Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation Strategies

Survival-Convolution Models for Predicting COVID-19 Cases and Assessing Effects of Mitigation Strategies

Countries around the globe have implemented unprecedented measures to mitigate the coronavirus disease 2019 (COVID-19) pandemic. We aim to predict the COVID-19 disease course and compare the effectiveness of mitigation measures across countries to inform policy decision making using a robust and par...

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Bibliographic Details
Main Authors: Qinxia Wang, Shanghong Xie, Yuanjia Wang, Donglin Zeng
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-07-01
Series:Frontiers in Public Health
Subjects:
COVID-19
survival-convolution model
time-varying effective reproduction number
mitigation measures
prediction
Online Access:https://www.frontiersin.org/article/10.3389/fpubh.2020.00325/full

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