Predicting COVID-19 using past pandemics as a guide: how reliable were mathematical models then, and how reliable will they be now?
During the earliest stages of a pandemic, mathematical models are a tool that can be imple-mented quickly. However, such models are based on meagre data and limited biological understanding. We evaluate the accuracy of various models from recent pandemics (SARS, MERS and the 2009 H1N1 outbreak) as a...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2020-10-01
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| Series: | Mathematical Biosciences and Engineering |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/mbe.2020383?viewType=HTML |