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Moving From COVID-19 Mathematical Models to Vaccine Design Theory, Practice and Experiences [#481918]
English | 2022 | ISBN: 978-9815051926 | 583 pages | True PDF | 64.43 MB
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.
https://rapidgator.net/file/b329bcc08a01b9227db693399e9bf412/hofvp.M.F.C.M.M.t.V.D.T.P.a.E.rar.html
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