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

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Title: Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences
Description: 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.
Authors: Andr?s Fraguela Collar
Resource Type: eBook.
Subjects: COVID-19 (Disease)
Categories: MEDICAL / Infectious Diseases, MEDICAL / Public Health
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 3378747
RelevancyScore: 1110
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1109.74133300781
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  Data: Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences
– Name: Abstract
  Label: Description
  Group: Ab
  Data: 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.
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  Data: <searchLink fieldCode="DE" term="%22COVID-19+%28Disease%29%22">COVID-19 (Disease)</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 616.24144
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: COVID-19 (Disease)
        Type: general
    Titles:
      – TitleFull: Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences
        Type: main
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      – PersonEntity:
          Name:
            NameFull: Andr?s Fraguela Collar
      – PersonEntity:
          Name:
            NameFull: Andr?s Fraguela Collar
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
            – D: 24
              M: 08
              Type: profile
              Y: 2023
          Identifiers:
            – Type: isbn-print
              Value: 9789815051919
            – Type: isbn-electronic
              Value: 9789815051902
          Titles:
            – TitleFull: Moving From COVID-19 Mathematical Models to Vaccine Design: Theory, Practice and Experiences
              Type: main
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