Details:

Alternative Title:
Emerg Infect Dis
Publisher's site:
http://dx.doi.org/10.3201/eid2804.211961
Personal Author:
Chaves, Daniel Gonçalves ; Takahashi, Ricardo Hiroshi Caldeira ; Campelo, Felipe ; da Silva Malta, Maria Clara Fernandes ; de Oliveira, Isabelle Rocha ; ... More +
Chaves, Daniel Gonçalves ; Takahashi, Ricardo Hiroshi Caldeira ; Campelo, Felipe ; da Silva Malta, Maria Clara Fernandes ; de Oliveira, Isabelle Rocha ; Barbosa-Stancioli, Edel Figueiredo ; Ribeiro, Maísa Aparecida ; Martins, Marina Lobato Less -
Description:
During epidemics, data from different sources can provide information on varying aspects of the epidemic process. Serology-based epidemiologic surveys could be used to compose a consistent epidemic scenario. We assessed the seroprevalence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) IgG in serum samples collected from 7,837 blood donors in 7 cities of Brazil during March-December 2020. Based on our results, we propose a modification in a compartmental model that uses reported number of SARS-CoV-2 cases and serology results from blood donors as inputs and delivers estimates of hidden variables, such as daily values of SARS-CoV-2 transmission rates and cumulative incidence rate of reported and unreported SARS-CoV-2 cases. We concluded that the information about cumulative incidence of a disease in a city's population can be obtained by testing serum samples collected from blood donors. Our proposed method also can be extended to surveillance of other infectious diseases.
Subject:
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Antibodies, Viral
Blood Donors
COVID-19
Epidemics
Humans
Immunoglobulin G
SARS-CoV-2
Seroepidemiologic Studies

Source:
Emerg Infect Dis. 2022; 28(4):734-742
Pubmed ID:
35180375
Pubmed Central ID:
PMC8962887
Document Type:
Journal Article
Place as Subject:
Brazil
Collection(s):
Emerging Infectious Diseases
Main Document Checksum:
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urn:sha256:f1920dafd872a2d00a0f8649b9ad6c05502eecf850bfcd25eb43541510b2f277
File Type:

Supporting Files

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  	21-1961-Techapp-s1.pdf	pdf
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