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.

Actuaries can analyze healthcare trends to determine if rates are reasonable and if reserves are adequate. In this talk, we will provide a framework of methods to analyze the healthcare trend during the pandemic. COVID-19 may influence future healthcare cost trends in many ways. First, direct COVID-19 costs may increase the amount of total experienced healthcare costs. However, with the implementation of social distancing, the amount of regularly scheduled care may be deferred to a future date. There are also many unknown factors regarding the transmission of the virus. Implementing epidemiology models allows us to predict infections by studying the dynamics of the disease. The correlation between infection amounts and hospitalization occupancies provide a methodology to estimate the amount of deferred and recouped amounts of regularly scheduled healthcare costs. Thus, the combination of the models allows to model the healthcare cost trend impact due to COVID-19.

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.

COVID-19 misinformation covers a wide range of topics such as fatality rate, mask effectiveness, potential cures, vaccine development, and the idea of a "plandemic". The spread of this misinformation happens at a rapid speed with the help of social media and powerful influencers, including major political figures. This thesis is a focused case study on hydroxychloroquine, and builds a timeline of the misinformation surrounding the drug. From poorly conducted studies to the use of false experts, this study reveals how politicized misinformation garners more public attention than the actual science.

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.