The Use of Cremation Data for Timely Mortality Surveillance During the COVID-19 Pandemic in Ontario, Canada: Validation Study.
COVID-19
Canada
SARS-CoV-2
cause of death
cremation
cremation data
death
estimate
excess deaths
excess mortality
impact
mortality
mortality data
pandemic
pattern
public health
real-time mortality
trend
utility
validation
vital statistics
Journal
JMIR public health and surveillance
ISSN: 2369-2960
Titre abrégé: JMIR Public Health Surveill
Pays: Canada
ID NLM: 101669345
Informations de publication
Date de publication:
21 02 2022
21 02 2022
Historique:
received:
27
07
2021
accepted:
06
01
2022
revised:
02
01
2022
pubmed:
18
1
2022
medline:
25
2
2022
entrez:
17
1
2022
Statut:
epublish
Résumé
Early estimates of excess mortality are crucial for understanding the impact of COVID-19. However, there is a lag of several months in the reporting of vital statistics mortality data for many jurisdictions, including across Canada. In Ontario, a Canadian province, certification by a coroner is required before cremation can occur, creating real-time mortality data that encompasses the majority of deaths within the province. This study aimed to validate the use of cremation data as a timely surveillance tool for all-cause mortality during a public health emergency in a jurisdiction with delays in vital statistics data. Specifically, this study aimed to validate this surveillance tool by determining the stability, timeliness, and robustness of its real-time estimation of all-cause mortality. Cremation records from January 2020 until April 2021 were compared to the historical records from 2017 to 2019, grouped according to week, age, sex, and whether COVID-19 was the cause of death. Cremation data were compared to Ontario's provisional vital statistics mortality data released by Statistics Canada. The 2020 and 2021 records were then compared to previous years (2017-2019) to determine whether there was excess mortality within various age groups and whether deaths attributed to COVID-19 accounted for the entirety of the excess mortality. Between 2017 and 2019, cremations were performed for 67.4% (95% CI 67.3%-67.5%) of deaths. The proportion of cremated deaths remained stable throughout 2020, even within age and sex categories. Cremation records are 99% complete within 3 weeks of the date of death, which precedes the compilation of vital statistics data by several months. Consequently, during the first wave (from April to June 2020), cremation records detected a 16.9% increase (95% CI 14.6%-19.3%) in all-cause mortality, a finding that was confirmed several months later with cremation data. The percentage of Ontarians cremated and the completion of cremation data several months before vital statistics did not change meaningfully during the COVID-19 pandemic period, establishing that the pandemic did not significantly alter cremation practices. Cremation data can be used to accurately estimate all-cause mortality in near real-time, particularly when real-time mortality estimates are needed to inform policy decisions for public health measures. The accuracy of this excess mortality estimation was confirmed by comparing it with official vital statistics data. These findings demonstrate the utility of cremation data as a complementary data source for timely mortality information during public health emergencies.
Sections du résumé
BACKGROUND
Early estimates of excess mortality are crucial for understanding the impact of COVID-19. However, there is a lag of several months in the reporting of vital statistics mortality data for many jurisdictions, including across Canada. In Ontario, a Canadian province, certification by a coroner is required before cremation can occur, creating real-time mortality data that encompasses the majority of deaths within the province.
OBJECTIVE
This study aimed to validate the use of cremation data as a timely surveillance tool for all-cause mortality during a public health emergency in a jurisdiction with delays in vital statistics data. Specifically, this study aimed to validate this surveillance tool by determining the stability, timeliness, and robustness of its real-time estimation of all-cause mortality.
METHODS
Cremation records from January 2020 until April 2021 were compared to the historical records from 2017 to 2019, grouped according to week, age, sex, and whether COVID-19 was the cause of death. Cremation data were compared to Ontario's provisional vital statistics mortality data released by Statistics Canada. The 2020 and 2021 records were then compared to previous years (2017-2019) to determine whether there was excess mortality within various age groups and whether deaths attributed to COVID-19 accounted for the entirety of the excess mortality.
RESULTS
Between 2017 and 2019, cremations were performed for 67.4% (95% CI 67.3%-67.5%) of deaths. The proportion of cremated deaths remained stable throughout 2020, even within age and sex categories. Cremation records are 99% complete within 3 weeks of the date of death, which precedes the compilation of vital statistics data by several months. Consequently, during the first wave (from April to June 2020), cremation records detected a 16.9% increase (95% CI 14.6%-19.3%) in all-cause mortality, a finding that was confirmed several months later with cremation data.
CONCLUSIONS
The percentage of Ontarians cremated and the completion of cremation data several months before vital statistics did not change meaningfully during the COVID-19 pandemic period, establishing that the pandemic did not significantly alter cremation practices. Cremation data can be used to accurately estimate all-cause mortality in near real-time, particularly when real-time mortality estimates are needed to inform policy decisions for public health measures. The accuracy of this excess mortality estimation was confirmed by comparing it with official vital statistics data. These findings demonstrate the utility of cremation data as a complementary data source for timely mortality information during public health emergencies.
Identifiants
pubmed: 35038302
pii: v8i2e32426
doi: 10.2196/32426
pmc: PMC8862761
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
e32426Informations de copyright
©Gemma Postill, Regan Murray, Andrew S Wilton, Richard A Wells, Renee Sirbu, Mark J Daley, Laura Rosella. Originally published in JMIR Public Health and Surveillance (https://publichealth.jmir.org), 21.02.2022.
Références
MMWR Morb Mortal Wkly Rep. 2020 May 15;69(19):603-605
pubmed: 32407306
Lancet Psychiatry. 2020 Jun;7(6):468-471
pubmed: 32330430
Eur J Public Health. 2021 Feb 1;31(1):17-22
pubmed: 33169145
MMWR Recomm Rep. 2001 Jul 27;50(RR-13):1-35; quiz CE1-7
pubmed: 18634202
Epidemiol Infect. 2020 Oct 29;148:e264
pubmed: 33115546
Euro Surveill. 2020 Jul;25(26):
pubmed: 32643601
Euro Surveill. 2020 Jul;25(28):
pubmed: 32700669
J Epidemiol Glob Health. 2020 Sep;10(3):209-213
pubmed: 32954711
Clin Res Cardiol. 2020 Dec;109(12):1476-1482
pubmed: 32494921
Elife. 2021 Jun 30;10:
pubmed: 34190045
N Engl J Med. 2020 Jun 11;382(24):2368-2371
pubmed: 32302076
Lancet Oncol. 2020 Jun;21(6):750-751
pubmed: 32359403
CJC Open. 2020 Dec 15;:
pubmed: 33521615
CMAJ. 2021 May 25;193(21):E753-E760
pubmed: 34035055
JAMA. 2021 Apr 2;:
pubmed: 33797550
Nat Med. 2020 Dec;26(12):1919-1928
pubmed: 33057181
J Infect. 2020 Nov;81(5):797-801
pubmed: 32956730
JMIR Public Health Surveill. 2022 Feb 21;8(2):e32426
pubmed: 35038302
Catheter Cardiovasc Interv. 2021 Feb 1;97(2):208-214
pubmed: 32478961