Advanced Early Dengue Prediction and Exploration Service (AEDES)

AEDES aims to improve public health response against dengue in the Philippines by predicting dengue cases from climate and digital data and pinpointing possible hotspots from satellite data.

The service relies on 3 data sets:

We propose to forecast dengue cases using a combination of:

  • Climate Data: Average monthly temperature readings from local weather stations
  • Climate Data: Average monthly rainfall (precipitation) readings from local weather stations
  • Google Data: Search index for 'dengue', 'dengue symptoms', 'dengue fever', and 'dengue medicine'
  • Lagged values for Climate factors, Google data, and actual dengue cases

We propose to detect likely mosquito hotspots using Satellite data readings:

  • FAPAR: Fraction of Absorbed Photosynthetically Active Radiation, reference here.
  • NDVI: Normalized difference vegetation index, reference here.
  • NDWI: Normalized Difference Water Index, reference here.

More project resources can be found here in the AEDES Github.

Contact Us

Project AEDES is maintained by CirroLytix Research Services. The AEDES team consists of the following:

We welcome collaborators. Contact us via Linked-IN, or email us at