Theoretical and computational
ecology laboratory

BIG MOSQUITO BITE. Community Driven Big Data Intelligence to Fight Mosquito-Borne Disease

Project start date:20191112

Spain stands at a crossroads. The expansion of Ae.albopictus throughout the Iberian Peninsula and the arrival of Ae.aegypti in the Canary Islands have increased the risk of serious outbreaks of dengue, chikungunya, or Zika, in Spain. With hundreds of imported cases already co-present with vectors, and autochthonous dengue transmissions confirmed in 2018, it is only a matter of time before Spain is faced with a serious public health crisis. Yet Spain lacks reliable information about disease risk patterns and the dynamics of potential outbreaks.

This project will fill this gap by bringing together experts in epidemiology, entomology, big data, movement ecology and socio-demography to build an innovative system that can harness the data revolution for public health preparedness. It will produce vital, comprehensive, actionable knowledge about mosquito-borne disease (MBD) risks and potential outbreaks in Spain.

It will fuse multiple big data sources and employ cutting edge modelling and infrastructure to:

  1. Explore determinants and distribution of MBD risk
  2. Illuminate links between social inequality and MBDs
  3. Infer the role of human mobility in MBD risk
  4. Ensure continuous model calibration and update
  5. Deliver real-time models to public health agencies.

The system will give decision-makers the information they need, while also making raw data and open source code available for continuous improvement through open innovation.

Funding organization

Researchers

Key Deliverables

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