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Petculescu I, Hynds P, Brown RS, McDermott K, Majury A. An investigation of microbial groundwater contamination seasonality and extreme weather event interruptions using "big data", time-series analyses, and unsupervised machine learning. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2025; 368:125790. [PMID: 39922413 DOI: 10.1016/j.envpol.2025.125790] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2024] [Revised: 01/29/2025] [Accepted: 02/01/2025] [Indexed: 02/10/2025]
Abstract
Temporal studies of groundwater potability have historically focused on E. coli detection rates, with non-E. coli coliforms (NEC) and microbial concentrations remaining understudied by comparison. Additionally, "big data" (i.e., large, diverse datasets that grow over time) have yet to be employed for assessing the effects of high return-period extreme weather events on groundwater quality. The current investigation employed ≈1.1 million Ontarian private well samples collected between 2010 and 2021, seeking to address these knowledge gaps via applying time-series decomposition, interrupted time-series analysis (ITSA), and unsupervised machine learning to five microbial contamination parameters: E. coli and NEC concentrations (CFU/100 mL) and detection rates (%), and the calculated NEC:E. coli ratio. Time-series decompositions revealed E. coli concentrations and the NEC:E. coli ratio as complementary metrics, with concurrent interpretation of their seasonal signals indicating that localized contamination mechanisms dominate during winter months. ITSA findings highlighted the importance of hydrogeological time lags: for example, a significant E. coli detection rate increase (2.4% vs 1.8%, p = 0.02) was identified 12 weeks after the May 2017 flood event. Unsupervised machine learning spatially classified annual contamination cycles across Ontarian subregions (n = 27), with the highest inter-cluster variability identified among E. coli detection rates and the lowest among NEC detection rates and the NEC:E. coli ratio. Given the spatiotemporal consistency identified for NEC and the NEC:E. coli ratio, associated interpretations and recommendations are likely transferable across large, heterogeneous regions. The presented study may serve as a methodological blueprint for future temporal investigations employing "big" groundwater quality data.
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Affiliation(s)
- Ioan Petculescu
- School of Environmental Studies, Queen's University, 99 University Ave, Kingston, ON, Canada.
| | - Paul Hynds
- Technological University Dublin, Park House, 191 N Circular Rd, Dublin, Ireland.
| | - R Stephen Brown
- School of Environmental Studies, Queen's University, 99 University Ave, Kingston, ON, Canada.
| | | | - Anna Majury
- School of Environmental Studies, Queen's University, 99 University Ave, Kingston, ON, Canada; Public Health Ontario, 181 Barrie St, Kingston, ON, Canada.
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Xu X, Meng L, Li J, Zhang Y, Liu B, Jiang W, Hao C. Analysis of the potentially pathogenic bacteria of lower respiratory tract infections in children per-, during and post-COVID-19: a retrospective study. Eur J Clin Microbiol Infect Dis 2025; 44:167-180. [PMID: 39556174 DOI: 10.1007/s10096-024-04991-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/30/2024] [Accepted: 11/07/2024] [Indexed: 11/19/2024]
Abstract
BACKGROUND The coronavirus disease 2019 (COVID-19) pandemic has caused significant changes in lower respiratory tract infections (LRTIs). This study aimed to characterize potentially pathogenic bacterial infections in paediatric patients hospitalized for LRTIs per-, during and post-COVID-19. METHODS Sputum culture data from 85,659 children with LRTIs at the Children's Hospital of Soochow University from January 2016 to May 2024 were analyzed for eight bacteria: Streptococcus pneumoniae, Haemophilus influenzae, Staphylococcus aureus, Moraxella catarrhalis, Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Acinetobacter baumannii. The data during the pandemic (2020-2022, during COVID-19) and after the pandemic (January 2023-May 2024, post-COVID-19) were compared with those before the pandemic (2016-2019). RESULTS Overall, 85,659 children with LRTIs were enrolled. Of these, 42,567 cases (49.7%) were diagnosed in the pre-COVID-19 period, 22,531 cases (26.3%) during the COVID-19 period and 20,561 cases (24.0%) in the post-COVID-19 period. The overall positive rate for pathogenic bacteria was 37.1%, with the top three being S. pneumoniae (14.5%), H. influenzae (12.1%) and S. aureus (6.5%). Compared to the average pre-COVID-19 levels, the bacterial pathogen positive rate decreased by 3.5% during the COVID-19 period (OR: 0.94, 95% CI: 0.91-0.98) and by 23.4% in the post-COVID-19 period (OR: 0.66, 95% CI: 0.64-0.69). During the COVID-19 period, the positive rates for S. pneumoniae, H. influenzae, E. coli, K. pneumoniae and mixed infections decreased by 11.7%, 35.3%, 22.2%, 33.3% and 45.7% respectively, while the positive rates for S. aureus, M. catarrhalis and P. aeruginosa increased by 21.7%, 44.7% and 25% respectively. In the post-COVID-19 period, the positive rates for S. pneumoniae, H. influenzae, E. coli, P. aeruginosa, K. pneumoniae, A. baumannii and mixed infections decreased by 50.0%, 7.4%, 22.2%, 50.0%, 44.4%, 60.0% and 32.6% respectively, while there was no statistical change in the positive rates for S. aureus and M. catarrhalis. Bacteria case detection decreases in 2020 (67.0%), 2021 (60.5%), 2022 (76.3%) and 2023 (72.7%) compared to predicted cases. CONCLUSIONS Measures to restrict COVID-19 as a driver of declining bacterial positive rates. Respiratory bacteria in children are change across COVID-19 phases, age groups and seasons. After COVID-19, clinicians should continue to increase surveillance for pathogenic bacteria, especially drug-resistant flora.
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Affiliation(s)
- Xuena Xu
- Department of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China
| | - Lingjian Meng
- Department of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China
- Department of Pediatrics, Xuzhou Medical University Affiliated Hospital, Xuzhou, China
| | - Jiaoyang Li
- Department of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China
| | - Yizhu Zhang
- Department of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China
| | - Bingjie Liu
- Department of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China
| | - Wujun Jiang
- Department of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China.
| | - Chuangli Hao
- Department of Respiratory Medicine, Children's Hospital of Soochow University, Suzhou, China.
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Mooney S, Lavallee S, O'Dwyer J, Majury A, O'Neill E, Hynds PD. Private groundwater contamination and risk management: A comparative scoping review of similarities, drivers and challenges across two socio-economically developed regions. THE SCIENCE OF THE TOTAL ENVIRONMENT 2024; 922:171112. [PMID: 38387579 DOI: 10.1016/j.scitotenv.2024.171112] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/10/2023] [Revised: 02/13/2024] [Accepted: 02/18/2024] [Indexed: 02/24/2024]
Abstract
Consolidation of multi-domain risk management research is essential for strategies facilitating the concerted government (educational) and population-level (behavioural) actions required to reduce microbial private groundwater contamination. However, few studies to date have synthesised this literature or sought to ascertain the causal generality and extent of supply contamination and preventive responses. In light of the Republic of Ireland (ROI) and Ontario's high reliance and research focus on private wells and consequent utility for empirical comparison, a scoping review of pertinent literature (1990-2022) from both regions was undertaken. The SPICE (Setting, Perspective, Intervention, Comparison, Evaluation) method was employed to inform literature searches, with Scopus and Web of Science selected as primary databases for article identification. The review identified 65 relevant articles (Ontario = 34, ROI = 31), with those investigating well user actions (n = 22) and groundwater quality (n = 28) the most frequent. A markedly higher pooled proportion of private supplies in the ROI exhibited microbial contamination (38.3 % vs. 4.1 %), despite interregional similarities in contamination drivers (e.g., weather, physical supply characteristics). While Ontarian well users demonstrated higher rates of historical (≥ 1) and annual well testing (90.6 % vs. 71.1 %; 39.1 % vs. 8.6 %) and higher rates of historical well treatment (42.3 % vs. 24.3 %), interregional levels of general supply knowledge were analogous (70.7 % vs. 71.0 %). Financial cost, organoleptic properties and residence on property during supply construction emerged as predictors of cognition and behaviour in both regions. Review findings suggest broad interregional similarities in drivers of supply contamination and individual-level risk mitigation, indicating that divergence in contamination rates may be attributable to policy discrepancies - particularly well testing incentivisation. The paucity of identified intervention-oriented studies further highlights the importance of renewed research and policy agendas for improved, targeted well user outreach and incentivised, convenience-based services promoting routine supply maintenance.
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Affiliation(s)
- S Mooney
- School of Architecture, Planning & Environmental Policy, University College Dublin, Ireland.
| | - S Lavallee
- Center for Tobacco and the Environment, San Diego State University, San Diego, CA, United States
| | - J O'Dwyer
- School of Biological, Earth and Environmental Sciences, University College Cork, Cork, Ireland; Environmental Research Institute, University of Cork, Cork, Ireland; Irish Centre for Research in Applied Geosciences (iCRAG), University College Dublin, Dublin, Ireland
| | - A Majury
- School of Environmental Studies, Queen's University, Kingston, Ontario, Canada; Public Health Ontario, Kingston, Ontario, Canada
| | - E O'Neill
- School of Architecture, Planning & Environmental Policy, University College Dublin, Ireland; UCD Earth Institute, University College Dublin, Belfield, Dublin 4, Ireland
| | - P D Hynds
- Irish Centre for Research in Applied Geosciences (iCRAG), University College Dublin, Dublin, Ireland; Environmental Sustainability & Health Institute, Technological University Dublin, Dublin, Ireland
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Burke LP, Chique C, Fitzhenry K, Chueiri A, O'Connor L, Hooban B, Cahill N, Brosnan E, Olaore L, Sullivan E, Reilly L, Morris D, Hynds P, O'Dwyer J. Characterization of Shiga toxin-producing Escherichia coli presence, serogroups and risk factors from private groundwater sources in western Ireland. THE SCIENCE OF THE TOTAL ENVIRONMENT 2023; 866:161302. [PMID: 36592918 DOI: 10.1016/j.scitotenv.2022.161302] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/14/2022] [Accepted: 12/27/2022] [Indexed: 06/17/2023]
Abstract
Over recent years, Ireland has reported the highest crude incidence rates of Shiga toxin-producing Escherichia coli (STEC) enteritis in Europe. Unregulated private groundwater sources have emerged as an important potential transmission route for STEC, with up to 750,000 Irish residents reliant on these sources for domestic waters. This study aimed to investigate the prevalence and serogroup profile of STEC contamination from domestic private wells in western Ireland. Fifty-two groundwater sources were analysed during two sampling campaigns in the autumn (September/October) of 2019 (n = 21) and 2021 (n = 31). Untreated groundwater samples (30 L) were collected and analysed using the "CapE" (capture, amplify, extract) method. Extracted DNA was tested using multiplex real-time PCR for Shiga toxin stx1 and/or stx2 and eae genes. STEC positive DNA samples were tested for clinically relevant serogroups by real-time PCR. Data relating to 27 potential groundwater contamination risk factors were geospatially linked to each well and assessed for association with E. coli, stx1 and/or stx2 and eae presence/absence. Overall, 20/52 wells (38.4 %) were positive for E. coli (median concentration 8.5 MPN/100 mL as assessed by Colilert-18 method). Stx1 and/or stx2 was detected in 10/52 (19.2 %) wells overall and 8/20 E. coli positive wells, equating to a STEC to "generic" E. coli detection ratio of 40 %. Six of these wells (30 %) were also positive for eae. One or more serogroup-specific gene targets were identified in all but one stx1 and/or stx2 positive sample, with O145 (n = 6), O157 (n = 5) and O103 (n = 4) most prevalent. STEC presence was significantly associated with decreasing well depth (U = -2.243; p = 0.024) and increasing 30-day mean antecedent rainfall (U = 2.126; p = 0.034). Serogroup O104 was associated with increased sheep density (U = 2.089; p = 0.044) and detection of stx1 and/or stx2 + eae with increased septic tank density (U = 2.246 p = 0.023). Findings indicate high detection rates of clinically relevant STEC in E. coli contaminated groundwater sources in Ireland.
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Affiliation(s)
- Liam Patrick Burke
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland.
| | - Carlos Chique
- School of Biological, Earth and Environmental Science (BEES), University College Cork, Cork, Ireland; Environmental Research Institute, University College Cork, Cork, Ireland
| | - Kelly Fitzhenry
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Alexandra Chueiri
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Louise O'Connor
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Brigid Hooban
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Niamh Cahill
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Ellen Brosnan
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Lateefat Olaore
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Emma Sullivan
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Louise Reilly
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Dearbháile Morris
- Antimicrobial Resistance and Microbial Ecology Group, School of Medicine, University of Galway, Galway, Ireland; Centre for One Health, Ryan Institute, University of Galway, Galway, Ireland
| | - Paul Hynds
- Irish Centre for Research in Applied Geosciences, University College Dublin, Dublin, Ireland; Environmental Sustainability and Health Institute (ESHI), Technological University Dublin, Ireland
| | - Jean O'Dwyer
- School of Biological, Earth and Environmental Science (BEES), University College Cork, Cork, Ireland; Environmental Research Institute, University College Cork, Cork, Ireland; Irish Centre for Research in Applied Geosciences, University College Dublin, Dublin, Ireland
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O'Neill HS, Flanagan SV, Gleason JA, Spayd SE, Schwartz RI, Procopio NA. Targeted Private Well Outreach Following a Change in Drinking Water Standard: Arsenic and the New Jersey Private Well Testing Act. JOURNAL OF PUBLIC HEALTH MANAGEMENT AND PRACTICE 2023; 29:E29-E36. [PMID: 36070573 PMCID: PMC9712494 DOI: 10.1097/phh.0000000000001575] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/04/2023]
Abstract
CONTEXT When the New Jersey Private Well Testing Act (PWTA) became effective in 2002, the maximum contaminant level (MCL) for arsenic in the United States was 50 μg/L. In 2006, the federal and New Jersey MCLs were lowered to 10 μg/L and 5 μg/L, respectively. OBJECTIVE To notify and provide free arsenic water testing for homeowners who had a PWTA arsenic result that passed for the MCL in 2006 or earlier but would exceed under the more health protective MCL enacted in 2006, which is still in effect as of this publication date. DESIGN About 1200 homeowners with PWTA arsenic results between 5 μg/L and 50 μg/L were offered free arsenic water testing. More than 400 homeowners requested tests and 292 returned samples. SETTING New Jersey, United States. PARTICIPANTS Homeowners with a passing PWTA arsenic result before 2006 that would have failed under the New Jersey arsenic MCL enacted in 2006. MAIN OUTCOME MEASURES Return rate of testing kits; number of tests exceeding arsenic MCL; and participant survey results. RESULTS Untreated well water samples (n = 279) were collected and 62.4% exceeded the New Jersey MCL. Treated well water samples (n = 102) were collected and 11.8% exceeded the current New Jersey MCL. In all, about 40% of drinking water samples from the tap, including those with or with no arsenic treatment, exceeded the New Jersey MCL. A survey of participants (n = 69) found that although many (67%) respondents reported that they at least had some idea that wells in their area are vulnerable to naturally occurring contaminants, such as arsenic, many (68%) reported that they had little or no idea that the New Jersey arsenic MCL had been lowered from 50 μg/L to 5 μg/L in 2006. CONCLUSIONS This effort further illuminates the necessity and significance of public health outreach for private well water users, especially after drinking water standards change.
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Affiliation(s)
- Heidi S O'Neill
- New Jersey Department of Environmental Protection, Trenton, New Jersey (Ms O'Neill and Drs Spayd [retired] and Procopio); Lamont-Doherty Earth Observatory, Columbia University, Palisades, New York (Dr Flanagan); New Jersey Department of Health, Trenton, New Jersey (Mss Gleason and Schwartz); and Diagnosis Water, LLC, Montgomeryville, Pennsylvania (Dr Spayd)
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