Digital Commons Network^™

Turning Analysis Into Action: Opportunities And Challenges In Implementing Wastewater Science For Public Health Decision-Making, Anna Gitter, Valeria Ruvalcaba, Katelyn Clark, Theresa Tran Carapucci, Fuqing Wu, Blake M Hanson, Jennifer Deegan, John Balliew, Eric Boerwinkle, Anthony W Maresso, Kristina D Mena

Faculty, Staff and Students Publications

In the 5 years since the emergence of the COVID-19 pandemic, the field of wastewater-based epidemiology (WBE) has dramatically expanded with programs implemented across the globe to monitor for SARS-CoV-2 and other viruses of public health concern. However, the best way to use wastewater surveillance data and inform local communities of the utility of wastewater science remains limited and sporadically discussed. Specifically, there is vague guidance regarding interpreting varying levels of viral loads in wastewater for public health significance. While collaborative efforts are key to implementing these community-specific wastewater surveillance programs, effectively using the data for public health decision-making still …

Shifting To A Culture Of Inclusion By Design: Applying A Mixed-Methods Approach To Advance Accessibility Of Public Health Emergency Information & Communication Technology, Jessica L. Franks, Erin Vinoski Thomas

Developmental Disabilities Network Journal

Adults with intellectual and developmental disabilities (IDD) experience inequities in access to timely, accurate, and understandable information and communication technology (ICT), which increases risk for public health emergency (PHE)-related health disparities and impedes opportunities to achieve optimal health. This study assessed federal COVID-19 webpage accessibility levels and explored existing knowledge of and experience with filing accessibility complaints for federal ICT among adults with IDD. Through a mixed-methods approach, we evaluated compliance with accessibility standards for 18 federal agencies’ COVID-19 webpages (study 1) and interviewed 16 adults with IDD about experiences accessing federal webpages and filing accessibility complaints (study 2). We …

Sars-Cov-2 Induced Immune Perturbations In Infants Vary With Disease Severity And Differ From Adults' Responses., Djamel Nehar-Belaid, Asunción Mejías, Zhaohui Xu, Radu Marches, Rushil Yerrabelli, Guo Chen, Sara Mertz, Fang Ye, Pablo J Sánchez, John S Tsang, Teresa Aydillo, Lisa Miorin, Anastasija Cupic, Adolfo García-Sastre, Duygu Ucar, Jacques Banchereau, Virginia Pascual, Octavio Ramilo

Faculty Research 2025

Differences in immune profiles of children and adults with COVID-19 have been previously described. However, no systematic studies have been reported from infants hospitalized with severe disease. We applied a multidimensional approach to decipher the immune responses of SARS-CoV-2 infected infants (n = 26; 10 subacute, 11 moderate and 5 severe disease; median age = 1.6 months) and matched controls (n = 14; median age = 2 months). Single cell (scRNA-seq) profiling of PBMCs revealed substantial alterations in cell composition in SARS-CoV-2 infected infants; with most cell-types switching to an interferon-stimulated gene (ISG^hi) state including: (i) …

A Virtual Wellness Program To Enhance Well-Being For Pediatric Oncology Staff During The Covid-19 Pandemic, Karen Moody, Maria Swartz, Zachary Gresham, Martha Askins, Laura Cahalan, Pavilia Francis, Christine Geistkemper, Amy Heaton, Ruitao Lin, Melissa Melo, Alakh Rajan, Madeline Smith, Priti Tewari, Keyana R. Williams, Cheng-Han Yang, Rhonda Robert

Advances in Cancer Education and Quality Improvement

In response to the COVID-19 global health crisis and mandated social isolation, Pediatric leadership at MD Anderson Children’s Cancer Hospital was concerned for the psychological impact on its workforce and encouraged wellness programming. A grassroots wellness taskforce was assembled for the Division of Pediatrics. The task force’s primary mission was to promote the well-being of clinicians and non-clinical staff members through a broadly accessible, sustainable, and effective virtual wellness program. Guided by the Stanford Model for Professional Fulfillment, a virtual program entitled, “Weekly Wellness Webex” for Pediatrics staff was launched. Weekly Wellness Webex is a 1-hour live-streamed program with varied …

Parental Vaccine Hesitancy And The Decision To Vaccinate Children Against Covid-19, Jessica Mckee

Walden Dissertations and Doctoral Studies

While there is a significant body of literature regarding vaccine hesitancy, there is a gap in the literature on its impact to parents’ decisions to vaccinate their children against a pandemic pathogen. The purpose of this study was to examine the relationship between parental vaccine hesitancy, measured using the health belief model (HBM) theoretical framework constructs of the Vaccine Hesitancy Scale (VHS; the degree to which an individual trusts in vaccine efficacy, safety, the reliability and trustworthiness of vaccine programs, community impact, perceived risks, and the importance of childhood vaccinations), and parents’ decision to vaccinate their children against COVID-19 with …

Doctor Of Physical Therapy Student Performance On The National Physical Therapy Examination And Qualitative Feedback Of Dpt Program Administrators About The Covid-19 Pandemic In The Appalachian Region, Timothy Logan Yost

Ed.D. Dissertations

In this qualitative case study, I aimed to discern the presence of a downward trend in the National Physical Therapy Examination (NPTE) during the COVID-19 pandemic and receive valuable qualitative feedback from Doctor of Physical Therapy program administrators concerning the effects of COVID-19. I first reviewed the available literature, followed by an examination of first-time scores via publicly available data from the Federation of State Board of Physical Therapy (FSBPT). This was followed by the development of a qualitative research methodology, which included a targeted qualitative questionnaire with Doctor of Physical Therapy program administrators within the Appalachian region to gain …

Assessing The Impact Of The Covid-19 Pandemic On Health Literacy In Patients Presenting To A Student-Run Free Clinic, Sabah Iqbal, Kirsten Carlberg, Krisha S. Patel, Ashlyn Mcclelland, Sarah Marotta, Rebecca Moore

Rowan-Virtua Research Day

Background

Health literacy as defined by the Center for Disease Control and Prevention (CDC), refers to an individual’s ability to find, understand, and use health information and services1. This definition has evolved with the onset of the COVID-19 pandemic and increasing emphasis on preventative healthcare. We aimed to observe the impact of the pandemic on the health literacy of patients in a free community clinic run by medical students.

Hypothesis

This study aims to assess the effect of various demographic and socioeconomic factors and the COVID-19 pandemic on health literacy levels estimated by the NVS assessment in the patient population …

Motivations And Goals For Combatting Covid-19 Misinformation In Clinical Setting: A Case Study Of Nursing Students., Amarachi H. Okoronkwo

All Theses

The misinformation surrounding COVID-19 disrupted public health efforts to mitigate the virus. This study examined the motivations and goals of nursing students to combat COVID-19 misinformation within clinical settings. Medical professionals are best suited to combat health misinformation due to their expertise and lived experience, but they are not mandated but encouraged to address COVID-19 misinformation. Grounded in qualitative research methods and grounded theory, semi-structured interviews were conducted with nursing students who have had clinical practice after the start of the COVID-19 pandemic. Findings reveal that the key motivations and goals for addressing misinformation include the need to educate patients, …

Administrative Law And The Pandemic, Gillian E. Metzger

Faculty Scholarship

American administrative law’s relationship to change is, as they say, compli­cated. On the one hand, continual evolution has been an endemic feature of American administrative law. Doctrines such as Chevron deference to agency statutory interpretations were born, grew, and declined in just the period from the 1980s to today. On the other, the United States (US) Supreme Court regularly rejects such common law development in administrative law as illegitimate and insists that federal judges must adhere to the original terms of the 1946 Administrative Procedure Act (APA) and other statutes, unless the Constitution requires otherwise. And to this day scholars …

Working To Death: Labor Law In The 100 Year Life, Kate Andrias

Faculty Scholarship

Without significant changes in labor law, the 100-year life will almost certainly be defined by deep inequities. Working-class people, and workers of color in particular, are least likely to enjoy extended life spans. And if they do live longer, they are unlikely to enjoy a leisurely retirement in which they decide how they spend their extra years. Instead, they will face more toil and precarity. This chapter imagines a different future. It asks: What would the 100-year life look like if working people had a greater hand in shaping it? What would a legal regime look like that gave working …

Emotion Analysis And Topic Modelling Of Supply Chain Discussion During The Covid-19 Pandemic, Suhong Li, Fang Chen, Thomas Ngniatedema

American Business Review

This study aims to investigate the supply chain discussion during the COVID-19 pandemic using the supply chain tweets collected between March 2020 and May 2022 globally. The findings reveal an evolving sentiment trajectory: while the users’ sentiment remained neutral in 2020 and 2021, a negative sentiment surged starting in January 2022. Moreover, an emotion analysis indicates a mix of sadness and optimism among Twitter users, with anger gradually intensifying from June 2021 onward. Furthermore, topic modeling reveals distinct themes discussed each year. In 2020, major topics centered around the government’s response to COVID-19, food and medical supply chain crises. By …

The Switch: Determinants Of Family School Modality Choices During The Covid-19 Pandemic, Steicy Dorfi Lopez

Economics Undergraduate Honors Theses

The K-12 system in the United States experienced substantial challenges during the COVID-19 pandemic. This study aims to give an overview of public, private, and homeschooling enrollment decisions during the pandemic, the changes families made between types of schooling and identify familial characteristics associated with the probability of switching in and out of public education. Knowing more about the groups exiting and returning to the public school system can help public school districts better tailor policies to attract and retain their students. Socioeconomic factors influencing a change could be signs of increasing segregation. Using a discrete choice duration model, a …

Challenges The Sporting Industry Faced During Covid-19 On Fan Attendance: The Case Of The National Basketball Association, Marlon Long

Electronic Theses, Projects, and Dissertations

This culminating experience project investigates the challenges the sporting industry faced during the COVID-19 pandemic, with a focused look at the National Basketball Association. The research questions are: (Q1) How did the NBA arena shutdowns impact fan attendance for each team during the COVID-19 pandemic? (Q2) What factors influenced NBA arena attendance before the COVID-19 shutdowns? (Q3) What factors influenced NBA arena attendance after the COVID-19 shutdown? The data collected includes all 30 NBA teams from 2019 through the 2024 seasons. The research questions were analyzed using multilinear regression analysis and comparison of attendance data over 6 seasons including the …

Leadership Post Covid-19: Exploring The Lived Experiences Of Public-School Administrators And Support Through Professional Development, Teresa Marie Burr

Electronic Theses, Projects, and Dissertations

This qualitative study aimed to gather knowledge from the lived experiences of public school administrators before, during, and after the COVID-19 pandemic. Questions focused on the support and training received, experiences at school sites and online, and the lessons learned during this time. The literature review focused on issues that school administrators dealt with during this time. Challenges were varied, and solutions and information provided from the review indicated the need for communication, support, and planning. The theoretical framework was Activity Theory and Cultural Historical Activity Theory, which focused on the premise that an activity may be shared and taken …

Contagions Of Doubt: Denialism And The Spread Of Medical Conspiracy Theories, Haley Boom

Anthropology

Denialism and conspiratorial thinking have long shaped public perceptions of science and medicine, but the COVID-19 pandemic exposed how rapidly these forces can evolve and spread in a digital age. This thesis examines the historical roots, psychological foundations, and modern amplification of medical conspiracy theories, with a particular focus on vaccine skepticism and COVID-19-related misinformation. As a literature review, it synthesizes existing interdisciplinary research from psychology, public health, and communication studies to explore how medical conspiracy beliefs emerge from complex interactions between cognitive biases, emotional needs, mistrust in institutions, and evolving media environments. The rise of social media, political polarization, …

Sensitivity Of Lung Point-Of-Care Ultrasound (Pocus) To Predict Oxygen Requirements In Emerging Viral Infections, Daniel L Theodoro, Di Coneybeare, Penelope Lema, Nicholas Renz, Laura Wallace, Enyo Ablordeppey, Sean Stickles, Alek Rosenthal, Ian Holley, Sirivalli Chamarti, Josie Acuña, James Patterson, Rachel Ancona, Srikar Adhikari

2020-Current year OA Pubs

OBJECTIVES: The prognostic characteristics of lung point-of-care ultrasound (L-POCUS) to predict respiratory decompensation in patients with emerging infections remains unstudied. Our objective was to examine whether scored lung ultrasounds predict hypoxia among a nonhypoxic, ambulatory population of patients with COVID-19.

METHODS: This was a diagnostic case-control study. Three academic emergency departments across the United States collected a convenience sample of nonhypoxic subjects with COVID-19, scored subjects' hemithorax at 7 locations using lung ultrasound, and followed outcomes for 40 days. We defined cases as hypoxia (≤91% by pulse oxygenation) from 2 hours after index presentation to day 40. Follow-up was by …

From Unrealistic To Functional Optimism In Illness Perception: A Psychometric Comparison Across 10 Countries, Elisa Kern De Castro, Oscar Lecuona, Maria João Figueiras, Cristina Quiñones, Kamlesh Singh, Shoshana Shiloh, Michaela Schippers, Ana Kinkead, Raquel Rodríguez-Carvajal

All Works

People's perceptions of illness and its risks influence health behaviors, including risk management and precautionary measures. Illness perception often involves unrealistic optimism, reducing infection risk perception. However, crises disrupt self-regulation and optimism due to uncontrollable situations. This study examines optimism's link to risk and illness perception during the first COVID-19 wave in 10 countries, with 7254 participants (48.1% women, mean age = 40, SD = 14.8). We used Bayesian structural equation modeling for psychometric stability and one-way ANOVAs for country comparisons. Multiple regression analyses examined the impact of optimism and demographic variables on illness perception. Significant cross-country variations emerged in …

Next Time, There Will Be No Next Time: The Short Vs. Long Term Policy Debate For Catastrophe, Analyzed Through Major Events In The United States Of America During 2020, Lauren K. Barlow

Politics Honors Papers

What accounts for citizens’ policy preferences between short-term payoff and long-term investment policies? How are these beliefs impacted by the personal construction of time horizons in relation to “end of times” experiences or disasters? In this research study, I will investigate whether the year 2020 shifted certain demographic groups either towards or away from supporting long-term investment policies in the three aforementioned areas. I compare the preferences of sample groups of Americans before, during, and after 2020, to determine whether the endurance of this time period shifted individuals towards a “Never again” or a “Not Now” mentality, and what the …

Incalculable Harm: Analyzing The Impact Of The Covid-19 Pandemic On Immigration Detention In Canada, Efrat Arbel, Molly Joeck

All Faculty Publications

This paper reflects on the impact of the COVID-19 pandemic on immigration detention in Canada. Drawing on research spanning 2020 to 2022, we analyze how the pandemic impacted rates of detention, conditions of detention, and other related issues. Data released by the Canada Border Services Agency shows that despite an initial decrease in absolute numbers, Canada detained people at a higher rate after the onset of the pandemic than it did prior. Canada also held people for longer periods of time and relied more heavily on jails than dedicated Immigration Holding Centres. Conditions of confinement deteriorated significantly across all detention …

Determining The Mental Health Climate Of The Ministers Of Christian Churches In Metro Vancouver After The Reopening Of The Churches Since Covid-19 Closure, Lap Cho Chan

Doctoral Dissertations and Projects

The burnout of ministers is real. Ministers are human, just like everyone else in the world. Too many people (such as church officials and leaders) underestimate the adverse effects of burned-out ministers in their churches. The pandemic had a huge impact on all the churches in Metro Vancouver, Canada. Ministers experienced exceptionally high stress and anxiety after the reopening of churches after the COVID-19 closure. Thus, the purpose of this DMIN action research project is to use the Maslach Burnout Inventory (MBI), surveys, questionnaires, and interviews to research, qualify, and quantify the mental health climate of ministers in Metro Vancouver. …

Numerical Analysis Of The Seir Model, Abigail R. Beckelhimer

Departmental Honors & Graduate Capstone Projects

Epidemiological models delineate the spread of diseases within a population. In this research project, the Susceptible-Exposed-Infected-Recovered (SEIR) Model was examined numerically for comparison between several methods. Approximations were obtained through Euler’s Method, Taylor’s Method, Runge-Kutta Methods, and Multi-step Methods. Hypothetical situations with parameter alterations were considered in order to better understand the effects the parameters have on the model. The goal of this project was to portray the usefulness of numerical approximations for predicting the behavior of the SEIR model and thus the course of a pandemic.

Distinguishing Multisystem Inflammatory Syndrome In Children From Typhus Using Artificial Intelligence: Mis-C Versus Endemic Typhus (Ai-Met), Angela Chun, Abraham Bautista-Castillo, Isabella Osuna, Kristiana Nasto, Flor M Munoz, Gordon E Schutze, Sridevi Devaraj, Eyal Muscal, Marietta M De Guzman, Kristen Sexson Tejtel, Tiphanie P Vogel, Ioannis A Kakadiaris

Faculty, Staff and Students Publications

Background: The pandemic emergent disease multisystem inflammatory syndrome in children (MIS-C) following coronavirus disease-19 infection can mimic endemic typhus. We aimed to use artificial intelligence (AI) to develop a clinical decision support system that accurately distinguishes MIS-C versus endemic typhus (MET).

Methods: Demographic, clinical, and laboratory features rapidly available following presentation were extracted for 133 patients with MIS-C and 87 patients hospitalized due to typhus. An attention module assigned importance to inputs used to create the 2-phase AI-MET. Phase 1 uses 17 features to arrive at a classification manually (MET-17). If the confidence level is not surpassed, 13 additional features …

Health Crisis And Currency Risk: Fresh Evidence From New Data Sets, Afees A. Salisu, Dinci J. Penzin, Yinka S. Hammed

Bulletin of Monetary Economics and Banking

With the aid of a method of predictability analysis that involves a feasible quasigeneralized least squares estimator, we examine the predictive power associated with the newly computed COVID-19 indices, which are disaggregated into six indices for currency market risks (realized volatility of exchange rate). Our sample size covers the period between December 31, 2019, and December 28, 2021. We note mixed outcomes for the major currency markets considered. On average, while the health crisis seems to have heightened the risks associated with Pounds Sterling, Australian Dollar and Canadian Dollar against USD, it exerts a moderating effect on the Euro, Yen …

The Emotions Of Uncertainty: Science, Politics, And The Social Dynamics Of Decision Making, Alisa N. Rogers

Sociology ETDs

This dissertation examines how social and emotional factors influence attitudes toward science and decision making regarding science-based policy recommendations during the COVID-19 pandemic. I examine boundary work practices among the public as they evaluate experts during the pandemic and the social sources of information people used to construct knowledge. Then I examine the social and emotional factors that participants indicated influenced their own attitude formation and decisions to act regarding public health recommendations during the pandemic. I find that emotions influence each element of the decision process: information gathering, information evaluation, attitude formation, and decisions to act. Affective commitment and …

Ai Diagnostic Tool For Covid-19 Severity, Hunter Lau, Ryan Lang, Aidan Furuhashi

Bioengineering Senior Theses

With the advent of COVID-19 pandemic global, healthcare systems were challenged with resource constraints plaguing hospital environments around the world with consequences that presented weaknesses in our healthcare system. This demonstrated the importance of triage in unprecedented scenarios. This project presents an integrated AI-driven diagnostic tool to predict the severity of COVID-19 cases using length of stay as an analog. By using clinical data and radiographic chest images, this project integrates a XGBoost clinical data model with a Convolutional Neural Network (CNN) model utilizing chest CT images to create a comprehensive assessment of patient case severity through predicted length of …

Tutoring And Its Impact On Mitigating Covid-19 Reading Learning Loss In A Rural Title I School District For 3rd Grade Students, Julie Nicole Goodin

Student Theses and Dissertations

This mixed-methods study evaluated the impact of a tutoring program on third-grade students' reading achievement, focusing on rural Title I schools. The research used the Kellogg Logic Model to assess the program's short-term outcomes. It analyzed universal reading data for one hundred and three third-grade students and gathered the perspectives from nineteen stakeholders, including teachers, parents, and administrators. The researcher assessed the long-term outcomes by analyzing data on third-grade students' overall academic reading growth and by examining the stakeholders' perceptions of the program's effectiveness. The themes for the study from the participants included the benefits of tutoring, bus transportation, use …

"When The Bills Keep On Coming:" The Experiences Of Seafood Processors During The Covid-19 Pandemic, Shannon Guillot-Wright, Laura Porterfield, Brenda Wilson, Lacy Davis

Faculty, Staff and Student Publications

Essential workers were at increased risk during the COVID-19 pandemic, including seafood processors who are often rendered invisible within the public sphere. To examine the health and safety concerns of seafood processors, many who are low income or im/migrant workers on H-2B visas, our team conducted qualitative research with 44 participants. We found that in addition to high occupational health hazards that existed before the pandemic, COVID-19 increased workers' financial risks, which put them in more dangerous health and safety positions, since they needed to work through physical and mental health illness. These financial risks can be seen through the …

Examining The Impact Of Feature Selection Techniques On Machine And Deep Learning Models For The Prediction Of Covid 19, Hafiza Zoya Mojahid, Jasni Mohamad Zain, Marina Yusoff, Abdul Basit, Abdul Kadir Jumaat, Mushtaq Ali

Malaysian Journal of Computing (MJoC)

Feature selection is a vital preprocessing step for identifying the most informative features in complex datasets, enhancing the efficiency and accuracy of machine learning models. Its applications extend across various domains, including big data analytics, finance, chemometrics, medical diagnostics, biological research, intrusion detection systems, and renewable energy solutions. In medical contexts, feature selection serves a dual purpose: it reduces dimensionality while simultaneously improving the comprehension of disease etiology. This study delves into key variable selection methods—specifically Recursive Feature Elimination (RFE), Principal Component Analysis (PCA) and Least Absolute Shrinkage and Selection Operator (LASSO). We evaluate the interaction of these methods with …

Dynamic Gene Attention Focus (Dygaf): Enhancing Biomarker Identification Through Dual-Model Attention Networks, Md Khairul Islam, Himanshu Wagh, Hairong Wei

Michigan Tech Publications

The DyGAF model, which stands for Dynamic Gene Attention Focus, is specifically designed and tailored to address the challenges in biomarker detection, progression reporting of pathogen infection, and disease diagnostics. The DyGAF model introduced a novel dual-model attention-based mechanism within neural networks, combined with machine learning algorithms to enhance the process of biomarker identification. The model transcended traditional diagnostic approaches by meticulously analyzing gene expression data. DyGAF not only identified but also ranked genes based on their significance, revealing a comprehensive list of the top genes essential for disease detection and prognosis. In addition, KEGG pathways, Wiki Pathways, and Gene …

The Impact Of Covid-19 On The United States Higher Education System, Phoenix Daniel Van Wormer

University Honors Theses

In the spring of 2020, colleges across the United States rapidly transitioned to online/remote learning during the COVID-19 global pandemic. Since then, online and remote learning have evolved into an integral component of higher education. This thesis examines the extent to which COVID-19-mandated remote and online learning impacted students pursuing higher education in the United States. By utilizing research that compares academic structures before and after the pandemic, I demonstrate how the shift to online and remote learning has changed teaching and learning methods. I also evaluate the impact of these changes on student performance and engagement, with particular focus …