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Priority climate and health modelling needs

  • Kristie L. Ebi
  • , Peng Bi
  • , Kathryn Bowen
  • , Michael Brauer
  • , Paul L.C. Chua
  • , Felipe J. Colón-González
  • , Asya Dimitrova
  • , Antonio Gasparrini
  • , Nelson Gouveia
  • , Shakoor Hajat
  • , Ian Hamilton
  • , Sherilee Harper
  • , Tomoko Hasegawa
  • , Masahiro Hashizume
  • , Clare Heaviside
  • , Yasushi Honda
  • , Carole Green
  • , Chris Jack
  • , Ho Kim
  • , Patrick Kinney
  • Brama Kone, Sari Kovats, Simon J. Lloyd, Andrew P. Morse, Nicholas H. Ogden, Shlomit Paz, Jeff Price, Sadie J. Ryan, Jan C. Semenza, Timothy Sheehan, Rachael Taylor, Bas van Ruijven, Ana Maria Vicedo-Cabrera, Rachel Warren, Ben Zaitchik, Jeremy J. Hess

Research output: Contribution to journalReview articlepeer-review

Abstract

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.

Original languageEnglish
Article number101297
JournalThe Lancet Planetary Health
Volume9
Issue number9
DOIs
StatePublished - Sep 2025

Bibliographical note

Publisher Copyright:
© 2025 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license. http://creativecommons.org/licenses/by-nc-nd/4.0/

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 9 - Industry, Innovation, and Infrastructure
    SDG 9 Industry, Innovation, and Infrastructure

ASJC Scopus subject areas

  • Medicine (miscellaneous)
  • Health(social science)
  • Health Policy
  • Public Health, Environmental and Occupational Health

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