Selected article for: "epidemic modeling and reproduction number"

Author: Peter Boldog; Tamas Tekeli; Zsolt Vizi; Attila Denes; Ferenc Bartha; Gergely Rost
Title: Risk assessment of novel coronavirus COVID-19 outbreaks outside China
  • Document date: 2020_2_5
  • ID: ecu579el_5
    Snippet: To better assess the epidemic risk of 2019-nCoV, among the key parameters to be approximated are the basic reproduction number R 0 and the incubation period. We summarize previous efforts made toward those ends in Table 1 , and present a short summary below. The majority of the estimates for R 0 range between 2 and 3. Obtaining these was done by modeling epidemic trajectories and comparing them to the results of [16] as a baseline [19, 20] , usin.....
    Document: To better assess the epidemic risk of 2019-nCoV, among the key parameters to be approximated are the basic reproduction number R 0 and the incubation period. We summarize previous efforts made toward those ends in Table 1 , and present a short summary below. The majority of the estimates for R 0 range between 2 and 3. Obtaining these was done by modeling epidemic trajectories and comparing them to the results of [16] as a baseline [19, 20] , using a negative binomial distribution to generate secondary infections. Liu et al. utilized the exponential growth and maximum likelihood estimation methods and found that the 2019-nCoV may have a higher pandemic risk than SARS-CoV in 2003 [21] .

    Search related documents:
    Co phrase search for related documents
    • binomial distribution and exponential growth: 1, 2
    • binomial distribution and incubation period: 1, 2, 3, 4, 5
    • binomial distribution and maximum likelihood: 1, 2, 3, 4, 5, 6
    • binomial distribution and maximum likelihood estimation method: 1
    • binomial distribution and negative binomial distribution: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • binomial distribution and secondary infection: 1, 2, 3, 4, 5
    • epidemic risk and estimation method: 1, 2, 3
    • epidemic risk and exponential growth: 1, 2, 3, 4, 5
    • epidemic risk and incubation period: 1, 2, 3, 4, 5, 6, 7, 8
    • epidemic risk and maximum likelihood: 1
    • epidemic risk and pandemic risk: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
    • epidemic risk and SARS CoV pandemic risk: 1, 2
    • epidemic risk and secondary infection: 1, 2
    • epidemic risk assess and exponential growth: 1
    • epidemic trajectory and exponential growth: 1, 2, 3, 4, 5, 6, 7
    • epidemic trajectory and incubation period: 1, 2, 3, 4, 5
    • epidemic trajectory and maximum likelihood: 1
    • epidemic trajectory and secondary infection: 1
    • epidemic trajectory model and exponential growth: 1