id	sid	tid	token	lemma	pos
aps-108	1	1	australian	australian	ADJ
aps-108	1	2	population	population	NOUN
aps-108	1	3	studies	study	NOUN
aps-108	1	4	2022	2022	NUM
aps-108	1	5	|	|	ADV
aps-108	1	6	volume	volume	NOUN
aps-108	1	7	6	6	NUM
aps-108	1	8	|	|	NOUN
aps-108	1	9	issue	issue	NOUN
aps-108	1	10	2	2	NUM
aps-108	1	11	|	|	NOUN
aps-108	1	12	pages	page	VERB
aps-108	1	13	33	33	NUM
aps-108	1	14	-	-	SYM
aps-108	1	15	44	44	NUM
aps-108	1	16	©	©	PROPN
aps-108	1	17	andrew	andrew	PROPN
aps-108	1	18	leigh	leigh	PROPN
aps-108	1	19	2022	2022	NUM
aps-108	1	20	.	.	PUNCT
aps-108	2	1	published	publish	VERB
aps-108	2	2	under	under	ADP
aps-108	2	3	the	the	DET
aps-108	2	4	creative	creative	ADJ
aps-108	2	5	commons	common	NOUN
aps-108	2	6	attribution	attribution	NOUN
aps-108	2	7	-	-	PUNCT
aps-108	2	8	noncommercial	noncommercial	ADJ
aps-108	2	9	licence	licence	NOUN
aps-108	2	10	3.0	3.0	NUM
aps-108	2	11	australia	australia	NOUN
aps-108	2	12	(	(	PUNCT
aps-108	2	13	cc	cc	NOUN
aps-108	2	14	by	by	ADP
aps-108	2	15	-	-	PUNCT
aps-108	2	16	nc	nc	PROPN
aps-108	2	17	3.0	3.0	NUM
aps-108	2	18	au	au	NOUN
aps-108	2	19	)	)	PUNCT
aps-108	2	20	.	.	PUNCT
aps-108	3	1	journal	journal	PROPN
aps-108	3	2	website	website	NOUN
aps-108	3	3	:	:	PUNCT
aps-108	3	4	www.australianpopulationstudies.org	www.australianpopulationstudies.org	PROPN
aps-108	3	5	apa	apa	PROPN
aps-108	3	6	conference	conference	PROPN
aps-108	3	7	health	health	NOUN
aps-108	3	8	inequalities	inequality	NOUN
aps-108	3	9	in	in	ADP
aps-108	3	10	the	the	DET
aps-108	3	11	covid	covid	PROPN
aps-108	3	12	pandemic	pandemic	NOUN
aps-108	3	13	:	:	PUNCT
aps-108	3	14	evidence	evidence	NOUN
aps-108	3	15	from	from	ADP
aps-108	3	16	australia	australia	PROPN
aps-108	3	17	andrew	andrew	PROPN
aps-108	3	18	leigh	leigh	PROPN
aps-108	3	19	parliament	parliament	PROPN
aps-108	3	20	of	of	ADP
aps-108	3	21	australia	australia	PROPN
aps-108	3	22	email	email	NOUN
aps-108	3	23	:	:	PUNCT
aps-108	3	24	andrew.leigh.mp@aph.gov.au	andrew.leigh.mp@aph.gov.au	PROPN
aps-108	3	25	.	.	PUNCT
aps-108	4	1	address	address	NOUN
aps-108	4	2	:	:	PUNCT
aps-108	4	3	parliament	parliament	PROPN
aps-108	4	4	house	house	PROPN
aps-108	4	5	,	,	PUNCT
aps-108	4	6	canberra	canberra	PROPN
aps-108	4	7	act	act	PROPN
aps-108	4	8	2600	2600	NUM
aps-108	4	9	,	,	PUNCT
aps-108	4	10	australia	australia	PROPN
aps-108	4	11	received	receive	VERB
aps-108	4	12	25	25	NUM
aps-108	4	13	november	november	PROPN
aps-108	4	14	2022	2022	NUM
aps-108	4	15	;	;	PUNCT
aps-108	4	16	accepted	accept	VERB
aps-108	4	17	28	28	NUM
aps-108	4	18	november	november	PROPN
aps-108	4	19	2022	2022	NUM
aps-108	4	20	;	;	PUNCT
aps-108	4	21	published	publish	VERB
aps-108	4	22	19	19	NUM
aps-108	4	23	december	december	PROPN
aps-108	4	24	2022	2022	NUM
aps-108	4	25	this	this	PRON
aps-108	4	26	is	be	AUX
aps-108	4	27	an	an	DET
aps-108	4	28	edited	edited	ADJ
aps-108	4	29	version	version	NOUN
aps-108	4	30	of	of	ADP
aps-108	4	31	the	the	DET
aps-108	4	32	w.d	w.d	PROPN
aps-108	4	33	.	.	PROPN
aps-108	4	34	borrie	borrie	PROPN
aps-108	4	35	lecture	lecture	NOUN
aps-108	4	36	given	give	VERB
aps-108	4	37	by	by	ADP
aps-108	4	38	the	the	DET
aps-108	4	39	hon	hon	PROPN
aps-108	4	40	.	.	PUNCT
aps-108	5	1	dr	dr	PROPN
aps-108	5	2	andrew	andrew	PROPN
aps-108	5	3	leigh	leigh	PROPN
aps-108	5	4	mp	mp	PROPN
aps-108	5	5	,	,	PUNCT
aps-108	5	6	assistant	assistant	NOUN
aps-108	5	7	minister	minister	NOUN
aps-108	5	8	for	for	ADP
aps-108	5	9	competition	competition	NOUN
aps-108	5	10	,	,	PUNCT
aps-108	5	11	charities	charity	NOUN
aps-108	5	12	and	and	CCONJ
aps-108	5	13	treasury	treasury	NOUN
aps-108	5	14	,	,	PUNCT
aps-108	5	15	at	at	ADP
aps-108	5	16	the	the	DET
aps-108	5	17	20th	20th	ADJ
aps-108	5	18	australian	australian	ADJ
aps-108	5	19	population	population	NOUN
aps-108	5	20	association	association	NOUN
aps-108	5	21	in	in	ADP
aps-108	5	22	canberra	canberra	PROPN
aps-108	5	23	on	on	ADP
aps-108	5	24	23	23	NUM
aps-108	5	25	november	november	PROPN
aps-108	5	26	2022	2022	NUM
aps-108	5	27	1	1	NUM
aps-108	5	28	.	.	PUNCT
aps-108	6	1	introduction	introduction	NOUN
aps-108	6	2	i	i	PRON
aps-108	6	3	acknowledge	acknowledge	VERB
aps-108	6	4	the	the	DET
aps-108	6	5	ngunnawal	ngunnawal	ADJ
aps-108	6	6	people	people	NOUN
aps-108	6	7	,	,	PUNCT
aps-108	6	8	traditional	traditional	ADJ
aps-108	6	9	custodians	custodian	NOUN
aps-108	6	10	of	of	ADP
aps-108	6	11	the	the	DET
aps-108	6	12	land	land	NOUN
aps-108	6	13	on	on	ADP
aps-108	6	14	which	which	PRON
aps-108	6	15	we	we	PRON
aps-108	6	16	gather	gather	VERB
aps-108	6	17	today	today	NOUN
aps-108	6	18	,	,	PUNCT
aps-108	6	19	pay	pay	VERB
aps-108	6	20	my	my	PRON
aps-108	6	21	respects	respect	NOUN
aps-108	6	22	to	to	ADP
aps-108	6	23	their	their	PRON
aps-108	6	24	elders	elder	NOUN
aps-108	6	25	past	past	ADJ
aps-108	6	26	and	and	CCONJ
aps-108	6	27	present	present	ADJ
aps-108	6	28	,	,	PUNCT
aps-108	6	29	and	and	CCONJ
aps-108	6	30	commit	commit	VERB
aps-108	6	31	myself	myself	PRON
aps-108	6	32	to	to	ADP
aps-108	6	33	the	the	DET
aps-108	6	34	full	full	ADJ
aps-108	6	35	implementation	implementation	NOUN
aps-108	6	36	of	of	ADP
aps-108	6	37	the	the	DET
aps-108	6	38	uluru	uluru	PROPN
aps-108	6	39	statement	statement	NOUN
aps-108	6	40	from	from	ADP
aps-108	6	41	the	the	DET
aps-108	6	42	heart	heart	NOUN
aps-108	6	43	.	.	PUNCT
aps-108	7	1	it	it	PRON
aps-108	7	2	is	be	AUX
aps-108	7	3	my	my	PRON
aps-108	7	4	pleasure	pleasure	NOUN
aps-108	7	5	to	to	PART
aps-108	7	6	be	be	AUX
aps-108	7	7	invited	invite	VERB
aps-108	7	8	to	to	PART
aps-108	7	9	talk	talk	VERB
aps-108	7	10	at	at	ADP
aps-108	7	11	the	the	DET
aps-108	7	12	australian	australian	ADJ
aps-108	7	13	population	population	NOUN
aps-108	7	14	association	association	NOUN
aps-108	7	15	’s	’s	PART
aps-108	7	16	2022	2022	NUM
aps-108	7	17	conference	conference	NOUN
aps-108	7	18	,	,	PUNCT
aps-108	7	19	and	and	CCONJ
aps-108	7	20	an	an	DET
aps-108	7	21	honour	honour	NOUN
aps-108	7	22	to	to	PART
aps-108	7	23	be	be	AUX
aps-108	7	24	giving	give	VERB
aps-108	7	25	the	the	DET
aps-108	7	26	w.	w.	PROPN
aps-108	7	27	d.	d.	PROPN
aps-108	7	28	borrie	borrie	PROPN
aps-108	7	29	lecture	lecture	NOUN
aps-108	7	30	.	.	PUNCT
aps-108	8	1	born	bear	VERB
aps-108	8	2	in	in	ADP
aps-108	8	3	new	new	PROPN
aps-108	8	4	zealand	zealand	PROPN
aps-108	8	5	in	in	ADP
aps-108	8	6	1913	1913	NUM
aps-108	8	7	,	,	PUNCT
aps-108	8	8	wilfred	wilfred	PROPN
aps-108	8	9	david	david	PROPN
aps-108	8	10	‘	'	PUNCT
aps-108	8	11	mick	mick	PROPN
aps-108	8	12	’	'	PUNCT
aps-108	8	13	borrie	borrie	NOUN
aps-108	8	14	was	be	AUX
aps-108	8	15	at	at	ADP
aps-108	8	16	the	the	DET
aps-108	8	17	vanguard	vanguard	NOUN
aps-108	8	18	of	of	ADP
aps-108	8	19	population	population	NOUN
aps-108	8	20	studies	study	NOUN
aps-108	8	21	in	in	ADP
aps-108	8	22	the	the	DET
aps-108	8	23	1950s	1950s	NUM
aps-108	8	24	.	.	PUNCT
aps-108	9	1	at	at	ADP
aps-108	9	2	a	a	DET
aps-108	9	3	time	time	NOUN
aps-108	9	4	when	when	SCONJ
aps-108	9	5	australia	australia	PROPN
aps-108	9	6	’s	’s	PART
aps-108	9	7	post	post	ADJ
aps-108	9	8	-	-	ADJ
aps-108	9	9	war	war	ADJ
aps-108	9	10	migration	migration	NOUN
aps-108	9	11	was	be	AUX
aps-108	9	12	booming	booming	ADJ
aps-108	9	13	,	,	PUNCT
aps-108	9	14	it	it	PRON
aps-108	9	15	made	make	VERB
aps-108	9	16	sense	sense	NOUN
aps-108	9	17	for	for	SCONJ
aps-108	9	18	the	the	DET
aps-108	9	19	nation	nation	NOUN
aps-108	9	20	to	to	PART
aps-108	9	21	be	be	AUX
aps-108	9	22	studying	study	VERB
aps-108	9	23	demography	demography	NOUN
aps-108	9	24	.	.	PUNCT
aps-108	10	1	in	in	ADP
aps-108	10	2	1952	1952	NUM
aps-108	10	3	,	,	PUNCT
aps-108	10	4	four	four	NUM
aps-108	10	5	years	year	NOUN
aps-108	10	6	after	after	SCONJ
aps-108	10	7	borrie	borrie	NOUN
aps-108	10	8	joined	join	VERB
aps-108	10	9	the	the	DET
aps-108	10	10	australian	australian	ADJ
aps-108	10	11	national	national	PROPN
aps-108	10	12	university	university	PROPN
aps-108	10	13	’s	’s	PART
aps-108	10	14	demography	demography	NOUN
aps-108	10	15	group	group	NOUN
aps-108	10	16	,	,	PUNCT
aps-108	10	17	it	it	PRON
aps-108	10	18	was	be	AUX
aps-108	10	19	formally	formally	ADV
aps-108	10	20	designated	designate	VERB
aps-108	10	21	as	as	ADP
aps-108	10	22	a	a	DET
aps-108	10	23	department	department	NOUN
aps-108	10	24	.	.	PUNCT
aps-108	11	1	this	this	PRON
aps-108	11	2	made	make	VERB
aps-108	11	3	it	it	PRON
aps-108	11	4	the	the	DET
aps-108	11	5	first	first	ADJ
aps-108	11	6	demography	demography	PROPN
aps-108	11	7	department	department	NOUN
aps-108	11	8	in	in	ADP
aps-108	11	9	the	the	DET
aps-108	11	10	world	world	NOUN
aps-108	11	11	.	.	PUNCT
aps-108	12	1	five	five	NUM
aps-108	12	2	years	year	NOUN
aps-108	12	3	later	later	ADV
aps-108	12	4	,	,	PUNCT
aps-108	12	5	borrie	borrie	PROPN
aps-108	12	6	was	be	AUX
aps-108	12	7	promoted	promote	VERB
aps-108	12	8	to	to	ADP
aps-108	12	9	chair	chair	NOUN
aps-108	12	10	.	.	PUNCT
aps-108	13	1	that	that	PRON
aps-108	13	2	made	make	VERB
aps-108	13	3	him	he	PRON
aps-108	13	4	the	the	DET
aps-108	13	5	world	world	NOUN
aps-108	13	6	’s	’s	PART
aps-108	13	7	first	first	ADJ
aps-108	13	8	professor	professor	NOUN
aps-108	13	9	of	of	ADP
aps-108	13	10	demography	demography	NOUN
aps-108	13	11	(	(	PUNCT
aps-108	13	12	foster	foster	ADJ
aps-108	13	13	and	and	CCONJ
aps-108	13	14	varghese	varghese	PROPN
aps-108	13	15	2009	2009	NUM
aps-108	13	16	)	)	PUNCT
aps-108	13	17	.	.	PUNCT
aps-108	14	1	borrie	borrie	PROPN
aps-108	14	2	was	be	AUX
aps-108	14	3	prodigious	prodigious	ADJ
aps-108	14	4	,	,	PUNCT
aps-108	14	5	authoring	authoring	NOUN
aps-108	14	6	or	or	CCONJ
aps-108	14	7	co	co	NOUN
aps-108	14	8	-	-	ADJ
aps-108	14	9	authoring	author	VERB
aps-108	14	10	15	15	NUM
aps-108	14	11	books	book	NOUN
aps-108	14	12	and	and	CCONJ
aps-108	14	13	163	163	NUM
aps-108	14	14	articles	article	NOUN
aps-108	14	15	or	or	CCONJ
aps-108	14	16	reports	report	NOUN
aps-108	14	17	(	(	PUNCT
aps-108	14	18	price	price	NOUN
aps-108	14	19	2000	2000	NUM
aps-108	14	20	)	)	PUNCT
aps-108	14	21	.	.	PUNCT
aps-108	15	1	when	when	SCONJ
aps-108	15	2	i	i	PRON
aps-108	15	3	joined	join	VERB
aps-108	15	4	the	the	DET
aps-108	15	5	research	research	NOUN
aps-108	15	6	school	school	NOUN
aps-108	15	7	of	of	ADP
aps-108	15	8	social	social	ADJ
aps-108	15	9	sciences	science	NOUN
aps-108	15	10	in	in	ADP
aps-108	15	11	2004	2004	NUM
aps-108	15	12	,	,	PUNCT
aps-108	15	13	a	a	DET
aps-108	15	14	quarter	quarter	NOUN
aps-108	15	15	century	century	NOUN
aps-108	15	16	after	after	ADP
aps-108	15	17	borrie	borrie	NOUN
aps-108	15	18	’s	’s	PART
aps-108	15	19	retirement	retirement	NOUN
aps-108	15	20	,	,	PUNCT
aps-108	15	21	his	his	PRON
aps-108	15	22	spirit	spirit	NOUN
aps-108	15	23	remained	remain	VERB
aps-108	15	24	strong	strong	ADJ
aps-108	15	25	in	in	ADP
aps-108	15	26	the	the	DET
aps-108	15	27	demography	demography	NOUN
aps-108	15	28	department	department	NOUN
aps-108	15	29	.	.	PUNCT
aps-108	16	1	demographers	demographer	NOUN
aps-108	16	2	held	hold	VERB
aps-108	16	3	regular	regular	ADJ
aps-108	16	4	seminars	seminar	NOUN
aps-108	16	5	in	in	ADP
aps-108	16	6	the	the	DET
aps-108	16	7	borrie	borrie	NOUN
aps-108	16	8	seminar	seminar	NOUN
aps-108	16	9	room	room	NOUN
aps-108	16	10	,	,	PUNCT
aps-108	16	11	a	a	DET
aps-108	16	12	location	location	NOUN
aps-108	16	13	guaranteed	guarantee	VERB
aps-108	16	14	to	to	PART
aps-108	16	15	produce	produce	VERB
aps-108	16	16	spirited	spirited	ADJ
aps-108	16	17	engagement	engagement	NOUN
aps-108	16	18	from	from	ADP
aps-108	16	19	the	the	DET
aps-108	16	20	attendees	attendee	NOUN
aps-108	16	21	.	.	PUNCT
aps-108	17	1	due	due	ADP
aps-108	17	2	to	to	ADP
aps-108	17	3	the	the	DET
aps-108	17	4	uniquely	uniquely	ADV
aps-108	17	5	complicated	complicated	ADJ
aps-108	17	6	layout	layout	NOUN
aps-108	17	7	of	of	ADP
aps-108	17	8	the	the	DET
aps-108	17	9	coombs	coombs	PROPN
aps-108	17	10	building	building	NOUN
aps-108	17	11	,	,	PUNCT
aps-108	17	12	it	it	PRON
aps-108	17	13	was	be	AUX
aps-108	17	14	all	all	PRON
aps-108	17	15	but	but	CCONJ
aps-108	17	16	off	off	ADP
aps-108	17	17	-	-	PUNCT
aps-108	17	18	limits	limit	NOUN
aps-108	17	19	to	to	ADP
aps-108	17	20	outsiders	outsider	NOUN
aps-108	17	21	.	.	PUNCT
aps-108	18	1	when	when	SCONJ
aps-108	18	2	occasionally	occasionally	ADV
aps-108	18	3	a	a	DET
aps-108	18	4	non	non	ADJ
aps-108	18	5	-	-	ADJ
aps-108	18	6	coombs	coombs	ADJ
aps-108	18	7	dweller	dweller	NOUN
aps-108	18	8	stumbled	stumble	VERB
aps-108	18	9	into	into	ADP
aps-108	18	10	a	a	DET
aps-108	18	11	seminar	seminar	NOUN
aps-108	18	12	,	,	PUNCT
aps-108	18	13	they	they	PRON
aps-108	18	14	invariably	invariably	ADV
aps-108	18	15	bore	bear	VERB
aps-108	18	16	the	the	DET
aps-108	18	17	expression	expression	NOUN
aps-108	18	18	of	of	ADP
aps-108	18	19	someone	someone	PRON
aps-108	18	20	who	who	PRON
aps-108	18	21	has	have	AUX
aps-108	18	22	just	just	ADV
aps-108	18	23	found	find	VERB
aps-108	18	24	their	their	PRON
aps-108	18	25	way	way	NOUN
aps-108	18	26	through	through	ADP
aps-108	18	27	an	an	DET
aps-108	18	28	especially	especially	ADV
aps-108	18	29	complicated	complicated	ADJ
aps-108	18	30	hedge	hedge	NOUN
aps-108	18	31	maze	maze	NOUN
aps-108	18	32	.	.	PUNCT
aps-108	19	1	i	i	PRON
aps-108	19	2	learned	learn	VERB
aps-108	19	3	a	a	DET
aps-108	19	4	great	great	ADJ
aps-108	19	5	deal	deal	NOUN
aps-108	19	6	from	from	ADP
aps-108	19	7	demography	demography	NOUN
aps-108	19	8	colleagues	colleague	NOUN
aps-108	19	9	in	in	ADP
aps-108	19	10	the	the	DET
aps-108	19	11	research	research	NOUN
aps-108	19	12	school	school	NOUN
aps-108	19	13	of	of	ADP
aps-108	19	14	social	social	ADJ
aps-108	19	15	sciences	science	NOUN
aps-108	19	16	,	,	PUNCT
aps-108	19	17	including	include	VERB
aps-108	19	18	doyens	doyen	NOUN
aps-108	19	19	of	of	ADP
aps-108	19	20	the	the	DET
aps-108	19	21	discipline	discipline	NOUN
aps-108	19	22	peter	peter	PROPN
aps-108	19	23	mcdonald	mcdonald	PROPN
aps-108	19	24	,	,	PUNCT
aps-108	19	25	ann	ann	PROPN
aps-108	19	26	evans	evans	PROPN
aps-108	19	27	,	,	PUNCT
aps-108	19	28	terry	terry	PROPN
aps-108	19	29	hull	hull	PROPN
aps-108	19	30	and	and	CCONJ
aps-108	19	31	edith	edith	PROPN
aps-108	19	32	gray	gray	PROPN
aps-108	19	33	.	.	PUNCT
aps-108	20	1	http://www.australianpopulationstudies.org/	http://www.australianpopulationstudies.org/	PRON
aps-108	20	2	mailto:andrew.leigh.mp@aph.gov.au	mailto:andrew.leigh.mp@aph.gov.au	PROPN
aps-108	20	3	34	34	NUM
aps-108	20	4	leigh	leigh	ADJ
aps-108	20	5	australian	australian	ADJ
aps-108	20	6	population	population	NOUN
aps-108	20	7	studies	study	NOUN
aps-108	20	8	6	6	NUM
aps-108	20	9	(	(	PUNCT
aps-108	20	10	2	2	NUM
aps-108	20	11	)	)	PUNCT
aps-108	20	12	2022	2022	NUM
aps-108	20	13	it	it	PRON
aps-108	20	14	has	have	AUX
aps-108	20	15	been	be	AUX
aps-108	20	16	said	say	VERB
aps-108	20	17	that	that	SCONJ
aps-108	20	18	demography	demography	NOUN
aps-108	20	19	tells	tell	VERB
aps-108	20	20	the	the	DET
aps-108	20	21	story	story	NOUN
aps-108	20	22	of	of	ADP
aps-108	20	23	our	our	PRON
aps-108	20	24	lives	life	NOUN
aps-108	20	25	and	and	CCONJ
aps-108	20	26	the	the	DET
aps-108	20	27	last	last	ADJ
aps-108	20	28	few	few	ADJ
aps-108	20	29	years	year	NOUN
aps-108	20	30	have	have	AUX
aps-108	20	31	been	be	AUX
aps-108	20	32	quite	quite	DET
aps-108	20	33	a	a	DET
aps-108	20	34	story	story	NOUN
aps-108	20	35	.	.	PUNCT
aps-108	21	1	today	today	NOUN
aps-108	21	2	i	i	PRON
aps-108	21	3	will	will	AUX
aps-108	21	4	analyse	analyse	VERB
aps-108	21	5	covid	covid	PROPN
aps-108	21	6	mortality	mortality	PROPN
aps-108	21	7	,	,	PUNCT
aps-108	21	8	and	and	CCONJ
aps-108	21	9	in	in	ADP
aps-108	21	10	particular	particular	ADJ
aps-108	21	11	how	how	SCONJ
aps-108	21	12	the	the	DET
aps-108	21	13	health	health	NOUN
aps-108	21	14	burden	burden	NOUN
aps-108	21	15	of	of	ADP
aps-108	21	16	the	the	DET
aps-108	21	17	pandemic	pandemic	NOUN
aps-108	21	18	has	have	AUX
aps-108	21	19	fallen	fall	VERB
aps-108	21	20	hardest	hard	ADV
aps-108	21	21	on	on	ADP
aps-108	21	22	the	the	DET
aps-108	21	23	most	most	ADV
aps-108	21	24	disadvantaged	disadvantaged	ADJ
aps-108	21	25	people	people	NOUN
aps-108	21	26	in	in	ADP
aps-108	21	27	the	the	DET
aps-108	21	28	australian	australian	ADJ
aps-108	21	29	community	community	NOUN
aps-108	21	30	.	.	PUNCT
aps-108	22	1	2	2	X
aps-108	22	2	.	.	NUM
aps-108	22	3	provisional	provisional	ADJ
aps-108	22	4	mortality	mortality	NOUN
aps-108	22	5	statistics	statistic	NOUN
aps-108	22	6	it	it	PRON
aps-108	22	7	is	be	AUX
aps-108	22	8	possible	possible	ADJ
aps-108	22	9	to	to	PART
aps-108	22	10	undertake	undertake	VERB
aps-108	22	11	this	this	DET
aps-108	22	12	analysis	analysis	NOUN
aps-108	22	13	only	only	ADV
aps-108	22	14	because	because	SCONJ
aps-108	22	15	of	of	ADP
aps-108	22	16	new	new	ADJ
aps-108	22	17	data	datum	NOUN
aps-108	22	18	collection	collection	NOUN
aps-108	22	19	efforts	effort	NOUN
aps-108	22	20	and	and	CCONJ
aps-108	22	21	fresh	fresh	ADJ
aps-108	22	22	research	research	NOUN
aps-108	22	23	that	that	PRON
aps-108	22	24	has	have	AUX
aps-108	22	25	been	be	AUX
aps-108	22	26	built	build	VERB
aps-108	22	27	off	off	ADP
aps-108	22	28	these	these	DET
aps-108	22	29	data	datum	NOUN
aps-108	22	30	.	.	PUNCT
aps-108	23	1	more	more	ADV
aps-108	23	2	timely	timely	ADJ
aps-108	23	3	data	datum	NOUN
aps-108	23	4	in	in	ADP
aps-108	23	5	recent	recent	ADJ
aps-108	23	6	years	year	NOUN
aps-108	23	7	has	have	AUX
aps-108	23	8	helped	help	VERB
aps-108	23	9	australians	australian	NOUN
aps-108	23	10	see	see	VERB
aps-108	23	11	what	what	PRON
aps-108	23	12	has	have	AUX
aps-108	23	13	been	be	AUX
aps-108	23	14	happening	happen	VERB
aps-108	23	15	during	during	ADP
aps-108	23	16	the	the	DET
aps-108	23	17	pandemic	pandemic	NOUN
aps-108	23	18	.	.	PUNCT
aps-108	24	1	and	and	CCONJ
aps-108	24	2	this	this	PRON
aps-108	24	3	in	in	ADP
aps-108	24	4	turn	turn	NOUN
aps-108	24	5	has	have	AUX
aps-108	24	6	allowed	allow	VERB
aps-108	24	7	policy	policy	NOUN
aps-108	24	8	makers	maker	NOUN
aps-108	24	9	to	to	PART
aps-108	24	10	respond	respond	VERB
aps-108	24	11	in	in	ADP
aps-108	24	12	an	an	DET
aps-108	24	13	informed	informed	ADJ
aps-108	24	14	way	way	NOUN
aps-108	24	15	,	,	PUNCT
aps-108	24	16	faster	fast	ADV
aps-108	24	17	than	than	ADP
aps-108	24	18	ever	ever	ADV
aps-108	24	19	before	before	ADV
aps-108	24	20	.	.	PUNCT
aps-108	25	1	the	the	DET
aps-108	25	2	agility	agility	NOUN
aps-108	25	3	of	of	ADP
aps-108	25	4	the	the	DET
aps-108	25	5	australian	australian	ADJ
aps-108	25	6	bureau	bureau	NOUN
aps-108	25	7	of	of	ADP
aps-108	25	8	statistics	statistic	NOUN
aps-108	25	9	(	(	PUNCT
aps-108	25	10	abs	ab	NOUN
aps-108	25	11	)	)	PUNCT
aps-108	25	12	has	have	AUX
aps-108	25	13	greatly	greatly	ADV
aps-108	25	14	aided	aid	VERB
aps-108	25	15	this	this	DET
aps-108	25	16	effort	effort	NOUN
aps-108	25	17	.	.	PUNCT
aps-108	26	1	provisional	provisional	ADJ
aps-108	26	2	mortality	mortality	NOUN
aps-108	26	3	statistics	statistic	NOUN
aps-108	26	4	were	be	AUX
aps-108	26	5	first	first	ADV
aps-108	26	6	released	release	VERB
aps-108	26	7	on	on	ADP
aps-108	26	8	24	24	NUM
aps-108	26	9	june	june	PROPN
aps-108	26	10	2020	2020	NUM
aps-108	26	11	to	to	PART
aps-108	26	12	account	account	VERB
aps-108	26	13	for	for	ADP
aps-108	26	14	the	the	DET
aps-108	26	15	first	first	ADJ
aps-108	26	16	3	3	NUM
aps-108	26	17	months	month	NOUN
aps-108	26	18	of	of	ADP
aps-108	26	19	the	the	DET
aps-108	26	20	pandemic	pandemic	ADJ
aps-108	26	21	,	,	PUNCT
aps-108	26	22	and	and	CCONJ
aps-108	26	23	continued	continue	VERB
aps-108	26	24	to	to	PART
aps-108	26	25	be	be	AUX
aps-108	26	26	produced	produce	VERB
aps-108	26	27	each	each	DET
aps-108	26	28	month	month	NOUN
aps-108	26	29	thereafter	thereafter	ADV
aps-108	26	30	as	as	ADP
aps-108	26	31	a	a	DET
aps-108	26	32	way	way	NOUN
aps-108	26	33	of	of	ADP
aps-108	26	34	tracking	track	VERB
aps-108	26	35	mortality	mortality	NOUN
aps-108	26	36	through	through	ADP
aps-108	26	37	the	the	DET
aps-108	26	38	covid	covid	PROPN
aps-108	26	39	pandemic	pandemic	NOUN
aps-108	26	40	.	.	PUNCT
aps-108	27	1	specifically	specifically	ADV
aps-108	27	2	,	,	PUNCT
aps-108	27	3	the	the	DET
aps-108	27	4	report	report	NOUN
aps-108	27	5	aimed	aim	VERB
aps-108	27	6	to	to	PART
aps-108	27	7	identify	identify	VERB
aps-108	27	8	deaths	death	NOUN
aps-108	27	9	due	due	ADJ
aps-108	27	10	to	to	PART
aps-108	27	11	covid	covid	VERB
aps-108	27	12	and	and	CCONJ
aps-108	27	13	non	non	ADJ
aps-108	27	14	-	-	ADJ
aps-108	27	15	covid	covid	ADJ
aps-108	27	16	causes	cause	NOUN
aps-108	27	17	–	–	PUNCT
aps-108	27	18	recognising	recognise	VERB
aps-108	27	19	that	that	SCONJ
aps-108	27	20	the	the	DET
aps-108	27	21	disruption	disruption	NOUN
aps-108	27	22	of	of	ADP
aps-108	27	23	the	the	DET
aps-108	27	24	pandemic	pandemic	NOUN
aps-108	27	25	could	could	AUX
aps-108	27	26	potentially	potentially	ADV
aps-108	27	27	impact	impact	VERB
aps-108	27	28	mortality	mortality	NOUN
aps-108	27	29	in	in	ADP
aps-108	27	30	unexpected	unexpected	ADJ
aps-108	27	31	ways	way	NOUN
aps-108	27	32	.	.	PUNCT
aps-108	28	1	legislation	legislation	NOUN
aps-108	28	2	in	in	ADP
aps-108	28	3	australia	australia	PROPN
aps-108	28	4	mandates	mandate	NOUN
aps-108	28	5	that	that	PRON
aps-108	28	6	a	a	DET
aps-108	28	7	death	death	NOUN
aps-108	28	8	can	can	AUX
aps-108	28	9	only	only	ADV
aps-108	28	10	be	be	AUX
aps-108	28	11	registered	register	VERB
aps-108	28	12	after	after	ADP
aps-108	28	13	a	a	DET
aps-108	28	14	burial	burial	NOUN
aps-108	28	15	or	or	CCONJ
aps-108	28	16	cremation	cremation	NOUN
aps-108	28	17	has	have	AUX
aps-108	28	18	occurred	occur	VERB
aps-108	28	19	,	,	PUNCT
aps-108	28	20	hence	hence	ADV
aps-108	28	21	there	there	PRON
aps-108	28	22	can	can	AUX
aps-108	28	23	be	be	AUX
aps-108	28	24	a	a	DET
aps-108	28	25	delay	delay	NOUN
aps-108	28	26	in	in	ADP
aps-108	28	27	the	the	DET
aps-108	28	28	abs	ab	NOUN
aps-108	28	29	receiving	receive	VERB
aps-108	28	30	death	death	NOUN
aps-108	28	31	registrations	registration	NOUN
aps-108	28	32	.	.	PUNCT
aps-108	29	1	to	to	PART
aps-108	29	2	minimise	minimise	VERB
aps-108	29	3	these	these	DET
aps-108	29	4	delays	delay	NOUN
aps-108	29	5	,	,	PUNCT
aps-108	29	6	the	the	DET
aps-108	29	7	abs	ab	NOUN
aps-108	29	8	’s	’s	PART
aps-108	29	9	preliminary	preliminary	ADJ
aps-108	29	10	mortality	mortality	NOUN
aps-108	29	11	reports	report	NOUN
aps-108	29	12	initially	initially	ADV
aps-108	29	13	produced	produce	VERB
aps-108	29	14	information	information	NOUN
aps-108	29	15	on	on	ADP
aps-108	29	16	doctor	doctor	NOUN
aps-108	29	17	-	-	PUNCT
aps-108	29	18	certified	certify	VERB
aps-108	29	19	deaths	death	NOUN
aps-108	29	20	only	only	ADV
aps-108	29	21	,	,	PUNCT
aps-108	29	22	which	which	PRON
aps-108	29	23	are	be	AUX
aps-108	29	24	finalised	finalise	VERB
aps-108	29	25	more	more	ADV
aps-108	29	26	quickly	quickly	ADV
aps-108	29	27	than	than	ADP
aps-108	29	28	coroner	coroner	NOUN
aps-108	29	29	-	-	PUNCT
aps-108	29	30	certified	certify	VERB
aps-108	29	31	deaths	death	NOUN
aps-108	29	32	.	.	PUNCT
aps-108	30	1	the	the	DET
aps-108	30	2	benefit	benefit	NOUN
aps-108	30	3	of	of	ADP
aps-108	30	4	producing	produce	VERB
aps-108	30	5	information	information	NOUN
aps-108	30	6	on	on	ADP
aps-108	30	7	doctor	doctor	NOUN
aps-108	30	8	-	-	PUNCT
aps-108	30	9	certified	certify	VERB
aps-108	30	10	deaths	death	NOUN
aps-108	30	11	was	be	AUX
aps-108	30	12	that	that	PRON
aps-108	30	13	detailed	detailed	ADJ
aps-108	30	14	cause	cause	NOUN
aps-108	30	15	of	of	ADP
aps-108	30	16	death	death	NOUN
aps-108	30	17	information	information	NOUN
aps-108	30	18	for	for	ADP
aps-108	30	19	a	a	DET
aps-108	30	20	range	range	NOUN
aps-108	30	21	of	of	ADP
aps-108	30	22	causes	cause	NOUN
aps-108	30	23	could	could	AUX
aps-108	30	24	be	be	AUX
aps-108	30	25	produced	produce	VERB
aps-108	30	26	.	.	PUNCT
aps-108	31	1	cause	cause	NOUN
aps-108	31	2	-	-	PUNCT
aps-108	31	3	of	of	ADP
aps-108	31	4	-	-	PUNCT
aps-108	31	5	death	death	NOUN
aps-108	31	6	information	information	NOUN
aps-108	31	7	can	can	AUX
aps-108	31	8	indicate	indicate	VERB
aps-108	31	9	if	if	SCONJ
aps-108	31	10	non	non	ADJ
aps-108	31	11	direct	direct	ADJ
aps-108	31	12	effects	effect	NOUN
aps-108	31	13	of	of	ADP
aps-108	31	14	the	the	DET
aps-108	31	15	pandemic	pandemic	ADJ
aps-108	31	16	such	such	ADJ
aps-108	31	17	as	as	ADP
aps-108	31	18	access	access	NOUN
aps-108	31	19	to	to	ADP
aps-108	31	20	healthcare	healthcare	NOUN
aps-108	31	21	have	have	VERB
aps-108	31	22	an	an	DET
aps-108	31	23	impact	impact	NOUN
aps-108	31	24	on	on	ADP
aps-108	31	25	mortality	mortality	NOUN
aps-108	31	26	.	.	PUNCT
aps-108	32	1	as	as	SCONJ
aps-108	32	2	the	the	DET
aps-108	32	3	pandemic	pandemic	NOUN
aps-108	32	4	progressed	progress	VERB
aps-108	32	5	,	,	PUNCT
aps-108	32	6	questions	question	NOUN
aps-108	32	7	arose	arise	VERB
aps-108	32	8	around	around	ADP
aps-108	32	9	mortality	mortality	NOUN
aps-108	32	10	regarding	regard	VERB
aps-108	32	11	mental	mental	ADJ
aps-108	32	12	health	health	NOUN
aps-108	32	13	,	,	PUNCT
aps-108	32	14	suicide	suicide	NOUN
aps-108	32	15	,	,	PUNCT
aps-108	32	16	substance	substance	NOUN
aps-108	32	17	use	use	NOUN
aps-108	32	18	and	and	CCONJ
aps-108	32	19	risk	risk	NOUN
aps-108	32	20	-	-	PUNCT
aps-108	32	21	taking	take	VERB
aps-108	32	22	behaviours	behaviour	NOUN
aps-108	32	23	–	–	PUNCT
aps-108	32	24	all	all	DET
aps-108	32	25	deaths	death	NOUN
aps-108	32	26	that	that	PRON
aps-108	32	27	are	be	AUX
aps-108	32	28	more	more	ADV
aps-108	32	29	likely	likely	ADJ
aps-108	32	30	to	to	PART
aps-108	32	31	be	be	AUX
aps-108	32	32	certified	certify	VERB
aps-108	32	33	by	by	ADP
aps-108	32	34	a	a	DET
aps-108	32	35	coroner	coroner	NOUN
aps-108	32	36	.	.	PUNCT
aps-108	33	1	while	while	SCONJ
aps-108	33	2	causes	cause	NOUN
aps-108	33	3	of	of	ADP
aps-108	33	4	death	death	NOUN
aps-108	33	5	for	for	ADP
aps-108	33	6	a	a	DET
aps-108	33	7	coroner	coroner	NOUN
aps-108	33	8	-	-	PUNCT
aps-108	33	9	certified	certify	VERB
aps-108	33	10	death	death	NOUN
aps-108	33	11	are	be	AUX
aps-108	33	12	not	not	PART
aps-108	33	13	available	available	ADJ
aps-108	33	14	quickly	quickly	ADV
aps-108	33	15	,	,	PUNCT
aps-108	33	16	the	the	DET
aps-108	33	17	decision	decision	NOUN
aps-108	33	18	was	be	AUX
aps-108	33	19	made	make	VERB
aps-108	33	20	to	to	PART
aps-108	33	21	include	include	VERB
aps-108	33	22	coroner	coroner	NOUN
aps-108	33	23	certified	certify	VERB
aps-108	33	24	deaths	death	NOUN
aps-108	33	25	at	at	ADP
aps-108	33	26	the	the	DET
aps-108	33	27	‘	'	PUNCT
aps-108	33	28	all	all	DET
aps-108	33	29	cause	cause	NOUN
aps-108	33	30	’	'	PUNCT
aps-108	33	31	level	level	NOUN
aps-108	33	32	into	into	ADP
aps-108	33	33	the	the	DET
aps-108	33	34	publication	publication	NOUN
aps-108	33	35	from	from	ADP
aps-108	33	36	april	april	PROPN
aps-108	33	37	this	this	DET
aps-108	33	38	year	year	NOUN
aps-108	33	39	.	.	PUNCT
aps-108	34	1	this	this	PRON
aps-108	34	2	has	have	AUX
aps-108	34	3	then	then	ADV
aps-108	34	4	allowed	allow	VERB
aps-108	34	5	for	for	SCONJ
aps-108	34	6	any	any	DET
aps-108	34	7	changes	change	NOUN
aps-108	34	8	in	in	ADP
aps-108	34	9	coroner	coroner	NOUN
aps-108	34	10	certified	certify	VERB
aps-108	34	11	deaths	death	NOUN
aps-108	34	12	to	to	PART
aps-108	34	13	be	be	AUX
aps-108	34	14	tracked	track	VERB
aps-108	34	15	at	at	ADP
aps-108	34	16	a	a	DET
aps-108	34	17	broad	broad	ADJ
aps-108	34	18	level	level	NOUN
aps-108	34	19	,	,	PUNCT
aps-108	34	20	providing	provide	VERB
aps-108	34	21	early	early	ADJ
aps-108	34	22	indications	indication	NOUN
aps-108	34	23	into	into	ADP
aps-108	34	24	the	the	DET
aps-108	34	25	patterns	pattern	NOUN
aps-108	34	26	of	of	ADP
aps-108	34	27	deaths	death	NOUN
aps-108	34	28	that	that	PRON
aps-108	34	29	may	may	AUX
aps-108	34	30	be	be	AUX
aps-108	34	31	considered	consider	VERB
aps-108	34	32	preventable	preventable	ADJ
aps-108	34	33	.	.	PUNCT
aps-108	35	1	the	the	DET
aps-108	35	2	abs	ab	NOUN
aps-108	35	3	also	also	ADV
aps-108	35	4	introduced	introduce	VERB
aps-108	35	5	reports	report	NOUN
aps-108	35	6	specifically	specifically	ADV
aps-108	35	7	on	on	ADP
aps-108	35	8	covid	covid	PROPN
aps-108	35	9	mortality	mortality	NOUN
aps-108	35	10	in	in	ADP
aps-108	35	11	australia	australia	PROPN
aps-108	35	12	,	,	PUNCT
aps-108	35	13	which	which	PRON
aps-108	35	14	provide	provide	VERB
aps-108	35	15	provisional	provisional	ADJ
aps-108	35	16	detail	detail	NOUN
aps-108	35	17	about	about	ADP
aps-108	35	18	covid	covid	PROPN
aps-108	35	19	mortality	mortality	NOUN
aps-108	35	20	and	and	CCONJ
aps-108	35	21	how	how	SCONJ
aps-108	35	22	it	it	PRON
aps-108	35	23	has	have	AUX
aps-108	35	24	been	be	AUX
aps-108	35	25	distributed	distribute	VERB
aps-108	35	26	across	across	ADP
aps-108	35	27	australian	australian	ADJ
aps-108	35	28	population	population	NOUN
aps-108	35	29	groups	group	NOUN
aps-108	35	30	.	.	PUNCT
aps-108	36	1	3	3	X
aps-108	36	2	.	.	X
aps-108	36	3	covid	covid	PROPN
aps-108	36	4	mortality	mortality	PROPN
aps-108	36	5	the	the	DET
aps-108	36	6	abs	ab	NOUN
aps-108	36	7	covid-19	covid-19	PROPN
aps-108	36	8	mortality	mortality	NOUN
aps-108	36	9	in	in	ADP
aps-108	36	10	australia	australia	PROPN
aps-108	36	11	publication	publication	NOUN
aps-108	36	12	gives	give	VERB
aps-108	36	13	us	we	PRON
aps-108	36	14	an	an	DET
aps-108	36	15	insight	insight	NOUN
aps-108	36	16	into	into	ADP
aps-108	36	17	what	what	PRON
aps-108	36	18	happened	happen	VERB
aps-108	36	19	in	in	ADP
aps-108	36	20	the	the	DET
aps-108	36	21	first	first	ADJ
aps-108	36	22	2	2	NUM
aps-108	36	23	years	year	NOUN
aps-108	36	24	of	of	ADP
aps-108	36	25	the	the	DET
aps-108	36	26	pandemic	pandemic	ADJ
aps-108	36	27	(	(	PUNCT
aps-108	36	28	abs	ab	NOUN
aps-108	36	29	2022a	2022a	NOUN
aps-108	36	30	,	,	PUNCT
aps-108	36	31	2022b	2022b	NUM
aps-108	36	32	,	,	PUNCT
aps-108	36	33	2022c	2022c	NUM
aps-108	36	34	)	)	PUNCT
aps-108	36	35	(	(	PUNCT
aps-108	36	36	figure	figure	NOUN
aps-108	36	37	1	1	NUM
aps-108	36	38	)	)	PUNCT
aps-108	36	39	.	.	PUNCT
aps-108	37	1	in	in	ADP
aps-108	37	2	2020	2020	NUM
aps-108	37	3	there	there	PRON
aps-108	37	4	were	be	VERB
aps-108	37	5	906	906	NUM
aps-108	37	6	deaths	death	NOUN
aps-108	37	7	due	due	ADJ
aps-108	37	8	to	to	ADP
aps-108	37	9	covid	covid	VERB
aps-108	37	10	,	,	PUNCT
aps-108	37	11	most	most	ADJ
aps-108	37	12	of	of	ADP
aps-108	37	13	which	which	PRON
aps-108	37	14	occurred	occur	VERB
aps-108	37	15	in	in	ADP
aps-108	37	16	victoria	victoria	PROPN
aps-108	37	17	during	during	ADP
aps-108	37	18	the	the	DET
aps-108	37	19	first	first	ADJ
aps-108	37	20	2	2	NUM
aps-108	37	21	waves	wave	NOUN
aps-108	37	22	of	of	ADP
aps-108	37	23	the	the	DET
aps-108	37	24	pandemic	pandemic	NOUN
aps-108	37	25	.	.	PUNCT
aps-108	38	1	in	in	ADP
aps-108	38	2	2021	2021	NUM
aps-108	38	3	there	there	PRON
aps-108	38	4	were	be	VERB
aps-108	38	5	1,345	1,345	NUM
aps-108	38	6	covid	covid	NOUN
aps-108	38	7	deaths	death	NOUN
aps-108	38	8	,	,	PUNCT
aps-108	38	9	with	with	ADP
aps-108	38	10	the	the	DET
aps-108	38	11	majority	majority	NOUN
aps-108	38	12	occurring	occur	VERB
aps-108	38	13	in	in	ADP
aps-108	38	14	new	new	ADJ
aps-108	38	15	south	south	PROPN
aps-108	38	16	wales	wales	PROPN
aps-108	38	17	and	and	CCONJ
aps-108	38	18	victoria	victoria	PROPN
aps-108	38	19	during	during	ADP
aps-108	38	20	the	the	DET
aps-108	38	21	delta	delta	NOUN
aps-108	38	22	wave	wave	NOUN
aps-108	38	23	.	.	PUNCT
aps-108	39	1	as	as	SCONJ
aps-108	39	2	you	you	PRON
aps-108	39	3	can	can	AUX
aps-108	39	4	see	see	VERB
aps-108	39	5	from	from	ADP
aps-108	39	6	figure	figure	NOUN
aps-108	39	7	2	2	NUM
aps-108	39	8	,	,	PUNCT
aps-108	39	9	covid	covid	PROPN
aps-108	39	10	mortality	mortality	NOUN
aps-108	39	11	remained	remain	VERB
aps-108	39	12	very	very	ADV
aps-108	39	13	low	low	ADJ
aps-108	39	14	in	in	ADP
aps-108	39	15	australia	australia	NOUN
aps-108	39	16	compared	compare	VERB
aps-108	39	17	to	to	ADP
aps-108	39	18	other	other	ADJ
aps-108	39	19	countries	country	NOUN
aps-108	39	20	(	(	PUNCT
aps-108	39	21	johns	johns	PROPN
aps-108	39	22	hopkins	hopkins	PROPN
aps-108	39	23	2022	2022	NUM
aps-108	39	24	)	)	PUNCT
aps-108	39	25	.	.	PUNCT
aps-108	40	1	australian	australian	ADJ
aps-108	40	2	population	population	NOUN
aps-108	40	3	studies	study	NOUN
aps-108	40	4	6	6	NUM
aps-108	40	5	(	(	PUNCT
aps-108	40	6	2	2	NUM
aps-108	40	7	)	)	PUNCT
aps-108	40	8	2022	2022	NUM
aps-108	40	9	leigh	leigh	NOUN
aps-108	40	10	35	35	NUM
aps-108	40	11	figure	figure	NOUN
aps-108	40	12	1	1	NUM
aps-108	40	13	:	:	PUNCT
aps-108	40	14	weekly	weekly	ADJ
aps-108	40	15	covid	covid	NOUN
aps-108	40	16	deaths	death	NOUN
aps-108	40	17	in	in	ADP
aps-108	40	18	australia	australia	PROPN
aps-108	40	19	,	,	PUNCT
aps-108	40	20	august	august	PROPN
aps-108	40	21	2021	2021	NUM
aps-108	40	22	-	-	PUNCT
aps-108	40	23	july	july	PROPN
aps-108	40	24	2022	2022	NUM
aps-108	40	25	source	source	NOUN
aps-108	40	26	:	:	PUNCT
aps-108	40	27	australian	australian	ADJ
aps-108	40	28	bureau	bureau	NOUN
aps-108	40	29	of	of	ADP
aps-108	40	30	statistics	statistics	PROPN
aps-108	40	31	figure	figure	NOUN
aps-108	40	32	2	2	NUM
aps-108	40	33	:	:	PUNCT
aps-108	40	34	covid	covid	PROPN
aps-108	40	35	mortality	mortality	PROPN
aps-108	40	36	:	:	PUNCT
aps-108	40	37	international	international	ADJ
aps-108	40	38	comparison	comparison	NOUN
aps-108	40	39	,	,	PUNCT
aps-108	40	40	february	february	PROPN
aps-108	40	41	2020	2020	NUM
aps-108	40	42	-	-	PUNCT
aps-108	40	43	november	november	PROPN
aps-108	40	44	2022	2022	NUM
aps-108	40	45	source	source	NOUN
aps-108	40	46	:	:	PUNCT
aps-108	40	47	johns	johns	PROPN
aps-108	40	48	hopkins	hopkins	PROPN
aps-108	40	49	university	university	PROPN
aps-108	40	50	note	note	NOUN
aps-108	40	51	:	:	PUNCT
aps-108	40	52	daily	daily	ADJ
aps-108	40	53	new	new	ADJ
aps-108	40	54	covid	covid	PROPN
aps-108	40	55	deaths	death	NOUN
aps-108	40	56	per	per	ADP
aps-108	40	57	million	million	NUM
aps-108	40	58	people	people	NOUN
aps-108	40	59	,	,	PUNCT
aps-108	40	60	7	7	NUM
aps-108	40	61	day	day	NOUN
aps-108	40	62	rolling	roll	VERB
aps-108	40	63	average	average	ADJ
aps-108	40	64	36	36	NUM
aps-108	40	65	leigh	leigh	ADJ
aps-108	40	66	australian	australian	ADJ
aps-108	40	67	population	population	NOUN
aps-108	40	68	studies	study	NOUN
aps-108	40	69	6	6	NUM
aps-108	40	70	(	(	PUNCT
aps-108	40	71	2	2	NUM
aps-108	40	72	)	)	PUNCT
aps-108	40	73	2022	2022	NUM
aps-108	40	74	on	on	ADP
aps-108	40	75	a	a	DET
aps-108	40	76	technical	technical	ADJ
aps-108	40	77	note	note	NOUN
aps-108	40	78	,	,	PUNCT
aps-108	40	79	i	i	PRON
aps-108	40	80	should	should	AUX
aps-108	40	81	say	say	VERB
aps-108	40	82	that	that	SCONJ
aps-108	40	83	these	these	DET
aps-108	40	84	data	datum	NOUN
aps-108	40	85	from	from	ADP
aps-108	40	86	johns	johns	PROPN
aps-108	40	87	hopkins	hopkins	PROPN
aps-108	40	88	university	university	PROPN
aps-108	40	89	are	be	AUX
aps-108	40	90	measured	measure	VERB
aps-108	40	91	on	on	ADP
aps-108	40	92	a	a	DET
aps-108	40	93	different	different	ADJ
aps-108	40	94	basis	basis	NOUN
aps-108	40	95	to	to	ADP
aps-108	40	96	official	official	ADJ
aps-108	40	97	abs	ab	NOUN
aps-108	40	98	statistics	statistic	NOUN
aps-108	40	99	,	,	PUNCT
aps-108	40	100	as	as	ADV
aps-108	40	101	well	well	ADV
aps-108	40	102	as	as	ADP
aps-108	40	103	being	be	AUX
aps-108	40	104	different	different	ADJ
aps-108	40	105	across	across	ADP
aps-108	40	106	countries	country	NOUN
aps-108	40	107	.	.	PUNCT
aps-108	41	1	the	the	DET
aps-108	41	2	united	united	PROPN
aps-108	41	3	kingdom	kingdom	PROPN
aps-108	41	4	and	and	CCONJ
aps-108	41	5	united	united	PROPN
aps-108	41	6	states	states	PROPN
aps-108	41	7	suffered	suffer	VERB
aps-108	41	8	significant	significant	ADJ
aps-108	41	9	losses	loss	NOUN
aps-108	41	10	of	of	ADP
aps-108	41	11	life	life	NOUN
aps-108	41	12	.	.	PUNCT
aps-108	42	1	using	use	VERB
aps-108	42	2	this	this	DET
aps-108	42	3	johns	johns	PROPN
aps-108	42	4	hopkins	hopkins	PROPN
aps-108	42	5	data	data	PROPN
aps-108	42	6	,	,	PUNCT
aps-108	42	7	across	across	ADP
aps-108	42	8	2020	2020	NUM
aps-108	42	9	and	and	CCONJ
aps-108	42	10	2021	2021	NUM
aps-108	42	11	combined	combine	VERB
aps-108	42	12	,	,	PUNCT
aps-108	42	13	australia	australia	PROPN
aps-108	42	14	suffered	suffer	VERB
aps-108	42	15	86	86	NUM
aps-108	42	16	deaths	death	NOUN
aps-108	42	17	per	per	ADP
aps-108	42	18	million	million	NUM
aps-108	42	19	people	people	NOUN
aps-108	42	20	.	.	PUNCT
aps-108	43	1	in	in	ADP
aps-108	43	2	the	the	DET
aps-108	43	3	uk	uk	PROPN
aps-108	43	4	and	and	CCONJ
aps-108	43	5	us	we	PRON
aps-108	43	6	there	there	PRON
aps-108	43	7	were	be	VERB
aps-108	43	8	around	around	ADV
aps-108	43	9	2,500	2,500	NUM
aps-108	43	10	deaths	death	NOUN
aps-108	43	11	per	per	ADP
aps-108	43	12	million	million	NUM
aps-108	43	13	people	people	NOUN
aps-108	43	14	,	,	PUNCT
aps-108	43	15	around	around	ADV
aps-108	43	16	30	30	NUM
aps-108	43	17	times	time	NOUN
aps-108	43	18	as	as	ADV
aps-108	43	19	high	high	ADJ
aps-108	43	20	as	as	SCONJ
aps-108	43	21	experienced	experienced	ADJ
aps-108	43	22	in	in	ADP
aps-108	43	23	australia	australia	PROPN
aps-108	43	24	.	.	PUNCT
aps-108	44	1	estimates	estimate	NOUN
aps-108	44	2	of	of	ADP
aps-108	44	3	global	global	ADJ
aps-108	44	4	excess	excess	ADJ
aps-108	44	5	deaths	death	NOUN
aps-108	44	6	tell	tell	VERB
aps-108	44	7	a	a	DET
aps-108	44	8	grimmer	grimmer	ADJ
aps-108	44	9	story	story	NOUN
aps-108	44	10	.	.	PUNCT
aps-108	45	1	excess	excess	ADJ
aps-108	45	2	deaths	death	NOUN
aps-108	45	3	are	be	AUX
aps-108	45	4	the	the	DET
aps-108	45	5	number	number	NOUN
aps-108	45	6	of	of	ADP
aps-108	45	7	observed	observed	ADJ
aps-108	45	8	deaths	death	NOUN
aps-108	45	9	above	above	ADP
aps-108	45	10	or	or	CCONJ
aps-108	45	11	below	below	ADP
aps-108	45	12	the	the	DET
aps-108	45	13	number	number	NOUN
aps-108	45	14	of	of	ADP
aps-108	45	15	deaths	death	NOUN
aps-108	45	16	that	that	PRON
aps-108	45	17	would	would	AUX
aps-108	45	18	otherwise	otherwise	ADV
aps-108	45	19	have	have	AUX
aps-108	45	20	been	be	AUX
aps-108	45	21	expected	expect	VERB
aps-108	45	22	in	in	ADP
aps-108	45	23	a	a	DET
aps-108	45	24	given	give	VERB
aps-108	45	25	time	time	NOUN
aps-108	45	26	period	period	NOUN
aps-108	45	27	.	.	PUNCT
aps-108	46	1	during	during	ADP
aps-108	46	2	2020	2020	NUM
aps-108	46	3	and	and	CCONJ
aps-108	46	4	2021	2021	NUM
aps-108	46	5	,	,	PUNCT
aps-108	46	6	excess	excess	ADJ
aps-108	46	7	deaths	death	NOUN
aps-108	46	8	have	have	AUX
aps-108	46	9	been	be	AUX
aps-108	46	10	estimated	estimate	VERB
aps-108	46	11	at	at	ADP
aps-108	46	12	a	a	DET
aps-108	46	13	staggering	staggering	ADJ
aps-108	46	14	15	15	NUM
aps-108	46	15	million	million	NUM
aps-108	46	16	worldwide	worldwide	ADV
aps-108	46	17	(	(	PUNCT
aps-108	46	18	who	who	PRON
aps-108	46	19	2021	2021	NUM
aps-108	46	20	)	)	PUNCT
aps-108	46	21	.	.	PUNCT
aps-108	47	1	the	the	DET
aps-108	47	2	largest	large	ADJ
aps-108	47	3	proportion	proportion	NOUN
aps-108	47	4	of	of	ADP
aps-108	47	5	excess	excess	ADJ
aps-108	47	6	deaths	death	NOUN
aps-108	47	7	is	be	AUX
aps-108	47	8	estimated	estimate	VERB
aps-108	47	9	to	to	PART
aps-108	47	10	have	have	AUX
aps-108	47	11	occurred	occur	VERB
aps-108	47	12	in	in	ADP
aps-108	47	13	lower	lower	ADV
aps-108	47	14	-	-	PUNCT
aps-108	47	15	middle	middle	ADJ
aps-108	47	16	income	income	NOUN
aps-108	47	17	countries	country	NOUN
aps-108	47	18	,	,	PUNCT
aps-108	47	19	such	such	ADJ
aps-108	47	20	as	as	ADP
aps-108	47	21	india	india	PROPN
aps-108	47	22	,	,	PUNCT
aps-108	47	23	egypt	egypt	PROPN
aps-108	47	24	and	and	CCONJ
aps-108	47	25	indonesia	indonesia	PROPN
aps-108	47	26	.	.	PUNCT
aps-108	48	1	even	even	ADV
aps-108	48	2	this	this	PRON
aps-108	48	3	is	be	AUX
aps-108	48	4	likely	likely	ADJ
aps-108	48	5	to	to	PART
aps-108	48	6	be	be	AUX
aps-108	48	7	a	a	DET
aps-108	48	8	significant	significant	ADJ
aps-108	48	9	underestimate	underestimate	NOUN
aps-108	48	10	,	,	PUNCT
aps-108	48	11	with	with	ADP
aps-108	48	12	data	datum	NOUN
aps-108	48	13	on	on	ADP
aps-108	48	14	deaths	death	NOUN
aps-108	48	15	in	in	ADP
aps-108	48	16	41	41	NUM
aps-108	48	17	of	of	ADP
aps-108	48	18	54	54	NUM
aps-108	48	19	countries	country	NOUN
aps-108	48	20	in	in	ADP
aps-108	48	21	africa	africa	PROPN
aps-108	48	22	not	not	PART
aps-108	48	23	sufficiently	sufficiently	ADV
aps-108	48	24	reliable	reliable	ADJ
aps-108	48	25	to	to	PART
aps-108	48	26	prepare	prepare	VERB
aps-108	48	27	estimates	estimate	NOUN
aps-108	48	28	.	.	PUNCT
aps-108	49	1	remarkably	remarkably	ADV
aps-108	49	2	,	,	PUNCT
aps-108	49	3	australia	australia	PROPN
aps-108	49	4	went	go	VERB
aps-108	49	5	in	in	ADP
aps-108	49	6	the	the	DET
aps-108	49	7	opposite	opposite	ADJ
aps-108	49	8	direction	direction	NOUN
aps-108	49	9	.	.	PUNCT
aps-108	50	1	as	as	SCONJ
aps-108	50	2	philip	philip	PROPN
aps-108	50	3	clarke	clarke	PROPN
aps-108	50	4	and	and	CCONJ
aps-108	50	5	i	i	PRON
aps-108	50	6	documented	document	VERB
aps-108	50	7	in	in	ADP
aps-108	50	8	a	a	DET
aps-108	50	9	recent	recent	ADJ
aps-108	50	10	paper	paper	NOUN
aps-108	50	11	published	publish	VERB
aps-108	50	12	in	in	ADP
aps-108	50	13	bmj	bmj	PROPN
aps-108	50	14	global	global	ADJ
aps-108	50	15	health	health	NOUN
aps-108	50	16	,	,	PUNCT
aps-108	50	17	the	the	DET
aps-108	50	18	mortality	mortality	NOUN
aps-108	50	19	rate	rate	NOUN
aps-108	50	20	in	in	ADP
aps-108	50	21	australia	australia	PROPN
aps-108	50	22	was	be	AUX
aps-108	50	23	5.9	5.9	NUM
aps-108	50	24	per	per	ADP
aps-108	50	25	cent	cent	NOUN
aps-108	50	26	lower	low	ADJ
aps-108	50	27	in	in	ADP
aps-108	50	28	20202021	20202021	NUM
aps-108	50	29	than	than	ADP
aps-108	50	30	in	in	ADP
aps-108	50	31	2015	2015	NUM
aps-108	50	32	-	-	SYM
aps-108	50	33	2019	2019	NUM
aps-108	50	34	(	(	PUNCT
aps-108	50	35	clarke	clarke	PROPN
aps-108	50	36	and	and	CCONJ
aps-108	50	37	leigh	leigh	PROPN
aps-108	50	38	2022	2022	NUM
aps-108	50	39	)	)	PUNCT
aps-108	50	40	.	.	PUNCT
aps-108	51	1	contrary	contrary	ADJ
aps-108	51	2	to	to	ADP
aps-108	51	3	the	the	DET
aps-108	51	4	claims	claim	NOUN
aps-108	51	5	of	of	ADP
aps-108	51	6	those	those	PRON
aps-108	51	7	who	who	PRON
aps-108	51	8	suggested	suggest	VERB
aps-108	51	9	that	that	SCONJ
aps-108	51	10	lockdowns	lockdown	NOUN
aps-108	51	11	would	would	AUX
aps-108	51	12	increase	increase	VERB
aps-108	51	13	the	the	DET
aps-108	51	14	death	death	NOUN
aps-108	51	15	rate	rate	NOUN
aps-108	51	16	,	,	PUNCT
aps-108	51	17	we	we	PRON
aps-108	51	18	find	find	VERB
aps-108	51	19	that	that	SCONJ
aps-108	51	20	lockdowns	lockdown	NOUN
aps-108	51	21	and	and	CCONJ
aps-108	51	22	social	social	ADJ
aps-108	51	23	distancing	distancing	NOUN
aps-108	51	24	reduced	reduce	VERB
aps-108	51	25	short	short	ADJ
aps-108	51	26	-	-	PUNCT
aps-108	51	27	term	term	NOUN
aps-108	51	28	mortality	mortality	NOUN
aps-108	51	29	.	.	PUNCT
aps-108	52	1	as	as	SCONJ
aps-108	52	2	you	you	PRON
aps-108	52	3	might	might	AUX
aps-108	52	4	expect	expect	VERB
aps-108	52	5	,	,	PUNCT
aps-108	52	6	we	we	PRON
aps-108	52	7	observe	observe	VERB
aps-108	52	8	a	a	DET
aps-108	52	9	reduction	reduction	NOUN
aps-108	52	10	in	in	ADP
aps-108	52	11	mortality	mortality	NOUN
aps-108	52	12	from	from	ADP
aps-108	52	13	infectious	infectious	ADJ
aps-108	52	14	diseases	disease	NOUN
aps-108	52	15	.	.	PUNCT
aps-108	53	1	for	for	ADP
aps-108	53	2	example	example	NOUN
aps-108	53	3	,	,	PUNCT
aps-108	53	4	influenza	influenza	NOUN
aps-108	53	5	typically	typically	ADV
aps-108	53	6	claims	claim	VERB
aps-108	53	7	around	around	ADP
aps-108	53	8	600	600	NUM
aps-108	53	9	australian	australian	ADJ
aps-108	53	10	lives	life	NOUN
aps-108	53	11	per	per	ADP
aps-108	53	12	year	year	NOUN
aps-108	53	13	–	–	PUNCT
aps-108	53	14	yet	yet	CCONJ
aps-108	53	15	in	in	ADP
aps-108	53	16	2021	2021	NUM
aps-108	53	17	it	it	PRON
aps-108	53	18	claimed	claim	VERB
aps-108	53	19	fewer	few	ADJ
aps-108	53	20	than	than	ADP
aps-108	53	21	5	5	NUM
aps-108	53	22	lives	life	NOUN
aps-108	53	23	.	.	PUNCT
aps-108	54	1	however	however	ADV
aps-108	54	2	,	,	PUNCT
aps-108	54	3	we	we	PRON
aps-108	54	4	also	also	ADV
aps-108	54	5	see	see	VERB
aps-108	54	6	a	a	DET
aps-108	54	7	reduction	reduction	NOUN
aps-108	54	8	in	in	ADP
aps-108	54	9	mortality	mortality	NOUN
aps-108	54	10	due	due	ADP
aps-108	54	11	to	to	ADP
aps-108	54	12	non	non	PRON
aps-108	54	13	infectious	infectious	ADJ
aps-108	54	14	causes	cause	NOUN
aps-108	54	15	of	of	ADP
aps-108	54	16	death	death	NOUN
aps-108	54	17	,	,	PUNCT
aps-108	54	18	including	include	VERB
aps-108	54	19	cancer	cancer	NOUN
aps-108	54	20	and	and	CCONJ
aps-108	54	21	heart	heart	NOUN
aps-108	54	22	attacks	attack	NOUN
aps-108	54	23	.	.	PUNCT
aps-108	55	1	we	we	PRON
aps-108	55	2	speculate	speculate	VERB
aps-108	55	3	that	that	SCONJ
aps-108	55	4	this	this	PRON
aps-108	55	5	may	may	AUX
aps-108	55	6	be	be	AUX
aps-108	55	7	because	because	SCONJ
aps-108	55	8	infectious	infectious	ADJ
aps-108	55	9	diseases	disease	NOUN
aps-108	55	10	predispose	predispose	VERB
aps-108	55	11	people	people	NOUN
aps-108	55	12	to	to	ADP
aps-108	55	13	other	other	ADJ
aps-108	55	14	causes	cause	NOUN
aps-108	55	15	of	of	ADP
aps-108	55	16	death	death	NOUN
aps-108	55	17	,	,	PUNCT
aps-108	55	18	but	but	CCONJ
aps-108	55	19	it	it	PRON
aps-108	55	20	is	be	AUX
aps-108	55	21	also	also	ADV
aps-108	55	22	possible	possible	ADJ
aps-108	55	23	that	that	SCONJ
aps-108	55	24	working	work	VERB
aps-108	55	25	from	from	ADP
aps-108	55	26	home	home	NOUN
aps-108	55	27	had	have	VERB
aps-108	55	28	a	a	DET
aps-108	55	29	positive	positive	ADJ
aps-108	55	30	health	health	NOUN
aps-108	55	31	effect	effect	NOUN
aps-108	55	32	.	.	PUNCT
aps-108	56	1	our	our	PRON
aps-108	56	2	research	research	NOUN
aps-108	56	3	contributes	contribute	VERB
aps-108	56	4	to	to	ADP
aps-108	56	5	the	the	DET
aps-108	56	6	global	global	ADJ
aps-108	56	7	discussion	discussion	NOUN
aps-108	56	8	around	around	ADP
aps-108	56	9	the	the	DET
aps-108	56	10	short	short	ADJ
aps-108	56	11	-	-	PUNCT
aps-108	56	12	term	term	NOUN
aps-108	56	13	health	health	NOUN
aps-108	56	14	effects	effect	NOUN
aps-108	56	15	of	of	ADP
aps-108	56	16	lockdowns	lockdown	NOUN
aps-108	56	17	.	.	PUNCT
aps-108	57	1	it	it	PRON
aps-108	57	2	would	would	AUX
aps-108	57	3	not	not	PART
aps-108	57	4	have	have	AUX
aps-108	57	5	been	be	AUX
aps-108	57	6	possible	possible	ADJ
aps-108	57	7	without	without	ADP
aps-108	57	8	the	the	DET
aps-108	57	9	abs	ab	NOUN
aps-108	57	10	’s	’s	PART
aps-108	57	11	publication	publication	NOUN
aps-108	57	12	of	of	ADP
aps-108	57	13	preliminary	preliminary	ADJ
aps-108	57	14	mortality	mortality	NOUN
aps-108	57	15	statistics	statistic	NOUN
aps-108	57	16	.	.	PUNCT
aps-108	58	1	in	in	ADP
aps-108	58	2	2022	2022	NUM
aps-108	58	3	,	,	PUNCT
aps-108	58	4	covid	covid	ADJ
aps-108	58	5	infection	infection	NOUN
aps-108	58	6	rates	rate	NOUN
aps-108	58	7	and	and	CCONJ
aps-108	58	8	mortality	mortality	NOUN
aps-108	58	9	in	in	ADP
aps-108	58	10	australia	australia	PROPN
aps-108	58	11	climbed	climb	VERB
aps-108	58	12	considerably	considerably	ADV
aps-108	58	13	.	.	PUNCT
aps-108	59	1	in	in	ADP
aps-108	59	2	the	the	DET
aps-108	59	3	first	first	ADJ
aps-108	59	4	9	9	NUM
aps-108	59	5	months	month	NOUN
aps-108	59	6	of	of	ADP
aps-108	59	7	2022	2022	NUM
aps-108	59	8	,	,	PUNCT
aps-108	59	9	covid	covid	PROPN
aps-108	59	10	accounted	account	VERB
aps-108	59	11	for	for	ADP
aps-108	59	12	8,028	8,028	NUM
aps-108	59	13	doctor	doctor	NOUN
aps-108	59	14	certified	certify	VERB
aps-108	59	15	deaths	death	NOUN
aps-108	59	16	.	.	PUNCT
aps-108	60	1	•	•	NOUN
aps-108	60	2	across	across	ADP
aps-108	60	3	all	all	DET
aps-108	60	4	waves	wave	NOUN
aps-108	60	5	of	of	ADP
aps-108	60	6	the	the	DET
aps-108	60	7	pandemic	pandemic	ADJ
aps-108	60	8	,	,	PUNCT
aps-108	60	9	deaths	death	NOUN
aps-108	60	10	from	from	ADP
aps-108	60	11	covid	covid	PROPN
aps-108	60	12	were	be	AUX
aps-108	60	13	highest	high	ADJ
aps-108	60	14	among	among	ADP
aps-108	60	15	those	those	DET
aps-108	60	16	aged	age	VERB
aps-108	60	17	80	80	NUM
aps-108	60	18	89	89	NUM
aps-108	60	19	years	year	NOUN
aps-108	60	20	.	.	PUNCT
aps-108	61	1	•	•	NUM
aps-108	61	2	the	the	DET
aps-108	61	3	median	median	ADJ
aps-108	61	4	age	age	NOUN
aps-108	61	5	of	of	ADP
aps-108	61	6	those	those	PRON
aps-108	61	7	who	who	PRON
aps-108	61	8	died	die	VERB
aps-108	61	9	from	from	ADP
aps-108	61	10	covid	covid	PROPN
aps-108	61	11	was	be	AUX
aps-108	61	12	87.4	87.4	NUM
aps-108	61	13	years	year	NOUN
aps-108	61	14	for	for	ADP
aps-108	61	15	females	female	NOUN
aps-108	61	16	and	and	CCONJ
aps-108	61	17	83.6	83.6	NUM
aps-108	61	18	years	year	NOUN
aps-108	61	19	for	for	ADP
aps-108	61	20	males	male	NOUN
aps-108	61	21	.	.	PUNCT
aps-108	62	1	•	•	NUM
aps-108	62	2	males	male	NOUN
aps-108	62	3	had	have	VERB
aps-108	62	4	a	a	DET
aps-108	62	5	higher	high	ADJ
aps-108	62	6	number	number	NOUN
aps-108	62	7	of	of	ADP
aps-108	62	8	registered	register	VERB
aps-108	62	9	covid	covid	NOUN
aps-108	62	10	deaths	death	NOUN
aps-108	62	11	than	than	ADP
aps-108	62	12	females	female	NOUN
aps-108	62	13	.	.	PUNCT
aps-108	63	1	for	for	ADP
aps-108	63	2	every	every	DET
aps-108	63	3	100	100	NUM
aps-108	63	4	female	female	ADJ
aps-108	63	5	covid	covid	NOUN
aps-108	63	6	deaths	death	NOUN
aps-108	63	7	,	,	PUNCT
aps-108	63	8	there	there	PRON
aps-108	63	9	were	be	VERB
aps-108	63	10	126	126	NUM
aps-108	63	11	male	male	NOUN
aps-108	63	12	covid	covid	NOUN
aps-108	63	13	deaths	death	NOUN
aps-108	63	14	.	.	PUNCT
aps-108	64	1	•	•	NOUN
aps-108	64	2	around	around	ADP
aps-108	64	3	3	3	NUM
aps-108	64	4	-	-	PUNCT
aps-108	64	5	quarters	quarter	NOUN
aps-108	64	6	of	of	ADP
aps-108	64	7	all	all	DET
aps-108	64	8	covid	covid	PROPN
aps-108	64	9	deaths	death	NOUN
aps-108	64	10	occurred	occur	VERB
aps-108	64	11	in	in	ADP
aps-108	64	12	victoria	victoria	PROPN
aps-108	64	13	and	and	CCONJ
aps-108	64	14	new	new	ADJ
aps-108	64	15	south	south	PROPN
aps-108	64	16	wales	wales	PROPN
aps-108	64	17	.	.	PUNCT
aps-108	65	1	•	•	NUM
aps-108	65	2	deaths	death	NOUN
aps-108	65	3	due	due	ADJ
aps-108	65	4	to	to	PART
aps-108	65	5	covid	covid	PROPN
aps-108	65	6	were	be	AUX
aps-108	65	7	more	more	ADV
aps-108	65	8	prevalent	prevalent	ADJ
aps-108	65	9	in	in	ADP
aps-108	65	10	areas	area	NOUN
aps-108	65	11	with	with	ADP
aps-108	65	12	greater	great	ADJ
aps-108	65	13	socio	socio	NOUN
aps-108	65	14	-	-	PUNCT
aps-108	65	15	economic	economic	ADJ
aps-108	65	16	disadvantage	disadvantage	NOUN
aps-108	65	17	.	.	PUNCT
aps-108	66	1	in	in	ADP
aps-108	66	2	2022	2022	NUM
aps-108	66	3	,	,	PUNCT
aps-108	66	4	unlike	unlike	ADP
aps-108	66	5	2020	2020	NUM
aps-108	66	6	and	and	CCONJ
aps-108	66	7	2021	2021	NUM
aps-108	66	8	,	,	PUNCT
aps-108	66	9	australia	australia	PROPN
aps-108	66	10	had	have	VERB
aps-108	66	11	a	a	DET
aps-108	66	12	similar	similar	ADJ
aps-108	66	13	covid-19	covid-19	PROPN
aps-108	66	14	death	death	NOUN
aps-108	66	15	rate	rate	NOUN
aps-108	66	16	to	to	ADP
aps-108	66	17	other	other	ADJ
aps-108	66	18	advanced	advanced	ADJ
aps-108	66	19	countries	country	NOUN
aps-108	66	20	.	.	PUNCT
aps-108	67	1	however	however	ADV
aps-108	67	2	,	,	PUNCT
aps-108	67	3	australian	australian	ADJ
aps-108	67	4	death	death	NOUN
aps-108	67	5	rates	rate	NOUN
aps-108	67	6	remain	remain	VERB
aps-108	67	7	well	well	ADV
aps-108	67	8	below	below	ADP
aps-108	67	9	the	the	DET
aps-108	67	10	peaks	peak	NOUN
aps-108	67	11	seen	see	VERB
aps-108	67	12	in	in	ADP
aps-108	67	13	other	other	ADJ
aps-108	67	14	countries	country	NOUN
aps-108	67	15	in	in	ADP
aps-108	67	16	the	the	DET
aps-108	67	17	early	early	ADJ
aps-108	67	18	parts	part	NOUN
aps-108	67	19	of	of	ADP
aps-108	67	20	the	the	DET
aps-108	67	21	pandemic	pandemic	ADJ
aps-108	67	22	.	.	PUNCT
aps-108	68	1	australian	australian	ADJ
aps-108	68	2	population	population	NOUN
aps-108	68	3	studies	study	NOUN
aps-108	68	4	6	6	NUM
aps-108	68	5	(	(	PUNCT
aps-108	68	6	2	2	NUM
aps-108	68	7	)	)	PUNCT
aps-108	68	8	2022	2022	NUM
aps-108	68	9	leigh	leigh	NOUN
aps-108	68	10	37	37	NUM
aps-108	68	11	using	use	VERB
aps-108	68	12	johns	johns	PROPN
aps-108	68	13	hopkins	hopkins	PROPN
aps-108	68	14	data	data	PROPN
aps-108	68	15	on	on	ADP
aps-108	68	16	covid	covid	PROPN
aps-108	68	17	deaths	death	NOUN
aps-108	68	18	,	,	PUNCT
aps-108	68	19	from	from	ADP
aps-108	68	20	1	1	NUM
aps-108	68	21	january	january	NOUN
aps-108	68	22	to	to	ADP
aps-108	68	23	4	4	NUM
aps-108	68	24	november	november	PROPN
aps-108	68	25	2022	2022	NUM
aps-108	68	26	,	,	PUNCT
aps-108	68	27	there	there	PRON
aps-108	68	28	were	be	VERB
aps-108	68	29	more	more	ADJ
aps-108	68	30	than	than	ADP
aps-108	68	31	500	500	NUM
aps-108	68	32	deaths	death	NOUN
aps-108	68	33	per	per	ADP
aps-108	68	34	million	million	NUM
aps-108	68	35	australians	australian	NOUN
aps-108	68	36	.	.	PUNCT
aps-108	69	1	this	this	PRON
aps-108	69	2	was	be	AUX
aps-108	69	3	a	a	DET
aps-108	69	4	little	little	ADJ
aps-108	69	5	higher	high	ADJ
aps-108	69	6	than	than	ADP
aps-108	69	7	in	in	ADP
aps-108	69	8	canada	canada	PROPN
aps-108	69	9	and	and	CCONJ
aps-108	69	10	the	the	DET
aps-108	69	11	uk	uk	PROPN
aps-108	69	12	,	,	PUNCT
aps-108	69	13	which	which	PRON
aps-108	69	14	saw	see	VERB
aps-108	69	15	441	441	NUM
aps-108	69	16	and	and	CCONJ
aps-108	69	17	476	476	NUM
aps-108	69	18	deaths	death	NOUN
aps-108	69	19	per	per	ADP
aps-108	69	20	million	million	NUM
aps-108	69	21	people	people	NOUN
aps-108	69	22	respectively	respectively	ADV
aps-108	69	23	.	.	PUNCT
aps-108	70	1	it	it	PRON
aps-108	70	2	’s	’	VERB
aps-108	70	3	lower	low	ADJ
aps-108	70	4	than	than	ADP
aps-108	70	5	the	the	DET
aps-108	70	6	us	us	PROPN
aps-108	70	7	,	,	PUNCT
aps-108	70	8	which	which	PRON
aps-108	70	9	saw	see	VERB
aps-108	70	10	732	732	NUM
aps-108	70	11	deaths	death	NOUN
aps-108	70	12	per	per	ADP
aps-108	70	13	million	million	NUM
aps-108	70	14	people	people	NOUN
aps-108	70	15	over	over	ADP
aps-108	70	16	the	the	DET
aps-108	70	17	same	same	ADJ
aps-108	70	18	period	period	NOUN
aps-108	70	19	.	.	PUNCT
aps-108	71	1	by	by	ADP
aps-108	71	2	now	now	ADV
aps-108	71	3	,	,	PUNCT
aps-108	71	4	a	a	DET
aps-108	71	5	great	great	ADJ
aps-108	71	6	many	many	ADJ
aps-108	71	7	australians	australian	NOUN
aps-108	71	8	have	have	AUX
aps-108	71	9	been	be	AUX
aps-108	71	10	touched	touch	VERB
aps-108	71	11	by	by	ADP
aps-108	71	12	covid	covid	PROPN
aps-108	71	13	.	.	PUNCT
aps-108	72	1	there	there	PRON
aps-108	72	2	have	have	AUX
aps-108	72	3	been	be	AUX
aps-108	72	4	more	more	ADJ
aps-108	72	5	than	than	ADP
aps-108	72	6	10	10	NUM
aps-108	72	7	million	million	NUM
aps-108	72	8	confirmed	confirm	VERB
aps-108	72	9	cases	case	NOUN
aps-108	72	10	of	of	ADP
aps-108	72	11	covid	covid	NOUN
aps-108	72	12	,	,	PUNCT
aps-108	72	13	and	and	CCONJ
aps-108	72	14	because	because	SCONJ
aps-108	72	15	reporting	reporting	NOUN
aps-108	72	16	of	of	ADP
aps-108	72	17	rapid	rapid	ADJ
aps-108	72	18	antigen	antigen	NOUN
aps-108	72	19	tests	test	NOUN
aps-108	72	20	is	be	AUX
aps-108	72	21	no	no	PRON
aps-108	72	22	longer	long	ADV
aps-108	72	23	mandatory	mandatory	ADJ
aps-108	72	24	,	,	PUNCT
aps-108	72	25	it	it	PRON
aps-108	72	26	is	be	AUX
aps-108	72	27	likely	likely	ADJ
aps-108	72	28	that	that	SCONJ
aps-108	72	29	a	a	DET
aps-108	72	30	majority	majority	NOUN
aps-108	72	31	of	of	ADP
aps-108	72	32	australians	australians	PROPN
aps-108	72	33	have	have	AUX
aps-108	72	34	contracted	contract	VERB
aps-108	72	35	the	the	DET
aps-108	72	36	disease	disease	NOUN
aps-108	72	37	.	.	PUNCT
aps-108	73	1	according	accord	VERB
aps-108	73	2	to	to	ADP
aps-108	73	3	official	official	ADJ
aps-108	73	4	abs	ab	NOUN
aps-108	73	5	statistics	statistic	NOUN
aps-108	73	6	,	,	PUNCT
aps-108	73	7	there	there	PRON
aps-108	73	8	have	have	AUX
aps-108	73	9	been	be	AUX
aps-108	73	10	10,279	10,279	NUM
aps-108	73	11	deaths	death	NOUN
aps-108	73	12	from	from	ADP
aps-108	73	13	covid	covid	PROPN
aps-108	73	14	since	since	SCONJ
aps-108	73	15	the	the	DET
aps-108	73	16	start	start	NOUN
aps-108	73	17	of	of	ADP
aps-108	73	18	the	the	DET
aps-108	73	19	pandemic	pandemic	NOUN
aps-108	73	20	until	until	ADP
aps-108	73	21	30	30	NUM
aps-108	73	22	september	september	PROPN
aps-108	73	23	2022	2022	NUM
aps-108	73	24	.	.	PUNCT
aps-108	74	1	these	these	PRON
aps-108	74	2	are	be	AUX
aps-108	74	3	people	people	NOUN
aps-108	74	4	whose	whose	DET
aps-108	74	5	underlying	underlying	ADJ
aps-108	74	6	cause	cause	NOUN
aps-108	74	7	of	of	ADP
aps-108	74	8	death	death	NOUN
aps-108	74	9	was	be	AUX
aps-108	74	10	covid	covid	PROPN
aps-108	74	11	.	.	PUNCT
aps-108	75	1	a	a	DET
aps-108	75	2	few	few	ADJ
aps-108	75	3	additional	additional	ADJ
aps-108	75	4	points	point	NOUN
aps-108	75	5	on	on	ADP
aps-108	75	6	covid	covid	PROPN
aps-108	75	7	mortality	mortality	NOUN
aps-108	75	8	.	.	PUNCT
aps-108	76	1	in	in	ADP
aps-108	76	2	addition	addition	NOUN
aps-108	76	3	to	to	ADP
aps-108	76	4	deaths	death	NOUN
aps-108	76	5	from	from	ADP
aps-108	76	6	covid	covid	PROPN
aps-108	76	7	,	,	PUNCT
aps-108	76	8	the	the	DET
aps-108	76	9	abs	ab	NOUN
aps-108	76	10	also	also	ADV
aps-108	76	11	classifies	classify	VERB
aps-108	76	12	2,266	2,266	NUM
aps-108	76	13	deaths	death	NOUN
aps-108	76	14	as	as	ADP
aps-108	76	15	covid	covid	NOUN
aps-108	76	16	-	-	PUNCT
aps-108	76	17	related	relate	VERB
aps-108	76	18	.	.	PUNCT
aps-108	77	1	these	these	PRON
aps-108	77	2	are	be	AUX
aps-108	77	3	people	people	NOUN
aps-108	77	4	who	who	PRON
aps-108	77	5	died	die	VERB
aps-108	77	6	from	from	ADP
aps-108	77	7	other	other	ADJ
aps-108	77	8	causes	cause	NOUN
aps-108	77	9	(	(	PUNCT
aps-108	77	10	such	such	ADJ
aps-108	77	11	as	as	ADP
aps-108	77	12	cancer	cancer	NOUN
aps-108	77	13	)	)	PUNCT
aps-108	77	14	but	but	CCONJ
aps-108	77	15	for	for	ADP
aps-108	77	16	whom	whom	PRON
aps-108	77	17	covid	covid	PROPN
aps-108	77	18	contributed	contribute	VERB
aps-108	77	19	to	to	ADP
aps-108	77	20	their	their	PRON
aps-108	77	21	death	death	NOUN
aps-108	77	22	.	.	PUNCT
aps-108	78	1	including	include	VERB
aps-108	78	2	these	these	DET
aps-108	78	3	deaths	death	NOUN
aps-108	78	4	brings	bring	VERB
aps-108	78	5	deaths	death	NOUN
aps-108	78	6	from	from	ADP
aps-108	78	7	or	or	CCONJ
aps-108	78	8	with	with	ADP
aps-108	78	9	covid	covid	NOUN
aps-108	78	10	to	to	ADP
aps-108	78	11	12,545	12,545	NUM
aps-108	78	12	.	.	PUNCT
aps-108	79	1	another	another	DET
aps-108	79	2	key	key	ADJ
aps-108	79	3	data	datum	NOUN
aps-108	79	4	source	source	NOUN
aps-108	79	5	is	be	AUX
aps-108	79	6	the	the	DET
aps-108	79	7	national	national	ADJ
aps-108	79	8	notifiable	notifiable	ADJ
aps-108	79	9	diseases	disease	NOUN
aps-108	79	10	surveillance	surveillance	NOUN
aps-108	79	11	system	system	NOUN
aps-108	79	12	.	.	PUNCT
aps-108	80	1	according	accord	VERB
aps-108	80	2	to	to	ADP
aps-108	80	3	this	this	DET
aps-108	80	4	dataset	dataset	NOUN
aps-108	80	5	,	,	PUNCT
aps-108	80	6	there	there	PRON
aps-108	80	7	were	be	VERB
aps-108	80	8	14,718	14,718	NUM
aps-108	80	9	deaths	death	NOUN
aps-108	80	10	associated	associate	VERB
aps-108	80	11	with	with	ADP
aps-108	80	12	covid	covid	PROPN
aps-108	80	13	from	from	ADP
aps-108	80	14	the	the	DET
aps-108	80	15	start	start	NOUN
aps-108	80	16	of	of	ADP
aps-108	80	17	the	the	DET
aps-108	80	18	pandemic	pandemic	NOUN
aps-108	80	19	until	until	ADP
aps-108	80	20	30	30	NUM
aps-108	80	21	september	september	PROPN
aps-108	80	22	2022	2022	NUM
aps-108	80	23	.	.	PUNCT
aps-108	81	1	statistics	statistic	NOUN
aps-108	81	2	derived	derive	VERB
aps-108	81	3	from	from	ADP
aps-108	81	4	surveillance	surveillance	NOUN
aps-108	81	5	systems	system	NOUN
aps-108	81	6	are	be	AUX
aps-108	81	7	not	not	PART
aps-108	81	8	directly	directly	ADV
aps-108	81	9	comparable	comparable	ADJ
aps-108	81	10	with	with	ADP
aps-108	81	11	figures	figure	NOUN
aps-108	81	12	from	from	ADP
aps-108	81	13	the	the	DET
aps-108	81	14	abs	ab	NOUN
aps-108	81	15	.	.	PUNCT
aps-108	82	1	4	4	X
aps-108	82	2	.	.	X
aps-108	82	3	inequality	inequality	NOUN
aps-108	82	4	in	in	ADP
aps-108	82	5	covid	covid	PROPN
aps-108	82	6	mortality	mortality	NOUN
aps-108	82	7	in	in	ADP
aps-108	82	8	australia	australia	PROPN
aps-108	82	9	one	one	NUM
aps-108	82	10	of	of	ADP
aps-108	82	11	the	the	DET
aps-108	82	12	harshest	harsh	ADJ
aps-108	82	13	impacts	impact	NOUN
aps-108	82	14	of	of	ADP
aps-108	82	15	economic	economic	ADJ
aps-108	82	16	inequality	inequality	NOUN
aps-108	82	17	is	be	AUX
aps-108	82	18	the	the	DET
aps-108	82	19	differences	difference	NOUN
aps-108	82	20	in	in	ADP
aps-108	82	21	health	health	NOUN
aps-108	82	22	outcomes	outcome	NOUN
aps-108	82	23	across	across	ADP
aps-108	82	24	socio	socio	NOUN
aps-108	82	25	-	-	PUNCT
aps-108	82	26	economic	economic	ADJ
aps-108	82	27	groups	group	NOUN
aps-108	82	28	.	.	PUNCT
aps-108	83	1	in	in	ADP
aps-108	83	2	terms	term	NOUN
aps-108	83	3	of	of	ADP
aps-108	83	4	life	life	NOUN
aps-108	83	5	expectancy	expectancy	NOUN
aps-108	83	6	,	,	PUNCT
aps-108	83	7	we	we	PRON
aps-108	83	8	know	know	VERB
aps-108	83	9	that	that	SCONJ
aps-108	83	10	those	those	PRON
aps-108	83	11	in	in	ADP
aps-108	83	12	the	the	DET
aps-108	83	13	highest	high	ADJ
aps-108	83	14	income	income	NOUN
aps-108	83	15	quintile	quintile	NOUN
aps-108	83	16	live	live	VERB
aps-108	83	17	six	six	NUM
aps-108	83	18	years	year	NOUN
aps-108	83	19	longer	long	ADV
aps-108	83	20	than	than	ADP
aps-108	83	21	those	those	PRON
aps-108	83	22	in	in	ADP
aps-108	83	23	the	the	DET
aps-108	83	24	lowest	low	ADJ
aps-108	83	25	income	income	NOUN
aps-108	83	26	quintile	quintile	NOUN
aps-108	83	27	(	(	PUNCT
aps-108	83	28	clarke	clarke	PROPN
aps-108	83	29	and	and	CCONJ
aps-108	83	30	leigh	leigh	PROPN
aps-108	83	31	2011	2011	NUM
aps-108	83	32	)	)	PUNCT
aps-108	83	33	.	.	PUNCT
aps-108	84	1	health	health	NOUN
aps-108	84	2	gaps	gap	NOUN
aps-108	84	3	show	show	VERB
aps-108	84	4	up	up	ADP
aps-108	84	5	in	in	ADP
aps-108	84	6	other	other	ADJ
aps-108	84	7	areas	area	NOUN
aps-108	84	8	too	too	ADV
aps-108	84	9	.	.	PUNCT
aps-108	85	1	the	the	DET
aps-108	85	2	2017	2017	NUM
aps-108	85	3	-	-	SYM
aps-108	85	4	18	18	NUM
aps-108	85	5	national	national	ADJ
aps-108	85	6	study	study	NOUN
aps-108	85	7	of	of	ADP
aps-108	85	8	adult	adult	NOUN
aps-108	85	9	oral	oral	ADJ
aps-108	85	10	health	health	NOUN
aps-108	85	11	allows	allow	VERB
aps-108	85	12	us	we	PRON
aps-108	85	13	to	to	PART
aps-108	85	14	compare	compare	VERB
aps-108	85	15	dental	dental	ADJ
aps-108	85	16	outcomes	outcome	NOUN
aps-108	85	17	for	for	ADP
aps-108	85	18	low	low	ADJ
aps-108	85	19	income	income	NOUN
aps-108	85	20	australians	australian	NOUN
aps-108	85	21	(	(	PUNCT
aps-108	85	22	with	with	ADP
aps-108	85	23	a	a	DET
aps-108	85	24	household	household	NOUN
aps-108	85	25	income	income	NOUN
aps-108	85	26	below	below	ADP
aps-108	85	27	$	$	SYM
aps-108	85	28	40,000	40,000	NUM
aps-108	85	29	)	)	PUNCT
aps-108	85	30	and	and	CCONJ
aps-108	85	31	high	high	ADJ
aps-108	85	32	-	-	PUNCT
aps-108	85	33	income	income	NOUN
aps-108	85	34	australians	australian	NOUN
aps-108	85	35	(	(	PUNCT
aps-108	85	36	with	with	ADP
aps-108	85	37	a	a	DET
aps-108	85	38	household	household	NOUN
aps-108	85	39	income	income	NOUN
aps-108	85	40	above	above	ADP
aps-108	85	41	$	$	SYM
aps-108	85	42	100,000	100,000	NUM
aps-108	85	43	)	)	PUNCT
aps-108	85	44	.	.	PUNCT
aps-108	86	1	in	in	ADP
aps-108	86	2	the	the	DET
aps-108	86	3	richest	rich	ADJ
aps-108	86	4	households	household	NOUN
aps-108	86	5	,	,	PUNCT
aps-108	86	6	0.5	0.5	NUM
aps-108	86	7	per	per	ADP
aps-108	86	8	cent	cent	NOUN
aps-108	86	9	of	of	ADP
aps-108	86	10	adults	adult	NOUN
aps-108	86	11	are	be	AUX
aps-108	86	12	missing	miss	VERB
aps-108	86	13	all	all	DET
aps-108	86	14	their	their	PRON
aps-108	86	15	teeth	tooth	NOUN
aps-108	86	16	.	.	PUNCT
aps-108	87	1	in	in	ADP
aps-108	87	2	the	the	DET
aps-108	87	3	poorest	poor	ADJ
aps-108	87	4	households	household	NOUN
aps-108	87	5	,	,	PUNCT
aps-108	87	6	10.3	10.3	NUM
aps-108	87	7	per	per	ADP
aps-108	87	8	cent	cent	NOUN
aps-108	87	9	of	of	ADP
aps-108	87	10	adults	adult	NOUN
aps-108	87	11	are	be	AUX
aps-108	87	12	missing	miss	VERB
aps-108	87	13	all	all	DET
aps-108	87	14	their	their	PRON
aps-108	87	15	teeth	tooth	NOUN
aps-108	87	16	(	(	PUNCT
aps-108	87	17	peres	pere	NOUN
aps-108	87	18	and	and	CCONJ
aps-108	87	19	lalloo	lalloo	NOUN
aps-108	87	20	2020	2020	NUM
aps-108	87	21	)	)	PUNCT
aps-108	87	22	.	.	PUNCT
aps-108	88	1	among	among	ADP
aps-108	88	2	dentate	dentate	ADJ
aps-108	88	3	respondents	respondent	NOUN
aps-108	88	4	,	,	PUNCT
aps-108	88	5	the	the	DET
aps-108	88	6	average	average	ADJ
aps-108	88	7	number	number	NOUN
aps-108	88	8	of	of	ADP
aps-108	88	9	missing	miss	VERB
aps-108	88	10	teeth	tooth	NOUN
aps-108	88	11	is	be	AUX
aps-108	88	12	4.4	4.4	NUM
aps-108	88	13	in	in	ADP
aps-108	88	14	richer	rich	ADJ
aps-108	88	15	households	household	NOUN
aps-108	88	16	and	and	CCONJ
aps-108	88	17	8.0	8.0	NUM
aps-108	88	18	in	in	ADP
aps-108	88	19	poorer	poor	ADJ
aps-108	88	20	households	household	NOUN
aps-108	88	21	.	.	PUNCT
aps-108	89	1	these	these	PRON
aps-108	89	2	are	be	AUX
aps-108	89	3	gaps	gap	NOUN
aps-108	89	4	that	that	PRON
aps-108	89	5	show	show	VERB
aps-108	89	6	with	with	ADP
aps-108	89	7	every	every	DET
aps-108	89	8	smile	smile	NOUN
aps-108	89	9	.	.	PUNCT
aps-108	90	1	yet	yet	ADV
aps-108	90	2	in	in	ADP
aps-108	90	3	general	general	ADJ
aps-108	90	4	,	,	PUNCT
aps-108	90	5	too	too	ADV
aps-108	90	6	little	little	ADJ
aps-108	90	7	is	be	AUX
aps-108	90	8	known	know	VERB
aps-108	90	9	about	about	ADP
aps-108	90	10	the	the	DET
aps-108	90	11	distribution	distribution	NOUN
aps-108	90	12	of	of	ADP
aps-108	90	13	health	health	NOUN
aps-108	90	14	burdens	burden	NOUN
aps-108	90	15	across	across	ADP
aps-108	90	16	the	the	DET
aps-108	90	17	population	population	NOUN
aps-108	90	18	.	.	PUNCT
aps-108	91	1	in	in	ADP
aps-108	91	2	the	the	DET
aps-108	91	3	case	case	NOUN
aps-108	91	4	of	of	ADP
aps-108	91	5	the	the	DET
aps-108	91	6	mortality	mortality	NOUN
aps-108	91	7	study	study	NOUN
aps-108	91	8	referenced	reference	VERB
aps-108	91	9	above	above	ADV
aps-108	91	10	,	,	PUNCT
aps-108	91	11	we	we	PRON
aps-108	91	12	used	use	VERB
aps-108	91	13	a	a	DET
aps-108	91	14	longitudinal	longitudinal	ADJ
aps-108	91	15	study	study	NOUN
aps-108	91	16	(	(	PUNCT
aps-108	91	17	the	the	DET
aps-108	91	18	household	household	NOUN
aps-108	91	19	income	income	NOUN
aps-108	91	20	and	and	CCONJ
aps-108	91	21	labour	labour	NOUN
aps-108	91	22	dynamics	dynamic	NOUN
aps-108	91	23	in	in	ADP
aps-108	91	24	australia	australia	PROPN
aps-108	91	25	survey	survey	NOUN
aps-108	91	26	,	,	PUNCT
aps-108	91	27	or	or	CCONJ
aps-108	91	28	hilda	hilda	NOUN
aps-108	91	29	)	)	PUNCT
aps-108	91	30	,	,	PUNCT
aps-108	91	31	and	and	CCONJ
aps-108	91	32	matched	match	VERB
aps-108	91	33	it	it	PRON
aps-108	91	34	with	with	ADP
aps-108	91	35	deaths	death	NOUN
aps-108	91	36	data	datum	NOUN
aps-108	91	37	.	.	PUNCT
aps-108	92	1	this	this	PRON
aps-108	92	2	allowed	allow	VERB
aps-108	92	3	us	we	PRON
aps-108	92	4	to	to	PART
aps-108	92	5	identify	identify	VERB
aps-108	92	6	those	those	PRON
aps-108	92	7	who	who	PRON
aps-108	92	8	had	have	AUX
aps-108	92	9	died	die	VERB
aps-108	92	10	,	,	PUNCT
aps-108	92	11	and	and	CCONJ
aps-108	92	12	study	study	VERB
aps-108	92	13	their	their	PRON
aps-108	92	14	last	last	ADJ
aps-108	92	15	reported	report	VERB
aps-108	92	16	survey	survey	NOUN
aps-108	92	17	responses	response	NOUN
aps-108	92	18	to	to	ADP
aps-108	92	19	questions	question	NOUN
aps-108	92	20	about	about	ADP
aps-108	92	21	income	income	NOUN
aps-108	92	22	.	.	PUNCT
aps-108	93	1	more	more	ADV
aps-108	93	2	typically	typically	ADV
aps-108	93	3	,	,	PUNCT
aps-108	93	4	studies	study	NOUN
aps-108	93	5	of	of	ADP
aps-108	93	6	socio	socio	NOUN
aps-108	93	7	-	-	PUNCT
aps-108	93	8	economic	economic	ADJ
aps-108	93	9	differences	difference	NOUN
aps-108	93	10	in	in	ADP
aps-108	93	11	mortality	mortality	NOUN
aps-108	93	12	do	do	AUX
aps-108	93	13	not	not	PART
aps-108	93	14	have	have	VERB
aps-108	93	15	this	this	DET
aps-108	93	16	kind	kind	NOUN
aps-108	93	17	of	of	ADP
aps-108	93	18	information	information	NOUN
aps-108	93	19	about	about	ADP
aps-108	93	20	the	the	DET
aps-108	93	21	deceased	deceased	ADJ
aps-108	93	22	.	.	PUNCT
aps-108	94	1	instead	instead	ADV
aps-108	94	2	,	,	PUNCT
aps-108	94	3	they	they	PRON
aps-108	94	4	focus	focus	VERB
aps-108	94	5	on	on	ADP
aps-108	94	6	the	the	DET
aps-108	94	7	average	average	ADJ
aps-108	94	8	income	income	NOUN
aps-108	94	9	in	in	ADP
aps-108	94	10	the	the	DET
aps-108	94	11	geographic	geographic	ADJ
aps-108	94	12	area	area	NOUN
aps-108	94	13	where	where	SCONJ
aps-108	94	14	the	the	DET
aps-108	94	15	deceased	deceased	ADJ
aps-108	94	16	last	last	ADJ
aps-108	94	17	resided	reside	VERB
aps-108	94	18	.	.	PUNCT
aps-108	95	1	this	this	PRON
aps-108	95	2	can	can	AUX
aps-108	95	3	be	be	AUX
aps-108	95	4	informative	informative	ADJ
aps-108	95	5	–	–	PUNCT
aps-108	95	6	though	though	SCONJ
aps-108	95	7	as	as	SCONJ
aps-108	95	8	our	our	PRON
aps-108	95	9	research	research	NOUN
aps-108	95	10	shows	show	NOUN
aps-108	95	11	,	,	PUNCT
aps-108	95	12	area	area	NOUN
aps-108	95	13	-	-	PUNCT
aps-108	95	14	level	level	NOUN
aps-108	95	15	metrics	metric	NOUN
aps-108	95	16	are	be	AUX
aps-108	95	17	no	no	ADV
aps-108	95	18	longer	long	ADV
aps-108	95	19	statistically	statistically	ADV
aps-108	95	20	significant	significant	ADJ
aps-108	95	21	after	after	ADP
aps-108	95	22	controlling	control	VERB
aps-108	95	23	for	for	ADP
aps-108	95	24	individual	individual	ADJ
aps-108	95	25	-	-	PUNCT
aps-108	95	26	level	level	NOUN
aps-108	95	27	metrics	metric	NOUN
aps-108	95	28	(	(	PUNCT
aps-108	95	29	clarke	clarke	NOUN
aps-108	95	30	and	and	CCONJ
aps-108	95	31	leigh	leigh	PROPN
aps-108	95	32	2011	2011	NUM
aps-108	95	33	)	)	PUNCT
aps-108	95	34	.	.	PUNCT
aps-108	96	1	38	38	NUM
aps-108	96	2	leigh	leigh	ADJ
aps-108	96	3	australian	australian	ADJ
aps-108	96	4	population	population	NOUN
aps-108	96	5	studies	study	NOUN
aps-108	96	6	6	6	NUM
aps-108	96	7	(	(	PUNCT
aps-108	96	8	2	2	NUM
aps-108	96	9	)	)	PUNCT
aps-108	96	10	2022	2022	NUM
aps-108	96	11	in	in	ADP
aps-108	96	12	the	the	DET
aps-108	96	13	case	case	NOUN
aps-108	96	14	of	of	ADP
aps-108	96	15	covid	covid	PROPN
aps-108	96	16	deaths	death	NOUN
aps-108	96	17	,	,	PUNCT
aps-108	96	18	the	the	DET
aps-108	96	19	available	available	ADJ
aps-108	96	20	data	datum	NOUN
aps-108	96	21	presently	presently	ADV
aps-108	96	22	only	only	ADV
aps-108	96	23	allows	allow	VERB
aps-108	96	24	us	we	PRON
aps-108	96	25	to	to	PART
aps-108	96	26	look	look	VERB
aps-108	96	27	at	at	ADP
aps-108	96	28	regional	regional	ADJ
aps-108	96	29	average	average	ADJ
aps-108	96	30	incomes	income	NOUN
aps-108	96	31	.	.	PUNCT
aps-108	97	1	it	it	PRON
aps-108	97	2	is	be	AUX
aps-108	97	3	useful	useful	ADJ
aps-108	97	4	to	to	PART
aps-108	97	5	explore	explore	VERB
aps-108	97	6	these	these	DET
aps-108	97	7	patterns	pattern	NOUN
aps-108	97	8	,	,	PUNCT
aps-108	97	9	but	but	CCONJ
aps-108	97	10	also	also	ADV
aps-108	97	11	worth	worth	ADJ
aps-108	97	12	bearing	bear	VERB
aps-108	97	13	in	in	ADP
aps-108	97	14	mind	mind	NOUN
aps-108	97	15	that	that	SCONJ
aps-108	97	16	the	the	DET
aps-108	97	17	true	true	ADJ
aps-108	97	18	socioeconomic	socioeconomic	ADJ
aps-108	97	19	gaps	gap	NOUN
aps-108	97	20	–	–	PUNCT
aps-108	97	21	if	if	SCONJ
aps-108	97	22	we	we	PRON
aps-108	97	23	could	could	AUX
aps-108	97	24	measure	measure	VERB
aps-108	97	25	individual	individual	ADJ
aps-108	97	26	incomes	income	NOUN
aps-108	97	27	–	–	PUNCT
aps-108	97	28	are	be	AUX
aps-108	97	29	likely	likely	ADV
aps-108	97	30	larger	large	ADJ
aps-108	97	31	still	still	ADV
aps-108	97	32	.	.	PUNCT
aps-108	98	1	table	table	NOUN
aps-108	98	2	1	1	NUM
aps-108	98	3	shows	show	VERB
aps-108	98	4	covid	covid	VERB
aps-108	98	5	deaths	death	NOUN
aps-108	98	6	by	by	ADP
aps-108	98	7	seifa	seifa	PROPN
aps-108	98	8	quintile	quintile	NOUN
aps-108	98	9	.	.	PUNCT
aps-108	99	1	socio	socio	NOUN
aps-108	99	2	-	-	PUNCT
aps-108	99	3	economic	economic	ADJ
aps-108	99	4	indexes	index	NOUN
aps-108	99	5	for	for	ADP
aps-108	99	6	areas	area	NOUN
aps-108	99	7	(	(	PUNCT
aps-108	99	8	seifa	seifa	PROPN
aps-108	99	9	)	)	PUNCT
aps-108	99	10	is	be	AUX
aps-108	99	11	a	a	DET
aps-108	99	12	product	product	NOUN
aps-108	99	13	developed	develop	VERB
aps-108	99	14	by	by	ADP
aps-108	99	15	the	the	DET
aps-108	99	16	abs	ab	NOUN
aps-108	99	17	that	that	PRON
aps-108	99	18	ranks	rank	VERB
aps-108	99	19	areas	area	NOUN
aps-108	99	20	in	in	ADP
aps-108	99	21	australia	australia	PROPN
aps-108	99	22	according	accord	VERB
aps-108	99	23	to	to	ADP
aps-108	99	24	relative	relative	ADJ
aps-108	99	25	socio	socio	NOUN
aps-108	99	26	-	-	PUNCT
aps-108	99	27	economic	economic	ADJ
aps-108	99	28	advantage	advantage	NOUN
aps-108	99	29	and	and	CCONJ
aps-108	99	30	disadvantage	disadvantage	NOUN
aps-108	99	31	.	.	PUNCT
aps-108	100	1	the	the	DET
aps-108	100	2	table	table	NOUN
aps-108	100	3	shows	show	VERB
aps-108	100	4	that	that	SCONJ
aps-108	100	5	covid	covid	PROPN
aps-108	100	6	mortality	mortality	NOUN
aps-108	100	7	was	be	AUX
aps-108	100	8	higher	high	ADJ
aps-108	100	9	in	in	ADP
aps-108	100	10	areas	area	NOUN
aps-108	100	11	of	of	ADP
aps-108	100	12	greater	great	ADJ
aps-108	100	13	socioeconomic	socioeconomic	ADJ
aps-108	100	14	disadvantage	disadvantage	NOUN
aps-108	100	15	.	.	PUNCT
aps-108	101	1	the	the	DET
aps-108	101	2	number	number	NOUN
aps-108	101	3	of	of	ADP
aps-108	101	4	people	people	NOUN
aps-108	101	5	who	who	PRON
aps-108	101	6	died	die	VERB
aps-108	101	7	due	due	ADJ
aps-108	101	8	to	to	PART
aps-108	101	9	covid	covid	PROPN
aps-108	101	10	was	be	AUX
aps-108	101	11	over	over	ADP
aps-108	101	12	3	3	NUM
aps-108	101	13	times	time	NOUN
aps-108	101	14	higher	high	ADJ
aps-108	101	15	among	among	ADP
aps-108	101	16	those	those	PRON
aps-108	101	17	living	live	VERB
aps-108	101	18	in	in	ADP
aps-108	101	19	the	the	DET
aps-108	101	20	most	most	ADV
aps-108	101	21	disadvantaged	disadvantaged	ADJ
aps-108	101	22	areas	area	NOUN
aps-108	101	23	when	when	SCONJ
aps-108	101	24	compared	compare	VERB
aps-108	101	25	to	to	ADP
aps-108	101	26	those	those	PRON
aps-108	101	27	living	live	VERB
aps-108	101	28	in	in	ADP
aps-108	101	29	the	the	DET
aps-108	101	30	least	least	ADJ
aps-108	101	31	disadvantaged	disadvantaged	ADJ
aps-108	101	32	areas	area	NOUN
aps-108	101	33	.	.	PUNCT
aps-108	102	1	around	around	ADV
aps-108	102	2	one	one	NUM
aps-108	102	3	-	-	PUNCT
aps-108	102	4	third	third	NOUN
aps-108	102	5	of	of	ADP
aps-108	102	6	all	all	DET
aps-108	102	7	deaths	death	NOUN
aps-108	102	8	from	from	ADP
aps-108	102	9	and	and	CCONJ
aps-108	102	10	with	with	ADP
aps-108	102	11	covid	covid	PROPN
aps-108	102	12	(	(	PUNCT
aps-108	102	13	covid	covid	PROPN
aps-108	102	14	associated	associate	VERB
aps-108	102	15	deaths	death	NOUN
aps-108	102	16	)	)	PUNCT
aps-108	102	17	in	in	ADP
aps-108	102	18	2020	2020	NUM
aps-108	102	19	to	to	ADP
aps-108	102	20	2022	2022	NUM
aps-108	102	21	were	be	AUX
aps-108	102	22	in	in	ADP
aps-108	102	23	the	the	DET
aps-108	102	24	most	most	ADV
aps-108	102	25	disadvantaged	disadvantaged	ADJ
aps-108	102	26	quintile	quintile	NOUN
aps-108	102	27	,	,	PUNCT
aps-108	102	28	compared	compare	VERB
aps-108	102	29	to	to	ADP
aps-108	102	30	11	11	NUM
aps-108	102	31	per	per	ADP
aps-108	102	32	cent	cent	NOUN
aps-108	102	33	in	in	ADP
aps-108	102	34	the	the	DET
aps-108	102	35	least	least	ADJ
aps-108	102	36	disadvantaged	disadvantaged	ADJ
aps-108	102	37	quintile	quintile	NOUN
aps-108	102	38	.	.	PUNCT
aps-108	103	1	table	table	NOUN
aps-108	103	2	1	1	NUM
aps-108	103	3	:	:	PUNCT
aps-108	103	4	socio	socio	NOUN
aps-108	103	5	-	-	PUNCT
aps-108	103	6	economic	economic	ADJ
aps-108	103	7	status	status	NOUN
aps-108	103	8	of	of	ADP
aps-108	103	9	australians	australians	PROPN
aps-108	103	10	who	who	PRON
aps-108	103	11	died	die	VERB
aps-108	103	12	from	from	ADP
aps-108	103	13	covid	covid	PROPN
aps-108	103	14	,	,	PUNCT
aps-108	103	15	january	january	PROPN
aps-108	103	16	2020	2020	NUM
aps-108	103	17	-	-	PUNCT
aps-108	103	18	september	september	PROPN
aps-108	103	19	2022	2022	NUM
aps-108	103	20	source	source	NOUN
aps-108	103	21	:	:	PUNCT
aps-108	103	22	australian	australian	ADJ
aps-108	103	23	bureau	bureau	NOUN
aps-108	103	24	of	of	ADP
aps-108	103	25	statistics	statistics	PROPN
aps-108	103	26	note	note	NOUN
aps-108	103	27	:	:	PUNCT
aps-108	103	28	index	index	NOUN
aps-108	103	29	of	of	ADP
aps-108	103	30	relative	relative	ADJ
aps-108	103	31	social	social	ADJ
aps-108	103	32	disadvantage	disadvantage	NOUN
aps-108	103	33	(	(	PUNCT
aps-108	103	34	seifa	seifa	NOUN
aps-108	103	35	/	/	SYM
aps-108	103	36	irsd	irsd	NOUN
aps-108	103	37	)	)	PUNCT
aps-108	103	38	quintile	quintile	NOUN
aps-108	103	39	of	of	ADP
aps-108	103	40	those	those	PRON
aps-108	103	41	who	who	PRON
aps-108	103	42	died	die	VERB
aps-108	103	43	from	from	ADP
aps-108	103	44	covid	covid	PROPN
aps-108	103	45	,	,	PUNCT
aps-108	103	46	deaths	death	NOUN
aps-108	103	47	registered	register	VERB
aps-108	103	48	by	by	ADP
aps-108	103	49	30	30	NUM
aps-108	103	50	september	september	PROPN
aps-108	103	51	2022	2022	NUM
aps-108	103	52	figure	figure	NOUN
aps-108	103	53	3	3	NUM
aps-108	103	54	breaks	break	NOUN
aps-108	103	55	down	down	ADP
aps-108	103	56	these	these	DET
aps-108	103	57	patterns	pattern	NOUN
aps-108	103	58	over	over	ADP
aps-108	103	59	time	time	NOUN
aps-108	103	60	.	.	PUNCT
aps-108	104	1	adjusting	adjust	VERB
aps-108	104	2	for	for	ADP
aps-108	104	3	age	age	NOUN
aps-108	104	4	,	,	PUNCT
aps-108	104	5	covid	covid	PROPN
aps-108	104	6	death	death	NOUN
aps-108	104	7	rates	rate	NOUN
aps-108	104	8	were	be	AUX
aps-108	104	9	2.3	2.3	NUM
aps-108	104	10	times	time	NOUN
aps-108	104	11	higher	high	ADJ
aps-108	104	12	in	in	ADP
aps-108	104	13	2020	2020	NUM
aps-108	104	14	for	for	ADP
aps-108	104	15	the	the	DET
aps-108	104	16	most	most	ADV
aps-108	104	17	disadvantaged	disadvantaged	ADJ
aps-108	104	18	quintile	quintile	NOUN
aps-108	104	19	compared	compare	VERB
aps-108	104	20	to	to	ADP
aps-108	104	21	the	the	DET
aps-108	104	22	least	least	ADV
aps-108	104	23	disadvantaged	disadvantaged	ADJ
aps-108	104	24	quintile	quintile	NOUN
aps-108	104	25	.	.	PUNCT
aps-108	105	1	in	in	ADP
aps-108	105	2	2021	2021	NUM
aps-108	105	3	,	,	PUNCT
aps-108	105	4	they	they	PRON
aps-108	105	5	were	be	AUX
aps-108	105	6	4	4	NUM
aps-108	105	7	times	time	NOUN
aps-108	105	8	higher	high	ADJ
aps-108	105	9	.	.	PUNCT
aps-108	106	1	in	in	ADP
aps-108	106	2	2022	2022	NUM
aps-108	106	3	,	,	PUNCT
aps-108	106	4	despite	despite	SCONJ
aps-108	106	5	widespread	widespread	ADJ
aps-108	106	6	increases	increase	NOUN
aps-108	106	7	in	in	ADP
aps-108	106	8	covid	covid	PROPN
aps-108	106	9	infections	infection	NOUN
aps-108	106	10	,	,	PUNCT
aps-108	106	11	people	people	NOUN
aps-108	106	12	in	in	ADP
aps-108	106	13	the	the	DET
aps-108	106	14	most	most	ADV
aps-108	106	15	disadvantaged	disadvantaged	ADJ
aps-108	106	16	quintile	quintile	NOUN
aps-108	106	17	suffered	suffer	VERB
aps-108	106	18	death	death	NOUN
aps-108	106	19	rates	rate	NOUN
aps-108	106	20	1.7	1.7	NUM
aps-108	106	21	times	time	NOUN
aps-108	106	22	higher	high	ADJ
aps-108	106	23	than	than	ADP
aps-108	106	24	the	the	DET
aps-108	106	25	least	least	ADV
aps-108	106	26	disadvantaged	disadvantaged	ADJ
aps-108	106	27	quintile	quintile	NOUN
aps-108	106	28	.	.	PUNCT
aps-108	107	1	i	i	PRON
aps-108	107	2	hope	hope	VERB
aps-108	107	3	that	that	SCONJ
aps-108	107	4	future	future	ADJ
aps-108	107	5	researchers	researcher	NOUN
aps-108	107	6	will	will	AUX
aps-108	107	7	be	be	AUX
aps-108	107	8	able	able	ADJ
aps-108	107	9	to	to	PART
aps-108	107	10	shed	shed	VERB
aps-108	107	11	light	light	NOUN
aps-108	107	12	on	on	ADP
aps-108	107	13	why	why	SCONJ
aps-108	107	14	it	it	PRON
aps-108	107	15	is	be	AUX
aps-108	107	16	that	that	SCONJ
aps-108	107	17	the	the	DET
aps-108	107	18	largest	large	ADJ
aps-108	107	19	socio	socio	NOUN
aps-108	107	20	-	-	PUNCT
aps-108	107	21	economic	economic	ADJ
aps-108	107	22	differences	difference	NOUN
aps-108	107	23	in	in	ADP
aps-108	107	24	covid	covid	PROPN
aps-108	107	25	deaths	death	NOUN
aps-108	107	26	were	be	AUX
aps-108	107	27	in	in	ADP
aps-108	107	28	the	the	DET
aps-108	107	29	2021	2021	NUM
aps-108	107	30	delta	delta	NOUN
aps-108	107	31	wave	wave	NOUN
aps-108	107	32	.	.	PUNCT
aps-108	108	1	it	it	PRON
aps-108	108	2	may	may	AUX
aps-108	108	3	be	be	AUX
aps-108	108	4	relevant	relevant	ADJ
aps-108	108	5	that	that	SCONJ
aps-108	108	6	other	other	ADJ
aps-108	108	7	disparities	disparity	NOUN
aps-108	108	8	were	be	AUX
aps-108	108	9	also	also	ADV
aps-108	108	10	larger	large	ADJ
aps-108	108	11	.	.	PUNCT
aps-108	109	1	for	for	ADP
aps-108	109	2	example	example	NOUN
aps-108	109	3	,	,	PUNCT
aps-108	109	4	the	the	DET
aps-108	109	5	male	male	ADJ
aps-108	109	6	-	-	PUNCT
aps-108	109	7	female	female	ADJ
aps-108	109	8	mortality	mortality	NOUN
aps-108	109	9	gap	gap	NOUN
aps-108	109	10	was	be	AUX
aps-108	109	11	bigger	big	ADJ
aps-108	109	12	in	in	ADP
aps-108	109	13	the	the	DET
aps-108	109	14	delta	delta	NOUN
aps-108	109	15	wave	wave	NOUN
aps-108	109	16	than	than	SCONJ
aps-108	109	17	it	it	PRON
aps-108	109	18	was	be	AUX
aps-108	109	19	in	in	ADP
aps-108	109	20	the	the	DET
aps-108	109	21	omicron	omicron	PROPN
aps-108	109	22	wave	wave	NOUN
aps-108	109	23	or	or	CCONJ
aps-108	109	24	in	in	ADP
aps-108	109	25	the	the	DET
aps-108	109	26	two	two	NUM
aps-108	109	27	2020	2020	NUM
aps-108	109	28	waves	wave	NOUN
aps-108	109	29	.	.	PUNCT
aps-108	110	1	notably	notably	ADV
aps-108	110	2	,	,	PUNCT
aps-108	110	3	the	the	DET
aps-108	110	4	socioeconomic	socioeconomic	ADJ
aps-108	110	5	patterns	pattern	NOUN
aps-108	110	6	are	be	AUX
aps-108	110	7	not	not	PART
aps-108	110	8	specific	specific	ADJ
aps-108	110	9	to	to	ADP
aps-108	110	10	younger	young	ADJ
aps-108	110	11	or	or	CCONJ
aps-108	110	12	older	old	ADJ
aps-108	110	13	australians	australian	NOUN
aps-108	110	14	.	.	PUNCT
aps-108	111	1	in	in	ADP
aps-108	111	2	each	each	DET
aps-108	111	3	age	age	NOUN
aps-108	111	4	group	group	NOUN
aps-108	111	5	,	,	PUNCT
aps-108	111	6	people	people	NOUN
aps-108	111	7	in	in	ADP
aps-108	111	8	the	the	DET
aps-108	111	9	most	most	ADV
aps-108	111	10	disadvantaged	disadvantaged	ADJ
aps-108	111	11	seifa	seifa	NOUN
aps-108	111	12	quintile	quintile	NOUN
aps-108	111	13	had	have	VERB
aps-108	111	14	a	a	DET
aps-108	111	15	higher	high	ADJ
aps-108	111	16	chance	chance	NOUN
aps-108	111	17	of	of	ADP
aps-108	111	18	dying	die	VERB
aps-108	111	19	of	of	ADP
aps-108	111	20	covid	covid	PROPN
aps-108	111	21	.	.	PUNCT
aps-108	112	1	let	let	VERB
aps-108	112	2	’s	’s	NOUN
aps-108	112	3	turn	turn	VERB
aps-108	112	4	now	now	ADV
aps-108	112	5	to	to	ADP
aps-108	112	6	country	country	NOUN
aps-108	112	7	of	of	ADP
aps-108	112	8	birth	birth	NOUN
aps-108	112	9	.	.	PUNCT
aps-108	113	1	before	before	ADP
aps-108	113	2	the	the	DET
aps-108	113	3	pandemic	pandemic	NOUN
aps-108	113	4	,	,	PUNCT
aps-108	113	5	the	the	DET
aps-108	113	6	mortality	mortality	NOUN
aps-108	113	7	of	of	ADP
aps-108	113	8	residents	resident	NOUN
aps-108	113	9	born	bear	VERB
aps-108	113	10	overseas	overseas	ADV
aps-108	113	11	was	be	AUX
aps-108	113	12	lower	low	ADJ
aps-108	113	13	than	than	ADP
aps-108	113	14	those	those	PRON
aps-108	113	15	born	bear	VERB
aps-108	113	16	in	in	ADP
aps-108	113	17	australia	australia	PROPN
aps-108	113	18	.	.	PUNCT
aps-108	114	1	this	this	PRON
aps-108	114	2	was	be	AUX
aps-108	114	3	particularly	particularly	ADV
aps-108	114	4	clear	clear	ADJ
aps-108	114	5	between	between	ADP
aps-108	114	6	the	the	DET
aps-108	114	7	ages	age	NOUN
aps-108	114	8	of	of	ADP
aps-108	114	9	10	10	NUM
aps-108	114	10	and	and	CCONJ
aps-108	114	11	60	60	NUM
aps-108	114	12	.	.	PUNCT
aps-108	115	1	one	one	NUM
aps-108	115	2	likely	likely	ADJ
aps-108	115	3	explanation	explanation	NOUN
aps-108	115	4	may	may	AUX
aps-108	115	5	be	be	AUX
aps-108	115	6	the	the	DET
aps-108	115	7	presence	presence	NOUN
aps-108	115	8	of	of	ADP
aps-108	115	9	a	a	DET
aps-108	115	10	selection	selection	NOUN
aps-108	115	11	effect	effect	NOUN
aps-108	115	12	for	for	ADP
aps-108	115	13	those	those	PRON
aps-108	115	14	moving	move	VERB
aps-108	115	15	to	to	ADP
aps-108	115	16	australia	australia	PROPN
aps-108	115	17	,	,	PUNCT
aps-108	115	18	known	know	VERB
aps-108	115	19	as	as	ADP
aps-108	115	20	australian	australian	ADJ
aps-108	115	21	population	population	NOUN
aps-108	115	22	studies	study	NOUN
aps-108	115	23	6	6	NUM
aps-108	115	24	(	(	PUNCT
aps-108	115	25	2	2	NUM
aps-108	115	26	)	)	PUNCT
aps-108	115	27	2022	2022	NUM
aps-108	115	28	leigh	leigh	NOUN
aps-108	115	29	39	39	NUM
aps-108	115	30	the	the	DET
aps-108	115	31	‘	'	PUNCT
aps-108	115	32	healthy	healthy	ADJ
aps-108	115	33	migrant	migrant	ADJ
aps-108	115	34	effect	effect	NOUN
aps-108	115	35	’	'	PUNCT
aps-108	115	36	(	(	PUNCT
aps-108	115	37	centre	centre	NOUN
aps-108	115	38	for	for	ADP
aps-108	115	39	population	population	NOUN
aps-108	115	40	and	and	CCONJ
aps-108	115	41	australia	australia	PROPN
aps-108	115	42	government	government	NOUN
aps-108	115	43	actuary	actuary	NOUN
aps-108	115	44	2021	2021	NUM
aps-108	115	45	)	)	PUNCT
aps-108	115	46	.	.	PUNCT
aps-108	116	1	however	however	ADV
aps-108	116	2	,	,	PUNCT
aps-108	116	3	during	during	ADP
aps-108	116	4	the	the	DET
aps-108	116	5	pandemic	pandemic	ADJ
aps-108	116	6	,	,	PUNCT
aps-108	116	7	australian	australian	ADJ
aps-108	116	8	residents	resident	NOUN
aps-108	116	9	born	bear	VERB
aps-108	116	10	overseas	overseas	ADV
aps-108	116	11	have	have	AUX
aps-108	116	12	had	have	VERB
aps-108	116	13	consistently	consistently	ADV
aps-108	116	14	higher	high	ADJ
aps-108	116	15	death	death	NOUN
aps-108	116	16	rates	rate	NOUN
aps-108	116	17	from	from	ADP
aps-108	116	18	and	and	CCONJ
aps-108	116	19	with	with	ADP
aps-108	116	20	covid	covid	PROPN
aps-108	116	21	than	than	ADP
aps-108	116	22	the	the	DET
aps-108	116	23	australian	australian	ADJ
aps-108	116	24	-	-	PUNCT
aps-108	116	25	born	bear	VERB
aps-108	116	26	population	population	NOUN
aps-108	116	27	.	.	PUNCT
aps-108	117	1	figure	figure	VERB
aps-108	117	2	3	3	NUM
aps-108	117	3	:	:	PUNCT
aps-108	117	4	covid	covid	PROPN
aps-108	117	5	mortality	mortality	NOUN
aps-108	117	6	by	by	ADP
aps-108	117	7	socioeconomic	socioeconomic	ADJ
aps-108	117	8	quintile	quintile	NOUN
aps-108	117	9	(	(	PUNCT
aps-108	117	10	age	age	NOUN
aps-108	117	11	-	-	PUNCT
aps-108	117	12	standardised	standardise	VERB
aps-108	117	13	)	)	PUNCT
aps-108	117	14	source	source	NOUN
aps-108	117	15	:	:	PUNCT
aps-108	117	16	australian	australian	ADJ
aps-108	117	17	bureau	bureau	NOUN
aps-108	117	18	of	of	ADP
aps-108	117	19	statistics	statistics	PROPN
aps-108	117	20	note	note	NOUN
aps-108	117	21	:	:	PUNCT
aps-108	118	1	covid	covid	PROPN
aps-108	118	2	associated	associated	ADJ
aps-108	118	3	mortality	mortality	NOUN
aps-108	118	4	for	for	ADP
aps-108	118	5	deaths	death	NOUN
aps-108	118	6	registered	register	VERB
aps-108	118	7	and	and	CCONJ
aps-108	118	8	received	receive	VERB
aps-108	118	9	by	by	ADP
aps-108	118	10	the	the	DET
aps-108	118	11	abs	ab	NOUN
aps-108	118	12	until	until	ADP
aps-108	118	13	the	the	DET
aps-108	118	14	end	end	NOUN
aps-108	118	15	of	of	ADP
aps-108	118	16	september	september	PROPN
aps-108	118	17	2022	2022	NUM
aps-108	118	18	figure	figure	NOUN
aps-108	118	19	4	4	NUM
aps-108	118	20	shows	show	VERB
aps-108	118	21	that	that	SCONJ
aps-108	118	22	in	in	ADP
aps-108	118	23	the	the	DET
aps-108	118	24	first	first	ADJ
aps-108	118	25	year	year	NOUN
aps-108	118	26	of	of	ADP
aps-108	118	27	the	the	DET
aps-108	118	28	pandemic	pandemic	NOUN
aps-108	118	29	,	,	PUNCT
aps-108	118	30	the	the	DET
aps-108	118	31	age	age	NOUN
aps-108	118	32	standardised	standardise	VERB
aps-108	118	33	covid	covid	PROPN
aps-108	118	34	death	death	NOUN
aps-108	118	35	rate	rate	NOUN
aps-108	118	36	for	for	ADP
aps-108	118	37	people	people	NOUN
aps-108	118	38	born	bear	VERB
aps-108	118	39	overseas	overseas	ADV
aps-108	118	40	was	be	AUX
aps-108	118	41	more	more	ADJ
aps-108	118	42	than	than	ADP
aps-108	118	43	twice	twice	ADV
aps-108	118	44	as	as	ADV
aps-108	118	45	high	high	ADJ
aps-108	118	46	as	as	ADP
aps-108	118	47	that	that	PRON
aps-108	118	48	for	for	ADP
aps-108	118	49	those	those	PRON
aps-108	118	50	born	bear	VERB
aps-108	118	51	in	in	ADP
aps-108	118	52	australia	australia	PROPN
aps-108	118	53	.	.	PUNCT
aps-108	119	1	in	in	ADP
aps-108	119	2	2021	2021	NUM
aps-108	119	3	,	,	PUNCT
aps-108	119	4	this	this	DET
aps-108	119	5	gap	gap	NOUN
aps-108	119	6	widened	widen	VERB
aps-108	119	7	to	to	PART
aps-108	119	8	become	become	VERB
aps-108	119	9	3.6	3.6	NUM
aps-108	119	10	times	time	NOUN
aps-108	119	11	higher	high	ADJ
aps-108	119	12	for	for	ADP
aps-108	119	13	those	those	PRON
aps-108	119	14	born	bear	VERB
aps-108	119	15	overseas	overseas	ADV
aps-108	119	16	.	.	PUNCT
aps-108	120	1	from	from	ADP
aps-108	120	2	january	january	PROPN
aps-108	120	3	to	to	ADP
aps-108	120	4	september	september	PROPN
aps-108	120	5	2022	2022	NUM
aps-108	120	6	,	,	PUNCT
aps-108	120	7	the	the	DET
aps-108	120	8	covid	covid	PROPN
aps-108	120	9	mortality	mortality	NOUN
aps-108	120	10	rate	rate	NOUN
aps-108	120	11	for	for	ADP
aps-108	120	12	people	people	NOUN
aps-108	120	13	born	bear	VERB
aps-108	120	14	overseas	overseas	ADV
aps-108	120	15	was	be	AUX
aps-108	120	16	1.3	1.3	NUM
aps-108	120	17	times	time	NOUN
aps-108	120	18	higher	high	ADJ
aps-108	120	19	than	than	ADP
aps-108	120	20	for	for	ADP
aps-108	120	21	people	people	NOUN
aps-108	120	22	born	bear	VERB
aps-108	120	23	in	in	ADP
aps-108	120	24	australia	australia	PROPN
aps-108	120	25	.	.	PUNCT
aps-108	121	1	again	again	ADV
aps-108	121	2	,	,	PUNCT
aps-108	121	3	the	the	DET
aps-108	121	4	socio	socio	NOUN
aps-108	121	5	-	-	PUNCT
aps-108	121	6	economic	economic	ADJ
aps-108	121	7	gap	gap	NOUN
aps-108	121	8	in	in	ADP
aps-108	121	9	covid	covid	PROPN
aps-108	121	10	mortality	mortality	NOUN
aps-108	121	11	was	be	AUX
aps-108	121	12	largest	large	ADJ
aps-108	121	13	in	in	ADP
aps-108	121	14	2021	2021	NUM
aps-108	121	15	.	.	PUNCT
aps-108	122	1	there	there	PRON
aps-108	122	2	are	be	VERB
aps-108	122	3	also	also	ADV
aps-108	122	4	considerable	considerable	ADJ
aps-108	122	5	differences	difference	NOUN
aps-108	122	6	among	among	ADP
aps-108	122	7	the	the	DET
aps-108	122	8	overseas	overseas	ADV
aps-108	122	9	-	-	PUNCT
aps-108	122	10	born	bear	VERB
aps-108	122	11	population	population	NOUN
aps-108	122	12	.	.	PUNCT
aps-108	123	1	from	from	ADP
aps-108	123	2	the	the	DET
aps-108	123	3	beginning	beginning	NOUN
aps-108	123	4	of	of	ADP
aps-108	123	5	the	the	DET
aps-108	123	6	pandemic	pandemic	NOUN
aps-108	123	7	until	until	ADP
aps-108	123	8	the	the	DET
aps-108	123	9	end	end	NOUN
aps-108	123	10	of	of	ADP
aps-108	123	11	september	september	PROPN
aps-108	123	12	this	this	DET
aps-108	123	13	year	year	NOUN
aps-108	123	14	,	,	PUNCT
aps-108	123	15	people	people	NOUN
aps-108	123	16	born	bear	VERB
aps-108	123	17	in	in	ADP
aps-108	123	18	the	the	DET
aps-108	123	19	middle	middle	PROPN
aps-108	123	20	east	east	PROPN
aps-108	123	21	had	have	VERB
aps-108	123	22	the	the	DET
aps-108	123	23	highest	high	ADJ
aps-108	123	24	age	age	NOUN
aps-108	123	25	-	-	PUNCT
aps-108	123	26	standardised	standardise	VERB
aps-108	123	27	death	death	NOUN
aps-108	123	28	rate	rate	NOUN
aps-108	123	29	,	,	PUNCT
aps-108	123	30	at	at	ADP
aps-108	123	31	41	41	NUM
aps-108	123	32	covid	covid	NOUN
aps-108	123	33	deaths	death	NOUN
aps-108	123	34	per	per	ADP
aps-108	123	35	100,000	100,000	NUM
aps-108	123	36	people	people	NOUN
aps-108	123	37	.	.	PUNCT
aps-108	124	1	this	this	PRON
aps-108	124	2	is	be	AUX
aps-108	124	3	more	more	ADJ
aps-108	124	4	than	than	ADP
aps-108	124	5	4	4	NUM
aps-108	124	6	times	time	NOUN
aps-108	124	7	higher	high	ADJ
aps-108	124	8	than	than	ADP
aps-108	124	9	the	the	DET
aps-108	124	10	rate	rate	NOUN
aps-108	124	11	experienced	experience	VERB
aps-108	124	12	by	by	ADP
aps-108	124	13	those	those	PRON
aps-108	124	14	born	bear	VERB
aps-108	124	15	in	in	ADP
aps-108	124	16	australia	australia	PROPN
aps-108	124	17	.	.	PUNCT
aps-108	125	1	by	by	ADP
aps-108	125	2	contrast	contrast	NOUN
aps-108	125	3	,	,	PUNCT
aps-108	125	4	at	at	ADP
aps-108	125	5	9	9	NUM
aps-108	125	6	deaths	death	NOUN
aps-108	125	7	per	per	ADP
aps-108	125	8	100,000	100,000	NUM
aps-108	125	9	,	,	PUNCT
aps-108	125	10	people	people	NOUN
aps-108	125	11	born	bear	VERB
aps-108	125	12	in	in	ADP
aps-108	125	13	sub	sub	NOUN
aps-108	125	14	saharan	saharan	PROPN
aps-108	125	15	africa	africa	PROPN
aps-108	125	16	had	have	VERB
aps-108	125	17	a	a	DET
aps-108	125	18	lower	low	ADJ
aps-108	125	19	age	age	NOUN
aps-108	125	20	-	-	PUNCT
aps-108	125	21	standardised	standardise	VERB
aps-108	125	22	covid	covid	PROPN
aps-108	125	23	death	death	NOUN
aps-108	125	24	rate	rate	NOUN
aps-108	125	25	than	than	ADP
aps-108	125	26	people	people	NOUN
aps-108	125	27	born	bear	VERB
aps-108	125	28	in	in	ADP
aps-108	125	29	australia	australia	PROPN
aps-108	125	30	.	.	PUNCT
aps-108	126	1	first	first	ADJ
aps-108	126	2	nations	nation	NOUN
aps-108	126	3	australians	australian	NOUN
aps-108	126	4	are	be	AUX
aps-108	126	5	at	at	ADP
aps-108	126	6	heightened	heightened	ADJ
aps-108	126	7	risk	risk	NOUN
aps-108	126	8	of	of	ADP
aps-108	126	9	more	more	ADV
aps-108	126	10	severe	severe	ADJ
aps-108	126	11	outcomes	outcome	NOUN
aps-108	126	12	from	from	ADP
aps-108	126	13	covid	covid	PROPN
aps-108	126	14	than	than	ADP
aps-108	126	15	non	non	ADJ
aps-108	126	16	-	-	ADJ
aps-108	126	17	first	first	ADJ
aps-108	126	18	nations	nation	NOUN
aps-108	126	19	australians	australian	NOUN
aps-108	126	20	.	.	PUNCT
aps-108	127	1	there	there	PRON
aps-108	127	2	are	be	VERB
aps-108	127	3	several	several	ADJ
aps-108	127	4	reasons	reason	NOUN
aps-108	127	5	for	for	ADP
aps-108	127	6	this	this	PRON
aps-108	127	7	,	,	PUNCT
aps-108	127	8	including	include	VERB
aps-108	127	9	higher	high	ADJ
aps-108	127	10	rates	rate	NOUN
aps-108	127	11	of	of	ADP
aps-108	127	12	socioeconomic	socioeconomic	ADJ
aps-108	127	13	disadvantage	disadvantage	NOUN
aps-108	127	14	,	,	PUNCT
aps-108	127	15	higher	high	ADJ
aps-108	127	16	prevalence	prevalence	NOUN
aps-108	127	17	of	of	ADP
aps-108	127	18	chronic	chronic	ADJ
aps-108	127	19	diseases	disease	NOUN
aps-108	127	20	and	and	CCONJ
aps-108	127	21	limited	limited	ADJ
aps-108	127	22	access	access	NOUN
aps-108	127	23	to	to	ADP
aps-108	127	24	culturally	culturally	ADV
aps-108	127	25	safe	safe	ADJ
aps-108	127	26	healthcare	healthcare	NOUN
aps-108	127	27	.	.	PUNCT
aps-108	128	1	40	40	NUM
aps-108	128	2	leigh	leigh	ADJ
aps-108	128	3	australian	australian	ADJ
aps-108	128	4	population	population	NOUN
aps-108	128	5	studies	study	NOUN
aps-108	128	6	6	6	NUM
aps-108	128	7	(	(	PUNCT
aps-108	128	8	2	2	NUM
aps-108	128	9	)	)	PUNCT
aps-108	128	10	2022	2022	NUM
aps-108	128	11	figure	figure	NOUN
aps-108	128	12	4	4	NUM
aps-108	128	13	:	:	PUNCT
aps-108	128	14	covid	covid	PROPN
aps-108	128	15	mortality	mortality	NOUN
aps-108	128	16	by	by	ADP
aps-108	128	17	country	country	NOUN
aps-108	128	18	of	of	ADP
aps-108	128	19	birth	birth	NOUN
aps-108	128	20	source	source	NOUN
aps-108	128	21	:	:	PUNCT
aps-108	128	22	australian	australian	ADJ
aps-108	128	23	bureau	bureau	NOUN
aps-108	128	24	of	of	ADP
aps-108	128	25	statistics	statistics	PROPN
aps-108	128	26	note	note	NOUN
aps-108	128	27	:	:	PUNCT
aps-108	129	1	covid	covid	PROPN
aps-108	129	2	associated	associate	VERB
aps-108	129	3	deaths	death	NOUN
aps-108	129	4	by	by	ADP
aps-108	129	5	place	place	NOUN
aps-108	129	6	of	of	ADP
aps-108	129	7	birth	birth	NOUN
aps-108	129	8	,	,	PUNCT
aps-108	129	9	age	age	NOUN
aps-108	129	10	-	-	PUNCT
aps-108	129	11	standardised	standardise	VERB
aps-108	129	12	death	death	NOUN
aps-108	129	13	rate	rate	NOUN
aps-108	129	14	,	,	PUNCT
aps-108	129	15	deaths	death	NOUN
aps-108	129	16	registered	register	VERB
aps-108	129	17	by	by	ADP
aps-108	129	18	30	30	NUM
aps-108	129	19	september	september	PROPN
aps-108	129	20	2022	2022	NUM
aps-108	129	21	figure	figure	NOUN
aps-108	129	22	5	5	NUM
aps-108	129	23	shows	show	VERB
aps-108	129	24	covid	covid	PROPN
aps-108	129	25	mortality	mortality	NOUN
aps-108	129	26	broken	break	VERB
aps-108	129	27	down	down	ADP
aps-108	129	28	by	by	ADP
aps-108	129	29	indigenous	indigenous	ADJ
aps-108	129	30	status	status	NOUN
aps-108	129	31	.	.	PUNCT
aps-108	130	1	unlike	unlike	ADP
aps-108	130	2	previous	previous	ADJ
aps-108	130	3	charts	chart	NOUN
aps-108	130	4	,	,	PUNCT
aps-108	130	5	this	this	DET
aps-108	130	6	analysis	analysis	NOUN
aps-108	130	7	includes	include	VERB
aps-108	130	8	deaths	death	NOUN
aps-108	130	9	with	with	ADP
aps-108	130	10	covid	covid	PROPN
aps-108	130	11	and	and	CCONJ
aps-108	130	12	deaths	death	NOUN
aps-108	130	13	from	from	ADP
aps-108	130	14	covid	covid	PROPN
aps-108	130	15	–	–	PUNCT
aps-108	130	16	in	in	ADP
aps-108	130	17	other	other	ADJ
aps-108	130	18	words	word	NOUN
aps-108	130	19	,	,	PUNCT
aps-108	130	20	it	it	PRON
aps-108	130	21	includes	include	VERB
aps-108	130	22	deaths	death	NOUN
aps-108	130	23	where	where	SCONJ
aps-108	130	24	covid	covid	PROPN
aps-108	130	25	was	be	AUX
aps-108	130	26	not	not	PART
aps-108	130	27	the	the	DET
aps-108	130	28	main	main	ADJ
aps-108	130	29	cause	cause	NOUN
aps-108	130	30	of	of	ADP
aps-108	130	31	death	death	NOUN
aps-108	130	32	.	.	PUNCT
aps-108	131	1	accordingly	accordingly	ADV
aps-108	131	2	,	,	PUNCT
aps-108	131	3	the	the	DET
aps-108	131	4	mortality	mortality	NOUN
aps-108	131	5	rates	rate	NOUN
aps-108	131	6	shown	show	VERB
aps-108	131	7	in	in	ADP
aps-108	131	8	figure	figure	NOUN
aps-108	131	9	5	5	NUM
aps-108	131	10	are	be	AUX
aps-108	131	11	higher	high	ADJ
aps-108	131	12	than	than	ADP
aps-108	131	13	in	in	ADP
aps-108	131	14	previous	previous	ADJ
aps-108	131	15	charts	chart	NOUN
aps-108	131	16	.	.	PUNCT
aps-108	132	1	the	the	DET
aps-108	132	2	comparison	comparison	NOUN
aps-108	132	3	shows	show	VERB
aps-108	132	4	that	that	SCONJ
aps-108	132	5	the	the	DET
aps-108	132	6	rate	rate	NOUN
aps-108	132	7	of	of	ADP
aps-108	132	8	death	death	NOUN
aps-108	132	9	from	from	ADP
aps-108	132	10	or	or	CCONJ
aps-108	132	11	with	with	ADP
aps-108	132	12	covid	covid	PROPN
aps-108	132	13	for	for	ADP
aps-108	132	14	first	first	ADJ
aps-108	132	15	nations	nation	NOUN
aps-108	132	16	australians	australians	PROPN
aps-108	132	17	is	be	AUX
aps-108	132	18	1.7	1.7	NUM
aps-108	132	19	times	time	NOUN
aps-108	132	20	higher	high	ADJ
aps-108	132	21	than	than	ADP
aps-108	132	22	for	for	ADP
aps-108	132	23	non	non	ADJ
aps-108	132	24	-	-	ADJ
aps-108	132	25	indigenous	indigenous	ADJ
aps-108	132	26	australians	australian	NOUN
aps-108	132	27	.	.	PUNCT
aps-108	133	1	for	for	ADP
aps-108	133	2	deaths	death	NOUN
aps-108	133	3	with	with	ADP
aps-108	133	4	covid	covid	PROPN
aps-108	133	5	–	–	PUNCT
aps-108	133	6	that	that	ADV
aps-108	133	7	is	is	ADV
aps-108	133	8	,	,	PUNCT
aps-108	133	9	where	where	SCONJ
aps-108	133	10	covid	covid	PROPN
aps-108	133	11	was	be	AUX
aps-108	133	12	a	a	DET
aps-108	133	13	contributory	contributory	NOUN
aps-108	133	14	cause	cause	NOUN
aps-108	133	15	but	but	CCONJ
aps-108	133	16	not	not	PART
aps-108	133	17	the	the	DET
aps-108	133	18	underlying	underlie	VERB
aps-108	133	19	cause	cause	NOUN
aps-108	133	20	–	–	PUNCT
aps-108	133	21	this	this	DET
aps-108	133	22	difference	difference	NOUN
aps-108	133	23	was	be	AUX
aps-108	133	24	particularly	particularly	ADV
aps-108	133	25	stark	stark	ADJ
aps-108	133	26	.	.	PUNCT
aps-108	134	1	among	among	ADP
aps-108	134	2	first	first	ADJ
aps-108	134	3	nations	nation	NOUN
aps-108	134	4	women	woman	NOUN
aps-108	134	5	,	,	PUNCT
aps-108	134	6	the	the	DET
aps-108	134	7	rate	rate	NOUN
aps-108	134	8	of	of	ADP
aps-108	134	9	mortality	mortality	NOUN
aps-108	134	10	with	with	ADP
aps-108	134	11	covid	covid	PROPN
aps-108	134	12	is	be	AUX
aps-108	134	13	close	close	ADJ
aps-108	134	14	to	to	ADP
aps-108	134	15	3	3	NUM
aps-108	134	16	times	time	NOUN
aps-108	134	17	higher	high	ADJ
aps-108	134	18	than	than	ADP
aps-108	134	19	that	that	PRON
aps-108	134	20	of	of	ADP
aps-108	134	21	non	non	ADJ
aps-108	134	22	-	-	ADJ
aps-108	134	23	indigenous	indigenous	ADJ
aps-108	134	24	females	female	NOUN
aps-108	134	25	.	.	PUNCT
aps-108	135	1	among	among	ADP
aps-108	135	2	first	first	ADJ
aps-108	135	3	nations	nation	NOUN
aps-108	135	4	men	man	NOUN
aps-108	135	5	,	,	PUNCT
aps-108	135	6	the	the	DET
aps-108	135	7	ratio	ratio	NOUN
aps-108	135	8	is	be	AUX
aps-108	135	9	twice	twice	ADV
aps-108	135	10	as	as	ADV
aps-108	135	11	high	high	ADJ
aps-108	135	12	.	.	PUNCT
aps-108	136	1	this	this	DET
aps-108	136	2	difference	difference	NOUN
aps-108	136	3	has	have	AUX
aps-108	136	4	emerged	emerge	VERB
aps-108	136	5	later	later	ADV
aps-108	136	6	in	in	ADP
aps-108	136	7	the	the	DET
aps-108	136	8	pandemic	pandemic	NOUN
aps-108	136	9	.	.	PUNCT
aps-108	137	1	there	there	PRON
aps-108	137	2	were	be	VERB
aps-108	137	3	no	no	DET
aps-108	137	4	covid	covid	NOUN
aps-108	137	5	associated	associate	VERB
aps-108	137	6	deaths	death	NOUN
aps-108	137	7	of	of	ADP
aps-108	137	8	first	first	ADJ
aps-108	137	9	nations	nation	NOUN
aps-108	137	10	people	people	NOUN
aps-108	137	11	during	during	ADP
aps-108	137	12	wave	wave	NOUN
aps-108	137	13	1	1	NUM
aps-108	137	14	and	and	CCONJ
aps-108	137	15	wave	wave	NOUN
aps-108	137	16	2	2	NUM
aps-108	137	17	of	of	ADP
aps-108	137	18	the	the	DET
aps-108	137	19	pandemic	pandemic	NOUN
aps-108	137	20	.	.	PUNCT
aps-108	138	1	there	there	PRON
aps-108	138	2	were	be	VERB
aps-108	138	3	20	20	NUM
aps-108	138	4	deaths	death	NOUN
aps-108	138	5	during	during	ADP
aps-108	138	6	the	the	DET
aps-108	138	7	delta	delta	NOUN
aps-108	138	8	wave	wave	NOUN
aps-108	138	9	,	,	PUNCT
aps-108	138	10	with	with	ADP
aps-108	138	11	the	the	DET
aps-108	138	12	remaining	remain	VERB
aps-108	138	13	158	158	NUM
aps-108	138	14	deaths	death	NOUN
aps-108	138	15	occurring	occur	VERB
aps-108	138	16	during	during	ADP
aps-108	138	17	the	the	DET
aps-108	138	18	omicron	omicron	PROPN
aps-108	138	19	wave	wave	NOUN
aps-108	138	20	.	.	PUNCT
aps-108	139	1	during	during	ADP
aps-108	139	2	the	the	DET
aps-108	139	3	omicron	omicron	PROPN
aps-108	139	4	wave	wave	NOUN
aps-108	139	5	the	the	DET
aps-108	139	6	largest	large	ADJ
aps-108	139	7	number	number	NOUN
aps-108	139	8	of	of	ADP
aps-108	139	9	deaths	death	NOUN
aps-108	139	10	have	have	AUX
aps-108	139	11	so	so	ADV
aps-108	139	12	far	far	ADV
aps-108	139	13	been	be	AUX
aps-108	139	14	recorded	record	VERB
aps-108	139	15	as	as	ADP
aps-108	139	16	occurring	occur	VERB
aps-108	139	17	in	in	ADP
aps-108	139	18	february	february	PROPN
aps-108	139	19	(	(	PUNCT
aps-108	139	20	34	34	NUM
aps-108	139	21	)	)	PUNCT
aps-108	139	22	,	,	PUNCT
aps-108	139	23	followed	follow	VERB
aps-108	139	24	by	by	ADP
aps-108	139	25	january	january	PROPN
aps-108	139	26	with	with	ADP
aps-108	139	27	24	24	NUM
aps-108	139	28	deaths	death	NOUN
aps-108	139	29	.	.	PUNCT
aps-108	140	1	the	the	DET
aps-108	140	2	number	number	NOUN
aps-108	140	3	of	of	ADP
aps-108	140	4	deaths	death	NOUN
aps-108	140	5	for	for	ADP
aps-108	140	6	later	later	ADJ
aps-108	140	7	months	month	NOUN
aps-108	140	8	is	be	AUX
aps-108	140	9	expected	expect	VERB
aps-108	140	10	to	to	PART
aps-108	140	11	increase	increase	VERB
aps-108	140	12	as	as	SCONJ
aps-108	140	13	additional	additional	ADJ
aps-108	140	14	information	information	NOUN
aps-108	140	15	on	on	ADP
aps-108	140	16	deaths	death	NOUN
aps-108	140	17	is	be	AUX
aps-108	140	18	received	receive	VERB
aps-108	140	19	.	.	PUNCT
aps-108	141	1	here	here	ADV
aps-108	141	2	are	be	AUX
aps-108	141	3	some	some	DET
aps-108	141	4	statistics	statistic	NOUN
aps-108	141	5	to	to	PART
aps-108	141	6	give	give	VERB
aps-108	141	7	you	you	PRON
aps-108	141	8	an	an	DET
aps-108	141	9	idea	idea	NOUN
aps-108	141	10	of	of	ADP
aps-108	141	11	how	how	SCONJ
aps-108	141	12	different	different	ADJ
aps-108	141	13	covid	covid	NOUN
aps-108	141	14	mortality	mortality	NOUN
aps-108	141	15	outcomes	outcome	NOUN
aps-108	141	16	are	be	AUX
aps-108	141	17	for	for	ADP
aps-108	141	18	first	first	ADJ
aps-108	141	19	nations	nation	NOUN
aps-108	141	20	australians	australian	NOUN
aps-108	141	21	.	.	PUNCT
aps-108	142	1	•	•	NUM
aps-108	142	2	a	a	DET
aps-108	142	3	higher	high	ADJ
aps-108	142	4	proportion	proportion	NOUN
aps-108	142	5	of	of	ADP
aps-108	142	6	first	first	ADJ
aps-108	142	7	nations	nation	NOUN
aps-108	142	8	people	people	NOUN
aps-108	142	9	died	die	VERB
aps-108	142	10	with	with	ADP
aps-108	142	11	covid	covid	PROPN
aps-108	142	12	as	as	ADP
aps-108	142	13	a	a	DET
aps-108	142	14	contributing	contribute	VERB
aps-108	142	15	factor	factor	NOUN
aps-108	142	16	compared	compare	VERB
aps-108	142	17	with	with	ADP
aps-108	142	18	non	non	ADJ
aps-108	142	19	-	-	ADJ
aps-108	142	20	indigenous	indigenous	ADJ
aps-108	142	21	people	people	NOUN
aps-108	142	22	(	(	PUNCT
aps-108	142	23	33.1	33.1	NUM
aps-108	142	24	per	per	ADP
aps-108	142	25	cent	cent	NOUN
aps-108	142	26	compared	compare	VERB
aps-108	142	27	with	with	ADP
aps-108	142	28	22.1	22.1	NUM
aps-108	142	29	per	per	ADP
aps-108	142	30	cent	cent	NOUN
aps-108	142	31	)	)	PUNCT
aps-108	142	32	.	.	PUNCT
aps-108	143	1	•	•	NUM
aps-108	143	2	the	the	DET
aps-108	143	3	rate	rate	NOUN
aps-108	143	4	of	of	ADP
aps-108	143	5	covid	covid	PROPN
aps-108	143	6	mortality	mortality	NOUN
aps-108	143	7	in	in	ADP
aps-108	143	8	first	first	ADJ
aps-108	143	9	nations	nation	NOUN
aps-108	143	10	people	people	NOUN
aps-108	143	11	aged	age	VERB
aps-108	143	12	between	between	ADP
aps-108	143	13	55	55	NUM
aps-108	143	14	64	64	NUM
aps-108	143	15	is	be	AUX
aps-108	143	16	4.5	4.5	NUM
aps-108	143	17	times	time	NOUN
aps-108	143	18	higher	high	ADJ
aps-108	143	19	than	than	ADP
aps-108	143	20	non	non	ADJ
aps-108	143	21	-	-	ADJ
aps-108	143	22	indigenous	indigenous	ADJ
aps-108	143	23	people	people	NOUN
aps-108	143	24	of	of	ADP
aps-108	143	25	the	the	DET
aps-108	143	26	same	same	ADJ
aps-108	143	27	age	age	NOUN
aps-108	143	28	.	.	PUNCT
aps-108	144	1	australian	australian	ADJ
aps-108	144	2	population	population	NOUN
aps-108	144	3	studies	study	NOUN
aps-108	144	4	6	6	NUM
aps-108	144	5	(	(	PUNCT
aps-108	144	6	2	2	NUM
aps-108	144	7	)	)	PUNCT
aps-108	144	8	2022	2022	NUM
aps-108	144	9	leigh	leigh	NOUN
aps-108	144	10	41	41	NUM
aps-108	144	11	•	•	NOUN
aps-108	144	12	first	first	ADJ
aps-108	144	13	nations	nation	NOUN
aps-108	144	14	people	people	NOUN
aps-108	144	15	who	who	PRON
aps-108	144	16	died	die	VERB
aps-108	144	17	from	from	ADP
aps-108	144	18	covid	covid	PROPN
aps-108	144	19	had	have	VERB
aps-108	144	20	higher	high	ADJ
aps-108	144	21	rates	rate	NOUN
aps-108	144	22	of	of	ADP
aps-108	144	23	diabetes	diabetes	NOUN
aps-108	144	24	,	,	PUNCT
aps-108	144	25	chronic	chronic	ADJ
aps-108	144	26	kidney	kidney	NOUN
aps-108	144	27	disease	disease	NOUN
aps-108	144	28	,	,	PUNCT
aps-108	144	29	chronic	chronic	ADJ
aps-108	144	30	respiratory	respiratory	ADJ
aps-108	144	31	diseases	disease	NOUN
aps-108	144	32	and	and	CCONJ
aps-108	144	33	hypertension	hypertension	NOUN
aps-108	144	34	listed	list	VERB
aps-108	144	35	as	as	ADP
aps-108	144	36	pre	pre	ADJ
aps-108	144	37	-	-	ADJ
aps-108	144	38	existing	exist	VERB
aps-108	144	39	chronic	chronic	ADJ
aps-108	144	40	conditions	condition	NOUN
aps-108	144	41	compared	compare	VERB
aps-108	144	42	to	to	ADP
aps-108	144	43	non	non	ADJ
aps-108	144	44	-	-	ADJ
aps-108	144	45	indigenous	indigenous	ADJ
aps-108	144	46	people	people	NOUN
aps-108	144	47	.	.	PUNCT
aps-108	145	1	•	•	NUM
aps-108	146	1	first	first	ADJ
aps-108	146	2	nations	nation	NOUN
aps-108	146	3	people	people	NOUN
aps-108	146	4	who	who	PRON
aps-108	146	5	died	die	VERB
aps-108	146	6	from	from	ADP
aps-108	146	7	covid	covid	PROPN
aps-108	146	8	had	have	VERB
aps-108	146	9	an	an	DET
aps-108	146	10	average	average	NOUN
aps-108	146	11	of	of	ADP
aps-108	146	12	3.9	3.9	NUM
aps-108	146	13	conditions	condition	NOUN
aps-108	146	14	listed	list	VERB
aps-108	146	15	on	on	ADP
aps-108	146	16	the	the	DET
aps-108	146	17	death	death	NOUN
aps-108	146	18	certificate	certificate	NOUN
aps-108	146	19	.	.	PUNCT
aps-108	147	1	this	this	PRON
aps-108	147	2	compares	compare	VERB
aps-108	147	3	to	to	ADP
aps-108	147	4	an	an	DET
aps-108	147	5	average	average	NOUN
aps-108	147	6	of	of	ADP
aps-108	147	7	3.4	3.4	NUM
aps-108	147	8	conditions	condition	NOUN
aps-108	147	9	on	on	ADP
aps-108	147	10	the	the	DET
aps-108	147	11	death	death	NOUN
aps-108	147	12	certificate	certificate	NOUN
aps-108	147	13	among	among	ADP
aps-108	147	14	nonindigenous	nonindigenous	ADJ
aps-108	147	15	people	people	NOUN
aps-108	147	16	.	.	PUNCT
aps-108	148	1	according	accord	VERB
aps-108	148	2	to	to	ADP
aps-108	148	3	the	the	DET
aps-108	148	4	latest	late	ADJ
aps-108	148	5	closing	closing	NOUN
aps-108	148	6	the	the	DET
aps-108	148	7	gap	gap	NOUN
aps-108	148	8	report	report	NOUN
aps-108	148	9	,	,	PUNCT
aps-108	148	10	the	the	DET
aps-108	148	11	life	life	NOUN
aps-108	148	12	expectancy	expectancy	NOUN
aps-108	148	13	gap	gap	NOUN
aps-108	148	14	between	between	ADP
aps-108	148	15	first	first	ADJ
aps-108	148	16	nations	nation	NOUN
aps-108	148	17	and	and	CCONJ
aps-108	148	18	non	non	ADJ
aps-108	148	19	-	-	ADJ
aps-108	148	20	indigenous	indigenous	ADJ
aps-108	148	21	australians	australian	NOUN
aps-108	148	22	is	be	AUX
aps-108	148	23	8.6	8.6	NUM
aps-108	148	24	years	year	NOUN
aps-108	148	25	for	for	ADP
aps-108	148	26	males	male	NOUN
aps-108	148	27	and	and	CCONJ
aps-108	148	28	7.8	7.8	NUM
aps-108	148	29	years	year	NOUN
aps-108	148	30	for	for	ADP
aps-108	148	31	females	female	NOUN
aps-108	148	32	(	(	PUNCT
aps-108	148	33	australian	australian	ADJ
aps-108	148	34	government	government	NOUN
aps-108	148	35	2022	2022	NUM
aps-108	148	36	)	)	PUNCT
aps-108	148	37	.	.	PUNCT
aps-108	149	1	the	the	DET
aps-108	149	2	disproportionate	disproportionate	ADJ
aps-108	149	3	mortality	mortality	NOUN
aps-108	149	4	impact	impact	NOUN
aps-108	149	5	of	of	ADP
aps-108	149	6	covid	covid	PROPN
aps-108	149	7	on	on	ADP
aps-108	149	8	first	first	ADJ
aps-108	149	9	nations	nation	NOUN
aps-108	149	10	australians	australian	NOUN
aps-108	149	11	has	have	AUX
aps-108	149	12	served	serve	VERB
aps-108	149	13	to	to	PART
aps-108	149	14	widen	widen	VERB
aps-108	149	15	this	this	DET
aps-108	149	16	disparity	disparity	NOUN
aps-108	149	17	.	.	PUNCT
aps-108	150	1	figure	figure	NOUN
aps-108	150	2	5	5	NUM
aps-108	150	3	:	:	PUNCT
aps-108	150	4	covid	covid	PROPN
aps-108	150	5	mortality	mortality	NOUN
aps-108	150	6	by	by	ADP
aps-108	150	7	indigenous	indigenous	ADJ
aps-108	150	8	status	status	NOUN
aps-108	150	9	(	(	PUNCT
aps-108	150	10	includes	include	VERB
aps-108	150	11	deaths	death	NOUN
aps-108	150	12	with	with	ADP
aps-108	150	13	and	and	CCONJ
aps-108	150	14	from	from	ADP
aps-108	150	15	covid	covid	PROPN
aps-108	150	16	)	)	PUNCT
aps-108	150	17	source	source	NOUN
aps-108	150	18	:	:	PUNCT
aps-108	150	19	australian	australian	ADJ
aps-108	150	20	bureau	bureau	NOUN
aps-108	150	21	of	of	ADP
aps-108	150	22	statistics	statistic	NOUN
aps-108	150	23	note	note	VERB
aps-108	150	24	:	:	PUNCT
aps-108	150	25	deaths	death	NOUN
aps-108	150	26	from	from	ADP
aps-108	150	27	or	or	CCONJ
aps-108	150	28	with	with	ADP
aps-108	150	29	covid	covid	PROPN
aps-108	150	30	among	among	ADP
aps-108	150	31	first	first	ADJ
aps-108	150	32	nations	nation	NOUN
aps-108	150	33	people	people	NOUN
aps-108	150	34	,	,	PUNCT
aps-108	150	35	age	age	NOUN
aps-108	150	36	-	-	PUNCT
aps-108	150	37	standardised	standardise	VERB
aps-108	150	38	death	death	NOUN
aps-108	150	39	rate	rate	NOUN
aps-108	150	40	,	,	PUNCT
aps-108	150	41	deaths	death	NOUN
aps-108	150	42	registered	register	VERB
aps-108	150	43	by	by	ADP
aps-108	150	44	30	30	NUM
aps-108	150	45	september	september	PROPN
aps-108	150	46	2022	2022	NUM
aps-108	150	47	5	5	NUM
aps-108	150	48	.	.	PUNCT
aps-108	151	1	inequality	inequality	NOUN
aps-108	151	2	in	in	ADP
aps-108	151	3	covid	covid	PROPN
aps-108	151	4	mortality	mortality	NOUN
aps-108	151	5	–	–	PUNCT
aps-108	151	6	how	how	SCONJ
aps-108	151	7	australia	australia	PROPN
aps-108	151	8	compares	compare	VERB
aps-108	151	9	an	an	DET
aps-108	151	10	unequal	unequal	ADJ
aps-108	151	11	distribution	distribution	NOUN
aps-108	151	12	of	of	ADP
aps-108	151	13	covid	covid	PROPN
aps-108	151	14	mortality	mortality	NOUN
aps-108	151	15	is	be	AUX
aps-108	151	16	not	not	PART
aps-108	151	17	unique	unique	ADJ
aps-108	151	18	to	to	ADP
aps-108	151	19	australia	australia	PROPN
aps-108	151	20	.	.	PUNCT
aps-108	152	1	in	in	ADP
aps-108	152	2	the	the	DET
aps-108	152	3	us	us	PROPN
aps-108	152	4	,	,	PUNCT
aps-108	152	5	demographers	demographer	NOUN
aps-108	152	6	from	from	ADP
aps-108	152	7	the	the	DET
aps-108	152	8	university	university	PROPN
aps-108	152	9	of	of	ADP
aps-108	152	10	california	california	PROPN
aps-108	152	11	,	,	PUNCT
aps-108	152	12	berkeley	berkeley	PROPN
aps-108	152	13	,	,	PUNCT
aps-108	152	14	found	find	VERB
aps-108	152	15	that	that	SCONJ
aps-108	152	16	in	in	ADP
aps-108	152	17	the	the	DET
aps-108	152	18	first	first	ADJ
aps-108	152	19	wave	wave	NOUN
aps-108	152	20	,	,	PUNCT
aps-108	152	21	between	between	ADP
aps-108	152	22	march	march	PROPN
aps-108	152	23	and	and	CCONJ
aps-108	152	24	may	may	AUX
aps-108	152	25	of	of	ADP
aps-108	152	26	2020	2020	NUM
aps-108	152	27	,	,	PUNCT
aps-108	152	28	covid	covid	PROPN
aps-108	152	29	mortality	mortality	NOUN
aps-108	152	30	was	be	AUX
aps-108	152	31	highest	high	ADJ
aps-108	152	32	in	in	ADP
aps-108	152	33	the	the	DET
aps-108	152	34	most	most	ADV
aps-108	152	35	advantaged	advantaged	ADJ
aps-108	152	36	counties	county	NOUN
aps-108	152	37	(	(	PUNCT
aps-108	152	38	dukhovnov	dukhovnov	NOUN
aps-108	152	39	and	and	CCONJ
aps-108	152	40	barbieri	barbieri	PROPN
aps-108	152	41	2022	2022	NUM
aps-108	152	42	)	)	PUNCT
aps-108	152	43	.	.	PUNCT
aps-108	153	1	this	this	DET
aps-108	153	2	pattern	pattern	NOUN
aps-108	153	3	may	may	AUX
aps-108	153	4	reflect	reflect	VERB
aps-108	153	5	the	the	DET
aps-108	153	6	significantly	significantly	ADV
aps-108	153	7	higher	high	ADJ
aps-108	153	8	spread	spread	NOUN
aps-108	153	9	of	of	ADP
aps-108	153	10	the	the	DET
aps-108	153	11	virus	virus	NOUN
aps-108	153	12	in	in	ADP
aps-108	153	13	the	the	DET
aps-108	153	14	north	north	NOUN
aps-108	153	15	-	-	PUNCT
aps-108	153	16	east	east	NOUN
aps-108	153	17	of	of	ADP
aps-108	153	18	the	the	DET
aps-108	153	19	united	united	PROPN
aps-108	153	20	states	states	PROPN
aps-108	153	21	,	,	PUNCT
aps-108	153	22	particularly	particularly	ADV
aps-108	153	23	new	new	PROPN
aps-108	153	24	york	york	PROPN
aps-108	153	25	.	.	PUNCT
aps-108	154	1	over	over	ADP
aps-108	154	2	the	the	DET
aps-108	154	3	second	second	ADJ
aps-108	154	4	half	half	NOUN
aps-108	154	5	of	of	ADP
aps-108	154	6	2020	2020	NUM
aps-108	154	7	this	this	DET
aps-108	154	8	pattern	pattern	NOUN
aps-108	154	9	reversed	reverse	VERB
aps-108	154	10	,	,	PUNCT
aps-108	154	11	such	such	ADJ
aps-108	154	12	that	that	SCONJ
aps-108	154	13	covid	covid	PROPN
aps-108	154	14	mortality	mortality	NOUN
aps-108	154	15	rates	rate	NOUN
aps-108	154	16	were	be	AUX
aps-108	154	17	2.6	2.6	NUM
aps-108	154	18	times	time	NOUN
aps-108	154	19	higher	high	ADJ
aps-108	154	20	in	in	ADP
aps-108	154	21	the	the	DET
aps-108	154	22	most	most	ADV
aps-108	154	23	disadvantaged	disadvantaged	ADJ
aps-108	154	24	quintile	quintile	NOUN
aps-108	154	25	than	than	ADP
aps-108	154	26	in	in	ADP
aps-108	154	27	the	the	DET
aps-108	154	28	least	least	ADJ
aps-108	154	29	.	.	PUNCT
aps-108	155	1	this	this	PRON
aps-108	155	2	is	be	AUX
aps-108	155	3	close	close	ADJ
aps-108	155	4	to	to	ADP
aps-108	155	5	the	the	DET
aps-108	155	6	australian	australian	ADJ
aps-108	155	7	figure	figure	NOUN
aps-108	155	8	of	of	ADP
aps-108	155	9	2.3	2.3	NUM
aps-108	155	10	for	for	ADP
aps-108	155	11	the	the	DET
aps-108	155	12	entirety	entirety	NOUN
aps-108	155	13	of	of	ADP
aps-108	155	14	2020	2020	NUM
aps-108	155	15	.	.	PUNCT
aps-108	156	1	across	across	ADP
aps-108	156	2	the	the	DET
aps-108	156	3	entire	entire	ADJ
aps-108	156	4	period	period	NOUN
aps-108	156	5	from	from	ADP
aps-108	156	6	2020	2020	NUM
aps-108	156	7	to	to	ADP
aps-108	156	8	2022	2022	NUM
aps-108	156	9	,	,	PUNCT
aps-108	156	10	the	the	DET
aps-108	156	11	mortality	mortality	NOUN
aps-108	156	12	burden	burden	NOUN
aps-108	156	13	in	in	ADP
aps-108	156	14	the	the	DET
aps-108	156	15	united	united	PROPN
aps-108	156	16	states	states	PROPN
aps-108	156	17	has	have	AUX
aps-108	156	18	fallen	fall	VERB
aps-108	156	19	most	most	ADV
aps-108	156	20	heavily	heavily	ADV
aps-108	156	21	on	on	ADP
aps-108	156	22	the	the	DET
aps-108	156	23	most	most	ADV
aps-108	156	24	disadvantaged	disadvantaged	ADJ
aps-108	156	25	.	.	PUNCT
aps-108	157	1	42	42	NUM
aps-108	157	2	leigh	leigh	ADJ
aps-108	157	3	australian	australian	ADJ
aps-108	157	4	population	population	NOUN
aps-108	157	5	studies	study	NOUN
aps-108	157	6	6	6	NUM
aps-108	157	7	(	(	PUNCT
aps-108	157	8	2	2	NUM
aps-108	157	9	)	)	PUNCT
aps-108	157	10	2022	2022	NUM
aps-108	157	11	in	in	ADP
aps-108	157	12	the	the	DET
aps-108	157	13	uk	uk	PROPN
aps-108	157	14	,	,	PUNCT
aps-108	157	15	those	those	PRON
aps-108	157	16	born	bear	VERB
aps-108	157	17	overseas	overseas	ADV
aps-108	157	18	had	have	VERB
aps-108	157	19	higher	high	ADJ
aps-108	157	20	death	death	NOUN
aps-108	157	21	rates	rate	NOUN
aps-108	157	22	(	(	PUNCT
aps-108	157	23	ons	ons	NOUN
aps-108	157	24	2022	2022	NUM
aps-108	157	25	)	)	PUNCT
aps-108	157	26	.	.	PUNCT
aps-108	158	1	during	during	ADP
aps-108	158	2	the	the	DET
aps-108	158	3	first	first	ADJ
aps-108	158	4	wave	wave	NOUN
aps-108	158	5	of	of	ADP
aps-108	158	6	the	the	DET
aps-108	158	7	pandemic	pandemic	ADJ
aps-108	158	8	,	,	PUNCT
aps-108	158	9	people	people	NOUN
aps-108	158	10	from	from	ADP
aps-108	158	11	ethnic	ethnic	ADJ
aps-108	158	12	minority	minority	NOUN
aps-108	158	13	groups	group	NOUN
aps-108	158	14	generally	generally	ADV
aps-108	158	15	had	have	VERB
aps-108	158	16	higher	high	ADJ
aps-108	158	17	rates	rate	NOUN
aps-108	158	18	of	of	ADP
aps-108	158	19	death	death	NOUN
aps-108	158	20	involving	involve	VERB
aps-108	158	21	covid	covid	PROPN
aps-108	158	22	compared	compare	VERB
aps-108	158	23	with	with	ADP
aps-108	158	24	the	the	DET
aps-108	158	25	white	white	ADJ
aps-108	158	26	british	british	ADJ
aps-108	158	27	population	population	NOUN
aps-108	158	28	.	.	PUNCT
aps-108	159	1	in	in	ADP
aps-108	159	2	the	the	DET
aps-108	159	3	first	first	ADJ
aps-108	159	4	wave	wave	NOUN
aps-108	159	5	,	,	PUNCT
aps-108	159	6	the	the	DET
aps-108	159	7	rate	rate	NOUN
aps-108	159	8	of	of	ADP
aps-108	159	9	death	death	NOUN
aps-108	159	10	for	for	ADP
aps-108	159	11	the	the	DET
aps-108	159	12	black	black	ADJ
aps-108	159	13	african	african	ADJ
aps-108	159	14	group	group	NOUN
aps-108	159	15	was	be	AUX
aps-108	159	16	2.7	2.7	NUM
aps-108	159	17	times	time	NOUN
aps-108	159	18	greater	great	ADJ
aps-108	159	19	than	than	ADP
aps-108	159	20	the	the	DET
aps-108	159	21	white	white	ADJ
aps-108	159	22	british	british	ADJ
aps-108	159	23	group	group	NOUN
aps-108	159	24	for	for	ADP
aps-108	159	25	males	male	NOUN
aps-108	159	26	,	,	PUNCT
aps-108	159	27	and	and	CCONJ
aps-108	159	28	2.6	2.6	NUM
aps-108	159	29	greater	great	ADJ
aps-108	159	30	for	for	ADP
aps-108	159	31	females	female	NOUN
aps-108	159	32	.	.	PUNCT
aps-108	160	1	this	this	DET
aps-108	160	2	ratio	ratio	NOUN
aps-108	160	3	is	be	AUX
aps-108	160	4	similar	similar	ADJ
aps-108	160	5	to	to	ADP
aps-108	160	6	the	the	DET
aps-108	160	7	difference	difference	NOUN
aps-108	160	8	observed	observe	VERB
aps-108	160	9	in	in	ADP
aps-108	160	10	australia	australia	PROPN
aps-108	160	11	between	between	ADP
aps-108	160	12	overseas	overseas	ADV
aps-108	160	13	born	bear	VERB
aps-108	160	14	and	and	CCONJ
aps-108	160	15	australian	australian	ADJ
aps-108	160	16	born	bear	VERB
aps-108	160	17	people	people	NOUN
aps-108	160	18	during	during	ADP
aps-108	160	19	the	the	DET
aps-108	160	20	first	first	ADJ
aps-108	160	21	2	2	NUM
aps-108	160	22	years	year	NOUN
aps-108	160	23	of	of	ADP
aps-108	160	24	the	the	DET
aps-108	160	25	pandemic	pandemic	NOUN
aps-108	160	26	.	.	PUNCT
aps-108	161	1	in	in	ADP
aps-108	161	2	the	the	DET
aps-108	161	3	second	second	ADJ
aps-108	161	4	covid	covid	PROPN
aps-108	161	5	wave	wave	NOUN
aps-108	161	6	,	,	PUNCT
aps-108	161	7	british	british	ADJ
aps-108	161	8	people	people	NOUN
aps-108	161	9	of	of	ADP
aps-108	161	10	bangladeshi	bangladeshi	PROPN
aps-108	161	11	ancestry	ancestry	NOUN
aps-108	161	12	had	have	VERB
aps-108	161	13	the	the	DET
aps-108	161	14	highest	high	ADJ
aps-108	161	15	rates	rate	NOUN
aps-108	161	16	,	,	PUNCT
aps-108	161	17	5.0	5.0	NUM
aps-108	161	18	and	and	CCONJ
aps-108	161	19	4.5	4.5	NUM
aps-108	161	20	times	time	NOUN
aps-108	161	21	greater	great	ADJ
aps-108	161	22	than	than	ADP
aps-108	161	23	for	for	ADP
aps-108	161	24	white	white	ADJ
aps-108	161	25	british	british	ADJ
aps-108	161	26	males	male	NOUN
aps-108	161	27	and	and	CCONJ
aps-108	161	28	females	female	NOUN
aps-108	161	29	respectively	respectively	ADV
aps-108	161	30	.	.	PUNCT
aps-108	162	1	after	after	ADP
aps-108	162	2	adjusting	adjust	VERB
aps-108	162	3	for	for	ADP
aps-108	162	4	location	location	NOUN
aps-108	162	5	–	–	PUNCT
aps-108	162	6	measures	measure	NOUN
aps-108	162	7	of	of	ADP
aps-108	162	8	disadvantage	disadvantage	NOUN
aps-108	162	9	,	,	PUNCT
aps-108	162	10	occupation	occupation	NOUN
aps-108	162	11	,	,	PUNCT
aps-108	162	12	living	living	NOUN
aps-108	162	13	arrangements	arrangement	NOUN
aps-108	162	14	,	,	PUNCT
aps-108	162	15	and	and	CCONJ
aps-108	162	16	pre	pre	ADJ
aps-108	162	17	-	-	ADJ
aps-108	162	18	existing	exist	VERB
aps-108	162	19	health	health	NOUN
aps-108	162	20	conditions	condition	NOUN
aps-108	162	21	accounted	account	VERB
aps-108	162	22	for	for	ADP
aps-108	162	23	a	a	DET
aps-108	162	24	large	large	ADJ
aps-108	162	25	proportion	proportion	NOUN
aps-108	162	26	of	of	ADP
aps-108	162	27	the	the	DET
aps-108	162	28	excess	excess	ADJ
aps-108	162	29	covid	covid	NOUN
aps-108	162	30	mortality	mortality	NOUN
aps-108	162	31	risk	risk	NOUN
aps-108	162	32	in	in	ADP
aps-108	162	33	most	most	ADJ
aps-108	162	34	ethnic	ethnic	ADJ
aps-108	162	35	groups	group	NOUN
aps-108	162	36	.	.	PUNCT
aps-108	163	1	although	although	SCONJ
aps-108	163	2	even	even	ADV
aps-108	163	3	after	after	ADP
aps-108	163	4	accounting	account	VERB
aps-108	163	5	for	for	ADP
aps-108	163	6	these	these	DET
aps-108	163	7	factors	factor	NOUN
aps-108	163	8	,	,	PUNCT
aps-108	163	9	most	most	ADV
aps-108	163	10	black	black	ADJ
aps-108	163	11	and	and	CCONJ
aps-108	163	12	south	south	ADJ
aps-108	163	13	asian	asian	ADJ
aps-108	163	14	groups	group	NOUN
aps-108	163	15	remained	remain	VERB
aps-108	163	16	at	at	ADP
aps-108	163	17	higher	high	ADJ
aps-108	163	18	risk	risk	NOUN
aps-108	163	19	.	.	PUNCT
aps-108	164	1	in	in	ADP
aps-108	164	2	canada	canada	PROPN
aps-108	164	3	,	,	PUNCT
aps-108	164	4	some	some	DET
aps-108	164	5	neighbourhoods	neighbourhood	NOUN
aps-108	164	6	had	have	VERB
aps-108	164	7	noticeably	noticeably	ADV
aps-108	164	8	higher	high	ADJ
aps-108	164	9	age	age	NOUN
aps-108	164	10	standardised	standardise	VERB
aps-108	164	11	covid	covid	PROPN
aps-108	164	12	death	death	NOUN
aps-108	164	13	rates	rate	NOUN
aps-108	164	14	in	in	ADP
aps-108	164	15	2020	2020	NUM
aps-108	164	16	(	(	PUNCT
aps-108	164	17	subedi	subedi	NOUN
aps-108	164	18	and	and	CCONJ
aps-108	164	19	aitken	aitken	PROPN
aps-108	164	20	2022	2022	NUM
aps-108	164	21	)	)	PUNCT
aps-108	164	22	.	.	PUNCT
aps-108	165	1	the	the	DET
aps-108	165	2	densely	densely	ADV
aps-108	165	3	populated	populated	ADJ
aps-108	165	4	urban	urban	ADJ
aps-108	165	5	neighbourhoods	neighbourhood	NOUN
aps-108	165	6	,	,	PUNCT
aps-108	165	7	characterised	characterise	VERB
aps-108	165	8	by	by	ADP
aps-108	165	9	very	very	ADV
aps-108	165	10	high	high	ADJ
aps-108	165	11	proportions	proportion	NOUN
aps-108	165	12	of	of	ADP
aps-108	165	13	migrants	migrant	NOUN
aps-108	165	14	,	,	PUNCT
aps-108	165	15	lone	lone	ADJ
aps-108	165	16	-	-	PUNCT
aps-108	165	17	parent	parent	NOUN
aps-108	165	18	families	family	NOUN
aps-108	165	19	,	,	PUNCT
aps-108	165	20	and	and	CCONJ
aps-108	165	21	low	low	ADJ
aps-108	165	22	-	-	PUNCT
aps-108	165	23	income	income	NOUN
aps-108	165	24	families	family	NOUN
aps-108	165	25	had	have	VERB
aps-108	165	26	significantly	significantly	ADV
aps-108	165	27	higher	high	ADJ
aps-108	165	28	covid	covid	PROPN
aps-108	165	29	mortality	mortality	NOUN
aps-108	165	30	rates	rate	NOUN
aps-108	165	31	than	than	ADP
aps-108	165	32	other	other	ADJ
aps-108	165	33	neighbourhoods	neighbourhood	NOUN
aps-108	165	34	.	.	PUNCT
aps-108	166	1	death	death	NOUN
aps-108	166	2	rates	rate	NOUN
aps-108	166	3	in	in	ADP
aps-108	166	4	these	these	DET
aps-108	166	5	neighbourhoods	neighbourhood	NOUN
aps-108	166	6	were	be	AUX
aps-108	166	7	almost	almost	ADV
aps-108	166	8	twice	twice	ADV
aps-108	166	9	as	as	ADV
aps-108	166	10	high	high	ADJ
aps-108	166	11	as	as	ADP
aps-108	166	12	in	in	ADP
aps-108	166	13	high	high	ADJ
aps-108	166	14	socio	socio	NOUN
aps-108	166	15	-	-	PUNCT
aps-108	166	16	economic	economic	ADJ
aps-108	166	17	status	status	NOUN
aps-108	166	18	urban	urban	ADJ
aps-108	166	19	neighbourhoods	neighbourhood	NOUN
aps-108	166	20	.	.	PUNCT
aps-108	167	1	what	what	PRON
aps-108	167	2	might	might	AUX
aps-108	167	3	account	account	VERB
aps-108	167	4	for	for	ADP
aps-108	167	5	these	these	DET
aps-108	167	6	differences	difference	NOUN
aps-108	167	7	?	?	PUNCT
aps-108	168	1	us	we	PRON
aps-108	168	2	researchers	researcher	NOUN
aps-108	168	3	have	have	AUX
aps-108	168	4	hypothesised	hypothesise	VERB
aps-108	168	5	that	that	SCONJ
aps-108	168	6	mortality	mortality	NOUN
aps-108	168	7	rates	rate	NOUN
aps-108	168	8	may	may	AUX
aps-108	168	9	be	be	AUX
aps-108	168	10	higher	high	ADJ
aps-108	168	11	among	among	ADP
aps-108	168	12	low	low	ADJ
aps-108	168	13	-	-	PUNCT
aps-108	168	14	income	income	NOUN
aps-108	168	15	populations	population	NOUN
aps-108	168	16	because	because	SCONJ
aps-108	168	17	they	they	PRON
aps-108	168	18	are	be	AUX
aps-108	168	19	over	over	ADV
aps-108	168	20	represented	represent	VERB
aps-108	168	21	in	in	ADP
aps-108	168	22	the	the	DET
aps-108	168	23	essential	essential	ADJ
aps-108	168	24	workforce	workforce	NOUN
aps-108	168	25	and	and	CCONJ
aps-108	168	26	economic	economic	ADJ
aps-108	168	27	sectors	sector	NOUN
aps-108	168	28	in	in	ADP
aps-108	168	29	which	which	PRON
aps-108	168	30	it	it	PRON
aps-108	168	31	is	be	AUX
aps-108	168	32	difficult	difficult	ADJ
aps-108	168	33	to	to	PART
aps-108	168	34	work	work	VERB
aps-108	168	35	remotely	remotely	ADV
aps-108	168	36	,	,	PUNCT
aps-108	168	37	thereby	thereby	ADV
aps-108	168	38	increasing	increase	VERB
aps-108	168	39	their	their	PRON
aps-108	168	40	exposure	exposure	NOUN
aps-108	168	41	to	to	PART
aps-108	168	42	covid	covid	PROPN
aps-108	168	43	(	(	PUNCT
aps-108	168	44	dukhovnov	dukhovnov	NOUN
aps-108	168	45	and	and	CCONJ
aps-108	168	46	barbieri	barbieri	PROPN
aps-108	168	47	2022	2022	NUM
aps-108	168	48	)	)	PUNCT
aps-108	168	49	.	.	PUNCT
aps-108	169	1	in	in	ADP
aps-108	169	2	addition	addition	NOUN
aps-108	169	3	,	,	PUNCT
aps-108	169	4	low	low	ADJ
aps-108	169	5	-	-	PUNCT
aps-108	169	6	income	income	NOUN
aps-108	169	7	people	people	NOUN
aps-108	169	8	rely	rely	VERB
aps-108	169	9	more	more	ADV
aps-108	169	10	on	on	ADP
aps-108	169	11	public	public	ADJ
aps-108	169	12	transport	transport	NOUN
aps-108	169	13	and	and	CCONJ
aps-108	169	14	are	be	AUX
aps-108	169	15	more	more	ADV
aps-108	169	16	likely	likely	ADJ
aps-108	169	17	to	to	PART
aps-108	169	18	live	live	VERB
aps-108	169	19	in	in	ADP
aps-108	169	20	large	large	ADJ
aps-108	169	21	and	and	CCONJ
aps-108	169	22	multigenerational	multigenerational	ADJ
aps-108	169	23	households	household	NOUN
aps-108	169	24	.	.	PUNCT
aps-108	170	1	6	6	X
aps-108	170	2	.	.	X
aps-108	170	3	conclusion	conclusion	NOUN
aps-108	170	4	as	as	SCONJ
aps-108	170	5	we	we	PRON
aps-108	170	6	have	have	AUX
aps-108	170	7	seen	see	VERB
aps-108	170	8	,	,	PUNCT
aps-108	170	9	the	the	DET
aps-108	170	10	mortality	mortality	NOUN
aps-108	170	11	impact	impact	NOUN
aps-108	170	12	of	of	ADP
aps-108	170	13	the	the	DET
aps-108	170	14	covid	covid	PROPN
aps-108	170	15	pandemic	pandemic	PROPN
aps-108	170	16	has	have	AUX
aps-108	170	17	been	be	AUX
aps-108	170	18	felt	feel	VERB
aps-108	170	19	unevenly	unevenly	ADV
aps-108	170	20	across	across	ADP
aps-108	170	21	socioeconomic	socioeconomic	ADJ
aps-108	170	22	groups	group	NOUN
aps-108	170	23	in	in	ADP
aps-108	170	24	australia	australia	PROPN
aps-108	170	25	.	.	PUNCT
aps-108	171	1	this	this	PRON
aps-108	171	2	should	should	AUX
aps-108	171	3	not	not	PART
aps-108	171	4	have	have	AUX
aps-108	171	5	been	be	AUX
aps-108	171	6	a	a	DET
aps-108	171	7	surprise	surprise	NOUN
aps-108	171	8	,	,	PUNCT
aps-108	171	9	since	since	SCONJ
aps-108	171	10	there	there	PRON
aps-108	171	11	were	be	VERB
aps-108	171	12	uneven	uneven	ADJ
aps-108	171	13	mortality	mortality	NOUN
aps-108	171	14	outcomes	outcome	NOUN
aps-108	171	15	across	across	ADP
aps-108	171	16	socio	socio	VERB
aps-108	171	17	economic	economic	ADJ
aps-108	171	18	groups	group	NOUN
aps-108	171	19	in	in	ADP
aps-108	171	20	australia	australia	PROPN
aps-108	171	21	well	well	ADV
aps-108	171	22	before	before	ADP
aps-108	171	23	covid	covid	PROPN
aps-108	171	24	.	.	PUNCT
aps-108	172	1	across	across	ADP
aps-108	172	2	a	a	DET
aps-108	172	3	range	range	NOUN
aps-108	172	4	of	of	ADP
aps-108	172	5	indicators	indicator	NOUN
aps-108	172	6	,	,	PUNCT
aps-108	172	7	it	it	PRON
aps-108	172	8	appears	appear	VERB
aps-108	172	9	that	that	SCONJ
aps-108	172	10	the	the	DET
aps-108	172	11	disparity	disparity	NOUN
aps-108	172	12	was	be	AUX
aps-108	172	13	worse	bad	ADJ
aps-108	172	14	in	in	ADP
aps-108	172	15	2021	2021	NUM
aps-108	172	16	than	than	ADP
aps-108	172	17	in	in	ADP
aps-108	172	18	2020	2020	NUM
aps-108	172	19	or	or	CCONJ
aps-108	172	20	2022	2022	NUM
aps-108	172	21	.	.	PUNCT
aps-108	173	1	the	the	DET
aps-108	173	2	mortality	mortality	NOUN
aps-108	173	3	ratios	ratio	NOUN
aps-108	173	4	from	from	ADP
aps-108	173	5	covid	covid	PROPN
aps-108	173	6	in	in	ADP
aps-108	173	7	australia	australia	PROPN
aps-108	173	8	are	be	AUX
aps-108	173	9	quite	quite	ADV
aps-108	173	10	similar	similar	ADJ
aps-108	173	11	to	to	ADP
aps-108	173	12	those	those	PRON
aps-108	173	13	estimated	estimate	VERB
aps-108	173	14	in	in	ADP
aps-108	173	15	other	other	ADJ
aps-108	173	16	advanced	advanced	ADJ
aps-108	173	17	nations	nation	NOUN
aps-108	173	18	.	.	PUNCT
aps-108	174	1	as	as	ADP
aps-108	174	2	a	a	DET
aps-108	174	3	share	share	NOUN
aps-108	174	4	of	of	ADP
aps-108	174	5	the	the	DET
aps-108	174	6	population	population	NOUN
aps-108	174	7	,	,	PUNCT
aps-108	174	8	fewer	few	ADJ
aps-108	174	9	people	people	NOUN
aps-108	174	10	died	die	VERB
aps-108	174	11	from	from	ADP
aps-108	174	12	covid	covid	PROPN
aps-108	174	13	in	in	ADP
aps-108	174	14	australia	australia	PROPN
aps-108	174	15	than	than	ADP
aps-108	174	16	in	in	ADP
aps-108	174	17	most	most	ADJ
aps-108	174	18	other	other	ADJ
aps-108	174	19	affluent	affluent	ADJ
aps-108	174	20	nations	nation	NOUN
aps-108	174	21	.	.	PUNCT
aps-108	175	1	yet	yet	ADV
aps-108	175	2	among	among	ADP
aps-108	175	3	those	those	PRON
aps-108	175	4	who	who	PRON
aps-108	175	5	died	die	VERB
aps-108	175	6	,	,	PUNCT
aps-108	175	7	the	the	DET
aps-108	175	8	same	same	ADJ
aps-108	175	9	health	health	NOUN
aps-108	175	10	inequalities	inequality	NOUN
aps-108	175	11	can	can	AUX
aps-108	175	12	be	be	AUX
aps-108	175	13	seen	see	VERB
aps-108	175	14	in	in	ADP
aps-108	175	15	australia	australia	PROPN
aps-108	175	16	as	as	ADP
aps-108	175	17	in	in	ADP
aps-108	175	18	other	other	ADJ
aps-108	175	19	advanced	advanced	ADJ
aps-108	175	20	countries	country	NOUN
aps-108	175	21	.	.	PUNCT
aps-108	176	1	what	what	PRON
aps-108	176	2	might	might	AUX
aps-108	176	3	have	have	AUX
aps-108	176	4	driven	drive	VERB
aps-108	176	5	the	the	DET
aps-108	176	6	socioeconomic	socioeconomic	ADJ
aps-108	176	7	disparities	disparity	NOUN
aps-108	176	8	in	in	ADP
aps-108	176	9	covid	covid	PROPN
aps-108	176	10	mortality	mortality	NOUN
aps-108	176	11	?	?	PUNCT
aps-108	177	1	and	and	CCONJ
aps-108	177	2	why	why	SCONJ
aps-108	177	3	might	might	AUX
aps-108	177	4	many	many	ADJ
aps-108	177	5	of	of	ADP
aps-108	177	6	those	those	DET
aps-108	177	7	disparities	disparity	NOUN
aps-108	177	8	have	have	AUX
aps-108	177	9	been	be	AUX
aps-108	177	10	largest	large	ADJ
aps-108	177	11	in	in	ADP
aps-108	177	12	the	the	DET
aps-108	177	13	delta	delta	NOUN
aps-108	177	14	wave	wave	NOUN
aps-108	177	15	?	?	PUNCT
aps-108	178	1	as	as	SCONJ
aps-108	178	2	i	i	PRON
aps-108	178	3	have	have	AUX
aps-108	178	4	noted	note	VERB
aps-108	178	5	,	,	PUNCT
aps-108	178	6	disadvantaged	disadvantaged	ADJ
aps-108	178	7	people	people	NOUN
aps-108	178	8	may	may	AUX
aps-108	178	9	be	be	AUX
aps-108	178	10	less	less	ADV
aps-108	178	11	able	able	ADJ
aps-108	178	12	to	to	PART
aps-108	178	13	work	work	VERB
aps-108	178	14	remotely	remotely	ADV
aps-108	178	15	,	,	PUNCT
aps-108	178	16	more	more	ADV
aps-108	178	17	reliant	reliant	ADJ
aps-108	178	18	on	on	ADP
aps-108	178	19	public	public	ADJ
aps-108	178	20	transport	transport	NOUN
aps-108	178	21	,	,	PUNCT
aps-108	178	22	and	and	CCONJ
aps-108	178	23	more	more	ADV
aps-108	178	24	likely	likely	ADJ
aps-108	178	25	to	to	PART
aps-108	178	26	live	live	VERB
aps-108	178	27	in	in	ADP
aps-108	178	28	crowded	crowded	ADJ
aps-108	178	29	households	household	NOUN
aps-108	178	30	.	.	PUNCT
aps-108	179	1	uptake	uptake	ADJ
aps-108	179	2	of	of	ADP
aps-108	179	3	vaccination	vaccination	NOUN
aps-108	179	4	and	and	CCONJ
aps-108	179	5	antiviral	antiviral	ADJ
aps-108	179	6	treatments	treatment	NOUN
aps-108	179	7	have	have	AUX
aps-108	179	8	varied	vary	VERB
aps-108	179	9	across	across	ADP
aps-108	179	10	society	society	NOUN
aps-108	179	11	as	as	SCONJ
aps-108	179	12	vaccines	vaccine	NOUN
aps-108	179	13	and	and	CCONJ
aps-108	179	14	treatment	treatment	NOUN
aps-108	179	15	became	become	VERB
aps-108	179	16	increasingly	increasingly	ADV
aps-108	179	17	available	available	ADJ
aps-108	179	18	.	.	PUNCT
aps-108	180	1	another	another	DET
aps-108	180	2	factor	factor	NOUN
aps-108	180	3	is	be	AUX
aps-108	180	4	that	that	SCONJ
aps-108	180	5	successive	successive	ADJ
aps-108	180	6	covid	covid	PROPN
aps-108	180	7	waves	wave	NOUN
aps-108	180	8	have	have	AUX
aps-108	180	9	had	have	VERB
aps-108	180	10	varying	vary	VERB
aps-108	180	11	degrees	degree	NOUN
aps-108	180	12	of	of	ADP
aps-108	180	13	severity	severity	NOUN
aps-108	180	14	.	.	PUNCT
aps-108	181	1	a	a	DET
aps-108	181	2	final	final	ADJ
aps-108	181	3	factor	factor	NOUN
aps-108	181	4	is	be	AUX
aps-108	181	5	that	that	SCONJ
aps-108	181	6	in	in	ADP
aps-108	181	7	the	the	DET
aps-108	181	8	years	year	NOUN
aps-108	181	9	since	since	SCONJ
aps-108	181	10	covid	covid	PROPN
aps-108	181	11	began	begin	VERB
aps-108	181	12	,	,	PUNCT
aps-108	181	13	population	population	NOUN
aps-108	181	14	immunity	immunity	NOUN
aps-108	181	15	has	have	AUX
aps-108	181	16	steadily	steadily	ADV
aps-108	181	17	risen	rise	VERB
aps-108	181	18	.	.	PUNCT
aps-108	182	1	although	although	SCONJ
aps-108	182	2	geographic	geographic	ADJ
aps-108	182	3	-	-	PUNCT
aps-108	182	4	level	level	NOUN
aps-108	182	5	measures	measure	NOUN
aps-108	182	6	of	of	ADP
aps-108	182	7	inequality	inequality	NOUN
aps-108	182	8	have	have	AUX
aps-108	182	9	typically	typically	ADV
aps-108	182	10	been	be	AUX
aps-108	182	11	used	use	VERB
aps-108	182	12	in	in	ADP
aps-108	182	13	research	research	NOUN
aps-108	182	14	looking	look	VERB
aps-108	182	15	at	at	ADP
aps-108	182	16	mortality	mortality	NOUN
aps-108	182	17	and	and	CCONJ
aps-108	182	18	health	health	NOUN
aps-108	182	19	outcomes	outcome	NOUN
aps-108	182	20	,	,	PUNCT
aps-108	182	21	they	they	PRON
aps-108	182	22	are	be	AUX
aps-108	182	23	statistically	statistically	ADV
aps-108	182	24	insignificant	insignificant	ADJ
aps-108	182	25	after	after	ADP
aps-108	182	26	controlling	control	VERB
aps-108	182	27	for	for	ADP
aps-108	182	28	individual	individual	ADJ
aps-108	182	29	-	-	PUNCT
aps-108	182	30	level	level	NOUN
aps-108	182	31	australian	australian	ADJ
aps-108	182	32	population	population	NOUN
aps-108	182	33	studies	study	NOUN
aps-108	182	34	6	6	NUM
aps-108	182	35	(	(	PUNCT
aps-108	182	36	2	2	NUM
aps-108	182	37	)	)	PUNCT
aps-108	182	38	2022	2022	NUM
aps-108	182	39	leigh	leigh	NOUN
aps-108	182	40	43	43	NUM
aps-108	182	41	measures	measure	NOUN
aps-108	182	42	of	of	ADP
aps-108	182	43	socio	socio	NOUN
aps-108	182	44	-	-	PUNCT
aps-108	182	45	economic	economic	ADJ
aps-108	182	46	status	status	NOUN
aps-108	182	47	(	(	PUNCT
aps-108	182	48	clarke	clarke	PROPN
aps-108	182	49	and	and	CCONJ
aps-108	182	50	leigh	leigh	PROPN
aps-108	182	51	2011	2011	NUM
aps-108	182	52	)	)	PUNCT
aps-108	182	53	.	.	PUNCT
aps-108	183	1	this	this	PRON
aps-108	183	2	means	mean	VERB
aps-108	183	3	that	that	SCONJ
aps-108	183	4	individual	individual	ADJ
aps-108	183	5	-	-	PUNCT
aps-108	183	6	level	level	NOUN
aps-108	183	7	measures	measure	NOUN
aps-108	183	8	like	like	ADP
aps-108	183	9	household	household	NOUN
aps-108	183	10	income	income	NOUN
aps-108	183	11	and	and	CCONJ
aps-108	183	12	educational	educational	ADJ
aps-108	183	13	attainment	attainment	NOUN
aps-108	183	14	should	should	AUX
aps-108	183	15	be	be	AUX
aps-108	183	16	the	the	DET
aps-108	183	17	preferred	preferred	ADJ
aps-108	183	18	measure	measure	NOUN
aps-108	183	19	we	we	PRON
aps-108	183	20	use	use	VERB
aps-108	183	21	in	in	ADP
aps-108	183	22	health	health	NOUN
aps-108	183	23	research	research	NOUN
aps-108	183	24	.	.	PUNCT
aps-108	184	1	however	however	ADV
aps-108	184	2	,	,	PUNCT
aps-108	184	3	this	this	DET
aps-108	184	4	data	data	NOUN
aps-108	184	5	is	be	AUX
aps-108	184	6	not	not	PART
aps-108	184	7	always	always	ADV
aps-108	184	8	available	available	ADJ
aps-108	184	9	,	,	PUNCT
aps-108	184	10	which	which	PRON
aps-108	184	11	makes	make	VERB
aps-108	184	12	it	it	PRON
aps-108	184	13	necessary	necessary	ADJ
aps-108	184	14	to	to	PART
aps-108	184	15	look	look	VERB
aps-108	184	16	at	at	ADP
aps-108	184	17	other	other	ADJ
aps-108	184	18	measures	measure	NOUN
aps-108	184	19	,	,	PUNCT
aps-108	184	20	such	such	ADJ
aps-108	184	21	as	as	ADP
aps-108	184	22	neighbourhood	neighbourhood	NOUN
aps-108	184	23	seifa	seifa	NOUN
aps-108	184	24	indices	index	NOUN
aps-108	184	25	.	.	PUNCT
aps-108	185	1	as	as	ADP
aps-108	185	2	the	the	DET
aps-108	185	3	minister	minister	NOUN
aps-108	185	4	with	with	ADP
aps-108	185	5	responsibility	responsibility	NOUN
aps-108	185	6	for	for	ADP
aps-108	185	7	the	the	DET
aps-108	185	8	abs	ab	NOUN
aps-108	185	9	,	,	PUNCT
aps-108	185	10	i	i	PRON
aps-108	185	11	am	be	AUX
aps-108	185	12	proud	proud	ADJ
aps-108	185	13	to	to	PART
aps-108	185	14	see	see	VERB
aps-108	185	15	it	it	PRON
aps-108	185	16	producing	produce	VERB
aps-108	185	17	the	the	DET
aps-108	185	18	type	type	NOUN
aps-108	185	19	of	of	ADP
aps-108	185	20	data	datum	NOUN
aps-108	185	21	that	that	PRON
aps-108	185	22	enables	enable	VERB
aps-108	185	23	researchers	researcher	NOUN
aps-108	185	24	like	like	ADP
aps-108	185	25	yourselves	yourself	NOUN
aps-108	185	26	(	(	PUNCT
aps-108	185	27	and	and	CCONJ
aps-108	185	28	occasionally	occasionally	ADV
aps-108	185	29	myself	myself	PRON
aps-108	185	30	)	)	PUNCT
aps-108	185	31	to	to	PART
aps-108	185	32	glean	glean	VERB
aps-108	185	33	novel	novel	ADJ
aps-108	185	34	insights	insight	NOUN
aps-108	185	35	.	.	PUNCT
aps-108	186	1	the	the	DET
aps-108	186	2	abs	ab	NOUN
aps-108	186	3	has	have	AUX
aps-108	186	4	made	make	VERB
aps-108	186	5	great	great	ADJ
aps-108	186	6	strides	stride	NOUN
aps-108	186	7	in	in	ADP
aps-108	186	8	this	this	DET
aps-108	186	9	regard	regard	NOUN
aps-108	186	10	and	and	CCONJ
aps-108	186	11	now	now	ADV
aps-108	186	12	provides	provide	VERB
aps-108	186	13	access	access	NOUN
aps-108	186	14	to	to	ADP
aps-108	186	15	linked	link	VERB
aps-108	186	16	datasets	dataset	NOUN
aps-108	186	17	such	such	ADJ
aps-108	186	18	as	as	ADP
aps-108	186	19	the	the	DET
aps-108	186	20	multiagency	multiagency	NOUN
aps-108	186	21	data	data	NOUN
aps-108	186	22	integration	integration	NOUN
aps-108	186	23	project	project	NOUN
aps-108	186	24	(	(	PUNCT
aps-108	186	25	madip	madip	NOUN
aps-108	186	26	)	)	PUNCT
aps-108	186	27	.	.	PUNCT
aps-108	187	1	the	the	DET
aps-108	187	2	australian	australian	ADJ
aps-108	187	3	government	government	NOUN
aps-108	187	4	also	also	ADV
aps-108	187	5	wants	want	VERB
aps-108	187	6	to	to	PART
aps-108	187	7	provide	provide	VERB
aps-108	187	8	timely	timely	ADJ
aps-108	187	9	data	datum	NOUN
aps-108	187	10	.	.	PUNCT
aps-108	188	1	the	the	DET
aps-108	188	2	department	department	PROPN
aps-108	188	3	of	of	ADP
aps-108	188	4	health	health	PROPN
aps-108	188	5	and	and	CCONJ
aps-108	188	6	aged	aged	ADJ
aps-108	188	7	care	care	NOUN
aps-108	188	8	has	have	AUX
aps-108	188	9	funded	fund	VERB
aps-108	188	10	the	the	DET
aps-108	188	11	abs	ab	NOUN
aps-108	188	12	to	to	PART
aps-108	188	13	continue	continue	VERB
aps-108	188	14	the	the	DET
aps-108	188	15	provisional	provisional	ADJ
aps-108	188	16	mortality	mortality	NOUN
aps-108	188	17	statistics	statistic	NOUN
aps-108	188	18	,	,	PUNCT
aps-108	188	19	as	as	ADV
aps-108	188	20	well	well	ADV
aps-108	188	21	as	as	ADP
aps-108	188	22	reports	report	NOUN
aps-108	188	23	on	on	ADP
aps-108	188	24	covid	covid	PROPN
aps-108	188	25	mortality	mortality	NOUN
aps-108	188	26	and	and	CCONJ
aps-108	188	27	excess	excess	ADJ
aps-108	188	28	deaths	death	NOUN
aps-108	188	29	for	for	ADP
aps-108	188	30	this	this	DET
aps-108	188	31	financial	financial	ADJ
aps-108	188	32	year	year	NOUN
aps-108	188	33	.	.	PUNCT
aps-108	189	1	reducing	reduce	VERB
aps-108	189	2	health	health	NOUN
aps-108	189	3	inequality	inequality	NOUN
aps-108	189	4	is	be	AUX
aps-108	189	5	a	a	DET
aps-108	189	6	priority	priority	NOUN
aps-108	189	7	for	for	ADP
aps-108	189	8	our	our	PRON
aps-108	189	9	government	government	NOUN
aps-108	189	10	,	,	PUNCT
aps-108	189	11	and	and	CCONJ
aps-108	189	12	we	we	PRON
aps-108	189	13	are	be	AUX
aps-108	189	14	acutely	acutely	ADV
aps-108	189	15	aware	aware	ADJ
aps-108	189	16	of	of	ADP
aps-108	189	17	the	the	DET
aps-108	189	18	value	value	NOUN
aps-108	189	19	of	of	ADP
aps-108	189	20	high	high	ADJ
aps-108	189	21	-	-	PUNCT
aps-108	189	22	quality	quality	NOUN
aps-108	189	23	research	research	NOUN
aps-108	189	24	in	in	ADP
aps-108	189	25	helping	help	VERB
aps-108	189	26	us	we	PRON
aps-108	189	27	understand	understand	VERB
aps-108	189	28	the	the	DET
aps-108	189	29	problem	problem	NOUN
aps-108	189	30	.	.	PUNCT
aps-108	190	1	only	only	ADV
aps-108	190	2	by	by	ADP
aps-108	190	3	shining	shine	VERB
aps-108	190	4	a	a	DET
aps-108	190	5	spotlight	spotlight	NOUN
aps-108	190	6	onto	onto	ADP
aps-108	190	7	the	the	DET
aps-108	190	8	health	health	NOUN
aps-108	190	9	gaps	gap	NOUN
aps-108	190	10	that	that	PRON
aps-108	190	11	exist	exist	VERB
aps-108	190	12	between	between	ADP
aps-108	190	13	advantaged	advantaged	ADJ
aps-108	190	14	and	and	CCONJ
aps-108	190	15	disadvantaged	disadvantaged	ADJ
aps-108	190	16	australians	australian	NOUN
aps-108	190	17	can	can	AUX
aps-108	190	18	we	we	PRON
aps-108	190	19	begin	begin	VERB
aps-108	190	20	to	to	PART
aps-108	190	21	develop	develop	VERB
aps-108	190	22	policies	policy	NOUN
aps-108	190	23	to	to	PART
aps-108	190	24	narrow	narrow	VERB
aps-108	190	25	these	these	DET
aps-108	190	26	disparities	disparity	NOUN
aps-108	190	27	.	.	PUNCT
aps-108	191	1	acknowledgements	acknowledgement	NOUN
aps-108	191	2	my	my	PRON
aps-108	191	3	thanks	thank	NOUN
aps-108	191	4	to	to	ADP
aps-108	191	5	officials	official	NOUN
aps-108	191	6	in	in	ADP
aps-108	191	7	the	the	DET
aps-108	191	8	australian	australian	ADJ
aps-108	191	9	treasury	treasury	PROPN
aps-108	191	10	’s	’s	PART
aps-108	191	11	centre	centre	NOUN
aps-108	191	12	for	for	ADP
aps-108	191	13	population	population	NOUN
aps-108	191	14	for	for	ADP
aps-108	191	15	invaluable	invaluable	ADJ
aps-108	191	16	assistance	assistance	NOUN
aps-108	191	17	in	in	ADP
aps-108	191	18	preparing	prepare	VERB
aps-108	191	19	this	this	DET
aps-108	191	20	talk	talk	NOUN
aps-108	191	21	.	.	PUNCT
aps-108	192	1	references	reference	NOUN
aps-108	192	2	abs	ab	NOUN
aps-108	192	3	(	(	PUNCT
aps-108	192	4	2022a	2022a	NUM
aps-108	192	5	)	)	PUNCT
aps-108	192	6	.	.	PUNCT
aps-108	193	1	covid-19	covid-19	PROPN
aps-108	193	2	mortality	mortality	NOUN
aps-108	193	3	in	in	ADP
aps-108	193	4	australia	australia	PROPN
aps-108	193	5	:	:	PUNCT
aps-108	193	6	deaths	death	NOUN
aps-108	193	7	registered	register	VERB
aps-108	193	8	until	until	ADP
aps-108	193	9	30	30	NUM
aps-108	193	10	september	september	PROPN
aps-108	193	11	2022	2022	NUM
aps-108	193	12	,	,	PUNCT
aps-108	193	13	release	release	VERB
aps-108	193	14	date	date	NOUN
aps-108	193	15	27	27	NUM
aps-108	193	16	october	october	NOUN
aps-108	193	17	2022	2022	NUM
aps-108	193	18	,	,	PUNCT
aps-108	193	19	australian	australian	ADJ
aps-108	193	20	government	government	NOUN
aps-108	193	21	,	,	PUNCT
aps-108	193	22	accessed	access	VERB
aps-108	193	23	november	november	PROPN
aps-108	193	24	2022	2022	NUM
aps-108	193	25	.	.	PUNCT
aps-108	194	1	https://www.abs.gov.au/articles/covid-19-mortality-australia-deaths-registered-until-30september-2022	https://www.abs.gov.au/articles/covid-19-mortality-australia-deaths-registered-until-30september-2022	NOUN
aps-108	194	2	abs	ab	NOUN
aps-108	194	3	(	(	PUNCT
aps-108	194	4	2022b	2022b	NUM
aps-108	194	5	)	)	PUNCT
aps-108	194	6	.	.	PUNCT
aps-108	195	1	provisional	provisional	ADJ
aps-108	195	2	mortality	mortality	NOUN
aps-108	195	3	statistics	statistic	NOUN
aps-108	195	4	,	,	PUNCT
aps-108	195	5	january	january	PROPN
aps-108	195	6	–	–	PUNCT
aps-108	195	7	july	july	PROPN
aps-108	195	8	2022	2022	NUM
aps-108	195	9	,	,	PUNCT
aps-108	195	10	release	release	VERB
aps-108	195	11	date	date	NOUN
aps-108	195	12	27	27	NUM
aps-108	195	13	october	october	NOUN
aps-108	195	14	2022	2022	NUM
aps-108	195	15	,	,	PUNCT
aps-108	195	16	australian	australian	ADJ
aps-108	195	17	government	government	NOUN
aps-108	195	18	,	,	PUNCT
aps-108	195	19	accessed	access	VERB
aps-108	195	20	november	november	PROPN
aps-108	195	21	2022	2022	NUM
aps-108	195	22	.	.	PUNCT
aps-108	196	1	https://www.abs.gov.au/statistics/health/causes-death/provisional-mortality-statistics/jan-jul2022	https://www.abs.gov.au/statistics/health/causes-death/provisional-mortality-statistics/jan-jul2022	NOUN
aps-108	196	2	abs	ab	NOUN
aps-108	196	3	(	(	PUNCT
aps-108	196	4	2022c	2022c	NUM
aps-108	196	5	)	)	PUNCT
aps-108	196	6	.	.	PUNCT
aps-108	197	1	covid	covid	PROPN
aps-108	197	2	mortality	mortality	PROPN
aps-108	197	3	by	by	ADP
aps-108	197	4	wave	wave	NOUN
aps-108	197	5	,	,	PUNCT
aps-108	197	6	release	release	VERB
aps-108	197	7	date	date	NOUN
aps-108	197	8	16	16	NUM
aps-108	197	9	november	november	PROPN
aps-108	197	10	2022	2022	NUM
aps-108	197	11	,	,	PUNCT
aps-108	197	12	accessed	access	VERB
aps-108	197	13	november	november	PROPN
aps-108	197	14	2022	2022	NUM
aps-108	197	15	.	.	PUNCT
aps-108	198	1	https://www.abs.gov.au/articles/covid-19-mortality-wave	https://www.abs.gov.au/articles/covid-19-mortality-wave	ADJ
aps-108	198	2	australian	australian	ADJ
aps-108	198	3	government	government	NOUN
aps-108	198	4	(	(	PUNCT
aps-108	198	5	2022	2022	NUM
aps-108	198	6	)	)	PUNCT
aps-108	198	7	.	.	PUNCT
aps-108	199	1	commonwealth	commonwealth	PROPN
aps-108	199	2	closing	close	VERB
aps-108	199	3	the	the	DET
aps-108	199	4	gap	gap	NOUN
aps-108	199	5	annual	annual	ADJ
aps-108	199	6	report	report	NOUN
aps-108	199	7	2022	2022	NUM
aps-108	199	8	.	.	PUNCT
aps-108	200	1	australian	australian	ADJ
aps-108	200	2	government	government	NOUN
aps-108	200	3	.	.	PUNCT
aps-108	201	1	https://www.niaa.gov.au/node/127616	https://www.niaa.gov.au/node/127616	PROPN
aps-108	201	2	australian	australian	PROPN
aps-108	201	3	institute	institute	PROPN
aps-108	201	4	of	of	ADP
aps-108	201	5	health	health	PROPN
aps-108	201	6	and	and	CCONJ
aps-108	201	7	welfare	welfare	NOUN
aps-108	201	8	(	(	PUNCT
aps-108	201	9	aihw	aihw	PROPN
aps-108	201	10	)	)	PUNCT
aps-108	201	11	(	(	PUNCT
aps-108	201	12	2022a	2022a	NUM
aps-108	201	13	)	)	PUNCT
aps-108	201	14	.	.	PUNCT
aps-108	202	1	deaths	death	NOUN
aps-108	202	2	in	in	ADP
aps-108	202	3	australia	australia	PROPN
aps-108	202	4	.	.	PUNCT
aps-108	203	1	australian	australian	ADJ
aps-108	203	2	government	government	NOUN
aps-108	203	3	,	,	PUNCT
aps-108	203	4	accessed	access	VERB
aps-108	203	5	november	november	PROPN
aps-108	203	6	2022	2022	NUM
aps-108	203	7	.	.	PUNCT
aps-108	204	1	https://www.aihw.gov.au/reports/life-expectancy-death/deaths-inaustralia/contents/summary	https://www.aihw.gov.au/reports/life-expectancy-death/deaths-inaustralia/contents/summary	ADJ
aps-108	204	2	australian	australian	PROPN
aps-108	204	3	institute	institute	PROPN
aps-108	204	4	of	of	ADP
aps-108	204	5	health	health	PROPN
aps-108	204	6	and	and	CCONJ
aps-108	204	7	welfare	welfare	NOUN
aps-108	204	8	(	(	PUNCT
aps-108	204	9	aihw	aihw	PROPN
aps-108	204	10	)	)	PUNCT
aps-108	204	11	(	(	PUNCT
aps-108	204	12	2022b	2022b	NUM
aps-108	204	13	)	)	PUNCT
aps-108	204	14	.	.	PUNCT
aps-108	205	1	health	health	NOUN
aps-108	205	2	across	across	ADP
aps-108	205	3	socioeconomic	socioeconomic	ADJ
aps-108	205	4	groups	group	NOUN
aps-108	205	5	,	,	PUNCT
aps-108	205	6	release	release	VERB
aps-108	205	7	date	date	NOUN
aps-108	205	8	7	7	NUM
aps-108	205	9	july	july	PROPN
aps-108	205	10	2022	2022	NUM
aps-108	205	11	,	,	PUNCT
aps-108	205	12	australian	australian	ADJ
aps-108	205	13	government	government	NOUN
aps-108	205	14	,	,	PUNCT
aps-108	205	15	accessed	access	VERB
aps-108	205	16	november	november	PROPN
aps-108	205	17	2022	2022	NUM
aps-108	205	18	.	.	PUNCT
aps-108	206	1	https://www.aihw.gov.au/reports/australias-health/health-across-socioeconomic-groups	https://www.aihw.gov.au/reports/australias-health/health-across-socioeconomic-group	VERB
aps-108	206	2	australian	australian	ADJ
aps-108	206	3	government	government	NOUN
aps-108	206	4	actuary	actuary	NOUN
aps-108	206	5	(	(	PUNCT
aps-108	206	6	aga	aga	PROPN
aps-108	206	7	)	)	PUNCT
aps-108	206	8	and	and	CCONJ
aps-108	206	9	centre	centre	NOUN
aps-108	206	10	for	for	ADP
aps-108	206	11	population	population	NOUN
aps-108	206	12	(	(	PUNCT
aps-108	206	13	cpop	cpop	PROPN
aps-108	206	14	)	)	PUNCT
aps-108	206	15	(	(	PUNCT
aps-108	206	16	2021	2021	NUM
aps-108	206	17	)	)	PUNCT
aps-108	206	18	.	.	PUNCT
aps-108	207	1	sub	sub	ADJ
aps-108	207	2	-	-	ADJ
aps-108	207	3	group	group	NOUN
aps-108	207	4	mortality	mortality	NOUN
aps-108	207	5	:	:	PUNCT
aps-108	207	6	new	new	ADJ
aps-108	207	7	insights	insight	NOUN
aps-108	207	8	using	use	VERB
aps-108	207	9	australian	australian	ADJ
aps-108	207	10	microdata	microdata	NOUN
aps-108	207	11	,	,	PUNCT
aps-108	207	12	accessed	access	VERB
aps-108	207	13	november	november	PROPN
aps-108	207	14	2022	2022	NUM
aps-108	207	15	.	.	PUNCT
aps-108	208	1	https://population.gov.au/publications/research/sub-group-mortality-microdata-approachresident-sub-group-life-tables	https://population.gov.au/publications/research/sub-group-mortality-microdata-approachresident-sub-group-life-table	NOUN
aps-108	208	2	https://www.abs.gov.au/articles/covid-19-mortality-australia-deaths-registered-until-30-september-2022	https://www.abs.gov.au/articles/covid-19-mortality-australia-deaths-registered-until-30-september-2022	PROPN
aps-108	208	3	https://www.abs.gov.au/articles/covid-19-mortality-australia-deaths-registered-until-30-september-2022	https://www.abs.gov.au/articles/covid-19-mortality-australia-deaths-registered-until-30-september-2022	NOUN
aps-108	209	1	https://www.abs.gov.au/statistics/health/causes-death/provisional-mortality-statistics/jan-jul-2022	https://www.abs.gov.au/statistics/health/causes-death/provisional-mortality-statistics/jan-jul-2022	PROPN
aps-108	210	1	https://www.abs.gov.au/statistics/health/causes-death/provisional-mortality-statistics/jan-jul-2022	https://www.abs.gov.au/statistics/health/causes-death/provisional-mortality-statistics/jan-jul-2022	PROPN
aps-108	210	2	https://www.abs.gov.au/articles/covid-19-mortality-wave	https://www.abs.gov.au/articles/covid-19-mortality-wave	PROPN
aps-108	210	3	https://www.niaa.gov.au/node/127616	https://www.niaa.gov.au/node/127616	PROPN
aps-108	210	4	https://www.aihw.gov.au/reports/life-expectancy-death/deaths-in-australia/contents/summary	https://www.aihw.gov.au/reports/life-expectancy-death/deaths-in-australia/contents/summary	DET
aps-108	210	5	https://www.aihw.gov.au/reports/life-expectancy-death/deaths-in-australia/contents/summary	https://www.aihw.gov.au/reports/life-expectancy-death/deaths-in-australia/contents/summary	PROPN
aps-108	210	6	https://www.aihw.gov.au/reports/australias-health/health-across-socioeconomic-groups	https://www.aihw.gov.au/reports/australias-health/health-across-socioeconomic-groups	PROPN
aps-108	210	7	https://population.gov.au/publications/research/sub-group-mortality-microdata-approach-resident-sub-group-life-tables	https://population.gov.au/publications/research/sub-group-mortality-microdata-approach-resident-sub-group-life-table	NOUN
aps-108	210	8	https://population.gov.au/publications/research/sub-group-mortality-microdata-approach-resident-sub-group-life-tables	https://population.gov.au/publications/research/sub-group-mortality-microdata-approach-resident-sub-group-life-table	NOUN
aps-108	210	9	44	44	NUM
aps-108	210	10	leigh	leigh	ADJ
aps-108	210	11	australian	australian	ADJ
aps-108	210	12	population	population	NOUN
aps-108	210	13	studies	study	NOUN
aps-108	210	14	6	6	NUM
aps-108	210	15	(	(	PUNCT
aps-108	210	16	2	2	NUM
aps-108	210	17	)	)	PUNCT
aps-108	210	18	2022	2022	NUM
aps-108	210	19	clarke	clarke	PROPN
aps-108	210	20	,	,	PUNCT
aps-108	210	21	p.	p.	PROPN
aps-108	210	22	,	,	PUNCT
aps-108	210	23	&	&	CCONJ
aps-108	210	24	leigh	leigh	PROPN
aps-108	210	25	,	,	PUNCT
aps-108	210	26	a.	a.	NOUN
aps-108	210	27	(	(	PUNCT
aps-108	210	28	2011	2011	NUM
aps-108	210	29	)	)	PUNCT
aps-108	210	30	.	.	PUNCT
aps-108	211	1	death	death	NOUN
aps-108	211	2	,	,	PUNCT
aps-108	211	3	dollars	dollar	NOUN
aps-108	211	4	and	and	CCONJ
aps-108	211	5	degrees	degree	NOUN
aps-108	211	6	:	:	PUNCT
aps-108	211	7	socio‐economic	socio‐economic	ADJ
aps-108	211	8	status	status	NOUN
aps-108	211	9	and	and	CCONJ
aps-108	211	10	longevity	longevity	NOUN
aps-108	211	11	in	in	ADP
aps-108	211	12	australia	australia	PROPN
aps-108	211	13	,	,	PUNCT
aps-108	211	14	economic	economic	ADJ
aps-108	211	15	papers	paper	NOUN
aps-108	211	16	,	,	PUNCT
aps-108	211	17	30(3	30(3	NUM
aps-108	211	18	)	)	PUNCT
aps-108	211	19	,	,	PUNCT
aps-108	211	20	348	348	NUM
aps-108	211	21	-	-	SYM
aps-108	211	22	355	355	NUM
aps-108	211	23	.	.	PUNCT
aps-108	212	1	https://doi.org/10.1111/j.1759-3441.2011.00127.x	https://doi.org/10.1111/j.1759-3441.2011.00127.x	NOUN
aps-108	212	2	clarke	clarke	PROPN
aps-108	212	3	,	,	PUNCT
aps-108	212	4	p.	p.	PROPN
aps-108	212	5	&	&	CCONJ
aps-108	212	6	leigh	leigh	PROPN
aps-108	212	7	,	,	PUNCT
aps-108	212	8	a.	a.	NOUN
aps-108	212	9	(	(	PUNCT
aps-108	212	10	2022	2022	NUM
aps-108	212	11	)	)	PUNCT
aps-108	212	12	.	.	PUNCT
aps-108	213	1	understanding	understand	VERB
aps-108	213	2	the	the	DET
aps-108	213	3	impact	impact	NOUN
aps-108	213	4	of	of	ADP
aps-108	213	5	lockdowns	lockdown	NOUN
aps-108	213	6	on	on	ADP
aps-108	213	7	short	short	ADJ
aps-108	213	8	-	-	PUNCT
aps-108	213	9	term	term	NOUN
aps-108	213	10	excess	excess	ADJ
aps-108	213	11	mortality	mortality	NOUN
aps-108	213	12	in	in	ADP
aps-108	213	13	australia	australia	PROPN
aps-108	213	14	,	,	PUNCT
aps-108	213	15	bmj	bmj	PROPN
aps-108	213	16	global	global	ADJ
aps-108	213	17	health	health	NOUN
aps-108	213	18	,	,	PUNCT
aps-108	213	19	7	7	NUM
aps-108	213	20	,	,	PUNCT
aps-108	213	21	article	article	NOUN
aps-108	213	22	e009032	e009032	PROPN
aps-108	213	23	.	.	PUNCT
aps-108	214	1	http://dx.doi.org/10.1136/bmjgh-2022-009032	http://dx.doi.org/10.1136/bmjgh-2022-009032	PROPN
aps-108	214	2	dukhovnov	dukhovnov	PROPN
aps-108	214	3	,	,	PUNCT
aps-108	214	4	d.	d.	PROPN
aps-108	214	5	,	,	PUNCT
aps-108	214	6	&	&	CCONJ
aps-108	214	7	barbieri	barbieri	PROPN
aps-108	214	8	,	,	PUNCT
aps-108	214	9	m.	m.	NOUN
aps-108	214	10	(	(	PUNCT
aps-108	214	11	2022	2022	NUM
aps-108	214	12	)	)	PUNCT
aps-108	214	13	.	.	PUNCT
aps-108	215	1	county	county	NOUN
aps-108	215	2	-	-	PUNCT
aps-108	215	3	level	level	NOUN
aps-108	215	4	socio	socio	NOUN
aps-108	215	5	-	-	PUNCT
aps-108	215	6	economic	economic	ADJ
aps-108	215	7	disparities	disparity	NOUN
aps-108	215	8	in	in	ADP
aps-108	215	9	covid	covid	PROPN
aps-108	215	10	mortality	mortality	NOUN
aps-108	215	11	in	in	ADP
aps-108	215	12	the	the	DET
aps-108	215	13	usa	usa	PROPN
aps-108	215	14	,	,	PUNCT
aps-108	215	15	international	international	ADJ
aps-108	215	16	journal	journal	NOUN
aps-108	215	17	of	of	ADP
aps-108	215	18	epidemiology	epidemiology	NOUN
aps-108	215	19	,	,	PUNCT
aps-108	215	20	51(2	51(2	NUM
aps-108	215	21	)	)	PUNCT
aps-108	215	22	,	,	PUNCT
aps-108	215	23	418	418	NUM
aps-108	215	24	-	-	SYM
aps-108	215	25	428	428	NUM
aps-108	215	26	.	.	PUNCT
aps-108	216	1	https://doi.org/10.1093/ije/dyab267	https://doi.org/10.1093/ije/dyab267	PROPN
aps-108	216	2	foster	foster	PROPN
aps-108	216	3	,	,	PUNCT
aps-108	216	4	s.	s.	PROPN
aps-108	216	5	&	&	CCONJ
aps-108	216	6	varghese	varghese	PROPN
aps-108	216	7	,	,	PUNCT
aps-108	216	8	m.	m.	NOUN
aps-108	216	9	(	(	PUNCT
aps-108	216	10	2009	2009	NUM
aps-108	216	11	)	)	PUNCT
aps-108	216	12	.	.	PUNCT
aps-108	217	1	the	the	DET
aps-108	217	2	making	making	NOUN
aps-108	217	3	of	of	ADP
aps-108	217	4	the	the	DET
aps-108	217	5	australian	australian	ADJ
aps-108	217	6	national	national	PROPN
aps-108	217	7	university	university	NOUN
aps-108	217	8	,	,	PUNCT
aps-108	217	9	1946	1946	NUM
aps-108	217	10	-	-	SYM
aps-108	217	11	1996	1996	NUM
aps-108	217	12	.	.	PUNCT
aps-108	218	1	anu	anu	PROPN
aps-108	218	2	press	press	PROPN
aps-108	218	3	,	,	PUNCT
aps-108	218	4	canberra	canberra	PROPN
aps-108	218	5	.	.	PUNCT
aps-108	219	1	http://doi.org/10.22459/manu.08.2009	http://doi.org/10.22459/manu.08.2009	PROPN
aps-108	219	2	johns	johns	PROPN
aps-108	219	3	hopkins	hopkins	PROPN
aps-108	219	4	university	university	PROPN
aps-108	219	5	(	(	PUNCT
aps-108	219	6	johns	johns	PROPN
aps-108	219	7	hopkins	hopkins	PROPN
aps-108	219	8	)	)	PUNCT
aps-108	219	9	(	(	PUNCT
aps-108	219	10	2022	2022	NUM
aps-108	219	11	)	)	PUNCT
aps-108	219	12	.	.	PUNCT
aps-108	220	1	mortality	mortality	NOUN
aps-108	220	2	analyses	analysis	NOUN
aps-108	220	3	,	,	PUNCT
aps-108	220	4	coronavirus	coronavirus	NOUN
aps-108	220	5	resource	resource	NOUN
aps-108	220	6	centre	centre	NOUN
aps-108	220	7	,	,	PUNCT
aps-108	220	8	last	last	ADJ
aps-108	220	9	updated	update	VERB
aps-108	220	10	9	9	NUM
aps-108	220	11	november	november	PROPN
aps-108	220	12	2022	2022	NUM
aps-108	220	13	,	,	PUNCT
aps-108	220	14	johns	johns	PROPN
aps-108	220	15	hopkins	hopkins	PROPN
aps-108	220	16	university	university	PROPN
aps-108	220	17	&	&	CCONJ
aps-108	220	18	medicine	medicine	NOUN
aps-108	220	19	.	.	PUNCT
aps-108	221	1	https://coronavirus.jhu.edu/data/mortality	https://coronavirus.jhu.edu/data/mortality	NOUN
aps-108	221	2	office	office	NOUN
aps-108	221	3	for	for	ADP
aps-108	221	4	national	national	ADJ
aps-108	221	5	statistics	statistic	NOUN
aps-108	221	6	(	(	PUNCT
aps-108	221	7	ons	ons	PROPN
aps-108	221	8	)	)	PUNCT
aps-108	221	9	(	(	PUNCT
aps-108	221	10	2022	2022	NUM
aps-108	221	11	)	)	PUNCT
aps-108	221	12	.	.	PUNCT
aps-108	222	1	updating	update	VERB
aps-108	222	2	ethnic	ethnic	ADJ
aps-108	222	3	contrasts	contrast	NOUN
aps-108	222	4	in	in	ADP
aps-108	222	5	deaths	death	NOUN
aps-108	222	6	involving	involve	VERB
aps-108	222	7	the	the	DET
aps-108	222	8	coronavirus	coronavirus	NOUN
aps-108	222	9	(	(	PUNCT
aps-108	222	10	covid	covid	PROPN
aps-108	222	11	)	)	PUNCT
aps-108	222	12	,	,	PUNCT
aps-108	222	13	england	england	PROPN
aps-108	222	14	:	:	PUNCT
aps-108	222	15	8	8	NUM
aps-108	222	16	december	december	NOUN
aps-108	222	17	2020	2020	NUM
aps-108	222	18	to	to	ADP
aps-108	222	19	1	1	NUM
aps-108	222	20	december	december	PROPN
aps-108	222	21	2021	2021	NUM
aps-108	222	22	,	,	PUNCT
aps-108	222	23	release	release	VERB
aps-108	222	24	date	date	NOUN
aps-108	222	25	26	26	NUM
aps-108	222	26	january	january	PROPN
aps-108	222	27	2022	2022	NUM
aps-108	222	28	,	,	PUNCT
aps-108	222	29	united	united	ADJ
aps-108	222	30	kingdom	kingdom	PROPN
aps-108	222	31	government	government	NOUN
aps-108	222	32	,	,	PUNCT
aps-108	222	33	accessed	access	VERB
aps-108	222	34	november	november	PROPN
aps-108	222	35	2022	2022	NUM
aps-108	222	36	.	.	PUNCT
aps-108	223	1	https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/arti	https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/arti	PROPN
aps-108	223	2	cles	cles	PROPN
aps-108	223	3	/	/	SYM
aps-108	223	4	updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales/8decemb	updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales/8decemb	PROPN
aps-108	223	5	er2020to1december2021	er2020to1december2021	PROPN
aps-108	223	6	peres	peres	PROPN
aps-108	223	7	,	,	PUNCT
aps-108	223	8	m.	m.	NOUN
aps-108	223	9	,	,	PUNCT
aps-108	223	10	&	&	CCONJ
aps-108	223	11	lalloo	lalloo	PROPN
aps-108	223	12	,	,	PUNCT
aps-108	223	13	r.	r.	PROPN
aps-108	223	14	(	(	PUNCT
aps-108	223	15	2020	2020	NUM
aps-108	223	16	)	)	PUNCT
aps-108	223	17	.	.	PUNCT
aps-108	224	1	tooth	tooth	NOUN
aps-108	224	2	loss	loss	NOUN
aps-108	224	3	,	,	PUNCT
aps-108	224	4	denture	denture	NOUN
aps-108	224	5	wearing	wear	VERB
aps-108	224	6	and	and	CCONJ
aps-108	224	7	implants	implant	NOUN
aps-108	224	8	:	:	PUNCT
aps-108	224	9	findings	finding	NOUN
aps-108	224	10	from	from	ADP
aps-108	224	11	the	the	DET
aps-108	224	12	national	national	ADJ
aps-108	224	13	study	study	NOUN
aps-108	224	14	of	of	ADP
aps-108	224	15	adult	adult	NOUN
aps-108	224	16	oral	oral	ADJ
aps-108	224	17	health	health	NOUN
aps-108	224	18	2017–18	2017–18	NUM
aps-108	224	19	,	,	PUNCT
aps-108	224	20	australian	australian	ADJ
aps-108	224	21	dental	dental	ADJ
aps-108	224	22	journal	journal	NOUN
aps-108	224	23	,	,	PUNCT
aps-108	224	24	65(s1	65(s1	NUM
aps-108	224	25	)	)	PUNCT
aps-108	224	26	,	,	PUNCT
aps-108	224	27	s23	s23	NOUN
aps-108	224	28	-	-	PUNCT
aps-108	224	29	s31	s31	NOUN
aps-108	224	30	.	.	PUNCT
aps-108	225	1	https://doi.org/10.1111/adj.12761	https://doi.org/10.1111/adj.12761	NOUN
aps-108	225	2	price	price	NOUN
aps-108	225	3	,	,	PUNCT
aps-108	225	4	c.	c.	PROPN
aps-108	225	5	a.	a.	PROPN
aps-108	225	6	(	(	PUNCT
aps-108	225	7	2000	2000	NUM
aps-108	225	8	)	)	PUNCT
aps-108	225	9	.	.	PUNCT
aps-108	226	1	wilfred	wilfred	PROPN
aps-108	226	2	david	david	PROPN
aps-108	226	3	(	(	PUNCT
aps-108	226	4	mick	mick	PROPN
aps-108	226	5	)	)	PUNCT
aps-108	226	6	borrie	borrie	NOUN
aps-108	226	7	,	,	PUNCT
aps-108	226	8	cbe	cbe	PROPN
aps-108	226	9	1913	1913	PROPN
aps-108	226	10	-	-	SYM
aps-108	226	11	2000	2000	NUM
aps-108	226	12	.	.	PUNCT
aps-108	227	1	journal	journal	NOUN
aps-108	227	2	of	of	ADP
aps-108	227	3	population	population	NOUN
aps-108	227	4	research	research	NOUN
aps-108	227	5	,	,	PUNCT
aps-108	227	6	17	17	NUM
aps-108	227	7	,	,	PUNCT
aps-108	227	8	v	v	NOUN
aps-108	227	9	-	-	PUNCT
aps-108	227	10	vi	vi	NOUN
aps-108	227	11	.	.	PUNCT
aps-108	228	1	https://doi.org/10.1007/bf03029444	https://doi.org/10.1007/bf03029444	PROPN
aps-108	228	2	subedi	subedi	PROPN
aps-108	228	3	,	,	PUNCT
aps-108	228	4	r.	r.	PROPN
aps-108	228	5	&	&	CCONJ
aps-108	228	6	aitken	aitken	PROPN
aps-108	228	7	,	,	PUNCT
aps-108	228	8	n.	n.	PROPN
aps-108	228	9	(	(	PUNCT
aps-108	228	10	2022	2022	NUM
aps-108	228	11	)	)	PUNCT
aps-108	228	12	.	.	PUNCT
aps-108	229	1	inequalities	inequality	NOUN
aps-108	229	2	in	in	ADP
aps-108	229	3	covid	covid	PROPN
aps-108	229	4	mortality	mortality	NOUN
aps-108	229	5	rates	rate	NOUN
aps-108	229	6	by	by	ADP
aps-108	229	7	neighbourhood	neighbourhood	NOUN
aps-108	229	8	types	type	NOUN
aps-108	229	9	in	in	ADP
aps-108	229	10	canada	canada	PROPN
aps-108	229	11	,	,	PUNCT
aps-108	229	12	release	release	VERB
aps-108	229	13	date	date	NOUN
aps-108	229	14	9	9	NUM
aps-108	229	15	may	may	PROPN
aps-108	229	16	2022	2022	NUM
aps-108	229	17	,	,	PUNCT
aps-108	229	18	statistics	statistics	PROPN
aps-108	229	19	canada	canada	PROPN
aps-108	229	20	,	,	PUNCT
aps-108	229	21	accessed	access	VERB
aps-108	229	22	november	november	PROPN
aps-108	229	23	2022	2022	NUM
aps-108	229	24	.	.	PUNCT
aps-108	230	1	https://www150.statcan.gc.ca/n1/pub/45-28-0001/2022001/article/00006-eng.htm	https://www150.statcan.gc.ca/n1/pub/45-28-0001/2022001/article/00006-eng.htm	PROPN
aps-108	230	2	world	world	PROPN
aps-108	230	3	health	health	NOUN
aps-108	230	4	organization	organization	NOUN
aps-108	230	5	(	(	PUNCT
aps-108	230	6	who	who	PRON
aps-108	230	7	)	)	PUNCT
aps-108	230	8	(	(	PUNCT
aps-108	230	9	2021	2021	NUM
aps-108	230	10	)	)	PUNCT
aps-108	230	11	.	.	PUNCT
aps-108	231	1	global	global	ADJ
aps-108	231	2	excess	excess	ADJ
aps-108	231	3	deaths	death	NOUN
aps-108	231	4	associated	associate	VERB
aps-108	231	5	with	with	ADP
aps-108	231	6	covid	covid	PROPN
aps-108	231	7	(	(	PUNCT
aps-108	231	8	modelled	model	VERB
aps-108	231	9	estimates	estimate	NOUN
aps-108	231	10	)	)	PUNCT
aps-108	231	11	,	,	PUNCT
aps-108	231	12	latest	late	ADJ
aps-108	231	13	update	update	NOUN
aps-108	231	14	5	5	NUM
aps-108	231	15	may	may	PROPN
aps-108	231	16	2022	2022	NUM
aps-108	231	17	;	;	PUNCT
aps-108	231	18	first	first	ADV
aps-108	231	19	published	publish	VERB
aps-108	231	20	20	20	NUM
aps-108	231	21	may	may	NOUN
aps-108	231	22	2021	2021	NUM
aps-108	231	23	,	,	PUNCT
aps-108	231	24	world	world	NOUN
aps-108	231	25	health	health	NOUN
aps-108	231	26	organization	organization	NOUN
aps-108	231	27	.	.	PUNCT
aps-108	232	1	https://www.who.int/data/sets/global-excess-deaths-associated-with-covid-19-modelledestimates	https://www.who.int/data/sets/global-excess-deaths-associated-with-covid-19-modelledestimate	VERB
aps-108	232	2	https://doi.org/10.1111/j.1759-3441.2011.00127.x	https://doi.org/10.1111/j.1759-3441.2011.00127.x	NOUN
aps-108	232	3	http://dx.doi.org/10.1136/bmjgh-2022-009032	http://dx.doi.org/10.1136/bmjgh-2022-009032	ADJ
aps-108	232	4	https://doi.org/10.1093/ije/dyab267	https://doi.org/10.1093/ije/dyab267	PROPN
aps-108	232	5	http://doi.org/10.22459/manu.08.2009	http://doi.org/10.22459/manu.08.2009	PROPN
aps-108	232	6	https://coronavirus.jhu.edu/data/mortality	https://coronavirus.jhu.edu/data/mortality	PROPN
aps-108	232	7	https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/articles/updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales/8december2020to1december2021	https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/articles/updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales/8december2020to1december2021	PROPN
aps-108	232	8	https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/articles/updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales/8december2020to1december2021	https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/articles/updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales/8december2020to1december2021	PROPN
aps-108	232	9	https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/articles/updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales/8december2020to1december2021	https://www.ons.gov.uk/peoplepopulationandcommunity/birthsdeathsandmarriages/deaths/articles/updatingethniccontrastsindeathsinvolvingthecoronaviruscovid19englandandwales/8december2020to1december2021	PROPN
aps-108	233	1	https://doi.org/10.1111/adj.12761	https://doi.org/10.1111/adj.12761	PROPN
aps-108	233	2	https://doi.org/10.1007/bf03029444	https://doi.org/10.1007/bf03029444	SCONJ
aps-108	233	3	https://www150.statcan.gc.ca/n1/pub/45-28-0001/2022001/article/00006-eng.htm	https://www150.statcan.gc.ca/n1/pub/45-28-0001/2022001/article/00006-eng.htm	PROPN
aps-108	233	4	https://www.who.int/data/sets/global-excess-deaths-associated-with-covid-19-modelled-estimates	https://www.who.int/data/sets/global-excess-deaths-associated-with-covid-19-modelled-estimate	VERB
aps-108	233	5	https://www.who.int/data/sets/global-excess-deaths-associated-with-covid-19-modelled-estimates	https://www.who.int/data/sets/global-excess-deaths-associated-with-covid-19-modelled-estimate	NOUN