Your browser doesn't support javascript.
Global seroprevalence of SARS-CoV-2 antibodies: A systematic review and meta-analysis.
Bobrovitz, Niklas; Arora, Rahul Krishan; Cao, Christian; Boucher, Emily; Liu, Michael; Donnici, Claire; Yanes-Lane, Mercedes; Whelan, Mairead; Perlman-Arrow, Sara; Chen, Judy; Rahim, Hannah; Ilincic, Natasha; Segal, Mitchell; Duarte, Nathan; Van Wyk, Jordan; Yan, Tingting; Atmaja, Austin; Rocco, Simona; Joseph, Abel; Penny, Lucas; Clifton, David A; Williamson, Tyler; Yansouni, Cedric P; Evans, Timothy Grant; Chevrier, Jonathan; Papenburg, Jesse; Cheng, Matthew P.
  • Bobrovitz N; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Arora RK; Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Cao C; Institute of Biomedical Engineering, Department of Engineering Science, University of Oxford, Oxford, United Kingdom.
  • Boucher E; Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
  • Liu M; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Donnici C; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Yanes-Lane M; Department of Social Policy and Intervention, University of Oxford, Oxford, United Kingdom.
  • Whelan M; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Perlman-Arrow S; COVID-19 Immunity Task Force, McGill University, Montreal, Quebec, Canada.
  • Chen J; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Rahim H; School of Population and Global Health, McGill University, Montreal, Quebec, Canada.
  • Ilincic N; Faculty of Medicine and Health Sciences, McGill University, Montreal, Quebec, Canada.
  • Segal M; Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Duarte N; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Van Wyk J; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Yan T; Faculty of Engineering, University of Waterloo, Waterloo, Ontario, Canada.
  • Atmaja A; Faculty of Engineering, University of Waterloo, Waterloo, Ontario, Canada.
  • Rocco S; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Joseph A; Faculty of Engineering, University of Waterloo, Waterloo, Ontario, Canada.
  • Penny L; Faculty of Engineering, University of Waterloo, Waterloo, Ontario, Canada.
  • Clifton DA; Faculty of Engineering, University of Waterloo, Waterloo, Ontario, Canada.
  • Williamson T; Temerty Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada.
  • Yansouni CP; Department of Critical Care Medicine, University of Calgary, Calgary, Alberta, Canada.
  • Evans TG; Department of Community Health Sciences, University of Calgary, Calgary, Alberta, Canada.
  • Chevrier J; JD MacLean Centre for Tropical Diseases, McGill University, Montreal, Quebec, Canada.
  • Papenburg J; Divisions of Infectious Diseases and Medical Microbiology, McGill University Health Centre, Montreal, Quebec, Canada.
  • Cheng MP; School of Population and Global Health, McGill University, Montreal, Quebec, Canada.
PLoS One ; 16(6): e0252617, 2021.
Article in English | MEDLINE | ID: covidwho-1280619
Preprint
This scientific journal article is probably based on a previously available preprint. It has been identified through a machine matching algorithm, human confirmation is still pending.
See preprint
ABSTRACT

BACKGROUND:

Many studies report the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) antibodies. We aimed to synthesize seroprevalence data to better estimate the level and distribution of SARS-CoV-2 infection, identify high-risk groups, and inform public health decision making.

METHODS:

In this systematic review and meta-analysis, we searched publication databases, preprint servers, and grey literature sources for seroepidemiological study reports, from January 1, 2020 to December 31, 2020. We included studies that reported a sample size, study date, location, and seroprevalence estimate. We corrected estimates for imperfect test accuracy with Bayesian measurement error models, conducted meta-analysis to identify demographic differences in the prevalence of SARS-CoV-2 antibodies, and meta-regression to identify study-level factors associated with seroprevalence. We compared region-specific seroprevalence data to confirmed cumulative incidence. PROSPERO CRD42020183634.

RESULTS:

We identified 968 seroprevalence studies including 9.3 million participants in 74 countries. There were 472 studies (49%) at low or moderate risk of bias. Seroprevalence was low in the general population (median 4.5%, IQR 2.4-8.4%); however, it varied widely in specific populations from low (0.6% perinatal) to high (59% persons in assisted living and long-term care facilities). Median seroprevalence also varied by Global Burden of Disease region, from 0.6% in Southeast Asia, East Asia and Oceania to 19.5% in Sub-Saharan Africa (p<0.001). National studies had lower seroprevalence estimates than regional and local studies (p<0.001). Compared to Caucasian persons, Black persons (prevalence ratio [RR] 3.37, 95% CI 2.64-4.29), Asian persons (RR 2.47, 95% CI 1.96-3.11), Indigenous persons (RR 5.47, 95% CI 1.01-32.6), and multi-racial persons (RR 1.89, 95% CI 1.60-2.24) were more likely to be seropositive. Seroprevalence was higher among people ages 18-64 compared to 65 and over (RR 1.27, 95% CI 1.11-1.45). Health care workers in contact with infected persons had a 2.10 times (95% CI 1.28-3.44) higher risk compared to health care workers without known contact. There was no difference in seroprevalence between sex groups. Seroprevalence estimates from national studies were a median 18.1 times (IQR 5.9-38.7) higher than the corresponding SARS-CoV-2 cumulative incidence, but there was large variation between Global Burden of Disease regions from 6.7 in South Asia to 602.5 in Sub-Saharan Africa. Notable methodological limitations of serosurveys included absent reporting of test information, no statistical correction for demographics or test sensitivity and specificity, use of non-probability sampling and use of non-representative sample frames.

DISCUSSION:

Most of the population remains susceptible to SARS-CoV-2 infection. Public health measures must be improved to protect disproportionately affected groups, including racial and ethnic minorities, until vaccine-derived herd immunity is achieved. Improvements in serosurvey design and reporting are needed for ongoing monitoring of infection prevalence and the pandemic response.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Antibodies, Viral Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Vaccines Limits: Adolescent / Adult / Aged / Child / Humans / Middle aged / Young adult Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0252617

Similar

MEDLINE

...
LILACS

LIS


Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 / Antibodies, Viral Type of study: Diagnostic study / Experimental Studies / Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Vaccines Limits: Adolescent / Adult / Aged / Child / Humans / Middle aged / Young adult Language: English Journal: PLoS One Journal subject: Science / Medicine Year: 2021 Document Type: Article Affiliation country: Journal.pone.0252617