Author: Smirnova, Alexandra; Chowell, Gerardo
Title: A primer on stable parameter estimation and forecasting in epidemiology by a problem-oriented regularized least squares algorithm Document date: 2017_5_25
ID: 3fwla5ox_2
Snippet: (1.1) to estimate crucial disease parameters, such as the intrinsic growth rate (r), the deceleration of growth (p), the final size of the epidemic (K), the disease turning point (t), and the extent of deviation from the S-shaped dynamics of the classical logisticgrowth curve (a), see Fig. 1 . In (1.1), T is the duration of the outbreak......
Document: (1.1) to estimate crucial disease parameters, such as the intrinsic growth rate (r), the deceleration of growth (p), the final size of the epidemic (K), the disease turning point (t), and the extent of deviation from the S-shaped dynamics of the classical logisticgrowth curve (a), see Fig. 1 . In (1.1), T is the duration of the outbreak.
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