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Endemic features and space-time clustering of schistosomiasis in Xinjian District,Nanchang City from 2009 to 2014 / 中国血吸虫病防治杂志
Article in Chinese | WPRIM | ID: wpr-704272
Responsible library: WPRO
ABSTRACT
Objective To understand the endemic situation and distribution features of schistosomiasis in Xinjian District,Nanchang City,Jiangxi Province from 2009 to 2014,so as to provide a reference for the prevention and control of schistosomia-sis in the future.Methods The endemic data of schistosomiasis in Xinjian District were collected by taking the village as a unit from 2009 to 2014.An endemic database was established,and the SaTScan software was applied to analyze the spatiotemporal aggregation areas of Schistosoma japonicum infection in crowd,Oncomelania hupensis snails and cattle.Results The S.japoni-cum infection rate of crowd was decreased from 0.10%in 2009 to 0.000 68%in 2014.The infection rate of O.hupensis snails was greatly fluctuated from 2009 to 2014,the highest was 1.04%in 2012,but it fell to 0 in 2014.The highest infection rate of cattle was 1.98%in 2012,and it fell to 0 in 2014.The spatial temporal clustering detection showed that three areas of crowd infection were mainly concentrated in 20 villages of Changyi Township,Lianyu Township and Songhu Town;two areas of snail infection were mainly concentrated in five villages of Changyi Township and Nanji Township;one area of cattle infection was mainly con-centrated in three villages of Changyi Township.Conclusions The endemic situation of schistosomiasis presents a declining trend in Xinjian District from 2009 to 2014 as a whole.However,the potential risks of the rebound of the disease still exist,and the six clustering areas of infection are still the key areas for the prevention and control of schistosomiasis in the future.

Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Schistosomiasis Control Year: 2018 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Language: Chinese Journal: Chinese Journal of Schistosomiasis Control Year: 2018 Type: Article