{"title":"Incidence trend of 2019 novel coronavirus diseases (COVID-19) in China","authors":"Yi-fan Chen, Guang-wen Cao","doi":"10.19428/J.CNKI.SJPM.2020.20053","DOIUrl":null,"url":null,"abstract":"Objective \nTo investigate the epidemical characteristics and analyze the incidence trend of 2019 novel coronavirus diseases (COVID-19) in China. \n \n \nMethods \nThe daily new confirmed cases of 2019 novel coronavirus diseases (COVID-19) in China from January 25 to February 8,2020 were collected for epidemiological descriptive analysis. \n \n \nResults \nDuring the period from January 25 to February 8, 2020, the number of daily new confirmed cases fell for five consecutive days, from 890 cases on February 3 to 509 cases on February 8. \n \n \nConclusion \nThe incidence of 2019 novel coronavirus diseases (COVID-19) slowed down in 30 provinces (autonomous regions and municipalities directly under the central government) except Hubei and Xinjiang production and construction corps , but the overall situation is still not optimistic. It is imperative to pay close attention to the origin and destination of migrant workers and the incidence of disease in various areas, and take targeted measures to strengthen prevention and control of the disease. \n \n \nKey words: \n2019 novel coronavirus diseases (COVID-19); China; The prevention and control","PeriodicalId":63878,"journal":{"name":"上海预防医学","volume":"32 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-02-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"上海预防医学","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.19428/J.CNKI.SJPM.2020.20053","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Objective
To investigate the epidemical characteristics and analyze the incidence trend of 2019 novel coronavirus diseases (COVID-19) in China.
Methods
The daily new confirmed cases of 2019 novel coronavirus diseases (COVID-19) in China from January 25 to February 8,2020 were collected for epidemiological descriptive analysis.
Results
During the period from January 25 to February 8, 2020, the number of daily new confirmed cases fell for five consecutive days, from 890 cases on February 3 to 509 cases on February 8.
Conclusion
The incidence of 2019 novel coronavirus diseases (COVID-19) slowed down in 30 provinces (autonomous regions and municipalities directly under the central government) except Hubei and Xinjiang production and construction corps , but the overall situation is still not optimistic. It is imperative to pay close attention to the origin and destination of migrant workers and the incidence of disease in various areas, and take targeted measures to strengthen prevention and control of the disease.
Key words:
2019 novel coronavirus diseases (COVID-19); China; The prevention and control
期刊介绍:
Shanghai Journal of Preventive Medicine(SJPM) sponsored by Shanghai Preventive Medicine Association,ISSN 1004-9231, CN 31-1635/R , was founded in October 1989. Over the past 33 years, the Journal has been “a mentor for preventive health care professionals and an important link between professionals”. It is a platform to exchange academic achievements and information, to encourage the development of new technology, to combine theory with practice, popularization with improvement in the fields of preventive medicine, public health and safety, maternity care, health education, health supervision and community health work.
SJPM has been accepted by many leading databases home and abroad, including:
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Global Health, CABI
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Chemical Abstracts (CA), American Chemical Society
Ulrich's Periodicals Directory(Ulrichsweb)
ICI World of Journals Database
Chinese Academic Journal Comprehensive Evaluation Database
Chinese Core Journal (Selection) Database
Chinese Periodical Full-text Database (CJFD)
Chinese Science and Technology Periodical Database
Wanfang Data - Digital Journal Group
China National Knowledge Infrastructure
Weipu Information Network, etc.