SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil

Details

• Alternative Title:
  Emerg Infect Dis
• Personal Author:
  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
• 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.
• Subjects:
  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
• Volume:
  28
• Issue:
  4
• Collection(s):
  Emerging Infectious Diseases
• Main Document Checksum:
  urn:sha256:f1920dafd872a2d00a0f8649b9ad6c05502eecf850bfcd25eb43541510b2f277
• Download URL:
  https://stacks.cdc.gov/view/cdc/116331/cdc_116331_DS1.pdf
• File Type:
  [PDF - 2.12 MB ]