Impact of adjustment for differential testing by age and sex on apparent epidemiology of SARS-CoV- 2 infection in Ontario, Canada

Communicable disease surveillance typically relies on case counts for estimates of risk, and counts can be strongly influenced by testing rates. In the Canadian province of Ontario, testing rates varied markedly by age, sex, geography and time over the course of the SARS-CoV-2 pandemic. We applied a...

Full description

Saved in:

Bibliographic Details
Published in:	BMC infectious diseases Vol. 25; no. 1; pp. 589 - 11
Main Authors:	Bosco, Savana, Peng, Amy, Tuite, Ashleigh R., Simmons, Alison, Fisman, David N.
Format:	Journal Article
Language:	English
Published:	London BioMed Central 23.04.2025 BioMed Central Ltd Springer Nature B.V BMC
Subjects:	Adolescent Adult Age Age Factors Age factors in disease Aged Aged, 80 and over Child Child, Preschool COVID-19 COVID-19 - diagnosis COVID-19 - epidemiology COVID-19 Testing - statistics & numerical data Disease Epidemics Epidemiology Estimates Female Geography Households Humans Infant Infant, Newborn Infections Infectious Diseases Internal Medicine Laboratories Male Males Medical Microbiology Medical research Medical tests Medicine Medicine & Public Health Medicine, Experimental Methods Middle Aged Mortality Ontario - epidemiology Pandemics Parasitology Pathogens Prevalence Public health SARS-CoV-2 SARS-CoV-2 - isolation & purification Severe acute respiratory syndrome coronavirus 2 Sex Sex Factors Sex factors in disease Standardization Standardized tests Statistical methods Surveillance Testing Tropical Medicine Validation Viral diseases Young Adult Ontario Canada Ontario Canada Validation SARS-CoV-2 Statistical methods Pandemics Epidemiology Testing
ISSN:	1471-2334, 1471-2334
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!