Abstract
CoVID-19 pandemic due to SARS-CoV-2 virus has been spreading rapidly worldwide since late 2019, and it may become one of the largest pandemic events in modern human history if out of control. It appears most of the CoVID-19 infection resulted deaths are mainly due to severe hypoxia from dysfunction of the lung, and that could be attributed to host’s immunodysfunctions particularly hyperinflammatory type disorders or allergic reaction. In this brief review and study, a mathematical model is proposed to correlate the Pathogen Infection Recovery Probability (PIRP) versus Proinflammatory Anti-Pathogen Species (PIAPS) levels, where a maximum PIRP is expected when the PIAPS levels are equal to or around PIAPS equilibrium levels at the pathogen elimination or clearance onset. Based on this model, rational or effective therapeutic strategies at right stages or timing, with right type of agents (immuno-stimulators or immuno-suppressors), and right dosages, could be designed and implemented that are expected to effectively achieve maximum PIRP or reduce the mortality.