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The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

An insight into the implementation of the global action plan on antimicrobial resistance in the WHO African region: A roadmap for action

Iwu, Chidozie Declan, Patrick, Sean Mark·2021·International Journal of Antimicrobial Agents

Abstract

Introduction The Global Action Plan (GAP) on antimicrobial resistance (AMR) delivers a 'One Health' strategy for the development of the national action plan. It encourages the optimal use of antimicrobials and strengthens the evidence base through surveillance and research. Methods This study evaluated the current status of implementation of the GAP on AMR in World Health Organization (WHO) African countries via a retrospective, cross-sectional analysis of routinely collected data on AMR. A SWOT analysis was used to identify the strengths, weaknesses, opportunities and threats involved in the GAP implementation. A roadmap for action was proposed. Results The overall mean GAP performance score across all the countries that were assessed was 32% ± SD12 (95% CI 27-36%). The mean thematic scores were 59% ± 12 (53-65%) for multi-sector and One Health collaboration; 50% ± 22 (42-58%) for developing national AMR action plans; 38% ± 12 (33-42%) for awareness and training; 18% ± 13 (13-23%) for surveillance; 33% ± 13 (29-38%) for infection prevention and control; and 28% ± 23 (20-37%) for optimal use of antimicrobial medicines in human, animal and plant health. The difference in GAP performance scores between African sub-regions and between income categories was not statistically significant (P > 0.05). While seven countries exhibited strengths in two themes, 25 countries exhibited weaknesses across all themes. Six threats and six opportunities were identified to inform a practical ro…

Overview

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Crossref · 10.1016/j.ijantimicag.2021.106411

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Research works printed but not linked: 2

  1. Ndihokubwayo, 2013, 16, 27
  2. 2018, Antimicrobial resistance: Invest in innovation and research, and boost R&D and access, IACG Discussion Paper

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Metadata

Authors
Iwu, C. D., & Patrick, S. M.
Affiliations
University of Pretoria (ZA)
Corresponding author
Iwu, Chidozie Declan
Venue
International Journal of Antimicrobial Agents
Publisher
Elsevier BV
Published
2021-10
Volume
58
Issue
4
Pages
106411
ISSN
0924-8579 (ISSN-L)
OpenAlex
W3188742083
Cited by
78
References
34
Citations by year
2026: 9 · 2025: 24 · 2024: 18 · 2023: 15 · 2022: 10 · 2021: 2
FWCI
6.61
Type
journal article
Language
en
Open access
closed
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)
Locations
  • International Journal of Antimicrobial Agents (publishedVersion)
  • PubMed (publishedVersion)
  • UpSpace Institutional Repository (University of Pretoria) (submittedVersion)
Funders
University of Pretoria
Topics
  • Health Sciences › Medicine › Infectious Diseases › Antibiotic Use and Resistance
  • Health Sciences › Medicine › Microbiology (medical) › Antibiotic Resistance in Bacteria
  • Health Sciences › Medicine › Infectious Diseases › Infection Control in Healthcare
Keywords
antimicrobial resistance, Global Action Plan on AMR, One Health, national action plans, antimicrobial resistance surveillance, infection control, WHO African Region, SWOT analysis
MeSH terms
Antimicrobial Stewardship, One Health, Africa, Anti-Bacterial Agents, Cross-Sectional Studies, Health Policy, Humans, Public Health, Retrospective Studies, World Health Organization, Drug Resistance, Multiple, Bacterial

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CoChat. (2026). Citation check: An insight into the implementation of the global action plan on antimicrobial resistance in the WHO African region: A roadmap for action. https://app.cochat.ai/papers/10.1016/j.ijantimicag.2021.106411
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Iwu, C. D., & Patrick, S. M. (2021). An insight into the implementation of the global action plan on antimicrobial resistance in the WHO African region: A roadmap for action. International Journal of Antimicrobial Agents. https://doi.org/10.1016/j.ijantimicag.2021.106411

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.