2026-04-17T21:22:10Zhttps://recercat.cat/oai/request

oai:recercat.cat:20.500.12327/29742025-10-22T11:08:06Zcom_2072_4428com_2072_4427col_2072_487898

00925njm 22002777a 4500 dc 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 author 2024-05-02 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. 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 Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases