Assessment of Seroprevalence to SARS-CoV-2 in Various Population Cohorts Using Logit Regression Models During Initial Period of Herd Immunity Formation
| Autor: | V. A. Mishchenko, M. V. Pitersky, Т. A. Platonova, S. S. Smirnova, I. V. Vyalykh, I. P. Bykov, L. G. Vyatkina, T. V. Makhorina, A. M. Orlov, N. G. Popkova, A. V. Semenov |
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| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Problems of Particularly Dangerous Infections. :113-121 |
| ISSN: | 2658-719X 0370-1069 |
| DOI: | 10.21055/0370-1069-2022-1-113-121 |
| Popis: | The aim of the study was to assess the dynamics of seroprevalence to SARS-CoV-2 in various population groups during the initial period of herd immunity formation based on multivariate analysis using logit regression models.Materials and methods. The study involved 1561 individuals divided into three population cohorts: people living with HIV/AIDS (PLHA), healthy blood donors, medical workers. The presence of antibodies to SARS-CoV-2 was determined in blood serum through ELISA using commercial reagent kits. Multivariate analysis of the dynamics of seroprevalence to SARS-CoV-2 was carried out using logistic regression models.Results and discussion. It has been revealed that probability of detecting IgG antibodies to SARS-CoV-2 significantly increased among the donors and medical workers in the spring-autumn 2020 series (p=0.005 и p |
| Databáze: | OpenAIRE |
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