The role of blood groups, vaccine type and gender in predicting the severity of side effects among university students receiving COVID-19 vaccines.

On March 11th, 2020, the World Health Organization (WHO) declared the coronavirus disease 2019 (COVID-19) a pandemic. To control the pandemic, billions of vaccine doses have been administered worldwide. Predictors of COVID-19 vaccine-related side effects are inconsistently described in the literature. This study aimed to identify the predictors of side effects' severity after COVID-19 vaccination among young adult students at Taif University (TU) in Saudi Arabia. An online, anonymous questionnaire was used. Descriptive statistics were calculated for numerical and categorical variables. Possible correlations with other characteristics were identified using the chi-square test. The study included 760 young adult participants from TU. Pain at the injection site (54.7%), headache (45.0%), lethargy and fatigue (43.3%), and fever (37.5%) were the most frequently reported COVID-19 vaccine-related side effects after the first dose. The most frequent side effects were reported among the 20-25-year-old age group for all doses of all vaccines. Females experienced remarkably more side effects after the second (p < 0.001) and third doses (p = 0.002). Moreover, ABO blood groups significantly correlated with vaccine-related side effects after the second dose (p = 0.020). The participants' general health status correlated with the side effects after the first and second doses (p < 0.001 and 0.022, respectively). The predictors of COVID-19 vaccine-related side effects in young, vaccinated people were blood group B, female gender, vaccine type, and poor health status.

Correlation between the severity of COVID-19 vaccine-related adverse events and the blood group of the vaccinees in Saudi Arabia: A web-based survey.

Background: Recent epidemiological studies have reported an association between the ABO blood group and the acquisition, symptom severity, and mortality rate of coronavirus disease 2019 (COVID-19). However, the association between the ABO blood group antigens and the type and severity of COVID-19 vaccine-related adverse reactions has not been elucidated. Patients and Methods: We conducted a cross-sectional, questionnaire-based study in Saudi Arabia from February to April 2022. The study cohort included adults who had received or were willing to receive at least two doses of a COVID-19 vaccine of any type. We used Chi-square test to assess the association between the ABO blood groups and vaccine-related adverse reactions. p values of <0.05 were considered significant. Results: Of the 1180 participants, approximately half were aged 18-30 years old, 69.2% were female, and 41.6% reported their blood group as O. The most frequent COVID-19 vaccine-related adverse reactions were fatigue (65%), pain at the injection site (56%), and headache (45.9%). These adverse reactions demonstrated significant correlations with the education level (p = 0.003) and nationality (p = 0.018) of the participants following the first dose, with gender (p < 0.001) following the second dose, and with the general health status (p < 0.001) after all the doses. Remarkably, no correlation was observed between the severity of the vaccine-related adverse reactions and ABO blood groups. Conclusion: Our findings do not support a correlation between the severity of COVID-19 vaccine-related adverse reactions and the ABO blood groups of the vaccinees. The creation of a national database is necessary to account for population differences.

The COVID-19 pandemic: prediction study based on machine learning models.

COVID-19 was first discovered in Wuhan, China in December 2019. It is one of the worst pandemics in human history. Recent studies reported that COVID-19 is transmitted among humans by droplet infection or direct contact. COVID-19 pandemic has invaded more than 210 countries around the world and as of February 18th, 2021, just after a year has passed, a total of 110,533,973 confirmed cases of COVID-19 were reported and its death toll reached about 2,443,091. COVID-19 is a new member of the family of corona viruses, its nature, behaviour, transmission, spread, prevention, and treatment are to be investigated. Generally, a huge amount of data is accumulating regarding the COVID-19 pandemic, which makes hot research topics for machine learning researchers. However, the panicked world's population is asking when the COVID-19 will be over? This study considered machine learning approaches to predict the spread of the COVID-19 in many countries. The experimental results of the proposed model showed that the overall R2 is 0.99 from the perspective of confirmed cases. A machine learning model has been developed to predict the estimation of the spread of the COVID-19 infection in many countries and the expected period after which the virus can be stopped. Globally, our results forecasted that the COVID-19 infections will greatly decline during the first week of September 2021 when it will be going to an end shortly afterward.

High Seroprevalence of SARS-CoV-2 IgG and RNA among Asymptomatic Blood Donors in Makkah Region, Saudi Arabia.

The gold-standard approach for diagnosing and confirming Severe Acute Respiratory Syndrome Corona Virus-2 (SARS-CoV-2) infection is reverse transcription-polymerase chain reaction (RT-PCR). This method, however, is inefficient in detecting previous or dormant viral infections. The presence of antigen-specific antibodies is the fingerprint and cardinal sign for diagnosis and determination of exposure to infectious agents including Corona virus disease-2019 (COVID-19). This cross-sectional study examined the presence of SARS-CoV-2 spike-specific immunoglobulin G (IgG) among asymptomatic blood donors in Makkah region. A total of 4368 asymptomatic blood donors were enrolled. They were screened for spike-specific IgG using ELISA and COVID-19 RNA by real-time PCR. COVID-19 IgG was detected among 2248 subjects (51.5%) while COVID-19-RNA was detected among 473 (10.8%) subjects. The IgG frequency was significantly higher among males and non-Saudi residents (p < 0.001 each) with no significant variation in IgG positivity among blood donors with different blood groups. In addition, COVID-19 RNA frequency was significantly higher among donors below 40-years old (p = 0.047, χ2 = 3.95), and non-Saudi residents (p = 0.001, χ2 = 304.5). The COVID-19 IgG levels were significantly higher among the RNA-positive donors (p = 001), and non-Saudi residents (p = 0.041), with no variations with age or blood group (p > 0.05). This study reveals a very high prevalence of COVID-19 IgG and RNA among asymptomatic blood donors in Makkah, Saudi Arabia indicating a high exposure rate of the general population to COVID-19; particularly foreign residents. It sheds light on the spread on COVID-19 among apparently healthy individuals at the beginning of the pandemic and could help in designing various control measures to minimize viral spread.

A New Approach in Identifying the Psychological Impact of COVID-19 on University Student’s Academic Performance

COVID-19 was first discovered in Wuhan, China on December 2019. It is one of the worst pandemics in human history. The education sector is one of the sectors most affected by the COVID-19 pandemic. Educators and students worldwide were forced to shift to online learning. Students, in particular, have suffered from the psychological impacts and learning difficulties caused by the lockdowns imposed by governments to control the pandemic. In this study, we used statistics and machine learning approaches to study the impact of COVID-19 pandemic on educations systems especially on university students’ psychological health. For this purpose, a questionnaire was created,which consisted of two primary parts. The first part collects the participant’s demographic and educational characteristics, while the second part gathers information about five primary dimensions: the use of digital devices, sleep habits, social communication, emotional mental state, and academic performance. The questionnaire was distributed to university students in three Arab countries: Egypt, Jordan, and Saudi Arabia. A total of 1766 responses were returned and analyzed using statistical and machine learning approaches. The results showed an evident correlation between student’s psychological health and the use of online education during the time COVID-19. The results also showed that there is a positive relationship between digital tools used for online education and the academic performance of students during the time of COVID-19. Finally, the results highlighted the harmful impacts of COVID-19 on the education systems. The study ends by presenting suggestions and recommendations needed to improve the current online education system. Moreover, it is warranted for universities to have a role in helping students respond to the pandemic in a healthier psychological performance.

Psychological problems among the university students in Saudi Arabia during the COVID-19 pandemic

Abstract Background The 2019 coronavirus disease (COVID-19) pandemic is a public health emergency that represents a challenge to psychological health. This study aimed to assess the psychological conditions among university students in Saudi Arabia during the COVID-19 pandemic. Methods During the period between the 4th and 18th of June 2020, the students of Umm AlQura University in Saudi Arabia were invited to complete an online survey. The survey assessed their sociodemographic characteristics, educational disciplines, and manifestations of psychological health problems including depression, anxiety, and stress as determined by the Arabic version of the Depression Anxiety Stress Scale-21 (DASS-21). Results The study included 936 university students (56.4% women and 43.6% men). Of them, 41.1% had depressive symptoms (31.7% mild to moderate and 9.4% severe to very severe), 26.9% had anxiety symptoms (15.8% mild to moderate and 11.1% severe to very severe), and 22.4% had stress symptoms (15.2% mild to moderate and 7.2% severe to very severe). Students who reported having a friend or relative infected with or died of COVID-19, watching or reading news about the pandemic ≥2 hours/day, and not getting emotional support from family, university, and society were more likely to show psychological problems. Conclusion Symptoms of depression, anxiety, and stress were common among Saudi university students during the COVID-19 pandemic. Psychological counseling and support should be provided to university students in Saudi Arabia.

Psychological impacts of COVID-19 pandemic on the university students in Egypt.

University students are at elevated risk for mental health problems. The COVID-19 pandemic and subsequent public health measures taken to combat it burdened the students' life with additional dramatic psychological impacts. The aim of this study was to investigate the psychological impacts that affected the university students in Egypt during the COVID-19 pandemic. An online survey was sent to the Egyptian university students via all means of online communication during the first week of May 2020 by using a non-probability snowball sampling. A survey included a short version Depression Anxiety Stress Scale-21 (DASS-21) and socio-demographic data. Overall, 70.5, 53.6 and 47.8% of Egyptian students had depression, anxiety and stress, respectively. Being a female, having a relative or acquaintance infected with COVID-19, having a preexisting chronic disease and lacking of psychological support from families, community and universities increase the risk of depression, anxiety and stress among Egyptian students. Being a medical student is associated with depression while, spending more time to follow news of COVID-19 pandemic is associated with increased anxiety. Egyptian students experience varying levels of psychological disturbance during COVID-19 pandemic. This study suggests that mental health of the university students should be carefully, monitored during the crisis and the universities should provide psychological-oriented services, adapted to these circumstances to mitigate its emotional impact on the students.

ARIMA models for predicting the end of COVID-19 pandemic and the risk of second rebound.

Globally, many research works are going on to study the infectious nature of COVID-19 and every day we learn something new about it through the flooding of the huge data that are accumulating hourly rather than daily which instantly opens hot research avenues for artificial intelligence researchers. However, the public's concern by now is to find answers for two questions; (1) When this COVID-19 pandemic will be over? and (2) After coming to its end, will COVID-19 return again in what is known as a second rebound of the pandemic? In this work, we developed a predictive model that can estimate the expected period that the virus can be stopped and the risk of the second rebound of COVID-19 pandemic. Therefore, we have considered the SARIMA model to predict the spread of the virus on several selected countries and used it for predicting the COVID-19 pandemic life cycle and its end. The study can be applied to predict the same for other countries as the nature of the virus is the same everywhere. The proposed model investigates the statistical estimation of the slowdown period of the pandemic which is extracted based on the concept of normal distribution. The advantages of this study are that it can help governments to act and make sound decisions and plan for future so that the anxiety of the people can be minimized and prepare the mentality of people for the next phases of the pandemic. Based on the experimental results and simulation, the most striking finding is that the proposed algorithm shows the expected COVID-19 infections for the top countries of the highest number of confirmed cases will be manifested between Dec-2020 and  Apr-2021. Moreover, our study forecasts that there may be a second rebound of the pandemic in a year time if the currently taken precautions are eased completely. We have to consider the uncertain nature of the current COVID-19 pandemic and the growing inter-connected and complex world, that are ultimately demanding flexibility, robustness and resilience to cope with the unexpected future events and scenarios.

Depressed, anxious, and stressed: What have healthcare workers on the frontlines in Egypt and Saudi Arabia experienced during the COVID-19 pandemic?

INTRODUCTION: As the Novel Corona Virus Disease (COVID-19) was declared by the world health organization a pandemic in March 2020, thousands of healthcare workers (HCWs) worldwide were on the frontlines fighting against the pandemic. Herein, we selected two Middle East countries; Egypt and Saudi Arabia to investigate the psychological impacts of the COVID-19 pandemic on their HCWs. METHODS: In this cross-sectional study, a Google survey was used to access HCWs in many hospitals in Egypt and Saudi Arabia between the 14th and 24th of April 2020. The survey assessed HCWs regarding their sociodemographic and occupational features, sleeping hours, and psychological impacts of the COVID-19 pandemic using the Depression Anxiety Stress Scale-21 (DASS-21). RESULTS: This study included 426 HCWs (48.4% physicians, 24.2% nurses, and 27.4% other HCWs). Of them, 69% had depression, 58.9% had anxiety, 55.9% had stress, and 37.3% had inadequate sleeping (<6 h/day). Female sex, age ≤30 years, working in Egypt, attending emergency and night shifts, watching/reading COVID-19 news ≥2 h/day, and not getting emotional support from family, society, and hospital were associated with a high likelihood of depression, anxiety, stress, and inadequate sleeping. LIMITATIONS: the cross-sectional design restricted our ability to distinguish between preexisting and emerging psychological symptoms. CONCLUSION: HCWs on the frontlines in Egypt and Saudi Arabia experienced depression, anxiety, stress, and inadequate sleeping during the COVID-19 pandemic.