Geohealth最新文献

{"title":"Spatial Machine Learning for Exploring the Variability in Low Height-For-Age From Socioeconomic, Agroecological, and Climate Features in the Northern Province of Rwanda","authors":"Gilbert Nduwayezu,&nbsp;Clarisse Kagoyire,&nbsp;Pengxiang Zhao,&nbsp;Lina Eklund,&nbsp;Petter Pilesjo,&nbsp;Jean Pierre Bizimana,&nbsp;Ali Mansourian","doi":"10.1029/2024GH001027","DOIUrl":"10.1029/2024GH001027","url":null,"abstract":"<p>Childhood stunting is a serious public health concern in Rwanda. Although stunting causes have been documented, we still lack a more in-depth understanding of their local factors at a more detailed geographic level. We cross-sectionally examined 615 height-for-age prevalence observations in the Northern Province of Rwanda, linked with their related covariates, to explore the spatial heterogeneity in the low height-for-age prevalence by fitting linear and non-linear spatial regression models and explainable machine learning. Specifically, complemented with generalized additive models, we fitted the ordinary least squares (OLS), a standard geographically weighted regression (GWR), and multiscale geographically weighted regression (MGWR) models to characterize the imbalanced distribution of stunting risk factors and uncover the nonlinear effect of significant predictors, explaining the height-for-age variations. The results reveal that 27% of the children measured were stunted, and that likelihood was found to be higher in the districts of Musanze, Gakenke, and Gicumbi. The local MGWR model outperformed the ordinary GWR and OLS, with coefficients of determination of 0.89, 0.84, and 0.25, respectively. At specific ranges, the study shows that height-for-age decreases with an increase in the number of days a child was left alone, elevation, and rainfall. In contrast, land surface temperature is positively associated with height-for-age. However, variables like the normalized difference vegetation index, slope, soil fertility, and urbanicity exhibited bell-shaped and U-shaped non-linear associations with the height-for-age prevalence. Identifying areas with the highest rates of stunting will help determine the most effective measures for reducing the burden of undernutrition.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 9","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11372466/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134253","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Associations Between Anthropogenic Factors, Meteorological Factors, and Cause-Specific Emergency Department Admissions","authors":"Pranav Tewari,&nbsp;Baihui Xu,&nbsp;Ma Pei,&nbsp;Kelvin Bryan Tan,&nbsp;John Abisheganaden,&nbsp;Steve Hung-Lam Yim,&nbsp;Borame Lee Dickens,&nbsp;Jue Tao Lim","doi":"10.1029/2024GH001061","DOIUrl":"10.1029/2024GH001061","url":null,"abstract":"<p>Unpredictable emergency department (ED) admissions challenge healthcare systems, causing resource allocation inefficiencies. This study analyses associations between air pollutants, meteorological factors, and 2,655,861 cause-specific ED admissions from 2014 to 2018 across 12 categories. Generalized additive models were used to assess non-linear associations for each exposure, yielding Incidence Rate Ratios (IRR), while the population attributable fraction (PAF) calculated each exposure's contribution to cause-specific ED admissions. IRRs revealed increased risks of ED admissions for respiratory infections (IRR: 1.06, 95% CI: 1.01–1.11) and infectious and parasitic diseases (IRR: 1.09, 95% CI: 1.03–1.15) during increased rainfall (13.21–16.97 mm). Wind speeds &gt;12.73 km/hr corresponded to increased risks of ED admissions for respiratory infections (IRR: 1.12, 95% CI: 1.03–1.21) and oral diseases (IRR: 1.58, 95% CI: 1.31–1.91). Higher concentrations of air pollutants were associated with elevated risks of cardiovascular disease (IRR: 1.16, 95% CI: 1.05–1.27 for PM₁₀) and respiratory infection-related ED admissions (IRR: 2.78, 95% CI: 1.69–4.56 for CO). Wind speeds &gt;12.5 km/hr were predicted to contribute toward 10% of respiratory infection ED admissions, while mean temperatures &gt;28°C corresponded to increases in the PAF up to 5% for genitourinary disorders and digestive diseases. PM₁₀ concentrations &gt;60 μg/m³ were highly attributable toward cardiovascular disease (PAF: 10%), digestive disease (PAF: 15%) and musculoskeletal disease (PAF: 10%) ED admissions. CO concentrations &gt;0.6 ppm were highly attributable to respiratory infections (PAF: 20%) and diabetes mellitus (PAF: 20%) ED admissions. This study underscores protective effects of meteorological variables and deleterious impacts of air pollutant exposures across the ED admission categories considered.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 9","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11375029/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142141495","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Synergy of Urban Heat, Pollution, and Social Vulnerability in One of America's Most Rapidly Growing Cities: Houston, We Have a Problem","authors":"Andrew Blackford,&nbsp;Trent Cowan,&nbsp;Udaysankar Nair,&nbsp;Christopher Phillips,&nbsp;Aaron Kaulfus,&nbsp;Brian Freitag","doi":"10.1029/2024GH001079","DOIUrl":"10.1029/2024GH001079","url":null,"abstract":"<p>During the first two decades of the twenty-first century, we analyze the expansion of urban land cover, urban heat island (UHI), and urban pollution island (UPI) in the Houston Metropolitan Area (HMA) using land cover classifications derived from Landsat and land/aerosol products from NASA’s Moderate Resolution Imaging Spectroradiometer. Our approach involves both direct utilization and fusion with in situ observations for a comprehensive characterization. We also examined how social vulnerability within the HMA changed during the study period and whether the synergy of UHI, UPI, and social vulnerability enhances environmental inequalities. We found that urban land cover within the HMA increased by 1,345.09 km² and is accompanied by a 171.92 (73.93) % expansion of the daytime (nighttime) UHI. While the UPI experienced an overall reduction in particulate pollution, the magnitude of change is smaller compared to the surroundings. Further, the UPI showed localized enhancement in particulate pollution caused by increases in vehicular traffic. Our analysis found that the social vulnerability of the HMA urban regions increased during the study period. Overall, we found that the urban growth during the first two decades of the twenty-first century resulted in a synergy of UHI, UPI, and social vulnerability, causing an increase in environmental inequalities within the HMA.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 9","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-09-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11372823/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142134254","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geographic Variations in Urban-Rural Particulate Matter (PM2.5) Concentrations in the United States, 2010–2019","authors":"Daniel J. Kilpatrick,&nbsp;Peiyin Hung,&nbsp;Elizabeth Crouch,&nbsp;Stella Self,&nbsp;Jeremy Cothran,&nbsp;Dwayne E. Porter,&nbsp;Jan M. Eberth","doi":"10.1029/2023GH000920","DOIUrl":"https://doi.org/10.1029/2023GH000920","url":null,"abstract":"<p>Fine particulate matter 2.5 (PM_2.5) is a widely studied pollutant with substantial health impacts, yet little is known about the urban-rural differences across the United States. Trends of PM_2.5 in urban and rural census tracts between 2010 and 2019 were assessed alongside sociodemographic characteristics including race/ethnicity, poverty, and age. For 2010, we identified 13,474 rural tracts and 59,065 urban tracts. In 2019, 13,462 were rural and 59,055 urban. Urban tracts had significantly higher PM_2.5 concentrations than rural tracts during this period. Levels of PM_2.5 were lower in rural tracts compared to urban and fell more rapidly in rural than urban. Rural tract annual means for 2010 and 2019 were 8.51 [2.24] μg/m³ and 6.41 [1.29] μg/m³, respectively. Urban tract annual means for 2010 and 2019 were 9.56 [2.04] μg/m³ and 7.51 [1.40] μg/m³, respectively. Rural and urban majority Black communities had significantly higher PM_2.5 pollution levels (10.19 [1.64] μg/m³ and 9.79 [1.10] μg/m³ respectively), in 2010. In 2019, they were: 7.75 [1.1] μg/m³ and 7.09 [0.78] μg/m³, respectively. Majority Hispanic communities had higher PM_2.5 levels and were the highest urban concentration among all races/ethnicities (8.01 [1.73] μg/m³), however they were not the highest rural concentration among all races/ethnicities (6.22 [1.60] μg/m³) in 2019. Associations with higher levels of PM_2.5 were found with communities in the poorest quartile and with higher proportions of residents age&lt;15 years old. These findings suggest greater protections for those disproportionately exposed to PM_2.5 are needed, such as, increasing the availability of low-cost air quality monitors.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 9","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023GH000920","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142130301","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Assessing Immediate and Lasting Impacts of COVID-19-Induced Isolation on Green Space Usage Patterns","authors":"Fengdi Ma","doi":"10.1029/2024GH001062","DOIUrl":"10.1029/2024GH001062","url":null,"abstract":"<p>The COVID-19 pandemic has profoundly influenced urban lifestyles, particularly the utilization of green spaces. While existing studies have primarily focused on the immediate effects of COVID-19-induced isolation, less attention has been given to the enduring impacts on green space usage patterns. This study addresses this gap by conducting three comprehensive surveys in Dezhou, China—before, during, and after the first wave of social isolation (December 2019, March 2020, December 2020). These surveys assessed socioeconomic conditions, commuting habits, green space usage habits, and landscape preferences, specifically focusing on usage frequency, duration of stays, and activities undertaken. Using Mann-Whitney <i>U</i> tests and Spearman's rho correlations, we identified significant long-term changes, including an increase in the frequency of visits by previously infrequent users, a reduction in visit durations, and a rise in high-intensity activities. These trends persisted 9 months post-isolation, highlighting the pandemic's lasting impact on green space usage and its critical role in enhancing public health and pandemic preparedness through thoughtful urban environmental design. This study not only sheds light on behavioral adaptations during a public health crisis but also offers evidence-based strategies for urban planning to bolster societal resilience in the face of future pandemics.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 8","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11340692/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037398","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association Between Prenatal Exposure to Per- and Poly-Fluoroalkyl Substances From Electronic Waste Disassembly Areas and Steroid Hormones in Human Milk Samples","authors":"Qiyao Li,&nbsp;Yan Zhang,&nbsp;Chen Chen,&nbsp;Jianlin Lou,&nbsp;Shenghang Wang,&nbsp;Jin Guo Hang,&nbsp;Shoji F. Nakayama,&nbsp;Teruhiko Kido,&nbsp;Hao Feng,&nbsp;Xian Liang Sun,&nbsp;Jiancong Shan","doi":"10.1029/2024GH001142","DOIUrl":"10.1029/2024GH001142","url":null,"abstract":"<p>Per- and poly-fluoroalkyl substances (PFAS), which are long-lasting environmental contaminants that are released into the environment during the e-waste disassembly process, pose a threat to human health. Human milk is a complex and dynamic mixture of endogenous and exogenous substances, including steroid hormones and PFAS. Therefore, in this study, we aimed to investigate the association between PFAS and steroid hormones in human milk from women living close to an e-waste disassembly area. In 2021, we collected milk samples from 150 mothers within 4 weeks of delivery and analyzed them via liquid chromatography-tandem mass spectrometry to determine the levels of 21 perfluorinated compounds and five steroid hormones (estrone, estriol, testosterone, progesterone, and androstenedione [A-dione]). We also performed multiple linear regression analysis to clarify the association between maternal PFAS exposure and steroid hormone concentrations. Our results indicated that PFOA and PFOS were positively associated with estrone (<i>β</i>, 0.23; 95% CI, 0.08–0.39) and A-dione (<i>β</i>, 0.186; 95% CI, 0.016–0.357) concentrations in human milk, respectively. Further, the average estimated daily intake of PFOA and PFOS were 36.5 ng/kg bw/day (range, 0.52–291.7 ng/kg bw/day) and 5.21 ng/kg bw/day (range, 0.26–32.3 ng/kg bw/day), respectively. Of concern, the PFAS intake of breastfeeding infants in the study area was higher than the recommended threshold. These findings suggested that prenatal exposure to PFAS from the e-waste disassembly process can influence steroid hormones levels in human milk. Increased efforts to mitigate mother and infant exposure to environmental pollutants are also required.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 8","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11339319/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037399","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Quantification of Climate Footprints of Vibrio vulnificus in Coastal Human Communities of the United States Gulf Coast","authors":"Yusuf Jamal,&nbsp;Moiz Usmani,&nbsp;Kyle D. Brumfield,&nbsp;Komalpreet Singh,&nbsp;Anwar Huq,&nbsp;Thanh Huong Nguyen,&nbsp;Rita Colwell,&nbsp;Antarpreet Jutla","doi":"10.1029/2023GH001005","DOIUrl":"10.1029/2023GH001005","url":null,"abstract":"<p>The incidence of vibriosis is rising globally with evidence of climate variability influencing environmental processes that support growth of pathogenic <i>Vibrio spp</i>. The waterborne pathogen, <i>Vibrio vulnificus</i> can invade wounds and has one of the highest case fatality rates in humans. The bacterium cannot be eradicated from the aquatic environment, hence climate driven environmental conditions enhancing growth and dissemination of <i>V</i>. <i>vulnificus</i> need to be understood to provide preemptive assessment of its presence and distribution in aquatic systems. To achieve this objective, satellite remote sensing was employed to quantify the association of sea surface temperature (SST) and chlorophyll-<i>a</i> (chl-<i>a</i>) in locations with reported <i>V</i>. <i>vulnificus</i> infections. Monthly analysis was done in two populated regions of the Gulf of Mexico—Tampa Bay, Florida, and Galveston Bay, Texas. Results indicate warm water, characterized by a 2-month lag in SST, high concentration of phytoplankton, proxied for zooplankton using 1 month lagged chl-<i>a</i> values, was statistically linked to higher odds of <i>V</i>. <i>vulnificus</i> infection in the human population. Identification of climate and ecological processes thresholds is concluded to be useful for development of an heuristic prediction system designed to determine risk of infection for coastal populations.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 8","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333720/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142009747","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Air Pollution and Mortality in India: Investigating the Nexus of Ambient and Household Pollution Across Life Stages","authors":"Mihir Adhikary,&nbsp;Nandita Saikia,&nbsp;Pallav Purohit,&nbsp;Vladimir Canudas-Romo,&nbsp;Wolfgang Schöpp","doi":"10.1029/2023GH000968","DOIUrl":"10.1029/2023GH000968","url":null,"abstract":"<p>Air pollution in India is a foremost environmental risk factor that affects human health. This study first investigates the geographical distribution of ambient and household air pollution (HAP) and then examines the associated mortality risk. Data on fine particulate matter (PM_2.5) concentration has been extracted from the Greenhouse Gas Air Pollution Interactions and Synergies (GAINS) model. HAP, mortality and socio-demographic data were extracted from the National Family and Health Survey-5, India, 2019–2021. Regression models were applied to see the difference in age-group mortality by different pollution parameters. The districts with PM_2.5 concentration above the National Ambient Air Quality Standard (NAAQS) level of 40 μg/m³ show a higher risk of neonatal (OR-1.86, CI 1.418–2.433), postneonatal (OR-2.04, CI 1.399–2.971), child (OR-2.19, CI 0.999–4.803) and adult death (OR-1.13, CI 1.060–1.208). The absence of a separate kitchen shows a higher probability of neonatal (OR: 1.18, CI 1.074–1.306) and adult death (OR-1.06, CI 1.027–1.088). The interaction between PM_2.5 levels above NAAQS and HAP leads to a substantial rise in mortality observed for neonatal (OR 1.19 CI 1.051–1.337), child (OR 1.17 CI 1.054–1.289), and adult (OR 1.13 CI 1.096–1.168) age groups. This study advocates that there is a strong positive association between ambient and HAP and mortality risk. PM_2.5 pollution significantly contributes to the mortality risk in all age groups. Children are more vulnerable to HAP than adults. In India, policymakers should focus on reducing the anthropogenic PM_2.5 emission at least to reach the NAAQS, which can substantially reduce disease burden and, more precisely, mortality.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 8","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11333718/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142009746","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Climate Change and Health: Perspectives From Ghana","authors":"Martin Gameli Akakpo,&nbsp;Sylvia Hagan,&nbsp;Hayford Alufar Bokpin","doi":"10.1029/2024GH001030","DOIUrl":"10.1029/2024GH001030","url":null,"abstract":"<p>Climate change is impacting many aspects of human life in many ways. In Ghana, climate change knowledge remains low and discussions linking climate change and health are scarce. In this paper, authors contribute to the shaping of discussions about climate and health with a focus on how climate change increases certain ailments. First, the paper addresses the need for research in Ghanaian communities to link climate change and health. Second, the paper suggests the development of policies to address the link. Third, public health educators are advised in this paper to educate the public.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 8","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11316442/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141917814","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Geographical Patterns in Mortality Impacts Due To Heatwaves of Different Characteristics in Spanish Cities","authors":"Laura Paredes-Fortuny,&nbsp;Coral Salvador,&nbsp;Ana M. Vicedo-Cabrera,&nbsp;Samira Khodayar","doi":"10.1029/2024GH001092","DOIUrl":"10.1029/2024GH001092","url":null,"abstract":"<p>The impact of heatwaves (HWs) on human health is a topic of growing interest due to the global magnification of these phenomena and their substantial socio-economic impacts. As for other countries of Southern Europe, Spain is a region highly affected by heat and its increase under climate change. This is observed in the mean values and the increasing incidence of extreme weather events and associated mortality. Despite the vast knowledge on this topic, it remains unclear whether specific types and characteristics of HW are particularly harmful to the population and whether this shows a regional interdependency. The present study provides a comprehensive analysis of the relationship between HW characteristics and mortality in 12 Spanish cities. We used separated time series analysis in each city applying a quasi-Poisson regression model and distributed lag linear and non-linear models. Results show an increase in the mortality risk under HW conditions in the cities with a lower HW frequency. However, this increase exhibits remarkable differences across the cities under study not showing any general pattern in the HW characteristics-mortality association. This relationship is shown to be complex and strongly dependent on the local properties of each city pointing out the crucial need to examine and understand on a local scale the HW characteristics and the HW-mortality relationship for an efficient design and implementation of prevention measures.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 8","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-08-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11298710/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141894665","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}