A simple model for fitting mild, severe, and known cases during an epidemic with an application to the current SARS-CoV-2 pandemic-Reference-Cited by-同舟云学术

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

Published:2021 Issue: Volume:6 Page:313-323
ISSN:2468-0427
Container-title:Infectious Disease Modelling
language:en
Short-container-title:Infectious Disease Modelling

Author:

Betti Matthew I.^ORCID,Heffernan Jane M.

Funder

Natural Sciences and Engineering Research Council of Canada

Publisher

Elsevier BV

Subject

Applied Mathematics,Infectious Diseases,Health Policy

Reference16 articles.

1. Data-based analysis, modelling and forecasting of the COVID-19 outbreak;Anastassopoulou;PloS One,2020

2. Report of the WHO-China joint mission on coronavirus disease 2019 (COVID-19);Aylward,2020

3. Table 17-10-0005-01 Population estimates on July 1st, by age and sex;Canada,2020

4. Table 17-10-0009-01 Population estimates, quarterly;Canada,2020

5. A scenario-based modeling framework for projecting COVID-19 infections and deaths: Case study application for Canada;Daniel,2020

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1. Estimation of epidemiological parameters and ascertainment rate from early transmission of COVID-19 across Africa;Royal Society Open Science;2023-09

2. 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;2023-05

3. COVID-19 Vaccination and Healthcare Demand;Bulletin of Mathematical Biology;2023-03-17

4. Multiple cohort study of hospitalized SARS-CoV-2 in-host infection dynamics: parameter estimates, sensitivity and the eclipse phase profile;2022-06-22

5. Modelling policy combinations of vaccination and transmission suppression of SARS-CoV-2 in Rio de Janeiro, Brazil;Infectious Disease Modelling;2022-03

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