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

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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Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: MDPI AG 2020-08-01
Series:International Journal of Environmental Research and Public Health
Subjects:
malaria
functional model
passive case detection
meteorological indicators
Mali
Online Access:https://www.mdpi.com/1660-4601/17/17/6339

Internet

https://www.mdpi.com/1660-4601/17/17/6339

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