The journal of climate change and health最新文献

{"title":"Comprehensive risk mapping for heatwave-sensitive chronic diseases mortality in Argentina: An approximation based on cardiovascular diseases","authors":"Juan D Pinotti ,&nbsp;Ximena Porcasi ,&nbsp;Sonia A Pou ,&nbsp;Camila Niclis ,&nbsp;María I Stimolo ,&nbsp;Laura R Aballay ,&nbsp;Rubén Actis Danna ,&nbsp;Sonia E Muñoz","doi":"10.1016/j.joclim.2025.100548","DOIUrl":"10.1016/j.joclim.2025.100548","url":null,"abstract":"<div><h3>Introduction</h3><div>Climate change poses increasing risks to human health, with heatwaves (HW) being a notable concern. This study pioneers the mapping of mortality risks associated with heat-sensitive Non-Communicable Diseases (NCDs) in Argentina, considering the simultaneous influence of HW and multiple underlying vulnerability factors.</div></div><div><h3>Materials and Methods</h3><div>The study integrates data from the National Statistical System, climate reanalysis, and remote sensing products by following the methodology outlined by Argentina's Climate Change Risk Mapping System. Vulnerability dimensions, including sociodemographic, environmental, pre-existing chronic conditions, and lifestyle-related factors, were analyzed to provide spatially resolved risk assessments. A random-intercept mixed effects model was fitted to assess adherence between the risk map and mortality from a heat-related NCD.</div></div><div><h3>Results</h3><div>Between 2006 and 2010, HW in Argentina displayed varied patterns in both intensity and extent. The vulnerability analyses reveal distinctive spatial patterns, with a notable broad diagonal from southwest to northeast. Maps indicate lower mortality risks in coastal and high-altitude areas of the northwest, with higher risks concentrated in the center-north of the country. Moreover, a positive association (RR 1·68; <em>p</em> &lt; 0·001) was found between age-standardized mortality rates from cardiovascular diseases and the overall risk estimates posed by HW.</div></div><div><h3>Discusion and conclusion</h3><div>The resulting risk map, developed through a protocolized methodology, underscores the intricate connections among contextual conditions, lifestyle attributes, and health outcomes. The study contributes to the empirical evidence base for understanding the relationship between NCDs and HW.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100548"},"PeriodicalIF":3.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145693902","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Reducing regulated medical waste: A roadmap for process improvement","authors":"Clarissa A. Niino ,&nbsp;Raanan Meyer ,&nbsp;Catherine John ,&nbsp;Kelly Wright","doi":"10.1016/j.joclim.2025.100553","DOIUrl":"10.1016/j.joclim.2025.100553","url":null,"abstract":"<div><h3>Introduction</h3><div>The United States is a major producer of medical waste. While the recommended standard percentage of Regulated Medical Waste (RMW) in health care facilities is 15% or less of overall waste, up to 70% of healthcare waste is disposed of as RMW, a third of which comes from the operating room.</div></div><div><h3>Methods</h3><div>We implemented a month long process change in the operating rooms at a high volume, urban hospital, with the goal of reducing the amount of operating room RMW production. This intervention involved education of staff and reducing RMW receptacles to one per room. Additionally, we created a roadmap to guide scalable implementation of this process change.</div></div><div><h3>Results</h3><div>Following the intervention, the median amount of RMW produced decreased significantly, from 19.11 tons to 7.44 tons per month. The percentage of monthly RMW of total waste decreased from 39.8% to 16.61%. The median cost of RMW disposal dropped from $17,537.52, or 77.06% of total waste cost to $6401.14, or 49.21% per month following the intervention. We also found a decrease in the median monthly total cost of waste disposal from $23,049.33 to $13,354.94.</div></div><div><h3>Conclusion</h3><div>RMW can be reduced by process changes that alter the convenience of operating room waste disposal. These changes have the potential to reduce healthcare’s carbon footprint, save thousands of dollars in disposal fees, and pave the way for other earth friendly initiatives.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100553"},"PeriodicalIF":3.6,"publicationDate":"2025-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145474522","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate change and health: An assessment of state level adaptation plans","authors":"Katharine Weber,&nbsp;Aparna Bole,&nbsp;John Balbus","doi":"10.1016/j.joclim.2025.100593","DOIUrl":"10.1016/j.joclim.2025.100593","url":null,"abstract":"<div><h3>Introduction</h3><div>While health impacts of climate change are increasingly evident, adaptation planning for climate health impacts in the United States (US) has lagged. In the absence of a national climate and health adaptation plan, varied approaches have been taken by states to address health in their adaptation planning. The authors reviewed state adaptation plans developed since 2008 to assess how health adaptation strategies were included and to document identified adaptation gaps and needs.</div></div><div><h3>Methods</h3><div>Plans were identified through Georgetown Climate Center’s State Adaptation Progress Tracker and a Google search. The authors developed a scoring rubric for consistency and evaluated plans based on such criteria as: Comprehensiveness, Inclusiveness, Monitoring and Evaluation. Adaptation priorities were noted and mapped to six categories.</div></div><div><h3>Results</h3><div>19 plans met inclusion criteria. Most plans (14) identified exposure pathways impacting health. About half of plans identified vulnerable populations, but only three addressed the vulnerability of health systems. Most plans (13 of 19) did not mention a vulnerability assessment or cite a data source discussing vulnerability indicators. Only two plans had clear metrics for success. Only three mentioned an implementation timeline.</div></div><div><h3>Conclusion</h3><div>This review highlights both positive aspects and gaps in state climate and health planning. Many state plans did discuss climate and health, exposure pathways, and vulnerable populations. States lack clear metrics for monitoring and evaluation or implementation. States may benefit from federal leadership through a national-level climate and health adaptation plan or the federal government’s development of planning guidance for states, localities, tribes and territories.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100593"},"PeriodicalIF":3.6,"publicationDate":"2025-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145363178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Evaluation of a novel learning simulation for organizational leadership in environmental sustainability","authors":"Alexander Negron Price ,&nbsp;Thomas Dakin ,&nbsp;Aditi Jayaram ,&nbsp;Ryan Crowder ,&nbsp;Sonia Roschnik ,&nbsp;Tim Rogmans ,&nbsp;Andrew N. Garman","doi":"10.1016/j.joclim.2025.100586","DOIUrl":"10.1016/j.joclim.2025.100586","url":null,"abstract":"<div><h3>Introduction</h3><div>With climate change increasingly recognized as a significant threat to human health, healthcare leaders are becoming crucial allies in pursuing net zero emissions. To meet the profession’s learning needs the IHF-Geneva Sustainability Centre co-developed a learning simulation for healthcare leaders, which is now in use by universities and practice settings across the world.</div></div><div><h3>Background/Objectives</h3><div>This evaluation was conducted to assess the impact of the learning simulation and to support continuous quality improvement.</div></div><div><h3>Methods</h3><div>Program participants were asked to complete exit surveys involving questions concerning reactions and learning outcomes, which created an archive of participant responses. Analyses involved aggregating archival data from practice settings at the training event level for comparison. Data from higher education settings were also analyzed separately from practice settings.</div></div><div><h3>Results</h3><div>A total of 278 surveys collected from across 17 training events provided usable data for this analysis. Results suggested that the simulation was consistently well received across a diversity of contexts and regions. The only group-level difference was in the debriefings, in which practice-based settings were significantly more satisfied than the university settings. In reviewing qualitative comments for improvement opportunities, primary themes related to wanting more time to play through the simulation, debrief the results, or both.</div></div><div><h3>Conclusions</h3><div>Results suggest that simulations can be an engaging and impactful means for exposing healthcare leadership to environmentally sustainable practice principles.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100586"},"PeriodicalIF":3.6,"publicationDate":"2025-10-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269884","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Smart greening initiatives for healthcare facilities: A caribbean case study on environmental sustainability and disaster resilience","authors":"Judith Harvey ,&nbsp;Dana van Alphen ,&nbsp;Shalini Jagnarine Azan ,&nbsp;Roger Camacho ,&nbsp;Clemens Buter ,&nbsp;Ciro Ugarte ,&nbsp;Lealou Reballos ,&nbsp;Alex Camacho-Vasconez ,&nbsp;Juan S. Izquierdo-Condoy ,&nbsp;Jorge Vasconez-Gonzalez ,&nbsp;Esteban Ortiz-Prado","doi":"10.1016/j.joclim.2025.100525","DOIUrl":"10.1016/j.joclim.2025.100525","url":null,"abstract":"<div><h3>Background</h3><div>The Smart Hospitals Program was implemented in seven Caribbean countries to enhance disaster resilience and environmental sustainability in small- to medium-sized healthcare facilities. The initiative focused on improving energy efficiency, water conservation, and overall environmental performance while ensuring uninterrupted healthcare service delivery in disaster-prone regions.</div></div><div><h3>Methods</h3><div>Facility assessments were conducted using the Green Checklist, a tool tailored for Caribbean healthcare facilities based on LEED standards. Pre- and post-retrofit evaluations targeted water and energy conservation, air quality, and waste management. Interventions included infrastructure upgrades—such as photovoltaic systems, energy-efficient equipment, and rainwater harvesting systems—and staff training on resource conservation.</div></div><div><h3>Results</h3><div>Energy consumption at the Vieux Fort Healthcare Facility decreased by 47.7 %, with a mean monthly reduction of -5773 kWh (95 % CI:6175 to -5371; <em>p</em> &lt; 0.0001; <em>t</em> = 31.61, df = 11). Comfort Bay showed a median reduction of 26.6 % (-1919 kWh; <em>p</em> = 0.0005; <em>W</em> = -78.00). Water consumption reductions included 58.5 % at Saltibus (-40,456 gallons per month; <em>p</em> = 0.0005; <em>W</em> = -78.00), 18.1 % at Vieux Fort (-6924 gallons per month; <em>p</em> = 0.0005; <em>W</em> = -78.00), and 7.2 % at Mongouge (-1269 gallons per month; <em>p</em> = 0.0005; <em>W</em> = -78.00). These reductions highlight significant improvements in resource efficiency and operational sustainability across facilities.</div></div><div><h3>Conclusions</h3><div>The Smart Hospitals Program achieved significant reductions in water and energy consumption, demonstrating the potential of targeted retrofitting interventions to enhance sustainability and resilience in healthcare facilities. While the results highlight the program's effectiveness, maintenance challenges and variability in usage patterns underscore the need for ongoing monitoring and tailored strategies to sustain these gains. This model provides valuable insights for similar initiatives in resource-constrained and disaster-prone regions.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100525"},"PeriodicalIF":3.6,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269346","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Measuring indigenous household resilience to global environmental changes: Psychometrics and face validity scale development","authors":"Shanondora Billiot ,&nbsp;Chao-Kai Huang ,&nbsp;Nidia Hernandez ,&nbsp;Jessica Elm ,&nbsp;Balakrishnan Balachandran ,&nbsp;Jasmine Fournier","doi":"10.1016/j.joclim.2025.100489","DOIUrl":"10.1016/j.joclim.2025.100489","url":null,"abstract":"<div><h3>Background</h3><div>This study developed the factor structure of an Indigenous Household Resilience Scale (IHRS) within a state-recognized tribal community facing extreme environmental threats. The IHRS assesses Indigenous people's subjective appraisal of resilience at the household level, which is crucial as decisions such as relocation due to repeated disasters and chronic land loss occur at this level rather than at individual or community levels.</div></div><div><h3>Methods</h3><div>This study employed a Tribally led participatory sequential mixed-methods approach. We collected survey data from tribal citizens (<em>N</em> = 119) along the Gulf Coast. Initial scale development involved a literature review, face validity, and community engagement, resulting in 17 indicators across three constructs. Researchers followed collaborative protocols and received appropriate institutional approvals.</div></div><div><h3>Results</h3><div>Guided by a series of Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), item reduction and restructuring led to an 11-item scale into three factors: Cultural Continuity, Relational Place-based Worldview, and Community Engagement. The adjusted CFA model demonstrated good fit indices (a non-significant χ² test; RMSEA = 0.05; CFI = 0.94; SRMR = 0.06), with moderate to strong inter-factor correlations (ranging from 0.62 to 0.71), supporting construct distinctiveness. The overall scale showed acceptable internal consistency (ω = 0.80).</div></div><div><h3>Implications</h3><div>These findings provide preliminary evidence for measuring household resilience within an Indigenous community and contribute to Indigenous scholarship. This scale is particularly relevant for social and behavioral health practitioners and researchers working with Indigenous peoples who face environmental challenges, as it enhances culturally sensitive coping strategies and identifies factors promoting resilience at the household level.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100489"},"PeriodicalIF":3.6,"publicationDate":"2025-10-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269349","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing the impacts, risks, and vulnerabilities of extreme heat in learning environments of Puerto Rico in 2023","authors":"Pablo A. Méndez-Lázaro ,&nbsp;Laura T. Cabrera-Rivera ,&nbsp;Digna Rueda-Roa ,&nbsp;Frank E. Muller-Karger ,&nbsp;Manuel Heredia Morales ,&nbsp;Mónica V. Sánchez-Sepúlveda ,&nbsp;Ernesto Rodríguez ,&nbsp;Odalys Martínez ,&nbsp;Ernesto Morales ,&nbsp;Patricia Chardón-Maldonado ,&nbsp;Wanda I. Crespo-Acevedo ,&nbsp;Sarah Molinari ,&nbsp;Masoud Ghandehari ,&nbsp;Jorge E. Gonzalez-Cruz","doi":"10.1016/j.joclim.2025.100581","DOIUrl":"10.1016/j.joclim.2025.100581","url":null,"abstract":"<div><h3>Introduction</h3><div>Puerto Rico is experiencing anomalous heat episodes. The year 2023 was marked by unprecedented extreme heat events with negative impacts in Puerto Rico’s learning environments. This study aimed to understand the context, barriers, knowledge, risks, vulnerabilities, perceptions, employees’ profiles, attitudes, and symptoms related to extreme heat in learning environments.</div></div><div><h3>Materials and Methods</h3><div>We employed a mixed-methods approach combining: (1) Earth Observation Data and geospatial analysis, (2) an online survey for teachers, administrative staff, and other school employees from diverse educational settings and levels and (3) a series of participatory activities with stakeholders, practitioners and decision makers that led to knowledge co-production and adaptation strategies.</div></div><div><h3>Results</h3><div>36 % of schools were exposed to land surface temperatures exceeding 41.4 °C. The southern region showed the highest proportion (50.7 %) of schools in high or critical risk areas for heat and had insufficient A/C infrastructure. Survey results indicated significant disparities in A/C conditioning availability between private (17.28 %), public schools (2.93 %) and educational regions. Students and school employees in non-air-conditioned environments showed significantly higher odds of experiencing heat-related symptoms. Fatigue (OR=2.53), irrationality (OR=2.40), lack of attention (OR=2.14), dizziness (OR=2.62, 95 % CI: 1.91–3.65) were some of the most reported symptoms.</div></div><div><h3>Conclusion</h3><div>This assessment of extreme heat impacts in tropical learning environments reveals significant disparities in heat exposure and adaptation capacity across Puerto Rico's educational system. The findings highlight the urgent need for targeted interventions. This research contributes to the improvement of learning environments and serves as a model for adaptation efforts in educational settings in tropical islands.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100581"},"PeriodicalIF":3.6,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269348","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Flood risk prediction and modeling in Bauchi: Leveraging machine learning models and explainable AI for urban resilience","authors":"Kamil Muhammad Kafi ,&nbsp;Zakiah Ponrahono ,&nbsp;Zulfa Hanan Ash’aari ,&nbsp;Aliyu Salisu Barau","doi":"10.1016/j.joclim.2025.100490","DOIUrl":"10.1016/j.joclim.2025.100490","url":null,"abstract":"<div><h3>Introduction</h3><div>Floods are amongst the most destructive weather and climate-related disasters, causing significant loss of life and property globally. Accurate flood risk prediction is crucial for improving disaster resilience and urban planning.</div></div><div><h3>Methods</h3><div>This study employed artificial intelligence (AI) techniques, specifically Random Forest (RF), XGBoost (XGB), and Support Vector Machine (SVM) models, to predict and model flood risk in Bauchi, Nigeria. Additionally, Explainable AI analysis was utilized to interpret the model outcomes.</div></div><div><h3>Results</h3><div>The study revealed that high-risk areas have a history of frequent and severe flooding based on RF and XGBoost predictions. Settlement formality, elevation, population, and rainfall were the most influential factors in exacerbating flood risk. The RF model outperformed both XGBoost and SVM, with a precision of 0.857 and ROC-AUC of 0.93, while SVM performed the least, with a precision of 0.757 and ROC-AUC of 0.84.</div></div><div><h3>Conclusion</h3><div>The findings provide valuable insights for climate action, particularly in flood risk and exposure, and emphasize the role of urban planning and effective disaster risk reduction strategies in enhancing urban resilience.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100490"},"PeriodicalIF":3.6,"publicationDate":"2025-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)","authors":"Wil Laura ,&nbsp;Patricia Rivera ,&nbsp;Cristina Davila ,&nbsp;Pierre Velasquez ,&nbsp;Susan Mateo ,&nbsp;Carmen Yon ,&nbsp;Betsabet Valderrama ,&nbsp;Tania Ita Vargas","doi":"10.1016/j.joclim.2025.100546","DOIUrl":"10.1016/j.joclim.2025.100546","url":null,"abstract":"<div><h3>Introduction</h3><div>Dengue fever has experienced a global rise in incidence and distribution, largely influenced by climate variability. Nonetheless, the specific climatic thresholds that trigger elevated dengue incidence rates, and the time lag between weather conditions and the case surges remain uncertain.</div></div><div><h3>Methods</h3><div>Average weekly climate variables along with weekly dengue incidence rates from 2001 and 2022 were analyzed in districts grouped by its climate zone. A cross-correlation technique was used to determine the time lag between climatic variables and dengue incidence, while a fine-tuned regression tree model was utilized to identify climatic thresholds linked to the incidence of dengue surges.</div></div><div><h3>Results</h3><div>Our findings indicate that specific combinations of climatic thresholds within each climate zone are associated with increased dengue incidence rate over a 20-week window, with air temperature having a frequent role. The North Coast had the highest average dengue incidence, with rates surging sevenfold when climatic thresholds were met (56 cases per 100,000 inhabitants). The Central Coast and North-High Rainforest zones experienced the most significant increases, with incidence rates rising 53-fold from baseline levels (0.13 cases and 2.4 cases per 100,000, respectively).</div></div><div><h3>Conclusions</h3><div>This study identified distinct climatic thresholds that were met within a 20-week window preceding elevated dengue incidence rates in the six climate zones with the highest dengue prevalence in Peru. These insights enable dengue incidence rates forecasting weeks in advance using climatic data, offering a valuable tool for dengue mitigation and early intervention.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100546"},"PeriodicalIF":3.6,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Heatwaves mortality according to specific causes in Argentinian cities (2005-2019)","authors":"Francisco Chesini ,&nbsp;Matilde Rusticucci","doi":"10.1016/j.joclim.2025.100549","DOIUrl":"10.1016/j.joclim.2025.100549","url":null,"abstract":"<div><h3>Introduction</h3><div>Heatwaves pose a significant natural threat to human health, with varying impacts on morbidity and mortality.</div></div><div><h3>Materials and methods</h3><div>This study aimed to characterize the risk of mortality associated with heatwaves (HWs), considering specific causes of death in 21 Argentine cities between 2005 and 2019. An ecological observational epidemiological study was conducted using a time series statistical approach, with generalized additive models. Data were sourced from the Ministry of Health and the National Meteorological Service (NMS). Deaths due to cardiovascular (ICD10: I00-I99), respiratory (J00-J99), and renal (N00-N99) causes during HWs and their temporal lags were analyzed.</div></div><div><h3>Results</h3><div>In 15 of the 21 cities, a significant increase in mortality was observed for the specific causes analyzed (cardiovascular: 13; respiratory: 10; and renal: 7) during HWs and their lags. Mortality increases were recorded in all regions, including Patagonia, where they were observed in two cities.</div></div><div><h3>Conclusions</h3><div>The findings of this study will contribute to the development of more effective health promotion and protection policies.</div></div>","PeriodicalId":75054,"journal":{"name":"The journal of climate change and health","volume":"26 ","pages":"Article 100549"},"PeriodicalIF":3.6,"publicationDate":"2025-10-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145269556","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}