Evidence map›Paper›PMID 36321258›Full record

ArticleTransboundary and emerging diseases2022

Epidemiology of foot-and-mouth disease outbreaks in Thailand from 2011 to 2018.

Thanicha Chanchaidechachai, Helmut Saatkamp, Mart de Jong, Chaidate Inchaisri, Henk Hogeveen, Sith Premashthira, Noppawan Buamitoup, Rotchana Prakotcheo, Bart H P van den Borne

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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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

9 authors.

Thanicha ChanchaidechachaiBusiness Economics Group, Wageningen University, Wageningen, The Netherlands.ORCID https://orcid.org/0000-0002-1301-3113
Helmut SaatkampBusiness Economics Group, Wageningen University, Wageningen, The Netherlands.
Mart de JongQuantitative Veterinary Epidemiology Group, Wageningen University, Wageningen, The Netherlands.
Chaidate InchaisriResearch Unit of Data Innovation for Livestock, Department of Veterinary Medicine, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.
Henk HogeveenQuantitative Veterinary Epidemiology Group, Wageningen University, Wageningen, The Netherlands.
Sith PremashthiraBureau of Disease Control and Veterinary Services, Department of Livestock Development, Bangkok, Thailand.
Noppawan BuamitoupBureau of Disease Control and Veterinary Services, Department of Livestock Development, Bangkok, Thailand.
Rotchana PrakotcheoBureau of Disease Control and Veterinary Services, Department of Livestock Development, Bangkok, Thailand.
Bart H P van den BorneBusiness Economics Group, Wageningen University, Wageningen, The Netherlands.

Funding

Agricultural Research Development Agency PRP 5905021280Anandamahidol foundationThailand Research Fund TRG5780092
6 · The paper itself

Abstract

Foot-and-mouth disease (FMD) is one of the most important animal diseases hindering livestock production in Thailand. In this study, a temporal and spatial analysis at the subdistrict level was performed on FMD outbreak reports in Thailand from 2011 to 2018. Risk factors associated with FMD outbreaks were furthermore investigated using generalized estimating equations. The results showed that the incidence of FMD outbreaks was the highest in 2016 and was affected by season, with a peak in FMD outbreaks occurring in the rainy-winter season, during October to December. FMD outbreaks were mostly distributed in small clusters within a few subdistricts. Some high-risk areas with repeated outbreaks were detected in the central regions. Risk factors, including the increase of subdistrict's size of the dairy population, beef population or pig population, the low percentage of forest area, subdistricts in the provinces adjacent to Malaysia, the presence of a livestock market and the occurrence of an FMD outbreak in a neighbouring subdistrict in the previous month significantly increased the odds of having an FMD outbreak. The increase in proximity to the nearest subdistrict with an FMD outbreak in the previous month decreased the odds of having FMD outbreaks. This study helped to identify high-risk areas and periods of FMD outbreaks in Thailand. Together with the identified risk factors, its results can be used to optimize the FMD control programme in Thailand and in other countries having a similar livestock industry and FMD situation.

Indexed as

Cattle DiseasesFoot-and-Mouth DiseaseFoot-and-Mouth Disease VirusSwine DiseasesAnimalsCattleDisease OutbreaksLivestockSwineThailandfoot-and-mouth diseaserisk factorsspatial analysistemporal analysisThailand

Identifiers

PMID36321258
PMCPMC10100504

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Registered trials

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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.