This thesis project is the result of close collaboration with the Arizona State University Biodesign Clinical Testing Laboratory (ABCTL) to document the characteristics of saliva as a test sample, preanalytical considerations, and how the ABCTL utilized saliva testing to develop swift COVID-19 diagnostic tests for the Arizona community. As of April 2021, there have been over 130 million recorded cases of COVID-19 globally, with the United States taking the lead with approximately 31.5 million cases. Developing highly accurate and timely diagnostics has been an important need of our country that the ABCTL has had tremendous success in delivering. Near the start of the pandemic, the ABCTL utilized saliva as a testing sample rather than nasopharyngeal (NP) swabs that were limited in supply, required highly trained medical personnel, and were generally uncomfortable for participants. Results from literature across the globe showed how saliva performed just as well as the NP swabs (the golden standard) while being an easier test to collect and analyze. Going forward, the ABCTL will continue to develop high quality diagnostic tools and adapt to the ever-evolving needs our communities face regarding the COVID-19 pandemic.

The COVID-19 pandemic began in March of 2020 and drastically affected the global human population. Millions of people died due to a SARS-CoV-2 infection while many who survived developed devastating sequelae of the disease. In addition, the closure of schools and businesses led to international economic struggle in the year 2020 as global economies declined. Since the beginning of the pandemic, over 200,000 scientific articles have been published and compiled into a database that grows daily— a rare occurrence within the scientific community. This thesis uses natural language processing tools via Python and VOSviewer software to perform a bibliometric analysis on 205,712 papers published between January of 2020 and February of 2021 pertaining to COVID-19. We first investigate how to analyze these publications most effectively in terms of title versus abstract keyword searches, we further obtain the focus of the current scientific literature via co-occurrence analysis and clustering, and we at last discuss the time evolution of these topics over the course of 14 months.

Following the Global Financial Crisis of 2007-2008, financial institutions faced regulatory changes due to inherent weaknesses that were exposed by the recession. Within the United States, regulation came via the passing of the Dodd-Frank Wall Street Reform and Consumer Protection Act in 2010, which was heavily influenced by the internationally focused Basel III accord. A key component to both of these sets of regulations focused on raising the capital requirements for financial institutions, as well as creating capital buffers to help protect solvency during economic downturns in the future. The goal of this study is to evaluate the effectiveness of these changes to capital requirements, and to hypothesize as to what would happen if the modern banking system experienced the COVID-19 pandemic recession with the capital and leverage levels of the banking institutions circa 2007. To accomplish this, data from the Federal Reserve describing the capital and leverage ratios of the banking industry will be evaluated during both the Global Financial Crisis of 2007-2008, as well as during the COVID-19 Recession. Specifically, we will look at by how much capital was improved due to Dodd-Frank/Basel III, the resiliency of the capital and leverage ratios during the modern COVID-19 recession, and we will look at the average drop in capital levels caused by the COVID-19 recession and apply these percentage changes to the leverage/capital levels seen in 2007. Given the results, it is clear to see that the change in capital requirements along with the counter-cyclical buffers described in Dodd-Frank and Basel III allowed the banking system to function throughout the COVID recession without approaching insolvency in the slightest, something that ailed many large banks and firms during the Global Financial Crisis. As an answer to our hypothetical, we found that the drop seen affecting the measures of bank capital experienced during the COVID pandemic when applied to values seen at the beginning of the 2007 recession still led to a well-capitalized banking industry as a whole, highlighting the resiliency seen during the COVID recession thanks to the capital buffers put in place, as well as the direct assistance provided by the federal government (via PPP loans and stimulus checks) and the Federal Reserve in keeping the hit on capital to minimal values throughout the pandemic.

This paper conducts an exploration of the election policy reaction to the COVID-19 pandemic within the United States. While living through and voting during the real-time events which took place during the COVID-19 Pandemic of 2020, it soon became evident that there was not enough experience from earlier election emergencies to properly ensure against voter disenfranchisement. Given the scope of the global pandemic and the speed with which policymakers had to act, there was very little time to properly prepare. There was also great contention regarding the legitimacy of election methods proposed to alleviate in-person election concerns, such as mail-in voting. The political battle between those who believed COVID-19 to be a grave concern against those who did not consider COVID-19 to be a legitimate threat towards their livelihoods also affected policymaking decisions. Policymakers were forced into a corner, as they experienced criticism for not enough government action, as well as disapproval on the actual regulation that came to pass. This paper therefore aims to understand what factors led to the decisions which shaped the election policy which occurred as a reaction to the COVID-19 pandemic during the election year of 2020. This analysis is conducted by considering the following: prior election emergency policy; the development of reactive election policy in March, proactive policy established for the August and November elections; and a review of voter disenfranchisement which occurred due to COVID-19.

My project focuses on the problems created by the COVID-19 pandemic that impacted the food supply chain in the United States and how they contributed to food insecurity. I identified the three key problems, the shift in demand from the commercial to the retail market, the discarding of raw food and produce, and consumer panic buying. I used the analysis of these problems to then formulate a set of solutions that would work to solve these problems.

The Covid-19 pandemic has made a significant impact on both the stock market and the<br/>global economy. The resulting volatility in stock prices has provided an opportunity to examine<br/>the Efficient Market Hypothesis. This study aims to gain insights into the efficiency of markets<br/>based on stock price performance in the Covid era. Specifically, it investigates the market’s<br/>ability to anticipate significant events during the Covid-19 timeline beginning November 1, 2019<br/><br/>and ending March 31, 2021. To examine the efficiency of markets, our team created a Stay-at-<br/>Home Portfolio, experiencing economic tailwinds from the Covid lockdowns, and a Pandemic<br/><br/>Loser Portfolio, experiencing economic headwinds from the Covid lockdowns. Cumulative<br/>returns of each portfolio are benchmarked to the cumulative returns of the S&P 500. The results<br/>showed that the Efficient Market Hypothesis is likely to be valid, although a definitive<br/>conclusion cannot be made based on the scope of the analysis. There are recommendations for<br/>further research surrounding key events that may be able to draw a more direct conclusion.

The ongoing Global Coronavirus Pandemic has been upheaving social norms for over a<br/>year at this point. For countless people, our lives look very different at this point in time<br/>then they did before the pandemic began. Quarantine, Shelter in Place, Work from<br/>Home, and Online classes have led global populations to become less active leading to<br/>an increase in sedentary lifestyles. The final impact of this consequence is unknown,<br/>but emerging studies have led to concrete evidence of decreased physical and mental<br/>wellbeing, particularly in children. VirusFreeSports was the brainchild of three ASU<br/>Honors students who sought to remedy these devastating consequences by creating<br/>environments where children can participate in sports and exercise safely, free of the<br/>threat COVID-19 or other transmissible illnesses. The ultimate goal for the project team<br/>was to build traction for their idea, which culminated in a video pitch sent to potential<br/>investors. Although largely created as an exercise and we did not create a full<br/>certification course, merely a prototype through a website with sample questions to<br/>gauge interest, the project was a success as a large target market for this product was<br/>identified that showed great promise. Our team believes that early entrance to the<br/>market, as well as the lack of any other competitors would give the team a tremendous<br/>advantage in creating an impactful and influential service.

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.

COVID-19 has drastically impacted the student learning experience this past year. Arizona State University nursing students have had to learn fundamental nursing education, clinical experience, and simulation skills virtually. Research has shown that the educational experience during the COVID-19 pandemic has caused psychological and emotional stress on students adjusting to new university protocols and virtual learning. Two Term 8 nursing students questioned how these changes affected nursing students who are in their final semester of nursing school. The Term 8 nursing cohort was invited to participate in an anonymous online survey to provide feedback about their learning experience and recommendations for program leadership. The qualitative data was analyzed through content analysis to underline themes that portrayed the nursing students’ learning experience. The following themes were illuminated: an overall negative impact on virtual learning experiences, self-developed efforts to promote success, the aversion of using an online learning platform, and the desire for academic accommodation and faculty support during this time. Student recommendations for program leadership include requesting more hands-on experience when possible along with increased faculty lenience and understanding with course workload. Students had the opportunity to participate in a study where feedback is taken seriously and will be supplied to leadership to make changes to the ongoing academic dilemmas during the pandemic.

COVID-19 has drastically impacted the student learning experience this past year. Arizona State University nursing students have had to learn fundamental nursing education, clinical experience, and simulation skills virtually. Research has shown that the educational experience during the COVID-19 pandemic has caused psychological and emotional stress on students adjusting to new university protocols and virtual learning. Two Term 8 nursing students questioned how these changes affected nursing students who are in their final semester of nursing school. The Term 8 nursing cohort was invited to participate in an anonymous online survey to provide feedback about their learning experience and recommendations for program leadership. The qualitative data was analyzed through content analysis to underline themes that portrayed the nursing students’ learning experience. The following themes were illuminated: an overall negative impact on virtual learning experiences, self-developed efforts to promote success, the aversion of using an online learning platform, and the desire for academic accommodation and faculty support during this time. Student recommendations for program leadership include requesting more hands-on experience when possible along with increased faculty lenience and understanding with course workload. Students had the opportunity to participate in a study where feedback is taken seriously and will be supplied to leadership to make changes to the ongoing academic dilemmas during the pandemic.