Prediction of Cumulative Death Cases in The United States Due to COVID-19 Using Mathematical Models

Authors

  • Mohd Yunus Abd Shukor Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, D.E, Malaysia.
  • Ibrahim Alhaji Sabo Department of Microbiology, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020 Wukari, Taraba State, Nigeria.
  • Salihu Yahuza Department of Microbiology and Biotechnology, Federal University Dutse, P.M.B 7156, Dutse, Jigawa state, Nigeria.
  • Bilal Ibrahim Dan-Iya Pharmacy Technician Department College of Health Sciences and Technology, Kano State Nigeria.
  • Surajo Adamu Wada Department of Microbiology, Faculty of Pure and Applied Sciences, Federal University Wukari, P.M.B. 1020 Wukari, Taraba State, Nigeria.

DOI:

https://doi.org/10.54987/jemat.v8i1.521

Keywords:

COVID-19, Total infection, pandemic, mathematical model, MMF

Abstract

In this paper, we present different growth models such as Von Bertalanffy, Baranyi-Roberts, Morgan-Mercer-Flodin (MMF), modified Richards, modified Gompertz, modified Logistics and Huang in fitting and analyzing the epidemic trend of COVID-19 in the form of total number of death cases of SARS-COV-2 in The United States as of 20th of July  2020. The MMF model was found to be the best model with the highest adjusted R2 value with the lowest RMSE value. The accuracy and bias factors values were close to unity (1.0). The parameters obtained from the MMF model include maximum growth of death rate (log) of 0.048 (95% ci from 0.047 to 0.048), curve constant (d) that affects the inflection point of 2.34 (95% ci from 2.31 to 2.38) and maximal total number of death (ymax) of 151,356 (95% ci from 147,911 to 154,525). The MMF predicted that the total number of death cases for The United States on the coming 20th of August and 20th of September 2020 will be 148,183 (95% ci of 149,199 to 147,173) and 153,780 (95% ci of 152,640 to 154,928), respectively. The predictive ability of the model utilized in this study is a powerful tool for epidemiologist to monitor and assess the severity of COVID-19 in The United States in months to come. However, as with any other model, these values need to be taken with caution due to the unpredictability of the COVID-19 situation locally and globally.

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Published

31.07.2020

How to Cite

Shukor, M. Y. A., Sabo, I. A., Yahuza, S., Dan-Iya, B. I., & Wada, S. A. (2020). Prediction of Cumulative Death Cases in The United States Due to COVID-19 Using Mathematical Models. Journal of Environmental Microbiology and Toxicology, 8(1), 37–41. https://doi.org/10.54987/jemat.v8i1.521

Issue

Vol. 8 No. 1 (2020)

Section

Articles

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