Geohealth最新文献

{"title":"Comprehensive Spatial Investigation of Tuberculosis Dynamics and Affecting Factors in Şanlıurfa, Türkiye (2016–2023)","authors":"M. Çelik,&nbsp;M. F. Döker,&nbsp;C. Kırlangıçoğlu,&nbsp;Ö. Ünsal,&nbsp;S. Gökçeoğlu,&nbsp;M. R. Ceylan,&nbsp;O. Karabay","doi":"10.1029/2024GH001235","DOIUrl":"10.1029/2024GH001235","url":null,"abstract":"<p>Tuberculosis (TB) remains a critical public health issue, particularly in regions with significant socio-economic disparities. This study provides a comprehensive spatial analysis of TB dynamics in Şanlıurfa, Türkiye, covering the period from 2016 to 2023. Utilizing Geographic Information Systems, epidemiological data, and advanced statistical techniques, the research examines the spatial distribution and temporal trends of TB cases within this region. By integrating patient data with demographic, environmental, and socio-economic variables, the study assesses the complex factors influencing TB incidence and prevalence. The results indicate significant spatial clustering of TB cases, with the highest concentrations in areas characterized by high population density, lower socio-economic status, limited healthcare accessibility, and poor environmental conditions. Temporal trends reveal a gradual decline in TB incidence over the study period; however, certain hotspots persist, underscoring the need for sustained and targeted interventions. Furthermore, the study identifies a correlation between TB prevalence and inadequate living conditions, emphasizing the role of socio-economic improvement in disease control. These findings provide crucial insights for policymakers and public health officials, facilitating the development of more effective, evidence-based TB control strategies tailored to the unique socio-economic and geographical landscape of Şanlıurfa.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-07-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GH001235","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144673204","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":"Urban Form and Environmental Characteristics as Drivers of Air Pollution Exposure Variability and Inequality in Fujian Province, China","authors":"Chaohao Ling,&nbsp;Yiqi Zhang,&nbsp;Qian Shen,&nbsp;Ruohan Dai,&nbsp;Bangru Lou,&nbsp;Yiling Kang,&nbsp;Shaofu He","doi":"10.1029/2025GH001393","DOIUrl":"10.1029/2025GH001393","url":null,"abstract":"<p>Air pollution, particularly fine particulate matter, poses significant health and environmental risks, with exposure levels exhibiting considerable spatial inequality. However, few studies have comprehensively examined how urban form and environmental factors influence air pollution exposure and its spatial inequality. This study investigates how urban and environmental factors affect particulate matter pollution (PM₁, PM_2.5, and PM₁₀) and its spatial inequality across 85 counties in Fujian, China. Twelve indicators across urban form, socio-economic, and environmental domains were analyzed using principal component analysis and partial correlation networks. Our results show that while overall air pollution levels exhibit substantial variability, spatial inequality in exposure does not always correlate directly with these levels. Notably, while urbanized counties display higher pollution exposure, significant disparities in pollution distribution are observed within regions of similar pollution levels. Urban and socio-economic features such as population density and road density are strongly correlated with higher pollution exposure, especially in more urbanized areas. In contrast, environmental factors, such as vegetation coverage and precipitation, significantly mitigate pollution levels. Principal component analysis reveals that development density and environmental changes primarily drive overall pollution levels, while economic activity and segregation contribute to the spatial inequality of exposure. Network analysis further corroborates that high-density urban development exacerbates pollution exposure, while socio-economic segregation contributes to uneven distribution across the population. Our findings underscore the need for integrated urban planning strategies that address these urban and environmental factors to reduce air pollution inequality and promote more equitable urban environments.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GH001393","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144647386","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":"Incorporating Community Knowledge Into Analysis of Air Quality Monitoring Network Data","authors":"R. Gardner-Frolick,&nbsp;S. Jain,&nbsp;N. Martinussen,&nbsp;S. Chambliss,&nbsp;D. Jackson,&nbsp;N. Zimmerman,&nbsp;A. Giang","doi":"10.1029/2025GH001378","DOIUrl":"10.1029/2025GH001378","url":null,"abstract":"<p>We conducted a pilot study to explore methods of incorporating qualitative community knowledge into quantitative assessment of temporal and spatial air quality patterns in a neighborhood in Vancouver, British Columbia. We deployed a low-cost sensor network measuring NO, NO₂, and PM_2.5. We used a variety of sources of community knowledge to complement a timeseries analysis and spatial model: a survey by the residents' association; odor reports from a citizen science project; and data from a community mapping event. Community knowledge highlighted, among other sources, areas where cars and heavy-duty vehicles idle, locations of construction, and locations of wood stoves. When creating a “traditional” land use regression (LUR) using easily accessible, and publicly available data sources, and a “community” LUR that uses community-reported air pollution sources, model fit was improved in the community LURs for NO₂ and NO_x. This suggests that community knowledge can provide insight into sources that are not well captured in commonly used, publicly available data sets due to their transient and informal nature. Not all community-reported short-term events corresponded to peaks in monitor data, which could reflect that reports were more correlated with unmeasured pollutants. We suggest that future studies collecting community knowledge on short-term pollution events through community mapping lower barriers to participation (i.e., through hosting a series of drop-in events, providing childcare, or timing any event to coincide with neighborhood-wide events). With these examples, we showcased ways to include community knowledge in quantitative air pollution studies and highlight opportunities to expand on these methods.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-07-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GH001378","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144647387","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":"Integrating Wind Speed Into Climate-Based West Nile Virus Models: A Comparative Analysis in Two Distinct Regions","authors":"Eric R. Bump,&nbsp;Anita Bharadwaja,&nbsp;Sean Simonson,&nbsp;Emma Ortega,&nbsp;Michael C. Wimberly","doi":"10.1029/2024GH001320","DOIUrl":"10.1029/2024GH001320","url":null,"abstract":"<p>Since its introduction to North America in 1999, West Nile virus (WNV) has become the most widespread mosquito-borne disease in the United States. Climatic conditions significantly influence transmission dynamics. While temperature, precipitation, and humidity are known to affect mosquito populations and virus replication, wind speed is often neglected in transmission models despite its potential to alter mosquito behavior and facilitate mosquito dispersal. This study incorporates wind speed into climate-based WNV models to compare its effects in Louisiana and South Dakota, two U.S. states with contrasting climates, land cover, and vector and host species. From 2004 to 2022, we analyzed weekly WNV human case data in relation to daily meteorological data. The relationships were modeled using logistic regression with distributed lag effects. Incorporating wind speed consistently enhanced the fit of climate-based models across both states, as evidenced by the Akaike Information Criterion. Higher-than-normal wind speeds were associated with decreased WNV cases over specific lag periods, suggesting that increased wind speed may inhibit mosquito activity and reduce virus transmission. Differences in how temperature and moisture-related variables influenced the two regions highlight the importance of considering regional climatic contexts. These findings demonstrate that incorporating wind speed can enhance meteorological models of mosquito-borne diseases and reinforce the importance of considering a broader range of climatic factors beyond temperature and precipitation. Understanding these regional variations is essential for predicting local climatic influences on disease transmission, which can support the implementation of more targeted and effective public health strategies.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-07-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GH001320","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144558285","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":"Fungal Spore Seasons Advanced Across the US Over Two Decades of Climate Change","authors":"Ruoyu Wu,&nbsp;Yiluan Song,&nbsp;Jennifer R. Head,&nbsp;Daniel S. W. Katz,&nbsp;Kabir G. Peay,&nbsp;Kerby Shedden,&nbsp;Kai Zhu","doi":"10.1029/2024GH001323","DOIUrl":"10.1029/2024GH001323","url":null,"abstract":"<p>Phenological shifts due to climate change have been extensively studied in plants and animals. Yet, the responses of fungal spores—organisms important to ecosystems and major airborne allergens—remain understudied. This knowledge gap limits our understanding of their ecological and public health implications. To address this, we analyzed a long-term (2003–2022), large-scale (the continental US) data set of airborne fungal spores collected by the US National Allergy Bureau. We first pre-processed the spore data by gap-filling and smoothing. Afterward, we extracted 10 metrics describing the phenology (e.g., start and end of season) and intensity (e.g., peak concentration and integral) of fungal spore seasons. These metrics were derived using two complementary but not mutually exclusive approaches—ecological and public health approaches, defined as percentiles of total spore concentration and allergenic thresholds of spore concentration, respectively. Using linear mixed-effects models, we quantified annual shifts in these metrics across the continental US. We revealed a significant advancement in the onset of the spore seasons defined in both ecological (11 days, 95% confidence interval: 0.4–23 days) and public health (22 days, 6–38 days) approaches over two decades. Meanwhile, total spore concentrations in an annual cycle and in a spore allergy season tended to decrease over time. The earlier start of the spore season was significantly correlated with climatic variables, such as warmer temperatures and altered precipitations. Overall, our findings suggest possible climate-driven advanced fungal spore seasons, highlighting the importance of climate change mitigation and adaptation in public health decision-making.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GH001323","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514503","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":"Overheated and Understudied: A Scoping Review of Heat-Related Health Impacts in the Arabian Peninsula","authors":"Anais Teyton,&nbsp;Jennifer Bailey,&nbsp;Eqi Luo,&nbsp;Rahaf Ajaj,&nbsp;Colin Raymond,&nbsp;Cascade Tuholske,&nbsp;Tarik Benmarhnia","doi":"10.1029/2024GH001277","DOIUrl":"10.1029/2024GH001277","url":null,"abstract":"<p>Extreme heat is worsening due to climate change, and, in combination with increasing urban growth, is an escalating public health concern. In the Arabian Peninsula, the wet-bulb temperature is projected to surpass theoretical human tolerance limits during the 21st century. Yet, heat research in the region has generally not focused on health impacts, and it is unclear how epidemiologic literature has investigated this. We performed a scoping review to examine the existing literature that assessed the relationship between extreme heat and health outcomes in the Arabian Peninsula, collecting papers published from 2010 to 2024 from three databases. We identified and extracted detailed information from a limited number of studies (<i>n</i> = 12). The greatest number of studies were conducted in Kuwait (<i>n</i> = 8), with others in Saudi Arabia (<i>n</i> = 4), and Qatar, Oman, Yemen, and the United Arab Emirates (<i>n</i> = 1 each). Average temperature was the most used exposure (<i>n</i> = 9) assessed at the daily level (<i>n</i> = 10), using one or several meteorological stations (<i>n</i> = 9) from a single city (<i>n</i> = 8). The outcome was predominantly daily-level (<i>n</i> = 10) mortality (<i>n</i> = 9) assessed at an ecological scale (<i>n</i> = 10) as opposed to the individual scale. While most studies included confounders (<i>n</i> = 10), their selection was not always consistent with best practices. Most papers did not assess effect modification (<i>n</i> = 8), and none investigated modification by land-cover and land-use change on the heat-health relationship. We provide future research recommendations based on our findings. Additional studies are critical to better understand the heat-health relationship in the Arabian Peninsula, which can aid intervention implementation.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 7","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-06-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GH001277","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144514504","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":"Remote Sensing and GIS-Based Study to Predict Risk Zones for Mosquito-Borne Diseases in Cuttack District, Odisha, India","authors":"Subrata Kumar Palo,&nbsp;Prachi Prava Panda,&nbsp;Debasini Parida,&nbsp;Shikha Taneja Malick,&nbsp;Sanghamitra Pati","doi":"10.1029/2023GH001007","DOIUrl":"10.1029/2023GH001007","url":null,"abstract":"<p>Tropical and sub-tropical regions mostly provide favorable conditions for the spread of vector-borne diseases especially those transmitted by mosquito vectors. Viral disease outbreaks such as dengue, chikungunya, Japanese encephalitis; and parasitic diseases such as malaria, and filariasis; are common health problems caused by mosquitos. According to the World Health Organization (WHO), globally around 40% of people are at high risk of mosquito-borne diseases (MBD) (WHO Fact-sheets, 2020, https://www.who.int/news-room/fact-sheets/detail/vector-borne-diseases). In the present study, Remote Sensing methods integrated with Geographic Information System (GIS) have been used to predict the risk zones for MBD in Cuttack, a district of Odisha, the eastern state of India. The findings of this study could be utilized to develop and implement MBD control and prevention strategies in identified high-risk areas. Under this study, the Landsat-8 multispectral temporal images from 2018 to 2021 were used to identify and demarcate the water-logged areas and sites favorable for mosquito breeding. The goal is to identify risk zones for MBD using different indices such as Normalized Difference Water Index, Normalized Difference Moisture Index, Normalized Difference Vegetation Index, and Land Surface Temperature by evaluating water, moisture, vegetation, and temperature parameters. Applying Arc GIS software analysis models,we found 11,730.07 Ha. as a high-risk zone, 28,053.99 Ha. as a medium-risk zone, and 12,669.69 Ha. as a low-risk zone. This study has the potential to enable informed decision-making and proactive mosquito-borne disease prevention.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2023GH001007","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144482287","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":"Extreme Drought Events (1585–1590) and Spatiotemporal Patterns of Infectious Diseases Outbreaks in Ming Dynasty China","authors":"Jingyi Xin,&nbsp;Zhaobin Sun,&nbsp;Juan He,&nbsp;Xiaoyi Hang,&nbsp;Yuxin Zhao,&nbsp;Shuwen Zhang,&nbsp;Yu Hao","doi":"10.1029/2025GH001386","DOIUrl":"10.1029/2025GH001386","url":null,"abstract":"<p>Droughts, historically recognized as drivers of societal transformation, have been implicated in the emergence of infectious diseases. While existing research has concentrated on the impact of climate change on infectious diseases outbreaks in modern, industrialized, and urban settings, there is a dearth of epidemiological evidence regarding the historical interplay between drought and disease. Here, we analyze the 1585–1590 extreme drought in Ming Dynasty China to investigate the concurrent development of drought and infectious diseases, as well as the temporal and spatial effects of drought on disease outbreaks. The findings reveal a positive correlation between drought and infectious diseases in both temporal and spatial dimensions, with famine identified as a critical intermediate factor. Drought's influence on famine and disease is both immediate and delayed, with the most significant effects occurring within the same year. Additionally, a north-to-south pattern in the occurrence of drought and infectious diseases is observed, with northern droughts more likely to precipitate disease outbreaks. These insights offer valuable perspectives for future strategies.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-06-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GH001386","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144339244","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":"Extreme Weather Events Interact With Local Contexts to Alter the Frequency of Firearm Violence and Child Maltreatment in Wayne County, Michigan","authors":"Rebeccah Sokol,&nbsp;Cynthia Gerlein-Safdi,&nbsp;Michelle Degli Esposti,&nbsp;Mildred Wallace","doi":"10.1029/2025GH001406","DOIUrl":"10.1029/2025GH001406","url":null,"abstract":"<p>Climate change is creating more frequent extreme weather events, but impacts on violence are not well understood. We explored associations of extreme weather with firearm violence and child maltreatment in Wayne County, Michigan. To understand contextual influences, we estimated models using data from before (2018–2019), during (March 2020–March 2021), and after (2022–2023) the onset of the COVID-19 pandemic. In both 2018–2019 and 2022–2023, firearm violence was lower in the first couple days after extreme weather compared to no prior extreme weather (relative risks [RR]: 0.44–0.54; 95% confidence intervals [CI]: 0.21–0.37, 0.79–0.90), with the influence waning over the following week. We did not observe any reduction, however, during the first year of the COVID-19 pandemic. Associations differed for child maltreatment. In 2018–2019, we observed no change in maltreatment in the days following extreme weather. Yet, during the first year of the COVID-19 pandemic, child maltreatment was higher over the 10 days following extreme weather (RR: 1.24; 95% CI: 0.97, 1.58). In 2022–2023, child maltreatment was lower following extreme weather events, but this finding is likely an artifact of reduced reporting after extreme weather during this period. In Wayne County, extreme weather immediately reduced firearm violence, with effects waning as people likely resumed regular activities. The first year of the COVID-19 pandemic suspended this influence, as extreme weather may not have changed daily activities beyond pandemic-related disruptions. For child maltreatment, however, extreme weather created accumulating risk over several days when it disrupted an already stressed environment.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-06-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GH001406","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144331883","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":"Racial and Ethnic Inequities to Cumulative Environmental and Occupational Impacts in Michigan","authors":"Abas Shkembi,&nbsp;Sung Kyun Park,&nbsp;Jon Zelner,&nbsp;Richard Neitzel","doi":"10.1029/2025GH001482","DOIUrl":"10.1029/2025GH001482","url":null,"abstract":"<p>The contribution of occupational exposures to the extent of cumulative environmental impacts, and their implications for environmental justice (EJ), have not been investigated. We (a) characterized communities with cumulatively high occupational and environmental exposures, (b) examined whether marginalized, historically redlined neighborhoods were disproportionately affected by these exposures, and (c) evaluated the implications of failing to consider workplace exposures in EJ screening tools in Michigan. At the census tract-level, we combined occupational exposure estimates of six common workplace hazards, environmental exposures from EJScreen and the National Transportation Noise Map, demographic information from the American Community Survey, and redlining information from the 1930s Home Owners' Loan Corporation maps to test the first two objectives using supervised and unsupervised statistical methods. The last objective incorporated the occupational indicators into the Michigan-specific EJ screening tool (MiEJScreen) to test the third objective. Among 2,772 Michigan census tracts, 738 (27%) had cumulatively high occupational and environmental exposures, primarily in urban areas. Tracts with &gt;90% (compared to &lt;10%) of racial and ethnic minority individuals had 2.31 (95% CI: 1.78–3.03) times higher odds of cumulatively high exposures. A simultaneous increase to the 90th percentile (relative to the 50th) in all 13 occupational and environmental exposures was associated with 2.47 (95% CI: 1.20–5.36) times higher odds of a tract having been historically redlined. Not incorporating occupational exposures into the MiEJScreen would overlook 90 census tracts with cumulatively high environmental and occupational impacts, affecting around 255,000 individuals. Ignoring occupational exposures in cumulative environmental impact assessments may overlook important EJ hotspots.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 6","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GH001482","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144323374","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}