A data-driven model to describe and forecast the dynamics of COVID-19 transmission
Abstract
This paper proposes a dynamic model to describe and forecast the dynamics of the coronavirus disease COVID-19 transmission. The model is based on an approach previously used to describe the Middle East Respiratory Syndrome (MERS) epidemic. This methodology is used to describe the COVID-19 dynamics in six countries where the pandemic is widely spread, namely China, Italy, Spain, France, Germany, and the USA. For this purpose, data from the...
Paper Details
Title
A data-driven model to describe and forecast the dynamics of COVID-19 transmission
Published Date
Jul 31, 2020
Journal
Volume
15
Issue
7
Pages
e0236386 - e0236386
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