Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
. 2021:6:313-323.
doi: 10.1016/j.idm.2021.01.002. Epub 2021 Jan 15.

A simple model for fitting mild, severe, and known cases during an epidemic with an application to the current SARS-CoV-2 pandemic

Affiliations

A simple model for fitting mild, severe, and known cases during an epidemic with an application to the current SARS-CoV-2 pandemic

Matthew I Betti et al. Infect Dis Model. 2021.

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.

PubMed Disclaimer

Conflict of interest statement

The authors have no conflicts of interest arising from or with respect to this study.

Figures

Fig. 1
Fig. 1
Effective reproduction number Reff for Canada, ON, BC, NB, PE. Data (black dots), and the eight-day rolling average (blue line) are shown. The shaded area shows the 95% confidence interval around the mean.
Fig. 2
Fig. 2
Model fits at the national level. The mean values and 95% confidence interval of all model populations are shown on a linear and log scale (panels (a)–(b)). Panels (c) and (d) show the resulting number of new cases per day, and the national value of Reff over time. (top rows) mild cases Im (red), severe cases Is (blue), known cases CK (green), total cases CI (green). Panels (a)–(c)) dark blue and red points are the known data. In all plots the shaded area shows 95% confidence intervals around the mean.
Fig. 3
Fig. 3
Mean fits of model (1) to cumulative case data for ON, BC, NB, and PE from left to right, shown on a (top row) linear and (bottom row) log scale. Mild Im (red) and severe Is (blue) cases are shown, as well as, known cases CK (green) and the total number of infections CI (purple). Shaded area shows 95% confidence intervals. The dark blue and red points indicate the case data.
Fig. 4
Fig. 4
The number of new cases per day for ON, BC, NB, and PE (left to right). Subplots (e), (f), (g) and (h) are the same plots without the confidence intervals for clarity. The mean of the model fits is shown (blue line), with 95% confidence interval (shaded area) in the top row. The dark blue and red point indicate the case data.
Fig. 5
Fig. 5
Model results for the effective reproduction number for ON, BC, NB and PE. Shaded area shows the 95% confidence interval around the mean (blue line)

References

    1. Anastassopoulou C., Russo L., Tsakris A., Siettos C. Data-based analysis, modelling and forecasting of the COVID-19 outbreak. PloS One. 2020;15(3) - PMC - PubMed
    1. Aylward B., Liang W., Dong X., Eckmanns T., Fisher D. 2020. Report of the WHO-China joint mission on coronavirus disease 2019 (COVID-19)
    1. Canada S. 2020. Table 17-10-0005-01 Population estimates on July 1st, by age and sex.
    1. Canada S. Statistics Canada; 2020. Table 17-10-0009-01 Population estimates, quarterly.
    1. Daniel C., Frid L., Rayfield B., Embrey A. 2020. A scenario-based modeling framework for projecting COVID-19 infections and deaths: Case study application for Canada.

LinkOut - more resources