The DOI matches its Crossref record; 86 of the 86 references it cites were found in a registry or an index.
Antimicrobial Resistance Monitoring of Water Environments: A Framework for Standardized Methods and Quality Control
Open accessAbstract
Antimicrobial resistance (AMR) is a grand societal challenge with important dimensions in the water environment that contribute to its evolution and spread. Environmental monitoring could provide vital information for mitigating the spread of AMR; this includes assessing antibiotic resistance genes (ARGs) circulating among human populations, identifying key hotspots for evolution and dissemination of resistance, informing epidemiological and human health risk assessment models, and quantifying removal efficiencies by domestic wastewater infrastructure. However, standardized methods for monitoring AMR in the water environment will be vital to producing the comparable data sets needed to address such questions. Here we sought to establish scientific consensus on a framework for such standardization, evaluating the state of the science and practice of AMR monitoring of wastewater, recycled water, and surface water, through a literature review, survey, and workshop leveraging the expertise of academic, governmental, consulting, and water utility professionals.
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Emerging contaminants: A One Health perspective
Wang, F., Xiang, L., Sze-Yin Leung, K., Elsner, M., Zhang, Y., Guo, Y., Pan, B., Sun, H., An, T., Ying, G., et al. (2024) · The Innovation · doi:10.1016/j.xinn.2024.100612 · Cited by 639
Coque, T. M., Cantón, R., Pérez-Cobas, A. E., Fernández-de-Bobadilla, M. D., & Baquero, F. (2023) · Microorganisms · doi:10.3390/microorganisms11041050 · Cited by 258
Metadata
- Authors
- Liguori, K., Keenum, I., Davis, B. C., Calarco, J., Milligan, E., Harwood, V. J., & Pruden, A.
- Venue
- Environmental Science & Technology
- Publisher
- American Chemical Society (ACS)
- Published
- 2022-06-22
- Volume
- 56
- Issue
- 13
- Pages
- 9149-9160
- ISSN
- 0013-936X (ISSN-L)
- 1520-5851
- OpenAlex
- W4283317598
- Cited by
- 294
- References
- 86
- FWCI
- 10.92
- Type
- journal article
- Language
- en
- Open access
- hybrid
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- Liguori, K., Keenum, I., Davis, B. C., Calarco, J., Milligan, E., Harwood, V. J., & Pruden, A. (2022). Antimicrobial Resistance Monitoring of Water Environments: A Framework for Standardized Methods and Quality Control. Environmental Science & Technology. https://doi.org/10.1021/acs.est.1c08918
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
