Quantifying Spatial variation in environmental and sociodemographic drivers of leptospirosis in the Dominican Republic using a geographically weighted regression model

Spatial variation in drivers of leptospirosis transmission in the Dominican Republic is poorly understood. To inform targeted public health interventions, we aimed to characterise risk factors and drivers of transmission on a fine spatial scale. We analysed data from 2078 participants in two provinc...

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Bibliographic Details
Published in:Scientific reports Vol. 15; no. 1; pp. 27073 - 12
Main Authors: Martin, Beatris Mario, Sartorius, Benn, Mayfield, Helen J., Restrepo, Angela M. Cadavid, Kiani, Behzad, Paulino, Cecilia Jocelyn Then, Etienne, Marie Caroline, Skewes-Ramm, Ronald, de St Aubin, Michael, Dumas, Devan, Garnier, Salome, Duke, William, Peña, Farah, Abdalla, Gabriela, de la Cruz, Lucia, Henríquez, Bernarda, Baldwin, Margaret, Kucharski, Adam, Nilles, Eric J., Lau, Colleen L.
Format: Journal Article
Language:English
Published: London Nature Publishing Group UK 25.07.2025
Nature Publishing Group
Nature Portfolio
Subjects:
631/114/2397
692/699/255
Adolescent
Adult
Aged
Animals
Caribbean region
Cross-Sectional Studies
Data collection
Datasets
Dominican Republic - epidemiology
Feature selection
Female
Floods
Global positioning systems
GPS
Ground cover
Health promotion
Health surveillance
Households
Humanities and Social Sciences
Humans
Leptospirosis
Leptospirosis - epidemiology
Leptospirosis - transmission
Male
Middle Aged
multidisciplinary
Population
Provinces
Public health
Questionnaires
Risk Factors
Science
Science (multidisciplinary)
Serology
Seroprevalence survey
Sociodemographic Factors
Sociodemographics
Socioeconomic Factors
Software
Spatial analysis
Spatial data
Spatial Regression
Spatial variations
Variables
Young Adult
Zoonoses
Zoonosis
Dominican Republic
United States > US
Zoonosis
Spatial regression
Seroprevalence survey
Risk factors
Caribbean region
ISSN:2045-2322, 2045-2322
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Summary:Spatial variation in drivers of leptospirosis transmission in the Dominican Republic is poorly understood. To inform targeted public health interventions, we aimed to characterise risk factors and drivers of transmission on a fine spatial scale. We analysed data from 2078 participants in two provinces, Espaillat and San Pedro de Macoris (SPM), collected from a 2021 cross-sectional survey. We used geographically weighted regression to quantify associations between leptospirosis seropositivity and spatial environmental and sociodemographic data. In Espaillat, higher odds of seropositivity were associated with exposure to freshwater (OR 6.51, ranging between 5.95 and 6.99), bare ground coverage above 1.44% (OR 3.70;3.49–3.92), river density surrounding the household at the highest quartile (OR 2.43;2.41–2.45) and average precipitation in the last five years at the highest quartile (2.57; 2.52–2.65). In SPM, rat exposure was associated with higher odds of seropositivity (OR 2.59;1.23–3.14). By identifying locally important drivers of transmission, our study provides evidence to support more tailored public health interventions to optimise the control and prevention of leptospirosis.
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ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-025-13413-5