A simple model for fitting mild, severe, and known cases during an epidemic with an application to the current SARS-CoV-2 pandemic
- PMID: 33521406
- PMCID: PMC7833529
- DOI: 10.1016/j.idm.2021.01.002
A simple model for fitting mild, severe, and known cases during an epidemic with an application to the current SARS-CoV-2 pandemic
Abstract
One of the major difficulties with modelling an ongoing epidemic is that often data is limited or incomplete, making it hard to estimate key epidemic parameters and outcomes (e.g. attack rate, peak time, reporting rate, reproduction number). In the current study, we present a model for data-fitting limited infection case data which provides estimates for important epidemiological parameters and outcomes. The model can also provide reasonable short-term (one month) projections. We apply the model to the current and ongoing COVID-19 outbreak in Canada both at the national and provincial/territorial level.
Keywords: Basic reproduction number; COVID-19; Epidemic curve fitting; Other words.
© 2021 The Authors.
Conflict of interest statement
The authors have no conflicts of interest arising from or with respect to this study.
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