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

Qinxia Wang | Zendy; Shanghong Xie | Zendy; Yuanjia Wang | Zendy; Donglin Zeng | Zendy

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

Open Access

Author(s)

Qinxia Wang,

Shanghong Xie,

Yuanjia Wang,

Donglin Zeng

Publication year2020

Publication title

carolina digital repository (university of north carolina at chapel hill)

PublisherUniversity of North Carolina at Chapel Hill

Subject(s)artificial intelligence , artificial neural network , computer science , convolution (computer science) , covid-19 , disease , econometrics , environmental science , infectious disease (medical specialty) , mathematics , medicine , outbreak , virology

Language(s)English

DOI10.17615/5ctr-pf24

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