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Charles H, Fátima CV, Lucio V, María KA, Johar C, Kevin P, Luz BV, Guido GA, Eduarda BC, Sebastian MN, Heber QJ, Matilde QY, Karla ZV, Liesbeth HF, Javier RE, Juan SR, Antonio BO. Differences in SARS-COV-2 seroprevalence in the population of Cusco, Peru. Glob Epidemiol 2024; 7:100131. [PMID: 38188037 PMCID: PMC10767270 DOI: 10.1016/j.gloepi.2023.100131] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2023] [Revised: 11/22/2023] [Accepted: 11/27/2023] [Indexed: 01/09/2024] Open
Abstract
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.
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Affiliation(s)
| | - Concha-Velasco Fátima
- Dirección de Epidemiología e Investigación - Gerencia Regional de Salud del Cusco, Cusco, Peru
- Universidad Continental, Cusco, Peru
| | - Velásquez Lucio
- Universidad Andina del Cusco, Cusco, Peru
- Unidad de Epidemiología, Hospital Nacional Adolfo Guevara Velasco, Cusco, Peru
| | - K. Antich María
- Dirección de Epidemiología e Investigación - Gerencia Regional de Salud del Cusco, Cusco, Peru
- Universidad Peruana Cayetano Heredia, Lima, Peru
| | - Cassa Johar
- Dirección de Epidemiología e Investigación - Gerencia Regional de Salud del Cusco, Cusco, Peru
- Universidad Nacional San Antonio Abad del Cusco, Cusco, Peru
| | - Palacios Kevin
- Dirección de Epidemiología e Investigación - Gerencia Regional de Salud del Cusco, Cusco, Peru
| | | | | | | | | | - Quispe-Jihuallanca Heber
- Dirección de Inteligencia Sanitaria, Red de Servicios de Salud de Canas Canchis Espinar, Cusco, Peru
| | - Quispe-Yana Matilde
- Dirección de Inteligencia Sanitaria, Red de Servicios de La Convención, Cusco, Peru
| | - Zavala-Vargas Karla
- Dirección de Inteligencia Sanitaria – Gerencia Regional de Salud Cusco, Peru
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