SynthesisThe veterinary quarterly2024
Emerging zoonotic diseases in Southeast Asia in the period 2011-2022: a systematic literature review.
Synthesis in The veterinary quarterly, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.
What it found
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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.
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.
Who cites it
7 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Brucellosis in Southeast Asia: A Systematic Review of Epidemiological Evidence, Surveillance Gaps, and cgMLST-Based Insights Into Genetic Relatedness.Transboundary and emerging diseases · 2026Pooled it
- Understanding zoonotic pathogens and risk factors from wildlife in Southeast Asia: a systematic literature review.The veterinary quarterly · 2025Pooled it
- Understanding zoonotic spillover interfaces for the design of a One Health education intervention: a qualitative baseline study from rural Thailand.One health outlook · 2026Article
- Assessing Zoonotic Disease Exposure and Occupational Health and Safety Practices Among Veterinary Services Fieldworkers in North West Province, South Africa.International journal of environmental research and public health · 2025Article
- Operationalizing regional One Health initiatives in Southeast Asia: Ways forward.One health (Amsterdam, Netherlands) · 2025Article
- One health intervention for the control and elimination of scrub typhus, anthrax, and brucellosis in Southeast Asia: a systematic review.The Lancet regional health. Southeast Asia · 2024Review
- Analysis of the serum proteome profile of wild stump-tailed macaques (Frontiers in veterinary science · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
As COVID-19 has shown, pandemics and outbreaks of emerging infections such as Zika, Nipah, monkeypox and antimicrobial-resistant pathogens, especially emerging zoonotic diseases, continue to occur and may even be increasing in Southeast Asia. In addition, these infections often result from environmental changes and human behaviour. Overall, public health surveillance to identify gaps in the literature and early warning signs are essential in this region. A systematic review investigated the prevalence of emerging zoonotic diseases over 11 years from 2011 to 2022 in Southeast Asia to understand the status of emerging zoonotic diseases, as well as to provide necessary actions for disease control and prevention in the region. During the 2011-2022 period, studies on pigs, poultry, ruminants, companion animals and wildlife in Southeast Asia were reviewed thoroughly to assess the quality of reporting items for inclusion in the systematic review. The review was performed on 26 studies of pigs, 6 studies of poultry, 21 studies of ruminants, 28 studies of companion animals and 25 studies of wildlife in Southeast Asia, which provide a snapshot of the prevalence of the emerging zoonotic disease across the country. The findings from the review showed that emerging zoonotic diseases were prevalent across the region and identified a few zoonotic diseases associated with poultry, mainly stemming from Cambodia and Vietnam, as high priority in Southeast Asia.
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Registered trials
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.