Use of Big Data in Environmental and Occupational Epidemiology - INAIL
The project ended in 2020The project aims to harness the potential and connectivity of big data to provide decision makers with the best available scientific knowledge to be able to plan interventions that aim to reduce the health effects of environmental exposures and to improve the quality and effectiveness of health care.
The general objective is to estimate, through methodologies for the use of big data, the health effects of air and noise pollution and weather-climate variables on the health of the Italian population.
Specifically, it is planned to determine air pollutant concentration maps at the census section level using data fusion techniques based on numerical modeling simulations at the metropolitan scale, observed pollutant concentration data provided by monitoring networks and spatial data, in six cities: Milan, Turin, Bologna, Rome, Bari and Palermo.
- Institute of Biomedicine and Molecular Immunology (IBIM) of the National Research Council (CNR), which collaborates internally with the Environmental Pulmonary Epidemiology Unit;
- Department of Epidemiology SSR Lazio/ASL Roma 1 (DIP EPI);
- Department of medicine, epidemiology, occupational and environmental hygiene of INAIL (INAIL - DIMEILA);
- Regional Agency for Environmental and Energy Prevention of Emilia Romagna, CTR Environment and Health (ARPAE - CTR-AS);
- Service of Epidemiology, Azienda Unità Sanitaria Locale, Reggio Emilia IRCCS (SIE Reggio Emilia);
- AOU City of Health and Science of Turin, SSD Clinical and evaluative epidemiology, Piedmont Oncology Prevention (CPO);
- Department of Health Activities and Epidemiological Observatory Assessorato Salute Regione Sicilia (DASOE);
- Institute of Atmospheric Sciences and Climate (ISAC) of the Italian National Research Council (CNR - ISAC);
- Institute for Chemical-Physical Processes (IPCF) of the CNR (CNR - IPCF).
Started in 2017, completed in 2020.
