COVID-19 almost brought the world to a halt, with many health facilities overstretched in some countries and health decision makers around the world left bewildered, at the glance of an unprecedented and highly infectious outbreak.

This book showcases a collection of important predictive models that used during the pandemic, and discusses and compares their efficacy and limitations.

This book covers recent research on the COVID-19 pandemic. It includes the analysis, implementation, usage, and proposed ideas and models with architecture to handle the COVID-19 outbreak.

This book highlights the estimate of epidemic characteristics for different countries/regions in the world with the use of known SIR (susceptible-infected-removed) model for the dynamics of the epidemic, the known exact solution of the ...

Researchers will also find this book very helpful.

The book aims to outline the issues of AI and COVID-19, involving predictions,medical support decision-making, and possible impact on human life.

This book presents intelligent data analysis as a tool to fight against COVID-19 pandemic.

Academic Paper from the year 2020 in the subject Computer Science - Applied, grade: A, , language: English, abstract: Analysis and modelling of the daily observations is of the interest for both academic and practical needs during the worst ...

The centers for Disease Control and Prevention (CDC), confirmed the very first case of 2019 Novel Coronavirus (2019-nCoV) in the United States in the state of Washington, on January 21, 2020.

Researchers will also find this book very helpful.