摘要：We congratulate Wang et al. for their nice work on the COVID-19 epidemic in China. As of April 16, 2020, COVID-19 has become a pandemic and is affecting over 200 countries and regions in all continents except Antarctica. Modeling of COVID-19 data is of great importance, because it can provide insight into the dynamics of the spread of SARS-COV-2, the virus that causes the COVID disease, and the effects of mitigation policies. Such insight is helpful for health workers and policy makers to evaluate potential interventions and make forecast about the future trend of the virus spread. This is exactly the aim of Wang et al. In addition, we appreciate the authors’ effort in providing an R package eSIR, which facilitates the data analysis using the proposed model. In what follows, we comment on the modeling approach taken by Wang et al. and suggest future directions for this area of research.
