We may be nowhere near eradicating Dengue, but we may be able to prevent it more effectively. Through Time-Series Modeling and geospatial mapping, Team Flex was able to predict and forecast cases and deaths up to 4 months and identify potential dengue hotspots in selected cities of the CALABARZON region.
The global threat of disease outbreaks is real and it is felt more than ever now as the world struggles to contain the spread of a certain virus. But before it even created a pandemic, there is already another disease that threatens our existence, perhaps has been doing so for the longest time – Dengue.
Dengue affects thousands of lives each year and continues to be a major public health problem in the Philippines.
In the last year alone, the Philippines experienced the worst dengue outbreak since 2012 as reported cases reached beyond epidemic thresholds. On top of that, the delayed reporting of official case and death counts makes it even more difficult to pinpoint heavily dengue affected areas early on and initiate a targeted public health response. To address this problem, Team Flex members, Janine Padilla, Mox Ballo, and Rache Melendres, developed a publicly accessible web application
that can be used by concerned government agencies and public health officials to predict the spread of dengue and visualize potential breeding sites of mosquitoes.