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.
FASSSTER is a flexible platform that will generate projections based on a combination of selected scenarios. The model relies on assumptions for accurate interpretation. Different assumptions will affect the way numbers are interpreted.
Approach to the design of disease models include: deterministic, stochastic ad network analysis.