From pixels to policies: geospatial data support against serious cross-border threats to health
- 1European Environment Agency, Copenhagen, Denmark
Abstract
The Regulation on serious cross-border threats to health (EU 2022/2371) established a reinforced framework for surveillance, early warning, and response across EU Member States. Yet detecting and anticipating climate- and environment-driven health threats requires going beyond traditional epidemiological surveillance, integrating environmental and socio-economic dimensions of population exposure and vulnerability into operational decision-support tools. This presentation introduces the EEA Health Crisis Toolbox, a geospatial platform integrating data from Copernicus, CAMS, EFFIS, and Eurostat to characterise population exposure and vulnerability across Europe. The Toolbox demonstrates how geospatial data can support early warning across four hazard scenarios — heatwaves, wildfires, flooding, and air pollution episodes — by combining real-time environmental monitoring with population density, age structure, and socio-economic vulnerability indicators. By translating geospatial data into actionable health intelligence, the Toolbox offers a concrete operational contribution to EU health security preparedness, bridging the gap between environmental monitoring and public health response in an era of accelerating climate risk.
Related
- Spatial distribution and ecological correlates of sexual, physical and emotional violence against adolescent girls and young women in Namibia: a geospatial analysis of a national cross-sectional survey.
- Decision Support in Publicly Available Patient Information Policies at U.S. Osteopathic Medical Schools: A Vignette-Based Document Analysis
- Maintaining EHR-based Predictive Clinical Decision Support in Mental Health against Temporal Shifts
- The tsunami that never arrived: An analysis of the causes and mechanisms of the psycho-infodemic and the resulting threats to social security in the era of the COVID-19 pandemic
- Glucagon-Like Peptide 1 Receptor Agonists, Mortality, and Cardiovascular Outcomes in Serious Mental Illness
BibTeX
@article{massaro2026from,
title = {{From pixels to policies: geospatial data support against serious cross-border threats to health}},
author = {E Massaro},
journal = {The European Journal of Public Health},
year = {2026},
month = oct,
doi = {10.1093/eurpub/ckag169.030},
url = {https://doi.org/10.1093/eurpub/ckag169.030},
note = {CC BY-NC 4.0},
}
RIS
TY - JOUR
TI - From pixels to policies: geospatial data support against serious cross-border threats to health
AU - E Massaro
PY - 2026
DA - 2026/10/01
JO - The European Journal of Public Health
DO - 10.1093/eurpub/ckag169.030
UR - https://doi.org/10.1093/eurpub/ckag169.030
AB - The Regulation on serious cross-border threats to health (EU 2022/2371) established a reinforced framework for surveillance, early warning, and response across EU Member States. Yet detecting and anticipating climate- and environment-driven health threats requires going beyond traditional epidemiological surveillance, integrating environmental and socio-economic dimensions of population exposure and vulnerability into operational decision-support tools. This presentation introduces the EEA Health Crisis Toolbox, a geospatial platform integrating data from Copernicus, CAMS, EFFIS, and Eurostat to characterise population exposure and vulnerability across Europe. The Toolbox demonstrates how geospatial data can support early warning across four hazard scenarios — heatwaves, wildfires, flooding, and air pollution episodes — by combining real-time environmental monitoring with population density, age structure, and socio-economic vulnerability indicators. By translating geospatial data into actionable health intelligence, the Toolbox offers a concrete operational contribution to EU health security preparedness, bridging the gap between environmental monitoring and public health response in an era of accelerating climate risk.
SN - 1101-1262
SN - 1464-360X
ER -