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

Author

Listed:
  • 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)

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.

Suggested Citation

  • Jie Hua & Guohua Wang & Maolin Huang & Shuyang Hua & Shuanghe Yang, 2020. "A Visual Approach for the SARS (Severe Acute Respiratory Syndrome) Outbreak Data Analysis," IJERPH, MDPI, vol. 17(11), pages 1-16, June.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:11:p:3973-:d:367006
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    References listed on IDEAS

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