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Moving From COVID-19 Mathematical Models to Vaccine Design:...

Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences

Andrés Fraguela-Collar
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This compendium represents a set of guides to understanding the challenging scientific, epidemiological, clinical, social, and economic phenomenon that is represented by the COVID-19 pandemic.

The book explains the mathematical modeling of COVID-19 infection, with emphasis on traditional epidemiological principles. It represents a rigorous, comprehensive and multidisciplinary approach to a complex phenomenon. The chapters take into account the knowledge arising from different disciplines (epidemiology, pathophysiology, immunology, medicine, biology, vaccine development, etc.). It also covers COVID-19 data analysis, giving the reader a perspective of statistics and data science, and includes a discussion about social and economic issues of the pandemic. Each chapter is devoted to a specific topic, and is contributed by experts in epidemiology.

Because of its multidisciplinary nature, this book is intended as a reference on mathematical models and basic immunotherapy for COVID-19 for a broad community of readers, from scholars who have scientific training, to general readers who have an interest in the disease.
年:
2022
出版社:
Bentham Science Publishers
语言:
english
页:
581
ISBN 10:
981505192X
ISBN 13:
9789815051926
文件:
PDF, 64.43 MB
IPFS:
CID , CID Blake2b
english, 2022
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