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1.
Chinese Journal of Schistosomiasis Control ; (6): 260-263, 2018.
Artículo en Chino | WPRIM | ID: wpr-704272

RESUMEN

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.

2.
Chinese Journal of Epidemiology ; (12): 6-9, 2009.
Artículo en Chino | WPRIM | ID: wpr-329548

RESUMEN

Objective To probe time-space clustering on the distribution of visceral leishmaniasis (VL) in Kashgar Region.Methods Based on the geographic information system,a Poisson model of time-space statistical software was applied to analyze data over the past 11 years in the Kashgar Region.Zones with clustering phenomenon were conformed by geographic location and remote sensing images.Results There existed three high risk clustering zones and corresponding time frames of VL in Kashgar Region.The center location of zone A was located in E 76.08°,N 39.52°,with radius as 6.58 km.The high risk time frame was from January 1st of 1999 to December 31st of 2003.Within the zone and time frame,the relative risk (RR) of VL incidence was 45.98 times higher than those outside the scope (P<0.0001).Zone B's center location was at E 79.20°,N 39.91°,with the radius as 4.93 km.Its high risk time frame was from January 1st of 2002 to December 31st of 2006.Within the zone and time frame,the RR of VL incidence was 9.58 times higher than those outside of the scope (P<0.0001).Zone C's center location was in E 76.23°,N 39.40°,and the radius was 7.63 km,with the high risk time frame from January 1st of 2000 to December 31st of 2004.Within the zone and time frame,the RR of VL incidence was 5.18 times higher than the one from outside of the scope (P<0.0001).Conclusion The incidence of VL in Kashgar Region was non-randomly distributed while there existed obvious time-space clustering,with all of three high risk clustering zones located in oasis area where appeared the focus area for control and surveillance of VL.

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