Category Research project
  • Expositionsschätzung
  • Mikrobiologie

Translating Science into Policy: A Multisectoral Approach to Adaptation and Mitigation of Adverse Effects of Vector-Borne Diseases, Environmental Pollution and Climate Change on Planetary Health

Project status
In Progress
Project start
Jan 2024
Project end
Dec 2027
Acronym
PLANET4HEALTH
Department
Exposition

Description and Objective

The Planet4Health project pursues a cross-sectoral approach to adapt and reduce the adverse effects of vector-borne diseases, environmental pollution and climate change on the health of the planet. BfRshort forGerman Federal Institute for Risk Assessment (Department ExposureExposureTo glossary) is conducting a case study on PFAS contamination in Central Europe and examining the widespread use of PFAS and the associated detection of these substances in various media, such as food and the environment. Specific challenges in the investigation of PFAS risks are to be examined using pathway-oriented modelling approaches that can provide information on the accumulation of PFAS. As part of the PLANET4HEALTH project, efforts are being made to improve modelling techniques and analyse environmental factors to mitigate PFAS pollution in food and water sources. Tools are being developed for this purpose. The BfRshort forGerman Federal Institute for Risk Assessment is involved in the development of these tools.
Type of project

Third-party funded project

Research focus

Gesundheit von Mensch, Tier und Umwelt (One Health)

Organisational units and partners

Lead specialist group: Epidemiologie, Statistik und Expositionsmodellierung (33)
Contact persons: PDshort foroutside lecturer Dr. Christine Müller-Graf, Prof. Dr. Thomas Selhorst, Dr. Hans Mielke
Involved BfR partners: Exposition
External partner: AGES - Österreichische Agentur für Gesundheit und Ernährungssicherheit GmbH, Universität Venedig, Institute for Medical Research and Occupational Health, CICERO Center for International Climate Research, Privredno Drustvo Zentrix Lab, Neue Universität Lissabon, South African Medical Research Council, Predictia Intelligent Data Solutions S.L. , Universität Pompeu Fabra, Universität Pretoria, Vrije Universiteit Brussel, F6s Network Ireland Limited, Helmholtz-Zentrum für Umweltforschung GmbH, Associação Portuguesa De Medicina Geral E Familiar , Libra AI Technologies IKE, Wageningen University & Research

Funding body and grant number

Europäische Union
Grant Agreement 101136652