Adesoye Idowu AbioyeMfon David UmohOlumuyiwa James PeterHelen Olaronke EdogbanyaFestus Abiodun OguntoluOshinubi KayodeSylvanus Amadiegwu2025-05-042021A. I. Abioye, M. D. Umoh, O. J. Peter, H. O. Edogbanya, F. A. Oguntolu, O. Kayode & S. Amadiegwu. (2021). Forecasting of COVID-19 pandemic in Nigeria using real statistical data. Commun. Math. Biol. Neurosci., 2021, Article-ID.2 https://doi.org/10.28919/cmbn/5144.2052-254110.28919/cmbn/5144http://repository.futminna.edu.ng:4000/handle/123456789/1794In this paper, we used data released by Nigeria Center for Disease Control (NCDC) every 24 hours for the past consecutive two months to forecast the Coronavirus disease 2019 (COVID-19) cases for the months (September – October 2020). The linear regression forecasting model and R software package are used for the forecast and simulations respectively. The COVID-19 cases in Nigeria is on a decreasing trend and the forecast result show that in the next two months, there is going to be a decrease in new COVID-19 cases in Nigeria. COVID-19 in Nigeria can be drastically reduced if the organizations, management, government or policymakers are constantly proactive concerning these research findings.enforecastingCOVID-19pandemicprophet packagestatistical datajournal-article