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10.1186/s12879-020-05251-9

http://scihub22266oqcxt.onion/10.1186/s12879-020-05251-9
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32689956!7370267!32689956
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suck abstract from ncbi


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pmid32689956      BMC+Infect+Dis 2020 ; 20 (1): 526
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  • Basic epidemiological parameter values from data of real-world in mega-cities: the characteristics of COVID-19 in Beijing, China #MMPMID32689956
  • Wang X; Pan Y; Zhang D; Chen L; Jia L; Li X; Yang P; Wang Q; Macintyre CR
  • BMC Infect Dis 2020[Jul]; 20 (1): 526 PMID32689956show ga
  • BACKGROUND: With the spread of SARS-CoV-2 worldwide, understanding the basic epidemiological parameter values of COVID-19 from real-world data in mega-cities is essential for disease prevention and control. METHODS: To investigate the epidemiological parameters in SARS-CoV-2 infected cases in Beijing, we studied all confirmed cases and close contacts in Beijing from Jan 1st to Apr 3rd 2020. The epidemiological and virological characteristics of SARS-CoV-2 were analyzed. RESULTS: A total of 602 cases were positive for SARS-CoV-2, including 585 confirmed patients and 17 asymptomatic infections. The imported cases were mainly from Wuhan initially and then from abroad. Among 585 confirmed case-patients, the median age was 39 years old. The mean incubation period was 6.3 days. The secondary attack rate among households was higher than social contacts (15.6 vs 4.6%). The secondary attack rate of healthcare workers (HCWs) was higher than non-HCWs' (7.3 vs 4.2%). The basic reproduction number was 2.0, and the average serial interval was 7.6 days. No significant genetic variant was identified. CONCLUSIONS: The transmissibility of SARS-CoV-2 was relatively high, especially among households and from HCWs, which draws specific public health attention. So far, no evidence of widespread circulation of SARS-CoV-2 in communities in Beijing was found.
  • |Adult[MESH]
  • |Asymptomatic Infections/epidemiology[MESH]
  • |Basic Reproduction Number/statistics & numerical data[MESH]
  • |Beijing/epidemiology[MESH]
  • |Betacoronavirus/genetics/isolation & purification[MESH]
  • |COVID-19[MESH]
  • |Cities/statistics & numerical data[MESH]
  • |Coronavirus Infections/*diagnosis/*epidemiology/transmission/virology[MESH]
  • |Family Characteristics[MESH]
  • |Family Health/statistics & numerical data[MESH]
  • |Female[MESH]
  • |Health Personnel/statistics & numerical data[MESH]
  • |Humans[MESH]
  • |Male[MESH]
  • |Pandemics[MESH]
  • |Pneumonia, Viral/*diagnosis/*epidemiology/transmission/virology[MESH]
  • |SARS-CoV-2[MESH]


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