par Rouamba, Toussaint 
;Nakanabo-Diallo, Seydou;Derra, Karim;Rouamba, Eli;Kazienga, Adama;Inoue, Yasuko;Ouédraogo, Ernest K;Waongo, Moussa;Dieng, Sokhna;Guindo, Abdoulaye;Ouédraogo, Boukary;Sallah, Kankoé Lévi;Barro, Seydou;Yaka, Pascal;Kirakoya, Fati ;Tinto, Halidou;Gaudart, Jean
Référence BMC public health, 19, 1, page (249)
Publication Publié, 2019-02
;Nakanabo-Diallo, Seydou;Derra, Karim;Rouamba, Eli;Kazienga, Adama;Inoue, Yasuko;Ouédraogo, Ernest K;Waongo, Moussa;Dieng, Sokhna;Guindo, Abdoulaye;Ouédraogo, Boukary;Sallah, Kankoé Lévi;Barro, Seydou;Yaka, Pascal;Kirakoya, Fati ;Tinto, Halidou;Gaudart, JeanRéférence BMC public health, 19, 1, page (249)
Publication Publié, 2019-02
Article révisé par les pairs
| Résumé : | With limited resources and spatio-temporal heterogeneity of malaria in developing countries, it is still difficult to assess the real impact of socioeconomic and environmental factors in order to set up targeted campaigns against malaria at an accurate scale. Our goal was to detect malaria hotspots in rural area and assess the extent to which household socioeconomic status and meteorological recordings may explain the occurrence and evolution of these hotspots. |
