2020
DOI: 10.3390/ijerph17113973
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A Visual Approach for the SARS (Severe Acute Respiratory Syndrome) Outbreak Data Analysis

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.… Show more

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Cited by 11 publications
(12 citation statements)
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“…Beta-coronaviruses' key characteristics are rapid mutation, varied tissue tropism, crossspecies communication, and adaptation to various epidemiological circumstances [45,[47][48][49]. According to the investigations, the COVID-19 virus's causative agent shares 89, 82, and 96.3% nucleotide similarity with SARS-like CoV ZXC21, SARS-CoV, and bat CoV RaTG13, respectively [50,51]. Physical contact and fomites are the most prevalent routes for respiratory illnesses to spread.…”
Section: Covid-19: a Brief Overviewmentioning
confidence: 99%
“…Beta-coronaviruses' key characteristics are rapid mutation, varied tissue tropism, crossspecies communication, and adaptation to various epidemiological circumstances [45,[47][48][49]. According to the investigations, the COVID-19 virus's causative agent shares 89, 82, and 96.3% nucleotide similarity with SARS-like CoV ZXC21, SARS-CoV, and bat CoV RaTG13, respectively [50,51]. Physical contact and fomites are the most prevalent routes for respiratory illnesses to spread.…”
Section: Covid-19: a Brief Overviewmentioning
confidence: 99%
“…A total of 8,432 cases and 813 deaths were reported for SARS from 17 March 2003 to 11 July 2003. SARS-CoV-1 was officially contained on 5 July 2003, within 9 months of its appearance ( 3 ). In contrast, SARS-CoV-2 remains a significant global threat nearly 2 years after its emergence.…”
Section: Introductionmentioning
confidence: 99%
“…Geographic visualization shows the geographical location and related information of all epidemic areas in an intuitive way; timeline visualization provides visualize temporal data in a specific period; spatiotemporal visualization combines geographical area and time interval to explore the deeper meaning of data. Those approaches are widely used in the COVID-19 pandemic, such as assessing the geographic risk of COVID-19 transmission [ 3 ], monitoring the control measures [ 4 ], presenting the timeline of COVID-19 outbreak [ 5 ], etc. Despite the variety of data visualization methods, for the pandemic disease like COVID-19, there is limited method to comprehensively demonstrate the global epidemic in one graph through constructing multi-dimensional core indicators.…”
Section: Introductionmentioning
confidence: 99%