Why is it difficult to accurately predict the COVID-19 epidemic?
Open Access
- 25 March 2020
- journal article
- research article
- Published by Elsevier BV in Infectious Disease Modelling
- Vol. 5, 271-281
- https://doi.org/10.1016/j.idm.2020.03.001
Abstract
No abstract availableKeywords
Funding Information
- Natural Science and Engineering Research Council
- Canada Foundation for Innovation
This publication has 18 references indexed in Scilit:
- On the Identifiability of Transmission Dynamic Models for Infectious DiseasesGenetics, 2016
- Ensemble samplers with affine invarianceCommunications in Applied Mathematics and Computational Science, 2010
- Structural and practical identifiability analysis of partially observed dynamical models by exploiting the profile likelihoodBioinformatics, 2009
- Introduction to Applied Bayesian Statistics and Estimation for Social ScientistsPublished by Springer Science and Business Media LLC ,2007
- Modelling strategies for controlling SARS outbreaksProceedings Of The Royal Society B-Biological Sciences, 2004
- Model Parameters and Outbreak Control for SARSEmerging Infectious Diseases, 2004
- A compartmental model for the analysis of SARS transmission patterns and outbreak control measures in ChinaApplied Mathematics and Computation, 2004
- Model selection in ecology and evolutionTrends in Ecology & Evolution, 2004
- Transmission Dynamics and Control of Severe Acute Respiratory SyndromeScience, 2003
- Further analysis of the data by Akaike's information criterion and the finite correctionsCommunications in Statistics - Theory and Methods, 1978