Project AEDES

Advanced Early Detection and Exploration Service

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.


Contact Us

Project AEDES

Advanced Early Detection and Exploration Service

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.


Contact Us

Project AEDES

Advanced Early Detection and Exploration Service

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.


Contact Us

Project AEDES

Advanced Early Detection and Exploration Service

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.


Contact Us

Our Challenge

Dengue is an epidemic that infected more than 271,000 cases and caused more than 1,100 deaths in 2019. Data on dengue takes time to be manually gathered which hampers the health sector’s ability to deal with the threat. Dengue is spread between infected cases by the Aedes Aegypti mosquito and mosquitoes are known to breed in damp locations and stagnant water pools.

Our Solution

We propose an automated information portal that correlates dengue cases and deaths with real-time data from climate, google searches, and satellite maps, giving an advance indicator of when dengue will emerge and potential dengue hotspot locations. This portal is targeted towards public health and local government agencies to give them advanced notice of dengue outbreaks and help prioritize resources.

How It Works

Searches for Dengue: Epidemic of Panic

Google search trends for dengue and related search terms reveal behavior of people who are affected by the epidemic. There is a predictable time of the year when the searches start to spike, but the location differs every year, posing a constant challenge for public health to prioritize areas to provide support.

Predicting Dengue Cases

We are able to accurately model dengue cases using climate readings from the relevant area such as average monthly regular temperature and average monthly rainfall as well as google search trends for dengue and related terms. We also include lagged values for these factors.

Mosquito Hotspots From Satellite Images

We extract spectral data from remote sensing by the Copernicus and Landsat missions. We are able to derive likely stagnant water hotspots from FAPAR and NDWI readings from the area. We also visualize this on a map for easier reference.

Our Impact

For every single day we can reduce the lag in response time we save:

5

Lives

1,130

Cases

Recognition

Project AEDES was one of the 6 Global Awardees in the 2019 NASA International Space Apps Challenge winning the Best Use of Data category among 36 Global Finalists. More than 29,000 people from 71 countries and 225 cities participated in the 2019 challenge.