Evidence map›Paper›PMID 40616123›Full record

SynthesisMalaria journal2025

Prevalence and determinants of zoonotic malaria in the Greater Mekong Subregion (GMS) and Malaysia: systematic review and meta-analysis.

Alex Ahebwa, Chutipong Sukkanon, Jeffrey Hii, Ratchadawan Ngoen-Klan, Uraiwan Arunyawat, Sylvie Manguin, Theeraphap Chareonviriyaphap

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Malaria journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Epidemiology of malaria and leishmaniasis in Thailand (2004-2025): A systematic review.Current research in parasitology & vector-borne diseases · 2026
    Review
  4. International journal of molecular sciences · 2025
    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

7 authors.

Alex AhebwaDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok, 10900, Thailand.
Chutipong SukkanonDepartment of Clinical Microscopy, Faculty of Medical Technology, Mahidol University, Nakhon Pathom, 73170, Thailand.
Jeffrey HiiCollege of Public Health, Medical & Veterinary Sciences, James Cook University, North Queensland, QLD, 4810, Australia.
Ratchadawan Ngoen-KlanDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok, 10900, Thailand.
Uraiwan ArunyawatDepartment of Genetics, Faculty of Science, Kasetsart University, Bangkok, 10900, Thailand.
Sylvie ManguinDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok, 10900, Thailand.
Theeraphap ChareonviriyaphapDepartment of Entomology, Faculty of Agriculture, Kasetsart University, Bangkok, 10900, Thailand. faasthc@ku.ac.th.

Funding

The Kasetsart University Research and Development Institute (KURDI), Bangkok, Thailand FF(KU) 52.67The National Research Council of Thailand (NRCT) through the High-Potential Research Team Grant Program. N42A670406
6 · The paper itself

Abstract

backgroundZoonotic malaria is a growing public health concern in Southeast Asia, with Malaysia and Thailand accounting for 95.2% of the 3290 global cases reported in 2023. It is caused by Plasmodium species primarily adapted to long- and pig-tailed macaques, transmitted to humans via certain Anopheles mosquitoes. This meta-analysis quantifies its prevalence and risk factors in the Greater Mekong Subregion and Malaysia.

methodsThis meta-analysis was conducted following the PRISMA (Preferred Reporting Items for Systematic) guidelines. A comprehensive literature search was conducted in PubMed and Scopus databases (2000-2024) to identify studies on zoonotic malaria infection in humans and monkeys. Backward search was done using Google Scholar. Inclusion criteria were defined using the CoCoPop (Condition, Context, and Population) framework. Two reviewers independently extracted data, and study quality was assessed using appropriate risk-of-bias tools. A random-effects meta-analysis was conducted using the metafor package in R programme, with heterogeneity assessed via I

resultsThe overall pooled prevalence of malaria infection was 8.6% in humans and 35.0% in monkeys. The pooled prevalence was higher in Malaysia (22.8%) than GMS (1.2%). In GMS, Myanmar with a pooled prevalence of 4.9% contributes a higher burden of human zoonotic malaria than Thailand (1.8%). Significantly high heterogeneity between studies was recorded for both human (I

conclusionsThis study contributes to the understanding of the transmission complexities of zoonotic malaria in the GMS countries and Malaysia, highlighting critical knowledge gaps and the need for a multidisciplinary approach to managing its further spread.

Indexed as

MalariaMonkey DiseasesZoonosesAnimalsAsia, SoutheasternHumansMalaysiaPrevalenceRisk FactorsThailandHeterogeneityPlasmodium cynomolgiPlasmodium inuiPlasmodium knowlesiPooled prevalenceRisk factorsZoonotic malaria

Identifiers

PMID40616123
PMCPMC12228191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.