Modeling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases

Modeling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases

AbstractMalaria 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 facilitate...

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Bibliographic Details
Main Authors: Shirin Taheri, Mikel Alexander González, María José Ruiz-López, Sergio Magallanes, Sarah Delacour-Estrella, Javier Lucientes, Rubén Bueno-Marí, Josué Martínez-de la Puente, Daniel Bravo-Barriga, Eva Frontera, Alejandro Polina, Yasmina Martinez-Barciela, José Manuel Pereira, Josefina Garrido, Carles Aranda, Alfonso Marzal, Ignacio Ruiz-Arrondo, José Antonio Oteo, Martina Ferraguti, Rafael Gutíerrez-López, Rosa Estrada, Miguel Ángel Miranda, Carlos Barceló, Rodrigo Morchón, Tomas Montalvo, Laura Gangoso, Fátima Goiri, Ana L. García-Pérez, Santiago Ruiz, Beatriz Fernandez-Martinez, Diana Gómez-Barroso, Jordi Figuerola
Format: Article
Language:English
Published: Taylor & Francis Group 2024-04-01
Series:Emerging Microbes and Infections
Subjects:
Paludism
pathogeography
spatial epidemiology
species distribution modeling
risk maps
vector-borne diseases
Online Access:https://www.tandfonline.com/doi/10.1080/22221751.2024.2343911

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https://www.tandfonline.com/doi/10.1080/22221751.2024.2343911

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