BIG DATA IN ENVIRONMENTAL AND OCCUPATIONAL EPIDEMIOLOGY: THE BEEP PROJECT

M. Stafoggia (1), C. Gariazzo (2), P. Michelozzi (1), F. Forastiere (3), C. Silibello (4), S. Fasola (3), S. Maio (5), S. Baldacci (5), G. Viegi (3,5)

(1) Department of Epidemiology, Lazio Regional Health Service / ASL Roma 1, Rome, Italy; (2) INAIL-Research Center, Monteporzio Catone, Rome,

Italy; (3) Institute of Biomedicine and Molecular Immunology (CNR-IBIM), Palermo, Italy; (4) ARIANET Srl, Milan, Italy; (5) Institute of Clinical

Physiology (IFC-CNR), Pisa, Italy

Presenting author email: c.gariazzo@inail.it

Background

One of the big challenges of the modern environmental epidemiology is to collect and link a huge amount of heterogeneous geographic, environmental and health data to get

integrated information otherwise not available. Big Data analysis is an emerging topic which allows epidemiologists to get insights from a large amount of structured and

unstructured information. The ongoing BEEP (Big data in Environmental and occupational Epidemiology) project is presented.

General Objective:

To estimate the health effects of several environment risk factors (air pollution, noise, meteorological conditions) on the Italian population at municipal level;

To evaluate the risk of injuries in sub-populations of workers in relation to environmental exposures.

Specific Objectives

To estimate the health effects in terms of hospitalizations and occupational accidents,;

To evaluate the risk of non-accidental and cardio-respiratory mortality among the residents of five Italian regions (municipality level);

To evaluate the adverse effects of air pollution and extreme temperatures on mortality and occupational accidents within six urban metropolitan areas (census block spatial

resolution);

To evaluate the joint short- and long-term health effects of environmental exposures in the longitudinal Studies of Rome and Pisa-Cascina (individual level) .

Duration:

The Project started on June 2017 and will last two years.

Specific Objectives are focused at different spatial domains ranging from the national territory to the urban micro-scale

National scale (resol. 5x5 km2) Regional scale (resol. 0.5x0.5 km2) Urban scale (resol. census level) Urban street level (resol. 5x5 m2)

Expected results

National level relational database containing following data: geographic, meteorolog-

ical, demographic, air pollution and noise exposures at high spatial-temporal resolu-

tion;

High-resolution daily maps of temperature and air pollutants concentration at nation-

al level;

Effects of air pollution and extreme temperatures on hospitalizations and cause-

specific mortality at national and municipality levels;

Acute effects of environmental exposures on occupational accidents;

Estimation of urban population mobility based on mobile phone traffic data;

Mobile phone use effects on road accidents risks;

Short-term and long-term health effects of environmental exposure in five metropoli-

tan areas at census-block level;

Effects of heavy rain and extreme temperatures on the risk of road accidents and in-

juries in Rome

web site: www.progettobeep.it

Exposure methods

Chemical Transport Model Satellite AOD Satellite surface temperature

National scale Regional scale

Noise map urban population

mobility based on

mobile phone data

Pollution maps

Urban scale

Acknowledgement: This work was supported by INAIL Bando Ricerche in Collaborazione (BRiC)

Other data to be used and/or produced

Land use

Mortality and hospitalizations;

Cross-sectional and longitudinal data of resident population;

occupational injuries;

road accidents with injuries while commuting.