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

This compendium, prepared by the Division for Public Institutions and Digital Government (DPIDG) of the United Nations Department of Economic and Social Affairs (UN DESA), aims to capture emerging trends in digital responses of UN Member States against the COVID-19 pandemic along with other digital government initiatives and provide a preliminary analysis of their main features. These cases are shared for exchange of information so that Member States can learn from each other and possibly create new partnerships.

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