Selected article for: "case number and point estimate"

Author: Shi Zhao; Salihu S. Musa; Hao Fu; Daihai He; Jing Qin
Title: Large-scale Lassa fever outbreaks in Nigeria: quantifying the association between disease reproduction number and local rainfall
  • Document date: 2019_4_8
  • ID: 6l8r09cd_8
    Snippet: After the selection of models, we estimate the epidemiological features (parameters) of turning point (Ï„) and reproduction number (R) from the selected models. The turning point is defined as the time point of a sign change in the rate of case accumulation, i.e., from increasing to decreasing or vice versa [16, 18] . The reproduction number, R, is the average number of secondary infectious cases produced by one infectious case during a disease o.....
    Document: After the selection of models, we estimate the epidemiological features (parameters) of turning point (Ï„) and reproduction number (R) from the selected models. The turning point is defined as the time point of a sign change in the rate of case accumulation, i.e., from increasing to decreasing or vice versa [16, 18] . The reproduction number, R, is the average number of secondary infectious cases produced by one infectious case during a disease outbreak [18, 20] . When the population is totally (i.e., 100%) susceptible, the R will equate to the basic reproduction number, commonly denoted as R 0 [20, 21] . The reproduction number (R) is given in Eqn (1),

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