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Research Article Open access CC BY 4.0

COVID-19 Pandemic Data Visualization with Moment about Midpoint: Exploratory and Expository Analyses

Stephen Olusegun Are, Matthew Iwada Ekum

Asian Journal of Probability and Statistics · pp. 15–37 · Published 3 Sep 2020

10.9734/ajpas/2020/v8i430212

Abstract

Aims: To visualize COVID-19 data using Exploratory Data Analysis (EDA) to tell the COVID-19 story expository. Study Design: The study uses EDA approach to visualize the COVID-19 data. The study uses secondary data collected from World Health Organization (WHO) in a panel form and partition the world using WHO regions. Moment about a midpoint and EDA are jointly used to analyze the data. Place and Duration of Study: Department of Mathematics & Statistics, Statistical Laboratory, Lagos State Polytechnic and Federal Polytechnic, Ilaro. The data used covered all regions of the world from January 2020 to July 2020. Methodology: We included 198 countries (cross-sections) partitioned into 7 WHO regions over 7 months (190 days) time period, spanning 3000 datasets. The EDA and moment about a midpoint is used for the analysis. This is a purely descriptive and expository analysis to tell the story of the novel coronavirus disease (COVID-19). Results: The total sample points used for this analysis are 30,010, which can be taken as a big data and it is large enough to assume the central limit theorem. The results of the analysis showed that cumulative cases and deaths are increasing but at a slower rate. Some WHO region curves are already flattening. Conclusion: The study concluded that average number of new cases and new deaths will decrease in coming months but there will be increase in the cumulative cases and deaths but at a slower rate.

COVID-19 pandemic moment about a midpoint exploratory data analysis expository report WHO region

References (32)

  1. 1 Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China [DOI]
  2. 2 A Novel Coronavirus from Patients with Pneumonia in China, 2019 [DOI]
  3. 3 Virological assessment of hospitalized patients with COVID-2019 [DOI]
  4. 4 RETRACTED: Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial [DOI]
  5. 5 Transmission of 2019-nCoV Infection from an Asymptomatic Contact in Germany [DOI]
  6. 6 Exploratory Data Analysis [DOI]
  7. 7 Research Methods in Biomechanics [DOI]
  8. 8 A systematic review of asymptomatic infections with COVID-19 [DOI]
  9. 9 Plague as a Biological Weapon [DOI]
  10. 10 Hydroxychloroquine in Nonhospitalized Adults With Early COVID-19 [DOI]
  11. 11 137 ancient human genomes from across the Eurasian steppes [DOI]
  12. 12 We Need Both Exploratory and Confirmatory [DOI]
  13. 13 COVID-19 Coronavirus Vaccine Design Using Reverse Vaccinology and Machine Learning [DOI]
  14. 14 Viral Causes of Hearing Loss: A Review for Hearing Health Professionals [DOI]
  15. 15 COVID-19 Transmission Within a Family Cluster by Presymptomatic Carriers in China [DOI]
  16. 16 The biological standard of living in Europe during the last two millennia [DOI]
  17. 17 The Plague of Athens: Epidemiology and Paleopathology [DOI]
  18. 18 4 Epidemiology of the Black Death and Successive Waves of Plague [DOI]
  19. 19 Asymptomatic and Pre-Symptomatic COVID-19 in China [DOI]
  20. 20 Source Book of Medical History [DOI]
  21. 21 Pathological consequences of systemic measles virus infection [DOI]
  22. 22 Dynamic model of COVID-19 disease with exploratory data analysis [DOI]
  23. 23 Application of Hierarchical Polynomial Regression Models to Predict Transmission of COVID-19 at Global Level [DOI]
  24. 24 Current perspective of COVID-19 spread across South Korea: exploratory data analysis and containment of the pandemic [DOI]
  25. 25 [Screening and management of asymptomatic infection of 2019-novel coronavirus]. [DOI]
  26. 26 Data Visualization and Analyzation of COVID-19 [DOI]
  27. 27 Encyclopedia of Pestilence, Pandemics, and Plagues [DOI]
  28. 28 Bird flu: A virus of our own hatching [DOI]
  29. 29 Problem Solving: A Statistician's Guide. [DOI]
  30. 30 Hydroxychloroquine and azithromycin as a treatment of COVID-19: results of an open-label non-randomized clinical trial [DOI]
  31. 31 Hydroxychloroquine and azithromycin plus zinc vs hydroxychloroquine and azithromycin alone: outcomes in hospitalized COVID-19 patients [DOI]
  32. 32 Centers for Disease Control and Prevention (CDC) [DOI]

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