Selected article for: "generation interval and growth rate"

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_10
    Snippet: Here, γ is the intrinsic per capita growth rate from the nonlinear growth models, and κ is the serial interval of the Lassa virus (LASV) infection. The serial interval (i.e., the generation interval) is the time between successive cases in a chain of transmission [20, 22, 23] . The function h(•) represents the probability distribution of κ. Hence, the function M(•) is the Laplace transform of h(•), and specifically, M(•) is the moment .....
    Document: Here, γ is the intrinsic per capita growth rate from the nonlinear growth models, and κ is the serial interval of the Lassa virus (LASV) infection. The serial interval (i.e., the generation interval) is the time between successive cases in a chain of transmission [20, 22, 23] . The function h(•) represents the probability distribution of κ. Hence, the function M(•) is the Laplace transform of h(•), and specifically, M(•) is the moment generating function (MGF) of a probability distribution [20] . According to previous work [24], we assume h(κ) to follow a Gamma distribution with a mean of 7.8 days and a standard deviation (SD) of 10.7 days. Therefore, R can be estimated with the values of γ from the fitted models [18, 20, 25].

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