This study looked at student’s perceptions of COVID-19 and differences in how universities handled COVID-19. It aimed to assess what measures made students feel safe and were the most effective in lessening spread. A risk-perception survey scored feelings of safety/risk, and semi-structured interviews provided context. Descriptive statistics and thematic analysis showed mixed opinions on university measures, and interviews identified wearing masks, social distancing, isolating, and limiting social contacts as measures that were effective in curbing spread.

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.

In this thesis paper, the mental health consequences of the COVID-19 pandemic are discussed. Chapter 1 discusses what inspired me to write this thesis and follows with a discussion of social isolation during the COVID-19 pandemic. Chapter 2 takes a step back and discusses biological effects of social isolation in general. Chapter 3 discusses the psychological effects of social isolation. Finally, this thesis concludes with a discussion of what can be done to help those experiencing social isolation during the pandemic.

The ASU BioDesign Clinical Testing Laboratory (ABCTL) was created to offer an accurate, less invasive, less labor intensive, and less resource draining public COVID-19 testing location in Arizona. The goal of this thesis project was to document the intra-organizational communication channels related to changing testing practices as the ABCTL evolved. This was done through a review of internal and external media, pressers, and an interview with Joshua LaBaer. By documenting internal communication channels, specifically those related to changes in testing, similar communication channels and results could be replicable in the future if an outside organization wished to transform an academic research lab into a viral testing facility.

On March 11th, COVID-19 was declared a pandemic by the World Health Organization. The ensuing months saw an extensive allocation of resources toward combating the virus and the development of a vaccine. Despite extensive research on SARS-CoV-2, there remains little information regarding the implications of SARS-CoV-2 gastrointestinal shedding on COVID-19 disease. It is hypothesized that SARS-CoV-2 RNA is shed in the stool for up to several weeks and that viral protein persists in the GI tract. This study also explored calprotectin and zonulin levels, markers of inflammation, and intestinal permeability, respectively, to assess if increased viral shedding is associated with elevated levels of either. This study utilized RT-qPCR assays to confirm the presence of viral RNA. Subsequently, RT-qPCR positive samples were heat-inactivated and SARS-CoV-2 spike detection enzyme-linked immunosorbent assay (ELISA) was used to ascertain viral protein shedding. Additional ELISA was performed to assess zonulin and calprotectin levels. Results indicated that 30 of the 758 unique samples were confirmed SARS-CoV-2 positive by RT-qPCR. Spike protein was ultimately not detected by ELISA. Additionally, no significant increase in zonulin was observed in patient samples when comparing RT-qPCR positive and negative Samples. A notable upwards trend approaching significance in calprotectin levels existed for patients who tested positive for SARS-CoV-2 by RT-qPCR, though, it was found that no correlation existed between SARS-CoV-2 copy number and calprotectin levels. Understanding the interaction between SARS-CoV-2 and the GI tract may therefore have significant clinical implications and this study demonstrates the need for additional studies to garner a more comprehensive understanding.

As 2020 unfolded, a new headline began taking over front pages: “COVID-19”. In the months that followed, waves of fear, sorrow, isolation, and grief gripped the population in the viruses’ wake. We have all heard it, we have all felt it, indeed because we were all there. Trailing a few months behind those initial headlines, more followed that only served to breed misinformation and ludicrous theories. Even with study after study, quality, scientific data about this new virus could not come fast enough. There was somehow both too much information and also not enough. We were scrambling to process the abundance of raw numbers into some semblance of an explanation. After those first few months of the pandemic, patterns in the research are beginning to emerge. These horrific patterns tell much more than just the pathology of COVID-19. As the number of sick, surviving, and deceased patients began to accumulate, it became clear that some populations were left devastated, while others seemed unscathed. The reasons for these patterns were present long before the COVID-19 Pandemic. Disparities in health care were highlighted by the pandemic – not caused by it. The roots of these disparities lie in the five Social Determinants of Health (SDOH): (1) economic stability, (2) neighborhood and built environment, (3) education, (4) social and community context, and (5) health and health care. Minority populations, namely Black Americans, Hispanic Americans, Native Americans, and Pacific Islanders consistently have higher diagnosis rates and poorer patient outcomes compared to their White American and Asian American counterparts. This is partly because minority populations tend to have jobs that pay lower, increase exposure risk, and provide little healthcare. When unemployment increased in the wake of the pandemic, minorities were the first to lose their jobs and their health insurance. In addition, these populations tend to live in densely populated neighborhoods, where social isolation is harder. Higher poverty rates encourage work DISPROPORTIONATE EFFECTS OF COVID-19 ON MINORITY POPULATIONS 3 rather than education, often perpetuating the cycle. The recent racial history and current aggressions towards minority people might produce a social attitude against healthcare Health care itself can be expensive, hard to find, and/or tied to employment, leading to poorly controlled comorbidities, which exacerbate poor patient outcomes in the case of COVID-19 infection. The healthcare delivery system plays little part in the SDOH, instead, public policy must be called to reform in order to fix these issues.

Bridging social capital describes the diffusion of information across networks built between individuals of different social identities. This project aims to understand if the bridging ties of economic connectedness (EC), measured by data from Facebook friends and calculated as the average share of high socioeconomic status friends that an individual from a low socioeconomic status has, can be a predictor of variations in COVID-19 infection risk across Arizona ZIP code tabulation areas (ZCTAs). Economic connectedness values across Arizona ZCTAs was examined in addition to the correlation of EC to various social and demographic factors such as age, sex, race and ethnicity, educational background, income, and health insurance coverage. A multiple linear regression model was conducted to examine the association of EC to biweekly COVID-19 growth rate from October 2020 to November 2021, and to examine the longitudinal trends in the association between these two factors. The study found that the bridging ties of economic connectedness has a significant effect size comparable to that of other demographic features, and has implications in being used to identify vulnerabilities and health disparities in communities during the pandemic.