Integrated Disease Surveillance to Reduce Data Fragmentation – An Application to Malaria Control

Kate Zinszer, Arash Shaban-Nejad, Sonia Menon, Anya Okhmatovskaia, Lauren Carroll, Ian Painter, Neil Abernethy, David Buckeridge


The lack of access to timely health indicators can preclude the design and the effective implementation of infectious diseases control interventions. Our project aims to foster the integration of existing surveillance data to support evidence-based decision-making in malaria. The cornerstone of our approach is the use of a common knowledge platform to scale-up and extend structural and semantic mapping across existing data sources to other geographical regions and global health priority diseases. Upon completion of our project, we will have designed an open-access prototype system capable of sharing comparable surveillance data within and across countries

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Online Journal of Public Health Informatics * ISSN 1947-2579 *