Geospatial analysis of leptospirosis clusters and risk factors in two provinces of the Dominican Republic

Beatris Mario Martin, Benn Sartorius, Helen J Mayfield, Angela M Cadavid Restrepo, Behzad Kiani, Cecilia J Then Paulino, Marie Caroline Etienne, Ronald Skewes-Ramm, Michael de St. Aubin, Devan Dumas, Salomé Garnier, William Duke, Farah Peña, Gabriela Abdalla, Lucia de la Cruz, Bernarda Henríquez, Margaret Baldwin, Adam Kucharski, Eric J Nilles and Colleen L Lau

PLOS Neglected Tropical Diseases, 2025, vol. 19, issue 6, 1-14

Abstract: Background: Drivers of leptospirosis transmission can vary across regions, leading to spatial clustering of infections. This study aims to identify clusters of leptospirosis seroprevalence in the Dominican Republic (DR) and factors associated with high-risk areas. Methodology/Principal Findings: We analysed data from two provinces, Espaillat and San Pedro de Macoris (SPM), obtained on a national survey conducted in 2021 (n = 2,078). Samples were tested by microscopic agglutination testing (MAT) to detect leptospirosis antibodies. We used flexible spatial scan statistics to locate significant clusters for seropositive individuals (all serogroups combined) in each province and calculated risk ratios (RR) at the household and community level. Environmental and sociodemographic risk factors associated with clusters were assessed by logistic regression. One cluster was identified in each province. Participants living inside a cluster were more likely to live further from health facilities (OR 1.86, p

Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pntd00:0013103

DOI: 10.1371/journal.pntd.0013103

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