A Visual Approach for the SARS (Severe Acute Respiratory Syndrome) Outbreak Data Analysis

Jie Hua, Guohua Wang, Maolin Huang, Shuyang Hua and Shuanghe Yang
Additional contact information
Jie Hua: Faculty of Information Engineering, Shaoyang University, Shaoyang 422000, China
Guohua Wang: School of Software Engineering, South China University of Technology, Guangzhou 510006, China
Maolin Huang: Faculty of Engineering and IT, University of Technology Sydney, Sydney 2007, Australia
Shuyang Hua: Faculty of Engineering, University of Sydney, Sydney 2007, Australia
Shuanghe Yang: Faculty of Information Engineering, Shaoyang University, Shaoyang 422000, China

IJERPH, 2020, vol. 17, issue 11, 1-16

Abstract: Virus outbreaks are threats to humanity, and coronaviruses are the latest of many epidemics in the last few decades in the world. SARS-CoV (Severe Acute Respiratory Syndrome Associated Coronavirus) is a member of the coronavirus family, so its study is useful for relevant virus data research. In this work, we conduct a proposed approach that is non-medical/clinical, generate graphs from five features of the SARS outbreak data in five countries and regions, and offer insights from a visual analysis perspective. The results show that prevention measures such as quarantine are the most common control policies used, and areas with strict measures did have fewer peak period days; for instance, Hong Kong handled the outbreak better than other areas. Data conflict issues found with this approach are discussed as well. Visual analysis is also proved to be a useful technique to present the SARS outbreak data at this stage; furthermore, we are proceeding to apply a similar methodology with more features to future COVID-19 research from a visual analysis perfective.

Keywords: visual analysis; graph visualisation; graph drawing; SARS; coronavirus; COVID-19 (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1660-4601/17/11/3973/pdf (application/pdf)
https://www.mdpi.com/1660-4601/17/11/3973/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:17:y:2020:i:11:p:3973-:d:367006

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().