Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile

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dc.contributor.authorVial, Pablo
dc.contributor.authorGonzález, Claudia
dc.contributor.authorIcaza, Gloria
dc.contributor.authorRamirez‐Santana, Muriel
dc.contributor.authorQuezada‐Gaete, Rubén
dc.contributor.authorNúñez‐Franz, Loreto
dc.contributor.authorApablaza, Mauricio
dc.contributor.authorVial, Cecilia
dc.contributor.authorRubilar, Paola
dc.contributor.authorCorrea, Juan
dc.contributor.authorPérez, Claudia
dc.contributor.authorFlorea, Andrei
dc.contributor.authorGuzmán, Eugenio
dc.contributor.authorLavín, María Estela
dc.contributor.authorConcha, Paula
dc.contributor.authorNájera, Manuel
dc.contributor.authorAguilera, Ximena
dc.date.accessioned2022-03-15T15:38:08Z
dc.date.available2022-03-15T15:38:08Z
dc.date.issued2022
dc.description
dc.description.abstractBackground: Seroprevalence studies provide an accurate measure of SARS-CoV-2 spread and the presence of asymptomatic cases. They also provide information on the uneven impact of the pandemic, pointing out vulnerable groups to prioritize which is particularly relevant in unequal societies. However, due to their high cost, they provide limited evidence of spatial spread of the pandemic specially in unequal societies. Our objective was to estimate the prevalence of SARS-CoV-2 antibodies in Chile and model its spatial risk distribution. Methods: During Oct–Nov 2020, we conducted a population-based serosurvey in Santiago, Talca, and Coquimbo–La Serena (2493 individuals). We explored the individual association between positive results and socio-economic and health-related variables by logistic regression for complex surveys. Then, using an Empirical Bayesian Kriging model, we estimated the infection risk spatial distribution using individual and census information, and compared these results with ofcial records. Results: Seroprevalence was 10.4% (95% CI 7.8–13.7%), ranging from 2% (Talca) to 11% (Santiago), almost three times the number ofcially reported. Approximately 36% of these were asymptomatic, reaching 82% below 15 years old. Seroprevalence was associated with the city of residence, previous COVID-19 diagnosis, contact with confrmed cases (especially at household), and foreign nationality. The spatial model accurately interpolated the distribution of disease risk within the cities fnding signifcant diferences in the predicted probabilities of SARS-CoV-2 infection by census zone (IQR 2.5–15.0%), related to population density and education. Conclusions: Our results underscore the transmission heterogeneity of SARS-CoV-2 within and across three urban centers of Chile. Socio-economic factors and the outcomes of this seroprevalence study enable us to identify priority areas for intervention. Our methodological approach and results can help guide the design of interdisciplinary strate‐ gies for urban contexts, not only for SARS-CoV-2 but also for other communicable diseases.es
dc.description.versionVersión Publicadaes
dc.identifier.citationVial, P., González, C., Icaza, G. et al. Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile. BMC Infect Dis 22, 99 (2022). https://doi.org/10.1186/s12879-022-07045-7es
dc.identifier.urihttps://doi.org/10.1186/s12879-022-07045-7es
dc.identifier.urihttp://hdl.handle.net/11447/5721
dc.language.isoenes
dc.relation.projectFunding: ANID COVID-19-0589.
dc.subjectCOVID-19es
dc.subjectSeroprevalencees
dc.subjectSpatial analysises
dc.subjectChilees
dc.subjectCase fatality ratioes
dc.subjectAttack ratees
dc.subjectSecondary attack ratees
dc.subjectGeographyes
dc.subjectHousehold transmissiones
dc.titleSeroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chilees
dc.typeArticlees
dcterms.sourceBMC Infectious Diseaseses

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