Selected article for: "basic reproduction number and primary case"
Author: Zian Zhuang; Shi Zhao; Qianying Lin; Peihua Cao; Yijun Lou; Lin Yang; Shu Yang; Daihai He; Li Xiao
Title: Preliminary estimating the reproduction number of the coronavirus disease (COVID-19) outbreak in Republic of Korea and Italy by 5 March 2020
  • Document date: 2020_3_6
    • ID: etl9uwt7_6
    Snippet: Following [2, 3] , we assumed that number of secondary cases associated with a primary COVID-19 case follows a negative binomial (NB) distribution, with means R0 and dispersion parameter k [3] . Here, the R0 is the basic reproduction number of COVID-19. The k measures the likelihood of occurrence of super-spreading events (or other factors) which could vary the growth rate. If k is smaller than 1, these data indicate occurrence of super-spreading.....
    Document: Following [2, 3] , we assumed that number of secondary cases associated with a primary COVID-19 case follows a negative binomial (NB) distribution, with means R0 and dispersion parameter k [3] . Here, the R0 is the basic reproduction number of COVID-19. The k measures the likelihood of occurrence of super-spreading events (or other factors) which could vary the growth rate. If k is smaller than 1, these data indicate occurrence of super-spreading events (larger proportion of 'super-spreaders' or 'dead-ends' in infected individuals) or some other factors which could vary the growth rate; otherwise if k is larger than 1, these data do not indicate occurrence of super-spreading events [4] .

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