Issues

Special Issue: Using Data Science to Understand the Coronavirus Pandemic. Guest Editors: Xin Tian, Wu He, Yunfei Xing

Guest editorial

Xin Tian; Wu He; Yunfei Xing
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Twitter users’ coping behaviors during the COVID-19 lockdown: an analysis of tweets using mixed methods

Ruchi Mittal; Wasim Ahmed; Amit Mittal; Ishan Aggarwal
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A comparative study of modified SIR and logistic predictors using local level database of COVID-19 in India

Naman S. Bajaj; Sujit S. Pardeshi; Abhishek D. Patange; Hrushikesh S. Khade; Kavidas Mate
View articletitled, A comparative study of modified SIR and logistic predictors using local level database of COVID-19 in India
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An agent-based model for simulating COVID-19 transmissions on university campus and its implications on mitigation interventions: a case study

Yuan Zhou; Lin Li; Yasaman Ghasemi; Rakshitha Kallagudde; Karan Goyal; Deependra Thakur
View articletitled, An agent-based model for simulating COVID-19 transmissions on university campus and its implications on mitigation interventions: a case study
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An empirical investigation of precursors influencing social media health information behaviors and personal healthcare habits during coronavirus (COVID-19) pandemic

Muhammad Riaz; Xiwei Wang; Sherani; Yu Guo
View articletitled, An empirical investigation of precursors influencing social media health information behaviors and personal healthcare habits during coronavirus (COVID-19) pandemic
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An analysis of attitude of general public toward COVID-19 crises – sentimental analysis and a topic modeling study

Praveen S.V.; Rajesh Ittamalla
View articletitled, An analysis of attitude of general public toward COVID-19 crises – sentimental analysis and a topic modeling study
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COVID-19 and India: what next?

Ramesh Behl; Manit Mishra
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Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic

Antonela Tommasel; Andrés Diaz-Pace; Juan Manuel Rodriguez; Daniela Godoy
View articletitled, Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
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