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Record Nr. |
UNINA9910809962503321 |
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Titolo |
Using data science to understand the coronavirus pandemic / / guest editors Xin Tian, Wu He and Yunfei Xing |
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Pubbl/distr/stampa |
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[Place of publication not identified] : , : Emerald Publishing Limited, , 2021 |
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ISBN |
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Descrizione fisica |
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1 online resource (81 pages) |
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Collana |
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Information Discovery and Delivery, , 2398-6247 ; ; Volume 49, Number 3 |
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Disciplina |
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Soggetti |
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COVID-19 Pandemic, 2020- - Geographic information systems |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Nota di contenuto |
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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. |
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