ABSTRACT
The World Health Organisation lists vaccination hesitancy as the 10th greatest health threat worldwide. Vaccination hesitancy is a phenomenon ranging from an individual's indifference to vehement opposition to any vaccination, and this study explores the risk profiles of a sample of the Saudi population in early 2021 contemplating their COVID-19 (Coronavirus disease of 2019) vaccination decisions. In May 2021, Saudi government policy mandated vaccination for individuals to engage in many public activities, which may change the population's risk profile. This research identified vaccination acceptance factors for the COVID-19 phenomenon in early 2021 whilst vaccines were new and untried on populations. Using an internally valid measure supported by explanatory factor analysis, it was found that a high proportion of the Saudi population (88%) intended to be vaccinated against the coronavirus. Significant factors included education, chronic disease, and peer influences. The results could assist the Ministry of Health in vaccine logistics and assist with targeting at-risk groups to encourage further vaccination against the coronavirus.
ABSTRACT
Background: The COVID-19 pandemic is an issue of global concern. It has been nine months since the first confirmed case of the coronavirus disease in Saudi Arabia. The recent COVID-19 outbreak has had a devastating impact on education, economic, stability and health. This study investigates the prevalence of anxiety and depression among individuals in Almadinh KSA during COVID-19. Method: A cross-sectional questionnaire was distributed to public in Amdadina KSA via Google forms collect the data. The responds included 78 female and 352 male, socio-demographic information including age, gender, and education levels was collected. Three mathematical models were determined to be powerful statistical techniques for classifying and predicting anxiety and depression: logistic regression, decision tree, and analysis. Results: The prevalence rates of anxiety and depression were 92.6 % and 91.4.0%, respectively. The decision tree and linear discriminate analysis yielded the same results. The accuracy of correctly classified cases was the same in all three methods. This analysis reveals significant structural differences between three methods. There is a wide range of Saudi citizens who are at higher risk for dysfunctional behavior during COVID-19 pandemic.