Evidence map›Paper›PMID 40121282›Full record

ArticleScientific reports2025

Spatial prediction of wild boar distribution in Thailand applications for African swine fever prevention and control.

Weerapong Thanapongtharm, Anuwat Wiratsudakul, Marius Gilbert, Tatiyanuch Chamsai, Choenkwan Pabutta, Witthawat Wiriyarat, Yooni Oh, Sarah Jayme, Neramit Songsaeng, Komsan Maneekan and 2 more

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Review
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

12 authors.

Weerapong ThanapongtharmDepartment of Livestock Development (DLD), Bangkok, Thailand.
Anuwat WiratsudakulDepartment of Clinical Sciences and Public Health, Faculty of Veterinary Science, Mahidol University (MU), Salaya, Nakhon Pathom, Thailand.
Marius GilbertLutte biologique et Ecologie spatiale (LUBIES), Université Libre de Bruxelles, 1050, Brussels, Belgium.
Tatiyanuch ChamsaiThe Monitoring and Surveillance Center for Zoonotic Diseases in Wildlife and Exotic Animals, Faculty of Veterinary Science, Mahidol University (MU), Salaya, Nakhon Pathom, Thailand.
Choenkwan PabuttaThe Monitoring and Surveillance Center for Zoonotic Diseases in Wildlife and Exotic Animals, Faculty of Veterinary Science, Mahidol University (MU), Salaya, Nakhon Pathom, Thailand.
Witthawat WiriyaratThe Monitoring and Surveillance Center for Zoonotic Diseases in Wildlife and Exotic Animals, Faculty of Veterinary Science, Mahidol University (MU), Salaya, Nakhon Pathom, Thailand.
Yooni OhFood and Agriculture Organization of the United Nations Regional Office for Asia and the Pacific, Emergency Centre for Transboundary Animal Diseases (FAO RAP ECTAD), Bangkok, 10200, Thailand.
Sarah JaymeFood and Agriculture Organization of the United Nations Regional Office for Asia and the Pacific, Emergency Centre for Transboundary Animal Diseases (FAO RAP ECTAD), Bangkok, 10200, Thailand.
Neramit SongsaengDepartment of National Parks, Wildlife and Plant Conservation (DNP), Bangkok, Thailand.
Komsan ManeekanDepartment of National Parks, Wildlife and Plant Conservation (DNP), Bangkok, Thailand.
Terdsak YanoFaculty of Veterinary Medicine, Chiang Mai University (CMU), Chiang Mai, Thailand.
Sarin SuwanpakdeeDepartment of Clinical Sciences and Public Health, Faculty of Veterinary Science, Mahidol University (MU), Salaya, Nakhon Pathom, Thailand. sarin.suw@mahidol.ac.th.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

African swine fever (ASF) has spread to many Southeast Asian countries, affecting domestic pig farms and wild boars. This is especially prevalent in areas where human settlements, domestic animals, and wildlife intersect. Our study suggests using the Random Forest (RF) technique to predict the presence or absence of wild boars and estimate their population density in a specified area. We suggest using data from the Spatial Monitoring and Reporting Tool (SMART) to estimate the wild boar population in Southeast Asian countries, particularly in mainland Southeast Asia. Our findings indicate a relatively high abundance of free-ranging wild boars in protected areas of northwest Thailand, where there is a significant interface between domestic pig farms and wild boars bordering Myanmar. Wild boars were also observed in the northern region, bordering Lao PDR, and in the central and southern regions of Thailand. These findings highlight the need for ASF surveillance in border areas. The study also found that the presence of wild boars is linked to deep forest cover, elevation, and distance to water bodies, in contrast, a high density of human population, rainfed cropland, and irrigated cropland were negatively associated. These results are valuable for planning risk mitigation strategies against ASF infection in wild boars and domestic pigs in Thailand and Southeast Asia for transboundary disease surveillance.

Indexed as

African Swine FeverSus scrofaAnimalsAnimals, WildPopulation DensitySpatial AnalysisSwineThailandAfrican swine feverDomestic pigModelSmart Patrol SystemWild boar

Identifiers

PMID40121282
PMCPMC11929826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

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.