Cited by 236Pharmaceutical and Antibiotic Environmental ImpactsAntibiotic Use and ResistanceAntibiotic Resistance in Bacteria

A conceptual framework for the environmental surveillance of antibiotics and antibiotic resistance

Open access
Huijbers, Patricia M.C., Flach, Carl-Fredrik, Larsson, D.G. Joakim·2019·Environment International

Abstract

Environmental surveillance of antibiotics and antibiotic resistance could contribute toward the protection of human, animal and ecosystem health. However, justification for the choice of markers and sampling sites that informs about different risk scenarios is often lacking. Here, we define five fundamentally different objectives for surveillance of antibiotics and antibiotic resistance in the environment. The first objective is (1) to address the risk of transmission of already antibiotic-resistant bacteria to humans via environmental routes. The second is (2) to address the risk for accelerating the evolution of antibiotic resistance in pathogens through pollution with selective agents and bacteria of human or animal origin. The third objective is (3) to address the risks antibiotics pose for aquatic and terrestrial ecosystem health, including the effects on ecosystem functions and services. The two final objectives overlap with those of traditional clinical surveillance, namely, to identify (4) the population-level resistance prevalence and (5) population-level antibiotic use. The latter two environmental surveillance objectives have particular potential in countries where traditional clinical surveillance data and antibiotic consumption data are scarce or absent. For each objective, the levels of evidence provided by different phenotypic and genotypic microbial surveillance markers, as well as antibiotic residues, are discussed and evaluated on a conceptual level. Furthermore, sites where monitoring would be particularly informative are identified. The proposed framework could be one of the starting points for guiding environmental monitoring and surveillance of antibiotics and antibiotic resistance on various spatiotemporal scales, as well as for harmonizing such activities with existing human and animal surveillance systems.

Integrity signals

Registry

Crossref · 10.1016/j.envint.2019.05.074

Cites

4 of 4 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Huijbers, P. M. C., Flach, C.-F., & Larsson, D. G. J.
Affiliations
University of Gothenburg (SE)
Corresponding author
Larsson, D.G. Joakim
Venue
Environment International
Publisher
Elsevier BV
Published
2019-09
Volume
130
Pages
104880
ISSN
0160-4120 (ISSN-L)
OpenAlex
W2949826334
Cited by
236
References
4
Citations by year
2026: 28 · 2025: 28 · 2024: 32 · 2023: 34 · 2022: 48 · 2021: 38 · 2020: 24 · 2019: 3
FWCI
8.46
Type
journal article
Language
en
Open access
Locations
  • Environment International (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
Funders
  • Vetenskapsrådet
  • Svenska Forskningsrådet Formas
  • Västra Götalandsregionen
Topics
  • Physical Sciences › Environmental Science › Pollution › Pharmaceutical and Antibiotic Environmental Impacts
  • Life Sciences › Immunology and Microbiology › Applied Microbiology and Biotechnology › Antibiotic Use and Resistance
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Medicine › Antibiotic Resistance in Bacteria
Keywords
environmental surveillance, antibiotics, antibiotic resistance, conceptual framework, transmission of resistant bacteria, antibiotic resistance evolution, ecosystem health, antibiotic residues, sampling sites, resistance prevalence, antibiotic use
MeSH terms
Animals, Anti-Bacterial Agents, Environmental Monitoring, Humans, Drug Resistance, Bacterial

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review