ArticleInfectious Disease Modelling2020
A simple approach to estimate the instantaneous case fatality ratio: Using the publicly available COVID-19 surveillance data in Canada as an example.
Article in Infectious Disease Modelling, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- A novel method to monitor COVID-19 fatality rate in real-time, a key metric to guide public health policy.Scientific reports · 2022Article
- Novel methods for estimating the instantaneous and overall COVID-19 case fatality risk among care home residents in England.PLoS computational biology · 2022Article
- Transmission dynamics of COVID-19 pandemic with combined effects of relapse, reinfection and environmental contribution: A modeling analysis.Results in physics · 2022Article
- Inferring the Association between the Risk of COVID-19 Case Fatality and N501Y Substitution in SARS-CoV-2.Viruses · 2021Article
- Exploring the percentage of COVID-19 cases reported in the community in Canada and associated case fatality ratios.Infectious Disease Modelling · 2021Article
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Authors and funding
1 author.
Funding
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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.
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