Evidence map›Paper›PMID 34698282›Full record

ReviewTropical medicine and infectious disease2021

Antimicrobial Resistance Situational Analysis 2019-2020: Design and Performance for Human Health Surveillance in Uganda.

Ibrahimm Mugerwa, Susan N Nabadda, Janet Midega, Consolata Guma, Simeon Kalyesubula, Adrian Muwonge

Abstract readReview
In one paragraph

Review in Tropical medicine and infectious disease, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Trial
  2. Article
  3. Article
  4. CTX-M variants on the move: Tracking resistance inOne health (Amsterdam, Netherlands) · 2026
    Article
  5. Review
  6. Enhancing antimicrobial resistance (AMR) surveillance data use in Uganda.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
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  17. 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

6 authors.

Ibrahimm MugerwaNational Health Laboratories and Diagnostic Services, Antimicrobial Resistance National Coordination Centre (AMR-NCC) for Human Health, Ministry of Health, Butabika, Kampala 10312, Uganda.
Susan N NabaddaNational Health Laboratories and Diagnostic Services, Antimicrobial Resistance National Coordination Centre (AMR-NCC) for Human Health, Ministry of Health, Butabika, Kampala 10312, Uganda.
Janet MidegaThe Welcome Trust, 215 Euston, London NW1 2BE, UK.
Consolata GumaNational Health Laboratories and Diagnostic Services, Antimicrobial Resistance National Coordination Centre (AMR-NCC) for Human Health, Ministry of Health, Butabika, Kampala 10312, Uganda.
Simeon KalyesubulaNational Health Laboratories and Diagnostic Services, Antimicrobial Resistance National Coordination Centre (AMR-NCC) for Human Health, Ministry of Health, Butabika, Kampala 10312, Uganda.
Adrian MuwongeDivision of Genetics and Genomics, Roslin Institute, College of Medicine and Veterinary Studies, The University of Edinburgh, Edinburgh EH25 9RG, UK.ORCID 0000-0002-8579-0384

Funding

Medical Research Council MR/V034952/1
6 · The paper itself

Abstract

Antibiotic resistance and its mechanisms have been known for over six decades, but global efforts to characterize its routine drivers have only gained momentum in the recent past. Drivers of clinical and community resistance go beyond just clinical practice, which is why one-health approaches offer the most realistic option for controlling antibiotic resistance. It is noteworthy that the emergence of resistance occurs naturally in the environment, but akin to climate change, the current accelerated emergence and spread bears hallmarks of anthropomorphic influence. If left unchecked, this can undo the medical and agricultural advancements of the last century. The WHO recommends that nations develop, adopt, and implement strategies that track the changing trends in antibiotic resistance levels to tackle this problem. This article examines efforts and progress in developing and implementing a human health antimicrobial resistance surveillance strategy in Uganda. We do so within the context of the National Action Plan for tackling antimicrobial resistance (AMR-NAP) launched in 2018. We discuss the technical milestones and progress in implementing surveillance of GLASS priority pathogens under this framework. The preliminary output of the framework examines the performance and compares AMR and AMU surveillance data to explain observed trends. We conclude that Uganda is making progress in developing and implementing a functional AMR surveillance strategy for human health.

Indexed as

antimicrobial resistance (AMR)national action plan (NAP)one health approachsentinel surveillance

Identifiers

PMID34698282
PMCPMC8544686

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.