-3023	171	96	mae	mae	PROPN
sc-3023	171	97	of	of	ADP
sc-3023	171	98	1578.3	1578.3	NUM
sc-3023	171	99	,	,	PUNCT
sc-3023	171	100	mape	mape	NOUN
sc-3023	171	101	of	of	ADP
sc-3023	171	102	0.0834	0.0834	NUM
sc-3023	171	103	,	,	PUNCT
sc-3023	171	104	and	and	CCONJ
sc-3023	171	105	mase	mase	PROPN
sc-3023	171	106	of	of	ADP
sc-3023	171	107	1.4399	1.4399	PROPN
sc-3023	171	108	.	.	PUNCT
sc-3023	172	1	figure	figure	NOUN
sc-3023	172	2	9	9	NUM
sc-3023	172	3	.	.	PUNCT
sc-3023	173	1	forecasting	forecast	VERB
sc-3023	173	2	malaria	malaria	NOUN
sc-3023	173	3	disease	disease	NOUN
sc-3023	173	4	using	use	VERB
sc-3023	173	5	the	the	DET
sc-3023	173	6	arima	arima	PROPN
sc-3023	173	7	model	model	NOUN
sc-3023	173	8	.	.	PUNCT
sc-3023	174	1	figure	figure	NOUN
sc-3023	174	2	10	10	NUM
sc-3023	174	3	.	.	PUNCT
sc-3023	175	1	forecasting	forecast	VERB
sc-3023	175	2	pneumonia	pneumonia	NOUN
sc-3023	175	3	disease	disease	NOUN
sc-3023	175	4	using	use	VERB
sc-3023	175	5	the	the	DET
sc-3023	175	6	arima	arima	PROPN
sc-3023	175	7	model	model	NOUN
sc-3023	175	8	.	.	PUNCT
sc-3023	176	1	4.2	4.2	NUM
sc-3023	176	2	fb	fb	ADJ
sc-3023	176	3	-	-	PUNCT
sc-3023	176	4	prophet	prophet	NOUN
sc-3023	176	5	model	model	NOUN
sc-3023	176	6	results	result	NOUN
sc-3023	176	7	in	in	ADP
sc-3023	176	8	the	the	DET
sc-3023	176	9	application	application	NOUN
sc-3023	176	10	for	for	ADP
sc-3023	176	11	exploratory	exploratory	ADJ
sc-3023	176	12	data	datum	NOUN
sc-3023	176	13	analysis	analysis	NOUN
sc-3023	176	14	,	,	PUNCT
sc-3023	176	15	the	the	DET
sc-3023	176	16	parameters	parameter	NOUN
sc-3023	176	17	of	of	ADP
sc-3023	176	18	the	the	DET
sc-3023	176	19	fb	fb	ADJ
sc-3023	176	20	-	-	PUNCT
sc-3023	176	21	default	default	NOUN
sc-3023	176	22	prophet	prophet	NOUN
sc-3023	176	23	are	be	AUX
sc-3023	176	24	used	use	VERB
sc-3023	176	25	to	to	PART
sc-3023	176	26	make	make	VERB
sc-3023	176	27	an	an	DET
sc-3023	176	28	fb	fb	ADJ
sc-3023	176	29	-	-	PUNCT
sc-3023	176	30	prophet	prophet	NOUN
sc-3023	176	31	model	model	NOUN
sc-3023	176	32	.	.	PUNCT
sc-3023	177	1	these	these	DET
sc-3023	177	2	parameters	parameter	NOUN
sc-3023	177	3	are	be	AUX
sc-3023	177	4	changed	change	VERB
sc-3023	177	5	automatically	automatically	ADV
sc-3023	177	6	.	.	PUNCT
sc-3023	178	1	according	accord	VERB
sc-3023	178	2	to	to	ADP
sc-3023	178	3	the	the	DET
sc-3023	178	4	findings	finding	NOUN
sc-3023	178	5	,	,	PUNCT
sc-3023	178	6	the	the	DET
sc-3023	178	7	fb	fb	ADJ
sc-3023	178	8	-	-	PUNCT
sc-3023	178	9	prophet	prophet	NOUN
sc-3023	178	10	model	model	NOUN
sc-3023	178	11	for	for	ADP
sc-3023	178	12	malaria	malaria	NOUN
sc-3023	178	13	disease	disease	NOUN
sc-3023	178	14	has	have	VERB
sc-3023	178	15	an	an	DET
sc-3023	178	16	rmse	rmse	NOUN
sc-3023	178	17	of	of	ADP
sc-3023	178	18	2815.9	2815.9	NUM
sc-3023	178	19	,	,	PUNCT
sc-3023	178	20	mae	mae	PROPN
sc-3023	178	21	of	of	ADP
sc-3023	178	22	2614.6	2614.6	NUM
sc-3023	178	23	,	,	PUNCT
sc-3023	178	24	mape	mape	NOUN
sc-3023	178	25	of	of	ADP
sc-3023	178	26	0.1237	0.1237	NUM
sc-3023	178	27	,	,	PUNCT
sc-3023	178	28	and	and	CCONJ
sc-3023	178	29	mase	mase	PROPN
sc-3023	178	30	of	of	ADP
sc-3023	178	31	0.9907	0.9907	NUM
sc-3023	178	32	,	,	PUNCT
sc-3023	178	33	while	while	SCONJ
sc-3023	178	34	the	the	DET
sc-3023	178	35	fb	fb	ADJ
sc-3023	178	36	-	-	PUNCT
sc-3023	178	37	prophet	prophet	NOUN
sc-3023	178	38	model	model	NOUN
sc-3023	178	39	for	for	ADP
sc-3023	178	40	pneumonia	pneumonia	NOUN
sc-3023	178	41	disease	disease	NOUN
sc-3023	178	42	has	have	VERB
sc-3023	178	43	an	an	DET
sc-3023	178	44	rmse	rmse	NOUN
sc-3023	178	45	of	of	ADP
sc-3023	178	46	1923.9	1923.9	NUM
sc-3023	178	47	,	,	PUNCT
sc-3023	178	48	mae	mae	PROPN
sc-3023	178	49	of	of	ADP
sc-3023	178	50	1578.3	1578.3	NUM
sc-3023	178	51	,	,	PUNCT
sc-3023	178	52	mape	mape	NOUN
sc-3023	178	53	of	of	ADP
sc-3023	178	54	0.0834	0.0834	NUM
sc-3023	178	55	,	,	PUNCT
sc-3023	178	56	and	and	CCONJ
sc-3023	178	57	mase	mase	PROPN
sc-3023	178	58	of	of	ADP
sc-3023	178	59	1.4399	1.4399	PROPN
sc-3023	178	60	.	.	PUNCT
sc-3023	179	1	figures	figure	NOUN
sc-3023	179	2	11	11	NUM
sc-3023	179	3	and	and	CCONJ
sc-3023	179	4	12	12	NUM
sc-3023	179	5	show	show	VERB
sc-3023	179	6	how	how	SCONJ
sc-3023	179	7	arima	arima	PROPN
sc-3023	179	8	can	can	AUX
sc-3023	179	9	be	be	AUX
sc-3023	179	10	used	use	VERB
sc-3023	179	11	to	to	PART
sc-3023	179	12	make	make	VERB
sc-3023	179	13	accurate	accurate	ADJ
sc-3023	179	14	predictions	prediction	NOUN
sc-3023	179	15	about	about	ADP
sc-3023	179	16	malaria	malaria	NOUN
sc-3023	179	17	and	and	CCONJ
sc-3023	179	18	pneumonia	pneumonia	NOUN
sc-3023	179	19	over	over	ADP
sc-3023	179	20	a	a	DET
sc-3023	179	21	period	period	NOUN
sc-3023	179	22	of	of	ADP
sc-3023	179	23	5	5	NUM
sc-3023	179	24	months	month	NOUN
sc-3023	179	25	,	,	PUNCT
sc-3023	179	26	respectively	respectively	ADV
sc-3023	179	27	.	.	PUNCT
sc-3023	180	1	figure	figure	NOUN
sc-3023	180	2	11	11	NUM
sc-3023	180	3	.	.	PUNCT
sc-3023	181	1	forecasting	forecast	VERB
sc-3023	181	2	malaria	malaria	NOUN
sc-3023	181	3	disease	disease	NOUN
sc-3023	181	4	using	use	VERB
sc-3023	181	5	the	the	DET
sc-3023	181	6	fb	fb	ADJ
sc-3023	181	7	-	-	PUNCT
sc-3023	181	8	prophet	prophet	NOUN
sc-3023	181	9	model	model	NOUN
sc-3023	181	10	.	.	PUNCT
sc-3023	182	1	figure	figure	NOUN
sc-3023	182	2	12	12	NUM
sc-3023	182	3	.	.	PUNCT
sc-3023	183	1	forecasting	forecast	VERB
sc-3023	183	2	pneumonia	pneumonia	NOUN
sc-3023	183	3	disease	disease	NOUN
sc-3023	183	4	using	use	VERB
sc-3023	183	5	the	the	DET
sc-3023	183	6	fb	fb	ADJ
sc-3023	183	7	-	-	PUNCT
sc-3023	183	8	prophet	prophet	NOUN
sc-3023	183	9	model	model	NOUN
sc-3023	183	10	.	.	PUNCT
sc-3023	184	1	table	table	NOUN
sc-3023	184	2	3	3	NUM
sc-3023	184	3	shows	show	VERB
sc-3023	184	4	the	the	DET
sc-3023	184	5	rmse	rmse	NOUN
sc-3023	184	6	,	,	PUNCT
sc-3023	184	7	mae	mae	PROPN
sc-3023	184	8	,	,	PUNCT
sc-3023	184	9	mape	mape	NOUN
sc-3023	184	10	,	,	PUNCT
sc-3023	184	11	and	and	CCONJ
sc-3023	184	12	mase	mase	PROPN
sc-3023	184	13	values	value	NOUN
sc-3023	184	14	of	of	ADP
sc-3023	184	15	arima	arima	PROPN
sc-3023	184	16	and	and	CCONJ
sc-3023	184	17	facebook	facebook	NOUN
sc-3023	184	18	's	's	PART
sc-3023	184	19	prophet	prophet	NOUN
sc-3023	184	20	for	for	ADP
sc-3023	184	21	predicting	predict	VERB
sc-3023	184	22	malaria	malaria	NOUN
sc-3023	184	23	and	and	CCONJ
sc-3023	184	24	pneumonia	pneumonia	NOUN
sc-3023	184	25	in	in	ADP
sc-3023	184	26	gedaref	gedaref	NOUN
sc-3023	184	27	state	state	NOUN
sc-3023	184	28	.	.	PUNCT
sc-3023	185	1	as	as	SCONJ
sc-3023	185	2	shown	show	VERB
sc-3023	185	3	in	in	ADP
sc-3023	185	4	table	table	NOUN
sc-3023	185	5	3	3	NUM
sc-3023	185	6	,	,	PUNCT
sc-3023	185	7	the	the	DET
sc-3023	185	8	arima	arima	PROPN
sc-3023	185	9	approach	approach	NOUN
sc-3023	185	10	outperforms	outperform	VERB
sc-3023	185	11	the	the	DET
sc-3023	185	12	fbprophet	fbprophet	ADJ
sc-3023	185	13	method	method	NOUN
sc-3023	185	14	in	in	ADP
sc-3023	185	15	forecasting	forecast	VERB
sc-3023	185	16	new	new	ADJ
sc-3023	185	17	cases	case	NOUN
sc-3023	185	18	of	of	ADP
sc-3023	185	19	both	both	CCONJ
sc-3023	185	20	malaria	malaria	NOUN
sc-3023	185	21	and	and	CCONJ
sc-3023	185	22	pneumonia	pneumonia	NOUN
sc-3023	185	23	in	in	ADP
sc-3023	185	24	gedaref	gedaref	NOUN
sc-3023	185	25	state	state	NOUN
sc-3023	185	26	.	.	PUNCT
sc-3023	186	1	table	table	NOUN
sc-3023	186	2	3	3	NUM
sc-3023	186	3	.	.	PUNCT
sc-3023	186	4	demonstrate	demonstrate	PROPN
sc-3023	186	5	rmse	rmse	PROPN
sc-3023	186	6	,	,	PUNCT
sc-3023	186	7	mae	mae	PROPN
sc-3023	186	8	,	,	PUNCT
sc-3023	186	9	mape	mape	NOUN
sc-3023	186	10	,	,	PUNCT
sc-3023	186	11	and	and	CCONJ
sc-3023	186	12	mase	mase	PROPN
sc-3023	186	13	values	value	NOUN
sc-3023	186	14	for	for	ADP
sc-3023	186	15	arima	arima	PROPN
sc-3023	186	16	and	and	CCONJ
sc-3023	186	17	fb	fb	ADJ
sc-3023	186	18	-	-	PUNCT
sc-3023	186	19	prophet	prophet	NOUN
sc-3023	186	20	forecasting	forecasting	NOUN
sc-3023	186	21	methods	method	NOUN
sc-3023	186	22	forecasting	forecasting	NOUN
sc-3023	186	23	method	method	NOUN
sc-3023	186	24	diseases	disease	NOUN
sc-3023	186	25	performance	performance	NOUN
sc-3023	186	26	metrics	metric	NOUN
sc-3023	186	27	rmse	rmse	PROPN
sc-3023	186	28	mae	mae	PROPN
sc-3023	186	29	mape	mape	PROPN
sc-3023	186	30	mase	mase	PROPN
sc-3023	186	31	arima	arima	PROPN
sc-3023	186	32	malaria	malaria	PROPN
sc-3023	186	33	182.8	182.8	NUM
sc-3023	186	34	141.6	141.6	NUM
sc-3023	186	35	0.0057	0.0057	NUM
sc-3023	186	36	0.0537	0.0537	NUM
sc-3023	186	37	pneumonia	pneumonia	NOUN
sc-3023	186	38	1400.3	1400.3	NUM
sc-3023	186	39	1001.4	1001.4	NUM
sc-3023	186	40	0.0513	0.0513	NUM
sc-3023	186	41	0.9136	0.9136	NUM
sc-3023	186	42	fb	fb	ADJ
sc-3023	186	43	-	-	PUNCT
sc-3023	186	44	prophet	prophet	NOUN
sc-3023	186	45	malaria	malaria	NOUN
sc-3023	186	46	2815.9	2815.9	NUM
sc-3023	186	47	2614.6	2614.6	NUM
sc-3023	186	48	0.1237	0.1237	NUM
sc-3023	186	49	0.9907	0.9907	NUM
sc-3023	186	50	pneumonia	pneumonia	NOUN
sc-3023	186	51	1923.9	1923.9	NUM
sc-3023	186	52	1578.3	1578.3	NUM
sc-3023	186	53	0.0834	0.0834	NUM
sc-3023	186	54	1.4399	1.4399	NUM
sc-3023	186	55	eai	eai	NOUN
sc-3023	186	56	endorsed	endorse	VERB
sc-3023	186	57	transactions	transaction	NOUN
sc-3023	186	58	on	on	ADP
sc-3023	186	59	smart	smart	ADJ
sc-3023	186	60	cities	city	NOUN
sc-3023	186	61	|	|	ADV
sc-3023	186	62	volume	volume	VERB
sc-3023	186	63	7	7	NUM
sc-3023	186	64	|	|	NOUN
sc-3023	186	65	issue	issue	NOUN
sc-3023	186	66	2	2	NUM
sc-3023	187	1	|	|	NOUN
sc-3023	187	2	hussein	hussein	PROPN
sc-3023	187	3	ali	ali	PROPN
sc-3023	187	4	hussein	hussein	PROPN
sc-3023	187	5	,	,	PUNCT
sc-3023	187	6	mukhtar	mukhtar	PROPN
sc-3023	187	7	m.	m.	PROPN
sc-3023	187	8	e.	e.	PROPN
sc-3023	187	9	mahmoud	mahmoud	PROPN
sc-3023	187	10	and	and	CCONJ
sc-3023	187	11	haroun	haroun	PROPN
sc-3023	187	12	a.	a.	PROPN
sc-3023	187	13	eisa	eisa	PROPN
sc-3023	187	14	8	8	NUM
sc-3023	187	15	5	5	NUM
sc-3023	187	16	.	.	PUNCT
sc-3023	187	17	discussion	discussion	NOUN
sc-3023	187	18	as	as	ADP
sc-3023	187	19	governments	government	NOUN
sc-3023	187	20	stockpile	stockpile	NOUN
sc-3023	187	21	medicines	medicine	NOUN
sc-3023	187	22	,	,	PUNCT
sc-3023	187	23	it	it	PRON
sc-3023	187	24	has	have	AUX
sc-3023	187	25	become	become	VERB
sc-3023	187	26	important	important	ADJ
sc-3023	187	27	for	for	SCONJ
sc-3023	187	28	them	they	PRON
sc-3023	187	29	to	to	PART
sc-3023	187	30	try	try	VERB
sc-3023	187	31	to	to	PART
sc-3023	187	32	figure	figure	VERB
sc-3023	187	33	out	out	ADP
sc-3023	187	34	how	how	SCONJ
sc-3023	187	35	malaria	malaria	NOUN
sc-3023	187	36	and	and	CCONJ
sc-3023	187	37	pneumonia	pneumonia	NOUN
sc-3023	187	38	will	will	AUX
sc-3023	187	39	change	change	VERB
sc-3023	187	40	in	in	ADP
sc-3023	187	41	the	the	DET
sc-3023	187	42	future	future	NOUN
sc-3023	187	43	.	.	PUNCT
sc-3023	188	1	because	because	SCONJ
sc-3023	188	2	of	of	ADP
sc-3023	188	3	this	this	PRON
sc-3023	188	4	,	,	PUNCT
sc-3023	188	5	it	it	PRON
sc-3023	188	6	is	be	AUX
sc-3023	188	7	very	very	ADV
sc-3023	188	8	important	important	ADJ
sc-3023	188	9	to	to	PART
sc-3023	188	10	build	build	VERB
sc-3023	188	11	a	a	DET
sc-3023	188	12	reliable	reliable	ADJ
sc-3023	188	13	and	and	CCONJ
sc-3023	188	14	accurate	accurate	ADJ
sc-3023	188	15	forecasting	forecasting	NOUN
sc-3023	188	16	model	model	NOUN
sc-3023	188	17	that	that	PRON
sc-3023	188	18	will	will	AUX
sc-3023	188	19	help	help	VERB
sc-3023	188	20	governments	government	NOUN
sc-3023	188	21	come	come	VERB
sc-3023	188	22	up	up	ADP
sc-3023	188	23	with	with	ADP
sc-3023	188	24	economic	economic	ADJ
sc-3023	188	25	and	and	CCONJ
sc-3023	188	26	medical	medical	ADJ
sc-3023	188	27	plans	plan	NOUN
sc-3023	188	28	to	to	PART
sc-3023	188	29	deal	deal	VERB
sc-3023	188	30	with	with	ADP
sc-3023	188	31	these	these	DET
sc-3023	188	32	endemic	endemic	ADJ
sc-3023	188	33	diseases	disease	NOUN
sc-3023	188	34	and	and	CCONJ
sc-3023	188	35	decide	decide	VERB
sc-3023	188	36	how	how	SCONJ
sc-3023	188	37	to	to	PART
sc-3023	188	38	allocate	allocate	VERB
sc-3023	188	39	medical	medical	ADJ
sc-3023	188	40	resources	resource	NOUN
sc-3023	188	41	.	.	PUNCT
sc-3023	189	1	in	in	ADP
sc-3023	189	2	this	this	DET
sc-3023	189	3	study	study	NOUN
sc-3023	189	4	,	,	PUNCT
sc-3023	189	5	there	there	PRON
sc-3023	189	6	were	be	VERB
sc-3023	189	7	60	60	NUM
sc-3023	189	8	data	datum	NOUN
sc-3023	189	9	points	point	NOUN
sc-3023	189	10	that	that	PRON
sc-3023	189	11	broke	break	VERB
sc-3023	189	12	down	down	ADP
sc-3023	189	13	the	the	DET
sc-3023	189	14	malaria	malaria	NOUN
sc-3023	189	15	and	and	CCONJ
sc-3023	189	16	pneumonia	pneumonia	NOUN
sc-3023	189	17	disease	disease	NOUN
sc-3023	189	18	statistics	statistic	NOUN
sc-3023	189	19	for	for	ADP
sc-3023	189	20	gedaref	gedaref	NOUN
sc-3023	189	21	state	state	NOUN
sc-3023	189	22	by	by	ADP
sc-3023	189	23	month	month	NOUN
sc-3023	189	24	.	.	PUNCT
sc-3023	190	1	arima	arima	PROPN
sc-3023	190	2	and	and	CCONJ
sc-3023	190	3	fb	fb	ADJ
sc-3023	190	4	-	-	PUNCT
sc-3023	190	5	prophet	prophet	NOUN
sc-3023	190	6	models	model	NOUN
sc-3023	190	7	were	be	AUX
sc-3023	190	8	used	use	VERB
sc-3023	190	9	to	to	PART
sc-3023	190	10	figure	figure	VERB
sc-3023	190	11	out	out	ADP
sc-3023	190	12	how	how	SCONJ
sc-3023	190	13	malaria	malaria	NOUN
sc-3023	190	14	and	and	CCONJ
sc-3023	190	15	pneumonia	pneumonia	NOUN
sc-3023	190	16	will	will	AUX
sc-3023	190	17	change	change	VERB
sc-3023	190	18	in	in	ADP
sc-3023	190	19	the	the	DET
sc-3023	190	20	future	future	NOUN
sc-3023	190	21	.	.	PUNCT
sc-3023	191	1	when	when	SCONJ
sc-3023	191	2	the	the	DET
sc-3023	191	3	constructed	construct	VERB
sc-3023	191	4	models	model	NOUN
sc-3023	191	5	were	be	AUX
sc-3023	191	6	compared	compare	VERB
sc-3023	191	7	in	in	ADP
sc-3023	191	8	terms	term	NOUN
sc-3023	191	9	of	of	ADP
sc-3023	191	10	performance	performance	NOUN
sc-3023	191	11	,	,	PUNCT
sc-3023	191	12	the	the	DET
sc-3023	191	13	results	result	NOUN
sc-3023	191	14	revealed	reveal	VERB
sc-3023	191	15	that	that	SCONJ
sc-3023	191	16	the	the	DET
sc-3023	191	17	arima	arima	NOUN
sc-3023	191	18	technique	technique	NOUN
sc-3023	191	19	outperformed	outperform	VERB
sc-3023	191	20	and	and	CCONJ
sc-3023	191	21	had	have	VERB
sc-3023	191	22	the	the	DET
sc-3023	191	23	lowest	low	ADJ
sc-3023	191	24	error	error	NOUN
sc-3023	191	25	than	than	ADP
sc-3023	191	26	the	the	DET
sc-3023	191	27	fb	fb	ADJ
sc-3023	191	28	-	-	PUNCT
sc-3023	191	29	prophet	prophet	NOUN
sc-3023	191	30	forecasting	forecasting	NOUN
sc-3023	191	31	method	method	NOUN
sc-3023	191	32	in	in	ADP
sc-3023	191	33	both	both	DET
sc-3023	191	34	malaria	malaria	NOUN
sc-3023	191	35	(	(	PUNCT
sc-3023	191	36	rmse	rmse	NOUN
sc-3023	191	37	:	:	PUNCT
sc-3023	191	38	182.8	182.8	NUM
sc-3023	191	39	,	,	PUNCT
sc-3023	191	40	mae	mae	PROPN
sc-3023	191	41	:	:	PUNCT
sc-3023	191	42	141.6	141.6	NUM
sc-3023	191	43	,	,	PUNCT
sc-3023	191	44	mape	mape	NOUN
sc-3023	191	45	:	:	PUNCT
sc-3023	191	46	0.0057	0.0057	NUM
sc-3023	191	47	,	,	PUNCT
sc-3023	191	48	and	and	CCONJ
sc-3023	191	49	mase	mase	PROPN
sc-3023	191	50	:	:	PUNCT
sc-3023	191	51	0.0537	0.0537	NUM
sc-3023	191	52	)	)	PUNCT
sc-3023	191	53	and	and	CCONJ
sc-3023	191	54	pneumonia	pneumonia	NOUN
sc-3023	191	55	(	(	PUNCT
sc-3023	191	56	rmse	rmse	PROPN
sc-3023	191	57	:	:	PUNCT
sc-3023	191	58	1400.3	1400.3	NUM
sc-3023	191	59	,	,	PUNCT
sc-3023	191	60	mae	mae	PROPN
sc-3023	191	61	:	:	PUNCT
sc-3023	191	62	1001.4	1001.4	NUM
sc-3023	191	63	,	,	PUNCT
sc-3023	191	64	mape	mape	NOUN
sc-3023	191	65	:	:	PUNCT
sc-3023	191	66	0.0513	0.0513	NUM
sc-3023	191	67	,	,	PUNCT
sc-3023	191	68	and	and	CCONJ
sc-3023	191	69	mase	mase	PROPN
sc-3023	191	70	:	:	PUNCT
sc-3023	191	71	0.9136	0.9136	NUM
sc-3023	191	72	)	)	PUNCT
sc-3023	191	73	.	.	PUNCT
sc-3023	192	1	we	we	PRON
sc-3023	192	2	notice	notice	VERB
sc-3023	192	3	that	that	SCONJ
sc-3023	192	4	,	,	PUNCT
sc-3023	192	5	in	in	ADP
sc-3023	192	6	the	the	DET
sc-3023	192	7	small	small	ADJ
sc-3023	192	8	dataset	dataset	NOUN
sc-3023	192	9	,	,	PUNCT
sc-3023	192	10	arima	arima	PROPN
sc-3023	192	11	is	be	AUX
sc-3023	192	12	a	a	DET
sc-3023	192	13	powerful	powerful	ADJ
sc-3023	192	14	method	method	NOUN
sc-3023	192	15	.	.	PUNCT
sc-3023	193	1	the	the	DET
sc-3023	193	2	fb	fb	ADJ
sc-3023	193	3	-	-	PUNCT
sc-3023	193	4	prophet	prophet	NOUN
sc-3023	193	5	method	method	NOUN
sc-3023	193	6	requires	require	VERB
sc-3023	193	7	holiday	holiday	NOUN
sc-3023	193	8	effects	effect	NOUN
sc-3023	193	9	in	in	ADP
sc-3023	193	10	the	the	DET
sc-3023	193	11	dataset	dataset	NOUN
sc-3023	193	12	to	to	PART
sc-3023	193	13	boost	boost	VERB
sc-3023	193	14	its	its	PRON
sc-3023	193	15	performance	performance	NOUN
sc-3023	193	16	.	.	PUNCT
sc-3023	194	1	6	6	X
sc-3023	194	2	.	.	X
sc-3023	194	3	conclusion	conclusion	NOUN
sc-3023	194	4	in	in	ADP
sc-3023	194	5	this	this	DET
sc-3023	194	6	work	work	NOUN
sc-3023	194	7	,	,	PUNCT
sc-3023	194	8	the	the	DET
sc-3023	194	9	arima	arima	PROPN
sc-3023	194	10	and	and	CCONJ
sc-3023	194	11	fb	fb	ADJ
sc-3023	194	12	-	-	PUNCT
sc-3023	194	13	prophet	prophet	NOUN
sc-3023	194	14	forecasting	forecasting	NOUN
sc-3023	194	15	models	model	NOUN
sc-3023	194	16	were	be	AUX
sc-3023	194	17	used	use	VERB
sc-3023	194	18	to	to	PART
sc-3023	194	19	predict	predict	VERB
sc-3023	194	20	how	how	SCONJ
sc-3023	194	21	many	many	ADJ
sc-3023	194	22	people	people	NOUN
sc-3023	194	23	in	in	ADP
sc-3023	194	24	gedaref	gedaref	NOUN
sc-3023	194	25	state	state	NOUN
sc-3023	194	26	would	would	AUX
sc-3023	194	27	get	get	VERB
sc-3023	194	28	malaria	malaria	NOUN
sc-3023	194	29	and	and	CCONJ
sc-3023	194	30	pneumonia	pneumonia	NOUN
sc-3023	194	31	.	.	PUNCT
sc-3023	195	1	between	between	ADP
sc-3023	195	2	january	january	PROPN
sc-3023	195	3	2017	2017	NUM
sc-3023	195	4	and	and	CCONJ
sc-3023	195	5	december	december	PROPN
sc-3023	195	6	2021	2021	NUM
sc-3023	195	7	,	,	PUNCT
sc-3023	195	8	the	the	DET
sc-3023	195	9	data	datum	NOUN
sc-3023	195	10	was	be	AUX
sc-3023	195	11	gathered	gather	VERB
sc-3023	195	12	from	from	ADP
sc-3023	195	13	the	the	DET
sc-3023	195	14	state	state	NOUN
sc-3023	195	15	's	's	PART
sc-3023	195	16	ministry	ministry	PROPN
sc-3023	195	17	of	of	ADP
sc-3023	195	18	health	health	PROPN
sc-3023	195	19	.	.	PUNCT
sc-3023	196	1	in	in	ADP
sc-3023	196	2	terms	term	NOUN
sc-3023	196	3	of	of	ADP
sc-3023	196	4	rmse	rmse	NOUN
sc-3023	196	5	,	,	PUNCT
sc-3023	196	6	mae	mae	PROPN
sc-3023	196	7	,	,	PUNCT
sc-3023	196	8	mape	mape	NOUN
sc-3023	196	9	,	,	PUNCT
sc-3023	196	10	and	and	CCONJ
sc-3023	196	11	mase	mase	NOUN
sc-3023	196	12	error	error	NOUN
sc-3023	196	13	metrics	metric	NOUN
sc-3023	196	14	,	,	PUNCT
sc-3023	196	15	our	our	PRON
sc-3023	196	16	results	result	NOUN
sc-3023	196	17	suggest	suggest	VERB
sc-3023	196	18	that	that	SCONJ
sc-3023	196	19	the	the	DET
sc-3023	196	20	arima	arima	PROPN
sc-3023	196	21	model	model	NOUN
sc-3023	196	22	in	in	ADP
sc-3023	196	23	both	both	DET
sc-3023	196	24	malaria	malaria	NOUN
sc-3023	196	25	(	(	PUNCT
sc-3023	196	26	rmse	rmse	NOUN
sc-3023	196	27	:	:	PUNCT
sc-3023	196	28	182.8	182.8	NUM
sc-3023	196	29	,	,	PUNCT
sc-3023	196	30	mae	mae	PROPN
sc-3023	196	31	:	:	PUNCT
sc-3023	196	32	141.6	141.6	NUM
sc-3023	196	33	,	,	PUNCT
sc-3023	196	34	mape	mape	NOUN
sc-3023	196	35	:	:	PUNCT
sc-3023	196	36	0.0057	0.0057	NUM
sc-3023	196	37	,	,	PUNCT
sc-3023	196	38	and	and	CCONJ
sc-3023	196	39	mase	mase	PROPN
sc-3023	196	40	:	:	PUNCT
sc-3023	196	41	0.0537	0.0537	NUM
sc-3023	196	42	)	)	PUNCT
sc-3023	196	43	and	and	CCONJ
sc-3023	196	44	pneumonia	pneumonia	NOUN
sc-3023	196	45	(	(	PUNCT
sc-3023	196	46	rmse	rmse	PROPN
sc-3023	196	47	:	:	PUNCT
sc-3023	196	48	1400.3	1400.3	NUM
sc-3023	196	49	,	,	PUNCT
sc-3023	196	50	mae	mae	PROPN
sc-3023	196	51	:	:	PUNCT
sc-3023	196	52	1001.4	1001.4	NUM
sc-3023	196	53	,	,	PUNCT
sc-3023	196	54	mape	mape	NOUN
sc-3023	196	55	:	:	PUNCT
sc-3023	196	56	0.0513	0.0513	NUM
sc-3023	196	57	,	,	PUNCT
sc-3023	196	58	and	and	CCONJ
sc-3023	196	59	mase	mase	PROPN
sc-3023	196	60	:	:	PUNCT
sc-3023	196	61	0.9136	0.9136	NUM
sc-3023	196	62	)	)	PUNCT
sc-3023	196	63	outperforms	outperform	VERB
sc-3023	196	64	the	the	DET
sc-3023	196	65	fb	fb	ADJ
sc-3023	196	66	-	-	PUNCT
sc-3023	196	67	prophet	prophet	NOUN
sc-3023	196	68	model	model	NOUN
sc-3023	196	69	.	.	PUNCT
sc-3023	197	1	forecasting	forecasting	NOUN
sc-3023	197	2	methodologies	methodology	NOUN
sc-3023	197	3	,	,	PUNCT
sc-3023	197	4	as	as	SCONJ
sc-3023	197	5	demonstrated	demonstrate	VERB
sc-3023	197	6	here	here	ADV
sc-3023	197	7	,	,	PUNCT
sc-3023	197	8	can	can	AUX
sc-3023	197	9	aid	aid	VERB
sc-3023	197	10	in	in	ADP
sc-3023	197	11	the	the	DET
sc-3023	197	12	prediction	prediction	NOUN
sc-3023	197	13	of	of	ADP
sc-3023	197	14	future	future	ADJ
sc-3023	197	15	patterns	pattern	NOUN
sc-3023	197	16	for	for	ADP
sc-3023	197	17	a	a	DET
sc-3023	197	18	variety	variety	NOUN
sc-3023	197	19	of	of	ADP
sc-3023	197	20	diseases	disease	NOUN
sc-3023	197	21	as	as	ADV
sc-3023	197	22	well	well	ADV
sc-3023	197	23	as	as	ADP
sc-3023	197	24	be	be	AUX
sc-3023	197	25	implemented	implement	VERB
sc-3023	197	26	to	to	PART
sc-3023	197	27	reduce	reduce	VERB
sc-3023	197	28	the	the	DET
sc-3023	197	29	number	number	NOUN
sc-3023	197	30	of	of	ADP
sc-3023	197	31	diseases	disease	NOUN
sc-3023	197	32	in	in	ADP
sc-3023	197	33	the	the	DET
sc-3023	197	34	state	state	NOUN
sc-3023	197	35	,	,	PUNCT
sc-3023	197	36	which	which	PRON
sc-3023	197	37	is	be	AUX
sc-3023	197	38	beneficial	beneficial	ADJ
sc-3023	197	39	to	to	ADP
sc-3023	197	40	public	public	ADJ
sc-3023	197	41	health	health	NOUN
sc-3023	197	42	.	.	PUNCT
sc-3023	198	1	we	we	PRON
sc-3023	198	2	anticipate	anticipate	VERB
sc-3023	198	3	that	that	SCONJ
sc-3023	198	4	the	the	DET
sc-3023	198	5	study	study	NOUN
sc-3023	198	6	's	's	PART
sc-3023	198	7	findings	finding	NOUN
sc-3023	198	8	will	will	AUX
sc-3023	198	9	be	be	AUX
sc-3023	198	10	valuable	valuable	ADJ
sc-3023	198	11	to	to	ADP
sc-3023	198	12	governments	government	NOUN
sc-3023	198	13	and	and	CCONJ
sc-3023	198	14	health	health	NOUN
sc-3023	198	15	authorities	authority	NOUN
sc-3023	198	16	in	in	ADP
sc-3023	198	17	terms	term	NOUN
sc-3023	198	18	of	of	ADP
sc-3023	198	19	correctly	correctly	ADV
sc-3023	198	20	planning	plan	VERB
sc-3023	198	21	medical	medical	ADJ
sc-3023	198	22	support	support	NOUN
sc-3023	198	23	and	and	CCONJ
sc-3023	198	24	providing	provide	VERB
sc-3023	198	25	necessary	necessary	ADJ
sc-3023	198	26	resources	resource	NOUN
sc-3023	198	27	,	,	PUNCT
sc-3023	198	28	such	such	ADJ
sc-3023	198	29	as	as	ADP
sc-3023	198	30	medical	medical	ADJ
sc-3023	198	31	staff	staff	NOUN
sc-3023	198	32	and	and	CCONJ
sc-3023	198	33	care	care	NOUN
sc-3023	198	34	facilities	facility	NOUN
sc-3023	198	35	,	,	PUNCT
sc-3023	198	36	for	for	ADP
sc-3023	198	37	future	future	ADJ
sc-3023	198	38	diseases	disease	NOUN
sc-3023	198	39	.	.	PUNCT
sc-3023	199	1	these	these	DET
sc-3023	199	2	methods	method	NOUN
sc-3023	199	3	will	will	AUX
sc-3023	199	4	be	be	AUX
sc-3023	199	5	combined	combine	VERB
sc-3023	199	6	with	with	ADP
sc-3023	199	7	iot	iot	ADJ
sc-3023	199	8	-	-	PUNCT
sc-3023	199	9	enabled	enable	VERB
sc-3023	199	10	solution	solution	NOUN
sc-3023	199	11	to	to	PART
sc-3023	199	12	provide	provide	VERB
sc-3023	199	13	a	a	DET
sc-3023	199	14	smart	smart	ADJ
sc-3023	199	15	disease	disease	NOUN
sc-3023	199	16	management	management	NOUN
sc-3023	199	17	framework	framework	NOUN
sc-3023	199	18	in	in	ADP
sc-3023	199	19	our	our	PRON
sc-3023	199	20	future	future	ADJ
sc-3023	199	21	work	work	NOUN
sc-3023	199	22	.	.	PUNCT
sc-3023	200	1	acknowledgments	acknowledgment	NOUN
sc-3023	200	2	the	the	DET
sc-3023	200	3	authors	author	NOUN
sc-3023	200	4	would	would	AUX
sc-3023	200	5	like	like	VERB
sc-3023	200	6	to	to	PART
sc-3023	200	7	thank	thank	VERB
sc-3023	200	8	the	the	DET
sc-3023	200	9	ministry	ministry	PROPN
sc-3023	200	10	of	of	ADP
sc-3023	200	11	health	health	PROPN
sc-3023	200	12	in	in	ADP
sc-3023	200	13	gedaref	gedaref	NOUN
sc-3023	200	14	state	state	NOUN
sc-3023	200	15	for	for	ADP
sc-3023	200	16	providing	provide	VERB
sc-3023	200	17	us	we	PRON
sc-3023	200	18	with	with	ADP
sc-3023	200	19	this	this	DET
sc-3023	200	20	information	information	NOUN
sc-3023	200	21	,	,	PUNCT
sc-3023	200	22	particularly	particularly	ADV
sc-3023	200	23	dr	dr	PROPN
sc-3023	200	24	.	.	PROPN
sc-3023	200	25	hussein	hussein	PROPN
sc-3023	200	26	,	,	PUNCT
sc-3023	200	27	director	director	NOUN
sc-3023	200	28	of	of	ADP
sc-3023	200	29	the	the	DET
sc-3023	200	30	ministry	ministry	PROPN
sc-3023	200	31	of	of	ADP
sc-3023	200	32	information	information	NOUN
sc-3023	200	33	and	and	CCONJ
sc-3023	200	34	statistics	statistic	NOUN
sc-3023	200	35	center	center	NOUN
sc-3023	200	36	.	.	PUNCT
sc-3023	201	1	references	reference	NOUN
sc-3023	201	2	[	[	X
sc-3023	201	3	1	1	X
sc-3023	201	4	]	]	PUNCT
sc-3023	201	5	s.	s.	PROPN
sc-3023	201	6	myeong	myeong	PROPN
sc-3023	201	7	and	and	CCONJ
sc-3023	201	8	k.	k.	PROPN
sc-3023	201	9	shahzad	shahzad	PROPN
sc-3023	201	10	,	,	PUNCT
sc-3023	201	11	“	"	PUNCT
sc-3023	201	12	integrating	integrate	VERB
sc-3023	201	13	data	data	NOUN
sc-3023	201	14	-	-	PUNCT
sc-3023	201	15	based	base	VERB
sc-3023	201	16	strategies	strategy	NOUN
sc-3023	201	17	and	and	CCONJ
sc-3023	201	18	advanced	advanced	ADJ
sc-3023	201	19	technologies	technology	NOUN
sc-3023	201	20	with	with	ADP
sc-3023	201	21	efficient	efficient	ADJ
sc-3023	201	22	air	air	NOUN
sc-3023	201	23	pollution	pollution	NOUN
sc-3023	201	24	management	management	NOUN
sc-3023	201	25	in	in	ADP
sc-3023	201	26	smart	smart	ADJ
sc-3023	201	27	cities	city	NOUN
sc-3023	201	28	,	,	PUNCT
sc-3023	201	29	”	"	PUNCT
sc-3023	201	30	sustainability	sustainability	NOUN
sc-3023	201	31	,	,	PUNCT
sc-3023	201	32	vol	vol	NOUN
sc-3023	201	33	.	.	PROPN
sc-3023	201	34	13	13	NUM
sc-3023	201	35	,	,	PUNCT
sc-3023	201	36	no	no	INTJ
sc-3023	201	37	.	.	NOUN
sc-3023	201	38	13	13	NUM
sc-3023	201	39	,	,	PUNCT
sc-3023	201	40	p.	p.	NOUN
sc-3023	201	41	7168	7168	NUM
sc-3023	201	42	,	,	PUNCT
sc-3023	201	43	jun	jun	PROPN
sc-3023	201	44	.	.	PROPN
sc-3023	201	45	2021	2021	NUM
sc-3023	201	46	,	,	PUNCT
sc-3023	201	47	doi	doi	NOUN
sc-3023	201	48	:	:	PUNCT
sc-3023	201	49	https://doi.org/10.3390/su13137168	https://doi.org/10.3390/su13137168	NOUN
sc-3023	201	50	.	.	PUNCT
sc-3023	202	1	[	[	X
sc-3023	202	2	2	2	NUM
sc-3023	202	3	]	]	PUNCT
sc-3023	202	4	s.	s.	PROPN
sc-3023	202	5	r.	r.	PROPN
sc-3023	202	6	,	,	PUNCT
sc-3023	202	7	s.	s.	PROPN
sc-3023	202	8	r.	r.	PROPN
sc-3023	202	9	s.	s.	PROPN
sc-3023	202	10	,	,	PUNCT
sc-3023	202	11	h.	h.	PROPN
sc-3023	202	12	r.	r.	PROPN
sc-3023	202	13	,	,	PUNCT
sc-3023	202	14	a.	a.	PROPN
sc-3023	202	15	s.	s.	PROPN
sc-3023	202	16	,	,	PUNCT
sc-3023	202	17	and	and	CCONJ
sc-3023	202	18	r.	r.	PROPN
sc-3023	202	19	k.	k.	PROPN
sc-3023	202	20	c.	c.	PROPN
sc-3023	202	21	,	,	PUNCT
sc-3023	202	22	“	"	PUNCT
sc-3023	202	23	artificial	artificial	ADJ
sc-3023	202	24	intelligence	intelligence	NOUN
sc-3023	202	25	in	in	ADP
sc-3023	202	26	smart	smart	ADJ
sc-3023	202	27	cities	city	NOUN
sc-3023	202	28	and	and	CCONJ
sc-3023	202	29	healthcare	healthcare	NOUN
sc-3023	202	30	,	,	PUNCT
sc-3023	202	31	”	"	PUNCT
sc-3023	202	32	eai	eai	PROPN
sc-3023	202	33	endorsed	endorse	VERB
sc-3023	202	34	transactions	transaction	NOUN
sc-3023	202	35	on	on	ADP
sc-3023	202	36	smart	smart	ADJ
sc-3023	202	37	cities	city	NOUN
sc-3023	202	38	,	,	PUNCT
sc-3023	202	39	vol	vol	NOUN
sc-3023	202	40	.	.	PROPN
sc-3023	202	41	6	6	NUM
sc-3023	202	42	,	,	PUNCT
sc-3023	202	43	no	no	INTJ
sc-3023	202	44	.	.	NOUN
sc-3023	202	45	3	3	NUM
sc-3023	202	46	,	,	PUNCT
sc-3023	202	47	p.	p.	PROPN
sc-3023	202	48	e5	e5	PROPN
sc-3023	202	49	,	,	PUNCT
sc-3023	202	50	sep	sep	PROPN
sc-3023	202	51	.	.	PROPN
sc-3023	202	52	2022	2022	NUM
sc-3023	202	53	,	,	PUNCT
sc-3023	202	54	doi	doi	NOUN
sc-3023	202	55	:	:	PUNCT
sc-3023	202	56	10.4108	10.4108	NUM
sc-3023	202	57	/	/	SYM
sc-3023	202	58	eetsc.v6i3.2275	eetsc.v6i3.2275	PROPN
sc-3023	202	59	.	.	PUNCT
sc-3023	203	1	[	[	X
sc-3023	203	2	3	3	X
sc-3023	203	3	]	]	X
sc-3023	203	4	m.	m.	NOUN
sc-3023	203	5	a.	a.	PROPN
sc-3023	203	6	a.	a.	PROPN
sc-3023	203	7	osman	osman	PROPN
sc-3023	203	8	,	,	PUNCT
sc-3023	203	9	j.	j.	PROPN
sc-3023	203	10	o.	o.	PROPN
sc-3023	203	11	onono	onono	PROPN
sc-3023	203	12	,	,	PUNCT
sc-3023	203	13	l.	l.	PROPN
sc-3023	203	14	a.	a.	PROPN
sc-3023	203	15	olaka	olaka	PROPN
sc-3023	203	16	,	,	PUNCT
sc-3023	203	17	m.	m.	NOUN
sc-3023	203	18	m.	m.	NOUN
sc-3023	203	19	elhag	elhag	PROPN
sc-3023	203	20	,	,	PUNCT
sc-3023	203	21	and	and	CCONJ
sc-3023	203	22	e.	e.	PROPN
sc-3023	203	23	m.	m.	PROPN
sc-3023	203	24	abdel	abdel	PROPN
sc-3023	203	25	-	-	PUNCT
sc-3023	203	26	rahman	rahman	PROPN
sc-3023	203	27	,	,	PUNCT
sc-3023	203	28	“	"	PUNCT
sc-3023	203	29	climate	climate	NOUN
sc-3023	203	30	variability	variability	NOUN
sc-3023	203	31	and	and	CCONJ
sc-3023	203	32	change	change	NOUN
sc-3023	203	33	affect	affect	VERB
sc-3023	203	34	crops	crop	NOUN
sc-3023	203	35	yield	yield	VERB
sc-3023	203	36	under	under	ADP
sc-3023	203	37	rainfed	rainfed	ADJ
sc-3023	203	38	conditions	condition	NOUN
sc-3023	203	39	:	:	PUNCT
sc-3023	203	40	a	a	DET
sc-3023	203	41	case	case	NOUN
sc-3023	203	42	study	study	NOUN
sc-3023	203	43	in	in	ADP
sc-3023	203	44	gedaref	gedaref	NOUN
sc-3023	203	45	state	state	NOUN
sc-3023	203	46	,	,	PUNCT
sc-3023	203	47	sudan	sudan	PROPN
sc-3023	203	48	,	,	PUNCT
sc-3023	203	49	”	"	PUNCT
sc-3023	203	50	agronomy	agronomy	NOUN
sc-3023	203	51	,	,	PUNCT
sc-3023	203	52	vol	vol	NOUN
sc-3023	203	53	.	.	PROPN
sc-3023	204	1	11	11	NUM
sc-3023	204	2	,	,	PUNCT
sc-3023	204	3	no	no	INTJ
sc-3023	204	4	.	.	NOUN
sc-3023	204	5	9	9	NUM
sc-3023	204	6	,	,	PUNCT
sc-3023	204	7	p.	p.	NOUN
sc-3023	204	8	1680	1680	NUM
sc-3023	204	9	,	,	PUNCT
sc-3023	204	10	aug	aug	PROPN
sc-3023	204	11	.	.	PROPN
sc-3023	204	12	2021	2021	NUM
sc-3023	204	13	,	,	PUNCT
sc-3023	204	14	doi	doi	NOUN
sc-3023	204	15	:	:	PUNCT
sc-3023	204	16	https://doi.org/10.3390/agronomy11091680	https://doi.org/10.3390/agronomy11091680	NOUN
sc-3023	204	17	.	.	PUNCT
sc-3023	205	1	[	[	X
sc-3023	205	2	4	4	NUM
sc-3023	205	3	]	]	X
sc-3023	205	4	l.	l.	PROPN
sc-3023	205	5	c.	c.	PROPN
sc-3023	205	6	s.	s.	PROPN
sc-3023	205	7	pinheiro	pinheiro	PROPN
sc-3023	205	8	,	,	PUNCT
sc-3023	205	9	l.	l.	PROPN
sc-3023	205	10	m.	m.	PROPN
sc-3023	205	11	feitosa	feitosa	PROPN
sc-3023	205	12	,	,	PUNCT
sc-3023	205	13	f.	f.	PROPN
sc-3023	205	14	f.	f.	PROPN
sc-3023	205	15	d.	d.	PROPN
sc-3023	205	16	silveira	silveira	PROPN
sc-3023	205	17	,	,	PUNCT
sc-3023	205	18	and	and	CCONJ
sc-3023	205	19	n.	n.	PROPN
sc-3023	205	20	boechat	boechat	PROPN
sc-3023	205	21	,	,	PUNCT
sc-3023	205	22	“	"	PUNCT
sc-3023	205	23	current	current	ADJ
sc-3023	205	24	antimalarial	antimalarial	ADJ
sc-3023	205	25	therapies	therapy	NOUN
sc-3023	205	26	and	and	CCONJ
sc-3023	205	27	advances	advance	NOUN
sc-3023	205	28	in	in	ADP
sc-3023	205	29	the	the	DET
sc-3023	205	30	development	development	NOUN
sc-3023	205	31	of	of	ADP
sc-3023	205	32	semi	semi	ADJ
sc-3023	205	33	-	-	ADJ
sc-3023	205	34	synthetic	synthetic	ADJ
sc-3023	205	35	artemisinin	artemisinin	NOUN
sc-3023	205	36	derivatives	derivative	NOUN
sc-3023	205	37	,	,	PUNCT
sc-3023	205	38	”	"	PUNCT
sc-3023	205	39	anais	anais	PROPN
sc-3023	205	40	da	da	PROPN
sc-3023	205	41	academia	academia	PROPN
sc-3023	205	42	brasileira	brasileira	PROPN
sc-3023	205	43	de	de	PROPN
sc-3023	205	44	ciências	ciências	PROPN
sc-3023	205	45	,	,	PUNCT
sc-3023	205	46	vol	vol	NOUN
sc-3023	205	47	.	.	PROPN
sc-3023	205	48	90	90	NUM
sc-3023	205	49	,	,	PUNCT
sc-3023	205	50	no	no	INTJ
sc-3023	205	51	.	.	NOUN
sc-3023	205	52	1	1	NUM
sc-3023	205	53	suppl	suppl	ADJ
sc-3023	205	54	2	2	NUM
sc-3023	205	55	,	,	PUNCT
sc-3023	205	56	pp	pp	ADJ
sc-3023	205	57	.	.	PUNCT
sc-3023	206	1	1251–1271	1251–1271	NUM
sc-3023	206	2	,	,	PUNCT
sc-3023	206	3	2018	2018	NUM
sc-3023	206	4	,	,	PUNCT
sc-3023	206	5	doi	doi	NOUN
sc-3023	206	6	:	:	PUNCT
sc-3023	206	7	https://doi.org/10.1590/0001-3765201820170830	https://doi.org/10.1590/0001-3765201820170830	PROPN
sc-3023	206	8	.	.	PUNCT
sc-3023	207	1	[	[	X
sc-3023	207	2	5	5	X
sc-3023	207	3	]	]	PUNCT
sc-3023	207	4	z.	z.	PROPN
sc-3023	207	5	rustam	rustam	PROPN
sc-3023	207	6	,	,	PUNCT
sc-3023	207	7	r.	r.	PROPN
sc-3023	207	8	p.	p.	PROPN
sc-3023	207	9	yuda	yuda	PROPN
sc-3023	207	10	,	,	PUNCT
sc-3023	207	11	h.	h.	PROPN
sc-3023	207	12	alatas	alatas	PROPN
sc-3023	207	13	,	,	PUNCT
sc-3023	207	14	and	and	CCONJ
sc-3023	207	15	c.	c.	PROPN
sc-3023	207	16	aroef	aroef	PROPN
sc-3023	207	17	,	,	PUNCT
sc-3023	207	18	“	"	PUNCT
sc-3023	207	19	pulmonary	pulmonary	ADJ
sc-3023	207	20	rontgen	rontgen	NOUN
sc-3023	207	21	classification	classification	NOUN
sc-3023	207	22	to	to	PART
sc-3023	207	23	detect	detect	VERB
sc-3023	207	24	pneumonia	pneumonia	NOUN
sc-3023	207	25	disease	disease	NOUN
sc-3023	207	26	using	use	VERB
sc-3023	207	27	convolutional	convolutional	ADJ
sc-3023	207	28	neural	neural	ADJ
sc-3023	207	29	networks	network	NOUN
sc-3023	207	30	,	,	PUNCT
sc-3023	207	31	”	"	PUNCT
sc-3023	207	32	telkomnika	telkomnika	NOUN
sc-3023	207	33	(	(	PUNCT
sc-3023	207	34	telecommunication	telecommunication	NOUN
sc-3023	207	35	computing	computing	NOUN
sc-3023	207	36	electronics	electronic	NOUN
sc-3023	207	37	and	and	CCONJ
sc-3023	207	38	control	control	NOUN
sc-3023	207	39	)	)	PUNCT
sc-3023	207	40	,	,	PUNCT
sc-3023	207	41	vol	vol	NOUN
sc-3023	207	42	.	.	PROPN
sc-3023	207	43	18	18	NUM
sc-3023	207	44	,	,	PUNCT
sc-3023	207	45	no	no	INTJ
sc-3023	207	46	.	.	NOUN
sc-3023	207	47	3	3	NUM
sc-3023	207	48	,	,	PUNCT
sc-3023	207	49	p.	p.	NOUN
sc-3023	207	50	1522	1522	NUM
sc-3023	207	51	,	,	PUNCT
sc-3023	207	52	jun	jun	PROPN
sc-3023	207	53	.	.	PROPN
sc-3023	207	54	2020	2020	NUM
sc-3023	207	55	,	,	PUNCT
sc-3023	207	56	doi	doi	NOUN
sc-3023	207	57	:	:	PUNCT
sc-3023	207	58	https://doi.org/10.12928/telkomnika.v18i3.14839	https://doi.org/10.12928/telkomnika.v18i3.14839	NUM
sc-3023	207	59	.	.	PUNCT
sc-3023	208	1	[	[	X
sc-3023	208	2	6	6	NUM
sc-3023	208	3	]	]	PUNCT
sc-3023	208	4	s.	s.	PROPN
sc-3023	208	5	makridakis	makridakis	PROPN
sc-3023	208	6	,	,	PUNCT
sc-3023	208	7	r.	r.	PROPN
sc-3023	208	8	j.	j.	PROPN
sc-3023	208	9	hyndman	hyndman	PROPN
sc-3023	208	10	,	,	PUNCT
sc-3023	208	11	and	and	CCONJ
sc-3023	208	12	f.	f.	PROPN
sc-3023	208	13	petropoulos	petropoulos	PROPN
sc-3023	208	14	,	,	PUNCT
sc-3023	208	15	“	"	PUNCT
sc-3023	208	16	forecasting	forecast	VERB
sc-3023	208	17	in	in	ADP
sc-3023	208	18	social	social	ADJ
sc-3023	208	19	settings	setting	NOUN
sc-3023	208	20	:	:	PUNCT
sc-3023	208	21	the	the	DET
sc-3023	208	22	state	state	NOUN
sc-3023	208	23	of	of	ADP
sc-3023	208	24	the	the	DET
sc-3023	208	25	art	art	NOUN
sc-3023	208	26	,	,	PUNCT
sc-3023	208	27	”	"	PUNCT
sc-3023	208	28	international	international	ADJ
sc-3023	208	29	journal	journal	NOUN
sc-3023	208	30	of	of	ADP
sc-3023	208	31	forecasting	forecasting	NOUN
sc-3023	208	32	,	,	PUNCT
sc-3023	208	33	vol	vol	NOUN
sc-3023	208	34	.	.	PROPN
sc-3023	209	1	36	36	NUM
sc-3023	209	2	,	,	PUNCT
sc-3023	209	3	no	no	INTJ
sc-3023	209	4	.	.	NOUN
sc-3023	209	5	1	1	NUM
sc-3023	209	6	,	,	PUNCT
sc-3023	209	7	pp	pp	ADJ
sc-3023	209	8	.	.	PUNCT
sc-3023	209	9	15	15	NUM
sc-3023	209	10	–	–	PUNCT
sc-3023	209	11	28	28	NUM
sc-3023	209	12	,	,	PUNCT
sc-3023	209	13	jan	jan	PROPN
sc-3023	209	14	.	.	PROPN
sc-3023	209	15	2020	2020	NUM
sc-3023	209	16	,	,	PUNCT
sc-3023	209	17	doi	doi	NOUN
sc-3023	209	18	:	:	PUNCT
sc-3023	209	19	https://doi.org/10.1016/j.ijforecast.2019.05.011	https://doi.org/10.1016/j.ijforecast.2019.05.011	NOUN
sc-3023	209	20	.	.	PUNCT
sc-3023	210	1	[	[	X
sc-3023	210	2	7	7	X
sc-3023	210	3	]	]	X
sc-3023	210	4	w.	w.	PROPN
sc-3023	210	5	d.	d.	PROPN
sc-3023	210	6	lesmono	lesmono	PROPN
sc-3023	210	7	,	,	PUNCT
sc-3023	210	8	s.	s.	PROPN
sc-3023	210	9	mardiyati	mardiyati	PROPN
sc-3023	210	10	,	,	PUNCT
sc-3023	210	11	d.	d.	PROPN
sc-3023	210	12	lestari	lestari	PROPN
sc-3023	210	13	,	,	PUNCT
sc-3023	210	14	and	and	CCONJ
sc-3023	210	15	a.	a.	PROPN
sc-3023	210	16	h.	h.	PROPN
sc-3023	210	17	a.	a.	PROPN
sc-3023	210	18	zili	zili	PROPN
sc-3023	210	19	,	,	PUNCT
sc-3023	210	20	“	"	PUNCT
sc-3023	210	21	forecasting	forecast	VERB
sc-3023	210	22	tuberculosis	tuberculosis	NOUN
sc-3023	210	23	morbidity	morbidity	NOUN
sc-3023	210	24	rate	rate	NOUN
sc-3023	210	25	in	in	ADP
sc-3023	210	26	indonesia	indonesia	PROPN
sc-3023	210	27	using	use	VERB
sc-3023	210	28	autoregressive	autoregressive	ADJ
sc-3023	210	29	integrated	integrated	ADJ
sc-3023	210	30	moving	move	VERB
sc-3023	210	31	average	average	ADJ
sc-3023	210	32	(	(	PUNCT
sc-3023	210	33	arima	arima	NOUN
sc-3023	210	34	)	)	PUNCT
sc-3023	210	35	method	method	NOUN
sc-3023	210	36	,	,	PUNCT
sc-3023	210	37	”	"	PUNCT
sc-3023	210	38	journal	journal	NOUN
sc-3023	210	39	of	of	ADP
sc-3023	210	40	physics	physics	PROPN
sc-3023	210	41	:	:	PUNCT
sc-3023	210	42	conference	conference	NOUN
sc-3023	210	43	series	series	NOUN
sc-3023	210	44	,	,	PUNCT
sc-3023	210	45	vol	vol	NOUN
sc-3023	210	46	.	.	PROPN
sc-3023	210	47	1725	1725	NUM
sc-3023	210	48	,	,	PUNCT
sc-3023	210	49	p.	p.	NOUN
sc-3023	210	50	012031	012031	NUM
sc-3023	210	51	,	,	PUNCT
sc-3023	210	52	jan	jan	PROPN
sc-3023	210	53	.	.	PROPN
sc-3023	210	54	2021	2021	NUM
sc-3023	210	55	,	,	PUNCT
sc-3023	210	56	doi	doi	NOUN
sc-3023	210	57	:	:	PUNCT
sc-3023	210	58	https://doi.org/10.1088/17426596/1725/1/012031	https://doi.org/10.1088/17426596/1725/1/012031	PROPN
sc-3023	210	59	.	.	PUNCT
sc-3023	211	1	[	[	X
sc-3023	211	2	8	8	NUM
sc-3023	211	3	]	]	PUNCT
sc-3023	211	4	p.	p.	PROPN
sc-3023	211	5	kumar	kumar	PROPN
sc-3023	211	6	,	,	PUNCT
sc-3023	211	7	r.	r.	PROPN
sc-3023	211	8	sharma	sharma	PROPN
sc-3023	211	9	,	,	PUNCT
sc-3023	211	10	and	and	CCONJ
sc-3023	211	11	s.	s.	PROPN
sc-3023	211	12	k.	k.	PROPN
sc-3023	211	13	singh	singh	PROPN
sc-3023	211	14	,	,	PUNCT
sc-3023	211	15	“	"	PUNCT
sc-3023	211	16	predictive	predictive	ADJ
sc-3023	211	17	analysis	analysis	NOUN
sc-3023	211	18	of	of	ADP
sc-3023	211	19	real	real	ADJ
sc-3023	211	20	-	-	PUNCT
sc-3023	211	21	time	time	NOUN
sc-3023	211	22	strategy	strategy	NOUN
sc-3023	211	23	using	use	VERB
sc-3023	211	24	face	face	NOUN
sc-3023	211	25	book	book	NOUN
sc-3023	211	26	’s	’s	PART
sc-3023	211	27	prophet	prophet	NOUN
sc-3023	211	28	model	model	NOUN
sc-3023	211	29	on	on	ADP
sc-3023	211	30	covid-19	covid-19	PROPN
sc-3023	211	31	dataset	dataset	NOUN
sc-3023	211	32	of	of	ADP
sc-3023	211	33	india	india	PROPN
sc-3023	211	34	,	,	PUNCT
sc-3023	211	35	”	"	PUNCT
sc-3023	211	36	journal	journal	NOUN
sc-3023	211	37	of	of	ADP
sc-3023	211	38	pharmaceutical	pharmaceutical	PROPN
sc-3023	211	39	research	research	NOUN
sc-3023	211	40	international	international	PROPN
sc-3023	211	41	,	,	PUNCT
sc-3023	211	42	pp	pp	ADJ
sc-3023	211	43	.	.	PUNCT
sc-3023	212	1	305–312	305–312	NUM
sc-3023	212	2	,	,	PUNCT
sc-3023	212	3	nov	nov	PROPN
sc-3023	212	4	.	.	PROPN
sc-3023	212	5	2021	2021	NUM
sc-3023	212	6	,	,	PUNCT
sc-3023	212	7	doi	doi	NOUN
sc-3023	212	8	:	:	PUNCT
sc-3023	212	9	https://doi.org/10.9734/jpri/2021/v33i51a33496	https://doi.org/10.9734/jpri/2021/v33i51a33496	NOUN
sc-3023	212	10	.	.	PUNCT
sc-3023	213	1	[	[	X
sc-3023	213	2	9	9	NUM
sc-3023	213	3	]	]	PUNCT
sc-3023	213	4	ersöz	ersöz	NOUN
sc-3023	213	5	,	,	PUNCT
sc-3023	213	6	n.	n.	PROPN
sc-3023	213	7	ş	ş	PROPN
sc-3023	213	8	.	.	PROPN
sc-3023	213	9	,	,	PUNCT
sc-3023	213	10	güner	güner	NOUN
sc-3023	213	11	,	,	PUNCT
sc-3023	213	12	p.	p.	PROPN
sc-3023	213	13	,	,	PUNCT
sc-3023	213	14	akbaş	akbaş	PROPN
sc-3023	213	15	,	,	PUNCT
sc-3023	213	16	a.	a.	PROPN
sc-3023	213	17	,	,	PUNCT
sc-3023	213	18	&	&	CCONJ
sc-3023	213	19	amp	amp	PROPN
sc-3023	213	20	;	;	PUNCT
sc-3023	213	21	baki̇rgungor	baki̇rgungor	PROPN
sc-3023	213	22	,	,	PUNCT
sc-3023	213	23	b.	b.	PROPN
sc-3023	213	24	(	(	PUNCT
sc-3023	213	25	2022	2022	NUM
sc-3023	213	26	)	)	PUNCT
sc-3023	213	27	.	.	PUNCT
sc-3023	214	1	comparative	comparative	ADJ
sc-3023	214	2	performance	performance	NOUN
sc-3023	214	3	analysis	analysis	NOUN
sc-3023	214	4	of	of	ADP
sc-3023	214	5	arima	arima	NOUN
sc-3023	214	6	,	,	PUNCT
sc-3023	214	7	prophet	prophet	NOUN
sc-3023	214	8	,	,	PUNCT
sc-3023	214	9	and	and	CCONJ
sc-3023	214	10	holt	holt	PROPN
sc-3023	214	11	-	-	PUNCT
sc-3023	214	12	winters	winters	PROPN
sc-3023	214	13	forecasting	forecasting	NOUN
sc-3023	214	14	methods	method	NOUN
sc-3023	214	15	on	on	ADP
sc-3023	214	16	european	european	PROPN
sc-3023	214	17	covid-19	covid-19	PROPN
sc-3023	214	18	data	data	PROPN
sc-3023	214	19	.	.	PUNCT
sc-3023	215	1	international	international	ADJ
sc-3023	215	2	journal	journal	PROPN
sc-3023	215	3	of	of	ADP
sc-3023	215	4	3d	3d	NUM
sc-3023	215	5	printing	printing	NOUN
sc-3023	215	6	technologies	technology	NOUN
sc-3023	215	7	and	and	CCONJ
sc-3023	215	8	digital	digital	ADJ
sc-3023	215	9	industry	industry	NOUN
sc-3023	215	10	.	.	PUNCT
sc-3023	216	1	https://doi.org/10.46519/ij3dptdi.1120718	https://doi.org/10.46519/ij3dptdi.1120718	PROPN
sc-3023	216	2	.	.	PUNCT
sc-3023	217	1	[	[	X
sc-3023	217	2	10	10	NUM
sc-3023	217	3	]	]	SYM
sc-3023	217	4	ye	ye	PROPN
sc-3023	217	5	,	,	PUNCT
sc-3023	217	6	z.	z.	PROPN
sc-3023	217	7	(	(	PUNCT
sc-3023	217	8	2019	2019	NUM
sc-3023	217	9	)	)	PUNCT
sc-3023	217	10	.	.	PUNCT
sc-3023	218	1	air	air	NOUN
sc-3023	218	2	pollutants	pollutant	NOUN
sc-3023	218	3	prediction	prediction	NOUN
sc-3023	218	4	in	in	ADP
sc-3023	218	5	shenzhen	shenzhen	PROPN
sc-3023	218	6	based	base	VERB
sc-3023	218	7	on	on	ADP
sc-3023	218	8	arima	arima	PROPN
sc-3023	218	9	and	and	CCONJ
sc-3023	218	10	prophet	prophet	NOUN
sc-3023	218	11	method	method	NOUN
sc-3023	218	12	.	.	PUNCT
sc-3023	219	1	e3s	e3s	PROPN
sc-3023	219	2	web	web	NOUN
sc-3023	219	3	of	of	ADP
sc-3023	219	4	conferences	conference	NOUN
sc-3023	219	5	,	,	PUNCT
sc-3023	219	6	136	136	NUM
sc-3023	219	7	,	,	PUNCT
sc-3023	219	8	05001	05001	NUM
sc-3023	219	9	.	.	PUNCT
sc-3023	220	1	https://doi.org/10.1051/e3sconf/201913605001	https://doi.org/10.1051/e3sconf/201913605001	PROPN
sc-3023	220	2	.	.	PUNCT
sc-3023	221	1	[	[	X
sc-3023	221	2	11	11	NUM
sc-3023	221	3	]	]	X
sc-3023	221	4	kumar	kumar	PROPN
sc-3023	221	5	jha	jha	PROPN
sc-3023	221	6	,	,	PUNCT
sc-3023	221	7	b.	b.	PROPN
sc-3023	221	8	,	,	PUNCT
sc-3023	221	9	&	&	CCONJ
sc-3023	221	10	amp	amp	PROPN
sc-3023	221	11	;	;	PUNCT
sc-3023	221	12	pande	pande	NOUN
sc-3023	221	13	,	,	PUNCT
sc-3023	221	14	s.	s.	PROPN
sc-3023	221	15	(	(	PUNCT
sc-3023	221	16	2021	2021	NUM
sc-3023	221	17	)	)	PUNCT
sc-3023	221	18	.	.	PUNCT
sc-3023	221	19	time	time	PROPN
sc-3023	221	20	series	series	PROPN
sc-3023	221	21	forecasting	forecasting	NOUN
sc-3023	221	22	model	model	NOUN
sc-3023	221	23	for	for	ADP
sc-3023	221	24	supermarket	supermarket	NOUN
sc-3023	221	25	sales	sale	NOUN
sc-3023	221	26	using	use	VERB
sc-3023	221	27	fb	fb	NOUN
sc-3023	221	28	-	-	NOUN
sc-3023	221	29	prophet	prophet	NOUN
sc-3023	221	30	.	.	PUNCT
sc-3023	222	1	2021	2021	NUM
sc-3023	222	2	5th	5th	ADJ
sc-3023	222	3	international	international	ADJ
sc-3023	222	4	conference	conference	NOUN
sc-3023	222	5	on	on	ADP
sc-3023	222	6	computing	computing	NOUN
sc-3023	222	7	methodologies	methodology	NOUN
sc-3023	222	8	and	and	CCONJ
sc-3023	222	9	communication	communication	NOUN
sc-3023	222	10	(	(	PUNCT
sc-3023	222	11	iccmc	iccmc	NOUN
sc-3023	222	12	)	)	PUNCT
sc-3023	222	13	.	.	PUNCT
sc-3023	223	1	https://doi.org/10.1109/iccmc51019.2021.9418033	https://doi.org/10.1109/iccmc51019.2021.9418033	PROPN
sc-3023	223	2	.	.	PUNCT
sc-3023	224	1	[	[	X
sc-3023	224	2	12	12	NUM
sc-3023	224	3	]	]	PUNCT
sc-3023	224	4	sirisha	sirisha	PROPN
sc-3023	224	5	,	,	PUNCT
sc-3023	224	6	u.	u.	PROPN
sc-3023	224	7	m.	m.	NOUN
sc-3023	224	8	,	,	PUNCT
sc-3023	224	9	belavagi	belavagi	PROPN
sc-3023	224	10	,	,	PUNCT
sc-3023	224	11	m.	m.	NOUN
sc-3023	224	12	c.	c.	PROPN
sc-3023	224	13	,	,	PUNCT
sc-3023	224	14	&	&	CCONJ
sc-3023	224	15	amp	amp	PROPN
sc-3023	224	16	;	;	PUNCT
sc-3023	224	17	attigeri	attigeri	ADJ
sc-3023	224	18	,	,	PUNCT
sc-3023	224	19	g.	g.	PROPN
sc-3023	224	20	(	(	PUNCT
sc-3023	224	21	2022	2022	NUM
sc-3023	224	22	)	)	PUNCT
sc-3023	224	23	.	.	PUNCT
sc-3023	225	1	profit	profit	NOUN
sc-3023	225	2	prediction	prediction	NOUN
sc-3023	225	3	using	use	VERB
sc-3023	225	4	arima	arima	NOUN
sc-3023	225	5	,	,	PUNCT
sc-3023	225	6	sarima	sarima	NOUN
sc-3023	225	7	and	and	CCONJ
sc-3023	225	8	lstm	lstm	NOUN
sc-3023	225	9	models	model	NOUN
sc-3023	225	10	in	in	ADP
sc-3023	225	11	time	time	NOUN
sc-3023	225	12	series	series	PROPN
sc-3023	225	13	forecasting	forecasting	PROPN
sc-3023	225	14	:	:	PUNCT
sc-3023	225	15	a	a	DET
sc-3023	225	16	comparison	comparison	NOUN
sc-3023	225	17	.	.	PUNCT
sc-3023	226	1	ieee	ieee	NOUN
sc-3023	226	2	access	access	NOUN
sc-3023	226	3	,	,	PUNCT
sc-3023	226	4	10	10	NUM
sc-3023	226	5	,	,	PUNCT
sc-3023	226	6	124715–124727	124715–124727	NUM
sc-3023	226	7	.	.	PUNCT
sc-3023	227	1	https://doi.org/10.1109/access.2022.3224938	https://doi.org/10.1109/access.2022.3224938	PROPN
sc-3023	227	2	.	.	PUNCT
sc-3023	228	1	eai	eai	PROPN
sc-3023	228	2	endorsed	endorse	VERB
sc-3023	228	3	transactions	transaction	NOUN
sc-3023	228	4	on	on	ADP
sc-3023	228	5	smart	smart	ADJ
sc-3023	228	6	cities	city	NOUN
sc-3023	228	7	|	|	ADV
sc-3023	228	8	volume	volume	VERB
sc-3023	228	9	7	7	NUM
sc-3023	228	10	|	|	NOUN
sc-3023	228	11	issue	issue	NOUN
sc-3023	228	12	2	2	NUM
sc-3023	228	13	|	|	NOUN
sc-3023	228	14	performance	performance	NOUN
sc-3023	228	15	evaluation	evaluation	NOUN
sc-3023	228	16	of	of	ADP
sc-3023	228	17	arima	arima	PROPN
sc-3023	228	18	and	and	CCONJ
sc-3023	228	19	fb	fb	ADJ
sc-3023	228	20	-	-	PUNCT
sc-3023	228	21	prophet	prophet	NOUN
sc-3023	228	22	forecasting	forecasting	NOUN
sc-3023	228	23	methods	method	NOUN
sc-3023	228	24	in	in	ADP
sc-3023	228	25	the	the	DET
sc-3023	228	26	context	context	NOUN
sc-3023	228	27	of	of	ADP
sc-3023	228	28	endemic	endemic	ADJ
sc-3023	228	29	diseases	disease	NOUN
sc-3023	228	30	:	:	PUNCT
sc-3023	228	31	a	a	DET
sc-3023	228	32	case	case	NOUN
sc-3023	228	33	study	study	NOUN
sc-3023	228	34	of	of	ADP
sc-3023	228	35	gedaref	gedaref	NOUN
sc-3023	228	36	state	state	NOUN
sc-3023	228	37	in	in	ADP
sc-3023	228	38	sudan	sudan	PROPN
sc-3023	228	39	9	9	NUM
sc-3023	229	1	[	[	X
sc-3023	229	2	13	13	NUM
sc-3023	229	3	]	]	SYM
sc-3023	229	4	ning	ning	NOUN
sc-3023	229	5	,	,	PUNCT
sc-3023	229	6	y.	y.	PROPN
sc-3023	229	7	,	,	PUNCT
sc-3023	229	8	kazemi	kazemi	PROPN
sc-3023	229	9	,	,	PUNCT
sc-3023	229	10	h.	h.	PROPN
sc-3023	229	11	,	,	PUNCT
sc-3023	229	12	&	&	CCONJ
sc-3023	229	13	amp	amp	PROPN
sc-3023	229	14	;	;	PUNCT
sc-3023	229	15	tahmasebi	tahmasebi	ADJ
sc-3023	229	16	,	,	PUNCT
sc-3023	229	17	p.	p.	NOUN
sc-3023	229	18	(	(	PUNCT
sc-3023	229	19	2022	2022	NUM
sc-3023	229	20	)	)	PUNCT
sc-3023	229	21	.	.	PUNCT
sc-3023	230	1	a	a	DET
sc-3023	230	2	comparative	comparative	ADJ
sc-3023	230	3	machine	machine	NOUN
sc-3023	230	4	learning	learn	VERB
sc-3023	230	5	study	study	NOUN
sc-3023	230	6	for	for	ADP
sc-3023	230	7	time	time	NOUN
sc-3023	230	8	series	series	PROPN
sc-3023	230	9	oil	oil	NOUN
sc-3023	230	10	production	production	NOUN
sc-3023	230	11	forecasting	forecasting	NOUN
sc-3023	230	12	:	:	PUNCT
sc-3023	230	13	arima	arima	PROPN
sc-3023	230	14	,	,	PUNCT
sc-3023	230	15	lstm	lstm	NOUN
sc-3023	230	16	,	,	PUNCT
sc-3023	230	17	and	and	CCONJ
sc-3023	230	18	prophet	prophet	NOUN
sc-3023	230	19	.	.	PUNCT
sc-3023	231	1	computers	computer	NOUN
sc-3023	231	2	&	&	CCONJ
sc-3023	231	3	amp	amp	PROPN
sc-3023	231	4	;	;	PUNCT
sc-3023	231	5	geosciences	geoscience	NOUN
sc-3023	231	6	,	,	PUNCT
sc-3023	231	7	164	164	NUM
sc-3023	231	8	,	,	PUNCT
sc-3023	231	9	105126	105126	NUM
sc-3023	231	10	.	.	PUNCT
sc-3023	232	1	https://doi.org/10.1016/j.cageo.2022.105126	https://doi.org/10.1016/j.cageo.2022.105126	NOUN
sc-3023	232	2	.	.	PUNCT
sc-3023	233	1	[	[	X
sc-3023	233	2	14	14	NUM
sc-3023	233	3	]	]	X
sc-3023	233	4	deniz	deniz	PROPN
sc-3023	233	5	a.	a.	PROPN
sc-3023	233	6	,	,	PUNCT
sc-3023	233	7	kiziloz	kiziloz	PROPN
sc-3023	233	8	,	,	PUNCT
sc-3023	233	9	h.e	h.e	PROPN
sc-3023	233	10	.	.	PROPN
sc-3023	233	11	,	,	PUNCT
sc-3023	233	12	sevinc	sevinc	PROPN
sc-3023	233	13	,	,	PUNCT
sc-3023	233	14	e.	e.	PROPN
sc-3023	233	15	,	,	PUNCT
sc-3023	233	16	and	and	CCONJ
sc-3023	233	17	dokeroglu	dokeroglu	NOUN
sc-3023	233	18	,	,	PUNCT
sc-3023	233	19	t.	t.	PROPN
sc-3023	233	20	,	,	PUNCT
sc-3023	233	21	“	"	PUNCT
sc-3023	233	22	predicting	predict	VERB
sc-3023	233	23	the	the	DET
sc-3023	233	24	severity	severity	NOUN
sc-3023	233	25	of	of	ADP
sc-3023	233	26	covid-19	covid-19	PROPN
sc-3023	233	27	patients	patient	NOUN
sc-3023	233	28	using	use	VERB
sc-3023	233	29	a	a	DET
sc-3023	233	30	multi	multi	ADJ
sc-3023	233	31	-	-	ADJ
sc-3023	233	32	threaded	threaded	ADJ
sc-3023	233	33	evolutionary	evolutionary	ADJ
sc-3023	233	34	feature	feature	NOUN
sc-3023	233	35	selection	selection	NOUN
sc-3023	233	36	algorithm	algorithm	NOUN
sc-3023	233	37	,	,	PUNCT
sc-3023	233	38	”	"	PUNCT
sc-3023	233	39	expert	expert	NOUN
sc-3023	233	40	syst	syst	NOUN
sc-3023	233	41	.	.	PUNCT
sc-3023	233	42	,	,	PUNCT
sc-3023	233	43	vol	vol	NOUN
sc-3023	233	44	.	.	PROPN
sc-3023	233	45	39	39	NUM
sc-3023	233	46	,	,	PUNCT
sc-3023	233	47	issue	issue	NOUN
sc-3023	233	48	.	.	PUNCT
sc-3023	234	1	5	5	NUM
sc-3023	234	2	,	,	PUNCT
sc-3023	234	3	12949	12949	NUM
sc-3023	234	4	,	,	PUNCT
sc-3023	234	5	2022	2022	NUM
sc-3023	234	6	.	.	PUNCT
sc-3023	235	1	[	[	X
sc-3023	235	2	15	15	NUM
sc-3023	235	3	]	]	X
sc-3023	235	4	alabdulrazzaq	alabdulrazzaq	ADJ
sc-3023	235	5	,	,	PUNCT
sc-3023	235	6	h.	h.	PROPN
sc-3023	235	7	,	,	PUNCT
sc-3023	235	8	alenezi	alenezi	PROPN
sc-3023	235	9	,	,	PUNCT
sc-3023	235	10	m.	m.	NOUN
sc-3023	235	11	n.	n.	PROPN
sc-3023	235	12	,	,	PUNCT
sc-3023	235	13	rawajfih	rawajfih	NOUN
sc-3023	235	14	,	,	PUNCT
sc-3023	235	15	y.	y.	PROPN
sc-3023	235	16	,	,	PUNCT
sc-3023	235	17	alghannam	alghannam	PROPN
sc-3023	235	18	,	,	PUNCT
sc-3023	235	19	b.	b.	PROPN
sc-3023	235	20	a.	a.	PROPN
sc-3023	235	21	,	,	PUNCT
sc-3023	235	22	al	al	PROPN
sc-3023	235	23	-	-	PUNCT
sc-3023	235	24	hassan	hassan	PROPN
sc-3023	235	25	,	,	PUNCT
sc-3023	235	26	a.	a.	NOUN
sc-3023	235	27	a.	a.	PROPN
sc-3023	235	28	,	,	PUNCT
sc-3023	235	29	al	al	PROPN
sc-3023	235	30	-	-	PUNCT
sc-3023	235	31	anzi	anzi	PROPN
sc-3023	235	32	,	,	PUNCT
sc-3023	235	33	f.	f.	PROPN
sc-3023	235	34	s.	s.	PROPN
sc-3023	235	35	,	,	PUNCT
sc-3023	235	36	“	"	PUNCT
sc-3023	235	37	on	on	ADP
sc-3023	235	38	the	the	DET
sc-3023	235	39	accuracy	accuracy	NOUN
sc-3023	235	40	of	of	ADP
sc-3023	235	41	arima	arima	PROPN
sc-3023	235	42	based	base	VERB
sc-3023	235	43	prediction	prediction	NOUN
sc-3023	235	44	of	of	ADP
sc-3023	235	45	covid-19	covid-19	PROPN
sc-3023	235	46	spread	spread	NOUN
sc-3023	235	47	”	"	PUNCT
sc-3023	235	48	results	result	NOUN
sc-3023	235	49	in	in	ADP
sc-3023	235	50	pyhsics	pyhsic	NOUN
sc-3023	235	51	,	,	PUNCT
sc-3023	235	52	vol	vol	NOUN
sc-3023	235	53	.	.	PROPN
sc-3023	235	54	27	27	NUM
sc-3023	235	55	,	,	PUNCT
sc-3023	235	56	2021	2021	NUM
sc-3023	235	57	.	.	PUNCT
sc-3023	236	1	[	[	X
sc-3023	236	2	16	16	NUM
sc-3023	236	3	]	]	X
sc-3023	236	4	taylor	taylor	PROPN
sc-3023	236	5	,	,	PUNCT
sc-3023	236	6	s.	s.	PROPN
sc-3023	236	7	j.	j.	PROPN
sc-3023	236	8	,	,	PUNCT
sc-3023	236	9	letham	letham	PROPN
sc-3023	236	10	,	,	PUNCT
sc-3023	236	11	b.	b.	PROPN
sc-3023	236	12	,	,	PUNCT
sc-3023	236	13	“	"	PUNCT
sc-3023	236	14	forecasting	forecast	VERB
sc-3023	236	15	at	at	ADP
sc-3023	236	16	scale	scale	NOUN
sc-3023	236	17	,	,	PUNCT
sc-3023	236	18	”	"	PUNCT
sc-3023	236	19	am	am	NOUN
sc-3023	236	20	.	.	PUNCT
sc-3023	237	1	stat	stat	PROPN
sc-3023	237	2	.	.	PUNCT
sc-3023	237	3	,	,	PUNCT
sc-3023	237	4	vol	vol	NOUN
sc-3023	237	5	.	.	PROPN
sc-3023	237	6	72	72	NUM
sc-3023	237	7	,	,	PUNCT
sc-3023	237	8	issue	issue	NOUN
sc-3023	237	9	.	.	PUNCT
sc-3023	238	1	1	1	NUM
sc-3023	238	2	,	,	PUNCT
sc-3023	238	3	pages	page	NOUN
sc-3023	238	4	37–45	37–45	NUM
sc-3023	238	5	,	,	PUNCT
sc-3023	238	6	2018	2018	NUM
sc-3023	238	7	.	.	PUNCT
sc-3023	239	1	[	[	X
sc-3023	239	2	17	17	NUM
sc-3023	239	3	]	]	X
sc-3023	239	4	mahanty	mahanty	PROPN
sc-3023	239	5	,	,	PUNCT
sc-3023	239	6	m.	m.	NOUN
sc-3023	239	7	,	,	PUNCT
sc-3023	239	8	swathi	swathi	PROPN
sc-3023	239	9	,	,	PUNCT
sc-3023	239	10	k.	k.	PROPN
sc-3023	239	11	teja	teja	PROPN
sc-3023	239	12	,	,	PUNCT
sc-3023	239	13	k.	k.	PROPN
sc-3023	239	14	s.	s.	PROPN
sc-3023	239	15	,	,	PUNCT
sc-3023	239	16	bhattacharyya	bhattacharyya	PROPN
sc-3023	239	17	,	,	PUNCT
sc-3023	239	18	d.	d.	PROPN
sc-3023	239	19	,	,	PUNCT
sc-3023	239	20	“	"	PUNCT
sc-3023	239	21	a	a	DET
sc-3023	239	22	prophet	prophet	NOUN
sc-3023	239	23	model	model	NOUN
sc-3023	239	24	to	to	PART
sc-3023	239	25	forecast	forecast	VERB
sc-3023	239	26	spread	spread	NOUN
sc-3023	239	27	of	of	ADP
sc-3023	239	28	covid-19	covid-19	PROPN
sc-3023	239	29	pandemic	pandemic	ADJ
sc-3023	239	30	,	,	PUNCT
sc-3023	239	31	”	"	PUNCT
sc-3023	239	32	journal	journal	NOUN
sc-3023	239	33	of	of	ADP
sc-3023	239	34	xidian	xidian	PROPN
sc-3023	239	35	university	university	PROPN
sc-3023	239	36	,	,	PUNCT
sc-3023	239	37	vol	vol	NOUN
sc-3023	239	38	14	14	NUM
sc-3023	239	39	,	,	PUNCT
sc-3023	239	40	issue	issue	NOUN
sc-3023	239	41	7	7	NUM
sc-3023	239	42	,	,	PUNCT
sc-3023	239	43	pages	page	NOUN
sc-3023	239	44	949	949	NUM
sc-3023	239	45	-	-	SYM
sc-3023	239	46	962	962	NUM
sc-3023	239	47	,	,	PUNCT
sc-3023	239	48	2020	2020	NUM
sc-3023	239	49	.	.	PUNCT
sc-3023	240	1	eai	eai	PROPN
sc-3023	240	2	endorsed	endorse	VERB
sc-3023	240	3	transactions	transaction	NOUN
sc-3023	240	4	on	on	ADP
sc-3023	240	5	smart	smart	ADJ
sc-3023	240	6	cities	city	NOUN
sc-3023	240	7	|	|	ADV
sc-3023	240	8	volume	volume	VERB
sc-3023	240	9	7	7	NUM
sc-3023	240	10	|	|	NOUN
sc-3023	240	11	issue	issue	NOUN
sc-3023	240	12	2	2	NUM
sc-3023	241	1	|	|	ADV