Evidence map›Paper›PMID 42277098›Full record

ArticleScientific reports2026

Spatial patterns and risk mapping of opisthorchiasis and soil-transmitted helminth infections in Thailand using Bayesian geostatistical models.

Khanittha Pratumchart, Apiporn T Suwannatrai, Oranard Wattanawong, Kavin Thinkhamrop, Kulwadee Suwannatrai, Ampas Wisetmora, Suphansa Wichairattanagull, Nichaphat Kukitirat, Thitima Wongsaroj, Pariwate Varnakovida and 7 more

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

17 authors.

Khanittha PratumchartDepartment of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Apiporn T SuwannatraiDepartment of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand. apiporn@kku.ac.th.
Oranard WattanawongOffice of Diseases Prevention and Control 4 Saraburi, Ministry of Public Health, Saraburi, Thailand.
Kavin ThinkhamropFaculty of Public Health, Khon Kaen University, Khon Kaen, Thailand.
Kulwadee SuwannatraiFaculty of Science and Technology, Sakon Nakhon Rajabhat University, Sakon Nakhon, Thailand.
Ampas WisetmoraSirindhorn College of Public Health Suphanburi, Faculty of Public Health and Allied Health Sciences, Praboromarajchanok Institute, Suphanburi, Thailand.
Suphansa WichairattanagullOffice of Diseases Prevention and Control 4 Saraburi, Ministry of Public Health, Saraburi, Thailand.
Nichaphat KukitiratOffice of Diseases Prevention and Control 4 Saraburi, Ministry of Public Health, Saraburi, Thailand.
Thitima WongsarojDivision of General Communicable Diseases, Department of Disease Control, Ministry of Public Health, Nonthaburi, Thailand.
Pariwate VarnakovidaDepartment of Mathematics, Geospatial Engineering and Innovation Center, King Mongkut's University of Technology Thonburi, Bangkok, Thailand.
Thidarut BoonmarsDepartment of Parasitology, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Angela Cadavid RestrepoSchool of Public Health, Faculty of Medicine, The University of Queensland, Brisbane, Australia.
Mary Lorraine Sagarang MationgQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.
Archie C A ClementsSchool of Biological Sciences, Queen's University Belfast, Belfast, UK.
Kinley WangdiNational Centre for Epidemiology and Population Health (NCEPH), Australian National University, Acton, ACT, Australia.
Banchob SripaDepartment of Tropical Medicine, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Darren J GrayQIMR Berghofer Medical Research Institute, Brisbane, QLD, Australia.

Funding

Australian National Health & Medical Research Council (NHMRC) e-ASIA 2019 Joint Research Program 1184406Australian NHMRC Investigator Grant 2008697the Fundamental Fund of Khon Kaen University (KKU), which has been funded by the National Science, Research, and Innovation Fund (NSRF) 161734
6 · The paper itself

Abstract

Opisthorchis viverrini and soil-transmitted helminths (STH) remain major public health challenges in Thailand due to their widespread distribution. This study aimed to map and predict the prevalence of O. viverrini and STH infections across Thailand and to identify key environmental, climatic, and socio-economic factors influencing their geographical distribution. Bayesian geostatistical logistic regression models were fitted to national survey data to estimate infection risk and generate high-resolution spatial predictions. Demographic (sex, age), environmental (land surface temperature, vegetation indices, altitude), climatic (minimum and maximum temperature), and socio-economic (nighttime light intensity) variables were included as covariates in the models, and their associations with infection risk were quantified using posterior odds ratios and 95% Bayesian credible intervals (95% CrI). Opisthorchis viverrini infection was significantly associated with sex and age. Males had higher odds of infection than females (OR: 1.57; 95% CrI: 1.24-1.97). Individuals aged 25-59 years (OR: 4.75; 95% CrI: 3.22-7.21) and ≥ 60 years (OR: 4.69; 95% CrI: 3.10-7.29) had similarly elevated risks compared with those < 25 years. Minimum temperature (TMIN) was significantly negatively associated with infection risk. For each 1 °C increase in TMIN, the probability of O. viverrini infection decreased by 33% (OR = 0.67, 95% CrI: 0.49-0.88). Hookworm infection was more common among males (OR: 1.65; 95% CrI: 1.42-1.93) and individuals aged 25-59 years (OR: 1.86; 95% CrI: 1.52-2.28). For Ascaris lumbricoides, infection risk was lower in individuals aged 25-59 years (OR: 0.42; 95% CrI: 0.18-0.98) and negatively associated with land surface temperature (OR: 0.66; 95% CrI: 0.39-0.98) and nighttime light intensity (OR: 0.97; 95% CrI: 0.93-0.99). No statistically significant associations were detected for Trichuris trichiura. Spatial predictions showed that O. viverrini was concentrated in northeastern Thailand, whereas STH infections were most prevalent in the south. Distinct spatial heterogeneity was observed in the distribution of O. viverrini and STH infections in Thailand. Demographic factors were consistently associated with O. viverrini and hookworm infection, whereas selected environmental and socio-economic correlates were associated with A. lumbricoides. These findings support geographically targeted surveillance and control strategies focused on high-burden areas and vulnerable populations.

Indexed as

HelminthiasisOpisthorchiasisSoilAdolescentAdultAnimalsBayes TheoremFemaleHumansMaleMiddle AgedOpisthorchisPrevalenceRisk FactorsThailandYoung AdultSoilBayesian geostatistical modelOpisthorchis viverrinisoil-transmitted helminthsThailand

Identifiers

PMID42277098
PMCPMC13503900

What OpenQuestion holds

Textmetadata
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.