Geohealth最新文献

{"title":"Access to Healthy Built and Natural Environments and Physical Activity and Screen Time in New Zealand Adolescents: A Geospatial Cross-Sectional Study.","authors":"L Marek, J Wiki, S Mandic, J C Spence, M Smith, E García Bengoechea, K J Coppell, S Kingham, M Hobbs","doi":"10.1029/2024GH001101","DOIUrl":"10.1029/2024GH001101","url":null,"abstract":"<p><p>The built and natural environment can facilitate (un)healthy behaviors in adolescence. However, most previous studies have focused on examining associations between singular aspects of the environment. This study examined the association between the mixture of health-promoting and health-constraining environmental features in a Healthy Location Index (HLI) and physical activity and screen time among adolescents. This cross-sectional study used data from the Built Environment and Active Transport to School (BEATS) Research Program based in Dunedin, New Zealand. Data from 1,162 adolescents with complete demographic, health behavior and spatial records were included in the analysis. The environment was defined using the HLI based on access to health-promoting (e.g., greenspace, blue space, physical activity facility) and health-constraining (e.g., fast-food outlets) features and their mixture. Quantile g-computation and multilevel mixed effects models, with adolescents nested within schools, examined associations between the environment and the two health behaviors. A positive association existed between meeting physical activity guidelines and access to health-promoting environments (OR = 1.23 [95% CI 1.03; 1.47]), particularly blue space. In addition, the mixture of health-promoting and health-constraining environments was also important (ψ = 1.18 [1.01; 1.37]). However, there was limited evidence of an association between the environment and screen time. We provide evidence of a relationship between health-promoting environments, the mix of health-promoting and health-constraining environments, and physical activity among adolescents. The findings support the hypothesis that the environment has the potential to positively influence healthy behaviors of youth, particularly when it comes to physical activity.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 1","pages":"e2024GH001101"},"PeriodicalIF":4.3,"publicationDate":"2025-01-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11694138/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142922192","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":"Subseasonal Prediction of Heat-Related Mortality in Switzerland.","authors":"Maria Pyrina, Ana M Vicedo-Cabrera, Dominik Büeler, Sidharth Sivaraj, Christoph Spirig, Daniela I V Domeisen","doi":"10.1029/2024GH001199","DOIUrl":"10.1029/2024GH001199","url":null,"abstract":"<p><p>Heatwaves pose a range of severe impacts on human health, including an increase in premature mortality. The summers of 2018 and 2022 are two examples with record-breaking temperatures leading to thousands of heat-related excess deaths in Europe. Some of the extreme temperatures experienced during these summers were predictable several weeks in advance by subseasonal forecasts. Subseasonal forecasts provide weather predictions from 2 weeks to 2 months ahead, offering advance planning capabilities. Nevertheless, there is only limited assessment of the potential for heat-health warning systems at a regional level on subseasonal timescales. Here we combine methods of climate epidemiology and subseasonal forecasts to retrospectively predict the 2018 and 2022 heat-related mortality for the cantons of Zurich and Geneva in Switzerland. The temperature-mortality association for these cantons is estimated using observed daily temperature and mortality during summers between 1990 and 2017. The temperature-mortality association is subsequently combined with bias-corrected subseasonal forecasts at a spatial resolution of 2-km to predict the daily heat-related mortality counts of 2018 and 2022. The mortality predictions are compared against the daily heat-related mortality estimated based on observed temperature during these two summers. Heat-related mortality peaks occurring for a few days can be accurately predicted up to 2 weeks ahead, while longer periods of heat-related mortality lasting a few weeks can be anticipated 3 to even 4 weeks ahead. Our findings demonstrate that subseasonal forecasts are a valuable-but yet untapped-tool for potentially issuing warnings for the excess health burden observed during central European summers.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"9 1","pages":"e2024GH001199"},"PeriodicalIF":4.3,"publicationDate":"2024-12-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11669574/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142904054","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":"Statement in Support of Diversity, Equity, and Inclusion for AGU GeoHealth Section.","authors":"K Ardon-Dryer, F Lo, U Ovienmhada","doi":"10.1029/2024GH001297","DOIUrl":"10.1029/2024GH001297","url":null,"abstract":"<p><p>This commentary presents the American Geophysical Union's GeoHealth section statement in support of diversity, equity, and inclusion (DEI). The GeoHealth section is an open community that represents diverse backgrounds in the geophysical, biological, and public health sciences that share a passion for research at the nexus of Earth and health sciences. The GeoHealth section will aim to advance our understanding of the interactions between the environment, human health, and well-being while supporting DEI topics. The GeoHealth Section will ensure a strong and sustained focus on different DEI-related issues by performing different activities presented in this commentary.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 12","pages":"e2024GH001297"},"PeriodicalIF":4.3,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11666420/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142885919","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":"Inequitable Spatial and Temporal Patterns in the Distribution of Multiple Environmental Risks and Benefits in Metro Vancouver","authors":"Shuoqi Ren,&nbsp;Amanda Giang","doi":"10.1029/2024GH001157","DOIUrl":"https://doi.org/10.1029/2024GH001157","url":null,"abstract":"<p>The urban environment impacts residents' health and well-being in many ways. Environmental benefits and risks may be interactively and inequitably distributed across different populations in cities, and these patterns may change over time. Here, we assess the spatial distribution of environmental risks and benefits in pairs, considering synergies and trade-offs, in an illustrative metropolitan area (Metro Vancouver) in Canada in the years 2006 and 2016. We classify census dissemination areas as sweet, sour, risky, or medium spots based on relative exposures for six environmental combinations: Walkability and NO₂; heat stress and NO₂; vegetation coverage and NO₂; vegetation coverage and heat stress; walkability and accessibility to natural recreational areas; and heat stress and accessibility to natural recreational areas. We evaluate whether different population groups are disproportionately exposed to lower environmental quality based on linear regressions and other metrics. We find that while performance for individual environmental variables improved over the decade, considering their combinations, sweet spots became sweeter and sour spots became sourer. Residents with high material and social deprivation and visible minorities were disproportionately exposed to lower environmental quality in both years for most of the environmental combinations. Further, we find that these inequities were not improving over time for all groups: for instance, South Asian residents in the region faced higher disproportionate burdens or diminished access to benefits in 2016, as compared to 2006. Given these findings, we suggest considerations of cumulative exposure in prioritizing areas for intervention, targeting the sour and risky spots persistently experienced by overburdened populations.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 12","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-12-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GH001157","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142868999","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":"Earth Observation Data to Support Environmental Justice: Linking Non-Permitted Poultry Operations to Social Vulnerability Indices","authors":"Mirela G. Tulbure,&nbsp;Júlio Caineta,&nbsp;Brooke Cox,&nbsp;Stephen V. Stehman,&nbsp;Ayse Ercumen,&nbsp;Rebecca Witter,&nbsp;Ryan Emanuel,&nbsp;Dana E. Powell,&nbsp;Kemp Burdette,&nbsp;Sherri White-Williamson,&nbsp;Shea Tuberty","doi":"10.1029/2024GH001179","DOIUrl":"10.1029/2024GH001179","url":null,"abstract":"<p>Concentrated Animal Feeding Operations (CAFOs) apply massive amounts of untreated waste to nearby farmlands, with severe environmental health impacts of swine CAFOs and proximity to disadvantaged communities well documented in some US regions. Most studies documenting the impacts of CAFOs rely almost exclusively on CAFO locations known from incomplete public records. Poultry CAFOs generate dry waste and operate without federal permits; thus, their environmental justice (EJ) impacts are undocumented. North Carolina (NC), a leading poultry producer, has seen a significant increase in poultry CAFOs, particularly since the 1997 swine CAFO moratorium. Using literature-derived heuristics, this study refined the locations of poultry CAFOs derived based on Earth Observation (EO) data and deep learning, reducing the overestimation of poultry CAFO density by 54% after heuristic adjustments. We removed 51.8% of misclassified features in NC and 61.5% across the US, significantly improving data set accuracy. Spatial analysis, including Local Indicators of Spatial Association, revealed that poultry CAFOs often cluster in census tracts with high Social Vulnerability Index (SVI) scores, indicating potential EJ issues. Notably, one-third of NC's census tracts with high poultry CAFO density also have high SVI, primarily in rural eastern regions. Similar patterns were observed in the South and Southeast of the US. However, not all high-density CAFO areas correspond with high SVI, suggesting a complex relationship between CAFO locations and community vulnerabilities. This study highlights the critical need for comprehensive, high-quality data on unpermitted poultry CAFOs derived using AI algorithms to fully understand their impacts on communities and accurately inform EJ evaluations.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 12","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-12-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11652945/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142856240","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":"The Analysis and the Impact of Surface Temperature Anomalies on the Health of Residents in the River Niger Basin Development Authority Area, West Africa","authors":"R. T. Akinnubi,&nbsp;K. J. Adegbo,&nbsp;M. O. Ojo,&nbsp;M. P. Ajakaiye,&nbsp;A. J. Sabejeje,&nbsp;J. O. Aramide,&nbsp;T. D. Akinnubi","doi":"10.1029/2024GH001069","DOIUrl":"10.1029/2024GH001069","url":null,"abstract":"<p>This study investigates the impact of surface temperature anomalies on the health of residents within the River Niger Basin Development Authority (RIBDA) enclave, which covers Nigeria, Niger, and Mali in West Africa, with a focus on the regional implications for public health. Historical climate data from 1985 to 2014, sourced from the Climatic Research Unit Time-Series, Version 3.22 (CRU TS 3.22), was analyzed to comprehend past climate patterns and establish a baseline for future comparisons. Predictions for future climate conditions (2015–2044) were derived by adjusting the CRU data using temperature projections from the Community Climate System Model 4 under the Representative Concentration Pathway 8.5 scenario. To assess the potential impacts of these climate changes, particularly during the boreal summer season of July-August-September (JAS), the study utilized the Hydrology, Entomology, and Malaria Transmission Simulator (HYDREMATS). Findings indicate that surface temperature can intricately influence disease transmission, with varied effects on parameters such as Ro, EIR, prevalence, and immunity index. Observations revealed fluctuations in temperature anomalies over the years, with negative anomalies in 1991–1995 and positive anomalies in subsequent years. Although precise predictions for 2016–2044 are challenging based solely on data trends from 1985 to 2015, continued temperature rises could potentially lead to increased disease prevalence and decreased immunity index. Moreover, the analysis identified a notable temporal increase in mean annual temperature and mean annual maximum temperature from 1999 to 2020, suggesting a faster warming trend in maximum temperatures compared to minimum temperatures. This increase in temperature variability may alter the onset and cessation dates of the rainy season, affecting water availability, accessibility, and consumption, consequently fostering conditions conducive to health-related diseases. By incorporating predicted long-term temperature changes due to greenhouse gas emissions while maintaining current inter-annual climate patterns, this approach allows researchers to anticipate potential future health implications in the studied regions.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 12","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11635307/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142819693","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":"Variation in the Impact of New York on Pause on Traffic Congestion by Racialized Economic Segregation and Environmental Burden","authors":"Jenni A. Shearston,&nbsp;Roheeni Saxena,&nbsp;Joan A. Casey,&nbsp;Marianthi-Anna Kioumourtzoglou,&nbsp;Markus Hilpert","doi":"10.1029/2024GH001050","DOIUrl":"10.1029/2024GH001050","url":null,"abstract":"<p>During the 2019 coronavirus pandemic, stay-at-home policies such as New York's (NY) NY on Pause dramatically reduced traffic congestion. Despite high traffic burden in NY's environmental justice communities, this reduction has not been evaluated through an environmental justice lens—our objective in this analysis. We obtained census tract-level traffic congestion data from Google traffic maps hourly for 2018–2020. We defined congestion as the percent of streets in a census tract with heavy traffic (red- or maroon-color). We used the Index of Concentration at the Extremes (ICE) to measure racialized economic segregation and the CDC's Environmental Justice Index (EJI) as a measure of combined environmental, social, and chronic disease burden. We divided census tracts into quintiles of ICE and EJI and used linear mixed models stratified by ICE and EJI quintile in an interrupted time series design. Prior to NY on Pause, less marginalized and burdened census tracts (Q5) tended to have higher levels of traffic congestion; during NY on Pause, this trend reversed. For both ICE and EJI, more marginalized and burdened (Q1–Q2 vs. Q4–Q5) tracts had smaller absolute decreases in percent traffic congestion. For example, percent traffic congestion in ICE Q5 decreased by 7.8% (% change: −36.6%), but in Q1, it decreased by 4.2% (% change: −51.7%). NY on Pause, while protecting residents during COVID-19, may have resulted in inequitable reductions in traffic congestion. It is critical that such inequities are measured and acknowledged so that future policies to reduce traffic congestion and respond to pandemics can enhance equity.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 12","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-12-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11632250/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142814699","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":"Effect of Regional Housing Hardship on Spatial Variation in Cancer Incidence: Does Housing Stress Increase Cancer Incidence?","authors":"Haishi Yu,&nbsp;Jinyu Huang,&nbsp;Yang Wang,&nbsp;Xiaoli Yue,&nbsp;Yingmei Wu,&nbsp;Hong'ou Zhang","doi":"10.1029/2024GH001140","DOIUrl":"https://doi.org/10.1029/2024GH001140","url":null,"abstract":"<p>Housing hardship can create a range of health issues. However, little attention has been paid to the relationship between housing hardship and cancer incidence. This study examines the Yangtze River Economic Belt (YREB) in China as a case study to develop a model of factors related to housing hardship that can affect cancer incidence. This study employs spatial regression models to investigate the correlation between housing hardship and cancer incidence and further explores the variation in the correlation between urban areas (UAs) and non-urban areas (NUAs). The research conclusions are as follows: (a) a palpable correlation exists between housing hardship and cancer incidence. The housing price-to-income ratio (HPIR) and the rental household proportion (RHP) are positively correlated to cancer incidence, whereas the per capita living area (PCLA) has a negative correlation with cancer incidence. (b) The differences in the impact of housing hardship on cancer incidence between the UAs and the NUAs are reflected mainly in the differences in the PCLA and the RHP. The PCLA has a strong association with cancer incidence in the UAs, whereas the RHP demonstrates a strong correlation with cancer incidence in the NUAs. (c) Significant spatial heterogeneity is observed in housing hardship in the YREB.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 12","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GH001140","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758062","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":"Characteristics of the Spatiotemporal Distribution of Influenza Incidence and Its Driving Factors Among Residents in Mainland China From 2004 to 2018","authors":"Y. R. Yao,&nbsp;K. Ma,&nbsp;Y. S. Li,&nbsp;H. R. Tan,&nbsp;J. Y. Zhang,&nbsp;Z. M. Zhang,&nbsp;Y. S. Lin,&nbsp;F. M. Fang","doi":"10.1029/2024GH001181","DOIUrl":"https://doi.org/10.1029/2024GH001181","url":null,"abstract":"<p>Influenza is an acute respiratory infection that spreads rapidly and widely in densely populated areas with low vaccination coverage. The trends and drivers of the spatial and temporal dynamics of influenza incidence among residents of mainland China have not been systematically studied. This study comprehensively analyses the dynamics and spatial correlation of influenza using long-term scale data and spatial panel data. It then identifies the interactive process of socio-economic and natural elements on the incidence of influenza. The highest prevalence of influenza was found in the 0–4 years age group in mainland China (mean prevalence, 67.56/100,000). In addition, influenza in mainland China shows seasonality, with fall and winter being the periods of high incidence. Between 2014 and 2017, influenza incidence was clustered in Hubei and Anhui provinces, and the spatial clustering was statistically significant (<i>Z</i> value &gt; 1.96, <i>P</i> &lt; 0.05). Moreover, the directionality of influenza onset continued to increase each year. Specifically, the clustering of influenza onset was stronger in the northwest-southeast direction than in the southwest-northeast direction between 2014 and 2018. The significant role of socioeconomic factors as a primary influence on influenza incidence, while their interaction with natural factors, such as air quality (NO_x and PM_2.5) and climatic conditions can exacerbate regional outbreaks. This study provides a novel perspective for better prevention and control of influenza disease among mainland Chinese residents.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 12","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2024GH001181","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142758063","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":"Planetary Health Booms: Unpacking the Surge in Research Across the Globe Through Joint-Point Analysis","authors":"Gladson Vaghela,&nbsp;Zeeshan Ali Khan,&nbsp;Randa Elsheikh,&nbsp;Abdelrahman M. Makram,&nbsp;Arshia Fatima,&nbsp;Omar Mohamed Makram,&nbsp;Fei He,&nbsp;Nguyen Tien Huy","doi":"10.1029/2024GH001028","DOIUrl":"10.1029/2024GH001028","url":null,"abstract":"<p>Planetary Health (PH) is a relatively new field that studies the sciences behind the interaction between the environment, living organisms, and human health. The number of publications in this field has increased exponentially in the past few years. This study analyzed the trend of using the term “PH” in literature. We searched PubMed for all publications (APP) and those mentioning Planetary Health (APmPH) without limitations on text availability, dates, or species. The publication trend was estimated using the average annual percent change (AAPC). Joinpoint Regression Program 4.9.1.0 identified periods with statistically distinct log-linear trends in publication numbers over time. Bonferroni adjustment determined significant trend shifts. The time frame of the retrieved APP and APmPH results ranged from 2002 to 2022 with a publication boom since 2017. The most common study designs were reviews, followed by comments and editorials. The APP, APmPH, and the proportion of APmPH to APP steadily increased from 2002 to 2022, with an AAPC of 6.0% (95% CI: 4.4%–7.6%, <i>p</i> &lt; 0.001), 35.7 (95% CI: 21.3%–51.9%, <i>p</i> &lt; 0.001), and 28.1% (95% CI: 15.2–42.5, <i>p</i> &lt; 0.001), respectively. The term “PH” is increasingly prominent in academic literature, underscoring the need for interdisciplinary efforts. Its growing usage also highlights the need for recognition in Medical Subject Headings by the National Library of Medicine.</p>","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"8 11","pages":""},"PeriodicalIF":4.3,"publicationDate":"2024-11-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11558129/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142630649","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}