Modeling and forecasting the COVID‐19 pandemic time‐series data
Author:
Affiliation:
1. Nuffield College, Oxford, UK
2. Climate Econometrics and Institute for New Economic Thinking at the Oxford Martin School, University of Oxford, Oxford, UK
3. Magdalen College, Oxford, UK
Funder
European Research Council
Institute for New Economic Thinking
Robertson Foundation
Publisher
Wiley
Subject
General Social Sciences
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1111/ssqu.13008
Reference20 articles.
1. Real estimates of mortality following COVID-19 infection
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3. Brazeau N. F. R.Verity S.Jenks H.Fu C.Whittaker P.Winskill I.Dorigatti P.Walker S.Riley R. P.Schnekenberg H.Hoeltgebaum T. A.Mellan S.Mishra J. T.Unwin O. J.Watson Z. M.Cucunubá M.Baguelin L.Whittles S.Bhatt A. C.Ghani N. M.Ferguson andL. C.Okell.2020. “COVID‐19 Infection Fatality Ratio: Estimates from Seroprevalence.”Technical Report. Imperial College London. Available athttps://doi.org/10.25561/83545
4. Forecasting Principles from Experience with Forecasting Competitions
5. A New Framework and Software to Estimate Time-Varying Reproduction Numbers During Epidemics
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