Coronavirus disease 2019 (COVID-19) is a declared global pandemic with multiple risk factors. Obesity is considered by several researchers as one of the serious risk factors for coronavirus complications based on recent empirical studies. Yet, other scholars argue in favor of the existence of an obesity survival paradox, and criticize the former group of studies on the grounds that they lack controls for race, socioeconomic status, or quality of care. The objective of the current study is to analyze the potential relationships between different corona indicators and obesity on a state-wide level, based on an OECD report. In an attempt to test the counter-intuitive possibility of an obesity survival paradox, the proposed empirical model relaxes the assumption of monotonic change by applying the quadratic design and testing which one of the two competing models (i.e., quadratic or linear) better fits the data. Findings suggest more complex relationships between corona indices and obesity rates than previously thought. Consequently, ethical guidelines referring to priority in intubation and intensive care treatments should account for these complex relationships between obesity and corona. Indeed, there is a linear increase of mortality rate from corona with elevated prevalence of obesity. Yet, other indicators, such as the number of infected per 100,000 persons, rates of severe corona cases, rates of recovered corona patients and corona as the cause of death exhibit quadratic, rather than linear, patterns. The reasons for these non-linear patterns might be explained by several conditions such as increased metabolic reserves, more aggressive treatment, other non-corona complications for obese persons and unidentified factors that should be examined in future research.