Transition model for coronavirus management
研究了安大略省COVID-19早期患者的日常医疗转移过程，利用转移模型估计和预测患者数量，并校正数据中的右截断问题。
This paper examines the individual records of patients treated for COVID-19 during the early phase of the pandemic in Ontario. We trace out daily transitions of patients through medical care of different intensity and address the right truncation in the database. We also examine the sojourn times and reveal duration dependence in the treatments for COVID-19. The transition model is used to estimate and forecast the counts of patients treated for COVID-19 in Ontario, while adjusting for the right truncation and right censoring in the sample. This research is based on the Public Health Ontario (PHO) data set from May 7, 2020.