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https://www.arca.fiocruz.br/handle/icict/55983
RELIABLE ESTIMATION OF SARS-COV-2 ANTI-SPIKE PROTEIN IGG TITERS FROM SINGLE DILUTION OPTICAL DENSITY VALUES IN SEROLOGIC SURVEYS
Author
Affilliation
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, CT, United States.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, CT, United States.
University of Florida. Department of Biology. Gainesville, FL, United States / University of Florida. Emerging Pathogens Institute. Gainesville, FL, United States.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, CT, United States.
Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, CT, United States
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Faculdade de Medicina. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, CT, United States.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Universidade Federal da Bahia. Instituto de Saúde Coletiva. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, CT, United States.
University of Florida. Department of Biology. Gainesville, FL, United States / University of Florida. Emerging Pathogens Institute. Gainesville, FL, United States.
Fundação Oswaldo Cruz. Instituto Gonçalo Moniz. Salvador, BA, Brasil / Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, CT, United States.
Yale School of Public Health. Department of Epidemiology of Microbial Diseases. New Haven, CT, United States
Abstract
Reliable and scalable seroepidemiology methods are needed to estimate SARS-CoV-2 incidence and monitor the dynamics of population-level immunity as the pandemic evolves. We aimed to evaluate the reliability of SARS-CoV-2 normalized ELISA optical density (nOD) at a single dilution compared to titers derived from serial dilutions. We conducted serial serosurveys within a community-based cohort in Salvador, Brazil. AntiS IgG ELISA (Euroimmun AG) was performed with 5 serial 3-fold dilutions of paired sera from 54 participants. Changes in nOD reliably predicted increases and decreases in titers (98.1% agreement, k = 95.8%). Fitting the relationship between nOD and interpolated titers to a log-log curve yields highly accurate predictions of titers (r2 = 0.995) and changes in titers (r2 = 0.975), using only 1 to 2 dilutions. This approach can significantly reduce the time, labor and resources needed for large-scale erosurveys to ascertain population-level changes in exposure and immunity .
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