Y L Wang1, X Wang2, R Q Ren1, L Zhou1, W W Tu1, D X Ni1, Q Li1, Z J Feng1, Y P Zhang1. 1. Public Health Emergency Center, Chinese Center for Disease Control and Prevention, Beijing 102206, China. 2. 302 Military Hospital of China, Beijing 100039, China.
Abstract
Objective: To describe the epidemic of imported infectious diseases in China between 2013 and 2016, including the kinds of infectious diseases, affected provinces, source countries and the epidemiological characteristics, and provide scientific information for the prevention and control of imported infectious diseases. Methods: Data of cases of imported infectious diseases in China from 2013 to 2016 were collected from national information reporting system of infectious diseases, Microsoft Excel 2010 and SPSS 18.0 were used to conduct data cleaning and analysis. Results: From 2013 to 2016, a total of 16 206 imported cases of infectious diseases were reported in China. Of all the cases, 83.12% (13 471 cases) were malaria cases, followed by dengue fever (2 628 cases, 16.22%). The majority of the imported cases were males (14 522 cases, 89.61%). Most cases were aged 20-50 years. Except Zika virus disease and yellow fever, which were mainly reported before and after spring festival, other imported infectious diseases mainly occurred in summer and autumn. The epidemic in affected provinces varied with the types of infectious diseases, and Yunnan reported the largest case number of imported infectious diseases, followed by Jiangsu, Guangxi and Guangdong. The imported cases were mainly from Asian countries, such as Burma, and African countries, such as Angola, Equatorial Guinea and Ghana, which also varied with the types of infectious diseases. Conclusions: We should pay more attention to imported infectious diseases and strengthen the prevention and control measures in our country. In order to reduce the incidence of imported infectious diseases, the health education should be enforced for persons who plan to travel abroad and the active surveillance should be strengthened for returned travelers.
Objective: To describe the epidemic of imported infectious diseases in China between 2013 and 2016, including the kinds of infectious diseases, affected provinces, source countries and the epidemiological characteristics, and provide scientific information for the prevention and control of imported infectious diseases. Methods: Data of cases of imported infectious diseases in China from 2013 to 2016 were collected from national information reporting system of infectious diseases, Microsoft Excel 2010 and SPSS 18.0 were used to conduct data cleaning and analysis. Results: From 2013 to 2016, a total of 16 206 imported cases of infectious diseases were reported in China. Of all the cases, 83.12% (13 471 cases) were malaria cases, followed by dengue fever (2 628 cases, 16.22%). The majority of the imported cases were males (14 522 cases, 89.61%). Most cases were aged 20-50 years. Except Zika virus disease and yellow fever, which were mainly reported before and after spring festival, other imported infectious diseases mainly occurred in summer and autumn. The epidemic in affected provinces varied with the types of infectious diseases, and Yunnan reported the largest case number of imported infectious diseases, followed by Jiangsu, Guangxi and Guangdong. The imported cases were mainly from Asian countries, such as Burma, and African countries, such as Angola, Equatorial Guinea and Ghana, which also varied with the types of infectious diseases. Conclusions: We should pay more attention to imported infectious diseases and strengthen the prevention and control measures in our country. In order to reduce the incidence of imported infectious diseases, the health education should be enforced for persons who plan to travel abroad and the active surveillance should be strengthened for returned travelers.
Authors: Yun Wu; Xiaojun Tian; Nan Song; Minjun Huang; Zhaoyong Wu; Shaogang Li; Nicholas R Waterfield; Bin Zhan; Lei Wang; Guowei Yang Journal: Front Cell Infect Microbiol Date: 2020-10-07 Impact factor: 5.293