Mathematical Modelling of the Growth of SARS-CoV-2 (COVID-19) and SARS-CoV (SARS) Viruses in Vero E6 Cells

Authors

  • Mohd Yunus Shukor Department of Biochemistry, Faculty of Biotechnology and Biomolecular Sciences, Universiti Putra Malaysia, 43400 UPM Serdang, Selangor, Malaysia
  • Mohammad Shafiul Alam Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (ICDDR,B), Dhaka-1212, Bangladesh.

DOI:

https://doi.org/10.54987/jemat.v8i1.499

Keywords:

SARS-CoV-2; SARS-CoV; Vero E6 cells; growth curve; modified Logistics

Abstract

COVID-19 is caused by the coronavirus SARS-CoV-2 which shares genetic similarity to the agent for the SARS virus (SARS-CoV). The growth of these two viruses in Vero E6 cells shows sigmoidicity and hence various primary growth models can be applied to extract useful growth parameters. The overlapping of the 95% confidence intervals for the parameters A (lower asymptote value of virus titer) and ï­m (maximum specific viral titer) in the modified Logistics model indicates no significant differences between these two parameters. However, the ymax or viral titer log (PFU/mL) upper asymptote values did not overlap suggesting significant differences between the two values with viral titer values for SARS-CoV (SARS) value higher than SARS-CoV-2 (COVID-19). The result obtained in this study warrants further study to the infection rate for both viruses that can be useful in studying potential similarity and differences between the two viruses.

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Published

31.07.2020

How to Cite

Shukor, M. Y., & Alam, M. S. (2020). Mathematical Modelling of the Growth of SARS-CoV-2 (COVID-19) and SARS-CoV (SARS) Viruses in Vero E6 Cells. Journal of Environmental Microbiology and Toxicology, 8(1), 1–4. https://doi.org/10.54987/jemat.v8i1.499

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Articles