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

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.

Fitting Birth and Death Queuing Models using Maximum Likelihood Estimation with Application to COVID-19 Pandemic in Sub-Saharan Africa

“…Their model assumed that education on the disease transmission and prevention induced behavioural changes in individuals to imbibe good hygiene, thereby reducing the basic reproduction number and disease burden. [14] analyzed COVID-19 pandemic data with visualization and moment about midpoint using exploratory and expository analyses and concluded that average number of COVID-19 new cases and new deaths would decrease in coming months but there will be increase in the cumulative cases and deaths but at a slower rate. [15] also undertook a study to determine the proportion of Nigeria's population that will be prone to the COVID-19 pandemic as well as the proportion of infections, recoveries and fatalities from the COVID-19 pandemic employing a Markov model.…”

Modelling the effect of Covid-19 mortality on the economy of Nigeria

“…This novel coronavirus was isolated on 7th January 2020 in China ( Ekum & Ogunsanya, 2020 ). Currently, some countries have been able to manage cases with a high rate of recovery, while the body’s immune system fights the illness ( Are & Ekum, 2020 ). Just recently some laboratories have developed one vaccine or the other for COVID-19, and these vaccines have been distributed to some countries of the world, including Nigeria.…”