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Modeling the spatial risk of malaria through probability distribution of Anopheles maculipennis s.l. and imported cases
Emerging Microbes & Infections ( IF 13.2 ) Pub Date : 2024-04-15 , DOI: 10.1080/22221751.2024.2343911
Shirin Taheri 1 , Mikel Alexander González 1, 2 , María José Ruiz-López 1, 2 , Sergio Magallanes 1, 2 , Sarah Delacour-Estrella 3 , Javier Lucientes 3 , Rubén Bueno-Marí 4, 5 , Josué Martínez-de la Puente 1, 2, 6 , Daniel Bravo-Barriga 7 , Eva Frontera 8 , Alejandro Polina 9 , Yasmina Martinez-Barciela 9 , José Manuel Pereira 10 , Josefina Garrido 9 , Carles Aranda 11, 12 , Alfonso Marzal 13, 14 , Ignacio Ruiz-Arrondo 15 , José Antonio Oteo 15 , Martina Ferraguti 1, 2 , Rafael Gutíerrez-López 16, 17 , Rosa Estrada 3 , Miguel Ángel Miranda 18 , Carlos Barceló 18 , Rodrigo Morchón 19 , Tomas Montalvo 2, 20 , Laura Gangoso 21 , Fátima Goiri 22 , Ana L. García-Pérez 22 , Santiago Ruiz 2, 23 , Beatriz Fernandez-Martinez 2, 24 , Diana Gómez-Barroso 2, 24 , Jordi Figuerola 1, 2
Affiliation  

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 E...

中文翻译:

通过按蚊和输入病例的概率分布对疟疾的空间风险进行建模

由于其高发病率和死亡率,疟疾仍然是全球最重要的传染病之一。感染病例从疟疾流行地区涌入非流行疟疾地区,例如……
更新日期:2024-04-15
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