Abstract
Objectives: The coronavirus disease 2019 (COVID-19) pandemic impacted antimicrobial resistance (AMR) in clinical settings, but evidence is lacking. Considering this, we evaluated community-wide AMR in the shadow of COVID-19, using wastewater-based epidemiology (WBE). Methods: Five hundred ninety wastewater samples were collected from 4 contrasting communities in England between April 2020 and March 2022 to test for antibiotics used, their metabolites, and persistent antibiotic resistance genes (ARGs). Catchment-wide COVID-19 cases and antibiotic prescription data were triangulated with WBE data to evaluate the impact of the COVID-19 pandemic on changes in antibiotic use and resulting AMR at fine spatio-temporal resolution. Results: Observed reduction in antibiotic consumption and AMR prevalence during the COVID-19 pandemic (especially during lockdowns) is likely due to reduced social interactions rather than due to reduced antibiotic prescribing. Population-normalised daily intake and daily prescriptions showed an increase of 17.2% and 5.8%, respectively, in 2021 to 2022, in comparison to the previous pandemic year. Of the 17 antibiotics targeted, amoxicillin and clarithromycin were clearly affected by COVID-19 restrictions during the years 2020 to 2021 with an average of 31.5% (P < 0.01) and 13.5% (P < 0.05) lower usage, respectively, followed by an increase in 2021 to 2022. This has significant implications for practice and policy that currently focus on the reduction of antibiotics as the key risk factor in AMR. Conclusions: Better, more holistic strategies encompassing the One Health philosophy are needed to understand and act upon the AMR challenge.
Original language | English |
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Pages (from-to) | 256-263 |
Number of pages | 8 |
Journal | Journal of Global Antimicrobial Resistance |
Volume | 43 |
Early online date | 12 May 2025 |
DOIs | |
Publication status | E-pub ahead of print - 12 May 2025 |
Data Availability Statement
The source code, manuals and sample data are available for download from the GitHub repository https://github.com/PrAnaViz/PrAna for the calculation of the prescribed antibiotic quantity using raw data provided by the National Health Service.Funding
This study was funded by the Medical Research Council and Newton Fund through a UK-CHINA AMR Partnership Hub Award ( MR/S013717/1 ). The supports of EPSRC Impact Acceleration Account (EP/R51164X/1, ENTRUST IAA), Wessex Water Services Ltd. Innovative Pathway Control Project, and GCRF EWS-C19 (EP/V028499/1) are also greatly appreciated.
Funders | Funder number |
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Newton Fund | |
Medical Research Council | |
UK-CHINA | MR/S013717/1 |
Engineering and Physical Sciences Research Council | EP/R51164X/1 |
Wessex Water Services Ltd | GCRF EWS-C19, EP/V028499/1 |
Keywords
- Antibiotic prescription
- Antimicrobial resistance (AMR)
- Coronavirus disease 2019 pandemic (COVID-19)
- Lockdown
- One Health
- Wastewater-based epidemiology (WBE)
ASJC Scopus subject areas
- Microbiology
- Immunology and Allergy
- Immunology
- Microbiology (medical)