Scholars of the Department of Science and Technology-7 pay courtesy call on DILG-7 Director Leocadio Trovela during their visit to the office today. They will assist in the gathering, analysis, and interpretation of latest data generated by the Feasibility Analysis of Syndromic Surveillance using
Spatio-Temporal Epidemiological Modeler for Early Detection of Diseases (FASSSTER), a scenario-building tool that can project the growth of COVID-19 cases in a locality.