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

by Ajinaja Micheal, Olarinde Mobolaji, Olaniyan Olabisi, Adeola Ademola
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International Journal of Applied Information Systems
Foundation of Computer Science (FCS), NY, USA
Volume 12 - Number 32
Year of Publication: 2020
Authors: Ajinaja Micheal, Olarinde Mobolaji, Olaniyan Olabisi, Adeola Ademola
10.5120/ijais2020451873

Ajinaja Micheal, Olarinde Mobolaji, Olaniyan Olabisi, 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 ( August 2020), 1-5. DOI=10.5120/ijais2020451873

@article{ 10.5120/ijais2020451873,
author = { Ajinaja Micheal, Olarinde Mobolaji, Olaniyan Olabisi, 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 },
numpages = {9},
url = { https://www.ijais.org/archives/volume12/number32/1093-2020451873/ },
doi = { 10.5120/ijais2020451873 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2023-07-05T19:10:35.720724+05:30
%A Ajinaja Micheal
%A Olarinde Mobolaji
%A Olaniyan Olabisi
%A Adeola Ademola
%T Data Analytics and Visualization of Covid-19 Epidemic in Nigeria based on Recovered and Death Cases
%J International Journal of Applied Information Systems
%@ 2249-0868
%V 12
%N 32
%P 1-5
%D 2020
%I Foundation of Computer Science (FCS), NY, 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.

References
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Index Terms

Computer Science
Information Sciences

Keywords

COVID-19 data analytics visualization SIR

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