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Quantum Mechanical Modeling of Perpetual Immunity to SARS-CoV-2 (COVID-19) Infection
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  • Muhammad Maqbool,
  • Asad Ullah,
  • Mujib Ullah,
  • Ghafar Ali,
  • Tino Unlap,
  • Tahirzeb Khan
Muhammad Maqbool
The University of Alabama at Birmingham

Corresponding Author:[email protected]

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Asad Ullah
Saint Mary's University Department of Chemistry
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Mujib Ullah
Stanford University School of Medicine
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Ghafar Ali
Pakistan Institute of Nuclear Science and Technology
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Tino Unlap
The University of Alabama at Birmingham
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Tahirzeb Khan
Abdul Wali Khan University Mardan
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Abstract

Survivors of SARS-CoV-2 (Covid-19) infections have a unique immune response that allows them to either delay reinfection or outsmarts the virus’s whims. The emergence of new SARS-CoV-2 variants and immunization have furthered this immune response by producing high-affinity anti-SARS-CoV-2 antibodies. There is limited data on the extent to which this immune response confers protective immunity against recurrent infections, as well as the duration of this protection. Here we present the first-ever quantum mechanical model to provide an answer to this question. The model is well applicable because of the 20 nm -500 nm size range of coronavirus. We call this model the ‘Quantum Perturbation Model’. The model relates the strength of the COVID-19 attack to a wave function containing information about the system (person infected by the SARS-CoV-2) and quantized energy states, which shows the chances of reoccurrence of the disease. By applying the energy corrections provided by the Quantum Perturbation Theory to the SARS-CoV-2 attack under reinfections and various pre-existing conditions we have provided possible interpretations. When pre-existing problems exist at the time of SARS-COV-2 infection, the model illustrates how the influence of COVID-19 accumulates up. The model also formulates the deficit in the intensity of the COVID-19 effect in recurrence or in the presence of other variables strengthening the body’s antibody affinity and immunity to resist the virus variants.