ABSTRACT
BACKGROUND: The determination of the rate of social distancing compliance and mask-wearing adherence is essential to address the health aspects of COVID-19. The present study aimed to estimate the adherence to mask-wearing and maintaining the social distancing in public places in Hamadan, western Iran, during the COVID-19 pandemic. STUDY DESIGN: The present study was conducted based on a cross-sectional design. METHODS: The current study included 72 images from 12 areas in Hamadan as clusters in January 2021. The images were extracted from the traffic control center of Hamadan Municipality. The mean of social distancing and percentage of mask-wearing in all clusters were obtained based on cluster sampling. RESULTS: In this research, the majority of people(68%) of people in public places were men and 32% women. The mean±SD of social distancing in all public places in Hamadan was obtained at 65.27 ±73.37 cm (95% CI: 38.48-92.08). The percentage of men who wore masks correctly was higher than that of women (57% vs. 51%). Moreover, mask-wearing adherence was not recognizable in about 34% of people in the images (28% of men versus 48% of women). Among the people whose images were recognizable, all the women were wearing masks, while about 13% of men were not (P<0.05). CONCLUSION: As evidenced by the obtained results, the mean social distance in Hamadan was much lower than the standard value (1.5-2 meters) even at the time of restrictions. Although more than half of people wore masks in public places, it was much less than that in developed countries. Therefore, people should pay more attention to health advice regarding mask-wearing and maintaining social distance.
Subject(s)
COVID-19 , Pandemics , Cross-Sectional Studies , Female , Humans , Iran , Male , Masks , Physical Distancing , SARS-CoV-2ABSTRACT
BACKGROUND: Identifying the predictors of COVID-19 related death in diabetes patients can assist physicians for detecting risk factors related to the worse outcome in these patients. In this study we investigated the predictors of the death in patients with diabetes compared with non-diabetic COVID-19 patients. METHODS: In the present case-control study, the case group were diabetic patients with COVID-19 and the control group included Non-diabetic COVID-19 patients. The data source regarding the demographic characteristics, clinical symptoms, laboratory, and radiological findings on admission as well as the complications, treatment, and outcomes during hospitalization were gathered from their medical record through two trained nurses. Adjusted and unadjusted odds ratios (OR) estimate were calculated using the simple and multiple logistic regression through backward model. RESULTS: The mean (SD) age of the case group was higher than that of the control group; [65.24 (12.40) years vs. 59.35 (17.34) years, respectively (P < 0.001)]. Results of the adjusted logistic regression model showed that, advanced age (+60 year) (OR = 5.13, P = 0.006), addiction (OR = 5.26, P = 0.033), high level of Blood urea nitrogen (OR = 5.85, P < 0.001), and high level of Alkaline Phosphatase (OR = 3.38, P = 0.012) in diabetic patients were significantly associated with increase the odds of death in COVID-19 patients. CONCLUSION: We found that in COVID-19 patients with diabetes; advanced age, addiction, high level of BUN and Alp and in non-diabetic COVID-19 patients advanced age, dyspnea, high level of BUN and SGOT were associated with increase risk of death in these patients.