tandardization and validation of anxiety questionnaire due to the Outbreak of covid-19, its comparison and prediction using neural network, in an Iranian online sample, based on demographic characteristics

The aim of this study was to validate and standardize Corona Anxiety Questionnaire as well as to compare Corona anxiety among non-clinical individuals with different demographic characteristics and to predict Corona anxiety based on these characteristics. The statistical population included the statistical population of the present study and included all individuals aged 18 to 70 years living in Khuzestan province who participated in the research online. Sampling was available and out of 323 people who answered the online questionnaire, all of them (133 males and 190 females) were considered as a sample and answered the corona anxiety questionnaire of Alipour et al(1398) and the demographic questionnaire. The results showed that the questionnaire had a good reputation. There was a significant difference between the two groups of men and women in terms of total score as well as the subscales of physical and psychological symptoms of corona anxiety. There was no significant difference between the two age groups and between people with and without a university degree. Among the demographic characteristics, gender was the best predictor of anxiety, so age and education were the next predictors.