优先考虑气候和健康建模需求。

IF 21.6 1区 医学 Q1 ENVIRONMENTAL SCIENCES
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
{"title":"优先考虑气候和健康建模需求。","authors":"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","doi":"10.1016/j.lanplh.2025.101297","DOIUrl":null,"url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101297"},"PeriodicalIF":21.6000,"publicationDate":"2025-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Priority climate and health modelling needs.\",\"authors\":\"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\",\"doi\":\"10.1016/j.lanplh.2025.101297\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>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.</p>\",\"PeriodicalId\":48548,\"journal\":{\"name\":\"Lancet Planetary Health\",\"volume\":\" \",\"pages\":\"101297\"},\"PeriodicalIF\":21.6000,\"publicationDate\":\"2025-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Lancet Planetary Health\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1016/j.lanplh.2025.101297\",\"RegionNum\":1,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"ENVIRONMENTAL SCIENCES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Lancet Planetary Health","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1016/j.lanplh.2025.101297","RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0

摘要

气候和健康建模对于更好地了解当前和未来与气候有关的健康风险的分布和时间是必要的。然而,在这一领域的投资不足限制了为能够采取多部门干预措施以保障健康的政策提供信息所需的了解。我们综合了对65位全球气候和健康建模专家和36位混合会议参与者的调查得出的见解,以确定提高气候和健康模型的有效性、实用性和政策相关性的优先战略。支持建模的基础投资包括加强研究能力、建立跨学科研究和能力建设的多国卓越中心网络、改进数据收集和共享基础设施、投资于情景开发和定量阐述、评估适应效果、致力于模型间比较和跨学科建模活动。具体建议包括更新2014年世卫组织定量风险评估,以涵盖更广泛的因果途径和健康终点,使用跨学科方法促进模型相互比较。其他建议包括支持建立一套更广泛的气候卫生结果模型,开发模型以支持预警系统并投资于其实施、评估和维护,以及提高卫生系统在资源匮乏环境下建立模型的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Priority climate and health modelling needs.

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.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
28.40
自引率
2.30%
发文量
272
审稿时长
8 weeks
期刊介绍: The Lancet Planetary Health is a gold Open Access journal dedicated to investigating and addressing the multifaceted determinants of healthy human civilizations and their impact on natural systems. Positioned as a key player in sustainable development, the journal covers a broad, interdisciplinary scope, encompassing areas such as poverty, nutrition, gender equity, water and sanitation, energy, economic growth, industrialization, inequality, urbanization, human consumption and production, climate change, ocean health, land use, peace, and justice. With a commitment to publishing high-quality research, comment, and correspondence, it aims to be the leading journal for sustainable development in the face of unprecedented dangers and threats.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信