ArticleInfectious Disease Modelling2021
A simple model for fitting mild, severe, and known cases during an epidemic with an application to the current SARS-CoV-2 pandemic.
Article in Infectious Disease Modelling, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed.
- Differential impacts of the COVID-19 pandemic on sociodemographic groups: A mathematical model framework.PloS one · 2026Article
- A Retrospective Study of the Effects of COVID-19 Non-Pharmaceutical Interventions on Influenza in Canada.Infectious disease reports · 2025Article
- An Epidemic Model with Infection Age and Vaccination Age Structure.Infectious disease reports · 2024Article
- Estimation of epidemiological parameters and ascertainment rate from early transmission of COVID-19 across Africa.Royal Society open science · 2023Article
- Multiple cohort study of hospitalized SARS-CoV-2 in-host infection dynamics: Parameter estimates, identifiability, sensitivity and the eclipse phase profile.Journal of theoretical biology · 2023Article
- COVID-19 Vaccination and Healthcare Demand.Bulletin of mathematical biology · 2023Article
- Modelling policy combinations of vaccination and transmission suppression of SARS-CoV-2 in Rio de Janeiro, Brazil.Infectious Disease Modelling · 2022Article
- Mathematical modeling of COVID-19 in India and its states with optimal control.Modeling earth systems and environment · 2022Article
- A COVID-19 Epidemic Model Predicting the Effectiveness of Vaccination in the US.Infectious disease reports · 2021Article
- Article
- Integrated vaccination and non-pharmaceutical interventions based strategies in Ontario, Canada, as a case study: a mathematical modelling study.Journal of the Royal Society, Interface · 2021Article
- Article
- Mathematical modeling of COVID-19 in India and Nepal with optimal control and sensitivity analysis.European physical journal plus · 2021Article
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Authors and funding
2 authors.
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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.
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