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Transition model for coronavirus management
Author(s) -
Djogbenou Antoine,
Gourieroux Christian,
Jasiak Joann,
Rilstone Paul,
Bandehali Maygol
Publication year - 2022
Publication title -
canadian journal of economics/revue canadienne d'économique
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.773
H-Index - 69
eISSN - 1540-5982
pISSN - 0008-4085
DOI - 10.1111/caje.12550
Subject(s) - covid-19 , humanities , political science , demography , welfare economics , sociology , medicine , economics , philosophy , disease , pathology , infectious disease (medical specialty)
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.