Analysing trends and forecasting malaria epidemics in Madagascar using a sentinel surveillance network: a web‑based application

Florian Girond (1, 2, 3) , Laurence Randrianasolo (1) , Lea Randriamampionona (1, 4) , Fanjasoa Rakotomanana (1) , Milijaona Randrianarivelojosia (1) , Maherisoa Ratsitorahina (1, 4) , Yao Télesphore Brou (2) , Vincent Herbreteau (2) , Morgan Mangeas (2) , Sixte Zigiumugabe (5) , Judith Hedje (5, 6) , Christophe Rogier (1, 7, 8) , Patrice Piola (1)

1 Institut Pasteur de Madagascar
2 UMR 228 Espace-Dev, Espace pour le développement
3 Polytechnic of Namibia [Windhoek]
4 Ministère de la Santé Publique - Ministry of Public Health [Antananarivo, Madagascar]
5 PMI - U.S. President’s Malaria Initiative [Antananarivo]
6 CDC - Centers for Disease Control and Prevention [Atlanta]
7 URMITE - Unité de Recherche sur les Maladies Infectieuses Tropicales Emergentes
8 IRBA - Institut de Recherche Biomédicale des Armées [Brétigny-sur-Orge]

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.

Domains: Santé publique et épidémiologie; Microbiology and Parasitology

Florian Girond, Laurence Randrianasolo, Lea Randriamampionona, Fanjasoa Rakotomanana, Milijaona Randrianarivelojosia, et al.. Analysing trends and forecasting malaria epidemics in Madagascar using a sentinel surveillance network: a web‑based application. Malaria Journal, 2017, 16 (1), pp.72. ⟨10.1186/s12936-017-1728-9⟩. ⟨pasteur-01647630⟩