Evidence map›Paper›PMID 34320380›Full record

Observational studyAnnals of epidemiology2022

Increasing concentration of COVID-19 by socioeconomic determinants and geography in Toronto, Canada: an observational study.

Sharmistha Mishra, Huiting Ma, Gary Moloney, Kristy C Y Yiu, Dariya Darvin, David Landsman, Jeffrey C Kwong, Andrew Calzavara, Sharon Straus, Adrienne K Chan and 11 more

Abstract readObservational Study
In one paragraph

Observational study in Annals of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Sharmistha MishraSt. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Division of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Canada. Electronic address: Sharmistha.mishra@utoronto.ca.
Huiting MaSt. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
Gary MoloneySt. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
Kristy C Y YiuSt. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
Dariya DarvinSt. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
David LandsmanSt. Michael's Hospital, Unity Health Toronto, Toronto, Canada.
Jeffrey C KwongICES, Toronto, Canada; Public Health Ontario, Toronto, Canada; Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; University Health Network, Toronto, Canada.
Andrew CalzavaraICES, Toronto, Canada.
Sharon StrausDepartment of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada.
Adrienne K ChanDivision of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada; Division of Infectious Diseases, Sunnybrook Health Sciences, University of Toronto, Toronto, Canada.
Effie GournisDalla Lana School of Public Health, University of Toronto, Toronto, Canada; Toronto Public Health, City of Toronto, Toronto, Canada.
Heather RilkoffPublic Health Ontario, Toronto, Canada.
Yiqing XiaSt. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montréal, Canada.
Alan KatzDepartments of Community Health Sciences and Family Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada.
Tyler WilliamsonDepartment of Community Health Sciences, University of Calgary, Calgary, Canada; Centre for Health Informatics, University of Calgary, Calgary, Canada.
Kamil MalikovCapacity Planning and Analytics Division, Ontario Ministry of Health, Toronto, Canada.
Rafal KustraDalla Lana School of Public Health, University of Toronto, Toronto, Canada.
Mathieu Maheu-GirouxDepartment of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montréal, Canada.
Beate SanderICES, Toronto, Canada; Public Health Ontario, Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada.
Stefan D BaralDepartment of Epidemiology, Johns Hopkins School of Public Health, Baltimore, United States.
COVID-19 Heterogeneity Research GroupSt. Michael's Hospital, Unity Health Toronto, Toronto, Canada; Division of Infectious Diseases, Department of Medicine, University of Toronto, Toronto, Canada; ICES, Toronto, Canada; Public Health Ontario, Toronto, Canada; Department of Family and Community Medicine, Faculty of Medicine, University of Toronto, Toronto, Canada; Dalla Lana School of Public Health, University of Toronto, Toronto, Canada; Department of Medicine, St. Michael's Hospital, University of Toronto, Toronto, Canada; Division of Infectious Diseases, Sunnybrook Health Sciences, University of Toronto, Toronto, Canada; Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto, Canada; Toronto Public Health, City of Toronto, Toronto, Canada; Department of Epidemiology, Biostatistics and Occupational Health, School of Population and Global Health, McGill University, Montréal, Canada; Departments of Community Health Sciences and Family Medicine, Rady Faculty of Health Sciences, University of Manitoba, Winnipeg, Canada; Department of Community Health Sciences, University of Calgary, Calgary, Canada; Centre for Health Informatics, University of Calgary, Calgary, Canada; Capacity Planning and Analytics Division, Ontario Ministry of Health, Toronto, Canada; Department of Epidemiology, Johns Hopkins School of Public Health, Baltimore, United States; University Health Network, Toronto, Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInequities in the burden of COVID-19 were observed early in Canada and around the world, suggesting economically marginalized communities faced disproportionate risks. However, there has been limited systematic assessment of how heterogeneity in risks has evolved in large urban centers over time. PURPOSE: To address this gap, we quantified the magnitude of risk heterogeneity in Toronto, Ontario from January to November 2020 using a retrospective, population-based observational study using surveillance data.

methodsWe generated epidemic curves by social determinants of health (SDOH) and crude Lorenz curves by neighbourhoods to visualize inequities in the distribution of COVID-19 and estimated Gini coefficients. We examined the correlation between SDOH using Pearson-correlation coefficients.

resultsGini coefficient of cumulative cases by population size was 0.41 (95% confidence interval [CI]:0.36-0.47) and estimated for: household income (0.20, 95%CI: 0.14-0.28); visible minority (0.21, 95%CI:0.16-0.28); recent immigration (0.12, 95%CI:0.09-0.16); suitable housing (0.21, 95%CI:0.14-0.30); multigenerational households (0.19, 95%CI:0.15-0.23); and essential workers (0.28, 95%CI:0.23-0.34).

conclusionsThere was rapid epidemiologic transition from higher- to lower-income neighborhoods with Lorenz curve transitioning from below to above the line of equality across SDOH. Moving forward necessitates integrating programs and policies addressing socioeconomic inequities and structural racism into COVID-19 prevention and vaccination programs.

Indexed as

COVID-19GeographyHumansOntarioRetrospective StudiesSARS-CoV-2Socioeconomic FactorsSystemic RacismCOVID-19Disease transmissionGini coefficientsHealth inequityLorenz curvesSARS-CoV-2Social determinants of health

Identifiers

PMID34320380
PMCPMC8730782

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.