Using Exploratory factor analysis.( EFA ) as a modern and advanced statistical model in the process of data analysis and health education is important for every citizen, but when a large crowd occurs, medical teams and statistical methods must intervene to address the issue and develop an action plan to avoid the occurrence of patient injuries or epidemic infections among this group of citizens. The importance of combining the factor analysis method with disease transmission emerged from here. The occasion of the Arbaeen pilgrimage is a major event as it brings together millions of citizens annually in a small geographical area. The reason for the lack of health awareness may be the spread of epidemics and diseases. Through this research, we distributed questionnaire forms to visitors infected with diseases, specifically in the year 2024, where the size of the research sample was (600 observations) divided between males and females in numbers respectively (536) and (64). (10 basic variables) were established that have a direct impact on the spread of infection or diseases among visitors. The factor analysis method was used as a statistical method to process this data , The value of the test (KMO) was equal to the test (0.893) and the value of the test (Bartlett's) was equal to (0.00) , which indicates the adequacy of the studied sample and its suitability with the 
exploratory factor analysis method. as it works this method to reduce the variables into main factors. It became clear to us after conducting the analysis that there is There were only two main factors, and the variance value for the first factor was (80.657) and the second factor was (10.743), meaning that these factors explain a value of (91.400) of the total variance value for the phenomenon under study, which is a good and large value, noting that the data were analyzed statistically using the statistical application (SPSS).