Población y Salud en Mesoamérica ISSN electrónico: 1659-0201

OAI: https://revistas.ucr.ac.cr/index.php/psm/oai
Seroprevalence of antibodies against SARS-Cov-2 among adults from a municipality in the Buenos Aires suburbs, República Argentina
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Keywords

COVID-19
seropravelence
cross sectional study
COVID-19
seroprevalencia
estudio transversal

How to Cite

Consiglio, E., Freytes, C. ., Facal, L. ., Dus Santos, M. J. ., Radgtky Caffera, M. ., Mozgovoj, M. ., Robledo, I. C., Pilloff, M. ., Fernandez Souto, A. ., & Pedrosa, J. . (2023). Seroprevalence of antibodies against SARS-Cov-2 among adults from a municipality in the Buenos Aires suburbs, República Argentina. Población Y Salud En Mesoamérica, 21(1). https://doi.org/10.15517/psm.v21i1.53436

Abstract

The objective of this study was to determine the prevalence of anti-bodies against SARS-CoV-2. Between November twenty-one and December twelve of two thousand and twenty year, a cross-sectional study was carried out in 1182 samples from residents of a Buenos Aires town in the Province of Buenos Aires, Argentina. IgG was measured by ELISA in samples obtained by acupressure. The global prevalence was 12.2 % (n = 144; 95 % CI: 10.3 - 14.0) with a ratio of 1: 3.8, between cumulative incidence and observational values. Prevalence in women and men were 13.0 % (95 % CI: 10.2 - 15.7) and 10.5 % (95 % CI: 7.6 - 13.3), respectively (p = 0.21). By age, the observed values were: 17.8 % (95 % CI: 12.0 - 23.6) in 18 and 30 years old group; 12.2 % (95 % CI: 9.3 - 15.1) in 31 to 60 years old group, 9.9 % (95 % CI: 6.9 - 13.9) in people over 61 years old (p = 0.02). According the socioeconomic tertiles (for Unsatisfied Basic Needs) the prevalence values were 7.7 % (95 % CI: 4.7 - 10.7) for Tertile I (best tertile), 12.5 % (95 % CI: 8.7 - 16.4) for Tertile II, and 15.2 % (95 % CI: 11.6 - 18.8) for Tertile III (p = 0.002). There were also differences between the neighbourhoods and between self-reported clinical variables. Specific IgM antibodies were detected in 12 samples, which represented 1% of the total. Seroprevalence studies provide useful information that can be apllied to fit modeling.

https://doi.org/10.15517/psm.v21i1.53436
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Copyright (c) 2023 Ezequiel Consiglio, Carlos Freytes, Leandro Facal, María José Dus Santos, Magdalena Radgty Caffera, Marina Mozgovoj, Iris Celeste Robledo, Marcela Pilloff, Adriana Fernandez Souto, Juan Pedrosa

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