Use of mind genomics to public health and wellbeing. Lessons from COVID-19 pandemic data set

Sample size (n=100) was determined based on the minimum requirements of the mind genomics engine when mapping the mindset of a population living in a certain area. The survey-based study had a cross-sectional design on a representative group of the UAE population (citizens and residents). The experiment construct was created using the tenets of mind genomics, which are derived from established fields including statistics, market research, and experimental psychology. This emerging science examines how a typical person evaluates different aspects of a situation to reach a particular decision using a mind genomics mapping. Participants evaluated a set of 24 combinations (also called vignettes) related to four aspects of physical distancing: 1) perceived risk, 2) specific action to be taken, 3) compliance policy, and 4) communicator of the information, which were randomly mixed by the program. The rating of each combination represented the extent to which it described the respondent’s perception and mindset related to COVID-19 safety rules. Each vignette was rated on a 5-point scale (1=Not me at all; 5=Perfectly me). Response time of participants was also recorded to assess the degree to which each message or element engaged participants’ attention. Questions and answers were entered into a computer program (www.BimiLeap.com), which allowed a rapid processing of data to acquire the expected conclusions (Bellissimo et al., 2020). data are generated by the BimiLeap website and downloaded from there