tetano
Editor, Senior Moderator
CMAJ Open
. 2020 Oct 9;8(4):E627-E636.
doi: 10.9778/cmajo.20200213. Print Oct-Dec 2020.
Heterogeneity in testing, diagnosis and outcome in SARS-CoV-2 infection across outbreak settings in the Greater Toronto Area, Canada: an observational study
Linwei Wang[SUP] 1 [/SUP], Huiting Ma[SUP] 1 [/SUP], Kristy C Y Yiu[SUP] 1 [/SUP], Andrew Calzavara[SUP] 1 [/SUP], David Landsman[SUP] 1 [/SUP], Linh Luong[SUP] 1 [/SUP], Adrienne K Chan[SUP] 1 [/SUP], Rafal Kustra[SUP] 1 [/SUP], Jeffrey C Kwong[SUP] 1 [/SUP], Marie-Claude Boily[SUP] 1 [/SUP], Stephen Hwang[SUP] 1 [/SUP], Sharon Straus[SUP] 1 [/SUP], Stefan D Baral[SUP] 1 [/SUP], Sharmistha Mishra[SUP] 2 [/SUP]
Affiliations
Abstract
Background: Congregate settings have been disproportionately affected by coronavirus disease 2019 (COVID-19). Our objective was to compare testing for, diagnosis of and death after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection across 3 settings (residents of long-term care homes, people living in shelters and the rest of the population).
Methods: We conducted a population-based prospective cohort study involving individuals tested for SARS-CoV-2 in the Greater Toronto Area between Jan. 23, 2020, and May 20, 2020. We sourced person-level data from COVID-19 surveillance and reporting systems in Ontario. We calculated cumulatively diagnosed cases per capita, proportion tested, proportion tested positive and case-fatality proportion for each setting. We estimated the age- and sex-adjusted rate ratios associated with setting for test positivity and case fatality using quasi-Poisson regression.
Results: Over the study period, a total of 173 092 individuals were tested for and 16 490 individuals were diagnosed with SARS-CoV-2 infection. We observed a shift in the proportion of cumulative cases from all cases being related to travel to cases in residents of long-term care homes (20.4% [3368/16 490]), shelters (2.3% [372/16 490]), other congregate settings (20.9% [3446/16 490]) and community settings (35.4% [5834/16 490]), with cumulative travel-related cases at 4.1% (674/16490). Cumulatively, compared with the rest of the population, the diagnosed cases per capita was 64-fold and 19-fold higher among long-term care home and shelter residents, respectively. By May 20, 2020, 76.3% (21 617/28 316) of long-term care home residents and 2.2% (150 077/6 808 890) of the rest of the population had been tested. After adjusting for age and sex, residents of long-term care homes were 2.4 (95% confidence interval [CI] 2.2-2.7) times more likely to test positive, and those who received a diagnosis of COVID-19 were 1.4-fold (95% CI 1.1-1.8) more likely to die than the rest of the population.
Interpretation: Long-term care homes and shelters had disproportionate diagnosed cases per capita, and residents of long-term care homes diagnosed with COVID-19 had higher case fatality than the rest of the population. Heterogeneity across micro-epidemics among specific populations and settings may reflect underlying heterogeneity in transmission risks, necessitating setting-specific COVID-19 prevention and mitigation strategies.
. 2020 Oct 9;8(4):E627-E636.
doi: 10.9778/cmajo.20200213. Print Oct-Dec 2020.
Heterogeneity in testing, diagnosis and outcome in SARS-CoV-2 infection across outbreak settings in the Greater Toronto Area, Canada: an observational study
Linwei Wang[SUP] 1 [/SUP], Huiting Ma[SUP] 1 [/SUP], Kristy C Y Yiu[SUP] 1 [/SUP], Andrew Calzavara[SUP] 1 [/SUP], David Landsman[SUP] 1 [/SUP], Linh Luong[SUP] 1 [/SUP], Adrienne K Chan[SUP] 1 [/SUP], Rafal Kustra[SUP] 1 [/SUP], Jeffrey C Kwong[SUP] 1 [/SUP], Marie-Claude Boily[SUP] 1 [/SUP], Stephen Hwang[SUP] 1 [/SUP], Sharon Straus[SUP] 1 [/SUP], Stefan D Baral[SUP] 1 [/SUP], Sharmistha Mishra[SUP] 2 [/SUP]
Affiliations
- PMID: 33037070
- DOI: 10.9778/cmajo.20200213
Abstract
Background: Congregate settings have been disproportionately affected by coronavirus disease 2019 (COVID-19). Our objective was to compare testing for, diagnosis of and death after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection across 3 settings (residents of long-term care homes, people living in shelters and the rest of the population).
Methods: We conducted a population-based prospective cohort study involving individuals tested for SARS-CoV-2 in the Greater Toronto Area between Jan. 23, 2020, and May 20, 2020. We sourced person-level data from COVID-19 surveillance and reporting systems in Ontario. We calculated cumulatively diagnosed cases per capita, proportion tested, proportion tested positive and case-fatality proportion for each setting. We estimated the age- and sex-adjusted rate ratios associated with setting for test positivity and case fatality using quasi-Poisson regression.
Results: Over the study period, a total of 173 092 individuals were tested for and 16 490 individuals were diagnosed with SARS-CoV-2 infection. We observed a shift in the proportion of cumulative cases from all cases being related to travel to cases in residents of long-term care homes (20.4% [3368/16 490]), shelters (2.3% [372/16 490]), other congregate settings (20.9% [3446/16 490]) and community settings (35.4% [5834/16 490]), with cumulative travel-related cases at 4.1% (674/16490). Cumulatively, compared with the rest of the population, the diagnosed cases per capita was 64-fold and 19-fold higher among long-term care home and shelter residents, respectively. By May 20, 2020, 76.3% (21 617/28 316) of long-term care home residents and 2.2% (150 077/6 808 890) of the rest of the population had been tested. After adjusting for age and sex, residents of long-term care homes were 2.4 (95% confidence interval [CI] 2.2-2.7) times more likely to test positive, and those who received a diagnosis of COVID-19 were 1.4-fold (95% CI 1.1-1.8) more likely to die than the rest of the population.
Interpretation: Long-term care homes and shelters had disproportionate diagnosed cases per capita, and residents of long-term care homes diagnosed with COVID-19 had higher case fatality than the rest of the population. Heterogeneity across micro-epidemics among specific populations and settings may reflect underlying heterogeneity in transmission risks, necessitating setting-specific COVID-19 prevention and mitigation strategies.