Evidence map›Paper›PMID 40976794›Full record

ArticleInfectious diseases of poverty2025

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.

Wen-Long Zhang, Yuan-Hong Zeng, Ying-Si Lai

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Article in Infectious diseases of poverty, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

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3 authors.

Wen-Long Zhang *Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China.
Yuan-Hong Zeng *Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China.
Ying-Si LaiDepartment of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China. laiys3@mail.sysu.edu.cn.ORCID http://orcid.org/0000-0003-4324-5465

Funding

Natural Science Foundation of Guangdong Province 2025A1515011200The National Natural Science Foundation of China 82073665
6 · The paper itself

Abstract

backgroundOpisthorchiasis infected by Opisthorchis felineus has represented a significant but understudied public health issue for the population residing in Western Siberia and the Ural Region of the Russian Federation. This study aimed to produce high-resolution spatial-temporal disease risk maps for guiding prevention strategy in the above region.

methodsData on prevalence and surveillance data reflecting reported annual incidence rate of O. felineus infection in the study region were collected through systematic review and the annual reports of the Ministry of Health of the Russian Federation. Environmental, socioeconomic and demographic data were downloaded from different open-access data sources. An advanced multivariate Bayesian geostatistical modeling approach was developed to estimate the O. felineus infection risk at high-resolution spatial-temporal by joint analysis of survey and surveillance data, incorporating potential influencing factors and spatial-temporal random effects. The annual spatial-temporal risk maps of O. felineus infection at a resolution of 5 × 5 km

resultsThe final dataset included 76 locations of survey data and 303 locations of surveillance data on O. felineus infection. The infection risk was high (> 25%) in most part of central and eastern regions, and relatively low (< 25%) in most part of western region, while temporal variations were observed across the sub-regions in recent decades. Particularly, in the densely populated eastern region, there was an increased trend of infection risk from 30.46% (95% Bayesian credible intervals, BCI 10.78-53.45%) in 1980 to 53.39% (95% BCI 13.77-91.93%) in 2019 and gradually transformed into high-risk. In the study region (excluding the western region due to data sparsity), the population-adjusted estimated prevalence was 46.61% (95% BCI 15.09-76.50%) in 2019, corresponding to approximately 7.91 million (95% BCI 2.56-12.98 million) people infected.

conclusionsThe high-resolution risk maps of O. felineus in Western Siberia and the Ural Region of the Russian Federation have effectively captured the risk profiles, suggesting the infection risk remains high in recent years and providing substantial evidence for spatial-target control and preventive strategies.

Indexed as

OpisthorchiasisOpisthorchisAnimalsBayes TheoremHumansIncidencePrevalenceRisk FactorsRussiaSiberiaSpatio-Temporal AnalysisBayesian geostatistical modelingHigh resolution risk mappingJoint analysisOpisthorchis felineusSurvey and surveillance dataWestern Siberia and the Ural Region

Identifiers

PMID40976794
PMCPMC12452019

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