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Title: A simple approach to estimate the instantaneous case fatality ratio : using the publicly available COVID-19 surveillance data in Canada as an example
Authors: Zhao, S 
Issue Date: 2020
Source: Infectious disease modelling, 2020, v. 5, p. 575-579
Abstract: The case fatality ratio (CFR) is one of the key measurements to evaluate the clinical severity of infectious diseases. The CFR may vary due to change in factors that affect the mortality risk. In this study, we developed a simple likelihood-based framework to estimate the instantaneous CFR of infectious diseases. We used the publicly available COVID-19 surveillance data in Canada for demonstration. We estimated the mean fatality ratio of reported COVID-19 cases (rCFR) in Canada was estimated at 6.9% (95%CI: 4.5–10.6). We emphasize the extensive implementation of the constructed instantaneous CFR that is to identify the key determinants affecting the mortality risk.
Keywords: Canada
Case fatality ratio
COVID-19
Epidemic
Modelling
Publisher: Elsevier
Journal: Infectious disease modelling 
ISSN: 2468-0427
DOI: 10.1016/j.idm.2020.08.002
Rights: ©2020 The Authors. Production and hosting by Elsevier B.V. on behalf of KeAi Communications Co., Ltd. This is an open access article under theCC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
The following publication Zhao, S. (2020). A simple approach to estimate the instantaneous case fatality ratio: Using the publicly available COVID-19 surveillance data in Canada as an example. Infectious Disease Modelling, 5, 575-579, is available at https://doi.org/10.1016/j.idm.2020.08.002
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