CFP last date
16 December 2024
Call for Paper
January Edition
IJAIS solicits high quality original research papers for the upcoming January edition of the journal. The last date of research paper submission is 16 December 2024

Submit your paper
Know more
The week's pick
Responsive image
Ordered Frequent Itemsets Matrix Based On Fp-Tree Structure And Apriori Algorithm

Abdulkader M. Al-Badani Abdualmajed A. Al-Khulaidi
Random Articles
Reseach Article

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
journal cover thumbnail

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
  1. A. Rachah and D. F. M. Torres, "Analysis, simulation and optimal control of a SEIR model for Ebola virus with demographic effects," Commun. Fac. Sac. Univ. Ank. Series A1, vol. 67, no. 1, pp. 179-197, 2018.
  2. Araujo M.B, Naimi B. Spread of SARSCoV-2 Coronavirus likely to be constrained by climate. Medrxiv; 2020
  3. COVID-19 Coronavirus Pandemic. Available: https://raw.githubusercontent.com/CSSEGISandData/COVID-19/master/csse_covid_19_data/csse_covid_19_daily_reports/06-18-2020.csv
  4. D. Hui et al, "The continuing 2019-nCoV epidemic threat of novel coronavirus to global health - The latest 2019 novel coronavirus outbreak in Wuhan, China," International Journal of Infectious Diseases, vol. 91, pp. 264-266, 2020
  5. D. Toppenberg-Pejcic, J. Noyes, T. Allen, N. Alexander, M. Vanderford and G. Gamhewage, "Emergency Risk Communication: Lessons Learned from a Rapid Review of Recent Gray Literature on Ebola, Zika, and Yellow Fever," Health Communication, vol. 34, no. 4, pp. 437- 455, 2018.
  6. Harko.T, Lobo. F. S. N, Mak. M. K.. Exact analytical solutions of the Susceptible-Infected- Recovered (SIR) epidemic model and of the SIR model with equal deaths and births. APPL MATH COMPUT. 2014; 236 (2014), 184–194
  7. Keeling, M. , Rohani, P. Modeling infectious diseases in humans and animals. Princeton University Press. 2008.
  8. Kermack, W.O.& McKendrick, A.G. A Contribution to the Mathematical Theory of Epidemics. Proc. Roy. Soc. Lond. 1927; A 115 700–721.
  9. L. Lin, R. McCloud, C. Bigman and K. Viswanath, "Tuning in and catching on? Examining the relationship between pandemic communication and awareness and knowledge of MERS in the USA," Journal of Public Health, p. fdw028, 2016.
  10. World Health Organization (WHO), "Coronavirus disease 2019 (COVID-19) SituationReport - 35," WHO, 2020.
Index Terms

Computer Science
Information Sciences

Keywords

COVID-19 data analytics visualization SIR

Powered by PhDFocusTM