Predictive performance of international COVID-19 mortality forecasting models

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.

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Autores principales: 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
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2021
Materias:
Science
Q
Acceso en línea:https://doaj.org/article/52bc9ab11980476da45be7562b888e3f
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https://doaj.org/article/52bc9ab11980476da45be7562b888e3f

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