Chin J Schisto Control ›› 2017, Vol. 29 ›› Issue (2): 163-168.

### Temporal and spatial distribution of Schistosoma infection of population and its risk factors in Eastern Dongting Lake area in 2012 and 2014

PAN Xiang| YANG Ya| LI Lin-han| CHENG Wan-ting| YANG Yu| SONG Xiu-xia| ZHOU Yi-biao*| JIANG Qing-wu

1. Department of Epidemiology| School of Public Health University| Fudan University| Shanghai 200032| China
• Online:2017-04-22 Published:2017-04-23
• Contact: ZHOU Yi?biao

### 2012年和2014年东洞庭湖区人群血吸虫感染时空分布及其影响因素分析

1. 复旦大学公共卫生学院流行病学教研室、公共卫生安全教育部重点实验室、热带病学研究中心（上海 200032）
• 通讯作者: 周艺彪
• 作者简介:潘翔|男|硕士研究生。研究方向：疾病预防与控制
• 基金资助:
国家自然科学基金（81673236）

Abstract: Objective To investigate the temporal and spatial distribution of Schistosoma infection of population and its risk factors in Eastern Dongting Lake area in 2012 and 2014， so as to provide the reference for formulating effective intervention measures. Methods Junshan District was selected as a study field in Eastern Dongting Lake area. The method of spatial autocorrelation analysis was applied to analyze the change of spatial distribution of Schistosoma infection in Junshan District in 2012 and 2014. The spatial regression model was fitted to detect the risk factors for human infection. Results The livestock infection rate in 2013 was lower than that in 2011. The average infection rate of schistosome was reduced to 0.55% in 2014. The spatial autocorrelation existed on the distribution of schistosomiasis in Junshan District in both 2012 and 2014 and 4 high incidence villages were identified. The results of the spatial error model showed that the prevalence of human infection was positively correlated with the infection rate of the livestock and the area of the susceptible environment in 2012. The spatial lag model showed that the prevalence of human schistosomiasis was positively correlated with the area of the susceptible environment， but not with the infection rate of livestock. Conclusion The measures involving grazing prohibition and phasing out cattle and sheep are remarkably effective and should continue on the basis of the current spatial distribution of schistosomiasis in this area.

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