Lancet Planetary Health最新文献

{"title":"Associations between weather extremes and faecal contamination along pathogen transmission pathways in rural Bangladeshi households: a prospective observational study","authors":"Caitlin G Niven BA ,&nbsp;Mahfuza Islam MPH ,&nbsp;Anna Nguyen MPH ,&nbsp;Jessica A Grembi PhD ,&nbsp;Andrew Mertens PhD ,&nbsp;Amy J Pickering PhD ,&nbsp;Laura H Kwong PhD ,&nbsp;Mahfuja Alam MS ,&nbsp;Debashis Sen MS ,&nbsp;Sharmin Islam MS ,&nbsp;Mahbubur Rahman MBBS ,&nbsp;Leanne Unicomb PhD ,&nbsp;Prof Alan E Hubbard PhD ,&nbsp;Prof Stephen P Luby MD ,&nbsp;Prof John M Colford Jr PhD ,&nbsp;Benjamin F Arnold PhD ,&nbsp;Jade Benjamin-Chung PhD ,&nbsp;Ayse Ercumen PhD","doi":"10.1016/S2542-5196(24)00306-1","DOIUrl":"10.1016/S2542-5196(24)00306-1","url":null,"abstract":"<div><h3>Background</h3><div>Weather extremes are predicted to influence pathogen exposure but their effects on specific faecal–oral transmission pathways are not well investigated. We evaluated associations between extreme rain and temperature during different antecedent periods (0–14 days) and <em>Escherichia coli</em> along eight faecal–oral pathways in rural Bangladeshi households.</div></div><div><h3>Methods</h3><div>We used data from the WASH Benefits Bangladesh cluster-randomised controlled trial (<span><span>NCT01590095</span><svg><path></path></svg></span>). <em>E coli</em> was enumerated in hand rinses from children younger than 5 years and their mothers, food, stored drinking water, tubewells, captured flies, ponds, and courtyard soil using IDEXX Quanti-Tray/2000 in nine rounds over 3·5 years and spatiotemporally matched to daily weather data. We used generalised linear models with robust standard errors to estimate <em>E coli</em> count ratios (ECRs) associated with extreme rain and temperature, defined as greater than the 90th percentile of daily values during the study period.</div></div><div><h3>Findings</h3><div>A total of 26 659 samples were collected during the study period. Controlling for temperature, extreme rain on the sampling day was associated with increased <em>E coli</em> in food (ECR=3·13 [95% CI 1·63–5·99], p=0·0010), stored drinking water (ECR=1·98 [1·36–2·88], p=0·0004), and ponds (ECR=3·46 [2·34–5·11], p&lt;0·0001), and reduced <em>E coli</em> in soil (ECR=0·36 [0·24–0·53], p&lt;0·0001). Extreme rain the day before sampling was associated with reduced <em>E coli</em> in tubewells (ECR=0·10 [0·02–0·62], p=0·014). Associations were similar for rainfall 1–7 days before sampling and slightly attenuated for rainfall 14 days before sampling. Controlling for rainfall, extreme temperature on the sampling day was associated with increased <em>E coli</em> in stored drinking water (ECR=1·49 [1·05–2·12], p=0·025) and food (ECR=3·01 [1·51–6·01], p=0·0020). Associations with temperature were similar for all antecedent periods and particularly pronounced for food. Neither rainfall nor temperature were consistently associated with <em>E coli</em> on hands and flies.</div></div><div><h3>Interpretation</h3><div>In rural Bangladesh, measures to control enteric infections following weather extremes should focus on water treatment and safe storage to reduce contamination of drinking water and food stored at home and on reducing exposure to surface waters.</div></div><div><h3>Funding</h3><div>Bill &amp; Melinda Gates Foundation, National Institutes of Health, World Bank.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 1","pages":"Pages e5-e13"},"PeriodicalIF":24.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11755722/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042454","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":"Recommendations to address the shortfalls of the EAT–Lancet planetary health diet from a plant-forward perspective","authors":"Anna-Lena Klapp MSc ,&nbsp;Nanine Wyma MBChB ,&nbsp;Roberta Alessandrini PhD ,&nbsp;Catherine Ndinda PhD ,&nbsp;Prof Armando Perez-Cueto PhD ,&nbsp;Prof Antje Risius PhD","doi":"10.1016/S2542-5196(24)00305-X","DOIUrl":"10.1016/S2542-5196(24)00305-X","url":null,"abstract":"<div><div>Shifting to dietary patterns rich in plants and low in animal-source foods could substantially lower emissions from the food sector while reducing the global burden of non-communicable diseases. The EAT–<em>Lancet</em> Commission proposed the planetary health diet (PHD) to emphasise plant-forward diets and set global targets to guide an urgently needed food-system transformation. However, the PHD's meat-reduction approach has attracted criticism and prompted debate on the potential micronutrient shortfalls of the plant-forward dietary approach. Since the planet simply cannot sustain human diets defaulting towards animal-based solutions, the objective of this Viewpoint is to provide recommendations that address the shortfalls of the PHD, with an emphasis on plant-based sourcing of food. Using a socioecological approach, along with an Integrative Sustainability Framework to evaluate dietary guidelines, in this Viewpoint we recommend seven key thematic areas for further development of the PHD. These themes relate to the bioavailability of micronutrients from plant-based foods, the inclusion of indigenous foods and practices, fortification and supplementation, cultural inclusiveness, and gender-based differences, a broader perspective on processed foods, and strengthening the concept by integrating the One Health approach.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 1","pages":"Pages e23-e33"},"PeriodicalIF":24.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042511","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":"Planetary Health Research Digest","authors":"Cahal McQuillan","doi":"10.1016/S2542-5196(25)00005-1","DOIUrl":"10.1016/S2542-5196(25)00005-1","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 1","pages":"Page e4"},"PeriodicalIF":24.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042503","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":"Mapping hotspots of zoonotic pathogen emergence: an integrated model-based and participatory-based approach","authors":"Julianne Meisner PhD ,&nbsp;Anna Baines DVM ,&nbsp;Isaac Ngere PhD ,&nbsp;Prof Patricia J Garcia PhD ,&nbsp;Chatchawal Sa-Nguansilp MSc ,&nbsp;Nguyen Nguyen PhD ,&nbsp;Cheikh Niang MS ,&nbsp;Kevin Bardosh PhD ,&nbsp;Thuy Nguyen MS ,&nbsp;Hannah Fenelon MPH ,&nbsp;McKenzi Norris MS ,&nbsp;Stephanie Mitchell MPH ,&nbsp;Cesar V Munayco DrPH ,&nbsp;Noah Janzing MPH ,&nbsp;Rane Dragovich BS ,&nbsp;Elizabeth Traylor BS ,&nbsp;Tianai Li BS ,&nbsp;Hanh Le MPH ,&nbsp;Alyssa Suarez MS ,&nbsp;Yassar Sanad PhD ,&nbsp;Felix Lankester PhD","doi":"10.1016/S2542-5196(24)00309-7","DOIUrl":"10.1016/S2542-5196(24)00309-7","url":null,"abstract":"<div><h3>Background</h3><div>An increase in pandemics of zoonotic origin has led to a growing interest in using statistical prediction to identify hotspots of zoonotic emergence. However, the rare nature of pathogen emergence requires modellers to impose simplifying assumptions, which limit the model's validity. We present a novel approach to hotspot mapping that aims to improve validity by combining model-based insights with expert knowledge.</div></div><div><h3>Methods</h3><div>We conducted a systematic literature review to identify predictors for zoonotic emergence events in three priority virus families (Filoviridae, Coronaviridae, and Paramyxoviridae). We searched PubMed, Web of Science, Agricola, medRxiv, bioRxiv, Embase, CAB Global Health, and Google Scholar on Oct 14–28, 2021, with no restrictions on language or the date of publication. Articles suggested by subject matter experts and those identified by a review of reference lists were also included. We used regularised regression to fit a model to the data extracted from the literature and produced maps of ranked risk. In a series of workshops in five countries (Kenya, Peru, Senegal, Thailand, and Viet Nam), experts in zoonotic diseases produced qualitative hotspot maps based on their expertise, which were compared with the model-derived maps.</div></div><div><h3>Findings</h3><div>425 articles were analysed, from which 19 predictors and 1068 outcome events were identified. The in-sample misclassification error was 0·365, and 89% of participant-selected zones were ranked as moderate or high risk by the model. Participant-selected zones were too large to be actionable without further refinement. Discordance was probably due to missing predictors for which no valid data exist, and homogeneity imposed by our global model.</div></div><div><h3>Interpretation</h3><div>Concordance between the two sets of maps supports the validity of each. Because model-based and participatory strategies have non-overlapping limitations, the results can be harmonised to minimise bias, and model-based results could be used to refine participant-selected zones. This approach shows potential for refining deployment of countermeasures to prevent future pandemics.</div></div><div><h3>Funding</h3><div>US Agency for International Development.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 1","pages":"Pages e14-e22"},"PeriodicalIF":24.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042474","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":"Post-growth: the science of wellbeing within planetary boundaries","authors":"Prof Giorgos Kallis PhD ,&nbsp;Prof Jason Hickel PhD ,&nbsp;Prof Daniel W O’Neill PhD ,&nbsp;Prof Tim Jackson PhD ,&nbsp;Prof Peter A Victor PhD ,&nbsp;Kate Raworth MSc ,&nbsp;Prof Juliet B Schor PhD ,&nbsp;Prof Julia K Steinberger PhD ,&nbsp;Prof Diana Ürge-Vorsatz PhD","doi":"10.1016/S2542-5196(24)00310-3","DOIUrl":"10.1016/S2542-5196(24)00310-3","url":null,"abstract":"<div><div>There are increasing concerns that continued economic growth in high-income countries might not be environmentally sustainable, socially beneficial, or economically achievable. In this Review, we explore the rapidly advancing field of post-growth research, which has evolved in response to these concerns. The central idea of post-growth is to replace the goal of increasing GDP with the goal of improving human wellbeing within planetary boundaries. Key advances discussed in this Review include: the development of ecological macroeconomic models that test policies for managing without growth; understanding and reducing the growth dependencies that tie social welfare to increasing GDP in the current economy; and characterising the policies and provisioning systems that would allow resource use to be reduced while improving human wellbeing. Despite recent advances in post-growth research, important questions remain, such as the politics of transition, and transformations in the relationship between the Global North and the Global South.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"9 1","pages":"Pages e62-e78"},"PeriodicalIF":24.1,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143042520","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":"Estimating the burden of temperature-related low birthweight attributable to anthropogenic climate change in low-income and middle-income countries: a retrospective, multicentre, epidemiological study","authors":"Zhenghong Zhu MS ,&nbsp;Tuantuan Zhang PhD ,&nbsp;Tarik Benmarhnia PhD ,&nbsp;Xin Chen MPH ,&nbsp;Huailin Wang MS ,&nbsp;Maimaitiminjiang Wulayin MS ,&nbsp;Luke D Knibbs PhD ,&nbsp;Prof Song Yang PhD ,&nbsp;Lianlian Xu PhD ,&nbsp;Prof Cunrui Huang PhD ,&nbsp;Qiong Wang PhD","doi":"10.1016/S2542-5196(24)00242-0","DOIUrl":"10.1016/S2542-5196(24)00242-0","url":null,"abstract":"<div><h3>Background</h3><div>Pregnant individuals are particularly susceptible to non-optimal temperatures due to their physiological status. Moreover, pregnancy is a crucial period for programming fetal health. Quantifying the impact of non-optimal temperature exposure and the contribution of anthropogenic climate change is crucial for mitigating and adapting to climate-related health risks. However, this has not been thoroughly studied in pregnant individuals in low-income and middle-income countries (LMICs).</div></div><div><h3>Methods</h3><div>Using data from 511 449 births across 31 LMICs from 1990 to 2018, we linked climate simulations (with and without anthropogenic forcing) to spatiotemporally resolved temperature data and birthweight records. We assessed the association between heat and cold exposure (ie, &gt;90th and &lt;10th percentile of temperature by region) during pregnancy and birthweight across different regions. We then used temperature simulations from both historically forced and natural-only forced climate models to estimate changes in exposure due to anthropogenic climate change and to quantify the burden of temperature-related low birthweight (ie, a birthweight &lt;2500 g) attributable to anthropogenic climate change.</div></div><div><h3>Findings</h3><div>Heat exposure during pregnancy, compared with the optimal temperature range, was associated with an increased risk of low birthweight in several regions: southern Asia (odds ratio 1·41, 95% CI 1·34–1·48), western Africa (1·12, 1·02–1·24), and eastern Africa (1·40, 1·27–1·55). Cold exposure increased the risk of low birthweight in central Africa (1·31, 1·10–1·56), southern Africa (1·18, 1·02–1·36), and eastern Africa (1·14, 1·02–1·26). Anthropogenic climate change contributed to approximately 59·2% (95% CI 16·6–94·3), 89·0% (51·0–100·0), and 77·3% (27·0–100·0) of heat-related low birthweight cases in southern Asia, western Africa, and eastern Africa, respectively. Conversely, in regions where cold exposure was predominant, anthropogenic climate change reduced the burden of low birthweight.</div></div><div><h3>Interpretation</h3><div>Our study provides quantitative estimates of the contribution of anthropogenic climate change to the low birthweight burden in LMICs. These findings can inform strategies for climate mitigation and adaptation in LMICs and help reduce global health inequalities.</div></div><div><h3>Funding</h3><div>National Natural Science Foundation of China.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"8 12","pages":"Pages e997-e1009"},"PeriodicalIF":24.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824765","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":"Engaging clinicians to reduce carbon-intensive, unnecessary tests and procedures","authors":"Wendy Levinson ,&nbsp;William K Silverstein","doi":"10.1016/S2542-5196(24)00301-2","DOIUrl":"10.1016/S2542-5196(24)00301-2","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"8 12","pages":"Pages e981-e982"},"PeriodicalIF":24.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824758","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":"Learning from nutrient profile models to inform environmental profile models","authors":"Özge Geyik ,&nbsp;Paraskevi Seferidi ,&nbsp;Eden M Barrett ,&nbsp;Alexandra Jones ,&nbsp;Simone Pettigrew ,&nbsp;Jason H Y Wu ,&nbsp;Michalis Hadjikakou","doi":"10.1016/S2542-5196(24)00269-9","DOIUrl":"10.1016/S2542-5196(24)00269-9","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"8 12","pages":"Pages e974-e976"},"PeriodicalIF":24.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824802","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":"The role of vector population variation and climate in Zika virus transmission patterns in Africa: a modelling study","authors":"Jamie M Caldwell PhD ,&nbsp;Louis Lambrechts PhD ,&nbsp;Noah H Rose PhD","doi":"10.1016/S2542-5196(24)00276-6","DOIUrl":"10.1016/S2542-5196(24)00276-6","url":null,"abstract":"<div><h3>Background</h3><div>Zika virus (ZIKV) outbreaks have raised major global health concerns recently, yet reported outbreaks are rare in Africa, where ZIKV was first discovered. Recent studies on <em>Aedes aegypti</em>, the mosquito that transmits ZIKV, might explain this phenomenon. The <em>Ae aegypti</em> subspecies present in Africa shows lower preference for biting humans and reduced susceptibility to ZIKV infection compared with the subspecies distributed outside Africa. Alternatively, climate might strongly limit transmission as it affects multiple traits of ZIKV and the mosquito vector.</div></div><div><h3>Methods</h3><div>We used a modelling approach informed by empirical data to assess ZIKV transmission risk across Africa. We fitted the model using data from laboratory experiments, and validated the model by comparing predicted transmission suitability with seroprevalence surveys conducted across Africa. Additionally, we used mosquito genetic and climate-based projections to map future ZIKV outbreak risk at 59 urban centres in Africa.</div></div><div><h3>Findings</h3><div>The model predictions partially and significantly explain historical patterns of ZIKV circulation in Africa (accounting for 46% of the variation in seroprevalence surveys). Mosquito population genetics influence transmission more strongly than climate through two mechanisms: vector–host contact and vector competence. If climate and mosquito genetic population projections are accurate and there are no other changes to drivers of Zika virus transmission in Africa, we predict that approximately three-quarters of the most populous African cities will be suitable for ZIKV outbreaks by the end of the century.</div></div><div><h3>Interpretation</h3><div>Both population-level genomic variation in mosquitoes and climate contribute to the lack of ZIKV outbreaks in Africa. Given the importance of mosquito genetics in driving this pattern, local genomic surveillance of mosquito populations would help predict outbreaks in vulnerable communities. This will become increasingly important with population growth, urbanisation, and climate change.</div></div><div><h3>Funding</h3><div>Princeton University, French Government's Investissement d’Avenir and France 2030 programmes, MSDAVENIR, and US National Institutes of Health.</div></div>","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"8 12","pages":"Pages e1020-e1029"},"PeriodicalIF":24.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142824833","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":"Nations prepare to give climate statements at world's top court","authors":"Isabella Kaminski","doi":"10.1016/S2542-5196(24)00304-8","DOIUrl":"10.1016/S2542-5196(24)00304-8","url":null,"abstract":"","PeriodicalId":48548,"journal":{"name":"Lancet Planetary Health","volume":"8 12","pages":"Pages e984-e985"},"PeriodicalIF":24.1,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142755820","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}