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.

On January 5, 2020, the World Health Organization (WHO) reported on the outbreak of pneumonia of unknown cause in Wuhan, China. Two weeks later, a 35-year-old Washington resident checked into a local urgent care clinic with a 4-day cough and fever. Laboratory testing would confirm this individual as the first case of the novel coronavirus in the U.S., and on January 20, 2020, the Center for Disease Control (CDC) reported this case to the public. In the days and weeks to follow, Twitter, a social media platform with 450 million active monthly users as of 2020, provided many American residents the opportunity to share their thoughts on the developing pandemic online. Social media sites like Twitter are a prominent source of discourse surrounding contemporary political issues, allowing for direct communication between users in real-time. As more population centers around the world gain access to the internet, most democratic discussion, both nationally and internationally, will take place in online spaces. The activity of elected officials as private citizens in these online spaces is often overlooked. I find the ability of publics—which philosopher John Dewey defines as groups of people with shared needs—to communicate effectively and monitor the interests of political elites online to be lacking. To best align the interests of officials and citizens, and achieve transparency between publics and elected officials, we need an efficient way to measure and record these interests. Through this thesis, I found that natural language processing methods like sentiment analyses can provide an effective means of gauging the attitudes of politicians towards contemporary issues.

The purpose of this study is to investigate the role of health misinformation and the lack of credible health information as determinants of health disparities affecting the Hispanic population in the United States during public health emergencies. Using the COVID-19 pandemic as a quintessential and relevant exhibit of a public health emergency, a review of literature was conducted to identify the interactions between the accessibility of health misinformation and credible health information in exacerbating pre-existing socio-economic barriers that affect the Hispanic population. The findings of this study were then analyzed to develop solutions for future public health emergencies to ensure that vulnerable communities are provided equally accurate and accessible health information as non-vulnerable communities in order to promote a more effective nationwide public health response. These solutions include providing more educational resources to help vulnerable communities find accurate information online and increasing surveillance of misinformation sources online, especially in the Spanish language.

Survivors of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) often experience chronic symptoms that include fatigue, shortness of breath, and brain fog. The collection of ongoing post-COVID-19 symptoms have been classified as Post-Acute Sequela of SARS-CoV-2 (PASC). Older adult patients are especially susceptible to experiencing PASC related complications and have a high risk for long-term cognitive impairment symptoms. Definitions for categorizing PASC- associated cognitive impairment and neuropsychological assessments used to evaluate cognitive impairment are inconsistent between studies examining older adults. This systematic review aims to identify which neuropsychological tests best identify cognitive impairments associated with PASC and suggest a guide to standardize the measurement of PASC-related cognitive impairments. Through a literature search using PubMed, we included within this review 14 studies that fulfilled our inclusion and exclusion criteria evaluating middle-aged and older adult populations affected by PASC-associated cognitive impairments. The majority of the studies used tests designed to screen for general cognitive function to test for the prevalence of cognitive impairment, with the most common one being Montreal Cognitive Assessment (MoCA), followed by MMSE and TICS. MoCA reported the highest prevalence of the general cognitive screeners which suggests higher sensitivity and specificity. Telephone Interview for Cognitive Status (TICS) demonstrated similar scores as MoCA despite administration being remote while MMSE identified the lowest prevalence. Four studies also used domain-specific cognitive evaluations and reported instances of cognitive impairment in individuals who had previously tested healthy. Furthermore, the results gathered in this review were stratified based on disease symptom severity. This review identifies MoCA to be better suited for evaluating general cognitive impairment in older adults. TICS has the added utility in being able to access a wider range of older adults through remote screening. Disease severity must be clearly defined to allow better comparisons between studies and allow for standardization. Early identification of PASC-associated cognitive impairment in middle-aged and older adults can be performed using general cognitive function evaluations and administering a baseline cognitive evaluation one month after infection is suggested.

The climate conversation is growing more important and necessary than ever. The media has a way of promoting a "doom and gloom" sentiment over conservation efforts and what the public has the power to do in terms of making a change. Now due to the effects of COVID-19 on the population's attention spans and memories, there is a need for a way to communicate climate science effectively and to encourage those who feel discouraged by climate change to find their inner power. The answer lies in photography. Making science accessible and intriguing through the art of photography is what can get people more interested and empowered to fight against climate change and alter their attitudes towards environmentalism. This thesis explains psychological research and the reasons why people feel helpless in terms of our global future. In then dives into human subjects research conducted on ASU's campus and how the survey results argue in favor of the paper's hypothesis. Additionally, ways to get involved and reasons why we need to remain hopeful are discussed.

With recent reports indicating that there is a relatively low number of pregnant people vaccinated against COVID-19 in the United States (~30% per the Centers for Disease Control and Prevention, October, 2021), this study aims to understand the reasons for COVID-19 vaccine hesitancy among the pregnant population in the state of Arizona. Using a mixed-methods approach, this cross-sectional study employs both semi-structured qualitative interviews (n = 40) and a quantitative survey instrument (n = 400) to better understand the reasons for COVID-19 vaccine hesitancy among pregnant people, with data collected over the course of a few months. Descriptive statistics and logistic regression are employed to analyze the quantitative data and the semi-structured interviews are inductively coded to analyze themes across participant interviews. The results from this study are not only able to help better address disparities in COVID-19 vaccinations among pregnant people, but they also provide implications for vaccine hesitancy overall in order to develop interventions to address vaccine hesitancy. Future research is warranted to better understand regional differences in vaccine hesitancy and differences across populations.