Objective To analyze the spatiotemporal clustering of hemorrhagic fever with renal syndrome (HFRS) in Baoji, Shaanxi province, China, from 1984 to 2017, and to provide a scientific basis for the prevention and control of HFRS. Methods A total of 12 599 HFRS cases were reported in Baoji during 1984-2017 with an annual incidence of 10.55/100 000. The incidence data of HFRS in Baoji from 1984 to 2017 were collected to establish a database. Spatial autocorrelation and hotspot analyses were performed using ArcGIS 10.1 software. Furthermore, a spatiotemporal scan analysis was conducted with SaTScan 9.0 software. Results The fatality rate of HFRS gradually decreased in Baoji and the high-incidence areas were changed continuously, which had a tendency to spread to the north. The global autocorrelation analysis demonstrated spatial clustering in 1994-1998 ( Z=2.137, P=0.003) and 1999-2003 ( Z=2.716, P=0.007), the hotspots in the high-value clustering areas were Meixian, Fufeng, and Qishan counties. Spatiotemporal scan analysis showed that a significant spatiotemporal clustering pattern of HFRS was observed in Baoji. Conclusion A significant spatiotemporal clustering pattern of HFRS is present in Baoji, and effective prevention and control measures should be developed in the areas with high risk of HFRS to prevent the spread of the disease.

Objective To depict the occurrence and management of the first dengue fever (DF) outbreak in Nanning city in 2014, and analyze the cost-effectiveness of the measures of the prevention and control. Methods Data of dengue cases were collected between June and December in 2014, including the case reports, measures on dengue control and prevention, medical costs, financial resource, etc. The method of cost-effectiveness was used to evaluate the burden of DF outbreak. Results Totally 722 dengue cases were reported between June 13 and December 31 in 2014. The epidemic spread through the whole city, including 8 districts and 5 counties. Source of this outbreak was from Flower and Birds Market of Nanning city, Guangxi. There were 14 839 persons who avoided being infected and ￥49 980 000 being saved because of the emergency measures of mosquito control and breeding source elimination. The ratio of cost-effectiveness was 1:7.32. Conclusion The first local dengue fever outbreak of Nanning city in 2014 has been controlled by reducing the population of Aedes mosquito, and the cost-effectiveness analysis showed prevention and control measures of DF outbreak was effective.

【Abstract】 Objective Analyze the prevalent trend of hemorrhagic fever with renal syndrome(HFRS) in Pingyi county, and provide scientific basis for prevention and control of the disease. Methods Epidemiological trends of HFRS in Pingyi county was analyzed with the method of descriptive epidemiology based on the HFRS case data and the surveillance information of host from 1980 to 2006. Results From 1980-2006, there were 9519 cases of HFRS were reported, the average annual incidence rate of this disease was 26.28/100 000, and 277 cases were died with the morbidity of 2.91%. The peak of incidence rate was from 1992 to 1998. The prevalence of HFRS varied periodically and the prevalence period was about 3-5 years, which mostly focused on the spring, fall and winter. It often occurred in low plains with rivers, and the patients were mostly the males who were young and strong. The prevalence trend gradually decreases, and its mortality in autumn and winter was higher than in spring. The rodent density was in the peak in the third quarter and the rate of rodent carrying virus was the highest in the fourth quarter. Conclusion The prevalence of HFRS in Pingyi county had the characteristic of periodicity, seasonal and multitudinous. In recent years, though the HFRS morbidity and incidence rate gradually decreased, the crowd morbidity, mice density and the rate of mouse carrying virus still maintained at the high level. In order to control HFRS, the integrated control measure must be taken including deratization  in the spot and the inoculation of HFRS vaccine in the key crowd.