Data-Driven Decision Making in Public Health
We aim to demonstrate and use cutting-edge technologies such as Geographical Information Systems (GIS) and Machine Learning models (ML) as essential components of our approach to environmental surveillance.
By harnessing the power of these tools, we can process vast amounts of data and generate actionable insights that can be used by local government bodies to respond rapidly to climate events as well as disease outbreaks.
Through our unique approach, we are able to generate evidence and insights that are highly localized and action-oriented. We are not just collecting data for the sake of it, but rather using it to drive change on the ground.
By merging mainstream data with the voices and issues emerging from the ground, we are able to gain a more complete understanding of the environmental challenges facing communities and develop targeted solutions that address their specific needs.
