Perception of online and face to face microbiology laboratory sessions among medical students and faculty at Arabian Gulf University: a mixed method study.

BACKGROUND: The COVID-19 pandemic has impacted all spheres of society including medical education and healthcare systems. In response to the pandemic, there has been a transition in medical education practice from traditional forms of teaching to online instruction delivery and virtual learning. Effective clinical microbiology education involves a combination of 'hands-on' practical learning and instructional delivery of scientific knowledge. Microbiology practical laboratories are critical learning environments offering 'hands-on' learning experiences that cannot be replicated through online learning. We conducted a mixed-methods study to understand the perception of online and face-to-face microbiology laboratory sessions among the medical students and microbiology faculty at Arabian Gulf University (AGU). METHODS: The study participants were third and fourth-year undergraduate medical students and faculty involved in delivering microbiology labs at AGU. The questionnaire consisted of questions ranging from perceived learning style to attitude towards online delivery of microbiology curriculum. After the questionnaire administration (google form), focus group discussion (FGD) was conducted for students and microbiology faculty separately. RESULTS: Among 168 students, 50.6% preferred face-to-face lab sessions as compared to 30.4% who preferred online labs, and 51.8% considered online labs to be an essential addition to face-to-face labs. Among the faculty, 85.7% preferred the face-to-face mode of teaching. All the faculty (100%) disagreed that all the microbiology labs teaching should be online. 57.2% considered online labs to be an essential addition to traditional face-to-face labs. Both faculty and students hold that a blended mode of instructional delivery is vital and indispensable for the transfer of skills and knowledge for microbiology students. CONCLUSION: The blended mode of delivering microbiology laboratory sessions in medical school is successful and well-received by both students and faculty. Students take the responsibility for furthering their own learning and understanding of concepts. Instructors have also noticed that blending learning strategies also successfully enhances the development of cognitive skills and problem-solving abilities in students. A review of the microbiology lab curriculum is necessary to identify content areas that can be delivered effectively through online, face-to-face lab sessions, or both, supported with appropriate tools and infrastructure.

Reported Adverse Effects and Attitudes among Arab Populations Following COVID-19 Vaccination: A Large-Scale Multinational Study Implementing Machine Learning Tools in Predicting Post-Vaccination Adverse Effects Based on Predisposing Factors.

BACKGROUND: The unprecedented global spread of coronavirus disease 2019 (COVID-19) has imposed huge challenges on the healthcare facilities, and impacted every aspect of life. This has led to the development of several vaccines against COVID-19 within one year. This study aimed to assess the attitudes and the side effects among Arab communities after receiving a COVID-19 vaccine and use of machine learning (ML) tools to predict post-vaccination side effects based on predisposing factors. METHODS: An online-based multinational survey was carried out via social media platforms from 14 June to 31 August 2021, targeting individuals who received at least one dose of a COVID-19 vaccine from 22 Arab countries. Descriptive statistics, correlation, and chi-square tests were used to analyze the data. Moreover, extensive ML tools were utilized to predict 30 post vaccination adverse effects and their severity based on 15 predisposing factors. The importance of distinct predisposing factors in predicting particular side effects was determined using global feature importance employing gradient boost as AutoML. RESULTS: A total of 10,064 participants from 19 Arab countries were included in this study. Around 56% were female and 59% were aged from 20 to 39 years old. A high rate of vaccine hesitancy (51%) was reported among participants. Almost 88% of the participants were vaccinated with one of three COVID-19 vaccines, including Pfizer-BioNTech (52.8%), AstraZeneca (20.7%), and Sinopharm (14.2%). About 72% of participants experienced post-vaccination side effects. This study reports statistically significant associations (p < 0.01) between various predisposing factors and post-vaccinations side effects. In terms of predicting post-vaccination side effects, gradient boost, random forest, and XGBoost outperformed other ML methods. The most important predisposing factors for predicting certain side effects (i.e., tiredness, fever, headache, injection site pain and swelling, myalgia, and sleepiness and laziness) were revealed to be the number of doses, gender, type of vaccine, age, and hesitancy to receive a COVID-19 vaccine. CONCLUSIONS: The reported side effects following COVID-19 vaccination among Arab populations are usually non-life-threatening; flu-like symptoms and injection site pain. Certain predisposing factors have greater weight and importance as input data in predicting post-vaccination side effects. Based on the most significant input data, ML can also be used to predict these side effects; people with certain predicted side effects may require additional medical attention, or possibly hospitalization.

Identification of E484K and other novel SARS-COV-2 variants from the Kingdom of Bahrain.

The challenges imposed by the ongoing outbreak of severe acute respiratory syndrome coronavirus-2 affects every aspect of our modern world, ranging from our health to our socio-economic needs. Our existence highly depends on the vaccine's availability, which demands in-depth research of the available strains and their mutations. In this work, we have analyzed all the available SARS-COV2 genomes isolated from the Kingdom of Bahrain in terms of their variance and origin analysis. We have predicted various known and unique mutations in the SARS-COV2 isolated from Bahrain. The complexity of the phylogenetic tree and dot plot representation of the strains mentioned above with other isolates of Asia indicates the versatility and multiple origins of Bahrain's SARS-COV2 isolates. We have also identified two high impact spike mutations from these strains which increase the virulence of SARS-COV2. Our research could have a high impact on vaccine development and distinguishes the source of SARS-COV2 in the Kingdom of Bahrain.

Variant analysis of SARS-CoV-2 genomes in the Middle East.

BACKGROUND: Coronavirus (COVID-19) was introduced into society in late 2019 and has now reached over 88 million cases and 1.9 million deaths. The Middle East has a death toll of ~80,000 and over 35000 of these are in Iran, which has over 1.2 million confirmed cases. We expect that Iranian cases caused outbreaks in the neighbouring countries and that variant mapping and phylogenetic analysis can be used to prove this. We also aim to analyse the variants of severe acute respiratory syndrome coronavirus-2 (SARS -CoV-2) to characterise the common genome variants and provide useful data in the global effort to prevent further spread of COVID-19. METHODS: The approach uses bioinformatics approaches including multiple sequence alignment, variant calling and annotation and phylogenetic analysis to identify the genomic variants found in the region. The approach uses 122 samples from the 13 countries of the Middle East sourced from the Global Initiative on Sharing All Influenza Data (GISAID). FINDINGS: We identified 2200 distinct genome variants including 129 downstream gene variants, 298 frame shift variants, 789 missense variants, 1 start lost, 13 start gained, 1 stop lost, 249 synonymous variants and 720 upstream gene variants. The most common, high impact variants were 10818delTinsG, 2772delCinsC, 14159delCinsC and 2789delAinsA. These high impact variant ultimately results in 36 number of mutations on spike glycoprotein. Variant alignment and phylogenetic tree generation indicates that samples from Iran likely introduced COVID-19 to the rest of the Middle East. INTERPRETATION: The phylogenetic and variant analysis provides unique insight into mutation types in genomes. Initial introduction of COVID-19 was most likely due to Iranian transmission. Some countries show evidence of novel mutations and unique strains. Increased time in small populations is likely to contribute to more unique genomes. This study provides more in depth analysis of the variants affecting in the region than any other study.

Outcomes of COVID-19 in the Eastern Mediterranean Region in the first 4 months of the pandemic.

OBJECTIVES: To summarize the outcomes of the coronavirus disease 2019 infections in the Eastern Mediterranean Region (EMR) in the first 4 months of the pandemic. METHODS: A meta-analysis approach was used in this context. We used the aggregate data from the World Health Organization Regional Office for the EMRO (until 26 May 2020) to generate this report. RESULTS: An analysis of official data from all 22 countries and territories in the Middle East, North Africa, the Horn of Africa, and Central Asia K=22 (a total of 438,717 cases) was performed. The total number of cases, recovered cases were 438,717,228,986,  and deaths was 11,290 in the EMR. Meta-analytic pooling of the point estimates of recovery rate per country in the EMR was 52.5% (95% CI 52.3% - 52.6%). The lowest recovery rates were in Somalia (4.3%), and the highest rates were in Tunisia (87.4%). Meta-analytic pooling of the point estimates of death rate per country in the EMR yielded 3.85% [95% CI 3.80% - 3.9%]. Meta-analytic pooling of the point estimates of recovery rate per country in the Gulf Cooperation Council countries was 46.1% (95% CI 45.8% - 46.3%). Meta-analytic pooling of the point estimates of death rate per country in the Gulf Cooperation Council countries was 0.6% (95% CI 0.50% - 0.65%). CONCLUSION: Wide variability was found between EMR countries in recovery and mortality, implying the possible impact of resource availability, and genetic and environmental factors on the morality and recovery of the COVID-19.