Differences in SARS-COV-2 seroprevalence in the population of Cusco, Peru

Charles Huamaní, Fátima Concha-Velasco, Lucio Velásquez, María K. Antich, Johar Cassa, Kevin Palacios, Luz Bernable-Villasante, Guido Giraldo-Alencastre, Eduarda Benites-Calderon, Sebastian Mendieta-Nuñez, Heber Quispe-Jihuallanca, Matilde Quispe-Yana, Karla Zavala-Vargas, Liesbeth Hinojosa-Florez, Javier Ramírez-Escobar, Juan Spelucin-Runciman, Antonio Bernabe-Ortiz

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Resumen

Background: The spread of the coronavirus disease 2019 (COVID-19) in Peru has been reported at the regional level, few studies have evaluated its spread at the provincial level, in which the mechanisms could be different. Methods: We conducted an analytical, cross-sectional, multistage observational population study to assess the seroprevalence of SARS-COV-2 at the provincial and urban/rural levels in a high-altitude setting. The sampling unit was the household, including a randomly selected family member. Sampling was performed using a data collection sheet on clinical and epidemiological variables. Chemiluminescence tests were used to detect total anti-SARS-COV-2 antibodies (IgG and IgM simultaneously). The percentages were adjusted to the sampling design. Results: The overall prevalence in the region of Cusco was 25.9%, with considerably different prevalence between the 13 provinces (from 15.9% in Acomayo to 40.1% in Canchis) and between rural (21.1%) and urban (31.7%) areas. In multivariable model, living in a rural area was a protective factor (adjusted prevalence ratio [aPR], 0.68; 95% confidence interval [CI], 0.61–0.76). Conclusions: Geographic diversity and population density determine different prevalence rates, typically lower in rural areas, possibly due to natural social distancing or limited interaction with people at risk.

Idioma originalInglés estadounidense
-100131
PublicaciónGlobal Epidemiology
Volumen7
DOI
EstadoIndizado - jun. 2024

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