This thesis is a retrospective study analyzing data from patient implanted cardiac devices in other to determine the effect of SARS-CoV-2 on cardiac arrhythmias. This study is also the first, to the knowledge of the researchers, in which a cohort of undifferentiated hospitalized and non-hospitalized COVID patients were studied using data from cardiac implanted devices. The results from this study has shown that SARS-CoV-2 leads to statistically significant increases in arrhythmic burden, in particular increased overall arrhythmic episodes, increased VT episodes, increased AT Burden percent, and increased SVT Average Ventricular Rate, and a statistically significant decrease in VT Average Ventricular Rate.

Quantum computing is an emerging and promising alternative to classical computing due to its ability to perform rapidly complex computations in a parallel manner. In this thesis, we aim to design an audio classification algorithm using a hybrid quantum-classical neural network. The thesis concentrated on healthcare applications and focused specifically on COVID-19 cough sound classification. All machine learning algorithms developed or implemented in this study were trained using features from Log Mel Spectrograms of healthy and COVID-19 coughing audio. Results are first presented from a study in which an ensemble of a VGG13, CRNN, GCNN, and GCRNN are utilized to classify audio using classical computing. Then, improved results attained using an optimized VGG13 neural network are presented. Finally, our quantum-classical hybrid neural network is designed and assessed in terms of accuracy and number of quantum layers and qubits. Comparisons are made to classical recurrent and convolutional neural networks.

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.

The COVID-19 pandemic has had a tremendous impact on people’s lives and it has reemphasized health inequities in the United States. Historically, minority communities have faced barriers to accessing health care and demonstrated hesitancies to getting vaccinated for various diseases. This has led to disparities in terms of how different diseases affect different communities. This same pattern has been seen regarding how COVID-19 has affected different ethnicities in the U.S. Statistics have shown vaccination disparities for COVID-19 among different ethnicities and organizations in the U.S. have employed different strategies to address this health inequity. This thesis analyzes the hesitancies and barriers to getting vaccinated for COVID-19, specifically among African Americans and Hispanics. Additionally, this thesis looks at the strategies that have been used to address the vaccination inequities that have affected these two ethnicities with a focus specifically on how mass vaccination sites and mobile health clinics try to address the vaccination disparity.

The COVID 19 pandemic has highlighted the necessity of accurately and simply relying scientific discovery and information to the public. Among scientists, the practice is to reduce jargon, engage the audience through storytelling, and include enough detail to give a broad understanding of a narrow topic. Conflict between journalists and scientists leads to a creation of a different narrative for the general public. The news site CNN.com was searched with the google archive function by year for articles that included the keyword vaccine. Articles were sorted into categories of main focus such as political, cultural and scientific or mixed. Results were analyzed and conclusions made about the amount of content in each category for the kind of narrative being written about vaccines, with most years having most articles in the political category. Possible effectiveness of mixed categories were discussed and areas future research identified.

During the year 2020, the world saw unprecedented social change with the beginning of the COVID-19 pandemic, including increased risk of sexual assault. Limited information has been released regarding the pandemic and sexual assault; however, two prior studies reveal decreased utilization of rape kits and fewer emergency department exams for sexual assault during 2020 when compared to values before the pandemic. In Maricopa County, a group of forensic nurse examiners under HonorHealth performed screening exams on patients who reported sexual assault from the years 2015 to 2021. Using the prevalence of screening exams per year in Maricopa County, this study evaluated whether there was significant change in the number of exams performed during 2020 compared to pre-pandemic values. The year 2020 had the greatest percent discrepancy between predicted and observed quantities of exams when compared to the years 2015 to 2019.

This study investigates the relationship between COVID-19 preventive behaviors and health insurance coverage in populations residing in Arizona border towns, a transnational geographical area with limited research focus. The literature highlights the impact of healthcare policies on immigrant communities, suggesting that restricted access to healthcare exacerbates vulnerability to COVID-19. This secondary data analysis study is based on data collected from 2022 to 2023. The data revealed that being uninsured (b = -0.04, p = 0.44) or having public health insurance (b = -0.02, p = 0.72) did not predict stronger masking attitudes. The lack of a significant association between health insurance and preventive behaviors could be explained by the widespread dissemination of knowledge and adherence to established public health guidelines at that point in the pandemic. Additionally, culturally adaptive information and training for healthcare professionals was necessary to address migrants' health needs. Access to health services is crucial for all populations, including immigrants, to improve public health despite the loss of health insurance caused by the end of the COVID-19 public health emergency.