| Description |
1 online resource (vii, 143 pages) : color illustrations |
| 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 |
| Summary |
"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"-- From the publisher's description |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Description based on online resource; title from digital title page (viewed on August 10, 2020) |
| Subject |
COVID-19 (Disease) -- Epidemiology
|
|
Public health -- Data processing
|
|
COVID-19 (Disease) -- Economic aspects
|
|
Epidemiology.
|
|
Pandemics.
|
|
Coronavirus
|
|
Epidemiology
|
|
Pandemics
|
|
pandemics.
|
|
Epidemiology
|
|
Public health -- Data processing
|
|
COVID-19 (Disease) -- Economic aspects
|
|
COVID-19 (Disease) -- Epidemiology
|
| Form |
Electronic book
|
| ISBN |
9780128243145 |
|
0128243147 |
|
