Evidence map›Paper›PMID 32859252›Full record

ArticleAntimicrobial resistance and infection control2020

Antimicrobial resistance preparedness in sub-Saharan African countries.

Linzy Elton, Margaret J Thomason, John Tembo, Thirumalaisamy P Velavan, Srinivas Reddy Pallerla, Liã Bárbara Arruda, Francesco Vairo, Chiara Montaldo, Francine Ntoumi, Muzamil M Abdel Hamid and 6 more

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Article in Antimicrobial resistance and infection control, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 73 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
73citing papers in PubMed, 3 pooled it
–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

73 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  11. Enhancing antimicrobial resistance (AMR) surveillance data use in Uganda.Antimicrobial stewardship & healthcare epidemiology : ASHE · 2026
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13 more citing papers are in PubMed but not listed here.

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

16 authors.

Linzy EltonUniversity College London, London, UK. linzy.elton@ucl.ac.uk.ORCID 0000-0003-4270-1553
Margaret J ThomasonUniversity College London, London, UK.
John TemboUniversity of Lusaka, Lusaka, Zambia.
Thirumalaisamy P VelavanUniversity of Tübingen, Tübingen, Germany.
Srinivas Reddy PallerlaUniversity of Tübingen, Tübingen, Germany.
Liã Bárbara ArrudaUniversity College London, London, UK.
Francesco VairoNational Institute for Infectious Diseases Lazzaro Spallanzani Institute for Hospitalization and Care Scientific, Rome, Italy.
Chiara MontaldoNational Institute for Infectious Diseases Lazzaro Spallanzani Institute for Hospitalization and Care Scientific, Rome, Italy.
Francine NtoumiUniversity of Tübingen, Tübingen, Germany.
Muzamil M Abdel HamidUniversity of Khartoum, Khartoum, Sudan.
Najmul HaiderRoyal Veterinary College, London, UK.
Richard KockRoyal Veterinary College, London, UK.
Giuseppe IppolitoNational Institute for Infectious Diseases Lazzaro Spallanzani Institute for Hospitalization and Care Scientific, Rome, Italy.
Alimuddin ZumlaUniversity College London, London, UK.
Timothy D McHughUniversity College London, London, UK.
the PANDORA-ID-NET consortium

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntimicrobial resistance (AMR) is of growing concern globally and AMR status in sub-Saharan Africa (SSA) is undefined due to a lack of real-time data recording, surveillance and regulation. World Health Organization (WHO) Joint External Evaluation (JEE) reports are voluntary, collaborative processes to assess country capacities and preparedness to prevent, detect and rapidly respond to public health risks, including AMR. The data from SSA JEE reports were analysed to gain an overview of how SSA is working towards AMR preparedness and where strengths and weaknesses lie.

methodsSSA country JEE AMR preparedness scores were analysed. A cumulative mean of all the SSA country AMR preparedness scores was calculated and compared to the overall mean SSA JEE score. AMR preparedness indicators were analysed, and data were weighted by region.

findingsThe mean SSA AMR preparedness score was 53% less than the overall mean SSA JEE score. East Africa had the highest percentage of countries reporting having AMR National Action Plans in place, as well as human and animal pathogen AMR surveillance programmes. Southern Africa reported the highest percentage of countries with training programmes and antimicrobial stewardship.

conclusionsThe low mean AMR preparedness score compared to overall JEE score, along with the majority of countries lacking implemented National Action Plans, suggests that until now AMR has not been a priority for most SSA countries. By identifying regional and One Health strengths, AMR preparedness can be fortified across SSA with a multisectoral approach.

Indexed as

Drug Resistance, Multiple, BacterialAfrica South of the SaharaAntimicrobial StewardshipHumansOne HealthPublic HealthWorld Health OrganizationAntimicrobial resistanceJoint external evaluationOne health

Identifiers

PMID32859252
PMCPMC7456056

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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.