Population-based surveys of antibodies against SARS-CoV-2 in Southern Brazil.


Journal

Nature medicine
ISSN: 1546-170X
Titre abrégé: Nat Med
Pays: United States
ID NLM: 9502015

Informations de publication

Date de publication:
08 2020
Historique:
received: 30 04 2020
accepted: 24 06 2020
pubmed: 10 7 2020
medline: 28 8 2020
entrez: 10 7 2020
Statut: ppublish

Résumé

Population-based data on COVID-19 are urgently needed. We report on three rounds of probability sample household surveys in the state of Rio Grande do Sul (Brazil), carried out in nine large municipalities using the Wondfo lateral flow point-of-care test for immunoglobulin M and G antibodies against SARS-CoV-2 (https://en.wondfo.com.cn/product/wondfo-sars-cov-2-antibody-test-lateral-flow-method-2/). Before survey use, the assay underwent four validation studies with pooled estimates of sensitivity (84.8%; 95% confidence interval (CI) = 81.4-87.8%) and specificity (99.0%; 95% CI = 97.8-99.7%). We calculated that the seroprevalence was 0.048% (2/4,151; 95% CI = 0.006-0.174) on 11-13 April (round 1), 0.135% (6/4,460; 95% CI = 0.049-0.293%) on 25-27 April (round 2) and 0.222% (10/4,500; 95% CI = 0.107-0.408) on 9-11 May (round 3), with a significant upward trend over the course of the surveys. Of 37 family members of positive individuals, 17 (35%) were also positive. The epidemic is at an early stage in the state, and there is high compliance with social distancing, unlike in other parts of Brazil. Periodic survey rounds will continue to monitor trends until at least the end of September, and our population-based data will inform decisions on preventive policies and health system preparedness at the state level.

Identifiants

pubmed: 32641783
doi: 10.1038/s41591-020-0992-3
pii: 10.1038/s41591-020-0992-3
doi:

Substances chimiques

Antibodies, Viral 0
Immunoglobulin M 0

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

1196-1199

Références

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Auteurs

Mariângela F Silveira (MF)

Universidade Federal de Pelotas, Pelotas, Brazil.

Aluísio J D Barros (AJD)

Universidade Federal de Pelotas, Pelotas, Brazil.

Bernardo L Horta (BL)

Universidade Federal de Pelotas, Pelotas, Brazil.

Lúcia C Pellanda (LC)

Fundação Universidade Federal de Ciências de Saúde de Porto Alegre, Porto Alegre, Brazil.

Gabriel D Victora (GD)

Laboratory of Lymphocyte Dynamics, Rockefeller University, New York, NY, United States.

Odir A Dellagostin (OA)

Universidade Federal de Pelotas, Pelotas, Brazil.

Claudio J Struchiner (CJ)

Fundação Getúlio Vargas, Rio de Janeiro, Brazil.

Marcelo N Burattini (MN)

Universidade de São Paulo, São Paulo, Brazil.

Andréia R M Valim (ARM)

Universidade de Santa Cruz do Sul, Santa Cruz do Sul, Brazil.

Evelise M Berlezi (EM)

Universidade de Ijuí, Ijuí, Brazil.

Jeovany M Mesa (JM)

IMED Passo Fundo, Passo Fundo, Brazil.

Maria Letícia R Ikeda (MLR)

Universidade do Vale do Rio dos Sinos, São Leopoldo, Brazil.

Marilia A Mesenburg (MA)

Fundação Universidade Federal de Ciências de Saúde de Porto Alegre, Porto Alegre, Brazil.

Marina Mantesso (M)

Universidade de Caxias do Sul, Caxias do Sul, Brazil.

Marinel M Dall'Agnol (MM)

Universidade Federal de Santa Maria, Santa Maria, Brazil.

Raqueli A Bittencourt (RA)

Secretaria Municipal de Saúde de Uruguaiana, Uruguaiana, Brazil.

Fernando P Hartwig (FP)

Universidade Federal de Pelotas, Pelotas, Brazil.

Ana M B Menezes (AMB)

Universidade Federal de Pelotas, Pelotas, Brazil.

Fernando C Barros (FC)

Universidade Federal de Pelotas, Pelotas, Brazil.

Pedro C Hallal (PC)

Universidade Federal de Pelotas, Pelotas, Brazil. prchallal@gmail.com.

Cesar G Victora (CG)

Universidade Federal de Pelotas, Pelotas, Brazil.

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Classifications MeSH