Evidence map›Paper›PMID 40303827›Full record

ArticleTransboundary and emerging diseases2023

Spatiotemporal Drivers of the African Swine Fever Epidemic in Lao PDR.

Ka Yi Hui, Nina Matsumoto, Jarunee Siengsanan-Lamont, James R Young, Syseng Khounsy, Bounloum Douangneun, Watthana Thepagna, Phouvong Phommachanh, Stuart D Blacksell, Michael P Ward

Abstract read
In one paragraph

Article in Transboundary and emerging diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

10 authors.

Ka Yi HuiUniversity of Sydney, Sydney School of Veterinary Science, Camden, NSW, Sydney, Australia.
Nina MatsumotoUniversity of Sydney, Sydney School of Veterinary Science, Camden, NSW, Sydney, Australia.
Jarunee Siengsanan-LamontMahidol-Oxford Tropical Medicine Research Unit (MORU), Faculty of Tropical Medicine, Mahidol University, Bangkok, Thailand.
James R YoungUniversity of Sydney, Sydney School of Veterinary Science, Camden, NSW, Sydney, Australia.ORCID https://orcid.org/0000-0001-5567-0851
Syseng KhounsyNational Animal Health Laboratory, Department of Livestock and Fisheries, Ministry of Agriculture and Forestry, Vientiane, Lao PDR.
Bounloum DouangneunNational Animal Health Laboratory, Department of Livestock and Fisheries, Ministry of Agriculture and Forestry, Vientiane, Lao PDR.
Watthana ThepagnaNational Animal Health Laboratory, Department of Livestock and Fisheries, Ministry of Agriculture and Forestry, Vientiane, Lao PDR.
Phouvong PhommachanhNational Animal Health Laboratory, Department of Livestock and Fisheries, Ministry of Agriculture and Forestry, Vientiane, Lao PDR.
Stuart D BlacksellUniversity of Sydney, Sydney School of Veterinary Science, Camden, NSW, Sydney, Australia.ORCID https://orcid.org/0000-0001-6576-726X
Michael P WardUniversity of Sydney, Sydney School of Veterinary Science, Camden, NSW, Sydney, Australia.ORCID https://orcid.org/0000-0002-9921-4986

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF) is a devastating transboundary disease of swine. Following the first report of ASF in China in August 2018, ASF spread through South-East Asian nations in 2019. Without control and containment measures, ASF can decimate smallholder pig holdings and disrupt value chains. This study aimed to describe the spatiotemporal spread of the 2019 Lao PDR ASF epidemic in domestic pigs, identify environmental (protected areas and forests), production (pig ownership), transportation (roads), and social (poverty and ethnicity) risk factors, and recommend measures that could reduce ASF spread. A retrospective spatiotemporal study was conducted at the village level. Information on the date that ASF was first reported from each case location was collected, and the outcome variable of interest "epidemic day" was created. Risk factor information from different sources was extracted for each case location. The association or correlation between epidemic day and risk factors for the spread of ASF was investigated using Kruskal-Wallis tests and Spearman rank correlation statistics. The epidemic started on June 16 and lasted for 190 days, displaying a right-skewed epidemic curve. The directional distribution was rotated approximately 305°, from Southeast to Northwest Laos. Significant risk factors for ASF associated with epidemic day were location in terms of distance from the closest protected natural area (

Indexed as

African Swine FeverEpidemicsAnimalsLaosRetrospective StudiesRisk FactorsSpatio-Temporal AnalysisSwine

Identifiers

PMID40303827
PMCPMC12016982

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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.