Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China

Jiaxin Feng; Xia Zhang; Hehua Hu; Yanfeng Gong; Zhuowei Luo; Jingbo Xue; Chunli Cao; Jing Xu; Shizhu Li

doi:10.1371/journal.pntd.0011265

Spatiotemporal distribution of schistosomiasis transmission risk in Jiangling County, Hubei Province, P.R. China

PLoS Negl Trop Dis. 2023 May 4;17(5):e0011265. doi: 10.1371/journal.pntd.0011265. eCollection 2023 May.

Authors

Jiaxin Feng¹, Xia Zhang², Hehua Hu², Yanfeng Gong³, Zhuowei Luo¹, Jingbo Xue¹, Chunli Cao¹, Jing Xu¹, Shizhu Li^{1

4}

Affiliations

¹ National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), NHC Key Laboratory of Parasite and Vector Biology, WHO Collaborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Shanghai, People's Republic of China.
² Jiangling Center for Disease Control and Prevention, Hubei province, People's Republic of China.
³ The School of the Public Health of Fudan University, Shanghai, People's Republic of China.
⁴ School of Global Health, Chinese Center for Tropical Diseases Research, Shanghai Jiao Tong University School of Medicine, Shanghai, People's Republic of China.

Abstract

Objective: This study aims to explore the spatiotemporal distribution of schistosomiasis in Jiangling County, and provide insights into the precise schistosomiasis control.

Methods: The descriptive epidemiological method and Joinpoint regression model were used to analyze the changes in infection rates of humans, livestock, snails, average density of living snails and occurrence rate of frames with snails in Jiangling County from 2005 to 2021. Spatial epidemiology methods were used to detect the spatiotemporal clustering of schistosomiasis transmission risk in Jiangling county.

Results: The infection rates in humans, livestock, snails, average density of living snails and occurrence rate of frames with snails in Jiangling County decreased from 2005 to 2021 with statistically significant. The average density of living snails in Jiangling County was spatially clustered in each year, and the Moran's I varied from 0.10 to 0.26. The hot spots were mainly concentrated in some villages of Xionghe Town, Baimasi Town and Shagang Town. The mean center of the distribution of average density of living snails in Jiangling County first moved from northwest to southeast, and then returned from southeast to northwest after 2014. SDE azimuth fluctuated in the range of 111.68°-124.42°. Kernal density analysis showed that the high and medium-high risk areas of Jiangling County from 2005 to 2021 were mainly concentrated in the central and eastern of Jiangling County, and the medium-low and low risk areas were mainly distributed in the periphery of Jiangling County.

Conclusions: The epidemic situation of schistosomiasis decreased significantly in Jiangling County from 2005 to 2021, but the schistosomiasis transmission risk still had spatial clustering in some areas. After transmission interruption, targeted transmission risk intervention strategies can be adopted according to different types of schistosomiasis risk areas.

Copyright: © 2023 Feng et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
China / epidemiology
Humans
Livestock
Risk
Schistosomiasis* / prevention & control
Snails
Spatial Analysis

Grants and funding

This research was funded by the National Key Research and Development Program of China (No.2021YFC2300800)(SL,JX,JF), (No.2021YFC2300803)(SL,CC,JF,XW);National Natural Science Foundation of China (No. 32161143036)(JX,SL,JF,YH). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.