ABSTRACT
Background: As the COVID-19 pandemic unfolded, rapid case increase was observed in multiple cities in Iran. However, in the absence of seroprevalence surveys, the true infection rate remains unknown. In this population-based study we assessed the seroprevalence of SARS-CoV-2 antibodies in eighteen cities of Iran.Methods: We randomly selected and invited study participants from the general population (N = 3,547) and occupations with high risk of COVID-19 exposure, defined as high-risk population (e.g., supermarket employees) (N = 5,391), in eighteen cities of Iran. SARS-CoV-2 ELISA kits were used to detect antibody against COVID-19. Crude, population weight adjusted, and test performance adjusted seroprevalence rates were estimated.Findings: The population weight adjusted and test performance adjusted prevalence rates of antibody seropositivity in general population were 13·1% (95% CI 11·6-14·8%) and 18·5% (95% CI 16·1-21·3%), respectively. The population-weighted seroprevalence estimate implies that 3,290,633 (95% CI 2,907185-3,709,167) individuals, from the eighteen included cities in this study, were infected by end of April 2020.The overall prevalence rate was higher among individuals aged ≥ 60 years (32·0%, 95% CI 23·9-40·8%) and with comorbidity condition (23·7%, 95% CI 18·5-28·8%). The estimated seroprevalence of SARS-CoV-2 antibodies varied greatly by city and the highest population test-adjusted prevalence rates were in Rasht 78·1% (95% CI 58·3-98·3%) and Qom (66·5%, 95% CI 39·9-95·4%) cities. The test-adjusted prevalence did not differ between low and high-risk populations and was about 20.0%.Interpretations: The findings of this study imply that prevalence of seropositivity is likely much higher than the reported prevalence rates based on confirmed COVID-19 cases in Iran. Despite the high seroprevalence rates in a few cities, the low overall prevalence estimates indicate that a large proportion of population is still susceptible to the virus. The similar seroprevalence estimates between low and high-risk occupations might be an indicator of inadequate or low adherence to infection control measures among general population.Funding Statement: Iranian Ministry of Health and Medical Education COVID-19 Grant (number 99-1-97-47964).Declaration of Interests: None to disclose.Ethics Approval Statement: Ethics approval for this study was granted by Vice-Chancellor in Research Affairs-Tehran University of Medical Sciences (IR. TUMS.VCR.REC.1399.308)
Subject(s)
COVID-19ABSTRACT
BackgroundMany efforts are being made around the world to discover the vaccine against COVID-19. After discovering the vaccine, its acceptance by individuals is a fundamental issue for disease control. This study aimed to examine COVID-19 vaccination intention determinants based on the protection motivation theory (PMT). Methods We conducted a cross-sectional study in the Iranian adult population and surveyed study participants from the first to the 30th of June 2020 with a web-based self-administered questionnaire. We used Structural Equation Modeling (SEM) to investigate the interrelationship between COVID-19 vaccination intention and perceived susceptibility, perceived severity, perceived self-efficacy, and perceived response efficacy. Results SEM showed that perceived severity to COVID-19 (β=.17, p < .001), perceived self-efficacy about receiving the COVID-19 vaccine (β=.26, p < .001), and the perceived response efficacy of the COVID-19 vaccine (β=.70, p < .001) were significant predictors of vaccination intention. PMT accounted for 61.5% of the variance in intention to COVID-19 vaccination, and response efficacy was the strongest predictor of COVID-19 vaccination intention. ConclusionsThis study found the PMT constructs are useful in predicting COVID-19 vaccination intention. Programs designed to increase the vaccination rate after discovering the COVID-19 vaccine can include interventions on the severity of the COVID-19, the self-efficacy of individuals receiving the vaccine, and the effectiveness of the vaccine in preventing infection.
Subject(s)
COVID-19ABSTRACT
Background Iran was one of the first countries to be affected by COVID-19. Identifying factors associated with the severity of COVID-19 is useful in disease management. This study investigated the epidemiological and clinical features and factors related to severe COVID-19 in Iran's less-privileged area.MethodsIn a multicenter study, all patients admitted to Zahedan University of Medical Sciences hospitals located in southeastern Iran were investigated from February 29 to April 31, 2020. The demographic, epidemiological, and clinical data of patients were extracted from medical records. To explore the risk factors associated with the severity of COVID-19, bivariate and multivariate logistic regression models were used. ResultsAmong the 413 patients, 55.5% were male, and 145 (35.10%) were in severe condition at admission time. Multivariate analysis showed that the adjusted odds of the disease severity increased in patients with older age (OR 3.51; 95% CI, 2.28-5.40), substance abuse (OR 2.22; 95% CI, 2.05-5.78), and at least one underlying disease (OR 3.45; 95% CI, 1.01-1.32).Conclusions COVID-19 was more severe in older patients, patients with a history of substance abuse, and patients with at least one underlying disease. Understanding the factors affecting the disease severity can help for the clinical management of COVID-19, especially in less privileged areas where fewer resources are available.