COVID-19 has shocked the bedrock of society, impacting both human life and the economy. Accompanying this shock has been the psychological distress inflicted onto the general population as a result of the emotion strain stemming from isolation/quarantine policies, being sick with COVID-19, dealing with COVID-19 losses, and post-COVID syndrome and its effect on quality of life. The psychological distress has been experienced by the general population, but compared to middle age (30-50) and older adults (>50 years of age), it has been young adults (18-30 years old) who have been more psychologically affected (Glowacz & Schmits, 2020). Psychological distress, specifically anxiety and depression, has been exacerbated by feelings of uncertainty, fear of illness, losing loved ones, and fear of post-COVID syndrome. Post-COVID syndrome, as with other post-viral syndromes such as post viral SARS involve lingering symptoms such as myalgic encephalomyelitis or Chronic Fatigue Syndrome (CFS), and loss of motivation (Underhill, 2015). In addition to these symptoms, patients suffering from post-COVID syndrome have also presented brain inflammation and damaged brain blood vessels (Meinhardt et al., 2021), Endotheliitis (Varga et al., 2020), CV abnormalities and changes in glucose metabolism (Williams et al., 2020). CV abnormalities and changes in glucose metabolism are connected to chronic illnesses like diabetes and heart disease respectively. These chronic illnesses are then associated with higher risk for depression as a result of the stress induced by the symptoms and their impact on quality of life (NIMH, 2021). Further monitoring, and research will be important to gauge ultimate physiological and psychological impact of COVID-19.

As much as SARS-CoV-2 has altered the way humans live since the beginning of 2020, this virus's deadly nature has required clinical testing to meet 2020's demands of higher throughput, higher accuracy and higher efficiency. Information technology has allowed institutions, like Arizona State University (ASU), to make strategic and operational changes to combat the SARS-CoV-2 pandemic. At ASU, information technology was one of the six facets identified in the ongoing review of the ASU Biodesign Clinical Testing Laboratory (ABCTL) among business, communications, management/training, law, and clinical analysis. The first chapter of this manuscript covers the background of clinical laboratory automation and details the automated laboratory workflow to perform ABCTL’s COVID-19 diagnostic testing. The second chapter discusses the usability and efficiency of key information technology systems of the ABCTL. The third chapter explains the role of quality control and data management within ABCTL’s use of information technology. The fourth chapter highlights the importance of data modeling and 10 best practices when responding to future public health emergencies.

Developing a vaccine during the midst of a pandemic requires a careful balance between <br/>speed, safety, and efficacy. For the COVID-19 pandemic, the U.S. implemented Operation Warp Speed to accelerate the timeline for vaccine development. The FDA also imposed specific guidelines for granting Emergency Use Authorization (EUA). As of April 1st, 2021, Operation Warp Speed resulted in three different vaccines receiving EUA, all of which are currently being administered to the public. However, the rapid production and changes in the approval process intensified public scrutiny on the safety and efficacy of the vaccine. This thesis analyzes the differences in fast-tracking a vaccine, which consolidated the authorization process into months rather than years, and delineates the main concerns of the public regarding the COVID-19 vaccine through a media analysis. Although the EUA raised questions about the safety of the vaccine, polls indicate that most Americans would still be willing to receive the vaccine.

An exploration into the history of the 1918 Influenza Pandemic and the societal impacts associated with it, as well as an analysis of the developing SARS-CoV-2 pandemic today. Based upon these analyses, similarities were drawn between the two pandemics which suggested a lack of innovation in preventative measures over the last century. Given this conclusion a series of proposals were made that should be further explored to give not only the United States, but the world at large, a better chance in the face of the next emerging disease.

The purpose of this study was to evaluate the pandemic’s effect on the psychosocial and physical quality of life of children with and without classic galactosemia and their parents in the Babble Boot Camp. The Babble Boot Camp within ASU’s Speech and Hearing Genetics Lab provides early intervention speech therapy for children with classic galactosemia (CG), evaluating their speech progress as well as other metrics related to stress and quality of life. In this study, the Quality of Life questionnaire (Varni, 1998) was used to measure how three pandemic stages (pre-pandemic, intense-pandemic, post intense-pandemic) affected the entire participant population, those with CG children compared to typically developing, and each family member (father vs. mother vs. child). These factors were combined within an integrated regression model to see driving factors and correlations within responses. The main results were that the pandemic itself did not have a significant effect, but there was quite a significant impact on psychosocial health when comparing affected vs unaffected groups. Evaluating an integrated regression model with the consideration of all three pandemic phases, the results show that the factor driving group differences over time was the affectation of the participant for psychosocial health and family member for physical health. When looking at just pre-pandemic and intense pandemic phase, both models in their entirety were significant, showing that all predictors (affectation, pandemic phase, and family member) drove health differences. Lastly, the findings of the study show that there were significant correlations between the health scores of fathers, mothers, and children throughout the different stages of the pandemic.

Studies during and following the height of the Coronavirus pandemic show that psychological and physical health levels decrease, due to factors such as reduced human contact and anxiety. However, there is little to no research on how quality of life levels would change over the course of the pandemic for families who have the added stress of having a child with a developmental complication. To answer this question, this study utilized longitudinal data from the Babble Boot Camp, a project under the ASU Speech Language Genetics Lab, to analyze quality of life measures in families who have children with Classic Galactosemia (CG). CG is an inborn metabolic disorder that causes an intolerance to galactose, a sugar in dairy, the effects of which can be deadly. These children often show signs of developmental delays in multiple areas within the first few years of life. Studying quality of life surveys before, during, and after the most intense phase of the pandemic, this study investigates the difference between these families and those with typical children.