E4Warning is an holistic approach to improve our understanding of the interplay between humans, mosquitoes, reservoir species and the environment for a better disease intelligence capable of anticipating and identifying mosquito-borne diseases epidemic risk and outbreaks.
Mosquito-borne diseases, such as dengue, Zika, chikungunya and West Nile fever, are emerging and re-emerging worldwide because of climate change and globalisation. Every year, an estimated 390 million dengue infections occur around the world, resulting in up to 36,000 deaths. The burden of these diseases is highest in tropical and subtropical areas, but increasing numbers of autochthonous case are being reported from European countries since 2010, raising concerns about the potential for the establishment of these pathogens in temperate regions.
To address the complexity of Mosquito-borne diseases (MBDs), the E4Warning consortium is made up of an interdisciplinary and innovative team from 12 organisations from Spain, Germany, Greece, Belgium, Switzerland and the United Kingdom, with experience in entomology, movement ecology, epidemiology, Earth Observation science, sensor engineering, sociodemography and spatial statistic modelling.
- Vectors ecology & surveillance: high quality real-time information on vectors for a scalable and flexible “epidemic intelligence”
- Ecosystem barriers to disease spreading: Host and vector dispersal capacities. Movement patterns in complex mosaic landscapes.
- Earth Observation data: Estimate and anticipate mosquito prevalence and disease risk.
- Disease forecasting: Dengue forecasting in South Asia and endemic hotspots.
- Human mobility: How human activity produce differential disease exposure and contribute to the spreading of invasive mosquitoes and diseases.
- Dengue importation risk: Dengue prevalence in endemic areas and global traffic patterns will anticipate connectivity and importation risk.
12 organizations from Spain, Greece, Belgium, Germany, Switzerland and the United Kingdom participate in the E4Warning consortium. The consortium is highly complementary in disciplinary expertise and background, including entomology, movement ecology, epidemiology, Earth observation, sensor engineering, citizen science expertise, and spatial statistical modeling. The methodologies will follow an open innovation model, which will include both public and private R&I, and stakeholders and citizens following a Quadruple Helix (QH) model.
- Agencia Estatal Consejo Superior de Investigaciones Científicas (CSIC)
- Irideon SL (IRIDEON)
- Avia-GIS NV (AVIA-GIS)
- Environmental Research Group Oxford Limited (ERGO)
- Universitat Pompeu Fabra (UPF)
- Benaki Phytopathological Institute (BPI)
- Barcelona Supercomputing Center-Centro Nacional de Supercomputación (BSC)
- HR Wallingford Limited (HRW)
- The chancellor, masters, and scholars of the University of Oxford (UOXF)
- Scuola Universitaria Professionale della Svizzera Italiana (SUPSI)
- Max-Planck-Gesellschaft zur Förderung der Wissenschaften EV (MPG)
- Agència de Salut Pública de Barcelona (ASPB)
