A visual approach for the SARS (severe acute respiratory syndrome) outbreak data analysis
International Journal of Environmental Research and Public Health
; 17(11), 2020.
Artículo
en Inglés
| CAB Abstracts | ID: covidwho-1409552
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.
Texto completo:
Disponible
Colección:
Bases de datos de organismos internacionales
Base de datos:
CAB Abstracts
Idioma:
Inglés
Revista:
International Journal of Environmental Research and Public Health
Año:
2020
Tipo del documento:
Artículo
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