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Epidemiological Characteristics of Notifiable Infectious Diseases among Foreign Cases in China,2004–2017 被引量:3
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作者 WU Yue LI Zhen Jun +9 位作者 YU Shi Cheng CHEN Liang WANG Ji Chun QIN Yu SONG Yu Dan George F.GAO DONG Xiao Ping WANG Li Ping ZHANG Qun HE Guang Xue 《Biomedical and Environmental Sciences》 SCIE CAS CSCD 2020年第6期421-430,共10页
Objective We aimed to assess the features of notifiable infectious diseases found commonly in foreign nationals in China between 2004 and 2017 to improve public health policy and responses for infectious diseases.Meth... Objective We aimed to assess the features of notifiable infectious diseases found commonly in foreign nationals in China between 2004 and 2017 to improve public health policy and responses for infectious diseases.Methods We performed a descriptive study of notifiable infectious diseases among foreigners reported from 2004 to 2017 in China using data from the Chinese National Notifiable Infectious Disease Reporting System(NNIDRIS). Demographic, temporal-spatial distribution were described and analyzed.Results A total of 67,939 cases of 33 different infectious diseases were reported among foreigners.These diseases were seen in 31 provinces of China and originated from 146 countries of the world. The infectious diseases with the highest incidence number were human immunodeficiency virus(HIV) of18,713 cases, hepatitis B(6,461 cases), hand, foot, and mouth disease(6,327 cases). Yunnan province had the highest number of notifiable infectious diseases in foreigners. There were different trends of the major infectious diseases among foreign cases seen in China and varied among provinces.Conclusions This is the first description of the epidemiological characteristic of notifiable infectious diseases among foreigners in China from 2004 to 2017. These data can be used to better inform policymakers about national health priorities for future research and control strategies. 展开更多
关键词 Foreign cases notifiable infectious diseases Epidemiological characteristics
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Notifiable infectious disease surveillance with data collected by search engine 被引量:4
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作者 Xi-chuan ZHOU1,Hai-bin SHEN2 (1Department of Information Science and Electronic Engineering,Zhejiang University,Hangzhou 310027,China) (2School of Electrical Engineering,Zhejiang University,Hangzhou 310027,China) 《Journal of Zhejiang University-Science C(Computers and Electronics)》 SCIE EI 2010年第4期241-248,共8页
Notifiable infectious diseases are a major public health concern in China,causing about five million illnesses and twelve thousand deaths every year.Early detection of disease activity,when followed by a rapid respons... Notifiable infectious diseases are a major public health concern in China,causing about five million illnesses and twelve thousand deaths every year.Early detection of disease activity,when followed by a rapid response,can reduce both social and medical impact of the disease.We aim to improve early detection by monitoring health-seeking behavior and disease-related news over the Internet.Specifically,we counted unique search queries submitted to the Baidu search engine in 2008 that contained disease-related search terms.Meanwhile we counted the news articles aggregated by Baidu's robot programs that contained disease-related keywords.We found that the search frequency data and the news count data both have distinct temporal association with disease activity.We adopted a linear model and used searches and news with 1–200-day lead time as explanatory variables to predict the number of infections and deaths attributable to four notifiable infectious diseases,i.e.,scarlet fever,dysentery,AIDS,and tuberculosis.With the search frequency data and news count data,our approach can quantitatively estimate up-to-date epidemic trends 10–40 days ahead of the release of Chinese Centers for Disease Control and Prevention(Chinese CDC)reports.This approach may provide an additional tool for notifiable infectious disease surveillance. 展开更多
关键词 notifiable infectious diseases Disease surveillance Search engine
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