Now showing items 1-2 of 2

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

      Ateba, François Freddy; Febrero Bande, Manuel; Sagara, Issaka; Sogoba, Nafomon; Touré, Mahamoudou; Sanogo, Daouda; Diarra, Ayouba; Ngitah, Andoh Magdalene; Winch, Peter J.; Shaffer, Jeffrey G.; Krogstad, Donald J.; Marker, Hannah C.; Gaudart, Jean; Doumbia, Seydou (MDPI, 2020)
      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 ...
    • Spatio-Temporal Dynamic of Malaria Incidence: A Comparison of Two Ecological Zones in Mali 

      Ateba, François Freddy; Sagara, Issaka; Sogoba, Nafomon; Touré, Mahamoudou; Konaté, Drissa; Diawara, Sory Ibrahim; Diakité, Séidina Aboubacar Samba; Diarra, Ayouba; Coulibaly, Mamadou D.; Dolo, Mathias; Dolo, Amagana; Sacko, Aissata; Thiam, Sidibe M’baye; Sissako, Aliou; Sangaré, Lansana; Diakité, Mahamadou; Koita, Ousmane A.; Cissoko, Mady; Traore, Sékou Fantamady; Winch, Peter J.; Febrero Bande, Manuel; Shaffer, Jeffrey G.; Krogtad, Donald J.; Marker, Hannah Catherine; Doumbia, Seydou; Gaudart, Jean (MDPI, 2020)
      Malaria transmission largely depends on environmental, climatic, and hydrological conditions. In Mali, malaria epidemiological patterns are nested within three ecological zones. This study aimed at assessing the relationship ...





      Harvesters:Useful links:
      Universidade de Santiago de Compostela | Teléfonos: +34 881 811 000 e +34 982 820 000 | Contact Us | Send Feedback