Defining Seasonal Windows of Transmission: A High-Resolution Monthly Risk Map for Leishmania infantum to Optimize Control Strategies in Southwestern Europe

Zoonotic leishmaniasis, caused by Leishmania infantum, is an emerging public health concern in Southern Europe, where climate change is altering vector phenology. Traditional static risk maps fail to capture critical seasonal transmission dynamics. This study analyzed the monthly risk maps of L. infantum infection across Spain and Portugal, including the Balearic, Canary, Madeira, and Azores archipelagos. We developed Ecological Niche Models (MaxEnt) for the primary vector, Phlebotomus perniciosus, and integrated them with a temperature-dependent parasite development model to generate high-resolution monthly risk maps. The models exhibited high predictive power. In the Iberian Peninsula, human footprint was the primary driver, revealing a marked seasonal expansion of risk towards northern latitudes and higher altitudes during summer (June–September), with potential transmission windows extending into autumn. Conversely, in Macaronesia, temperature was the dominant factor. The Canary Islands and Madeira showed sustained high risk in coastal areas year-round, while the Azores, historically considered non-endemic, displayed climatic suitability hotspots in central islands. These findings confirm the tropicalization of transmission patterns and identify cryptic risk periods. This dynamic approach offers a robust tool for veterinary and public health authorities to transition from static, calendar-based prophylaxis to adaptive, evidence-based control strategies, optimizing resources in a changing climate.

Authors

Institutions

Publication Details

Journal
Animals
Published
2026-11-02
DOI
https://doi.org/10.3390/ani16213463
Primary Topic
Research on Leishmaniasis Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Defining Seasonal Windows of Transmission: A High-Resolution Monthly Risk Map for Leishmania infantum to Optimize Control Strategies in Southwestern Europe

Rodrigo Morchón, Elena Carretón, Alfonso Balmori‐de la Puente, Iván Rodríguez-Escolar et al.
Animals
Research on Leishmaniasis Studies
article

Defining Seasonal Windows of Transmission: A High-Resolution Monthly Risk Map for Leishmania infantum to Optimize Control Strategies in Southwestern Europe

Rodrigo Morchón, Elena Carretón, Alfonso Balmori‐de la Puente, Iván Rodríguez-Escolar, Manuel Collado-Cuadrado, Elena Infante González-Mohino, Alberto Gil-Abad
article en

Abstract

Zoonotic leishmaniasis, caused by Leishmania infantum, is an emerging public health concern in Southern Europe, where climate change is altering vector phenology. Traditional static risk maps fail to capture critical seasonal transmission dynamics. This study analyzed the monthly risk maps of L. infantum infection across Spain and Portugal, including the Balearic, Canary, Madeira, and Azores archipelagos. We developed Ecological Niche Models (MaxEnt) for the primary vector, Phlebotomus perniciosus, and integrated them with a temperature-dependent parasite development model to generate high-resolution monthly risk maps. The models exhibited high predictive power. In the Iberian Peninsula, human footprint was the primary driver, revealing a marked seasonal expansion of risk towards northern latitudes and higher altitudes during summer (June–September), with potential transmission windows extending into autumn. Conversely, in Macaronesia, temperature was the dominant factor. The Canary Islands and Madeira showed sustained high risk in coastal areas year-round, while the Azores, historically considered non-endemic, displayed climatic suitability hotspots in central islands. These findings confirm the tropicalization of transmission patterns and identify cryptic risk periods. This dynamic approach offers a robust tool for veterinary and public health authorities to transition from static, calendar-based prophylaxis to adaptive, evidence-based control strategies, optimizing resources in a changing climate.

AnimalsVol. 16(21)
Universidad de Las Palmas de Gran Canaria (ES), Universidad de Salamanca (ES), Instituto de Investigación Biomédica de Salamanca (ES)
Openalex Percentile: Top 12%
Research on Leishmaniasis Studies
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.

Laika access coming soon