ABSTRACT
The novel coronavirus (2019-nCoV) has become a worldwide threat for human health, causing severe acute respiratory syndrome. The epidemiological study, trends, and patterns of ongoing cases are urgently needed for a holistic plan design. This explanatory study presents an effort to develop animated plots of worldwide COVID-19 disease based on open datasets from Johns Hopkins University using r programming for the purpose of summarizing the quick plot of disease spreaders. An animated plot presented with different cases from worldwide data has significance for understanding the risks so far to take appropriate control actions. The COVID-19 cases at country and provincial levels are not being sufficiently presented for appropriate control measures. A large number of static data presentations of COVID cases presented worldwide provide general information rather than dynamic trends of COVID cases so far. Therefore, dynamic animated plots with line, bar, and bubble plots are very useful tools for the authorities to take preventive measures for COVID-19 diseases worldwide.
