Author: Erida Gjini
Title: Modeling Covid-19 dynamics for real-time estimates and projections: an application to Albanian data Document date: 2020_3_23
ID: ela022bo_16
Snippet: (which was not peer-reviewed) The copyright holder for this preprint . I fitted theoretical model trajectories (I s (t), F (t)) to the observed data, using the mcmcstat package (10) , under a Bayesian framework. The parameters estimated were E 0 , β 0 , f and k or c depending on the assumed mode of control (dynamic/constant). For the other parameters, I assumed fixed values as in Table 1 . In this model, the basic reproduction number is given by.....
Document: (which was not peer-reviewed) The copyright holder for this preprint . I fitted theoretical model trajectories (I s (t), F (t)) to the observed data, using the mcmcstat package (10) , under a Bayesian framework. The parameters estimated were E 0 , β 0 , f and k or c depending on the assumed mode of control (dynamic/constant). For the other parameters, I assumed fixed values as in Table 1 . In this model, the basic reproduction number is given by:
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