TY - JOUR AU - Chaves, Daniel Gonçalves AU - Takahashi, Ricardo Hiroshi Caldeira AU - Campelo, Felipe AU - da Silva Malta, Maria Clara Fernandes AU - de Oliveira, Isabelle Rocha AU - Barbosa-Stancioli, Edel Figueiredo AU - Ribeiro, Maísa Aparecida AU - Martins, Marina Lobato T1 - SARS-CoV-2 IgG Seroprevalence among Blood Donors as a Monitor of the COVID-19 Epidemic, Brazil T2 - Emerging Infectious Disease journal PY - 2022 VL - 28 IS - 4 SP - 734 SN - 1080-6059 AB - 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. KW - COVID-19 KW - respiratory infections KW - severe acute respiratory syndrome coronavirus 2 KW - SARS-CoV-2 KW - SARS KW - coronavirus disease KW - zoonoses KW - viruses KW - coronavirus KW - blood donor KW - epidemic model KW - seroprevalence KW - Brazil DO - 10.3201/eid2804.211961 UR - https://wwwnc.cdc.gov/eid/article/28/4/21-1961_article ER - End of Reference