TY  - GEN
AU  - Taheri, Shirin
AU  - González, Mikel Alexander
AU  - Ruiz-López, María José
AU  - Magallanes, Sergio
AU  - Delacour-Estrella, Sarah
AU  - Lucientes, Javier
AU  - Bueno-Marí, Rubén
AU  - Martínez-de la Puente, Josué
AU  - Bravo-Barriga, Daniel
AU  - Frontera, Eva
AU  - Polina, Alejandro
AU  - Martinez-Barciela, Yasmina
AU  - Pereira, José Manuel
AU  - Garrido, Josefina
AU  - Aranda, Carles
AU  - Marzal, Alfonso
AU  - Ruiz-Arrondo, Ignacio
AU  - Oteo, José Antonio
AU  - Ferraguti, Martina
AU  - Gutiérrez-López, Rafael
AU  - Estrada, Rosa
AU  - Miranda, Miguel Ángel
AU  - Barceló, Carlos
AU  - Morchón, Rodrigo
AU  - Montalvo, Tomas
AU  - Gangoso, Laura
AU  - Goiri, Fátima
AU  - García-Pérez, Ana L
AU  - Ruiz, Santiago
AU  - Fernandez Martinez, Beatriz
AU  - Gomez-Barroso, Diana
AU  - Figuerola, Jordi
PY  - 2024
DO  - 10.1080/22221751.2024.2343911
UR  - http://hdl.handle.net/20.500.12105/19424
AB  - 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...
LA  - eng
PB  - Taylor & Francis
KW  - Paludism
KW  - Pathogeography
KW  - Spatial epidemiology
KW  - Species distribution modelling
KW  - Risk maps
KW  - Vector-borne diseases
KW  - Anopheles
KW  - Malaria
KW  - Mosquito Vectors
KW  - Animals
KW  - Spain
KW  - Humans
KW  - Communicable Diseases, Imported
KW  - Incidence
TI  - Modelling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases
TY  - research article
ER  -