Monitoring Coronavirus Disease 2019 (COVID-19) Pandemic Outbreak in Africa
Keywords:
fish-bone, pareto, africa, trend, pie chart
Abstract
This study is a monitoring analysis of COVID-19 in Africa. The data used for the study is sourced from the Africa Centre for Disease Control (Africa CDC) as t 10:00 PM on the 24th of April, 2020, which comprises a number of Africa countries with laboratory-confirmed cases, number of death, and number of discharged/recovered cases. The quality pandemic monitoring/control tools used in this study is the fish-bone diagram, Pareto analysis, control chart, bar chart, and pie chart. The fish-bone diagram depicts the likely symptoms to check out for in a patent infected by COVID-19; the Pareto analysis shows that 14 countries to the left of this line (South Africa, Egypt, Morocco, Algeria, Cameroon, Ghana, Ivory Coast, Djibouti, Tunisia, Nigeria, Guinea, Niger, and Burkina Faso) constitute 80% of all the infected countries; the trend analysis shows that the spread of the pandemic is still on an increasing rate; and lastly, from the performance assessment, it is seen that the spread is still under control from the pie chart while the death rate is already out of control.
Downloads
- Article PDF
- TEI XML Kaleidoscope (download in zip)* (Beta by AI)
- Lens* NISO JATS XML (Beta by AI)
- HTML Kaleidoscope* (Beta by AI)
- DBK XML Kaleidoscope (download in zip)* (Beta by AI)
- LaTeX pdf Kaleidoscope* (Beta by AI)
- EPUB Kaleidoscope* (Beta by AI)
- MD Kaleidoscope* (Beta by AI)
- FO Kaleidoscope* (Beta by AI)
- BIB Kaleidoscope* (Beta by AI)
- LaTeX Kaleidoscope* (Beta by AI)
How to Cite
Published
2020-05-15
Issue
Section
License
Copyright (c) 2020 Authors and Global Journals Private Limited
This work is licensed under a Creative Commons Attribution 4.0 International License.