Lancet Planetary Health最新文献

{"title":"Special Economic Zones, Casinos and the Threat of Zoonotic Diseases.","authors":"Georgina Kenyon","doi":"10.1016/j.lanplh.2026.101533","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101533","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101533"},"PeriodicalIF":20.5,"publicationDate":"2026-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148892369","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impacts of climate-driven yield changes on the affordability of healthy diets: a modelling study.","authors":"Yongye Jiang, Bo Fu, Philippe Ciais, Jonas Jägermeyr, Christoph Müller, Xinhao Suo, Guolong Chen, Yuqin Lai, Yang Ou, Xuhui Wang, Guofeng Shen, Bengang Li","doi":"10.1016/j.lanplh.2026.101519","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101519","url":null,"abstract":"<p><strong>Background: </strong>Food security is central to global nutrition improvement and public health goals, and healthy diets represent a higher-level aspiration beyond merely avoiding hunger. Climate change poses an increasing threat to food systems by affecting crop yields and food prices. Although climate change-driven risks to hunger have been widely studied, the extent to which climate change undermines the affordability of healthy diets while accounting for socioeconomic responses and regional inequalities remains insufficiently understood. This study aimed to quantify the effects of climate change on the future affordability of healthy diets under alternative socioeconomic and climate scenarios.</p><p><strong>Methods: </strong>We developed an integrated modelling framework that explicitly couples multimodel crop-yield projections with an integrated assessment model (Global Change Analysis Model [GCAM]). Yield responses from six global gridded crop models driven by four climate models were integrated into GCAM, allowing endogenous socioeconomic adjustments such as land-use shifts, production reallocation, and price responses to emerge under shared socioeconomic pathways (SSPs). Diet affordability was then assessed using the Food and Agriculture Organization of the UN's Cost and Affordability of a Healthy Diet framework across three socioeconomic-climate scenarios (SSP1-2.6, SSP2-4.5, and SSP3-6.0).</p><p><strong>Findings: </strong>Under a high-emissions pathway (ie, SSP3-6.0), climate change was projected to render healthy diets unaffordable for a model-mean of 119 million people globally by 2100, even when CO<sub>2</sub> fertilisation effects are included, with the upper end of the model ensemble reaching about 1·6 billion people. In contrast, climate-induced affordability losses were found to be negligible under both a low-emissions pathway (ie, SSP1-2.6; -0·3 million) and a medium-emission pathway (SSP2-4.5; +0·2 million). Under a high-emission pathway, model-mean projections indicated that diet costs could increase by up to 12% in the most affected regions by the end of the century. Under medium emissions, cost increases were projected to remain below 4%, whereas under low emissions, affordability changes were projected to be minimum across regions (within approximately 0·5%). Substantial regional disparities emerged, with the largest and most consistent affordability losses concentrated in low-income regions that contributed least to historical greenhouse gas emissions. Under SSP3-6.0, these disparities persisted particularly in regions of Africa and Asia despite projected three-to-five-fold increases in income over the century, with climate-induced disruptions to food systems increasing the number of people unable to afford a healthy diet through mid-century.</p><p><strong>Interpretation: </strong>Climate change is likely to exacerbate global nutritional inequalities by disproportionately increasing the affordability risks of he","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101519"},"PeriodicalIF":20.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148875705","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Oil and gas well development and coccidioidomycosis risk in Kern County, CA, USA: a case-crossover study.","authors":"Lisa I Couper, David J X González, Simon K Camponuri, Amanda K Weaver, Gail L Sondermeyer Cooksey, Duc Vugia, Seema Jain, John Taylor, John Balmes, Ellen A Eisen, Justin V Remais, Jennifer R Head","doi":"10.1016/j.lanplh.2026.101521","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101521","url":null,"abstract":"<p><strong>Background: </strong>Coccidioidomycosis is an emerging fungal disease caused by inhaling Coccidioides spp spores. As spores reside in soil, activities that disturb soil and generate dust can aerosolise and transport the pathogen. The oil and gas industry has been extensively developed in some regions that are endemic for Coccidioides spp and has been associated with dust emissions. Although several adverse health outcomes have previously been associated with oil and gas development, its impact on coccidioidomycosis risk has not been investigated. We aimed to estimate the association between exposure to oil and gas well development (ie, wells in preproduction) and risk of coccidioidomycosis among residents living near new wells.</p><p><strong>Methods: </strong>In this case-crossover study, we obtained information on reported coccidioidomycosis cases and oil and gas well development between 2007 and 2022 in Kern County, CA, USA. We then compared exposure to preproduction wells within 5 km of each individual's place of residence during both hazard (ie, the 49-139 days before case onset) and control periods using conditional logistic regression.</p><p><strong>Findings: </strong>During the study period, 658 108 (72·4%) of 909 282 of Kern County residents lived within 5 km of at least one preproduction well, and 116 020 (12·8%) lived within 5 km of 23 or more preproduction wells within a single 90-day period. We estimated that the odds of coccidiomycosis incidence were 12·5% (95% CI 5·8-19·6) higher in the 90 days following exposure to at least one preproduction well within 5 km of an individual's place of residence and that the odds of infection increased by 0·7% (0·4-0·9) for each additional preproduction well developed within this distance.</p><p><strong>Interpretation: </strong>These findings support a previously-unrecognised association between the development of oil and gas wells and transmission of coccidioidomycosis, potentially driven by dust generation. Given the prevalence of oil and gas development in the study region, its impact on coccidioidomycosis incidence might be large.</p><p><strong>Funding: </strong>National Institutes of Health, National Science Foundation.</p>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101521"},"PeriodicalIF":20.5,"publicationDate":"2026-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148875775","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","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, Hanxu Shi, Yujie Shi, Peng Wang, Weiwen Li, Jin Lv, Wenliang Yao, Zhisheng Liang, Mintao Su, Siwen Li, Bin Wang, Murray Ramanathan, Shyam Biswal, Steve Hung-Lam Yim, Ming Xu, Wenjia Cai, Wei Huang, Tiantian Li, Cunrui Huang, Haidong Kan, Minghui Ren, Gordon G Liu, Chung Yee Kwok, Zhenyu Zhang","doi":"10.1016/j.lanplh.2026.101512","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101512","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;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.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;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.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Findings: &lt;/strong&gt;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-hazard peri","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101512"},"PeriodicalIF":20.5,"publicationDate":"2026-09-01","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":"","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, Jingwei Zhang, Yirong Liu, Can Zhang, Runmei Ma, Tiantian Li","doi":"10.1016/j.lanplh.2026.101511","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101511","url":null,"abstract":"<p><p>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.</p>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101511"},"PeriodicalIF":20.5,"publicationDate":"2026-09-01","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":"","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, Xia Meng, Jingcen Hu, Canqing Yu, Dianjianyi Sun, Yuanjie Pang, Pei Pei, Ling Yang, Yiping Chen, Huaidong Du, Xiaofang Chen, Xiaoming Yang, Junshi Chen, Zhengming Chen, Liming Li, Haidong Kan, Jun Lv","doi":"10.1016/j.lanplh.2026.101513","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101513","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&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;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&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;/p&gt;&lt;p&gt;&lt;strong&gt;Findings: &lt;/strong&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;/p&gt;&lt;p&gt;&lt;strong&gt;Interpretation: &lt;/strong&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 health benef","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101513"},"PeriodicalIF":20.5,"publicationDate":"2026-09-01","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":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing remote biosecurity assessment capacity through cloud-based sequencing in Antarctica.","authors":"Scott Jc Pallett, Louise D Emmerson, Jesus Rodriguez-Manzano, Matthew Cavuto, Luke Sp Moore, Lynette Phee","doi":"10.1016/j.lanplh.2026.101523","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101523","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101523"},"PeriodicalIF":20.5,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148851362","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A new normal?","authors":"The Lancet Planetary Health","doi":"10.1016/j.lanplh.2026.101530","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101530","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101530"},"PeriodicalIF":20.5,"publicationDate":"2026-08-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148851336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Playing with fire.","authors":"Mandip Aujla","doi":"10.1016/j.lanplh.2026.101527","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101527","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101527"},"PeriodicalIF":20.5,"publicationDate":"2026-08-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148841715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Development, implementation, and evaluation of a Planetary Health menu in a Canadian hospital: an experimental study.","authors":"Annie Lalande, Elaine Eppler, Tiffany Chiang, Liena Pow, Yvonne Deng, Neha Gadhari, Jiaying Zhao, Andrea J MacNeill","doi":"10.1016/j.lanplh.2026.101483","DOIUrl":"https://doi.org/10.1016/j.lanplh.2026.101483","url":null,"abstract":"<p><strong>Background: </strong>Widespread adoption of plant-rich diets, such as the EAT-Lancet Planetary Health Diet (PHD), could mitigate climate change while providing health and societal benefits. In this study, we develop and implement a plant-rich menu for hospital inpatients, meeting the nutritional needs and constraints of an acute care setting, and we evaluate this menu's acceptability to patients.</p><p><strong>Methods: </strong>A Planetary Health (PH) menu was created by replacing greenhouse gas emission-intensive dishes with novel, low-emission dishes at lunch and dinner times. The PH menu was compared with the original hospital menu based on protein characteristics, nutritional adequacy, alignment with the PHD, and environmental impacts. The PH menu was then offered hospital-wide, and its acceptability was evaluated based on service frequency, patient satisfaction, and food waste.</p><p><strong>Findings: </strong>18 novel dishes were integrated into a PH menu that was nutritionally adequate and more culturally diverse than the original menu. The proportion of lunch and dinner offerings containing exclusively plant-sourced foods increased from zero in the original menu to 11 (39%) of 28 dishes. The PH menu was associated with 39% lower greenhouse gas emissions (mean, from 4·82 kg CO₂ equivalent to 2·93 kg CO₂ equivalent) and a 51% reduction in land use (mean, from 10·42 m² to 5·19 m²). The PH menu improved the alignment with the PHD by 32% (score, from 61·2 points to 81·0 points). On average, novel dishes were served to 443 (SD 66, 67%) of 661 hospitalised patients, with 84% of patients reporting moderate to high satisfaction. Waste rates for fish, soy, and pulses used in novel dishes were significantly lower than those used in original dishes containing these proteins.</p><p><strong>Interpretation: </strong>Plant-rich diets can be adapted to an inpatient health-care setting to meet patient preferences and nutritional requirements while achieving considerable environmental benefits.</p><p><strong>Funding: </strong>Vancouver Coastal Health Research Institute grant.</p>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":" ","pages":"101483"},"PeriodicalIF":20.5,"publicationDate":"2026-08-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"148833314","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}