Table of contents - Special Issue: Using Data Science to Understand the Coronavirus Pandemic
Guest Editors: Xin Tian, Wu He, Yunfei Xing
Twitter users’ coping behaviors during the COVID-19 lockdown: an analysis of tweets using mixed methods
Ruchi Mittal, Wasim Ahmed, Amit Mittal, Ishan AggarwalUsing data from Twitter, the purpose of this paper is to assess the coping behaviour and reactions of social media users in response to the initial days of the COVID-19-related…
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 MateSeveral national- and state-level studies have been predicting the course of the COVID-19 pandemic using supervised machine learning algorithms. However, the comparison of such…
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 ThakurUniversities across the USA are facing challenging decision-making problems amid the COVID-19 pandemic. The purpose of this study is to facilitate universities in planning disease…
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 GuoDrawing upon the communicative ecology theory (CET), this study aims to identify the potential precursors of social media health information seeking intentions (ISI) and examine…
An analysis of attitude of general public toward COVID-19 crises – sentimental analysis and a topic modeling study
Praveen S.V., Rajesh IttamallaIt has been eight months into the global pandemic health crises COVID-19, yet the severity of the crises is just getting worse in many parts of the world. At this stage, it is…
COVID-19 and India: what next?
Ramesh Behl, Manit MishraThe study aims to carry out predictive modeling based on publicly available COVID-19 data for the duration April 01, 2020 to June 20, 2020 pertaining to India and five of its most…
Forecasting mental health and emotions based on social media expressions during the COVID-19 pandemic
Antonela Tommasel, Andrés Diaz-Pace, Juan Manuel Rodriguez, Daniela GodoyThe purpose of this paper is to present an approach for forecasting mental health conditions and emotions of a given population during the COVID-19 pandemic in Argentina based on…
ISSN:
2398-6247e-ISSN:
2398-6255ISSN-L:
2398-6247Renamed from:
Interlending & Document SupplyOnline date, start – end:
2017Copyright Holder:
Emerald Publishing LimitedOpen Access:
hybridEditor:
- Dr. Wu He