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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.
(Accessed 3 March 2020)
Novel Coronavirus (2019-nCoV) Situation Report WHO; 2020b.
(Accessed 27 July 2020)
Ekum MI, Ogunsanya AS. Application of hierarchical polynomial regression models to predict transmission of COVID-19 at global level. Int J Clin Biostat Biom. 2020;6(1):027.
Adeniyi MO, Ekum MI, Iluno C, Ogunsanya AS, Akinyemi JA, Oke SI, Matadi MB. Dynamic model of COVID-19 disease with exploratory data analysis. Scientific African; 2020.
Littman RJ. The plague of Athens: Epidemiology and paleopathology. The Mount Sinai Journal of Medicine, New York. 2009;76(5):456–467.
Sicker M. The struggle over the Euphrates frontier. The Pre-Islamic Middle East. Greenwood. 2000;169. ISBN: 0-275-96890-1.
Harper K. Pandemics and passages to late antiquity: Rethinking the Plague of c. 249-70 described by Cyprian. Journal of Roman Archaeology. 2015;28(2015):223-60.
Harper K. Chapter 4. The old age of the world. The Fate of Rome: Climate, Disease, and the End of an Empire. Princeton University Press; 2017. ISBN: 978-0691166834.
Damgaard PB, et al. 137 ancient human genomes from across the Eurasian steppes. Nature. 2018;557(7705):369–374. Bibcode:2018Natur.557.369D.
Baten J, Koepke N. The biological standard of living in Europe during the last two millennia. European Review of Economic History. 2005;9(1):61–95.
Zhang S. An ancient case of the plague could rewrite history archived 13 November 2019 at the Wayback Machine. The Atlantic; 2018.
Barquet N, Domingo P. Smallpox: The triumph over the most terrible of the minister of death. Annals of Internal Medicine. 1997;127(8 Pt 1):635–42.
Byrne JP. Encyclopedia of pestilence, pandemics and plagues: A–M. ABC-CLIO. 2008;413. ISBN: 978-0-313-34102-1.
Archived from the Original on 13 November 2013
Greger M. Most and probably all of the distinctive infectious diseases of civilization have been transferred to human populations from animal herds. Bird Flu: A Virus of Our Own Hatching. Lantern; 2006. Books. ISBN 1590560981.
Archived from the Original on 3 October 2009
Bhaumik S. Measles hits rare Andaman tribe. BBC News Online; 2006.
Archived from the Original on 23 August 2011
Ludlow M, McQuaid S, Milner D, de Swart RL, Duprex WP. Pathological consequences of systemic measles virus infection. The Journal of Pathology. 2015;235(2):253–65.
Cohen BE, Durstenfeld A, Roehm PC. Viral causes of hearing loss: A review for hearing health professionals. Trends in Hearing. 2014;8:2331216514541361.
"Measles". Centers for Disease Control and Prevention (CDC); 2018.
(Accessed 2 April 2018)
(Retrieved 6 May 2018)
World Health Organization (WHO). Plague Fact sheet N 267.
Archived from the original on 24 April 2015
(Retrieved 10 May 2015)
Cohn SK. Epidemiology of the Black Death and successive waves of plague. Medical history supplement. 2008;52(27):74–100.
Inglesby TV, Dennis DT, Henderson DA, Bartlett JG, Ascher MS, Eitzen E, Fine AD, Friedlander AM, Hauer J, Koerner JF, Layton M, McDade J, Osterholm MT, O'Toole T, Parker G, Perl TM, Russell PK, Schoch-Spana M, Tonat K. Plague as a biological weapon: Medical and public health management. Working Group on Civilian Biodefense. JAMA. 2000;283(17):2281–90.
Source Book of Medical History, Logan Clendening, Published by Dover Publications; 1960.
Encyclopedia of Pestilence, Pandemics and Plagues by Ed, Joseph P. Byrne, Published by Greenwood Press; 2008.
European Centre for Disease Prevention and Control (ECDC) 2018 Facts about Severe Acute Respiratory Syndrome (SARS) Stockholm; 2018.
(Accessed 14 January 2020)
WHO. SARS (Severe Acute Respiratory Syndrome) Geneva; 2020c.
(Accessed: 14 January 2020)
Zhu N, Zhang D, Wang W, Li X, Yang B, Song J. A novel coronavirus from patients with pneumonia in China. New England Journal of Medicine; 2020.
Letko M, Munster V. Functional assessment of cell entry and receptor usage for lineage β Beta-coronaviruses, including 2019-nCoV. Bio Rxiv 2020.01.22.915660; 2020.
Huang C, Wang Y, Li X, Ren L, Zhao J, Hu Y. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. The Lancet; 2020.
Qian G, Yang N, Ma AHY, Wang L, Li G, Chen X, Chen X. COVID-19 transmission within a family cluster by presymptomatic carriers in China. Clinical Infectious Diseases Brief Report. 2020;71(15): 861-862.
Wu Z, McGoogan JM. Asymptomatic and pre-symptomatic COVID-19 in China. Infectious Diseases of Poverty. 2020;9:72.
Wölfel R, Corman VM, Guggemos W, Seilmaier M, Zange S, Müller MA, et al. Virological assessment of hospitalized patients with COVID-2019. Nature; 2020.
Rothe C, Schunk M, Sothmann P, Bretzel G, Froeschl G, Wallrauch C, et al. Transmission of 2019-nCoV infection from an asymptomatic contact in Germany. N Engl J Med. 2020;382:970–1.
Coronavirus: WHO retracts statement within a day that said asymptomatic COVID-19 carrier cannot spread infection. Here is an explainer; 2020.
(Online Resources Accessed 15 August 2020)
Gao Z, Xu Y, Sun C, Wang X, Guo Y, Qiu S, Ma K. A systematic review of asymptomatic infections with COVID-19. J Microbiol Immunol Infect; 2020. (In press)
Hu ZB, Ci C. Screening and management of asymptomatic infection of corona virus disease 2019 (COVID-19). Chin J Prev Med. 2020;54:E025. [Epub ahead of print]
Available:https://doi.org/10.3760/cma.j.cn112150- 20200229- 00220
Carlucci PM, Ahuja T, Petrilli C, Rajagopalan H, Jones S, Rahimian J. Hydroxychloroquine and azithromycin plus zinc vs hydroxychloroquine and azithromycin alone: Outcomes in hospitalized COVID-19 patients; 2020. Researchgate Preprint. Corresponding author: Joseph Rahimian, MD NYU Grossman School of Medicine, Department of Medicine 31 Washington Square West, Floor number 4 New York, NY 10011 [email protected]
Gautret P, Lagier J-C, Parola P, et al. Hydroxychloroquine and azithromycin as a treatment of COVID-19: Results of an open-label non-randomized clinical trial. International Journal of Antimicrobial Agents. 2020;105949.
Smith T, Bushek J, LeClaire A, Prosser T. COVID-19 drug therapy. Elsevier Clinical Drug Information, Clinical Solutions; 2020.
(Accessed 16 August 2020)
Skipper CP, Pastick KA, Engen NW, Bangdiwala AS, Do MA, Lofgren SM, et al. Hydroxychloroquine in nonhospitalized adults with early COVID-19; 2020.
Ong E, Wong MU, Huffman A, He Y. COVID-19 coronavirus vaccine design using reverse vaccinology and machine learning. Front. Immunol. 2020;11:1581.
Dey SK, Rahman MM, Siddiqi UR, Howlader A. Analyzing the epidemiological outbreak of COVID‐19: A Visual Exploratory Data Analysis (EDA) approach. J Med Virol. 2020;92:632–638.
Khanam F, Nowrin I, Mondal MRH. Data visualization and analyzation of COVID-19. Journal of Scientific Research & Reports. 2020;26(3):42-52.
Arora AS, Rajput H, Changotra R. Current perspective of COVID 19 spread across South Korea: Exploratory data analysis and containment of the pandemic. Environment, Development and Sustainability; 2020.
Chatfield C. Problem solving: A statistician's guide (2nd Ed.). Chapman and Hall; 1995. ISBN: 978-0412606304.
Tukey JW. Exploratory data analysis. Pearson; 1977. ISBN: 978-0201076165.
Tukey JW. We need both exploratory and confirmatory. The American Statistician. 1980;34(1):23–25.
Robertson DGE, Caldwell GE, Hamill J, Kamen G, Whittlesey SN. Research methods in biomechanics. Champaign, IL: Human Kinetics Publ. 2004;285.