Publications des scientifiques de l'IRD

Girond F., Randrianasolo L., Randriamampionona L., Rakotomanana F., Randrianarivelojosia M., Ratsitorahina M., Brou T. Y., Herbreteau Vincent, Mangeas Morgan, Zigiumugabe S., Hedje J., Rogier C., Piola P. (2017). Analysing trends and forecasting malaria epidemics in Madagascar using a sentinel surveillance network : a web-based application. Malaria Journal, 16, p. art. 72 [11 p.]. ISSN 1475-2875.

Titre du document
Analysing trends and forecasting malaria epidemics in Madagascar using a sentinel surveillance network : a web-based application
Année de publication
2017
Type de document
Article référencé dans le Web of Science WOS:000394189100001
Auteurs
Girond F., Randrianasolo L., Randriamampionona L., Rakotomanana F., Randrianarivelojosia M., Ratsitorahina M., Brou T. Y., Herbreteau Vincent, Mangeas Morgan, Zigiumugabe S., Hedje J., Rogier C., Piola P.
Source
Malaria Journal, 2017, 16, p. art. 72 [11 p.] ISSN 1475-2875
Background : The use of a malaria early warning system (MEWS) to trigger prompt public health interventions is a key step in adding value to the epidemiological data routinely collected by sentinel surveillance systems. Methods : This study describes a system using various epidemic thresholds and a forecasting component with the support of new technologies to improve the performance of a sentinel MEWS. Malaria-related data from 21 sentinel sites collected by Short Message Service are automatically analysed to detect malaria trends and malaria outbreak alerts with automated feedback reports. Results : Roll Back Malaria partners can, through a user-friendly web-based tool, visualize potential outbreaks and generate a forecasting model. The system already demonstrated its ability to detect malaria outbreaks in Madagascar in 2014. Conclusion : This approach aims to maximize the usefulness of a sentinel surveillance system to predict and detect epidemics in limited-resource environments.
Plan de classement
Santé : généralités [050] ; Entomologie médicale / Parasitologie / Virologie [052] ; Cartographie / Méthodes graphiques [128]
Description Géographique
MADAGASCAR
Localisation
Fonds IRD [F B010069275]
Identifiant IRD
fdi:010069275
Contact