SPACE IN RESPONSE TO COVID-19 OUTBREAK
EPIDEMIOLOGICAL AND LOGISTIC COVID-19 MODEL
A web application to support Public Health
technicians and decision makers
in managing the control of epidemics
Support health professionals and citizens to face the challenges of the Coronavirus epidemic in Italy with innovative solutions and services.
Show how the use of space resources associated with other technologies facilitate the management of extraordinary circumstances.
EPICO19 uses advanced technologies: VHR images – Very High-Resolution and SatEO – Satellite Earth Observation as CAMS (Copernicus Atmosphere Monitoring Service) forecast service.
EPICO19 application is a DSS (Decision Support System) based on GIS (Geographic Information System), driven by an epidemiological engine trained through Machine Learning that provides forecasts on the spread of the epidemic.
EPICO19 uses SatEO (Satellite Earth Observation) to assess the vulnerability of the population to the virus due to exposure to pollutants and artificial intelligence applied to Very-High Resolution satellite images (VHR) to derive the mobility index.
The analysis of atmospheric pollution and meteorological variables prepared by TerrAria
STUDIOMAPP algorithms applied to Very-High Resolution satellite images (VHR)
Expertise in environmental epidemiology and preventive medicine of the UNIMORE research unit
TerrAria's ability to develop and integrate open-source IT platforms