Golden Christopher D, Childs Marissa L, Mudele Oladimeji E, Andriamizarasoa F Adolphe, Bouley Timothy A, De Nicola Giacomo, Fontaine Max A, Huybers Peter J, Mahatante Paubert T, Rabemananjara Rija, Rakotoarison Norohasina, Ramambason H Rakoto, Ramihantaniarivo Herlyne, Randriamady Hervet J, Randriatsara Hanitra, Ravelomanantsoa M Ando, Razafinimanana A K Symphonia, Rigden Angela J, Shumake-Guillemot Joy, Yasmine Lethicia L, Dominici Francesca
Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Environmental Health, Harvard TH Chan School of Public Health, Boston, MA, USA; Center for Climate, Health, and the Global Environment, Harvard TH Chan School of Public Health, Boston, MA, USA; Madagascar Health and Environmental Research (MAHERY), Maroantsetra, Madagascar.
Department of Nutrition, Harvard TH Chan School of Public Health, Boston, MA, USA; Department of Environmental and Occupational Health Sciences, University of Washington, Seattle, WA, USA.
Lancet Planet Health. 2025 Aug;9(8):101293. doi: 10.1016/j.lanplh.2025.101293. Epub 2025 Aug 20.
Climate change poses urgent public health risks from rising global temperatures and extreme weather events, including heatwaves, droughts, and floods, which disproportionately affect vulnerable populations. To address the current silos embedded in climate, environmental, and public health monitoring and surveillance systems, climate-smart public health (CSPH) creates an integrated platform for action across these sectors, enabling more rapid and efficient responses to climate-related public health challenges. In this Personal View, we introduce the concept of CSPH, a data-driven framework designed to monitor, assess, and adapt to climate-related health impacts. CSPH incorporates surveillance, risk assessment, early warning systems, and resilient health-care infrastructure to address the evolving challenges of climate change. The framework adopts an iterative, community-centred model that responds to local needs and incorporates feedback from health-care providers and policy makers. CSPH also leverages data science and artificial intelligence to address a wide range of health concerns, including infectious diseases, non-communicable diseases, nutrition, and mental health. We applied this framework in Madagascar, a region highly vulnerable to climate impacts, where poverty, malnutrition, and frequent extreme weather events make climate adaptation particularly urgent. Early data analysis has shown strong climate sensitivity in important diseases such as malaria and diarrhoea, which could enable preparedness efforts to target some regions more efficiently. CSPH provides a pathway to enhance resilience in such settings by improving the capacity of public health systems to withstand and respond to climate-related stressors.
气候变化因全球气温上升和极端天气事件带来紧迫的公共卫生风险，这些事件包括热浪、干旱和洪水，对弱势群体的影响尤为严重。为解决气候、环境和公共卫生监测与监督系统中当前存在的各自为政问题，气候智能型公共卫生（CSPH）创建了一个跨部门行动的综合平台，能够更快速有效地应对与气候相关的公共卫生挑战。在这篇个人观点文章中，我们介绍了CSPH的概念，这是一个旨在监测、评估和适应与气候相关的健康影响的数据驱动框架。CSPH纳入了监测、风险评估、早期预警系统和有韧性的医疗基础设施，以应对气候变化不断演变的挑战。该框架采用以社区为中心的迭代模式，回应当地需求，并纳入医疗服务提供者和政策制定者的反馈。CSPH还利用数据科学和人工智能来解决广泛的健康问题，包括传染病、非传染性疾病、营养和心理健康。我们在马达加斯加应用了这一框架，该地区极易受到气候影响，贫困、营养不良和频繁的极端天气事件使得气候适应尤为紧迫。早期数据分析表明，疟疾和腹泻等重要疾病对气候非常敏感，这可以使防范工作更有效地针对某些地区。CSPH通过提高公共卫生系统抵御和应对与气候相关压力源的能力，提供了一条在这种情况下增强韧性的途径。
