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  • Title: [The current epidemic situation and surveillance regarding hemorrhagic fever with renal syndrome in China, 2010].
    Author: Huang LY, Zhou H, Yin WW, Wang Q, Sun H, Ding F, Man TF, Li Q, Feng ZJ.
    Journal: Zhonghua Liu Xing Bing Xue Za Zhi; 2012 Jul; 33(7):685-91. PubMed ID: 22968017.
    Abstract:
    OBJECTIVE: To analyze the surveillance data on hemorrhagic fever with renal syndrome (HFRS) including the epidemiological characteristics and trend of the disease, in 2010. METHODS: Descriptive methods were conducted to analyze the surveillance data in 2010 which were collected from the internet-based National Notifiable Disease Reporting System and 40 HFRS sentinels in China. RESULTS: There were 9526 cases of HFRS reported in 2010 in the country with an annual morbidity of 0.71/10(5), which was higher than that reported in 2009. And the case fatality rate in 2010 was 1.24%. During the year 2010, most cases were reported in spring and autumn-winter season, with November as the peak month. The proportion of cases reported in autumn-winter season was higher than that in spring. The number of cases reported in males was higher than that in females among all the age groups, and similar pattern of mortality could be seen in most of the age groups. The percentage of cases over 60 years old had increased in recent years. Farmers were still under the highest risk. Density and the virus-carrying rate of animal hosts, as well as the infection rate were relatively stable and similar to the previous findings. As to the prevailing species, Apodemus agrarius and Rattus norvegicus were still the most common and leading animal hosts. However, the dominant species in sentinel of Yunnan were Rattus flavipectus and Eothenomys miletus respectively, and a new hantavirus called LUXV was found, namely Eothenomys miletus. CONCLUSION: HFRS cases were widely distributed in most provinces of China, but cases mainly focus on certain areas and present the nature of aggregation. The risk of outbreak could not be ruled out for variety of factors. Population characteristics and seasonal fluctuation had been changing.
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