ArticleeLife2021
Model-based spatial-temporal mapping of opisthorchiasis in endemic countries of Southeast Asia.
Article in eLife, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers, 1 of them a synthesis that pooled it.
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Who cites it
30 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Risk factors and control of Opisthorchis viverrini in the Lower Mekong Basin: A systematic review.PLoS neglected tropical diseases · 2025Pooled it
- Spatiotemporal Analysis of the Primary Factors and Risk Quantification of Human Brucellosis Prevention and Control in Zhejiang Province of China.Zoonoses and public health · 2026Article
- Review
- Spatial patterns and risk mapping of opisthorchiasis and soil-transmitted helminth infections in Thailand using Bayesian geostatistical models.Scientific reports · 2026Article
- Spatial prediction of the probability of liver fluke infection using a geographic weighted regression (GWR) model in waterways connecting the Mekong River, Sakon Nakhon of Thailand.One health (Amsterdam, Netherlands) · 2026Article
- Evaluation of Parasite Concentrator Kit and Kato-Katz Method for Detection of Intestinal Parasites in Stool Samples.Tropical medicine and infectious disease · 2026Article
- The role of liver fluke invasion in the pathogenesis of cholangiocarcinoma.Clinical and experimental hepatology · 2026Review
- Modeling the transmission dynamics of liver flukes (Science in One Health · 2026Review
- Disability-adjusted life years of clonorchiasis in China: a high-resolution spatial analysis.Infectious diseases of poverty · 2025Article
- Transcriptomics analysis of in vivo Opisthorchis viverrini: Stage-specific gene expression and novel genes with stable expression in mammalian stages for opisthorchiasis intervention.PLoS neglected tropical diseases · 2025Article
- Natural history of liver fluke infection underpins epidemiological patterns of biliary cancer.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Spatial-temporal risk of Opisthorchis felineus infection in Western Siberia and the Ural Region of Russian Federation: a joint Bayesian modelling study based on survey and surveillance data.Infectious diseases of poverty · 2025Article
- Ecological epidemiology insights into clonorchiosis endemicity in Guangxi, China and Vietnam: a comprehensive machine learning analysis.International journal of health geographics · 2025Article
- A global map of travel time to access veterinarians.Nature communications · 2025Article
- Large-scale epidemiology of opisthorchiasis in 21 provinces in Thailand based on diagnosis by fecal egg examination and urine antigen assay and analysis of risk factors for infection.PLoS neglected tropical diseases · 2025Article
- Integrated opisthorchiasis control through the EcoHealth/one health approach: 15 years of success and experiences with the Lawa model.One health (Amsterdam, Netherlands) · 2025Article
- The estimated incidence of uterine corpus cancers among permanent residents in mainland China using Bayesian spatial modeling.Scientific reports · 2025Article
- Spatiotemporal Distribution Characteristic and Influencing Factors of African Swine Fever Outbreaks (2018/8-2019/12) in China.Veterinary medicine international · 2025Article
- The genome sequence of the liver flukeWellcome open research · 2025Article
- Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Opisthorchiasis is an overlooked danger to Southeast Asia. High-resolution disease risk maps are critical but have not been available for Southeast Asia. Georeferenced disease data and potential influencing factor data were collected through a systematic review of literatures and open-access databases, respectively. Bayesian spatial-temporal joint models were developed to analyze both point- and area-level disease data, within a logit regression in combination of potential influencing factors and spatial-temporal random effects. The model-based risk mapping identified areas of low, moderate, and high prevalence across the study region. Even though the overall population-adjusted estimated prevalence presented a trend down, a total of 12.39 million (95% Bayesian credible intervals [BCI]: 10.10-15.06) people were estimated to be infected with
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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.