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Reporting the life tracks of confirmed cases can effective prevent and control the COVID-19 outbreak in China
Jie Zhang; Tianjing Wang; Jiaqi Wang; Jingjing Chen; Hongwei Yan; Lin Sun.
Affiliation
  • Jie Zhang; Tongji University
  • Tianjing Wang; Tongji University
  • Jiaqi Wang; Tongji University
  • Jingjing Chen; Tongji University
  • Hongwei Yan; Tongji University
  • Lin Sun; Shanghai Jiaotong University
Preprint in English | medRxiv | ID: ppmedrxiv-20050450
ABSTRACT
BackgroundSince late December 2019, a novel coronavirus (COVID-19) has emerged in Wuhan and rapidly spread throughout China. Fears were raised higher, effective policies for prevention and control were concerned. MethodsTill March 3, 91273 confirmed COVID-19 cases were included in. Using Mann-Whitney U test, the provinces that reported the life tracks of confirmed cases to public had lower increased in daily new confirmed cases. ResultsCompared with the paired province, Tianjin, Jilin, Gansu, Shanxi, Hainan and Guizhou had significant differences in the number of new confirmed cases and have lower mean rank (P<0.05). Shanghai had a lower mean rank (P=0.175) but no significant difference. Besides, the successful prevention and control work need other effective strategies, such as real time media coverage, isolating the suspected cases or close contacts, delaying the return of work, closing schools, wearing facial masks, and disinfecting the communities, et.al. ConclusionsStrategies must be adjusted in real time according to the epidemic. Reporting the life tracks of confirmed cases was an effective way to control the epidemic. They may be suggestions to other counties with an outbreak of COVID-19.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Observational study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Type of study: Experimental_studies / Observational study Language: English Year: 2020 Document type: Preprint
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