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  • 标题:Estimation of Daily Reproduction Numbers during the COVID-19 Outbreak
  • 本地全文:下载
  • 作者:Jacques Demongeot ; Kayode Oshinubi ; Mustapha Rachdi
  • 期刊名称:Computation
  • 电子版ISSN:2079-3197
  • 出版年度:2021
  • 卷号:9
  • 期号:10
  • 页码:109
  • DOI:10.3390/computation9100109
  • 语种:English
  • 出版社:MDPI Publishing
  • 摘要:(1) Background: The estimation of daily reproduction numbers throughout the contagiousness period is rarely considered, and only their sum R<sub>0</sub> is calculated to quantify the contagiousness level of an infectious disease. (2) Methods: We provide the equation of the discrete dynamics of the epidemic’s growth and obtain an estimation of the daily reproduction numbers by using a deconvolution technique on a series of new COVID-19 cases. (3) Results: We provide both simulation results and estimations for several countries and waves of the COVID-19 outbreak. (4) Discussion: We discuss the role of noise on the stability of the epidemic’s dynamics. (5) Conclusions: We consider the possibility of improving the estimation of the distribution of daily reproduction numbers during the contagiousness period by taking into account the heterogeneity due to several host age classes.
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