Air pollution leads to an estimated 400.000 premature deaths and noise pollution to approximately 12.000 premature deaths in Europe according to the European Environmental Agency.
Currently, evidence-based policymaking on environmental stressors faces methodological challenges.
To address this, the BEST-COST project will develop a novel methodological framework to quantify the burden, cost and social and health inequalities caused by air and noise pollution. The DTU National Food Institute is contributing to burden of disease estimations and data management and sharing.
This will enable researchers and policymakers to adopt a harmonised approach, and to make use of improved economic and health modelling in policy impact assessments. And ultimately contribute to improved policies and practices that reduce the burden of disease, and to living and working environments that are more health-promoting, equitable and sustainable.
BEST-COST results will be made available as open-access tools and trialled in five European countries (Belgium, Estonia, France, Norway and Portugal) before becoming transferable on a larger scale across Europe.
The four-year project is led by The Belgian Institute for Public Health Sciensano, and brings together a consortium of 17 partners from 10 European countries and the United States. BEST-COST is funded by the the European Health and Digital Executive Agency (HADEA) under the powers delegated by the European Commission.
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