SARS 발생에 대한 시각적 접근, 데이터 분석
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 oer
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.