Using data science to understand the coronavirus pandemic / guest editors Xin Tian, Wu He and Yunfei Xing.

Format:

Book

Contributor:

Tian, Xin, editor.

He, Wu, editor.

Xing, Yunfei, editor.

Series:

Information Discovery and Delivery

Information Discovery and Delivery, 2398-6247 ; Volume 49, Number 3

Language:

English

Subjects (All):

COVID-19 Pandemic, 2020-2023--Geographic information systems.

COVID-19 Pandemic, 2020-2023.

Physical Description:

1 online resource (81 pages)

Place of Publication:

[Place of publication not identified] : Emerald Publishing Limited, 2021.

Summary:

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 coronavirus disease 2019 (COVID-19) across the world, Information Discovery and Delivery is issuing a call for papers that address the spread of this disease from the data and information science perspective. We are particularly interested in papers that explore how to track, model, understand and predict the spread of COVID-19 through various data science and visualization methods. The goal is to provide a platform for sharing timely research that can be used to help societies address this unprecedented challenge.

Contents:

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.

Notes:

Description based on print version record.

ISBN:

1-80262-836-3