Visual Data Analysis and Simulation Prediction for COVID-19
International Journal of Educational Excellence(2020)
摘要
The COVID-19 (formerly, 2019-nCoV) epidemic has become a global health
emergency, as such, WHO declared PHEIC. China has taken the most hit since the
outbreak of the virus, which could be dated as far back as late November by
some experts. It was not until January 23rd that the Wuhan government finally
recognized the severity of the epidemic and took a drastic measure to curtain
the virus spread by closing down all transportation connecting the outside
world. In this study, we seek to answer a few questions: How did the virus get
spread from the epicenter Wuhan city to the rest of the country? To what extent
did the measures, such as, city closure and community quarantine, help
controlling the situation? More importantly, can we forecast any significant
future development of the event had some of the conditions changed? By
collecting and visualizing publicly available data, we first show patterns and
characteristics of the epidemic development; we then employ a mathematical
model of disease transmission dynamics to evaluate the effectiveness of some
epidemic control measures, and more importantly, to offer a few tips on
preventive measures.
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关键词
visual,simulation prediction
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