Priority climate and health modelling needs

Dados Bibliográficos

ID13123729
AutoresKristie L Ebi (0000-0003-4746-8236, autor correspondente), Peng Bi (0000-0001-5594-1316, The University of Adelaide), Kayla Bowen (0000-0002-2125-1963, The University of Melbourne), Kathryn Bowen, Michael Brauer (0000-0002-9103-9343), Paul Lester Chua (0000-0001-7778-0189, The University of Tokyo), Paul L C Chua, Felipe J Colón‐González (0000-0002-9671-3405), Asya Dimitrova (0000-0002-7499-9588), Antonio Gasparrini (0000-0002-2271-3568, London School of Hygiene & Tropical Medicine), Nelson Gouveia (0000-0003-0625-0265, Universidade de São Paulo), Shakoor Hajat (0000-0002-3086-362X, London School of Hygiene & Tropical Medicine), Ian Hamilton (0000-0003-2582-2361, University College London), Sherilee L Harper (0000-0001-7298-8765, University of Alberta), Tomoko Hasegawa (0000-0003-2456-5789, Ritsumeikan University), Masahiro Hashizume (0000-0003-4720-1750, The University of Tokyo), Clare Heaviside (0000-0002-0263-4985, University College London), Yasushi Honda (0000-0003-2248-1629), Yasuhiro Honda (0000-0002-0102-7841, University of Tsukuba), Carole Green (0009-0002-0289-9681), Christopher Jack (0000-0002-0936-7277, University of Cape Town), Chris Jack, Ho Kim (0000-0001-7472-3752, Seoul National University), Patrick Kinney (Boston University), Brama Koné (0000-0001-9624-0647, Université Pelefero Gon Coulibaly), Stephen Kovat (0000-0002-4823-8099, London School of Hygiene & Tropical Medicine), Sari Kovats, Simon J Lloyd (0000-0002-9728-8674, Barcelona Institute for Global Health), Andrew P Morse (0000-0002-0413-2065, University of Liverpool), Nicholas H Ogden (0000-0002-1062-7283, Public Health Agency of Canada), Shlomit Paz (0000-0003-2659-7362, University of Haifa), Jeff Price (0000-0002-7795-5628, University of East Anglia), Sadie J Ryan (0000-0002-4308-6321, University of Florida), Jan C Semenza (0000-0002-4625-874X, Umeå University), Timothy J Sheehan, Timothy Sheehan, Rachael Taylor (0000-0002-1895-4123), Rachael C Taylor, Bas Van Ruijven (0000-0003-1232-5892, Sustainable Energy Systems (United Kingdom)), Ana Maria Vicedo-Cabrera, Rachel Warren (0000-0002-0122-1599, University of East Anglia), Benjamin F Zaitchik (0000-0002-0698-0658), Ben Zaitchik (Johns Hopkins University), Jim He (0000-0002-0440-2459), Jeremy J Hess
Ano2025
Volume9
Fascículo9
Páginas101297-101297
Data de publicação2025-09-01
Peer ReviewedSim
Open AccessSim
TipoARTICLE
PeriódicoThe Lancet Planetary Health (JOURNAL)
Identificadores do periódicoISSN: 2542-5196 • E-ISSN: 2542-5196
EditoraElsevier BV (PUBLISHER)
DOI10.1016/j.lanplh.2025.101297
PMID40957425
OpenAlexW4414307937
IdiomaEN
Citações recebidas1
Referências citadas21

Climate and health modelling is necessary for improving understanding of the current and future distribution and timing of climate-related health risks. However, underinvestment in this area has limited the understanding required to inform policies that enable multisectoral interventions to safeguard health. We synthesised insights from a survey of 65 global climate and health modelling experts and 36 participants in a hybrid meeting to identify priority strategies for enhancing the validity, utility, and policy relevance of climate and health models. Foundational investments to support modelling included strengthening research capacity, establishing a network of multinational centres of excellence for transdisciplinary research and capacity building, improving data collection and sharing infrastructure, investing in scenario development and quantitative elaboration, assessing adaptation effectiveness, and committing to intermodel comparisons and interdisciplinary modelling activities. Specific recommendations included updating the 2014 WHO Quantitative Risk Assessment to cover a wider range of causal pathways and health endpoints, using interdisciplinary methods that facilitate model intercomparisons. Additional recommendations included supporting modelling of a broader set of climate-health outcomes, developing models to support early warning systems and investments in their implementation, evaluation, and maintenance, and improving health system capacity for modelling in low-resource settings

Health Systems, Economic Evaluations, Quality of Life