Sea surface temperature modulates El Niño and La Niña driven leptospirosis patterns: Evidence from causal machine learning in Colombia

Leptospirosis is a zoonotic disease prevalent in tropical regions influenced by climatic factors such as precipitation and soil moisture, which are regulated by the El Niño-Southern Oscillation (ENSO). This study examines the causal relationship between El Niño and La Niña episodes and leptospirosis cases in Colombia at the municipal level from 2007 to 2023. Using an ecological longitudinal design, we analyzed laboratory-confirmed cases from the National Public Health Surveillance System, environmental data from remote sensing, and socioeconomic data, employing a causal machine learning framework with doubly robust estimation and overlap weighting. We estimated the Average Treatment Effect (ATE) and the Conditional Average Treatment Effect (CATE) for three scenarios: Neutral vs. La Niña, Neutral vs. El Niño, and El Niño vs. La Niña. Results showed 10,629 cases, predominantly in males, with the highest incidence in Cali, Barranquilla, San José del Guaviare, and Cartagena. La Niña was associated with a 1.2 percentage point reduction in the probability of excess leptospirosis cases (ATE = -0.012, 95% CI: -0.015 - -0.008), while El Niño corresponded with a 7.2 percentage point increase in the probability of excess leptospirosis cases (ATE = 0.072, 95% CI: 0.041 - 0.103) compared to Neutral episodes. The El Niño vs. La Niña comparison showed no significant effect. As sea surface temperatures rose in the Pacific Ocean off the Colombian coast, the impact of both El Niño and La Niña episodes was observed to diminish, according to the CATE analysis. Regional variations, particularly in the Orinoco and Amazon regions, seem to drive these national trends, probably due to inverse hydro-climatic responses to ENSO. Refutation tests indicated the presence of remaining bias for the scenarios Neutral vs. El Niño and El Niño vs. La Niña. These findings highlight the complex interplay between climate and leptospirosis, underscoring the need for region-specific public health strategies to mitigate climate-driven disease risks in Colombia.

Authors

Institutions

Publication Details

Journal
PLOS Global Public Health
Published
2025-11-06
DOI
https://doi.org/10.1371/journal.pgph.0005238
Primary Topic
Leptospirosis research and findings
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Sea surface temperature modulates El Niño and La Niña driven leptospirosis patterns: Evidence from causal machine learning in Colombia

Juan D. Wilches-Vega, Juan David Gutiérrez, Javier Cortés-Ramírez, Fabián Galvis et al.
PLOS Global Public Health
Leptospirosis research and findings
article

Sea surface temperature modulates El Niño and La Niña driven leptospirosis patterns: Evidence from causal machine learning in Colombia

Juan D. Wilches-Vega, Juan David Gutiérrez, Javier Cortés-Ramírez, Fabián Galvis, Holver Smith Parada-Jurado
article en

Abstract

Leptospirosis is a zoonotic disease prevalent in tropical regions influenced by climatic factors such as precipitation and soil moisture, which are regulated by the El Niño-Southern Oscillation (ENSO). This study examines the causal relationship between El Niño and La Niña episodes and leptospirosis cases in Colombia at the municipal level from 2007 to 2023. Using an ecological longitudinal design, we analyzed laboratory-confirmed cases from the National Public Health Surveillance System, environmental data from remote sensing, and socioeconomic data, employing a causal machine learning framework with doubly robust estimation and overlap weighting. We estimated the Average Treatment Effect (ATE) and the Conditional Average Treatment Effect (CATE) for three scenarios: Neutral vs. La Niña, Neutral vs. El Niño, and El Niño vs. La Niña. Results showed 10,629 cases, predominantly in males, with the highest incidence in Cali, Barranquilla, San José del Guaviare, and Cartagena. La Niña was associated with a 1.2 percentage point reduction in the probability of excess leptospirosis cases (ATE = -0.012, 95% CI: -0.015 - -0.008), while El Niño corresponded with a 7.2 percentage point increase in the probability of excess leptospirosis cases (ATE = 0.072, 95% CI: 0.041 - 0.103) compared to Neutral episodes. The El Niño vs. La Niña comparison showed no significant effect. As sea surface temperatures rose in the Pacific Ocean off the Colombian coast, the impact of both El Niño and La Niña episodes was observed to diminish, according to the CATE analysis. Regional variations, particularly in the Orinoco and Amazon regions, seem to drive these national trends, probably due to inverse hydro-climatic responses to ENSO. Refutation tests indicated the presence of remaining bias for the scenarios Neutral vs. El Niño and El Niño vs. La Niña. These findings highlight the complex interplay between climate and leptospirosis, underscoring the need for region-specific public health strategies to mitigate climate-driven disease risks in Colombia.

PLOS Global Public HealthVol. 5(11)
Francisco de Paula Santander University (CO), Universidad de Santander (PA), Universidad De Santander (CO), Universidad de Ciencias Médicas de la Habana (CU)
Openalex Percentile: Top 66%
Leptospirosis research and findings
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.