2026-04-14T05:50:56Zhttps://recercat.cat/oai/requestoai:recercat.cat:20.500.12327/29742025-10-22T11:08:06Zcom_2072_4428com_2072_4427col_2072_487898
RECERCAT
author
Taheri, Shirin
author
González, Mikel Alexander
author
Ruiz-López, María José
author
Magallanes, Sergio
author
Delacour-Estrella, Sarah
author
Lucientes, Javier
author
Bueno-Marí, Rubén
author
Martínez-de la Puente, Josué
author
Bravo-Barriga, Daniel
author
Frontera, Eva
author
Polina, Alejandro
author
Martinez-Barciela, Yasmina
author
Pereira, José Manuel
author
Garrido, Josefina
author
Aranda, Carles
author
Marzal, Alfonso
author
Ruiz-Arrondo, Ignacio
author
Oteo, José Antonio
author
Ferraguti, Martina
author
Gutíerrez-López, Rafael
author
Estrada, Rosa
author
Miranda, Miguel Ángel
author
Barceló, Carlos
author
Morchón, Rodrigo
author
Montalvo, Tomas
author
Gangoso, Laura
author
Goiri, Fátima
author
García-Pérez, Ana L.
author
Ruiz, Santiago
author
Fernandez-Martinez, Beatriz
author
Gómez-Barroso, Diana
author
Figuerola, Jordi
other
Producció Animal
group
Sanitat Animal
2025-10-22T11:08:05Z
2025-10-22T11:08:05Z
2024-05-02
Taheri, Shirin, María Rosa Luengo González, María José Ruiz‐López, Sergio Magallanes, Sarah Delacour, Javier Lucientes, Rubén Bueno‐Marí, et al. 2024. “Modeling the Spatial Risk of Malaria Through Probability Distribution of Anopheles Maculipennis s.l. And Imported Cases.” Emerging Microbes & Infections 13 (1): 2343911. doi:10.1080/22221751.2024.2343911
2222-1751
http://hdl.handle.net/20.500.12327/2974
https://doi.org/10.1080/22221751.2024.2343911
Malaria remains one of the most important infectious diseases globally due to its high incidence and mortality rates. The
influx of infected cases from endemic to non-endemic malaria regions like Europe has resulted in a public health concern
over sporadic local outbreaks. This is facilitated by the continued presence of competent Anopheles vectors in nonendemic countries.
We modelled the potential distribution of the main malaria vector across Spain using the ensemble of eight
modelling techniques based on environmental parameters and the Anopheles maculipennis s.l. presence/absence data
collected from 2000 to 2020. We then combined this map with the number of imported malaria cases in each
municipality to detect the geographic hot spots with a higher risk of local malaria transmission.
The malaria vector occurred preferentially in irrigated lands characterized by warm climate conditions and moderate
annual precipitation. Some areas surrounding irrigated lands in northern Spain (e.g. Zaragoza, Logroño), mainland areas
(e.g. Madrid, Toledo) and in the South (e.g. Huelva), presented a significant likelihood of A. maculipennis s.l. occurrence,
with a large overlap with the presence of imported cases of malaria.
While the risk of malaria re-emergence in Spain is low, it is not evenly distributed throughout the country. The four
recorded local cases of mosquito-borne transmission occurred in areas with a high overlap of imported cases and
mosquito presence. Integrating mosquito distribution with human incidence cases provides an effective tool for the
quantification of large-scale geographic variation in transmission risk and pinpointing priority areas for targeted
surveillance and prevention.
eng
Attribution 4.0 International
Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases
info:eu-repo/semantics/article