Feasibility Analysis of Syndromic Surveillance Using Spatio-Temporal Epidemiological Modeler For Early Detection of Diseases

FASSSTER aims to create a hub for different data sources (Disease records, environmental parameters, etc.), providing a rich layout of integrated information that will facilitate in understanding the spread of diseases.

In partnership with the Department of Health, Department of Science and Technology - Philippine Council for Health Research and Development, and the Ateneo de Manila University, FASSSTER aims to provide a user-friendly tool for modeling disease spreads in the Philippines to aid in the DOH's disease surveillance efforts. FASSSTER takes a multi-dimensional approach in modeling disease spreads by using localized indices from Philippine health records and by integrating other data sources including but not limited to: disease and event surveillance systems and electronic medical records.

How to use FASSSTER


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Ateneo Center for Computing Competency and Research (ACCCRe)
R-313 3rd Floor PLDT Convergent Technology Center,
Ateneo de Manila University,
Katipunan Ave., Loyola Heights
Quezon City, Philippines