An epidemiological forecast model and software assessing interventions on COVID-19 epidemic in China
Peter X Song, Lili Wang, Yiwang Zhou, Jie He, Bin Zhu, Fei Wang, Lu Tang, Marisa Eisenberg
doi: https://doi.org/10.1101/2020.02.29.20029421
Abstract
We develop a health informatics toolbox that enables public health workers to timely analyze and evaluate the time-course dynamics of the novel coronavirus (COVID-19) infection using the public available data from the China CDC. This toolbox is built upon a hierarchical epidemiological model in which two observed time series of daily proportions of infected and removed cases are emitted from the underlying infection dynamics governed by a Markov SIR infectious disease process.
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