Prevalence and determinants of zoonotic malaria in the Greater Mekong Subregion (GMS) and Malaysia: systematic review and meta-analysis
Ahebwa, Alex, Sukkanon, Chutipong, Hii, Jeffrey, Ngoen-Klan, Ratchadawan, Arunyawat, Uraiwan, Manguin, Sylvie, and Chareonviriyaphap, Theeraphap (2025) Prevalence and determinants of zoonotic malaria in the Greater Mekong Subregion (GMS) and Malaysia: systematic review and meta-analysis. Malaria Journal, 24 (1). 218.
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Abstract
Background: Zoonotic 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. Methods: This 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<sup>2</sup> statistics and subgroup analyses. Meta-regression using a linear mixed-effects models estimated unadjusted odds ratios for transmission determinants. Results: The 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<sup>2</sup> = 99.7%, P < 0.0001) and monkey (I<sup>2</sup> = 98.7%, P < 0.0001) infections. The major risk factors assessed were gender (males: OR = 4.3), age (adults 21–40 years: OR = 5.6), mobility, misdiagnosis, and Plasmodium knowlesi infection. Most cases (4773; 89.6%) were initially misdiagnosed by microscopy as non-zoonotic. Prevalence in monkeys was highest in Macaca nemestrina (63.3%) followed by Macaca fascicularis (31.4%) with Plasmodium inui and Plasmodium cynomolgi as the most frequent parasites. Conclusions: This 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.
| Item ID: | 87732 |
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| Item Type: | Article (Research - C1) |
| ISSN: | 1475-2875 |
| Keywords: | Heterogeneity, Plasmodium cynomolgi, Plasmodium inui, Plasmodium knowlesi, Pooled prevalence, Risk factors, Zoonotic malaria |
| Copyright Information: | © The Author(s) 2025. This article is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License, which permits any non-commercial use, sharing, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if you modified the licensed material. You do not have permission under this licence to share adapted material derived from this article or parts of it. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. |
| Date Deposited: | 03 Feb 2026 01:28 |
| FoR Codes: | 42 HEALTH SCIENCES > 4202 Epidemiology > 420207 Major global burdens of disease @ 100% |
| SEO Codes: | 20 HEALTH > 2004 Public health (excl. specific population health) > 200404 Disease distribution and transmission (incl. surveillance and response) @ 100% |
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