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俄罗斯联邦西西伯利亚和乌拉尔地区猫后睾吸虫感染的时空风险:基于调查和监测数据的联合贝叶斯建模研究

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.

作者信息

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

机构信息

Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China.

Sun Yat-Sen Global Health Institute, Sun Yat-Sen University, Guangzhou, Guangdong, People's Republic of China.

出版信息

Infect Dis Poverty. 2025 Sep 22;14(1):95. doi: 10.1186/s40249-025-01363-z.

Abstract

BACKGROUND

Opisthorchiasis 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.

METHODS

Data 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 were produced.

RESULTS

The 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.

CONCLUSIONS

The 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.

摘要

背景

由猫后睾吸虫感染引起的后睾吸虫病,对于居住在俄罗斯联邦西西伯利亚和乌拉尔地区的人群来说,是一个重大但研究不足的公共卫生问题。本研究旨在绘制高分辨率的时空疾病风险地图,以指导上述地区的预防策略。

方法

通过系统综述和俄罗斯联邦卫生部的年度报告,收集了研究区域内猫后睾吸虫感染患病率和反映报告年发病率的监测数据。环境、社会经济和人口数据从不同的开放获取数据源下载。开发了一种先进的多变量贝叶斯地理统计建模方法,通过联合分析调查和监测数据,结合潜在影响因素和时空随机效应,在高分辨率时空尺度上估计猫后睾吸虫感染风险。制作了分辨率为5×5千米的猫后睾吸虫感染年度时空风险地图。

结果

最终数据集包括76个猫后睾吸虫感染调查数据地点和303个监测数据地点。中部和东部大部分地区的感染风险较高(>25%),而西部地区大部分地区的感染风险相对较低(<25%),近几十年来各子区域存在时间变化。特别是,在人口密集的东部地区,感染风险呈上升趋势,从1980年的30.46%(95%贝叶斯可信区间,BCI 10.78 - 53.45%)升至2019年的53.39%(95% BCI 13.77 - 91.93%),并逐渐转变为高风险。在研究区域(由于数据稀疏排除西部地区),2019年经人口调整后的估计患病率为46.61%(95% BCI 15.09 - 76.50%),相当于约791万人(95% BCI 256 - 1298万人)感染。

结论

俄罗斯联邦西西伯利亚和乌拉尔地区的猫后睾吸虫高分辨率风险地图有效地捕捉了风险概况,表明近年来感染风险仍然很高,并为空间目标控制和预防策略提供了大量证据。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6b31/12452019/69602dcd48f8/40249_2025_1363_Fig1_HTML.jpg

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