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Record W4406606448 · doi:10.1016/j.envint.2025.109294

Flies as carriers of antimicrobial resistant (AMR) bacteria in Nigerian hospitals: A workflow for surveillance of AMR bacteria carried by arthropod pests in hospital settings

2025· article· en· W4406606448 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEnvironment International · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicInsects and Parasite Interactions
Canadian institutionsInstitute of Infection and Immunity
FundersMedical Research CouncilDepartment of Haematology, Christian Medical College, VelloreBiotechnology and Biological Sciences Research CouncilCardiff UniversityBayero University KanoUniversity of Oxford
KeywordsAntimicrobialBacteriaArthropodWorkflowMicrobiologyMedicineBiotechnologyBiologyEcologyComputer science

Abstract

fetched live from OpenAlex

• Multi-site sampling and the collection of environmental and clinical metadata is essential for AMR surveillance. • Houseflies are abundant in hospitals in LMICs with tropical climates and they carry a range of antibiotic resistant bacteria. • Phenotypic analysis showed that many isolates recovered from houseflies were multi-drug resistant. • Genotypic analysis identified carbapenemase genes present on mobilisible plasmids in bacteria isolated from flies. • Further mechanistic studies are required to understand the burden of AMR attributable to insect pests on hospital wards. The dissemination of antimicrobial resistant (AMR) bacteria by flies in hospitals is concerning as nosocomial AMR infections pose a significant threat to public health. This threat is compounded in low- and middle-income countries (LMICs) by several factors, including limited resources for sufficient infection prevention and control (IPC) practices and high numbers of flies in tropical climates. In this pilot study, 1,396 flies were collected between August and September 2022 from eight tertiary care hospitals in six cities (Abuja, Enugu, Kaduna, Kano, Lagos and Sokoto) in Nigeria. Flies were screened via microbiological culture and bacterial isolates were phenotypically and genetically characterised to determine carriage of clinically important antibiotic resistance genes (ARGs). Several clinically relevant ARGs were found in bacteria isolated from flies across all hospitals. bla NDM was detected in 8% of flies and was predominantly carried by Providencia spp . alongside clinically relevant Enterobacter spp , Escherichia coli and Klebsiella pneumoniae isolates, which all exhibited a multidrug resistant phenotype. mecA was detected at a prevalence of 6.4%, mostly in coagulase-negative Staphylococci (CoNS) as well as some Staphylococcus aureus , of which 86.8% were multidrug resistant. 40% of flies carried bacteria with at least one of the two ESBL genes tested ( bla OXA -1 and bla CTX-M−15 ). This multi-site study emphasised that flies in hospital settings carry bacteria that are resistant to multiple classes of antibiotics, including both routinely used and reserve antibiotics. A greater understanding of the global clinical significance and burden of AMR attributable to insect pests is required.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.300
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.003
GPT teacher head0.229
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it