Objective: This study analyzes the infection control procedures and performance status for dental medical institutions
regarding infection control measures within dental clinics. It investigates by dental position, gender, and career those in contact
with COVID-19 confirmed patients and identifies the level of infection control. This study aims to provide basic data for preventing
coronavirus, suggesting monitoring dental workers in contact with COVID-19 patients should be managed by safety procedures,
and blocking infections by air passageways in clinics, as well as managing facilities and dental workers’ safety.
Methods: In order to understand the general characteristics of the subjects of this study, the mean and standard deviation
were obtained, and technical statistics by occupation were obtained for dental workers who had tested negative after contact
with a confirmed coronavirus patient. In order to correlate air infection by gender and occupation, a response sample t-test was
conducted by analyzing the occupation and contact experience of confirmed patients and dental clinic worker’s position, and in
clinic spacing design to prevent infection as well as gender and room ventilation, and post-treatment disinfection. To analyze air
infection in dental clinics, the automatic design for infection control within dental staff was cross-analyzed, and clinic ventilation
by staff position was cross-analyzed according to position, as well as disinfection done after treatment, and ONE-WAYANOVA was
done by position. Facility management and career correlation analysis were performed by both tests, and career regression analysis
such as mask wearing, sharing refreshments and conversations, hand hygiene, washing work clothes, and monitoring infected
employees were analyzed at a significance level of .05.
Results: The average and standard deviation of the job group tested negative after contact with confirmed patients in response
1. In the air infection management response sample t-test by gender and occupation the results were -.433 (1.823), t=-3.387 with
a p value of 0.01, which is a significant level. note at 05. In Response 2, the mean and standard deviation by dental position and
procedures to prevent infection movement were -1.039 (1.475), and the t=-10.038 p value was 0.00, which was significant at the
significance level of 0.05. The gender of Response 2 and the mean and standard deviation of the treatment room ventilation are
-2.551 (1.024), t= -35.471p values are 0.00 and are significant at the significance level of 0.05. Response 4 Gender and the mean and
standard deviation in post-treatment disinfection are -2.433 (1.193), t = -29.045, p value is 0.00 and significance level is 0.05. These
show a significant result as 05. The results of cross-analysis for dental clinic automatic design regarding air infection: For infection
control by position, 57 people, 56.4% were the predominant category; but 16 people, 50.0% were highly likely for infection; and 14
people, 45.2% were nursing assistants. The results show a 2.5% ratio for 5 people who are ‘not very likely/ unlikely for infection’
and who are not risk factors. Cross-analysis was conducted to find out if there were significant differences in automatic design
of infection control by position x2 = 16.960a, and the significance probability was .388, indicating that there was no significant
difference in the automatic design for infection control regarding position at the significance level of 0.05.
Conclusion: F statistic 3.292, refreshments and conversations lead to regression of dental safety management. The significance
probability .002 is a significant explanation for increased risk of infection due to position and casual contact while conversing
and having refreshments; these were at the significance level of .05 (t=3.152, p=.002), the heightened risk due to these factors is
explained as 0.077% of the total change (according to the modification coefficient, 0.054%).