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: Surveying the COVID-19 pandemic and its implications
    sub title: urban health, data technology and political economy
  name:
    name part: Allam, Zaheer
    role:
      role term: creator
    role:
      role term: author.
  name:
    name part: ScienceDirect (Online service)
  type of resource: text
  genre: bibliography
  genre: Electronic books.
  origin info:
    place:
      place term: ne
    date issued: 2020
    copyright date: 2020
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (vii, 143 pages) : color illustrations.
  abstract: "This timely book surveys the COVID-19 from a holistic, high level perspective, examining such topics as Urban health policy responses impact on cities economies, Urban economic impacts of supply chain disruption, The need for coherent short term urban policies that aligns with long term goals, The rise to citizen science initiatives, The role of open data, The need for protocols to support research collaborations, Building larger infectious disease modelling datasets, NS Advanced computing tools for health policy"--
  table of contents: PART 1: A Chronological Account of the Pandemic: The First 150 Days -- Chapter 1. The first 50 days of COVID-19: A detailed chronological timeline and extensive review of literature documenting the pandemic -- Chapter 2. The second 50 days: A detailed chronological timeline and extensive review of literature documenting the COVID-19 pandemic from day 50 to day 100 -- Chapter 3. The third 50 days: A detailed chronological timeline and extensive review of literature documenting the COVID-19 pandemic from day 100 to day 150 -- PART 2: Data Technology -- Chapter 4. Actualizing big data through revised data protocols to render more accurate infectious disease monitoring and modeling -- Chapter 5. The Emergence of voluntary citizen networks to circumvent urban health data sharing restrictions during pandemics -- Chapter 6. The rise of machine intelligence in the COVID-19 pandemic and its impact on health policy -- PART 3: Political Economy -- Chapter 7. Vital COVID-19 economic stimulus packages pose a challenge for long-term environmental sustainability -- Chapter 8. The forceful reevaluation of cash-based transactions by COVID-19 and its opportunities to transition to cashless systems in digital urban networks -- Chapter 9. Oil, health equipment, and trade: revisiting political economy and international relations during the COVID-19 pandemic -- PART 4: Conclusion -- Chapter 10. Underlining the role of data science and technology in supporting supply chains, political stability and health networks during pandemics.
  note: Zaheer Allam.
  note: Includes bibliographical references and index.
  subject:
    topic: COVID-19 (Disease)
    topic: Epidemiology
  subject:
    topic: Public health
    topic: Data processing
  subject:
    topic: COVID-19 (Disease)
    topic: Economic aspects
  subject:
    topic: Epidemiology
  subject:
    topic: Pandemics
  subject:
    topic: Coronavirus
  subject:
    topic: Epidemiology
  subject:
    topic: Pandemics
  subject:
    topic: COVID-19
    topic: Épidémiologie
  subject:
    topic: Santé publique
    topic: Informatique
  subject:
    topic: COVID-19
    topic: Aspect économique
  subject:
    topic: Épidémiologie
  subject:
    topic: Pandémies
  subject:
    topic: pandemics
  subject:
    topic: Epidemiology
  subject:
    topic: Public health
    topic: Data processing
  subject:
    topic: COVID-19 (Disease)
    topic: Economic aspects
  subject:
    topic: COVID-19 (Disease)
    topic: Epidemiology
  classification: RA644.C67 A45 2020eb
  classification: 614.5/92414
  classification: QW 168.5.C8
  related item:
    identifier: (OCoLC)1158482738
  identifier: 9780128243145
  identifier: 0128243147
  identifier: 9780128243138
  identifier: 0128243139
  identifier: http://proxy.library.tamu.edu/login
  record info:
    record content source: YDX
    record creation date: 200728
    record change date: 20260327165026.0
    record identifier: in00005766892
    language of cataloging:
      language term: eng