Environmental research, health : ERH最新文献

{"title":"Emergency department visits in California associated with wildfire PM_2.5: differing risk across individuals and communities.","authors":"Jennifer D Stowell, Ian Sue Wing, Yasmin Romitti, Patrick L Kinney, Gregory A Wellenius","doi":"10.1088/2752-5309/ad976d","DOIUrl":"10.1088/2752-5309/ad976d","url":null,"abstract":"<p><p>The threats to human health from wildfires and wildfire smoke (WFS) in the United States (US) are increasing due to continued climate change. A growing body of literature has documented important adverse health effects of WFS exposure, but there is insufficient evidence regarding how risk related to WFS exposure varies across individual or community level characteristics. To address this evidence gap, we utilized a large nationwide database of healthcare utilization claims for emergency department (ED) visits in California across multiple wildfire seasons (May through November, 2012-2019) and quantified the health impacts of fine particulate matter <2.5 <i>μ</i>m (PM_2.5) air pollution attributable to WFS, overall and among subgroups of the population. We aggregated daily counts of ED visits to the level of the Zip Code Tabulation Area (ZCTA) and used a time-stratified case-crossover design and distributed lag non-linear models to estimate the association between WFS and relative risk of ED visits. We further assessed how the association with WFS varied across subgroups defined by age, race, social vulnerability, and residential air conditioning (AC) prevalence. Over a 7 day period, PM_2.5 from WFS was associated with elevated risk of ED visits for all causes (1.04% (0.32%, 1.71%)), non-accidental causes (2.93% (2.16%, 3.70%)), and respiratory disease (15.17% (12.86%, 17.52%)), but not with ED visits for cardiovascular diseases (1.06% (-1.88%, 4.08%)). Analysis across subgroups revealed potential differences in susceptibility by age, race, and AC prevalence, but not across subgroups defined by ZCTA-level Social Vulnerability Index scores. These results suggest that PM_2.5 from WFS is associated with higher rates of all cause, non-accidental, and respiratory ED visits with important heterogeneity across certain subgroups. Notably, lower availability of residential AC was associated with higher health risks related to wildfire activity.</p>","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"3 1","pages":"015002"},"PeriodicalIF":0.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632356/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142820207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Gestational and postnatal exposure to wildfire smoke and prolonged use of respiratory medications in early life.","authors":"Hanna Jardel, Kristen M Rappazzo, Thomas J Luben, Corinna Keeler, Brooke S Staley, Cavin K Ward-Caviness, Cassandra R O'Lenick, Meghan E Rebuli, Yuzhi Xi, Michelle Hernandez, Ann Chelminski, Ilona Jaspers, Ana G Rappold, Radhika Dhingra","doi":"10.1088/2752-5309/ad748c","DOIUrl":"10.1088/2752-5309/ad748c","url":null,"abstract":"<p><p>As wildfire frequency and severity increases, smoke exposures will cause increasingly more adverse respiratory effects. While acute respiratory effects of smoke exposure have been documented in children, longer term sequelae are largely unstudied. Our objective here was to examine the association between gestational and postnatal exposure to wildfire smoke and prolonged use of prescription medication for respiratory conditions in early childhood. Using Merative MarketScan claims data, we created cohorts of term children born in western states between 1 January 2010-31 December 2014 followed for at least three years. Using NOAA Hazard Mapping System data, we determined the average number of days a week that >25% of the population in a metropolitan statistical area (MSA) was covered by smoke within each exposure period. The exposure periods were defined by trimester and two 12 week postnatal periods. Medication use was based on respiratory indication (upper respiratory, lower respiratory, or any respiratory condition) and categorized into outcomes of prolonged use (⩾30 d use) (PU) and multiple prolonged uses (at least two prolonged uses) (MPU). We used logistic regression models with random intercepts for MSAs adjusted for child sex, birth season, and birth year. Associations differed by exposure period and respiratory outcome, with elevated risk of MPU of lower respiratory medications following exposure in the third trimester and the first 12 postnatal weeks (RR 1.15, 95% CI 0.98, 1.35; RR 1.21, 95% CI 1.05, 1.40, respectively). Exposure in the third trimester was associated with an increase in MPU of any respiratory among males infants only (male RR 1.22, 95% CI 1.00, 1.50; female RR 0.93, 95% CI 0.66, 1.31). Through novel use of prescription claims data, this work identifies critical developmental windows in the 3rd trimester and first 12 postnatal weeks during which environmental inhalational disaster events may impact longer-term respiratory health.</p>","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"2 4","pages":"045004"},"PeriodicalIF":0.0,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11389793/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142302465","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of ambient air pollution and pesticide mixtures on respiratory inflammatory markers in agricultural communities.","authors":"Matthew L Hughes, Grace Kuiper, Lauren Hoskovec, Sherry WeMott, Bonnie N Young, Wande Benka-Coker, Casey Quinn, Grant Erlandson, Nayamin Martinez, Jesus Mendoza, Greg Dooley, Sheryl Magzamen","doi":"10.1088/2752-5309/ad52ba","DOIUrl":"10.1088/2752-5309/ad52ba","url":null,"abstract":"<p><p>Air pollution exposure is associated with adverse respiratory health outcomes. Evidence from occupational and community-based studies also suggests agricultural pesticides have negative health impacts on respiratory health. Although populations are exposed to multiple inhalation hazards simultaneously, multidomain mixtures (e.g. environmental and chemical pollutants of different classes) are rarely studied. We investigated the association of ambient air pollution-pesticide exposure mixtures with urinary leukotriene E4 (LTE4), a respiratory inflammation biomarker, for 75 participants in four Central California communities over two seasons. Exposures included three criteria air pollutants estimated via the Community Multiscale Air Quality model (fine particulate matter, ozone, and nitrogen dioxide) and urinary metabolites of organophosphate (OP) pesticides (total dialkyl phosphates (DAPs), total diethyl phosphates (DE), and total dimethyl phosphates (DM)). We implemented multiple linear regression models to examine associations in single pollutant models adjusted for age, sex, asthma status, occupational status, household member occupational status, temperature, and relative humidity, and evaluated whether associations changed seasonally. We then implemented Bayesian kernel machine regression (BKMR) to analyse these criteria air pollutants, DE, and DM as a mixture. Our multiple linear regression models indicated an interquartile range (IQR) increase in total DAPs was associated with an increase in urinary LTE4 in winter (<i>β</i>: 0.04, 95% CI: [0.01, 0.07]). Similarly, an IQR increase in total DM was associated with an increase in urinary LTE4 in winter (<i>β</i>:0.03, 95% CI: [0.004, 0.06]). Confidence intervals for all criteria air pollutant effect estimates included the null value. BKMR analysis revealed potential non-linear interactions between exposures in our air pollution-pesticide mixture, but all confidence intervals contained the null value. Our analysis demonstrated a positive association between OP pesticide metabolites and urinary LTE4 in a low asthma prevalence population and adds to the limited research on the joint effects of ambient air pollution and pesticides mixtures on respiratory health.</p>","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"2 3","pages":"035007"},"PeriodicalIF":0.0,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11220826/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141499825","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Critical windows of greenness exposure during preconception and gestational periods in association with birthweight outcomes","authors":"Zhenchun Yang, Jiawen Liao, Yi Zhang, Yan Lin, Yihui Ge, Wu Chen, Chenyu Qiu, Kiros Berhane, Zhipeng Bai, Bin Han, Jia Xu, Yong Hui Jiang, Frank D Gilliland, Weili Yan, Zhanghua Chen, Guoying Huang, Junfeng Zhang","doi":"10.1088/2752-5309/ad0aa6","DOIUrl":"https://doi.org/10.1088/2752-5309/ad0aa6","url":null,"abstract":"Abstract BACKGROUND AND AIM: Few studies have examined the association between greenness exposure and birth outcomes. This study aims to identify critical exposure time windows during preconception and pregnancy for the association between greenness exposure and birth weight.&amp;#xD;METHOD: A cohort of 13,890 pregnant women and newborns in Shanghai, China from 2016-2019 were included in the study. We assessed greenness exposure using Normalized Difference Vegetation Index (NDVI) during the preconception and gestational periods, and evaluated the association with term birthweight, birthweight z-score, small-for-gestational age (SGA), and large-for-gestational age (LGA) using linear and logistic regressions adjusting for key maternal and newborn covariates. Ambient temperature, relative humidity, ambient levels of fine particles (PM2.5) and nitrogen dioxide (NO2) assessed during the same period were adjusted for as sensitivity analyses. Furthermore, we explored the potential different effects by urbanicity and park accessibility through stratified analysis.&amp;#xD;RESULTS: We found that higher greenness exposure at the second trimester of pregnancy and averaged exposure during the entire pregnancy were associated with higher birthweight and birthweight Z-score. Specifically, a 0.1 unit increase in second trimester averaged NDVI value was associated with an increase in birthweight of 10.2 g (95% CI: 1.8 g to 18.5 g) and in birthweight Z-score of 0.024 (0.003 to 0.045). A 0.1 unit increase in an averaged NDVI during the entire pregnancy was associated with 10.1 g (95% CI: 1.0 g to 19.2 g) increase in birthweight and 0.025 (0.001 to 0.048) increase in birthweight Z-score. Moreover, the associations were larger in effect size among urban residents than suburban residents and among residents without park accessibility within 500 m compared to those with park accessibility within 500 m.&amp;#xD;CONCLUSIONS: Our findings suggest that increased greenness exposure, particularly during the second trimester, may be beneficial to birth weight in a metropolitan area.&amp;#xD;","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"12 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135341173","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":"The synergistic health impacts of exposure to multiple stressors in Tulare County, California","authors":"Michael Gee, Thomas E McKone","doi":"10.1088/2752-5309/ad089b","DOIUrl":"https://doi.org/10.1088/2752-5309/ad089b","url":null,"abstract":"Abstract Background&amp;#xD;Tulare County is located in the Central Valley region of California. Its population is exposed to stressors that include high levels of air, water, and soil pollution, socioeconomic strain, and poor access to walkable areas and healthy foods. As a result, this population suffers from a high disease burden compared to other California counties.&amp;#xD;Objective&amp;#xD;We hypothesize that environmental and socioeconomic stressors interact in complex ways to raise the burden of disease in the Tulare population beyond additive impacts.&amp;#xD;Method&amp;#xD;We used CalEnviroScreen to select Tulare County as the subject of the study and characterized the geographical interaction of stressors. The CalEnviroScreen indicators provided the basis for population-weighted average calculations to determine the most critical environmental and socioeconomic stressors in Tulare County. We also analyzed and interpreted walkability and dietary access through open-source data. In addition, we compared disease-based mortality in Tulare County to California state averages.&amp;#xD;Results&amp;#xD;Our evaluation reveals that the population living within the census tracts of Tulare County is exposed to environmental stressors at significantly higher levels relative to many other Californian census tracts, specifically for PM2.5, ozone, and drinking water quality. Relatively high exposures to socioeconomic stressors can compound resulting health impacts. We use dose-response curves and stressor mapping to characterize how multiple stressors may augment a population's vulnerability and effective doses from exposure to multiple stressors.&amp;#xD;Significance&amp;#xD;Previous health-impact studies have linked individual environmental stressors to their respective measures of disease. However, many communities continue to be exposed daily to numerous stressors that individually are within regulatory limits but could significantly magnify risk due to the synergistic effects. Dose-response curves tailored to population vulnerability provide a basis for quantifying the synergistic risks of multiple stressors on specific measures of disease.&amp;#xD;","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135222314","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":"Geographical quantification of the seasonality of transmission of COVID19 in human population as a function of the variability of temperatures","authors":"Bailey Magers, Moiz Usmani, Chang-Yu Wu, Antarpreet Jutla","doi":"10.1088/2752-5309/ad0320","DOIUrl":"https://doi.org/10.1088/2752-5309/ad0320","url":null,"abstract":"Abstract Abstract&amp;#xD;Background&amp;#xD;The occurrence of cases of COVID-19 suggests that it will likely become seasonally endemic in human populations. &amp;#xD;Objectives&amp;#xD;We seek to provide a quantification of the seasonality of the occurrence and severity of COVID-19 cases in human populations.&amp;#xD;Methods&amp;#xD;Using global data, we show that the spatiotemporal distribution of COVID-19 cases is a function of distinct seasons and climates. We investigated this at the county and the country scale using a comparison of seasonal means, correlation analyses using ambient air temperatures and dew point temperatures, and multiple linear regression techniques. &amp;#xD;Results&amp;#xD;We found that most locations had the highest incidence of COVID-19 during winter compared to other seasons. Regions closer to the equator had a higher incidence of COVID-19 during the summer than regions further from the equator. Regions close to the equator, where mean annual temperatures have less variance compared to those further from the equator, had smaller differences between seasonal COVID-19 incidence. Correlation and regression analyses showed that ambient air and dew point temperatures were significantly associated with COVID-19 incidence. &amp;#xD;Discussion&amp;#xD;Our results suggest that temperature and the environment are influential factors to understand the transmission of COVID-19 within the human population. This research provides empirical evidence that temperature changes are a strong indicator of seasonal COVID-19 outbreaks, and as such it will aid in planning for future outbreaks and for mitigating their impacts.&amp;#xD;","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135854230","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":"The big lie: discursive risk analysis and wildland firefighter safety in the Western United States","authors":"Trevor Durbin, Casper G Bendixsen, Amber A Neely, Sarah Strauss","doi":"10.1088/2752-5309/ad00d5","DOIUrl":"https://doi.org/10.1088/2752-5309/ad00d5","url":null,"abstract":"Abstract While increased length and intensity of wildfire seasons have led to more concern about wildland firefighter safety, we believe ethnography has been underutilized within wildfire health and safety. In response, we begin building a shared idiom for ethnographic engagement with wildland firefighter safety and similar occupational domains. We draw on ethnographic approaches to late industrialism to develop a method called Discursive Risk Analysis (DRA) as an initial stage in a broader collaborative and generative research practice. By collaborative, we mean cooperation among stakeholder, disciplinary, professional, and other groups. We use DRA to analyze ethnographic data and documentary sources relevant to discussions of “the Big Lie” among firefighters and agency leadership. The Big Lie is a term that both firefighters and agency leaders used to suggest that wildland firefighters are being harmed by agency discourse that says firefighters will be kept safe despite the unavoidable danger of the job. It is important to the Big Lie discussion that this harm is conceptualized by firefighters as discursively driven, necessitating a method attentive to discourse. Discursive Risk Analysis of the Big Lie discussion suggests two discursive gaps that may result in two discursive risks. The first gap, found in agency discourse, is that “everyone knows the job is dangerous” but “zero fatalities is a reasonable goal.” This gap is associated with a discursive risk, a possible decrease in trust among wildland firefighters in agency leadership. The second gap, observed in firefighter discourse, is that “the job is dangerous” but “no one will get hurt today.” This gap is associated with another discursive risk, the possibility of decreased situational awareness. Finally, we clarify each of these gaps and risks through two anthropological concepts (the Sapir-Whorf hypothesis and the public secret) that can bring new perspectives to discussions about institutional cultures of health and safety.","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-10-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135345669","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":"Air quality and health effects of a transition to ammonia-fueled shipping in Singapore","authors":"Sagar Rathod, Morgan R Edwards, Chaitri Roy, Laura Warnecke, Peter Rafaj, Gregor Kiesewetter, Zbigniew Klimont","doi":"10.1088/2752-5309/acfb2e","DOIUrl":"https://doi.org/10.1088/2752-5309/acfb2e","url":null,"abstract":"Abstract Ammonia has been proposed to replace heavy fuel oil in the shipping industry by 2050. When produced with low-carbon electricity, ammonia can reduce greenhouse gas emissions. However, ammonia emissions also contribute to local air pollution via the formation of secondary particulate matter. We estimate the potential ammonia emissions from storage and bunkering operations for shipping in Singapore, a port that accounts for 20% of global bunker fuel sales, and their impacts on air quality and health. Fuel storage and bunkering can increase total gaseous ammonia emissions in Singapore by up to a factor of four and contribute to a 25-50% increase in ambient PM2.5 concentration compared to a baseline scenario with heavy fuel oil, leading to an estimated 210-460 premature mortalities in Singapore (30-70% higher than the baseline). Proper abatement on storage and bunkering can reduce these emissions and even improve ambient PM2.5 concentrations compared to the baseline. Overall, while an energy transition from heavy fuel oil to ammonia in the shipping industry could reduce global greenhouse gas and air pollutant burdens, local policies will be important to avoid negative impacts on the communities living near its supply chain.","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"48 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135059126","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":"Human milk EV-miRNAs: a novel biomarker for air pollution exposure during pregnancy.","authors":"Elizabeth A Holzhausen,&nbsp;Allison Kupsco,&nbsp;Bridget N Chalifour,&nbsp;William B Patterson,&nbsp;Kelsey A Schmidt,&nbsp;Pari Mokhtari,&nbsp;Fredrick Lurmann,&nbsp;Andrea A Baccarelli,&nbsp;Michael I Goran,&nbsp;Tanya L Alderete","doi":"10.1088/2752-5309/ace075","DOIUrl":"10.1088/2752-5309/ace075","url":null,"abstract":"<p><p>Exposure to ambient and near-roadway air pollution during pregnancy has been linked with several adverse health outcomes for pregnant women and their babies. Emerging research indicates that microRNA (miRNA) expression can be altered by exposure to air pollutants in a variety of tissues. Additionally, miRNAs from breast tissue and circulating miRNAs have previously been proposed as a biomarker for breast cancer diagnosis and prognosis. Therefore, this study sought to evaluate the associations between pregnancy exposures to ambient (PM₁₀, PM_2.5, NO₂, O₃) and near-roadway air pollution (total NO<i>_x</i>, freeway NO<i>_x</i>, non-freeway NO<i>_x</i>) with breast milk extracellular vesicle miRNA (EV-miRNA), measured at 1-month postpartum, in a cohort of 108 Latina women living in Southern California. We found that PM₁₀ exposure during pregnancy was positively associated with hsa-miR-200c-3p, hsa-miR-200b-3p, and hsa-let-7c-5p, and was negatively associated with hsa-miR-378d. We also found that pregnancy PM_2.5 exposure was positively associated with hsa-miR-200c-3p and hsa-miR-200b-3p. First and second trimester exposure to PM₁₀ and PM_2.5 was associated with several EV-miRNAs with putative messenger RNA targets related to cancer. This study provides preliminary evidence that air pollution exposure during pregnancy is associated with human milk EV-miRNA expression.</p>","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"1 3","pages":"035002"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10486183/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"10276006","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Inclusion of child-relevant data in the development and validation of heat vulnerability indices: a commentary.","authors":"Kate R Weinberger,&nbsp;Blean Girma,&nbsp;Jane E Clougherty,&nbsp;Perry E Sheffield","doi":"10.1088/2752-5309/acdd8a","DOIUrl":"https://doi.org/10.1088/2752-5309/acdd8a","url":null,"abstract":"Kate RWeinberger, Blean Girma, Jane E Clougherty and Perry E Sheffield2,∗ 1 School of Population and Public Health, University of British Columbia, Vancouver, BC V6K0G8, Canada 2 Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, 1 Gustave L. Levy Place, New York, NY 10029, United States of America 3 Department of Environmental and Occupational Health, Dornsife School of Public Health, Drexel University, 3215 Market Street, Philadelphia, PA 19104, United States of America ∗ Author to whom any correspondence should be addressed.","PeriodicalId":72938,"journal":{"name":"Environmental research, health : ERH","volume":"1 3","pages":"033001"},"PeriodicalIF":0.0,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10282982/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"9710393","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}