E-ISSN 2683-5961 | ISSN 2354-1814
 
2024, Vol: 11, Issue: 2
11 / 2Current Issue Online First Archive Aims and Scope Abstracting & Indexing Most Accessed Articles Most Downloaded Articles Most Cited Articles

Research Article
Online Published: 13 Dec 2020
 


Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria

Shamsuddeen Suleiman, Muhammad Sani.


Abstract
Coronavirus 2019, commonly referred to as COVID-19, is a disease discovered in China towards the end of December 2019. This novel and highly infectious virus spreads rapidly across the globe. In Nigeria, as of June 2020, the cumulative number of COVID-19 cases reported was 25,694: out of this, 9746 cases were treated and 590 cases lost their lives. This research was aimed at comparing the prediction ability of ARIMA and ANN models. The aggregate COVID-19 cases reported in Nigeria was subjected to Box-Jenkins time series and Backpropagation gradient-based Artificial Neural Network Approaches for the prediction purpose. The data obtained from the Nigeria Centre for Disease Control (NCDC) was used. The data were identified to follow ARIMA (1, 2, 1) and were best trained by Bayesian Regularization Artificial Neural Network algorithm. The prediction performance of the two models were compared using RMSE, MAE and MAPE. The empirical results obtained show that the Artificial Neural Network model gives better predictions and forecasts over the ARIMA model.

Key words: COVID-19, Box-Jenkins, ARIMA, ANN, Backpropagation


 
ARTICLE TOOLS
Abstract
PDF Fulltext
How to cite this articleHow to cite this article
Citation Tools
Related Records
 Articles by Shamsuddeen Suleiman
Articles by Muhammad Sani
on Google
on Google Scholar

How to Cite this Article
Pubmed Style

Suleiman S, Sani M. Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria. Equijost. 2020; 7(2): 83-90.

Web Style

Suleiman S, Sani M. Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria. https://www.equijost.com/?mno=100633 [Access: June 28, 2026].

AMA (American Medical Association) Style

Suleiman S, Sani M. Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria. Equijost. 2020; 7(2): 83-90.


Vancouver/ICMJE Style

Suleiman S, Sani M. Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria. Equijost. (2020), [cited June 28, 2026]; 7(2): 83-90.


Harvard Style

Suleiman, S. & Sani, . M. (2020) Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria. Equijost, 7 (2), 83-90.


Turabian Style

Suleiman, Shamsuddeen, and Muhammad Sani. 2020. Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria. Equity Journal of Science and Technology, 7 (2), 83-90.


Chicago Style

Suleiman, Shamsuddeen, and Muhammad Sani. "Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria." Equity Journal of Science and Technology 7 (2020), 83-90.


MLA (The Modern Language Association) Style

Suleiman, Shamsuddeen, and Muhammad Sani. "Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria." Equity Journal of Science and Technology 7.2 (2020), 83-90. Print.


APA (American Psychological Association) Style

Suleiman, S. & Sani, . M. (2020) Application of ARIMA and Artificial Neural Networks Models for Daily Cumulative confirmed Covid-19 Prediction in Nigeria. Equity Journal of Science and Technology, 7 (2), 83-90.




Most Viewed Articles
Most Accessed Articles

  • RESPONSE OF COWPEA VARIETIES TO BASAL STEM ROT (Sclerotium Rolfsii) DISEASE IN SOUTHERN GUINEA SAVANNA, NIGERIA
    M. U. Tanimu, I. U. Mohammed, A. Muhammad and N.M. Kwaifa
    Equijost. 2018; 5(1): 1-8
    » Abstract

  • PREDICTION OF CUSTOMER ACCESSIBILITY OF ELECTRONIC BANKING LOGISTIC REGRESSION IN NIGERIA
    Suleiman, S. and Usman, U.
    Equijost. 2016; 4(1): 93-97
    » Abstract

  • PATTERN AND DETERMINANTS OF CONSUMERS DEMAND FOR CANNED FOOD IN ILORIN METROPOLIS OF KWARA STATE, NIGERIA
    Babatunde, R.O.; Amolegbe, K.B.; Akingbohungbe, I.T.
    Equijost. 2018; 5(1): 23-34
    » Abstract

  • EFFECTS OF DIFFERENT HORMONES ON THE GROWTH PERFORMANCE OF Clarias gariepinus
    ADESHINA, I., ADEWALE, Y. A. and DALHATU, B. J.
    Equijost. 2016; 4(1): 10-13
    » Abstract

  • EFFECT OF LATE PLANTING ON INCIDENCE AND SEVERITY OF STENOCARPELLA EAR ROT OF MAIZE IN LAFIA, NASARAWA STATE, NIGERIA
    Garba Y. and Ogara I. M.
    Equijost. 2016; 4(1): 57-60
    » Abstract

    • Most Downloaded
    Top Downloaded Articles

  • ROLE OF FADAMA III PROGRAMME IN EMPOWERING THE SOCIO-ECONOMIC STATUS OF THE SOKOTO STATE PARTICIPATING WOMEN THROUGH CROP PRODUCTIVE ASSETS
    Ango, A. K.; Maikasuwa, M. A.; Sidi, M. H.
    Equijost. 2018; 5(1): 14-22
    » Abstract

  • Low-cost remote-controlled whiteboard cleaning system
    Adekunle Taofeek Oyelami, Ayomide Ogunsemi, Olusola Akintunlaji
    Equijost. 2024; 11(2): 16-19
    » Abstract » doi: 10.4314/equijost.v11i2.3

  • Free convective flow of viscoelastic fluid through a vertical stretching sheet with power law heat flux
    Ahmad B. Jafar, Musabu Musa
    Equijost. 2021; 8(2): 55-61
    » Abstract » doi: https//dx.doi.org/10.4314/equijost.v8i2.10

  • Bacteria Contamination of Market Vended Ponmo (Processed Cow Hide) in Birnin Kebbi, Kebbi State
    Jibrin Naka Keta, Mohammed Naka Keta, Mubarak Aminu Aburga, Grace Joseph Gudu
    Equijost. 2020; 7(1): 41-45
    » Abstract

  • ELECTROMAGNETIC CHARACTERIZATION AND FIELD DISTRIBUTION OF CO0.5ZN0.5FE2O4 USING PATCH MICROSTRIP ANTENNA AND FINITE ELEMENT METHODS
    Abubakar Yakubu, Zulkifli Abbas, Dago M Mohammad
    Equijost. 2018; 5(1): 123-131
    » Abstract

    • About Equity Journal of Science and Technology

    Equity Jornal of Scienec and Technology (EQUIJOST) is published by the Kebbi State University of Science and Technology, Aliero (KSUSTA) and supported by ... Read more.



    For best results, please use Internet Explorer or Google Chrome.

    Contact Information

    Equity Journal of Science and Technology

    Kebbi State University of Science and Technology, Aliero

    P. M. B. 1144, Kebbi State, Nigeria

    email: equijostjournal@gmail.com

    Tel: +2349038120169

     
    POLICIES & JOURNAL LINKS
    Author Login
    Reviewer Login
    Author LoginReviewer LoginEditorial Policies