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.

SARS-CoV-2 (severe acute respiratory syndrome coronavirus 2) is an enveloped single-stranded positive-sense RNA virus that originated in China and has rapidly spread worldwide. With the Delta variant arriving before many K-12 schools in Arizona resumed in-person learning for the 2021-2022 academic year, a plethora of mitigation measures were utilized by schools. Public schools in both Maricopa and Pima county without mask mandates were found to be 3.5 times more likely to have COVID-19 outbreaks in comparison to those with mask requirements at the start of the school year. In addition, when analyzing the presence of three other mitigation measures (cohorting, random testing, and use of improved air filtration), only 5.42% were found to use all four mitigation measures.