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":"https://doi.org/10.2166/wh.2026.212","url":null,"abstract":"<p><p>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 × 10<sup>10</sup> and 9.7 × 10<sup>8</sup> GC/g stool for norovirus and rotavirus, respectively. Average reported wastewater concentrations were 1.5 × 10<sup>7</sup> and 2.4 × 10<sup>7</sup> 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.</p>","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}
Gilbert Karngong Nfor, Simeon Chukwuemeka Enemuor, Kehinde Charles Mofolorunsho, Cornelius Arome Omatola, Olubunmi Marvelous Emurotu, Kingsley Chimaeze Mbara
{"title":"Water and food contamination with <i>Escherichia coli</i> pathotypes in the southwest region of Cameroon.","authors":"Gilbert Karngong Nfor, Simeon Chukwuemeka Enemuor, Kehinde Charles Mofolorunsho, Cornelius Arome Omatola, Olubunmi Marvelous Emurotu, Kingsley Chimaeze Mbara","doi":"10.2166/wh.2026.234","DOIUrl":"https://doi.org/10.2166/wh.2026.234","url":null,"abstract":"<p><p><i>Escherichia coli</i> remains a significant cause of waterborne and foodborne diseases in most developing countries. The study investigated the contamination of selected water and food sources with <i>E. coli</i> and its pathotypes in the region of Southwestern Cameroon. A total of 243 samples comprising water, lettuce, and beef hamburgers were obtained from different sources between January and May 2022. All samples were processed under standard microbiological procedures for the isolation of <i>E. coli</i> strains. Isolates were serotyped using an <i>E. coli</i> O157 latex agglutination kit, and <i>E. coli</i> specific pathotypes were characterized using PCR. Of 243 samples collected, <i>E. coli</i> was identified in 44 (18.1%), of which 22 (50.0%), 12 (27.3%), and 10 (22.7%) were from water, lettuce, and hamburger samples, respectively. However, the distribution of <i>E. coli</i> across the sample types did not differ significantly (<i>p</i> > 0.05). <i>E. coli</i> O157:H7 was detected in four of the 243 samples. The different pathotypes detected were EPEC (6/243, 2.5%), EHEC (4/243, 1.6%), and EHEC/EAEC hybrid (3/243, 1.2%). By identifying clinically relevant <i>E. coli</i> pathotypes in regional water, lettuce, and beef samples, this study exposes critical gaps in food safety hygiene and regulatory oversight in Southwest Cameroon.</p>","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"432-445"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574816","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}
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":"https://doi.org/10.2166/wh.2026.197","url":null,"abstract":"<p><p>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 <i>p</i> > 0.05). Component weights varied by model, and the rainy season was the only factor significantly associated with higher case counts (RR = 1.42, <i>p</i> = 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.</p>","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}
Taishi Yazawa, Serbelle Juanites, Krizia Magabilin Baring, Ravenmar Andres, Anna Mae Dela Peña, Princess Eden Macabata-Rubite
{"title":"Unequal water quality under decentralization: A case study of rural barangays in Antique, Philippines.","authors":"Taishi Yazawa, Serbelle Juanites, Krizia Magabilin Baring, Ravenmar Andres, Anna Mae Dela Peña, Princess Eden Macabata-Rubite","doi":"10.2166/wh.2026.211","DOIUrl":"https://doi.org/10.2166/wh.2026.211","url":null,"abstract":"<p><p>Ensuring access to safe drinking water remains a major challenge in many low- and middle-income countries, especially in decentralized rural settings. This study examined water quality variations across four remote barangays in Barbaza, Antique, Philippines, and investigated contributing geographic and demographic factors. A total of 232 tap, drinking, and well water samples were analyzed for temperature, pH, total dissolved solids (TDS), electrical conductivity (EC), and the presence of <i>Escherichia coli</i> and coliform. Significant differences in EC and TDS (<i>p</i> < 0.01) were observed, with Binangbang Centro, a barangay relying primarily on groundwater, showing the highest median values. <i>E. col</i>i was detected in 23.1% of well water samples, while coliform exceeded standards (<1 colony/100 mL) in up to 100% of tap and drinking water samples. Despite widespread reliance on refilling stations, over 70% of drinking water samples contained coliform, possibly associated with post-purchase handling and storage conditions. Gua, the most densely populated barangay, recorded the highest coliform levels in drinking water (median: 102 CFU/mL). The findings highlight the need for barangay-specific strategies combining infrastructure improvements, decentralized monitoring, and hygiene education. This study supports context-sensitive policies to enhance rural water safety and community resilience under decentralized governance.</p>","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"402-414"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574841","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}
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":"https://doi.org/10.2166/wh.2026.127","url":null,"abstract":"<p><p>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.</p>","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}
{"title":"Erratum: <i>J Water Health</i> 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.","authors":"","doi":"10.2166/wh.2026.057","DOIUrl":"https://doi.org/10.2166/wh.2026.057","url":null,"abstract":"","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"475"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574809","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}
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":"https://doi.org/10.2166/wh.2026.273","url":null,"abstract":"<p><p>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.</p>","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}
{"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":"https://doi.org/10.2166/wh.2026.150","url":null,"abstract":"<p><strong>Background: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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 <i>R</i><sup>2</sup> 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.</p><p><strong>Conclusions: </strong>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.</p>","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}
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":"https://doi.org/10.2166/wh.2026.180","url":null,"abstract":"<p><p>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<sup>+</sup> > Ca<sup>2+</sup> > Mg<sup>2+</sup> > K<sup>+</sup> for cations and HCO<sub>3</sub><sup>-</sup> > SO<sub>4</sub><sup>2-</sup> > Cl<sup>-</sup> 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<sup>-</sup>, NO<sub>3</sub><sup>-</sup>, and TDS. According to the entropy-weighted TOPSIS assessment, 22% of samples were classified as poor to extremely poor quality (<i>C</i> = 0.004-0.359), mainly distributed in Fuping and Pucheng counties due to elevated levels of TH, TDS, Na<sup>+</sup>, SO<sub>4</sub><sup>2-</sup>, Cl<sup>-</sup>, and F<sup>-</sup>. 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.</p>","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}
Wenting Yang, Rong Hai, Qin Lin, Shujie Chen, Ling Zhang, Li Ning, Jie Li
{"title":"Health risk assessment of perfluorinated compounds in the drinking water of a watershed located in northwest China in 2024: a cross-sectional study.","authors":"Wenting Yang, Rong Hai, Qin Lin, Shujie Chen, Ling Zhang, Li Ning, Jie Li","doi":"10.2166/wh.2026.076","DOIUrl":"https://doi.org/10.2166/wh.2026.076","url":null,"abstract":"<p><p>This study investigated per- and polyfluoroalkyl substances (PFASs) in drinking water from a watershed in Northwest China, assessed their detection status across different counties and cities, and evaluated associated health risks. Significant differences in detection rates were observed (P < 0.001). In downstream County C and City E, hazard quotient (HQ) values exceeded 1 for most demographic groups (except males aged 12-16), with HQ > 2 in males over 60. Perfluorobutanoic acid levels differed significantly by age (P < 0.001), while perfluoropentanoic acid varied by age and gender (P < 0.001). Downstream County C and City E showed relatively high health risks, whereas upstream County A and B posed negligible risks.</p>","PeriodicalId":17436,"journal":{"name":"Journal of water and health","volume":"24 3","pages":"324-334"},"PeriodicalIF":2.4,"publicationDate":"2026-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147574814","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}