Journal of water and health最新文献_第3页

Estimating wastewater concentrations of norovirus and rotavirus from global data on community-level infection prevalence and viral shedding. 根据全球社区感染流行率和病毒脱落数据估计诺如病毒和轮状病毒的废水浓度。

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-02-25 DOI: 10.2166/wh.2026.212

Nancy Mondragon, Evert-Jan Bakker, Gertjan Medema, Daniel A Okaali, Nynke Hofstra

{"title":"Estimating wastewater concentrations of norovirus and rotavirus from global data on community-level infection prevalence and viral shedding.","authors":"Nancy Mondragon, Evert-Jan Bakker, Gertjan Medema, Daniel A Okaali, Nynke Hofstra","doi":"10.2166/wh.2026.212","DOIUrl":"10.2166/wh.2026.212","url":null,"abstract":"Water quality modelling offers the opportunity of estimating the magnitude of pathogen loads into wastewater by using data on disease prevalence and excretion. The objective of this paper is to reflect on the potential of using prevalence and excretion rate data from the literature to simulate wastewater concentrations for norovirus and rotavirus. Three systematic literature reviews were carried out to collect worldwide data. Firstly, targeting community-level prevalence data, secondly, viral excretion rates in faecal material, and thirdly, concentrations in wastewater. Data collected in the first two reviews were input to simulate concentrations in wastewater. Model results were compared with reported concentrations collected in the latest review. Of 2,193 studies, 97 were included. Reported community-level prevalence of infection ranged from 0.22 to 9.5% for norovirus and 0 to 3.3% for rotavirus. Mean viral excretion was 4.9 × 1010 and 9.7 × 108 GC/g stool for norovirus and rotavirus, respectively. Average reported wastewater concentrations were 1.5 × 107 and 2.4 × 107 GC/100 mL, respectively. Modelled concentrations were generally higher than observed values. This synthesis demonstrates the potential of integrating prevalence and excretion data through modelling to estimate pathogen loads in wastewater while highlighting major sources of variability and the need for more data collection on prevalence and excretion.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"415-431"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574795","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Applying weighted quantile sum regression to wastewater surveillance: enteric viral mixtures and diarrheal disease trends in Costa Rica. 将加权分位数和回归应用于废水监测：哥斯达黎加的肠道病毒混合物和腹泻病趋势。

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-02-17 DOI: 10.2166/wh.2026.197

Eric Morales, Luis Rivera-Montero, Nachalie Ramos-Montalvo, Jose Montiel-Mora, Bradd Mendoza-Guido, Ernesto Alfaro-Arrieta, Pablo Rivera-Navarro, Kenia Barrantes, Luz Chacón

{"title":"Applying weighted quantile sum regression to wastewater surveillance: enteric viral mixtures and diarrheal disease trends in Costa Rica.","authors":"Eric Morales, Luis Rivera-Montero, Nachalie Ramos-Montalvo, Jose Montiel-Mora, Bradd Mendoza-Guido, Ernesto Alfaro-Arrieta, Pablo Rivera-Navarro, Kenia Barrantes, Luz Chacón","doi":"10.2166/wh.2026.197","DOIUrl":"10.2166/wh.2026.197","url":null,"abstract":"Wastewater surveillance is a valuable tool to track viral circulation in populations; however, its application in tropical settings remains limited. In this study, we implemented a year-round wastewater surveillance program in a great metropolitan area of Costa Rica to assess its feasibility and epidemiological utility. Four major enteric viruses: rotavirus (RoV), norovirus genogroups I (NVG1) and II (NVG2), and pan-enterovirus (PEV), were quantified by RT-qPCR in the effluent of the country's main wastewater treatment plant. Weighted Quantile Sum regression was applied to compare the mixture of viruses detected with reported diarrhoea cases during the study period (June 2023- July 2024). NVG2 was the most frequently detected virus, while RoV and PEV peaked during the rainy season. The WQS mixture index showed no significant association with weekly case counts at any lag (RR 0.928-1.091; all p > 0.05). Component weights varied by model, and the rainy season was the only factor significantly associated with higher case counts (RR = 1.42, p = 0.012). These findings demonstrate that wastewater surveillance is feasible in tropical contexts and can provide complementary insights to traditional systems, although temporal and seasonal structure strongly modulate observed associations.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"387-401"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574835","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Molecular detection and characterization of rotavirus A in wastewater from Morogoro, Tanzania. 坦桑尼亚莫罗戈罗市废水中A型轮状病毒的分子检测和特性分析。

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-02-18 DOI: 10.2166/wh.2026.127

Alice Syomiti Kilonzi, Fredrick M Musila, Joseph J Malakalinga, Jean N Hakizimana, Augustino Chengula, Gerald Misinzo

{"title":"Molecular detection and characterization of rotavirus A in wastewater from Morogoro, Tanzania.","authors":"Alice Syomiti Kilonzi, Fredrick M Musila, Joseph J Malakalinga, Jean N Hakizimana, Augustino Chengula, Gerald Misinzo","doi":"10.2166/wh.2026.127","DOIUrl":"10.2166/wh.2026.127","url":null,"abstract":"Rotavirus A (RVA) remains a leading cause of acute gastroenteritis in infants and young children globally. In Tanzania, RVA accounts for over 36% diarrhea related deaths and one-third hospitalizations in children. Despite the introduction of the Rotarix® vaccine in 2013, rotavirus-associated morbidity remains high particularly in areas with poor sanitation. This cross-sectional study aimed to detect and characterize rotavirus in samples collected from three wastewater treatment plants in Morogoro, Tanzania to monitor RVA circulation. A total of 189 grab samples were collected weekly between November 2024 and February 2025. Samples were pooled by site, yielding 93 pooled samples, and processed for RVA detection using reverse transcription polymerase chain reaction (RT-PCR) targeting VP4 and VP7 genes, followed by Sanger sequencing and phylogenetic analysis. RVA was detected in 8.6% (n=93) of the pooled samples: 16.1% in Mafisa, 9.7% in Mzumbe, and 0% in Magadu (p=0.074). Genotyping identified G3 and P [8] as predominant RVA genotypes, clustering within lineage III and showing ≥97.5% nucleotide identity with known RVA strains. This study confirms the presence of rotavirus A G3P [8] genotypes in wastewater influent in Morogoro, Tanzania. The study highlights the utility of wastewater surveillance as a complementary tool for monitoring rotavirus circulation.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"335-348"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574843","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Erratum: J Water Health 1 February 2026; 24 (2): 189-203. Silver tungstate/magnesium oxide nanocomposite as a high-performance adsorbent for bromide removal from aqueous systems. Awaad H. A. Aboterika, Osamah M. A. Shahlol, Ayman H. Kamel, Hazem A. Ghabbour, Abdulrahman A. Almehizia, Ahmed M. Naglah. https://dx.doi.org/10.2166/wh.2026.187. 勘误：J水健康1二月2026；24(2): 189-203。钨酸银/氧化镁纳米复合材料去除水中溴化物的性能研究。Awaad H. A. Aboterika, Osamah M. A. Shahlol, Ayman H. Kamel, Hazem A. Ghabbour, Abdulrahman A. Almehizia, Ahmed M. Naglah。https://dx.doi.org/10.2166/wh.2026.187。

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 DOI: 10.2166/wh.2026.057

引用次数: 0

Socioecological drivers and dimensions of household water insecurity among people with HIV in the Lake Victoria region, Kenya. 肯尼亚维多利亚湖地区艾滋病毒感染者家庭用水不安全的社会生态驱动因素和维度。

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-03-04 DOI: 10.2166/wh.2026.273

Jacquelyne Jascinter Odak, Pamela Murnane, Louisa N Ndunyu, Peter Omemo, Bernard K Rono, Elizabeth A Bukusi, Craig R Cohen, Sheri D Weiser

{"title":"Socioecological drivers and dimensions of household water insecurity among people with HIV in the Lake Victoria region, Kenya.","authors":"Jacquelyne Jascinter Odak, Pamela Murnane, Louisa N Ndunyu, Peter Omemo, Bernard K Rono, Elizabeth A Bukusi, Craig R Cohen, Sheri D Weiser","doi":"10.2166/wh.2026.273","DOIUrl":"10.2166/wh.2026.273","url":null,"abstract":"Despite progress in HIV management, resource insecurities continue to threaten the gains of antiretroviral therapy among people with HIV in resource-limited settings. Water insecurity, common in areas with high HIV burden, remains an underexplored barrier to optimal HIV care. This study assessed socioecological drivers and dimensions as determinants of water insecurity among 434 adults with HIV receiving care in public hospitals in a high HIV prevalence region of western Kenya. We used the 12-item Household Water Insecurity Experiences Scale and found a water insecurity prevalence of 64.3% among participants, with 22.4% having severe water insecurity (score ≥24). Drought (96.8%), poverty (90.3%), and poor infrastructure (90.1%) were frequently cited drivers, while affordability (82.4%), flooding (85.4%), and microbial contamination (75.7%) were common dimensions. Female participants had nearly four-fold higher odds of water insecurity (AOR = 3.65, 95% CI: 2.02-6.58), and temporary housing structures (AOR = 3.10, 95% CI: 1.75-5.51) and larger households (AOR = 1.23 per additional person, 95% CI: 1.09-1.39) further increased vulnerability. Water contamination and distant sources were also independent predictors. Water insecurity among PWH in Kisumu County is severe, multidimensional, and gendered, demanding integrated, multisectoral, and climate-resilient interventions within HIV care.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"446-459"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574848","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

A dual-branch deep learning framework for tiered early warning of COVID-19 utilizing wastewater data. 利用废水数据分层预警COVID-19的双分支深度学习框架。

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-01-21 DOI: 10.2166/wh.2026.150

Xiaoqiang Li, Changqian Wu, Jingyi Jiang, Shufan Wu, Cheng Zhu, Minhui Yang, Zhiyong Chen, Xiaoyue Chen, Lifeng Tan

{"title":"A dual-branch deep learning framework for tiered early warning of COVID-19 utilizing wastewater data.","authors":"Xiaoqiang Li, Changqian Wu, Jingyi Jiang, Shufan Wu, Cheng Zhu, Minhui Yang, Zhiyong Chen, Xiaoyue Chen, Lifeng Tan","doi":"10.2166/wh.2026.150","DOIUrl":"10.2166/wh.2026.150","url":null,"abstract":"Background: Wastewater offers earlier, population-level signals, yet few models integrate environmental drivers for reliable routine COVID-19 alerts. We hypothesized that combining wastewater and environmental covariates in a dual-branch deep model leveraging FFT would improve forecasting and alerting.Methods: Using weekly wastewater, meteorological, and case data from Changzhou, China (Jan 29-Dec 10, 2024), we developed a framework that forecasts case trajectories and triggers tiered yellow/red alerts at predefined thresholds.Results: On 2-week-ahead internal tests, performance was: RMSE 1.40 (1.13-1.67), MAE 1.23 (0.99-1.48), MAPE 10.44% (5.20-16.40), and R2 0.99 (0.99-0.99). On an external test, both yellow and red alerts were correctly predicted 3 weeks ahead. Versus a naive baseline and the COVID-19 Forecast Hub model, our approach reduced missed alerts, whereas the Forecast Hub model reduced false declarations. Ablation showed necessity of the dual-branch architecture and covariates.Conclusions: The novel framework delivers accurate, timely forecasts and reliable early warnings from multi-source data, supporting proactive public health response to COVID-19. It may also be a promising approach for the prediction of other infectious diseases. However, validating and adapting the approach across locations, and epidemic patterns is a key next step to establish robustness, generalizability, and operational value.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"349-366"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574826","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Groundwater hydrochemistry and water quality assessment in the traditional irrigation region, China. 中国传统灌区地下水水化学与水质评价

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-02-18 DOI: 10.2166/wh.2026.180

Wenli Li, Yuan Zhao, Xubo He, Meimei Zhao, Yamin Wu, Lili Lu, Bin Zhao, Jie Chen

{"title":"Groundwater hydrochemistry and water quality assessment in the traditional irrigation region, China.","authors":"Wenli Li, Yuan Zhao, Xubo He, Meimei Zhao, Yamin Wu, Lili Lu, Bin Zhao, Jie Chen","doi":"10.2166/wh.2026.180","DOIUrl":"10.2166/wh.2026.180","url":null,"abstract":"Groundwater underpins social development and public health. The threat is most acute in arid and semi-arid regions, such as Northwest China, where rising demand and environmental degradation intensify water stress. This study conducts a comprehensive investigation into the hydrochemical evolution mechanisms and groundwater quality in the Guanzhong Basin, Northwest China. The results show that the ionic dominance sequence is Na+ > Ca2+ > Mg2+ > K+ for cations and HCO3- > SO42- > Cl- for anions. Water-rock interactions - including dissolution of halite, gypsum, and dolomite - dominate groundwater chemical evolution. However, in northern aquifers, evaporative concentration and anthropogenic pollution are prominent, as indicated by significant correlations among Cl-, NO3-, and TDS. According to the entropy-weighted TOPSIS assessment, 22% of samples were classified as poor to extremely poor quality (C = 0.004-0.359), mainly distributed in Fuping and Pucheng counties due to elevated levels of TH, TDS, Na+, SO42-, Cl-, and F-. The Nitrate Pollution Index results further reveal that 25% of samples experience moderate to extreme pollution, with significantly higher levels in the northern part of the basin. These findings highlight the dominant impact of human activities on groundwater quality in the northern region, supporting zonation-based strategies for groundwater sustainability.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"367-386"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574812","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lead in Newark drinking water: a successful community-driven data collection and academic-community partnership. 引领纽瓦克饮用水：一个成功的社区驱动的数据收集和学术社区伙伴关系。

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-02-11 DOI: 10.2166/wh.2026.070

Sean Stratton, Adrienne S Ettinger, Anthony D Diaz, Bavisha Kalyan, Cathleen Doherty, Brian T Buckley, Zorimar Rivera-Núñez

{"title":"Lead in Newark drinking water: a successful community-driven data collection and academic-community partnership.","authors":"Sean Stratton, Adrienne S Ettinger, Anthony D Diaz, Bavisha Kalyan, Cathleen Doherty, Brian T Buckley, Zorimar Rivera-Núñez","doi":"10.2166/wh.2026.070","DOIUrl":"10.2166/wh.2026.070","url":null,"abstract":"From 2017 to 2019, Newark, NJ exceeded the federal action level for lead in drinking water of 15 μg/L. We established an academic-community partnership to address residents' concerns. We distributed 500 tap water sampling kits to residents with instructions on how to collect three sequential samples: first draw, and after 1 and 5 min of flushing the tap. Thirty-three percent (N = 165) of kits were returned and 411 samples analyzed. Lead was detected in all water samples (range: 0.01-685 μg/L). Thirty-seven percent of homes had at least one sample >1 μg/L; 17% had at least one sample >5 μg/L. The 90th percentile of lead for first draw, and after 1- and 5-min flush, were, respectively: 12.5, 7.96, and 4.51 μg/L. After a 5-min flush, only 25% of homes with first draw samples >1 µg/L were reduced to ≤1 µg/L, and 17% of homes with first draw samples above 5 μg/L were reduced to below 5 μg/L, fewer of those (16%) were reduced to <1 μg/L. Using a community science approach, we responded to residents' concerns about lead in drinking water. Additionally, we observed that common public health tap water flushing recommendations do not fully protect residents from lead in drinking water.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"313-323"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574805","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Health risk assessment of perfluorinated compounds in the drinking water of a watershed located in northwest China in 2024: a cross-sectional study. 2024年西北某流域饮用水中全氟化合物健康风险评价——横断面研究

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-02-10 DOI: 10.2166/wh.2026.076

Wenting Yang, Rong Hai, Qin Lin, Shujie Chen, Ling Zhang, Li Ning, Jie Li

引用次数: 0

Cash transfers and household water security among the poor in low- and middle-income countries: a scoping review. 低收入和中等收入国家穷人的现金转移支付和家庭用水安全：范围审查。

IF 2.4 4区环境科学与生态学

Journal of water and health Pub Date : 2026-03-01 Epub Date: 2026-02-19 DOI: 10.2166/wh.2026.387

Urbanus Wedaaba Azupogo, Irenius Konkor, Elijah Bisung, Sarah Dickin

{"title":"Cash transfers and household water security among the poor in low- and middle-income countries: a scoping review.","authors":"Urbanus Wedaaba Azupogo, Irenius Konkor, Elijah Bisung, Sarah Dickin","doi":"10.2166/wh.2026.387","DOIUrl":"10.2166/wh.2026.387","url":null,"abstract":"Social protection programs (SPPs) like cash transfers (CTs) have the potential to reduce water poverty and enhance water security by targeting poor households with financial support to improve access to water, sanitation, and hygiene (WASH) services in low- and middle-income countries (LMICs). However, there is limited understanding of the relationship between CT and water security. This scoping review provides a synthesis of the existing literature on the linkages between CT and household water security in LMICs. We identified and reviewed eight peer-reviewed studies that met the inclusion criteria after searching multiple databases: EMBASE, MEDLINE, CINAHL via EBSCOHost, PubMed, and Global Health. The review revealed that there are positive linkages between CT and water security at the household level through capacity building and behaviour change, economic empowerment, and facilitating social capital and communal activities. While further research is necessary to enhance the existing evidence on the linkages between SPPs and household water security, our findings lay a strong foundation and offer pathways for building SPPs that strengthen water security interventions and outcomes in resource-poor settings. These findings could also aid practitioners in developing SPPs and WASH policies that promote the welfare and well-being of marginalised groups and individuals in LMICs.","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"301-312"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574785","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"环境科学与生态学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0