Stable spatial patterns of concentrations of antibiotic resistant bacteria in irrigation water DOI Creative Commons
Matthew Stocker, Jaclyn E. Smith,

Billie Morgan

et al.

ENVIRONMENTAL SYSTEMS RESEARCH, Journal Year: 2024, Volume and Issue: 13(1)

Published: Nov. 29, 2024

Abstract Irrigation waters serve as vectors for the spread of antibiotic-resistant bacteria which presents a worldwide health concern. Determining concentrations those in used irrigation is therefore an important monitoring target. The objective this work was to determine existence persistent spatial patterns waterbody and compare with water quality parameters. Escherichia coli , total coliforms, heterotrophic were measured samples collected from 20 sites across on nine sampling dates. Empirical Orthogonal Function (EOF) analysis detect tetracycline- cefotaxime-resistant well average both generic order magnitude higher bank than interior sites. From EOF results, locations identified could provide best estimates each bacterial group. Patterns temperature (r s = -0.638 -0.749), dissolved oxygen -0.173 -0.675), pH -0.483 -0.770) showed strongest negative correlations while all other tended be positively correlated. Results show that can powerful tool design effective programs assess antibiotic resistance by identifying are closest spatiotemporal average.

Language: Английский

Innovative solutions for global water quality challenges: insights from a collaborative hackathon event DOI Creative Commons
I. V. Chernov,

Melchior Elsler,

Thomas Maillart

et al.

Frontiers in Water, Journal Year: 2024, Volume and Issue: 6

Published: April 15, 2024

Addressing the global water quality challenges requires collaborative efforts, multidisciplinary approaches, and innovative solutions. Here we report on success of a special collective intelligence “hackathon event,” organized by five United Nations agencies European Commission, with aim reinventing engagement diverse experts stakeholders to tackle real-world in monitoring assessment. Participants from backgrounds regions convened devise inventive solutions four key challenge areas, including (1) transformation data into stewardship action, (2) empowering citizen scientists improve quality, (3) incorporation Indigenous communities their knowledge information systems, (4) routine antimicrobial resistance water. The hackathon approach fosters safe, creative environment, enabling participants harness knowledge, expertise skills. Key outcomes were conceptualizing practical frameworks tailored toolboxes for innovations monitoring, empower communities, support policy-making. Emphasis was placed purpose value interdisciplinary collaborations address complex challenges, showcasing synergies between technology, environmental science, social engagement. Hackathons are catalysts innovation which unlock future endeavors harnessing safeguard our most precious resource –

Language: Английский

Citations

5
Comprehensive toxicity assessment of selected pharmaceuticals (ciprofloxacin, amoxicillin, and levofloxacin) on freshwater microalgae Scenedesmus obliquus : effect of media composition DOI Creative Commons
Sujit Mandal, Camil Rex M, Bikramjit Bhattacharya

et al.

Environmental Pollutants and Bioavailability, Journal Year: 2025, Volume and Issue: 37(1)

Published: Feb. 6, 2025

Antibiotics are widely used in health care to treat various infections. Excessive use and poor waste management make antibiotics a serious threat aquatic ecosystems. Most of the ecotoxicological assessments on freshwater microalgae evaluated defined culture medium, which lacks environmental relevance. Hence, this study aimed evaluate toxicity amoxicillin, ciprofloxacin, levofloxacin microalga Scenedesmus obliquus both lake water medium (LWM) Blue green-11 (BG-11 M). Results indicated that exhibited highest toxicity, followed by amoxicillin ciprofloxacin LWM BG-11 M. Pearson correlation cluster heat map analyses revealed oxidative stress generation was directly linked reduced photosynthetic activity cell viability. These findings suggest conducted media may modulate levels compared environmentally relevant media, like water.

Language: Английский

Citations

0
Wastewater based genomic surveillance key to population level monitoring of AmpC/ESBL producing Escherichia coli DOI Creative Commons
Ahmad Ibrahim Al‐Mustapha, Ananda Tiwari, Riikka Laukkanen‐Ninios

et al.

Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)

Published: March 3, 2025

Language: Английский

Citations

0
Modeling solutions for microbial water contamination in the global south for public health protection DOI Creative Commons
Sylvester Chibueze Izah, Matthew Chidozie Ogwu

Frontiers in Microbiology, Journal Year: 2025, Volume and Issue: 16

Published: April 2, 2025

Microbial contamination of water sources is a pressing global challenge, disproportionately affecting developing regions with inadequate infrastructure and limited access to safe drinking water. In the Global South, waterborne pathogens such as bacteria, viruses, protozoa, helminths contribute diseases like cholera, dysentery, typhoid fever, resulting in severe public health burdens. Predictive modeling emerges pivotal tool addressing these challenges, offering data-driven insights anticipate events optimize mitigation strategies. This review highlights application predictive techniques-including machine learning, hydrological simulations, quantitative microbial risk assessment -to identify hotspots, forecast pathogen dynamics, inform resource allocation South. models enable targeted actions improve safety lower prevalence by combining environmental, socioeconomic, climatic factors. Water resources South are increasingly vulnerability contamination, challenge exacerbated rapid urbanization, climate variability, insufficient sanitation infrastructure. underscores importance region-specific approaches. Case studies from sub-Saharan Africa Asia demonstrated efficacy tools guiding connected environmental matrices, prioritizing treatment efforts implementing early-warning systems during extreme weather events. Furthermore, explores integrating advanced technologies, remote sensing artificial intelligence, into frameworks, highlighting their potential accuracy scalability resource-constrained settings. Increased funding for data collecting, tools, cross-sectoral cooperation between local communities, non-governmental organizations, governments all recommended review. Such critical resilient capable withstanding stressors ensuring sustainable By leveraging core component management strategies, stakeholders can address challenges effectively, safeguard health, achieving United Nations' Sustainable Development Goals.

Language: Английский

Citations

0
Two decades of heavy metal fluctuations in wastewater sludge in Lithuania with evolving trends and implications for treatment efficiency DOI

Piotr Jachimowicz,

Algirdas Radzevičius, Petra Wojnarová

et al.

Journal of Geochemical Exploration, Journal Year: 2024, Volume and Issue: unknown, P. 107642 - 107642

Published: Nov. 1, 2024

Language: Английский

Citations

3
Stable spatial patterns of concentrations of antibiotic resistant bacteria in irrigation water DOI Creative Commons
Matthew Stocker, Jaclyn E. Smith,

Billie Morgan

et al.

ENVIRONMENTAL SYSTEMS RESEARCH, Journal Year: 2024, Volume and Issue: 13(1)

Published: Nov. 29, 2024

Abstract Irrigation waters serve as vectors for the spread of antibiotic-resistant bacteria which presents a worldwide health concern. Determining concentrations those in used irrigation is therefore an important monitoring target. The objective this work was to determine existence persistent spatial patterns waterbody and compare with water quality parameters. Escherichia coli , total coliforms, heterotrophic were measured samples collected from 20 sites across on nine sampling dates. Empirical Orthogonal Function (EOF) analysis detect tetracycline- cefotaxime-resistant well average both generic order magnitude higher bank than interior sites. From EOF results, locations identified could provide best estimates each bacterial group. Patterns temperature (r s = -0.638 -0.749), dissolved oxygen -0.173 -0.675), pH -0.483 -0.770) showed strongest negative correlations while all other tended be positively correlated. Results show that can powerful tool design effective programs assess antibiotic resistance by identifying are closest spatiotemporal average.

Language: Английский

Citations

0