Predictive performance of international COVID-19 mortality forecasting models
Forecasts of COVID-19 mortality have been critical inputs into a range of policies, and decision-makers need information about their predictive performance. Here, the authors gather a panel of global epidemiological models and assess their predictive performance across time and space.
Bibliographic Details
| Main Authors: |
Joseph Friedman,
Patrick Liu,
Christopher E. Troeger,
Austin Carter,
Robert C. Reiner,
Ryan M. Barber,
James Collins,
Stephen S. Lim,
David M. Pigott,
Theo Vos,
Simon I. Hay,
Christopher J. L. Murray,
Emmanuela Gakidou |
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| Format: | Article
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| Language: | English |
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| Published: |
Nature Publishing Group
2021-05-01
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| Series: | Nature Communications
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| Online Access: | https://doi.org/10.1038/s41467-021-22457-w
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