The experiment was completed to find the relationship between airway allergic diseases, with a priority on asthma, and covid-19. It was hypothesized if a patient had been diagnosed with asthma then the patient would be less susceptible to the coronavirus. First, it was determined that peer-reviewed studies and non-peer-reviewed (extensively checked) studies and papers would be included due to the lack of studies containing usable covid-19 and Asthma data. For inclusion in the analysis, studies were to compare the clinical outcomes of asthmatic/allergy patients with those patients without diagnosed with COVID-19 based on mortality rate. Data abstraction included the following details: authors, publication year, country of origin, comorbidities and smoking, history of corticosteroid use, number of patients hospitalized, and outcomes. Mortality data are to be summarized using the Mantel-Haenszel OR with 95% CI in a random-effects model. When the OR was reported in the included study, the data can be directly collected otherwise, the OR is to be calculated using the meta-analysis software (Mix 2.0) itself by entering the number of deaths and the sample size. The meta-analysis failed to support the hypothesis as the values obtained were not significant. These values were then compared to each other and a known risk factor, diabetes for a more thorough analysis. Finally, the data was applied to make inferences on the latest Covid strain. The experiment aimed to analyze the changes in susceptibility of a patient to Covid-19 if diagnosed with asthma.