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Current trends and future prediction of novel coronavirus disease (COVID-19) epidemic in China: a dynamical modeling analysis. | LitMetric

AI Article Synopsis

  • The COVID-19 outbreak began in Wuhan in December 2019 and spread rapidly across China by January 2020, raising concerns about when the infection will peak and be controlled.
  • Researchers developed a dynamic transmission model using a Markov Chain Monte Carlo algorithm to predict infection trends, estimating the basic reproductive number to be 5.78.
  • They project that daily confirmed cases will peak around February 11, 2020, with an expected peak size of 4,066 cases, and suggest that the infection could be controlled by May 18, 2020, emphasizing the importance of reducing contact and tracing at-risk populations.

Article Abstract

The novel coronavirus disease 2019 (COVID-19) infection broke out in December 2019 in Wuhan, and rapidly overspread 31 provinces in mainland China on 31 January 2020. In the face of the increasing number of daily confirmed infected cases, it has become a common concern and worthy of pondering when the infection will appear the turning points, what is the final size and when the infection would be ultimately controlled. Based on the current control measures, we proposed a dynamical transmission model with contact trace and quarantine and predicted the peak time and final size for daily confirmed infected cases by employing Markov Chain Monte Carlo algorithm. We estimate the basic reproductive number of COVID-19 is 5.78 (95%CI: 5.71-5.89). Under the current intervention before 31 January, the number of daily confirmed infected cases is expected to peak on around 11 February 2020 with the size of 4066 (95%CI: 3898-4472). The infection of COVID-19 might be controlled approximately after 18 May 2020. Reducing contact and increasing trace about the risk population are likely to be the present effective measures.

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Source
http://dx.doi.org/10.3934/mbe.2020173DOI Listing

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