IF 5 2区医学

Geohealth Pub Date : 2026-10-18 eCollection Date: 2026-10-01 DOI: 10.1029/2026GH001817

McKenzie L Woodman, Edith A Widder, Warren H Falls, Joseph D Ortiz

{"title":"Improving Micro- and Macro-Algae Speciation Mapping for Management: A Field-Validated Sentinel-2 and Sentinel-3 Intercomparison in the Indian River Lagoon.","authors":"McKenzie L Woodman, Edith A Widder, Warren H Falls, Joseph D Ortiz","doi":"10.1029/2026GH001817","DOIUrl":"10.1029/2026GH001817","url":null,"abstract":"In recent years, the health of the Indian River Lagoon (IRL) on Florida's east coast has fluctuated due to recurring harmful algal blooms (HABs). These events typically involve cyanobacteria, dinoflagellates, or A. lagunensis (brown tide) causing water-quality degradation and seagrass decline. The IRL is prone to HAB formation, and they have been observed more commonly in recent years. Although HABs can be non-toxic, they can threaten critical primary producers like seagrass and destabilize sediments. Due to their impact, it is critical to improve methods of water quality and algal bloom monitoring. To do this, we apply a multi-image varimax-rotated principal component analysis (VPCA) to images from a harmonized Sentinel-2 A/B multispectral imager (MSI) data set spanning three years (2020-2022). Field collected hyperspectral data and a coincident Sentinel-3 A/B OLCI image is used to further validate the multi-image VPCA. The VPCA method employs visible derivative water surface reflectance and unmixes the spectral signal to identify orthogonal components related to divisions of algae, suspended sediments, and seagrass. This advances water quality monitoring by improving unmixing and identification of optical components over time. This identification is supported by high correlation to a spectral library, field observation, published observations, and validation across sensors of varying resolutions. Through this research we find confident identification and mapping of in-water components related to cyanobacterial (component 1 r 2 = 0.865) and dinoflagellate blooms (component 4 and 5 r 2 = 0.986 and r 2 = 0.978), and seagrass beds (component 3 r 2 = 0.916) with 10 m spatial resolution through time improving water quality monitoring and root cause identification.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":"e2026GH001817"},"PeriodicalIF":5.0,"publicationDate":"2026-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13677071/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149221009","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}

引用次数: 0

Age-Period-Cohort Analysis of the Global Death Burden of Main Diseases Attributable to High Temperature in the Past 30 Years: Based on the Global Burden of Disease Study 2021 近30年全球高温主要疾病死亡负担的年龄-时期队列分析——基于全球疾病负担研究2021

IF 5 2区医学

Geohealth Pub Date : 2026-10-17 DOI: 10.1029/2025GH001623

Zhikang Wang, Yifang Liu, Lve Deng, Ke Li, Jiawei Ren, Xuran Shi, Qi Wang, Junan Liu

{"title":"Age-Period-Cohort Analysis of the Global Death Burden of Main Diseases Attributable to High Temperature in the Past 30 Years: Based on the Global Burden of Disease Study 2021","authors":"Zhikang Wang, Yifang Liu, Lve Deng, Ke Li, Jiawei Ren, Xuran Shi, Qi Wang, Junan Liu","doi":"10.1029/2025GH001623","DOIUrl":"https://doi.org/10.1029/2025GH001623","url":null,"abstract":"High temperatures pose a serious threat to human health. Quantifying the main disease death burden attributable to high temperatures can provide scientific evidence for policy development. Using Global Burden of Disease 2021 data, we identified the death burden attributable to high temperatures across all causes and determined the three leading causes. For each, we used age-standardized mortality rates attributable to high temperature (HA-ASMR) and estimated temporal trends via age-period-cohort modeling at global, regional, and national levels (1990–2021). Ischemic heart disease, stroke, and lower respiratory infections were the top three causes of deaths attributable to high temperature in 2021. Low-middle Socio-demographic Index (SDI) regions had the highest HA-ASMR for ischemic heart disease (3.49, 95%UI: 0.96–6.57) and stroke (2.55, 95%UI: 0.77–5.01), whereas lower respiratory infections showed the highest HA-ASMR in low SDI regions (2.52, 95%UI: 0.85–4.35). Age-period-cohort analysis generated net drift values for HA-ASMR in high SDI regions, with values of 0.99% (95%CI: 0.60%–1.39%) for ischemic heart disease, 1.19% (95%CI: 0.99%–1.40%) for stroke, and 2.36% (95%CI: 2.01%–2.70%) for lower respiratory infections. Longitudinal age curves showed elevated mortality risks attributable to high temperature in populations over 60 years. Global period and cohort rate ratios for high-temperature-attributable ischemic heart disease mortality increased over time. Global ischemic heart disease and stroke deaths attributable to high temperature continued rising with sharply elevated risks in older adults, while lower respiratory infection deaths attributable to high temperature among youth in high-income countries are increasing. Therefore, adaptation strategies must be specific to disease and age, varying by regional characteristics.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GH001623","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149206208","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}

引用次数: 0

A Spatiotemporal Modeling Approach for Predicting Concentrations of Ammonia in an Agricultural Region 农业区域氨浓度时空模拟方法研究。

IF 5 2区医学

Geohealth Pub Date : 2026-10-12 DOI: 10.1029/2025GH001517

Yeong Min Kim, Mei W. Tessum

{"title":"A Spatiotemporal Modeling Approach for Predicting Concentrations of Ammonia in an Agricultural Region","authors":"Yeong Min Kim, Mei W. Tessum","doi":"10.1029/2025GH001517","DOIUrl":"10.1029/2025GH001517","url":null,"abstract":"The availability of data on ambient ammonia exposure is limited in both spatial and temporal resolutions, especially in rural areas, despite its potential health impacts and rapidly increasing emissions. In this study, a land-use regression (LUR)-based spatiotemporal modeling approach was applied to predict agricultural-related ammonia concentrations at a fine spatial scale, extending the method's application in terms of the species of pollutant and the type of region. In this approach, spatiotemporal variations are primarily explained by a linear combination of temporal basis functions, with weights determined by LUR. We developed the model using ammonia concentrations we collected in 2022 and 2023 from 10 monitoring sites within Urbana-Champaign, Illinois, along with geographic covariates focused on agricultural features. Analysis of the model structure showed that livestock farms and populated areas are associated with ammonia peaks in summer and winter, whereas croplands are more closely associated with peaks in spring and fall. Cross-validated predictions showed high accuracies at most monitoring sites (R2 ≥ 0.69 at 90% of the sites), though accuracy varied by location, with lower accuracy linked to unique time trend in ammonia concentrations at a location. Finally, we mapped the seasonal predictions of ammonia concentrations across the study area at 30-m spatial resolution. In contrast, alternative models using simpler formulation or a smaller selection of covariates could not achieve an acceptable level of performance in identical evaluations. These results demonstrate the potential of LUR-based models as valuable tools for investigating agriculture-related air pollution exposure and highlight their broader applicability.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13659037/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149185415","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}

引用次数: 0

Rebuilding GeoHealth: Science, Governance, and Resilience After 2025 重建地球健康：2025年后的科学、治理和复原力。

IF 5 2区医学

Geohealth Pub Date : 2026-10-12 DOI: 10.1029/2026GH001997

Jennifer R. Bratburd, Gaige H. Kerr, Kishla Askins, Paula R. Buchanan, Bailey Magers, Ray Yeager, Ryan S. D. Calder

{"title":"Rebuilding GeoHealth: Science, Governance, and Resilience After 2025","authors":"Jennifer R. Bratburd, Gaige H. Kerr, Kishla Askins, Paula R. Buchanan, Bailey Magers, Ray Yeager, Ryan S. D. Calder","doi":"10.1029/2026GH001997","DOIUrl":"10.1029/2026GH001997","url":null,"abstract":"Recent U.S. federal policy changes have created disruption and uncertainty for researchers, policymakers, and practitioners in GeoHealth, the interlocking sciences connecting Earth systems to human health and wellbeing. The termination of billions of dollars in research and implementation funding, the dismantling of data systems and regulatory authority, and reductions in scientific workforce capacity have had cascading domestic and global consequences. These changes affect research and public health workflows, health outcomes, and the institutions that create evidence-based policy. This contributes to growing polarization in trust of science and reduces its policy relevance. In this Article, we assess the implications of these changes for GeoHealth governance and identify strategies to stabilize and rebuild the field. While federal leadership is crucial for scientific funding and policy coordination, the dependence of the research and science-policy communities on federal resources has created an unacceptable exposure to political volatility and influence. We propose reforms to limit disruption of funded research, expand partnerships with state and local governments, strengthen statutory protections for scientific infrastructure, and develop more reciprocal international collaborations that reduce systemic dependence on U.S. capacity. We also highlight the need to realign academic incentives to support public engagement, actionable research, and evidence-based policy. These recommendations aim to inform policymakers, research institutions, and funding agencies on the scope of and possible responses to the current crisis in order to preserve the benefits of coordinated federal science while building a more resilient and accountable system of research, policy, and practice.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13655975/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149185330","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}

引用次数: 0

Compound Heatwaves and Health Inequality: A Nationwide Study on Emergency Admissions and Socioeconomic Vulnerability in South Korea 复合热浪和健康不平等：一项关于韩国急诊入院和社会经济脆弱性的全国性研究。

IF 5 2区医学

Geohealth Pub Date : 2026-10-08 DOI: 10.1029/2026GH001920

Ayoung Kim, Jinah Park, Ho Kim, Yoonhee Kim

{"title":"Compound Heatwaves and Health Inequality: A Nationwide Study on Emergency Admissions and Socioeconomic Vulnerability in South Korea","authors":"Ayoung Kim, Jinah Park, Ho Kim, Yoonhee Kim","doi":"10.1029/2026GH001920","DOIUrl":"10.1029/2026GH001920","url":null,"abstract":"Climate change is intensifying the frequency and severity of extreme heat events. Despite the rising frequency of compound heatwaves (CHWs)—concurrent daytime and nighttime heat—evidence regarding cause-specific risks and socioeconomic disparities remains limited. This study aimed to examine associations between CHWs and emergency hospital admissions and to identify vulnerable subpopulations. This study analyzed 2,010,769 emergency hospital admissions in the summer (June–September, 2011–2019) using the South Korean National Health Insurance Service database. Heatwaves were classified as daytime, nighttime, or compound based on district-specific 90th percentile thresholds of the daily maximum and minimum temperatures. A time-stratified case-crossover design with a distributed lag model was applied to estimate odds ratios for emergency hospital admissions associated with each heatwave type. Subgroup analyses were conducted including age, sex, household income, population density, and admission cause. Furthermore, we tested the potential impacts of income by incorporating an interaction term between income and each subgroup. CHWs were associated with emergency admissions, with particularly strong associations for genitourinary diseases. The risks were highest among the elderly, male, residents of highly populated areas, and low-income groups. Furthermore, the association was most pronounced for genitourinary diseases, where the low-income group showed the highest risk. Daytime heatwaves showed higher risks than nighttime heatwaves, which had weaker but disease-specific associations. This study showed the health risks of CHWs that disproportionately affect genitourinary conditions and low-income populations, emphasizing the need for climate adaptation planning that prioritize vulnerable groups and heat-sensitive diseases.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13648162/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149138787","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}

引用次数: 0

Machine Learning Predictions of PM2.5 and Their Applications to Exposure and Health Assessment in the CONUS PM2.5的机器学习预测及其在CONUS暴露和健康评估中的应用

IF 5 2区医学

Geohealth Pub Date : 2026-10-08 DOI: 10.1029/2026GH001884

K. Fan, A. Bloom, Z. Qu

{"title":"Machine Learning Predictions of PM2.5 and Their Applications to Exposure and Health Assessment in the CONUS","authors":"K. Fan, A. Bloom, Z. Qu","doi":"10.1029/2026GH001884","DOIUrl":"10.1029/2026GH001884","url":null,"abstract":"Atmospheric fine particulate matter (PM2.5) is one of the most important risk factors for various respiratory and cardiovascular diseases. We develop a two-phase data-driven framework that uses geostationary Aerosol Optical Depth (AOD) retrievals to predict hourly PM2.5 at 0.01° × 0.01° resolution and support exposure assessment across multiple spatial and temporal contexts. We use a U-Net-like partial convolutional neural network framework inspired by image inpainting to address missing Aerosol Optical Depth (AOD) data from the GOES-R geostationary satellite. To fill large spatiotemporal gaps in the GOES-R record, we implement an iterative gap-filling approach that expands contextual information for successive predictions, maintaining strong agreement with collocated AERONET observations (R = 0.75) while increasing paired observations from 430,603 to 728,115. A random forest is used to predict surface PM2.5 concentrations using our spatiotemporally contiguous gap-filled AOD. The resulting PM2.5 estimates over 2019–2023 in the top 50 most populous counties over the CONUS capture the magnitude and spatial gradient as measured by the EPA Air Quality System (AQS) and PurpleAir low-cost sensor network (daily R2 = 0.85, mean bias = −0.11 μg/m3). We use these predictions to assess population exposure and estimate PM2.5-attributable mortality, finding that Black, Hispanic, and Indigenous populations experienced 1.7%–5.5% higher PM2.5 exposure than White populations across these counties. Additional wildfire case studies in less densely monitored rural regions demonstrate the framework's utility for characterizing short-term exposure events despite substantial gaps in satellite observations. These findings highlight the value of gap-filled geostationary AOD for high-resolution exposure assessment.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13648165/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149138847","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}

引用次数: 0

Childhood Lead-Exposure Prevention Through Predictive Mapping of At-Risk Housing Nationwide: A Free, Public-Data Screening Map Checked Against Measured Blood Lead in 11 States 通过全国危险住房预测地图预防儿童铅暴露：一个免费的公共数据筛选地图，与11个州的测量血铅进行核对。

IF 5 2区医学

Geohealth Pub Date : 2026-10-05 DOI: 10.1029/2026GH002053

Eric C. Ritter

{"title":"Childhood Lead-Exposure Prevention Through Predictive Mapping of At-Risk Housing Nationwide: A Free, Public-Data Screening Map Checked Against Measured Blood Lead in 11 States","authors":"Eric C. Ritter","doi":"10.1029/2026GH002053","DOIUrl":"10.1029/2026GH002053","url":null,"abstract":"Childhood lead exposure causes irreversible neurodevelopmental harm, and no safe blood lead level in children has been identified. Measured childhood blood lead is collected unevenly across the United States, and many areas publish no neighborhood-level surveillance, so the children at highest risk are often the hardest to find by measurement. Building on the U.S. Environmental Protection Agency finding that housing age and poverty predict where childhood lead exposure concentrates, we computed a lead-exposure risk score for all 83,388 U.S. census tracts and 3,222 counties from public American Community Survey housing-age and poverty data, and tested it against measured childhood blood lead in 11 states by Spearman rank correlation. On surveillance the source study never used, predicted risk tracked measured elevated blood lead at rho = 0.64 across Wisconsin's 1,308 census tracts, with five independent county-scale states ranging from 0.48 to 0.77 and three further independent tract states (Massachusetts, Rhode Island, Minnesota) agreeing. A flexible model on the same public inputs explains only about half the tract-level variance, so housing age and poverty leave most of the variation unexplained, and the map is a screening signal rather than a diagnosis. Every validation state is an older-housing Northeast, Midwest, or Great Plains jurisdiction, so the low-risk predictions for the newer-built West and Sun Belt remain an untested extrapolation. Reproducible from public data and free to use, the map ranks where confirmatory testing should go first, including in states that publish no surveillance of their own.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-10-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13636237/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149116914","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}

引用次数: 0

Global Health Hazards From Human-Derived Volatile Organic Compounds Amid Emission Variability 人类来源的挥发性有机化合物在排放变异中的全球健康危害。

IF 5 2区医学

Geohealth Pub Date : 2026-10-03 DOI: 10.1029/2026GH001910

Annada Padhi, Suvarna Fadnavis, Mathew Koll Roxy

{"title":"Global Health Hazards From Human-Derived Volatile Organic Compounds Amid Emission Variability","authors":"Annada Padhi, Suvarna Fadnavis, Mathew Koll Roxy","doi":"10.1029/2026GH001910","DOIUrl":"10.1029/2026GH001910","url":null,"abstract":"Health risks from high air pollution exposure remain challenging despite pollution control strategies. Health hazards caused by particulate matter and ozone have been reported for the past three decades. Here, we report the hazard quotient for Volatile Organic Compounds (VOCs) causing non-carcinogenic risk globally using chemistry-climate model simulations. We report hazard quotient (HQ) for three scenarios: (a) baseline scenario, (b) continued increasing emissions leading to doubling of anthropogenic VOCs (DVOCS), and (c) mitigation scenarios where emissions are reduced to half (HalfVOCS). Interestingly, we report that long-term ambient exposure to VOCs increases non-carcinogenic health risk by up to 36% in the high-emission scenario. Hazardous VOCs such as benzene, formaldehyde, hydrogen cyanide, and acetonitrile remain at levels that pose chronic risks to large populations. Benzene and formaldehyde pose the greatest hazards, with maximum HQ ranging from 1.4 to 2.0. Additionally, the DVOCS scenario increases the risk to the exposed population by 18.6%–21.5% in northern India and eastern China, and by 10.7% in West-Central Africa. Conversely, the HalfVOCS scenario shows a decrease in the exposed population of −3 to −21%. We estimate that approximately a million people face chronic respiratory and neurological risks from current ambient VOCs levels. Our findings demonstrate that VOCs exposure constitutes a major driver of the global disease burden, necessitating immediate international emission-reduction strategies.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC13633472/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149116936","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}

引用次数: 0

Hay Fever Symptom Burden From Grass Pollen: Implications for Public Health Warning Thresholds 花粉引起的花粉热症状负担：对公共卫生预警阈值的影响

IF 5 2区医学

Geohealth Pub Date : 2026-09-28 DOI: 10.1029/2026GH001946

Max J. Tyler, Darsy Darssan, Edwin R. Lampugnani, Nicholas J. Osborne

{"title":"Hay Fever Symptom Burden From Grass Pollen: Implications for Public Health Warning Thresholds","authors":"Max J. Tyler, Darsy Darssan, Edwin R. Lampugnani, Nicholas J. Osborne","doi":"10.1029/2026GH001946","DOIUrl":"https://doi.org/10.1029/2026GH001946","url":null,"abstract":"This study quantifies the lagged association between grass pollen exposure and the onset of allergic rhinitis (AR) symptoms, including differences between asthmatic and non-asthmatic subgroups. Data included 114,834 self-reported AR symptoms collected from 25,194 uniquely identified users of a smartphone application. Reports were gathered prospectively for seven consecutive grass pollen seasons (2017–2023) in Melbourne. We adjusted for meteorological, air quality, and other time-varying covariates. A quasi-Poisson regression model combined with a distributed lag non-linear model (DLNM) was used, testing 0–7 days lagged effects. An association between grass exposure and daily AR incidence of any severity was observed on “low” exposure days (19 grains/m3), when exposure was modeled cumulatively across a 3-day lag period (RR 1.31, 95% CI 1.16–1.47). Higher grass concentrations were associated with increased risk at lag-1, with risk rising from RR 1.08 (95% CI 0.99–1.17) at 19 grains/m3 to RR 1.19 (95% CI 1.09–1.29) at 150 grains/m3. By lag-2, risk returned to a non-significant baseline. Asthmatics, users reporting medication use, and users reporting more severe symptoms exhibited elevated risk at later lags. The magnitude and duration of elevated risk varied across stratified models by age and sex. We provide new population-level evidence that grass pollen triggers allergic rhinitis symptoms predominately on the day of exposure, even at concentrations traditionally classified as “low”, with symptom risk persisting longer in asthmatics and other sensitive groups. This study highlights the value of refining communication and early-warning systems to better support individuals who are sensitive to even low levels of exposure.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 10","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2026GH001946","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149068105","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}

引用次数: 0

Spatio-Temporal Dynamics of Crimean Congo Hemorrhagic Fever Virus Infection Using Animal Sentinel Herds in Senegal: March 2021–June 2024 2021年3月至2024年6月塞内加尔岗哨畜群感染克里米亚刚果出血热病毒的时空动态

IF 5 2区医学

Geohealth Pub Date : 2026-09-25 DOI: 10.1029/2025GH001787

Déthié Ngom, Elisabeth Thérèse Faye, Aliou Khoulé, Sokhna Mayemouna Diop, Ousseynou Sène, Mignane Ndiaye, Cheikh Talla, Cheikh Loucoubar, Oumar Faye, Mawlouth Diallo, Etienne Simon-Lorière, Anavaj Sakuntabhai, Gamou Fall, Diawo Diallo

{"title":"Spatio-Temporal Dynamics of Crimean Congo Hemorrhagic Fever Virus Infection Using Animal Sentinel Herds in Senegal: March 2021–June 2024","authors":"Déthié Ngom, Elisabeth Thérèse Faye, Aliou Khoulé, Sokhna Mayemouna Diop, Ousseynou Sène, Mignane Ndiaye, Cheikh Talla, Cheikh Loucoubar, Oumar Faye, Mawlouth Diallo, Etienne Simon-Lorière, Anavaj Sakuntabhai, Gamou Fall, Diawo Diallo","doi":"10.1029/2025GH001787","DOIUrl":"https://doi.org/10.1029/2025GH001787","url":null,"abstract":"Crimean-Congo Hemorrhagic Fever virus (CCHFV) is a zoonotic arbovirus of major public health, transmitted to humans and animals by ticks or animals infected. Although previous evidence of CCHFV circulation was reported in central and southeastern bioecological areas of Senegal, its spatial and temporal dynamics remain poorly understood. To investigate CCHFV activity, naïve sheep and goats were placed near human populations as sentinel herds in the areas from March 2021 to June 2024. Blood and tick samples were regularly collected from these animals. Sera were tested by ELISA for CCHFV antibodies, while ticks were screened by RT-PCR for CCHFV RNA. A total of 2,708 sera were tested and an overall seroconversion of 16.83% (95% CI: 14.46%–19.42%) was recorded. Variations in CCHFV infection rate (CCHFVIR) were no significant between central and southeastern zones, but highly significant between districts within each area. Goats were significantly more likely to be infected than sheep (OR = 1.47; 95% CI: 1.03–2.11; p = 0.035). The CCHFVIR was significantly higher during dry season (dry: 21.77%; 95% CI: 17.80%–26.17% vs. rainy: 13.08%; 95% CI: 10.30%–16.28%, p = 0.001). Seasonal fluctuations in tick vectors abundance appeared to closely correlate with seroconversion dynamics in sentinel herds, even if they are no tick pool positive to CCHFV by RT-PCR. This study showed permanent circulation of CCHFV in both areas, and suggest that rainfall patterns, host species and geographic location are key factors in CCHFV transmission risk. A One Health approach associating animal, human and environmental surveillances need to be implemented to control CCHF emergence and spread.","PeriodicalId":48618,"journal":{"name":"Geohealth","volume":"10 9","pages":""},"PeriodicalIF":5.0,"publicationDate":"2026-09-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1029/2025GH001787","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"149048344","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}

引用次数: 0

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