Horizon 1 1 17 ACL : Articles dans des revues avec comité de lecture répertoriées par l'AERES Malaria Journal art. 72 [11 p.] MADAGASCAR 2017 fdi:010069275 ENG Malaria Journal 1475-2875 ISI:000394189100001 10.1186/s12936-017-1728-9 https://www.documentation.ird.fr/hor/fdi:010069275 https://horizon.documentation.ird.fr/exl-doc/pleins_textes/divers17-03/010069275.pdf 16 Horizon (IRD) 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. 052 ; 050 ; 128 UR228 / UR198 Madagascar