Dissecting The Binding Affinity Of Anti-Sars-Cov-2 Compounds To Human Transmembrane Protease, Serine 2: A Computational Study, Yue-Hui Shi, Jian-Xin Shen, Yan Tao, Yuan-Ling Xia, Zhi-Bi Zhang, Yun-Xin Fu, Ke-Qin Zhang, Shu-Qun Liu

Faculty, Staff and Student Publications

The human transmembrane protease, serine 2 (TMPRSS2), essential for SARS-CoV-2 entry, is a key antiviral target. Here, we computationally profiled the TMPRSS2-binding affinities of 15 antiviral compounds. Molecular dynamics (MD) simulations for the docked complexes revealed that three compounds exited the substrate-binding cavity (SBC), suggesting noncompetitive inhibition. Of the remaining compounds, five charged ones exhibited reduced binding stability due to competing electrostatic interactions and increased solvent exposure, while seven neutral compounds showed stronger binding affinity driven by van der Waals (vdW) interactions compensating for unfavorable electrostatic effects (including electrostatic interactions and desolvation penalties). Positive and negative hotspot residues were identified …

Resilience And Reality: Exploring The Lived Experiences Of People Living With Hiv In Texas During The Covid-19 Pandemic – A Qualitative Study., Ahmed F. Alanazi

Social Work Dissertations - Archive

This study investigated the lived experiences of individuals living with HIV (PLWH) in the Dallas-Fort Worth (DFW) area of Texas during the COVID-19 pandemic, using an Interpretative Phenomenological Analysis (IPA) framework. The research examined the intersection of health, social dynamics, and psychological resilience among PLWH, who faced compounded vulnerabilities due to systemic inequities and the dual public health crises of HIV and COVID-19. Through semi-structured interviews with ten participants from diverse backgrounds, the study captured the profound impacts of disrupted healthcare systems, heightened stigma, and social isolation on this marginalized population. The findings reveal that the pandemic exacerbated existing inequities …

Changes In Cancer Diagnosis And Survival In The United States During The Covid-19 Pandemic, Justin T. Burus

Theses and Dissertations--Epidemiology and Biostatistics

The COVID-19 Pandemic led to global societal disruptions as political leaders and public health authorities attempted to control the spread of the newly discovered SARS- CoV-2 virus. While these measures were designed to lessen morbidity and mortality from a novel pathogen, their impact was also felt in many other, often unintended ways. The purpose of this dissertation is to use cancer surveillance research methods to examine the association between COVID-19 Pandemic-related disruptions and changes in the normal diagnosis and care of cancer in the United States.

The first two studies of this dissertation analyzed reductions in cancer diagnoses in the …

Molecular Epidemiologic Studies Of Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (Me/Cfs), Anil Kumar

Electronic Theses & Dissertations (2024 - present)

Background: Myalgic encephalomyelitis (ME)/chronic fatigue syndrome (CFS) is a disabling multisystem complex disorder with no known etiology or approved treatment. Our studies aimed to assess the link between ME/CFS and autoimmune disease (AID) and cancer, and to identify potential biomarkers and biological mechanisms to further explore pathophysiology of this diseases.

Methods: All analyses were done using data from a case-control study of ME/CFS conducted by Dr. Roxana Moslehi and her collaborators. In our first study we estimated the cumulative incidences of AID and cancer among first degree relatives of 60 cases and 61 controls and compared cumulative …

Association Of Non-Communicable Diseases With Severe Covid-19 Among People Living With And Without Diagnosed Hiv/Aids In New York State, Ravi Kumar Balu

Electronic Theses & Dissertations (2024 - present)

Background: People living with diagnosed HIV (PLWDH) have a higher chance of co-infections and co-morbidities than the general population. When SARS-CoV-2 was first reported in China in December 2019 and later declared a pandemic, it was speculated that PLWDH might be more prone to SARS-CoV-2 infection and severe disease outcomes given their increased vulnerability to other respiratory infections like influenza, pneumococcal pneumonia and tuberculosis. However, several facets of COVID-19 disease in PLWDH are incompletely understood, including whether non-communicable diseases (NCDs) are strong risk factors for severe disease outcomes and death as they are in the general population.

Methods: The data …

Risk Of Post-Acute Symptoms Among Adults: A Comparison Study Of Severe Covid-19, Pneumonia, And Influenza, Caroline M Schaefer, Trudy Millard Krause, George L Delclos, Raymond S Greenberg

Faculty, Staff and Student Publications

Background: A retrospective cohort study was undertaken to assess the relationship between initial disease severity of COVID-19 and the risk of post-acute symptoms. The COVID-19 cohort was compared against influenza and pneumonia cohorts to assess whether risk of post-acute symptoms differed.

Methods: Administrative health claims data were obtained for commercially insured and Medicare Advantage covered adults (≥ 18 years) with symptomatic laboratory-confirmed COVID-19 diagnosed in 2020 (n=121,205), and similar cohorts of influenza (n=20,844) and pneumonia (n=29,052) patients diagnosed prior to the pandemic. Post-acute symptoms were assessed at four weeks, three and six months following initial diagnosis.

Results: Among the patients …

Modeling Vaccination Strategies And Intervention Impacts On Infectious Disease Dynamics, Elizabeth B. Amona

Theses and Dissertations

This dissertation explores how mathematical and statistical modeling can inform vaccination strategies and evaluate the impact of interventions during infectious disease outbreaks. Motivated by the challenges observed during the COVID-19 pandemic, the research integrates compartmental modeling, Bayesian inference, and agent-based simulation to assess policy effectiveness and disease control across varying contexts. The first study develops a SEIRDV model that incorporates government interventions and vaccination rollout to examine COVID-19 dynamics in Qatar. A Bayesian approach is used to estimate parameters and compute time-varying transmission rates. The model captures shifts in transmission following policy changes and quantifies the reduction in deaths attributable …

An Epidemiological Study Of Finger, Hand, And Wrist Injuries In The Department Of Air Force And Us Workers, Melody Kay Gwilliam

Graduate Theses, Dissertations, and Problem Reports (ETD)

ABSTRACT

An Epidemiological Study of Finger, Hand, and Wrist Injuries in the Department of Air Force and US workers

Melody Gwilliam

Background and Objectives: Fingers, hands, and wrists (FHW) are the leading injured body parts in work-related injuries in the United States (U.S.) and in the U.S. Department of the Air Force (DAF). There has been limited research on risk factors for FHW injuries. Workers across all industries are at risk for these injuries. The objectives of these studies are to 1) describe and compare FHW injuries among enlisted, officer, and civilian U.S. Department of the Air Force (DAF) …

Longitudinal Host Transcriptional Responses To Sars-Cov-2 Infection In Adults With Extremely High Viral Load, Vasanthi Avadhanula, Chad J Creighton, Laura Ferlic-Stark, Divya Nagaraj, Yiqun Zhang, Richard Sucgang, Erin G Nicholson, Anubama Rajan, Vipin Kumar Menon, Harshavardhan Doddapaneni, Donna Marie Muzny, Ginger A Metcalf, Sara Joan Javornik Cregeen, Kristi Louise Hoffman, Richard A Gibbs, Joseph F Petrosino, Pedro A Piedra

Faculty, Staff and Students Publications

Current understanding of viral dynamics of SARS-CoV-2 and host responses driving the pathogenic mechanisms in COVID-19 is rapidly evolving. Here, we conducted a longitudinal study to investigate gene expression patterns during acute SARS-CoV-2 illness. Cases included SARS-CoV-2 infected individuals with extremely high viral loads early in their illness, individuals having low SARS-CoV-2 viral loads early in their infection, and individuals testing negative for SARS-CoV-2. We could identify widespread transcriptional host responses to SARS-CoV-2 infection that were initially most strongly manifested in patients with extremely high initial viral loads, then attenuating within the patient over time as viral loads decreased. Genes …

Bcg-Induced Dna Methylation Changes Improve Coronavirus Disease 2019 Vaccine Immunity Without Decreasing The Risk For Severe Acute Respiratory Syndrome Coronavirus 2 Infection, Santiago Carrero Longlax, Kent J Koster, Ashish M Kamat, Marisa Lozano, Seth P Lerner, Rebecca Hannigan, Tomoki Nishiguchi, Abhimanyu, Daanish Sheikh, Malik Ladki, Alexandra Portillo, Amrit Koirala, Tajhal D Patel, Zoe Spieler, Aaron B Benjamin, Maxim Lebedev, Theresa U Ofili, Robert W Hutchison, George Udeani, Lynne A Opperman, Gabriel Neal, Anna M Mandalakas, Mihai G Netea, Moshe Arditi, Pablo Avalos, Sandra L Grimm, Cristian Coarfa, Jeffrey D Cirillo, Andrew R Dinardo

Faculty, Staff and Students Publications

BACKGROUND: The BCG vaccine induces trained immunity, an epigenetic-mediated increase in innate immune responsiveness. Therefore, this clinical trial evaluated if BCG-induced trained immunity could decrease coronavirus disease 2019 (COVID-19)-related frequency or severity.

METHODS: A double-blind, placebo-controlled clinical trial of healthcare workers randomized participants to vaccination with BCG TICE or placebo (saline). Enrollment included 529 healthcare workers randomized to receive BCG or placebo. Primary analysis evaluated COVID-19 disease frequency, while secondary analysis evaluated coronavirus immunity in a subset of participants. Study enrollment ceased early in December 2020 following introduction of COVID-19-specific vaccines.

RESULTS: Study enrollment was halted early, prior to reaching …

Fda Greenlights Early-Stage Trial For Investigational Long Covid Treatment: Phase Ii Evaluation Pending, Arin Wade, Maria Nguyen, Allie Honigford, Kennedy Kosikowski, Minhwan Yang, Rebecca Willier, Joshua Honaker, Samantha Mccord, Theresa Hempleman

Pharmacy and Wellness Review

Long coronavirus disease (COVID) is a condition that affects millions of individuals worldwide. Long COVID manifests as persistent symptoms following acute COVID-19. These symptoms can include, but are not limited to, fatigue, cognitive dysfunction, and chronic inflammation often lasting for months and significantly impairing patients' quality of life. As the number of Long COVID cases continues to rise and major global health organizations begin to standardize Long COVID’s mechanisms and diagnosis, there is an increasing demand for effective treatments that can address its complex nature. While some therapies, such as metformin and hyperbaric oxygen therapy (HBOT) have shown promise in …

Reflections From The Pandemic: Is Connectivism The Panacea For Clinicians?, Jennifer Benjamin, Tyson Pillow, Heather Macneill, Ken Masters, Anoop Agrawal, Neil Mehta

Faculty, Staff and Students Publications

The COVID-19 pandemic and the recent increased interest in generative artificial intelligence (GenAI) highlight the need for interprofessional communities' collaboration to find solutions to complex problems. A personal narrative experience of one of the authors compels us to reflect on current approaches to learning and knowledge acquisition and use solutions to the challenges posed by GenAI through social learning contexts using connectivism. We recognize the need for constructivism and experiential learning for knowledge acquisition to establish foundational understanding. We explore how connectivist approaches can enhance traditional constructivist paradigms amid rapidly changing learning environments and online communities. Learning in connectivism includes …

Genomic Analysis Of The Sars-Cov-2 Variants Circulated In The Philippines, 2020–2024, Arnie Dimaano, Kiana Dominique Carreon, Giselle Sophia Camaya, Irvin Rondolo, Jarel Elgin Tolentino

Biology Faculty Publications

Purpose

Genomic sequencing has been an invaluable tool to determine the evolution of SARS-CoV-2. In the present study, we provided a comprehensive description of the SARS-CoV-2 variants circulated in the Philippines.

Methods

The dataset from the human COVID-19 infections was acquired by downloading the sequences and their associated metadata spanning from March 2020 to April 2024. Then, we executed several filtering criteria to acquire the final dataset for the Philippine samples and performed spatial distribution analysis and phylogenetic tree construction of the reported SARS-CoV-2 sequences.

Results

A total of 16,679,203 SARS-CoV sequences were obtained, of which 17,393 (0.10 %) were …

Hpv Vaccine-Related Articles Shared On Facebook From 2019 To 2021: Did Covid Make A Difference?, L Aubree Shay, Ashley Mckenzie, Elaine Avshman, Lara S Savas, Ross Shegog

Faculty, Staff and Student Publications

OBJECTIVE: HPV vaccination is recommended for children beginning at age 9 to prevent several types of cancer. Many parents turn to Facebook for health information. This study describes changes in HPV vaccine-related articles shared on Facebook amidst the COVID-19 pandemic.

METHODS: HPV-related articles shared on Facebook (2019-2021) were collected using Buzzsumo, a social media analytics tool and analyzed using content analysis. Articles were categorized by valence, misinformation, evidence types, persuasive tactics, and framing. We quantified these data and tested for difference by article year.

RESULTS: Of the 138 included articles, 51% had positive valence towards the vaccine and 36% had …

Study Of Different Treatment Strategies In Epidemic Models Using Nonlinear Model Predictive Control, Hector Puebla, Luis A. Ricardez-Sandoval, Priti Kumar Roy

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Improving Infectious Disease Predictions Through The Use Of Metapopulation Sir Modeling And Graph Convolutional Neural Networks, Petr Kisselev, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Estimating The Number Of Polygenic Diseases Among Six Mutually Exclusive Entities Of Non-Tumors And Cancer, C I Edvard Smith, Jan A Burger, Rula Zain

Faculty, Staff and Student Publications

In the era of precision medicine with increasing amounts of sequenced cancer and non-cancer genomes of different ancestries, we here enumerate the resulting polygenic disease entities. Based on the cell number status, we first identified six fundamental types of polygenic illnesses, five of which are non-cancerous. Like complex, non-tumor disorders, neoplasms normally carry alterations in multiple genes, including in 'Drivers' and 'Passengers'. However, tumors also lack certain genetic alterations/epigenetic changes, recently named 'Goners', which are toxic for the neoplasm and potentially constitute therapeutic targets. Drivers are considered essential for malignant transformation, whereas environmental influences vary considerably among both types of …

Aromatase, Testosterone, Tmprss2: Determinants Of Covid-19 Severity, Eric C Mohan, Jude P J Savarraj, Gabriela D Colpo, Diego Morales, Carson E Finger, Alexis Mcalister, Hilda Ahnstedt, Huimahn Choi, Louise D Mccullough, Bharti Manwani

Faculty, Staff and Student Publications

Background: Male sex has been identified as a risk factor for worse COVID-19 outcomes. This sex difference has been mostly attributed to the complex role of sex hormones. Cell surface entry of SARS-CoV-2 is mediated by the transmembrane protease serine 2 (TMPRSS2) which is under transcriptional regulation by androgens. P450 aromatase enzyme converts androgens to estrogens. This study measured concentrations of aromatase enzyme, testosterone, estradiol, and TMPRSS-2 in plasma of hospitalized COVID-19 patients to elucidate the dynamics of sex-linked disparity in COVID-19 and correlate them with disease severity and mortality.

Methods: In this prospective cohort study, a total of 265 …

Micrornas Are Enriched At Covid-19 Genomic Risk Regions, And Their Blood Levels Correlate With The Covid-19 Prognosis Of Cancer Patients Infected By Sars-Cov-2, Simone Anfossi, Faezeh Darbaniyan, Joseph Quinlan, Steliana Calin, Masayoshi Shimizu, Meng Chen, Paola Rausseo, Michael Winters, Elena Bogatenkova, Kim-Anh Do, Ivan Martinez, Ziyi Li, Loredana Antal, Tudor Rares Olariu, Ignacio Wistuba, George A Calin

Faculty, Staff and Student Publications

Background: Cancer patients are more susceptible to an aggressive course of COVID-19. Developing biomarkers identifying cancer patients at high risk of COVID-19-related death could help determine who needs early clinical intervention. The miRNAs hosted in the genomic regions associated with the risk of aggressive COVID-19 could represent potential biomarkers for clinical outcomes.

Patients and methods: Plasma samples were collected at The University of Texas MD Anderson Cancer Center from cancer patients (N = 128) affected by COVID-19. Serum samples were collected from vaccinated healthy individuals (n = 23) at the Municipal Clinical Emergency Teaching Hospital in Timisoara, Romania. An in …

Physical Exercise-Related Manifestations Of Long Covid: A Systematic Review And Meta-Analysis, Chen Zheng, Jun-Jie Chen, Zi-Han Dai, Ke-Wen Wan, Feng-Hua Sun, Jun-Hao Huang, Xiang-Ke Chen

Faculty, Staff and Student Publications

OBJECTIVE: This study aims to systematically assess physical exercise-related symptoms of post-acute sequelae of SARS-CoV-2 infection (PASC or long COVID) in coronavirus disease 2019 (COVID-19) survivors.

METHODS: Eight databases were systematically searched on March 03, 2024. Original studies that compared physical exercise-related parameters measured by exercise testing between COVID-19 survivors who recovered from SARS-CoV-2 infection over 3 months and non-COVID-19 controls were included. A random-effects model was utilized to determine the mean differences (MDs) or standardized MDs in the meta-analysis.

RESULTS: A total of 40 studies with 6241 COVID-19 survivors were included. The 6-min walk test, maximal oxygen consumption (VO …

Impact Of Covid-19 Lockdown On Patient-Provider Electronic Communications, Michael A Hansen, Rebecca Chen, Jacqueline Hirth, James Langabeer, Roger Zoorob

Faculty, Staff and Students Publications

BACKGROUND: SARS CoV-2 virus (COVID-19) impacted the practice of healthcare in the United States, with technology being used to facilitate access to care and reduce iatrogenic spread. Since then, patient message volume to primary care providers has increased. However, the volume and trend of electronic communications after lockdown remain poorly described in the literature.

METHODS: All incoming inbox items (telephone calls, refill requests, and electronic messages) sent to providers from patients amongst four primary care clinics were collected. Inbox item rates were calculated as a ratio of items per patient encountered each week. Trends in inbox rates were assessed during …

Optimization Of Cellular Transduction By The Hiv-Based Pseudovirus Platform With Pan-Coronavirus Spike Proteins, Syamala Rani Thimmiraju, Maria Jose Villar, Jason T Kimata, Ulrich Strych, Maria Elena Bottazzi, Peter J Hotez, Jeroen Pollet

Faculty, Staff and Students Publications

Over the past three years, new SARS-CoV-2 variants have continuously emerged, evolving to a point where an immune response against the original vaccine no longer provided optimal protection against these new strains. During this time, high-throughput neutralization assays based on pseudoviruses have become a valuable tool for assessing the efficacy of new vaccines, screening updated vaccine candidates against emerging variants, and testing the efficacy of new therapeutics such as monoclonal antibodies. Lentiviral vectors derived from HIV-1 are popular for developing pseudo and chimeric viruses due to their ease of use, stability, and long-term transgene expression. However, the HIV-based platform has …

A Case Demonstration Of The Open Health Natural Language Processing Toolkit From The National Covid-19 Cohort Collaborative And The Researching Covid To Enhance Recovery Programs For A Natural Language Processing System For Covid-19 Or Postacute Sequelae Of Sars Cov-2 Infection: Algorithm Development And Validation, Andrew Wen, Liwei Wang, Huan He, Sunyang Fu, Sijia Liu, David A Hanauer, Daniel R Harris, Ramakanth Kavuluru, Rui Zhang, Karthik Natarajan, Nishanth P Pavinkurve, Janos Hajagos, Sritha Rajupet, Veena Lingam, Mary Saltz, Corey Elowsky, Richard A Moffitt, Farrukh M Koraishy, Matvey B Palchuk, Jordan Donovan, Lora Lingrey, Garo Stone-Derhagopian, Robert T Miller, Andrew E Williams, Peter J Leese, Paul I Kovach, Emily R Pfaff, Mikhail Zemmel, Robert D Pates, Nick Guthe, Melissa A Haendel, Christopher G Chute, Hongfang Liu, National Covid Cohort Collaborative, Recover Initiative

Faculty, Staff and Student Publications

BACKGROUND: A wealth of clinically relevant information is only obtainable within unstructured clinical narratives, leading to great interest in clinical natural language processing (NLP). While a multitude of approaches to NLP exist, current algorithm development approaches have limitations that can slow the development process. These limitations are exacerbated when the task is emergent, as is the case currently for NLP extraction of signs and symptoms of COVID-19 and postacute sequelae of SARS-CoV-2 infection (PASC).

OBJECTIVE: This study aims to highlight the current limitations of existing NLP algorithm development approaches that are exacerbated by NLP tasks surrounding emergent clinical concepts and …

Factors Associated With Elevated Sars-Cov-2 Immune Response In Children And Adolescents, Sarah E Messiah, Rhiana Abbas, Emma Bergqvist, Harold W Kohl, Michael D Swartz, Yashar Talebi, Rachit Sabharwal, Haoting Han, Melissa A Valerio-Shewmaker, Stacia M Desantis, Ashraf Yaseen, Henal A Gandhi, Ximena Flandes Amavisca, Jessica A Ross, Lindsay N Padilla, Michael O Gonzalez, Leqing Wu, Mark A Silberman, David Lakey, Jennifer A Shuford, Stephen J Pont, Eric Boerwinkle

Faculty, Staff and Student Publications

BACKGROUND: Understanding the distinct immunologic responses to SARS-CoV-2 infection among pediatric populations is pivotal in navigating the COVID-19 pandemic and informing future public health strategies. This study aimed to identify factors associated with heightened antibody responses in children and adolescents to identify potential unique immune dynamics in this population.

METHODS: Data collected between July and December 2023 from the Texas Coronavirus Antibody REsponse Survey (Texas CARES), a statewide prospective population-based antibody survey among 1-to-19-year-old participants, were analyzed. Each participant had the following data available for analysis: (1) Roche Elecsys® Anti-SARS-CoV-2 Immunoassay for Nucleocapsid protein antibodies (Roche N-test), (2) qualitative and …

The Dissemination And Implementation Of N95 Fit Testing Capacities For Nebraska Long-Term Care Facilities: A Mixed-Methods Analysis Using The Re-Aim Framework, Anthony Blake

Theses & Dissertations

Background: Ensuring the proper fit of N95 respirators used by healthcare workers in long-term care facilities (LTCF) is essential for their safety. The Nebraska Department of Health and Human Services launched a LTCF strike team project (STP) in the summer of 2022, focused on increasing the number of staff trained in infection control and building internal capacity for LTCFs to fit test their employees. This study describes the N95 fit-testing initiative for Nebraska LTCFs.

Methods: Staff from all 19 local health departments (LHD) received “train-the-trainer” training to prepare LTCF staff to perform qualitative fit testing. LTCF administrators were requested to …

Disparities And Protective Factors In Pandemic-Related Mental Health Outcomes: A Louisiana-Based Study, Ariane L. Rung, Evrim Oral, Tyler Prusisz, Edward S. Peters

School of Public Health Faculty Publications

Introduction: The COVID-19 pandemic has had a wide-ranging impact on mental health. Diverse populations experienced the pandemic differently, highlighting pre-existing inequalities and creating new challenges in recovery. Understanding the effects across diverse populations and identifying protective factors is crucial for guiding future pandemic preparedness. The objectives of this study were to (1) describe the specific COVID-19-related impacts associated with general well-being, (2) identify protective factors associated with better mental health outcomes, and (3) assess racial disparities in pandemic impact and protective factors. Methods: A cross-sectional survey of Louisiana residents was conducted in summer 2020, yielding a sample of 986 Black …

Expanding A Behavioral View On Digital Health Access: Drivers And Strategies To Promote Equity, Maura M Kepper, Lauren A Fowler, Isabelle S Kusters, Jean W Davis, Manal Baqer, Sara Sagui-Henson, Yunyu Xiao, Adati Tarfa, Jean C Yi, Bryan Gibson, Kristin E Heron, Nicole M Alberts, Marissa Burgermaster, Veronica Ps Njie-Carr, Lisa M Klesges

Center for Medical Ethics and Health Policy Staff Publications

The potential and threat of digital tools to achieve health equity has been highlighted for over a decade, but the success of achieving equitable access to health technologies remains challenging. Our paper addresses renewed concerns regarding equity in digital health access that were deepened during the COVID-19 pandemic. Our viewpoint is that (1) digital health tools have the potential to improve health equity if equitable access is achieved, and (2) improving access and equity in digital health can be strengthened by considering behavioral science-based strategies embedded in all phases of tool development. Using behavioral, equity, and access frameworks allowed for …

Clinical Features And Outcomes Of Pediatric And Adult Patients Hospitalized For Coronavirus Disease 2019: A Comparison Across Age Strata, Grace X Li, Komal Gopchandani, Noah Brazer, Ashley Tippett, Chris Choi, Hui-Mien Hsiao, Miriam Oseguera, Abiodun Foresythe, Sanchita Bhattacharya, Venice Servellita, Alicia Sotomayor Gonzalez, Jennifer K Spinler, Mark D Gonzalez, Dalia Gulick, Colleen Kraft, Vyjayanti Kasinathan, Yun F Wayne Wang, Jennifer Dien Bard, Pei Ying Chen, Jessica Flores-Vazquez, Audrey R Odom John, Paul J Planet, Sridevi Devaraj, Ananth V Annapragada, Ruth Ann Luna, Charles Y Chiu, Christina A Rostad

Faculty, Staff and Students Publications

BACKGROUND: Coronavirus disease 2019 (COVID-19) continues to cause hospitalizations and severe disease in children and adults.

METHODS: This study compared the risk factors, symptoms, and outcomes of children and adults hospitalized for COVID-19 from March 2020 to May 2023 across age strata at 5 US sites participating in the Predicting Viral-Associated Inflammatory Disease Severity in Children with Laboratory Diagnostics and Artificial Intelligence consortium. Eligible patients had an upper respiratory swab that tested positive for severe acute respiratory syndrome coronavirus 2 by nucleic acid amplification. Adjusted odds ratios (aOR) of clinical outcomes were determined for children versus adults, for pediatric age …

A Mixed Methods Exploration Of Young Women's Agency And Mental Health During Covid-19 In Low-Income Communities In Mumbai, India, Marie A Brault, Melissa F Peskin, Anastasia N Jones, Amrita Saikia, Rinchen O Bhutia, Sai Sammitha Cheruvu, Vaishali M Jagtap, Rajendra Singh, Poornima Nair, Rajesh Vedanthan, Sten H Vermund, Shubhada Maitra

Faculty, Staff and Student Publications

Introduction: Adolescent girls and young women (AGYW) in India face additional health inequities compared to their male peers, as gender norms constrain agency for prevention and self-care. The onset of the COVID-19 pandemic and associated lockdowns deepened health inequities and often worsened mental health, but the impacts on agency are unclear. This exploratory sequential mixed methods paper examined mental health and COVID-19 elements that exacerbated or mitigated adverse consequences for AGYW in low-income communities in Mumbai.

Methods: We conducted semi-structured interviews with AGYW (aged 15-25 years; N = 60) and adults (parents, healthcare providers, community-based organization representative; N = 30). …

Bayesian Beta-Binomial Mixed Models For Longitudinal, Clustered, And Spatiotemporal Data, Chun-Che Wen

MUSC Theses and Dissertations

Overdispersed binomial data arise in many clinical and public health research studies. Examples include timeline followback data (TLFB), which are used in addiction research to monitor recent substance use. This dissertation proposes novel beta-binomial (BB) mixed models to address the challenges associated with overdispersed binomial data, including zero-inflation, heterogenous effects, and spatiotemporal correlation. Motivated by a 12-week randomized controlled trial evaluating the efficacy of varenicline tartrate for smoking cessation among adolescents, Aim 1 develops a Bayesian zero-inflated beta-binomial (ZIBB) model to analyze longitudinal and bounded TLFB data — namely, the number of abstinent days in the past week. Because treatment …