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November Edition 2020

International Journal of Applied Information Systems solicits high quality original research papers for the November 2020 Edition of the journal. The last date of research paper submission is October 15, 2020.

Data Analytics and Visualization of Covid-19 Epidemic in Nigeria based on Recovered and Death Cases

Ajinaja Micheal, Olarinde Mobolaji, Olaniyan Olabisi, Adeola Ademola in Information Sciences

International Journal of Applied Information Systems
Year of Publication:2020
Publisher: Foundation of Computer Science (FCS), NY, USA
Authors:Ajinaja Micheal, Olarinde Mobolaji, Olaniyan Olabisi, Adeola Ademola
10.5120/ijais2020451873
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  1. Ajinaja Micheal, Olarinde Mobolaji, Olaniyan Olabisi and Adeola Ademola. Data Analytics and Visualization of Covid-19 Epidemic in Nigeria based on Recovered and Death Cases. International Journal of Applied Information Systems 12(32):1-5, August 2020. URL, DOI BibTeX

    @article{10.5120/ijais2020451873,
    	author = "Ajinaja Micheal and Olarinde Mobolaji and Olaniyan Olabisi and Adeola Ademola",
    	title = "Data Analytics and Visualization of Covid-19 Epidemic in Nigeria based on Recovered and Death Cases",
    	journal = "International Journal of Applied Information Systems",
    	issue_date = "August 2020",
    	volume = 12,
    	number = 32,
    	month = "August",
    	year = 2020,
    	issn = "2249-0868",
    	pages = "1-5",
    	url = "http://www.ijais.org/archives/volume12/number32/1093-2020451873",
    	doi = "10.5120/ijais2020451873",
    	publisher = "Foundation of Computer Science (FCS), NY, USA",
    	address = "New York, USA"
    }
    

Abstract

The COVID-19 deadly virus was first reported in Wuhan, China and so far gone on to spread to more than 50 countries across the globe. WHO declared COVID-19 as a pandemic on 11th March 2020 and there has been rising cases of infection of the virus. This study present data analysis and visualization of the confirmed, recovered, active and death cases in Nigeria. Cases was also compared to global active, confirmed, recovered and death cases. Different line graph analysis, dot graph analysis and the use of SIR model to further provide diagrammatical view and analysis of the cases in Nigeria. The model and analysis will help to interpret patterns of the virus and assist in further research and provide relevant information to the public concerning the virus.

Reference

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Keywords

COVID-19, data analytics, visualization, SIR