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Author: search.filters.author.Eugenio GuzmánHas files: No

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    Scopus© Citations 4  7
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    Trust via disasters: the case of Chile's 2010 earthquake
    (2014)
    Francisca Dussaillant
    ;
    Eugenio Guzmán
    <jats:p>Chile has a long‐standing history of natural disasters and, in particular, earthquakes. The latest big earthquake hit Chile on 27 February 2010 with a magnitude of 8.8 on the Richter scale. As an event that had a profound impact on significant portions of the population, the earthquake could theoretically have served to build trust by promoting new trust networks through the enhancement of distant family ties and the interaction between affected neighbours. This study offers an empirical analysis of this theory in the Chilean case. It finds that if initial social capital is very low (thus allowing for post‐disaster looting and violence), then the impact of the trust‐increasing effect is smaller. It also shows that the effect of the disaster was not transitory, but that it persisted and actually increased over time.</jats:p>
      4Scopus© Citations 74
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    Seroprevalence, spatial distribution, and social determinants of SARS-CoV-2 in three urban centers of Chile
    (2022)
    VIAL CLARO, PABLO AGUSTIN  
    ;
    GONZALEZ WIEDMAIER, CLAUDIA MARTA  
    ;
    Gloria Icaza
    ;
    Muriel Ramirez-Santana
    ;
    Rubén Quezada-Gaete
    <jats:title>Abstract</jats:title><jats:sec> <jats:title>Background</jats:title> <jats:p>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.</jats:p> </jats:sec><jats:sec> <jats:title>Methods</jats:title> <jats:p>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 official records.</jats:p> </jats:sec><jats:sec> <jats:title>Results</jats:title> <jats:p>Seroprevalence was 10.4% (95% CI 7.8–13.7%), ranging from 2% (Talca) to 11% (Santiago), almost three times the number officially 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 confirmed cases (especially at household), and foreign nationality. The spatial model accurately interpolated the distribution of disease risk within the cities finding significant differences in the predicted probabilities of SARS-CoV-2 infection by census zone (IQR 2.5–15.0%), related to population density and education.</jats:p> </jats:sec><jats:sec> <jats:title>Conclusions</jats:title> <jats:p>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 strategies for urban contexts, not only for SARS-CoV-2 but also for other communicable diseases.</jats:p> </jats:sec>
    Scopus© Citations 11  1