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Abstract Background COVID-19 spread between and across nearly every country, with considerable negative health consequences. The current study aimed to determine the prevalence of violence and its association with mental health among Iranians older than 15 years in 2020. Methods Data was collected through National Mental Health Survey on 24,584 Iranians older than 15 years in 2020. were analyzed to determine the prevalence of violence and its association with mental health. Multi-stage sampling method was used, and data on demographic characteristics and domestic-social violence and mental health (GHQ-28) were collected. Data analysis was administered using descriptive statistics and a chi-square test at a 95% level. Results The mean age of participants was 44.18 ± 16.4 years. The overall prevalence of domestic and social violence was 11.4% and 5.5%, respectively. Verbal violence was the most common type; with 61.8% and 66.8% for domestic and social violence, respectively. A suspected case of mental disorder, female gender, being younger than 25 years, living apart together, unemployment, low education, and history of COVID-19 infection presented a significant association with domestic and social violence (p > 0.05). Conclusion In comparison to the previous study in 2015, the prevalence of violence has increased. Therefore, domestic and social violence are the social concerns of Iranian society, indicating the necessity of appropriate interventions, particularly for those suspected of mental disorders and young women with low education levels.

Abstract Background and aim It seems that acceptance of COVID-19 vaccination is the most effective way to tackle the COVID-19 pandemic now. Health care workers (HCWs) are one of the most important groups who are at risk for COVID-19 infection. This study aimed to assess the COVID‐19 vaccine acceptance among HCWs in Iran and its determinants. Methods A cross‐sectional survey was carried out among 3600 HCWs in Iran. Data were collected through a self-administered questionnaire by a trained team from February to March 2021. Multi-stage cluster sampling method was used for selecting respondents of the study. Multivariate logistic regression analysis was used to determine the key factors of COVID-19 vaccine acceptance among participants. P-value

Acceptance of the SARS-CoV-2) COVID-19( vaccine is a very important factor to keep health workers safe. The study aimed to evaluate the psychometric properties of intention to receive the COVID-19 vaccine using a health belief model among health workers in Iran The study was a tools design study that was conducted in the period from February to March 2020, Iran Questionnaire items were designed using text review. The sampling method was multi-stage. Data were analyzed using descriptive statistics, confirmatory and exploratory factor analysis at a 95% confidence level using SPSS software version 16. The designed questionnaire had an appropriate content validity and internal consistency. Also, the exploratory factor analysis showed that a 5-factor structure was extracted and confirmatory factor analyses revealed that the conceptual five-factor structure of the measure had good fit indices. Reliability was evaluated using internal consistency. Cronbach Alpha coefficient was .82 and the intra-class correlation coefficient (ICC) was .9. It can be concluded that the instrument designed in the preliminary stage of psychometrics properties had good validity and reliability indicators. Also, the constructs of the health belief model well explain the determinants of the intention to receive the COVID-19 vaccine at the individual level.