Details
| Original language | English |
|---|---|
| Article number | 100701 |
| Journal | The Lancet Regional Health - Europe |
| Volume | 32 |
| Publication status | Published - Sept 2023 |
Abstract
Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of infectious diseases in Europe. We propose a framework for the co-production of policy-relevant indicators and decision-support tools that track past, present, and future climate-induced disease risks across hazard, exposure, and vulnerability domains at the animal, human, and environmental interface. This entails the co-development of early warning and response systems and tools to assess the costs and benefits of climate change adaptation and mitigation measures across sectors, to increase health system resilience at regional and local levels and reveal novel policy entry points and opportunities. Our approach involves multi-level engagement, innovative methodologies, and novel data streams. We take advantage of intelligence generated locally and empirically to quantify effects in areas experiencing rapid urban transformation and heterogeneous climate-induced disease threats. Our goal is to reduce the knowledge-to-action gap by developing an integrated One Health—Climate Risk framework.
Keywords
- Adaptation, Climate change, Climate policy, Co-production, Human health, Infectious disease, Mitigation, One Health, Planetary health
ASJC Scopus subject areas
- Medicine(all)
- Internal Medicine
- Medicine(all)
- Oncology
- Medicine(all)
- Health Policy
Sustainable Development Goals
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In: The Lancet Regional Health - Europe, Vol. 32, 100701, 09.2023.
Research output: Contribution to journal › Review article › Research › peer review
}
TY - JOUR
T1 - Decision-support tools to build climate resilience against emerging infectious diseases in Europe and beyond
AU - IDAlert Consortium
AU - Rocklöv, Joacim
AU - Semenza, Jan C.
AU - Dasgupta, Shouro
AU - Robinson, Elizabeth J.Z.
AU - Abd El Wahed, Ahmed
AU - Alcayna, Tilly
AU - Arnés-Sanz, Cristina
AU - Bailey, Meghan
AU - Bärnighausen, Till
AU - Bartumeus, Frederic
AU - Borrell, Carme
AU - Bouwer, Laurens
AU - Bretonnière, Pierre Antoine
AU - Bunker, Aditi
AU - Chavardes, Chloe
AU - van Daalen, Kim R.
AU - Encarnação, João
AU - González-Reviriego, Nube
AU - Guo, Junwen
AU - Johnson, Katie
AU - Koopmans, Marion P.G.
AU - Máñez Costa, María
AU - Michaelakis, Antonios
AU - Montalvo, Tomás
AU - Omazic, Anna
AU - Palmer, John R.B.
AU - Preet, Raman
AU - Romanello, Marina
AU - Shafiul Alam, Mohammad
AU - Sikkema, Reina S.
AU - Terrado, Marta
AU - Treskova, Marina
AU - Urquiza, Diana
AU - Sjodin, Henrik
AU - Farooq, Zia
AU - Sewe, Maquines
AU - MacGuire, Frances
AU - Zavitsanou, Evangelia
AU - Milonas, Panos
AU - Papachristos, Dimitrios
AU - Bisia, Marina
AU - Balatsos, Georgios
AU - Antonatos, Spyros
AU - Martinez-Urtaza, Jaime
AU - Triñanes, Joaquin
AU - Williams, Mark
AU - Dekramanjian, Berj
AU - Broome, Karl
AU - Johnson, Otis
AU - Wübbelmann, Thea
N1 - Publisher Copyright: © 2023 The Author(s)
PY - 2023/9
Y1 - 2023/9
N2 - Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of infectious diseases in Europe. We propose a framework for the co-production of policy-relevant indicators and decision-support tools that track past, present, and future climate-induced disease risks across hazard, exposure, and vulnerability domains at the animal, human, and environmental interface. This entails the co-development of early warning and response systems and tools to assess the costs and benefits of climate change adaptation and mitigation measures across sectors, to increase health system resilience at regional and local levels and reveal novel policy entry points and opportunities. Our approach involves multi-level engagement, innovative methodologies, and novel data streams. We take advantage of intelligence generated locally and empirically to quantify effects in areas experiencing rapid urban transformation and heterogeneous climate-induced disease threats. Our goal is to reduce the knowledge-to-action gap by developing an integrated One Health—Climate Risk framework.
AB - Climate change is one of several drivers of recurrent outbreaks and geographical range expansion of infectious diseases in Europe. We propose a framework for the co-production of policy-relevant indicators and decision-support tools that track past, present, and future climate-induced disease risks across hazard, exposure, and vulnerability domains at the animal, human, and environmental interface. This entails the co-development of early warning and response systems and tools to assess the costs and benefits of climate change adaptation and mitigation measures across sectors, to increase health system resilience at regional and local levels and reveal novel policy entry points and opportunities. Our approach involves multi-level engagement, innovative methodologies, and novel data streams. We take advantage of intelligence generated locally and empirically to quantify effects in areas experiencing rapid urban transformation and heterogeneous climate-induced disease threats. Our goal is to reduce the knowledge-to-action gap by developing an integrated One Health—Climate Risk framework.
KW - Adaptation
KW - Climate change
KW - Climate policy
KW - Co-production
KW - Human health
KW - Infectious disease
KW - Mitigation
KW - One Health
KW - Planetary health
UR - http://www.scopus.com/inward/record.url?scp=85170215685&partnerID=8YFLogxK
U2 - 10.1016/j.lanepe.2023.100701
DO - 10.1016/j.lanepe.2023.100701
M3 - Review article
AN - SCOPUS:85170215685
VL - 32
JO - The Lancet Regional Health - Europe
JF - The Lancet Regional Health - Europe
M1 - 100701
ER -