COVID-19 infections, recoveries, and mortality: an ANOVA model of locations and administrative areas in Saudi Arabia.

Background: Saudi Arabia has 13 administrative areas, all of which have been seriously affected by the COVID-19 epidemic regardless of their features. Being the largest and a prominent Arab country, epidemic intensity and dynamics have importance, especially in the era of Vision 2030 where infrastructure development and growth to enhance quality of life has of prime focus. Aims: This analysis aims to trace the differentials in COVID-19 infections, recoveries, and deaths across the country depending upon various demographic and developmental dimensions and interactions. Data and methods: This analysis used Saudi Arabia Ministry of Health data from March 15th, 2020 to August 31st, 2022, by classifying administrative areas and locations to build a generalized linear model (3 × 3): three types of administrative areas (major, middle-sized, and others) and localities (major, medium-sized, and others). Apart from two-way ANOVA, an one-way ANOVA also carried out in addition to calculating mean values of infections, recoveries, and deaths. Results: A total of 205 localities were affected with varying severity, which are based on local demographics. Both the administrative areas and localities had a significant number of cases of infections, recoveries, and mortality, which are influenced by relationships and interactions, leading to differential mean values and proportional distributions across various types of administrative areas and localities. Conclusion: There is dynamism that major administrative areas have lesser threats from the epidemics whereas medium-sized ones have serious threats. Moreover, an interaction of administrative areas and localities explains the dynamics of epidemic spread under varying levels of infrastructure preparedness. Thus, this study presents lessons learned to inform policies, programs, and development plans, especially for regional, urban, and infrastructure areas, considering grassroots level issues and diversity.

Exploring interrelationships of COVID-19 dimensions in Saudi Arabia: a systematic review.

Background: COVID-19 affected the world threatening medical, social, economic and community dimensions. Along with the other countries of the world, Saudi Arabia also witnessed critical emergencies leading to serious disaster due mainly to the overcrowding at certain urban residential localities. Nevertheless, the situation handled meticulously not only with measures and combating strategies but also with documentations and researches to build sustainable confrontation systems and lateral programs. Main body of abstract: This attempt is a consolidation of the academic efforts on COVID-19 in the country aiming to contribute to the knowledge base aiding to future planning on preparedness. An online survey of published academic research from peer reviewed journals were carried out during August-December 2022, using COVID-19 in Saudi Arabia as search criteria. Many areas of concern are assessed in the context which are classified into spread and burden, patient statistics, symptoms and other clinical dimensions, vaccinations and vaccine acceptance/hesitance, psychosocial impact, impact on education, impact on health staff, impact on migration, impact on nutrition, and control measures adopted. Short conclusions: A consolidation of these research findings explains the scientific academic community alertness in raising up to the emergency pandemic situation, which facilitated strategy and policy formulations by the Government ministries and other governing bodies. These researches are linked to stagewise programmatic efforts to curtail the epidemic as a mode of accomplishments.