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FASSSTER - Feasibility Analysis of Syndromic Surveillance using Spatio-Temporal Epidemiological Modeler

In partnership with the Department of Health, Department of Science and Technology, the Philippine Council for Health Research and Development, and the Ateneo de Manila University, FASSSTER aims to provide a user-friendly tool for modelling disease spreads in the Philippines to aid in the DOH's disease surveillance efforts. FASSSTER takes a multi-dimensional approach in modelling disease spreads by using localized indices from Philippine health records and by integrating third-party data, such as those found in Electronic Medical Record (EMR) systems and online sources. It is a web-based disease surveillance platform that uses deterministic compartmental modelling.

Country
Philippines
Institution

Department of Health, Ateneo de Manila University and University of the Philippines

Category
Digital Government
Focus
Partnerships
Technology

Database