Predicting Malaria Transmission Dynamics in Dangassa, Mali: A Novel Approach Using Functional Generalized Additive Models

Mali aims to reach the pre-elimination stage of malaria by the next decade. This study used functional regression models to predict the incidence of malaria as a function of past meteorological patterns to better prevent and to act proactively against impending malaria outbreaks. All data were colle...

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Detaylı Bibliyografya
Asıl Yazarlar: François Freddy Ateba, Manuel Febrero-Bande, Issaka Sagara, Nafomon Sogoba, Mahamoudou Touré, Daouda Sanogo, Ayouba Diarra, Andoh Magdalene Ngitah, Peter J. Winch, Jeffrey G. Shaffer, Donald J. Krogstad, Hannah C. Marker, Jean Gaudart, Seydou Doumbia
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2020-08-01
Seri Bilgileri:International Journal of Environmental Research and Public Health
Konular:
malaria
functional model
passive case detection
meteorological indicators
Mali
Online Erişim:https://www.mdpi.com/1660-4601/17/17/6339
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