rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Mathematical Analysis for Transmission of COVID-19
  name:
    name part: Shah, Nita H.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: Mittal, Mandeep.
    role:
      role term: editor.
    role:
      role term: edt
    role:
      role term: http://id.loc.gov/vocabulary/relators/edt
  name:
    name part: SpringerLink (Online service)
  type of resource: text
  genre: Electronic books.
  origin info:
    place:
      place term: si
    date issued: 2021
    edition: 1st ed. 2021.
    issuance: monographic
  language:
    language term: eng
  physical description:
    reformatting quality: access
    form: remote
    extent: 1 online resource (VIII, 361 pages 183 illustrations, 179 illustrations in color.)
  abstract: This book describes various mathematical models that can be used to better understand the spread of novel Coronavirus Disease 2019 (COVID-19) and help to fight against various challenges that have been developed due to COVID-19. The book presents a statistical analysis of the data related to the COVID-19 outbreak, especially the infection speed, death and fatality rates in major countries and some states of India like Gujarat, Maharashtra, Madhya Pradesh and Delhi. Each chapter with distinctive mathematical model also has numerical results to support the efficacy of these models. Each model described in this book provides its unique prediction policy to reduce the spread of COVID-19. This book is beneficial for practitioners, educators, researchers and policymakers handling the crisis of COVID-19 pandemic. .
  table of contents: Chapter 1. Optimal Controls to Curtail the Spread of COVID-19 through Social Gatherings: A Mathematical Model -- Chapter 2. A Mathematical Model on COVID-19 Exposed to Quarantine using Z-Control -- Chapter 3. Mathematical Modelling on COVID-19 Transmission due to Religious Activities -- Chapter 4. COVID-19: Modelling and Analysis -- Chapter 5. A Study on impact of BCG-Vaccine on COVID-19 Transmission -- Chapter 6. Modelling and Analysis on COVID-19 Transmission using Machine Learning.
  note: edited by Nita H. Shah, Mandeep Mittal.
  subject:
    topic: Applied mathematics
  subject:
    topic: Engineering mathematics
  subject:
    topic: Statistics
  subject:
    topic: Mathematical and Computational Engineering
  subject:
    topic: Applied Statistics
  classification: TA329-348
  classification: TA640-643
  classification: 519
  related item:
    title info:
      title: Springer Nature eBook
  related item:
    title info:
      title: Mathematical Engineering
  identifier: 9789813362642
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record creation date: 210401
    record change date: 20230330185111.8
    record identifier: in00004420258