Evidence map›Paper›PMID 31932601›Full record

ArticleNature communications2020

Antimicrobial resistant enteric bacteria are widely distributed amongst people, animals and the environment in Tanzania.

Murugan Subbiah, Mark A Caudell, Colette Mair, Margaret A Davis, Louise Matthews, Robert J Quinlan, Marsha B Quinlan, Beatus Lyimo, Joram Buza, Julius Keyyu and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 50 papers.

0numbers the graph read from it
0cells of the map it votes in
50citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

50 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. One Health, One Microbiome.Microbiome · 2025
    Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Review
  16. Article
  17. Antimicrobial Use Survey and Detection of ESBL-Antibiotics (Basel, Switzerland) · 2024
    Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Murugan SubbiahPaul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA.
Mark A CaudellPaul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA. mcaudell@wsu.edu.
Colette MairBoyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
Margaret A DavisPaul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA.
Louise MatthewsBoyd Orr Centre for Population and Ecosystem Health, Institute of Biodiversity, Animal Health and Comparative Medicine, University of Glasgow, Glasgow, UK.
Robert J QuinlanPaul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA.
Marsha B QuinlanPaul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA.ORCID http://orcid.org/0000-0002-9311-9494
Beatus LyimoNelson Mandela African Institution of Science and Technology, Arusha, Tanzania.ORCID http://orcid.org/0000-0002-6743-4546
Joram BuzaNelson Mandela African Institution of Science and Technology, Arusha, Tanzania.
Julius KeyyuTanzania Wildlife Research Institute, Arusha, Tanzania.
Douglas R CallPaul G. Allen School for Global Animal Health, Washington State University, Pullman, WA, USA.

Funding

Medical Research Council MC_UU_12014/9
6 · The paper itself

Abstract

Antibiotic use and bacterial transmission are responsible for the emergence, spread and persistence of antimicrobial-resistant (AR) bacteria, but their relative contribution likely differs across varying socio-economic, cultural, and ecological contexts. To better understand this interaction in a multi-cultural and resource-limited context, we examine the distribution of antimicrobial-resistant enteric bacteria from three ethnic groups in Tanzania. Household-level data (n = 425) was collected and bacteria isolated from people, livestock, dogs, wildlife and water sources (n = 62,376 isolates). The relative prevalence of different resistance phenotypes is similar across all sources. Multi-locus tandem repeat analysis (n = 719) and whole-genome sequencing (n = 816) of Escherichia coli demonstrate no evidence for host-population subdivision. Multivariate models show no evidence that veterinary antibiotic use increased the odds of detecting AR bacteria, whereas there is a strong association with livelihood factors related to bacterial transmission, demonstrating that to be effective, interventions need to accommodate different cultural practices and resource limitations.

Indexed as

Drug Resistance, BacterialEnvironmental MicrobiologyGastrointestinal MicrobiomeAnimalsAnti-Bacterial AgentsBacteriaEscherichia coliEscherichia coli InfectionsFecesGenome, BacterialGenotypeHumansMicrobial Sensitivity TestsPhylogenyPrevalenceTanzaniaAnti-Bacterial Agents

Identifiers

PMID31932601
PMCPMC6957491

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.