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Using Data Science to Understand the Coronavirus Pandemic
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Bradford, West Yorkshire :
Emerald Publishing Limited,
2021.
|
| Colección: | Information Discovery and Delivery Ser.
|
| Temas: | |
| Acceso en línea: | Texto completo |
Tabla de Contenidos:
- 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