Integrated Disease Surveillance to Reduce Data Fragmentation – An Application to Malaria Control
نویسندگان
چکیده
Objective Driven by the need to bring malaria surveillance data from different sources together to support evidence-based decision making, we are conducting the “Scalable Data Integration for Disease Surveillance” (SDIDS) project. This project aims to foster the integration of existing surveillance data to support evidence-based decision-making in malaria control and demonstrate a model applicable to other diseases. Central to this initiative is collaboration between academia, governmental and NGO sectors.
منابع مشابه
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عنوان ژورنال:
دوره 7 شماره
صفحات -
تاریخ انتشار 2015