Using Data Science to Understand the Coronavirus Pandemic
Published on 30. September 2021
80 pages
978-1-80262-836-4 (ISBN)
Description
The World Health Organization declared a global pandemic as the coronavirus rapidly spreads across the world. As of March 6, 2020, the global death toll from the coronavirus pandemic has topped 70,000. In light of the emergence and spread of the coronavi
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Content
- Cover
- Guest editorial
- Twitter users' coping behaviors during the COVID-19 lockdown: an analysis of tweets using mixed methods
- A comparative study of modified SIR and logistic predictors using local level database of COVID-19 in India
- An agent-based model for simulating COVID-19 transmissions on university campus and its implications on mitigation interventions: a case study
- An empirical investigation of precursors influencing social media health information behaviors and personal healthcare habits during coronavirus (COVID-19) pandemic
- An analysis of attitude of general public toward COVID-19 crises - sentimental analysis and a topic modeling study
- COVID-19 and India: what next?
- Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
