[
Adaka D., Majumder A., Bairagi N. (2021): Mathematical perspective of Covid-19 pandemic: Disease Extinction Criteria in Deterministic and Stochastic Models. Chaos, Solitons and Fractals. https://Doi.org/10.1016/j.chaos.2020.110381
]Search in Google Scholar
[
Anggriani N., Ndii M., Amelia R., Suryaningrat W. (2021): A Mathematical COVID-19 model considering Asymptomatic and Symptomatic classes with waning immunity, Alexandria Engineering Journal. https://doi.org/10.1016/j.aej.2021.04.104
]Search in Google Scholar
[
Evensen G., Amezcua J., Bocquet M., Carrassi A., Farchi A., Fowler A., Houtekamer P.L., Jones C.K., Vossepoel F.C., et al. (2021): An international initiative of predicting the SARS-CoV-2 pandemic using ensemble data assimilation. Foundations of Data Science, 3(3): 413-477. https://doi.org/10.3934/fods.2021001
]Search in Google Scholar
[
Iboi E.A., Sharomi O., Ngonghala C.N., Gumel A.B. (2020): Mathematical modeling and Analysis of COVID-19 pandemic in Nigeria, Journal of Mathematical Biosciences and Engineering, 17(6): 7192-7220.
]Search in Google Scholar
[
Leung N.N. (2019): Models of infectious disease transmission to explore the effects of immune boosting. Doctoral Thesis, University of Melbourne, Parkville, Victoria, Australia.
]Search in Google Scholar
[
NCDC: Nigeria Centre for Disease Control. https://ncdc.gov.ng
]Search in Google Scholar
[
Niño-Torres D., Ríos-Gutiérrez A., Arunachalam V., Ohajunwa C., Seshaiyer P. (2022): Stochastic modeling, analysis, and simulation of the COVID-19 pandemic with explicit behavioral changes in Bogotá: A case study. Infectious Disease Modelling, 7(1): 199-211.
]Search in Google Scholar
[
Ohajunwa C., Kumar K., Seshaiyer P. (2020): Mathematical modeling, analysis, and simulation of the COVID-19 pandemic with explicit and implicit behavioral changes. Journal of computational and Mathematical Biophysics. https://doi.org/10.1515/cmb-2020-0113
]Search in Google Scholar
[
Pappas S. (2020): Can People Spread Coronavirus after they Recover? https://www.livescience.com/coronavirus-spread-after-recovery.html
]Search in Google Scholar
[
Peter O.J., Shaikh A.S., Ibrahim M.O., Nisar K.S., Baleanu D., Khan I., Abioye, A.I. (2021): Analysis and dynamics of fractional order mathematical model of COVID-19 in Nigeria using Atangana-Baleanu operator. Journal of Computers, Materials & Continua, 66(2). https://doi:32604/cmc.2020.012314
]Search in Google Scholar
[
Shaw C.L., Kennedy D.A. (2021): What the reproductive number Ro can and cannot tell us about COVID-19 dynamics. Theoretical population biology, 137: 2-9. https://doi.org/10.1016/j.tpb.2020.12.003
]Search in Google Scholar
[
Tesfaye, A.W., Satana T.S. (2021): Stochastic model of the transmission dynamics of COVID-19 pandemic. Advances in Differential Equations. https://doi.org/10.1186/s13662-021-03597-1
]Search in Google Scholar
[
Tilahun G.T., Alemneh H.T. (2021): Mathematical modeling and optimal control analysis of COVID-19 in Ethiopia. Journal of Interdisciplinary Mathematics. https://doi.org/10.1080/09720502.2021.1874086
]Search in Google Scholar
