In eeholmes/CoV19: Eli's package for figures and data on CoV-19 epidemic

knitr::opts_chunk$set(echo = FALSE, warning=FALSE, message=FALSE, fig.height=6)

This is Aaron King (U Michigan's) course on fitting dynamical models to data and focuses on epidemiological models https://kingaa.github.io/clim-dis/. This page is focused on the parameter estimation part https://kingaa.github.io/clim-dis/parest/parest.html.

Estimating $R_0$

Aaron King's material talks about estimating $R_0$ from the initial exponential part of the curve. That's pretty straight-forward. Here's a more detailed write up of that which also includes a non-parametric (non-SIR based) approach. https://www.sciencedirect.com/science/article/pii/S2468042719300491

Fitting SIR curves

Many of the European curves are fit somewhat by a smooth curve so I'll try fitting an SIR model to those. The US state curves do not fit at all. The curves don't look remotely like most of the European curves.

eeholmes/CoV19 documentation built on Oct. 19, 2021, 10:59 a.m.