Lancet Planetary Health最新文献

{"title":"Indigenous Peoples’ Health: Reflections from the 25th annual meeting of the UN Permanent Forum on Indigenous Issues","authors":"Liz Willetts","doi":"10.1016/j.lanplh.2026.101520","DOIUrl":"10.1016/j.lanplh.2026.101520","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 8","pages":"Article 101520"},"PeriodicalIF":20.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148799769","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Direct and spillover hospitalisation patterns during climate hazards across regions of different health-system resilience levels in China: a nationwide retrospective analysis","authors":"Teng Wang PhD, Hanxu Shi PhD, Yujie Shi PhD, Peng Wang PhD, Prof Weiwen Li PhD, Jin Lv PhD, Wenliang Yao PhD, Zhisheng Liang MS, Mintao Su MS, Siwen Li PhD, Prof Bin Wang PhD, Murray Ramanathan MD, Prof Shyam Biswal PhD, Prof Steve Hung-Lam Yim PhD, Prof Ming Xu PhD, Prof Wenjia Cai PhD, Prof Wei Huang PhD, Prof Tiantian Li PhD, Prof Cunrui Huang PhD, Prof Haidong Kan PhD, Prof Zhenyu Zhang PhD","doi":"10.1016/j.lanplh.2026.101512","DOIUrl":"10.1016/j.lanplh.2026.101512","url":null,"abstract":"<div><h3>Background</h3><div>Health-system resilience serves as a key contributor in mitigating adverse health impacts during climate hazards. However, quantitative insights into resilience-associated health-care utilisation patterns and targeted adaptation policies remain scarce. We aimed to capture the spatiotemporal health impacts in disaster-exposed counties and their neighbouring counties in China during storms, floods, tropical cyclones, and blizzards or winter storms; understand the association between health-system resilience metrics and hazard-attributable hospitalisations; and develop evidence-based adaptation policies towards climate extremes.</div></div><div><h3>Methods</h3><div>In this retrospective, observational analysis of county-level aggregated hospitalisation data, we used a propensity score matching–difference-in-differences framework to assess the spatiotemporal changes of nine types of disease-specific hospitalisations in both disaster-exposed and neighbouring regions during storms, floods, tropical cyclones, and blizzards in China. We quantified the relative importance and health gains of health-system metrics during such hazards through random forest approach with interpretable partial dependence plots to derive evidence-based adaptation recommendations.</div></div><div><h3>Findings</h3><div>We included hospitalisation data from Jan 1, 2016 to Dec 31, 2023. In this period, 3241 county-hazard event combinations and 41 747 482 hospitalisations were recorded across 955 Chinese counties. The disaster-exposed regions experienced an initial decline in hospitalisation rates, followed by admission surges after disasters. For example, infectious disease admissions decreased by 11·92% (95% CI −10·53 to −13·31) during the flood-active period but increased by 7·68% (6·46–8·91) after 1–2 weeks of floods. Neighbouring zones were also affected through spillover effects, with infectious disease admissions increasing by 3·18% (1·76–4·61) after 1–2 weeks of the floods. Cardiovascular disease, injuries, infectious, respiratory, and mental disorders were more sensitive across all regions. Particularly for disaster-exposed counties, cardiovascular hospitalisations increased by 14·31% (7·34–21·29) during the tropical cyclone-active period. Notably, compared with low-resilience counties, high-resilience counties were associated with 19·48–30·03% smaller hazard-related relative changes in hospitalisation rates during the hazard-active period and 27·07–31·08% smaller hazard-related relative changes in hospitalisation rates in post-hazard periods. For instance, during the storm-active period, the increase in respiratory hospitalisations was 7·21% (0·67–13·75) in high-resilience counties versus 12·13% (5·20–19·05) in low-resilience counties. Health workforce (relative importance 14·58% during the hazard-active period and 13·80% during the post-hazard period) and service delivery (14·10% during the hazard-active period and 14·17% during the post-haza","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 8","pages":"Article 101512"},"PeriodicalIF":20.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148875616","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"From population to individual: advocating personalised digital tools for heat-health early warning in a changing climate","authors":"Peng Du PhD,&nbsp;Jingwei Zhang PhD,&nbsp;Yirong Liu MPH,&nbsp;Can Zhang PhD,&nbsp;Runmei Ma MM,&nbsp;Prof Tiantian Li PhD","doi":"10.1016/j.lanplh.2026.101511","DOIUrl":"10.1016/j.lanplh.2026.101511","url":null,"abstract":"<div><div>Escalating heat extremes under climate change are imposing substantial health burdens, with 2023 and 2024 consecutively breaking global temperature records. Mounting evidence suggests that heatwaves elevate the risks of hospitalisation and mortality across multiple disease categories, including ischaemic heart disease, stroke, chronic obstructive pulmonary disease, and acute kidney injury. Nonetheless, most existing heat-health warning systems remain primarily reliant on population-level predictions, and considering individual differences and disease-specific considerations when defining warning levels would benefit the effectiveness of early prevention for high-risk groups. In this Viewpoint, which is based on the framework of precision public health—delivering the right intervention to the right population at the right time—we propose a framework for personalised digital heat-health early warning tools comprising three dimensions: individualised, risk-stratified prediction models that generate tiered early warnings; personalised health prompts coupled with theory-informed behavioural interventions; and adaptive, equity-oriented alert delivery mechanisms tailored to diverse populations. Such tools have the potential to bridge precision disease prevention and climate adaptation, thereby helping to mitigate heat exposure risks and disease burdens, particularly among high-risk populations. Future implementation research will be essential to address substantial challenges related to feasibility, validation, and equity.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 8","pages":"Article 101511"},"PeriodicalIF":20.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148875655","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Future proofing food systems","authors":"The Lancet Planetary Health","doi":"10.1016/j.lanplh.2026.101535","DOIUrl":"10.1016/j.lanplh.2026.101535","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 8","pages":"Article 101535"},"PeriodicalIF":20.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148978510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Exploring China’s Clean Air Act and associated cardiovascular disease risk: a prospective, quasi-experimental, and causal inference modelling study","authors":"Dong Sun PhD,&nbsp;Xia Meng PhD,&nbsp;Jingcen Hu BM,&nbsp;Canqing Yu PhD,&nbsp;Dianjianyi Sun PhD,&nbsp;Yuanjie Pang PhD,&nbsp;Pei Pei BSc,&nbsp;Ling Yang PhD,&nbsp;Yiping Chen DPhil,&nbsp;Huaidong Du PhD,&nbsp;Xiaofang Chen PhD,&nbsp;Xiaoming Yang PhD,&nbsp;Prof Junshi Chen PhD,&nbsp;Prof Zhengming Chen PhD,&nbsp;Prof Liming Li MPH,&nbsp;Prof Haidong Kan PhD,&nbsp;Prof Jun Lv PhD","doi":"10.1016/j.lanplh.2026.101513","DOIUrl":"10.1016/j.lanplh.2026.101513","url":null,"abstract":"&lt;div&gt;&lt;h3&gt;Background&lt;/h3&gt;&lt;div&gt;Substantial improvements in air quality have been recorded following the implementation of China's Clean Air Act (CCAA) in 2013. However, the association between CCAA implementation and individual-level cardiovascular disease (CVD) risk remains unclear. We aimed to examine the long-term association between CCAA implementation and individual-level predicted CVD risk.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Methods&lt;/h3&gt;&lt;div&gt;In this prospective, quasi-experimental study, we used data from the China Kadoorie Biobank, a prospective cohort study that recruited participants from five urban and five rural areas across China between 2004 and 2008, with three resurveys conducted after the baseline survey (in 2008, 2013–14, and 2020–21). We included 34 862 individuals (mean age 51·3 years) who participated in at least one resurvey and had no history of CVD at baseline. Participants were classified into intervention (n=25 497) and control (n=9365) groups based on the local government’s targets for particulate matter reduction. We estimated the 10-year risk of incident CVD morbidity or mortality using a validated risk prediction model. We used a difference-in-difference model to assess the long-term association between CCAA implementation and predicted risk, with adjustments made for regional confounders and individual-level characteristics, including demographics, lifestyle factors, medical history, and indoor air pollution exposure. The relationship between changes in long-term exposure to PM&lt;sub&gt;2·5&lt;/sub&gt;, PM&lt;sub&gt;10&lt;/sub&gt;, and O&lt;sub&gt;3&lt;/sub&gt; and predicted risk after CCAA implementation was analysed using a linear model. The estimated risk differences associated with air pollutant changes were estimated based on the magnitude of changes and their corresponding effect sizes.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Findings&lt;/h3&gt;&lt;div&gt;After the CCAA was implemented, PM&lt;sub&gt;2·5&lt;/sub&gt; and PM&lt;sub&gt;10&lt;/sub&gt; concentrations declined in both groups, but O&lt;sub&gt;3&lt;/sub&gt; concentrations increased. The intervention group showed a 3·95% (95% CI 3·18–4·72%) lower increase in predicted risk than the control group, with larger estimated differences under stricter enforcement. Between 2013 and 2021, each 10 μg/m&lt;sup&gt;3&lt;/sup&gt; change in PM&lt;sub&gt;2·5&lt;/sub&gt; concentration was positively associated with a 1·80 (1·34–2·27) percentage point change in predicted CVD risk, whereas each 10 μg/m&lt;sup&gt;3&lt;/sup&gt; change in PM&lt;sub&gt;10&lt;/sub&gt; concentration was associated with a 1·24 (0·84–1·63) percentage point change and each 10 μg/m&lt;sup&gt;3&lt;/sup&gt; change in O&lt;sub&gt;3&lt;/sub&gt; concentration with a 0·58 (0·33–0·83) percentage point change. Overall, the observed changes in air pollutants during the study period were associated with an average 6·6 percentage point reduction in predicted CVD risk.&lt;/div&gt;&lt;/div&gt;&lt;div&gt;&lt;h3&gt;Interpretation&lt;/h3&gt;&lt;div&gt;The CCAA and improved air quality were associated with a slower increase in predicted CVD risk, supporting the necessity for stricter, multipollutant air quality policies to maximise public ","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 8","pages":"Article 101513"},"PeriodicalIF":20.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148875549","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate change and animal infectious diseases: a systematic review of emerging evidence","authors":"Andrea Lavarello-Schettini DVM MPH,&nbsp;Romina Lavarello-Schettini MSc,&nbsp;Muskan Hashim MSc,&nbsp;Reina S Sikkema DVM PhD,&nbsp;Paolo Tizzani DVM PhD,&nbsp;Prof Joacim Rocklöv PhD","doi":"10.1016/j.lanplh.2026.101524","DOIUrl":"10.1016/j.lanplh.2026.101524","url":null,"abstract":"<div><div>Climate change is increasingly recognised as a major driver of infectious disease dynamics, yet its impact on animal health remains understudied compared with its impact on human populations. This systematic review aimed to assess the effects of climate variability and change on the epidemiology of animal infectious diseases, focusing on measurable changes in disease incidence, prevalence, mortality, and geographical distribution. We searched PubMed and CAB Abstracts for studies published between Jan 1, 1970, and Dec 31, 2024, and identified 33 eligible studies that that assessed associations between climatic factors and observed disease outcomes in animal populations. The evidence base has grown over the past decade but remains geographically and taxonomically imbalanced. Most (24 [73%] of 33) studies reported positive associations between climatic variables and increased disease risk, expanded geographical ranges, or higher prevalence. Vector-mediated mechanisms were consistently proposed as underlying drivers (25 [76%] of 33). Domestic species were the most frequently studied hosts (18 [55%] of 33), whereas wildlife hosts were under-represented (11 [33%] of 33). Four studies (12%) included mixed host populations. 6200 studies identified by our search were excluded because they relied solely on environmental suitability indices, vector abundance models, or synthetic epidemiological outcomes, highlighting a persistent scarcity of longitudinal empirical disease data linked to long-term changes in weather and climate. Although modelling approaches are valuable for risk projection, the poor availability of longitudinal epidemiological data constrains validation and attribution. Overall, the available evidence suggests that climate variability and change are reshaping animal infectious disease epidemiology, with important implications for animal health, food security, and zoonotic risk. However, important gaps in our understanding of these dynamics remain. Bridging these gaps, strengthening climate-aware surveillance, expanding data accessibility, and integrating animal health into One Health strategies will be essential to address emerging health risks.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 8","pages":"Article 101524"},"PeriodicalIF":20.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148971787","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Premature mortality and economic losses attributable to landscape fire-related PM2·5 in ten countries and territories: a causal analysis","authors":"Ke Ju PhD,&nbsp;Prof Rongbin Xu,&nbsp;Wenzhong Huang PhD,&nbsp;Zhengyu Yang PhD,&nbsp;Tingting Ye PhD,&nbsp;Wenhua Yu PhD,&nbsp;Yiwen Zhang PhD,&nbsp;Bo Wen PhD,&nbsp;Yao Wu PhD,&nbsp;Pei Yu PhD,&nbsp;Yanming Liu PhD,&nbsp;Shuang Zhou PhD,&nbsp;Gongbo Chen PhD,&nbsp;Zhihu Xu MSc,&nbsp;Prof Michael Abramson,&nbsp;Prof Guy Marks,&nbsp;Prof Lidia Morawska,&nbsp;Prof Fay H Johnston,&nbsp;Prof Jane Heyworth,&nbsp;Geoffrey Morgan PhD,&nbsp;Prof Yuming Guo","doi":"10.1016/j.lanplh.2026.101506","DOIUrl":"10.1016/j.lanplh.2026.101506","url":null,"abstract":"<div><h3>Background</h3><div>Landscape fire-related fine particulate matter (LF-PM_2·5) is associated with premature mortality. However, the mortality-related economic burden of LF-PM_2·5 remains poorly quantified. We aimed to estimate the short-term effects of LF-PM_2·5 on mortality and the associated economic losses.</div></div><div><h3>Methods</h3><div>In this causal analysis, we linked daily mortality records from 1366 communities in ten countries and territories during 2000–19 to population-weighted LF-PM_2·5 concentrations estimated from daily modelled data. Economic losses were estimated using adjusted values of a statistical life. We estimated community-specific associations using instrumental variable models and pooled them using random-effects meta-analysis. We compared instrumental variable estimates with traditional association estimates as well as corresponding estimates for non-LF-PM_2·5.</div></div><div><h3>Findings</h3><div>We analysed 47 844 851 deaths, corresponding to mortality-related economic losses valued at US$60·6 trillion. Each 1 μg/m³ increase in the 2-day moving average of LF-PM_2·5 was associated with a 0·60% (95% CI 0·19–1·00) increase in mortality and a 0·59% (0·21–0·97) increase in economic losses. An estimated 906 869 deaths and $994·5 billion in economic losses were attributable to LF-PM_2·5, with attributable fractions of 1·90% for deaths and 1·64% for economic losses. Traditional association estimates were found to be lower than instrumental variable estimates by a median of 56·0% (2·2–111·3) for mortality and 62·3% (9·0–116·1) for economic losses. LF-PM_2·5 represented 19·0% of ambient PM_2·5 mass but accounted for 30·6% of PM_2·5-attributable deaths and 27·7% of PM_2·5-attributable economic losses.</div></div><div><h3>Interpretation</h3><div>Short-term exposure to LF-PM_2·5 was associated with substantial mortality and economic losses across diverse settings. The disproportionate contribution of LF-PM_2·5 to PM_2·5-attributable burden, together with the larger instrumental-variable estimates, suggests that traditional assessments might understate the consequences of landscape fire smoke.</div></div><div><h3>Funding</h3><div>National Health and Medical Research Council, China Scholarship Council.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 8","pages":"Article 101506"},"PeriodicalIF":20.5,"publicationDate":"2026-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148983484","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Advancing environmental sustainability in health care: evaluating and prioritising sustainability measures for quality reporting and improvement","authors":"Michael Padget PhD,&nbsp;Gregg Furie MD,&nbsp;Dionne Kringos PhD,&nbsp;Prof Patrick S Romano MD,&nbsp;Jonathan E Slutzman MD","doi":"10.1016/j.lanplh.2026.101501","DOIUrl":"10.1016/j.lanplh.2026.101501","url":null,"abstract":"<div><div>Achieving environmentally sustainable health systems represents a crucial objective for both planetary and human health. Integrating environmental measures into existing health-care quality measurement and improvement frameworks can greatly advance sustainability efforts. However, current environmental measures have not been evaluated for this purpose. In this Personal View, we evaluate commonly reported measures of environmentally sustainable health care against standard criteria and propose a minimum set of standard environmental sustainability measures compatible with quality reporting standards. Common measures of environmental sustainability were identified at the hospital and health-facility level through a literature review. We created generic, representative measures based on the environmental domain (eg, greenhouse gases, energy) and evaluated them using quality measure criteria established by the Partnership for Quality Measurement. Six generic measures were created and evaluated across the domains of greenhouse gas emissions, water use, energy use, travel, and solid waste. Although all six measures were considered of high importance, two (distance travelled by patients and staff and mass of total [scopes 1, 2, and 3] carbon dioxide-equivalent emissions per year) showed weaknesses in scientific acceptability and feasibility, and one (energy consumed per year) was highly correlated with and less informative than the others. No measures evaluated included a consistent method for standardisation. The proposed minimum set comprises measures of greenhouse gas emissions (scopes 1 and 2), water use, and solid waste production, standardised by adjusted patient-days. To our knowledge, this work presents the first proposed list of environmental measures for use in quality reporting and a pathway for integrating environmental sustainability measures into existing quality measurement frameworks.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 7","pages":"Article 101501"},"PeriodicalIF":20.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148702577","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Mitigating the effects of air pollution on cardiovascular diseases: community-based interventions for risk monitoring and communication","authors":"Kiran Bam,&nbsp;Rajshree Thapa,&nbsp;Shiva Raj Mishra,&nbsp;Muideen T Olaiya,&nbsp;Kiran Acharya,&nbsp;Navaraj Bhattarai,&nbsp;Bhagawan Shrestha,&nbsp;Mark R Nelson,&nbsp;Yuming Guo,&nbsp;Monique F Kilkenny","doi":"10.1016/j.lanplh.2026.101499","DOIUrl":"10.1016/j.lanplh.2026.101499","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 7","pages":"Article 101499"},"PeriodicalIF":20.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148563078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Theory of change for building stronger wildlife health surveillance systems globally","authors":"Liz P Noguera Z PhD,&nbsp;Carrie Kappel PhD,&nbsp;Jonathan M Sleeman PhD,&nbsp;Marcela M Uhart DVM,&nbsp;François Diaz PharmD,&nbsp;Claire Cayol PhD,&nbsp;Keren Cox-Witton Dip,&nbsp;Clare Death PhD,&nbsp;Damien O Joly PhD,&nbsp;Kevin Brown Dip,&nbsp;Emma G Gardner PhD,&nbsp;Sarin Suwanpakdee PhD,&nbsp;Bernard Bett PhD,&nbsp;Kim M Pepin PhD,&nbsp;Kacey Yellowbird MSc,&nbsp;Dina Saulo MPhil,&nbsp;Oliver Morgan PhD,&nbsp;Sarah H Olson PhD,&nbsp;Mathieu Pruvot PhD","doi":"10.1016/j.lanplh.2026.101486","DOIUrl":"10.1016/j.lanplh.2026.101486","url":null,"abstract":"<div><div>Emerging and re-emerging infectious diseases affecting wildlife have highlighted the need for wildlife health surveillance (WHS), given the interconnected role of wildlife in maintaining the health of natural resources, agriculture, and human populations. Although global policies and guidelines exist, a key gap remains in the implementation of WHS systems at local and national levels. A working group of local, national, and global stakeholders in WHS was established to address this gap. In this Viewpoint, we report a theory of change (ToC) developed to support implementation of WHS from local to global scales. Using established methods for developing a collaborative ToC, we leveraged our expertise and identified six transformative pathways to be implemented via collaborations across scales and contexts: mindset change, policy and investment, evidence-based practice, user-driven technologies, capacity enhancement, and mobilisation of a global community of practice. This ToC serves as a roadmap for the development of effective WHS systems that support adaptive management and implementation. WHS is fundamental to understanding the impact of health threats on biodiversity, domestic animals, and humans. This ToC also presents an approach to operationalise the integration of wildlife health into collaborative One Health surveillance systems.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"10 7","pages":"Article 101486"},"PeriodicalIF":20.5,"publicationDate":"2026-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13549958/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148680618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}