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Introduction: Globally, the COVID-19 pandemic has affected the number of road accidents and deaths caused by them. The present study aimed to identify the effect of this epidemic on traffic accidents and their casualties in Iran. Methods: In this study, Interrupted Time Series Analysis (ITSA) was used in a semi-experimental design to measure the impact of the restrictive policies of COVID-19 on road accidents. Data were collected retrospectively from the Iran Red Crescent Society data set for 31 provinces from March 2017 to February 2022. The information related to the number of road accidents, injuries, deaths, and deaths in the hospital was collected. The Newey‐West method is used for estimation. Statistical analyses were carried out using R software version 3.6.1. Results: Since February 2020 in Iran, the reduction in the number of road accidents and the number of injuries and deaths in these accidents was significant at 5% but the reduction of deaths in the scene and hospital was significant at 10%. In general, for all variables, the reduction trend was established only in the first months, and then it had an upward trend. Conclusion: In the early months of the COVID-19 epidemic in Iran, the number of road accidents and their casualties decreased. Policies restricting traffic, quarantine, and fines for violators can be reasons for changing people's behavior and travel patterns and also lead to a reduction in traffic accidents and fatalities. Such studies can explain the importance of the policies in changing behavioural patterns and can be used as a guide in future policies. [ABSTRACT FROM AUTHOR]

Background: The concurrence of acute myocardial infarction (AMI) with COVID-19 can complicate the clinical conditions of patients and affect the patterns of hospital resource utilization. This study aimed to investigate and analyze the direct treatment costs of AMI patients with concurrent COVID-19. Methods: This cross-sectional study collected and analyzed clinical data, including symptoms, readmission, and interventions, and treatment cost data for all patients at Tehran Heart Center using SPSS26 software. The mean medical costs of patients from January through May 2022 were also calculated. Results: The COVID-19 group was composed of 72.9% male and 27.1% female patients, whereas the non-COVID-19 group consisted of 67.3% male and 32.7% female patients. Most of the patients in the COVID-19 group (60%) were in the elderly age group (>65 y). The length of stay was 8.70±5.84 days for the COVID-19 group and 6.31±4.42 days for the non-COVID-19 group. The mortality rate in the COVID-19 group was 24%, higher than the 5% rate in the other group. Additionally, the average total treatment costs were $6384.54±$6760.13 in the COVID-19 group and $6362.49±$4343.07 in the non-COVID-19 group (P>0.78 and P>0.050). Conclusion: The study found that the COVID-19 group had a significantly higher in-hospital mortality rate than the non-COVID-19 group. During the follow-up period, the incidence of complications (chest pain and heart failure) was higher in the non-COVID-19 group. It also showed that longer hospital stays resulted in higher treatment costs. [ABSTRACT FROM AUTHOR]