Biomaterial Database

Population mortality during the outbreak of Severe Acute Respiratory Syndrome in Toronto. 2007

Stephen W Hwang, and Angela M Cheung, and Rahim Moineddin, and Chaim M Bell

Centre for Research on Inner City Health, the Keenan Research Centre in the Li Ka Shing Knowledge Institute of St. Michael's Hospital, Toronto, Canada. hwangs@smh.toronto.on.ca

BACKGROUND Extraordinary infection control measures limited access to medical care in the Greater Toronto Area during the 2003 Severe Acute Respiratory Syndrome (SARS) outbreak. The objective of this study was to determine if the period of these infection control measures was associated with changes in overall population mortality due to causes other than SARS. METHODS Observational study of death registry data, using Poisson regression and interrupted time-series analysis to examine all-cause mortality rates (excluding deaths due to SARS) before, during, and after the SARS outbreak. The population of Ontario was grouped into the Greater Toronto Area (N = 2.9 million) and the rest of Ontario (N = 9.3 million) based upon the level of restrictions on delivery of clinical services during the SARS outbreak. RESULTS There was no significant change in mortality in the Greater Toronto Area before, during, and after the period of the SARS outbreak in 2003 compared to the corresponding time periods in 2002 and 2001. The rate ratio for all-cause mortality during the SARS outbreak was 0.99 [95% Confidence Interval (CI) 0.93-1.06] compared to 2002 and 0.96 [95% CI 0.90-1.03] compared to 2001. An interrupted time series analysis found no significant change in mortality rates in the Greater Toronto Area associated with the period of the SARS outbreak. CONCLUSIONS Limitations on access to medical services during the 2003 SARS outbreak in Toronto had no observable impact on short-term population mortality. Effects on morbidity and long-term mortality were not assessed. Efforts to contain future infectious disease outbreaks due to influenza or other agents must consider effects on access to essential health care services.

UI	MeSH Term	Description	Entries
D008297	Male		Males
D008875	Middle Aged	An adult aged 45 - 64 years.	Middle Age
D009864	Ontario	A province of Canada lying between the provinces of Manitoba and Quebec. Its capital is Toronto. It takes its name from Lake Ontario which is said to represent the Iroquois oniatariio, beautiful lake. (From Webster's New Geographical Dictionary, 1988, p892 & Room, Brewer's Dictionary of Names, 1992, p391)
D012042	Registries	The systems and processes involved in the establishment, support, management, and operation of registers, e.g., disease registers.	Parish Registers,Population Register,Parish Register,Population Registers,Register, Parish,Register, Population,Registers, Parish,Registers, Population,Registry
D002423	Cause of Death	Factors which produce cessation of all vital bodily functions. They can be analyzed from an epidemiologic viewpoint.	Causes of Death,Death Cause,Death Causes
D002648	Child	A person 6 to 12 years of age. An individual 2 to 5 years old is CHILD, PRESCHOOL.	Children
D003140	Communicable Disease Control	Programs of surveillance designed to prevent the transmission of disease by any means from person to person or from animal to man.	Flatten the Curve of Epidemic,Flattening the Curve, Communicable Disease Control,Parasite Control,Control, Communicable Disease,Control, Parasite
D004196	Disease Outbreaks	Sudden increase in the incidence of a disease. The concept includes EPIDEMICS and PANDEMICS.	Outbreaks,Infectious Disease Outbreaks,Disease Outbreak,Disease Outbreak, Infectious,Disease Outbreaks, Infectious,Infectious Disease Outbreak,Outbreak, Disease,Outbreak, Infectious Disease,Outbreaks, Disease,Outbreaks, Infectious Disease
D005260	Female		Females
D006801	Humans	Members of the species Homo sapiens.	Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man