Evidence mapPaperPMID 41580659Full record

SynthesisBMC infectious diseases2026

The use of WHONET for antimicrobial resistance surveillance: a systematic review.

Ahmed Taha Aboushady, José Chen-Xu, Ahmed Elfakharany, Fatma Mansour, Mohamed Eissa, Sophie Weber, Thomas F O'Brien, John Stelling

Abstract readSystematic Review
In one paragraph

Synthesis in BMC infectious diseases, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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

8 authors.

Ahmed Taha AboushadyBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA. a.taboushady@gmail.com.
José Chen-XuComprehensive Health Research Centre (CHRC), Public Health Research Center, LA-REAL, National School of Public Health, Universidade NOVA de Lisboa, Lisboa, Portugal.
Ahmed ElfakharanyFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Fatma MansourFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Mohamed EissaFaculty of Medicine, Alexandria University, Alexandria, Egypt.
Sophie WeberLondon School of Hygiene and Tropical Medicine, London, UK.
Thomas F O'BrienBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
John StellingBrigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antimicrobial Resistance (AMR) is a global public health threat. Several surveillance systems/networks were established to provide critical data to detect resistance patterns, guide treatments, and inform policies to mitigate AMR’s public health impact. WHONET software was developed in 1989 as a free software that manages and analyses microbiology laboratory data, entirely dedicated to antimicrobial susceptibility test results. A systematic search was conducted in five electronic databases, PubMed, ScienceDirect, Web of Science, Scopus, and Embase, from their inception until December 31st, 2024. It included all articles that reported using WHONET. From the initial 4,636 articles retrieved, 511 were included. Most studies were cross-sectional or prevalence studies (72.4%), with the majority utilizing secondary data sources (83.2%). Articles included data from 110 countries, with the highest amount coming from China, and the number of publications increased over time. Additionally, most articles included data from 2 to 3 years before publication. Of the 2160 organisms examined across the studies, Enterobacterales (43.8%), Staphylococcus spp. (12.5%) and Pseudomonas spp. (9.3%) were the most covered microorganisms. In conclusion, the review highlights the growing interest in WHONET and AMR. WHONET’s ability to leverage routine and secondary data for AMR monitoring is advantageous compared to other systems. However, expanding WHONET’s application and integrating advanced analytics are essential for enhancing its role in a comprehensive One Health approach to combat AMR, particularly in LMICs.

Indexed as

Anti-Bacterial AgentsBacteriaDrug Resistance, BacterialSoftwareHumansMicrobial Sensitivity TestsAnti-Bacterial AgentsAntimicrobial resistanceData managementData qualitySystematic reviewWHONET

Identifiers

PMID41580659
PMCPMC12910943

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.