*2.4. Procedure*

All variables were integrated into an online survey using Google Forms that was sent to all participating universities for dissemination, for convenience, through mailing lists, between November 2020 and January 2021. Multiple responses were avoided with the response identification protocol. Completing the questionnaire took an average of 6 min. The students only completed the questionnaires indicated in this work.

#### *2.5. Statistical Analysis*

IBM SPSS Statistics 22 was used for the statistical analysis. A bilateral contrast and a confidence level of 95% were adopted. To analyze possible missing values, we used the EM method (expected maximization). A descriptive analysis was performed for all the variables studied (means and SD for quantitative variables and percentages for qualitative variables). Comparisons were made between the categories defined by the independent variables for all the scales evaluated (SOC, coping styles, risk factors and knowledge) by means of Student's *t*-test for independent samples. A bivariate correlation analysis was performed between all the variables using Pearson's r test. A forward stepwise multiple regression analysis was calculated using the dependent variable of having suffered from COVID-19 and the predictor variables of different SOC scales, risk perception, risk factors, coping styles and knowledge.
