Modeling and Forecasting the Third wave of Covid-19 Incidence Rate in Nigeria Using Vector Autoregressive Model Approach
Keywords:
Covid-19, Vector Autoregressive model, Akaike Information Criterion, Final Prediction Error, Hannan Quinn Information CriterionAbstract
Modeling the onset of a pandemic is important for forming inferences and putting measures in place. In this study, we used the Vector autoregressive model to model and forecast the number of confirmed covid-19 cases and deaths in Nigeria, taking into account the relationship that exists between both multivariate variables. Before using the Vector Autoregressive model, a co-integration test was performed. An autocorrelation test and a heteroscedasticity test were also performed, and it was discovered that there is no autocorrelation at lags 3 and 4, as well as no heteroscedasticity. According to the findings of the study, the number of covid-19 cases and deaths is on the rise. To forecast the number of cases and deaths, a Vector Autoregressive model with lag 4 was used. The projection likewise shows a steady increase in the number of deaths over time, but a minor drop in the number of confirmed Covid-19 cases.
Published
How to Cite
Issue
Section
Copyright (c) 2022 Journal of the Nigerian Society of Physical Sciences

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
Similar Articles
- Shaymaa Mohammed Ahmed, Majid Khan Majahar Ali, Raja Aqib Shamim, Integrating robust feature selection with deep learning for ultra-high-dimensional survival analysis in renal cell carcinoma , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 4, November 2025
- B. T. Ogunyemi, F. K. Ojo, Corrosion Inhibition Potential of Thiosemicarbazide Derivatives on ALuminium: Insight from Molecular Modelling and QSARs Approaches , Journal of the Nigerian Society of Physical Sciences: Volume 5, Issue 1, February 2023
- Mokhtar Ali, Abdelkerim Souahlia, Abdelhalim Rabehi, Mawloud Guermoui, Ali Teta, Imad Eddine Tibermacine, Abdelaziz Rabehi, Mohamed Benghanem , A robust deep learning approach for photovoltaic power forecasting based on feature selection and variational mode decomposition , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 3, August 2025
- Osita Miracle Nwakeze, Naveed Uddin Mohammed, Obaze Caleb Akachukwu, Umerah Anthony Tochukwu, Oji Nkechi Blessing, Ibeh Sylvarine Chinasa, Odeh Christopher, Dynamic-kernel CNN-LSTM for real-time intrusion detection in low-power healthcare IoT systems , Journal of the Nigerian Society of Physical Sciences: Volume 8, Issue 3, August 2026
- Nahid Salma, Majid Khan Majahar Ali, Raja Aqib Shamim, Machine learning-based feature selection for ultra-high-dimensional survival data: a computational approach , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 3, August 2025
- Philemon Uten Emmoh, Christopher Ifeanyi Eke, Timothy Moses, A feature selection and scoring scheme for dimensionality reduction in a machine learning task , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- E. P. Inyang, E. O. Obisung, P. C. Iwuji, J. E. Ntibi, J. Amajama, E. S. William, Masses and thermal properties of a Charmonium and Bottomonium Mesons , Journal of the Nigerian Society of Physical Sciences: Volume 4, Issue 3, August 2022
- V Umarani, A Julian, J Deepa, Sentiment Analysis using various Machine Learning and Deep Learning Techniques , Journal of the Nigerian Society of Physical Sciences: Volume 3, Issue 4, November 2021
- Saddam Husain Dhobi, Kishori Yadav, Suresh Prasad Gupta, Jeevan Joyti Nakarmi, Ajay Kumar Jha, Non-monochromatic laser assist scattering in thermal environment , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 1, February 2025
- S. N. Enemuo, O. N. Akande, M. O. Lawrence, I. C. Saidu, Optimized aspect level sentiment analysis of tweet data using deep learning and rule-based techniques , Journal of the Nigerian Society of Physical Sciences: Volume 7, Issue 2, May 2025
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Olumide S. Adesina, Adedayo F. Adedotuun, Kayode S. Adekeye, Ogbu F. Imaga, Adeleke J. Adeyiga, Toluwalase J. Akingbade, On logistic regression versus support vectors machine using vaccination dataset , Journal of the Nigerian Society of Physical Sciences: Volume 6, Issue 1, February 2024

