Forecasting outbreaks of Dengue and Diarrhea in Indonesia

A research and development project supported by UN Global Pulse

Health Data for Indonesia

In Indonesia there is little reliable data on waterborne diseases such as dengue and diarrhea. In this research we developed an algorithm that forecasts new outbreaks on the basis of reported floods. For the analysis we used three datasets: Processed flood tweets for Java, processed health tweets for Java and field data from a large number of Puskesmas in the Bandung District. The project was financed through the "Data Innovation Grant", a contest organised by UN Global Pulse. Partners in the project are Universitas Padjadjaran Bandung, Radboud University Nijmegen, Deltares and FloodTags. Read more about the project in this blog. 

In the next years we are continuing our work on this topic. If you would like to participate in the research or otherwise be connected to its results, feel free to get in touch.

 

Logo pulselab

LOGO UNIVERSITAS PADJADJARAN

Radboud-<a href=

FLOODTAGS R Logo 01

logo-deltares

 

Increased risk for water-related diseases in the next 0-7 days

On the basis of real-time flood tweets in Java

Develop with us

UNPAD, Radboud University, Deltares and FloodTags are continuing their work on this topic. If you would like to participate in the research or otherwise be connected to its results, please contact us!

Develop with Us