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10.3233/CH-209004

http://scihub22266oqcxt.onion/10.3233/CH-209004
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32390611!7369066!32390611
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suck abstract from ncbi

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  • How we should respond to the Coronavirus SARS-CoV-2 outbreak: A German perspective #MMPMID32390611
  • Jung F; Krieger V; Hufert FT; Kupper JH
  • Clin Hemorheol Microcirc 2020[]; 74 (4): 363-372 PMID32390611show ga
  • BACKGROUND: In the early phase of the COVID-19 pandemic Germany missed to set up efficient containment measures. Consequently, the number of cases increased exponentially until a lockdown was implemented to suppress the spread of SARS-CoV-2. Fortunately, Germany has a high capability for coronavirus lab testing and more than 30,000 ICU beds. These capabilities and the lockdown turned out to be an advantage to combat the pandemic and to prevent a health-system overload. AIM: The aim was to predict the plateau day of SARS-CoV-2 infections or deaths. RESULTS: The effect on the viral spread of the German measures taken and the impact on the peak of new infection cases is shown. By normalizing daily case numbers, the plateau day of the current outbreak in Germany could be calculated to be reached at April 12, 2020 (day 103 of 2020). CONCLUSION: Normalized case number curves are helpful to predict the time point at which no further new infections will occur if the epidemic situation remains stable. Upon reaching the plateau day during a lockdown phase, a residual time-period of about 2-3 weeks can be utilized to prepare a safe unlocking period. As can be learned from Asian countries such as South Korea and Taiwan there must be strict rules to keep the risk of infection low. Those include social distancing, face mask wearing in combination with digital contact tracing and serosurveillance studies. Following those rules, a safe dance around the infection curve allows to keep the population at a reduced infection rate.
  • |Betacoronavirus[MESH]
  • |China/epidemiology[MESH]
  • |Communicable Disease Control/*methods[MESH]
  • |Coronavirus Infections/*epidemiology/prevention & control/*therapy[MESH]
  • |Disease Outbreaks[MESH]
  • |Germany/epidemiology[MESH]
  • |Humans[MESH]
  • |Infectious Disease Medicine/trends[MESH]
  • |Intensive Care Units[MESH]
  • |Linear Models[MESH]
  • |Pandemics/prevention & control[MESH]
  • |Pneumonia, Viral/*epidemiology/prevention & control/*therapy[MESH]
  • |Quarantine[MESH]
  • |World Health Organization[MESH]


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  • suck abstract from ncbi

    363 4.74 2020