Transition model for coronavirus management

Antoine Djogbenou; Christian Gourieroux; Joann Jasiak; Paul Rilstone; Maygol Bandehali

doi:10.1111/caje.12550

Transition model for coronavirus management

Antoine Djogbenou
, Christian Gourieroux
, Joann Jasiak
, Paul Rilstone
, Maygol Bandehali

Research output: Contribution to journal › Article › peer-review

Abstract

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.

Original language	English
Pages (from-to)	665-704
Number of pages	40
Journal	Canadian Journal of Economics
Volume	55
Issue number	S1
DOIs	https://doi.org/10.1111/caje.12550
Publication status	Published - 1 Feb 2022
Externally published	Yes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1111/caje.12550

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abstract = "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.",

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Transition model for coronavirus management

Abstract

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