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Artificial intelligence-supported One Health surveillance for early warning of Rift Valley fever in Senegal

BackgroundRift Valley Fever (RVF) is a zoonotic disease affecting humans and livestock across Africa, with outbreaks influenced by ecological, animal, and social factors. In Senegal, nomadic livestock systems, endemic mosquito vectors, and mobile pastoralist communities create recurrent outbreak cyc...

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Autori principali: Boly Diop, Sylvain Landry Birane Faye, Birane Cisse, Georgette Helene Coumba Sow, Abdourahmane Ndao, Medoune Badiane, Fallou Diakhate, Ndiaye Dia, Fatou Ndiaye, Mamadou Bocoum, Baba Camara, Fatou Ndour Faye, Rama Diop, Melanie Raissa Hatiou Mbengue, Fatoumata Bintou Diongue, Ousmane Aly Thiam, Vincent Duclos, Diene Ndiaye, Mouhamadou Lamine Ba, Mathioro Fall, Mbargou Lo, Ibrahima Oumar Ba, Yoro Sall, Khadim Kébé, Diambogne Ndour, Pape Samba Dieye, Mamadou Ndiaye
Natura: Artigo
Lingua:Inglês
Pubblicazione: Frontiers Media S.A. 2026-02-01
Serie:Frontiers in Tropical Diseases
Soggetti:
artificial intelligence
community based surveillance
early detection
epidemic preparedness
neglected tropical diseases
One Health surveillance
Accesso online:https://www.frontiersin.org/articles/10.3389/fitd.2026.1778438/full
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