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

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. We analysed data from two provinces, Espaillat...

Celý popis

Uložené v:
Podrobná bibliografia
Vydané v:PLoS neglected tropical diseases Ročník 19; číslo 6; s. e0013103
Hlavní autori: Martin, Beatris Mario, Sartorius, Benn, Mayfield, Helen J., Cadavid Restrepo, Angela M., Kiani, Behzad, Then Paulino, Cecilia J., Etienne, Marie Caroline, Skewes-Ramm, Ronald, de St. Aubin, Michael, Dumas, Devan, Garnier, Salomé, Duke, William, Peña, Farah, Abdalla, Gabriela, de la Cruz, Lucia, Henríquez, Bernarda, Baldwin, Margaret, Kucharski, Adam, Nilles, Eric J., Lau, Colleen L.
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: United States Public Library of Science 11.06.2025
Public Library of Science (PLoS)
Predmet:
Adolescent
Adult
Aged
Antibodies, Bacterial - blood
Biology and Life Sciences
Child
Child, Preschool
Cluster Analysis
Distribution
Dominican Republic - epidemiology
Female
Humans
Leptospira - immunology
Leptospirosis
Leptospirosis - epidemiology
Leptospirosis - transmission
Male
Medical research
Medicine and Health Sciences
Medicine, Experimental
Middle Aged
People and places
Physical Sciences
Physiological aspects
Research and Analysis Methods
Risk Factors
Seroepidemiologic Studies
Social Sciences
Spatial Analysis
Young Adult
Dominican Republic
ISSN:1935-2735, 1935-2727, 1935-2735
On-line prístup:Získať plný text
Tagy: Pridať tag
Žiadne tagy, Buďte prvý, kto otaguje tento záznam!
Popis
Shrnutí: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. 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 < 0.001 and OR 4.41, p = 0.044 by motorized travel time in Espaillat and SPM, respectively). Cluster participants were also less likely to live in areas of higher population density (OR 0.76, p < 0.01 and OR 0.29, p < 0.001 in Espaillat and SPM, respectively) and in communities with higher gross domestic product (GDP) (OR 0.70, p < 0.001 and OR 0.42, p < 0.001 in Espaillat and SPM, respectively). Additional risk factors varied between Espaillat and SPM. Our findings confirm the clustered spatial pattern of leptospirosis and highlight that transmission drivers vary by province. While both provinces show higher transmission in impoverished areas, modifiable factors differ, requiring tailored public health interventions.
Bibliografia:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 23
The authors have declared that no competing interests exist.
ISSN:1935-2735
1935-2727
1935-2735
DOI:10.1371/journal.pntd.0013103