Combination anti-coronavirus therapies based on nonlinear mathematical models

Resumen

Currently, there are no approved treatments for the SARS-CoV-2 infection. Moreover, scientists do not know any treatment that would consistently cure COVID-19 patients. This paper is an argument for combination therapies against COVID-19. We investigate a nonlinear dynamical system that describes the SARS-CoV-2 dynamics under the influence of immunological activity and therapy. Using the nonlinear mathematical model and experimental data from laboratory and clinical studies, we have designed new combination therapies against COVID-19. The therapies are based on antivirals in combination with other therapeutic approaches. The general therapeutic plan is as follows: Gene therapy and/or antivirals plus immunotherapy and anti-inflammatory drugs and/or drugs that control cytokine storms plus cytotoxic therapies. We believe that these new therapies can improve patient outcomes.