COVID-19 Commons^™

Rapid Recovery Of Peripheral Oxygen Saturation In Hypoxic Covid-19 Patients With Ivermectin/Doxycycline/Zinc Multidrug Therapy, Sabine Hazan, Adriana C. Vidal, Eleftherios Gkioulekas, Anoja W. Gunaratne, Sibaish Dolai, Robert L. Clancy, Peter A. Mccullough, Thomas J. Borody

School of Mathematical & Statistical Sciences Faculty Publications

Several combination therapies for the early outpatient treatment of COVID-19 were proposed by independent research groups at the onset of the pandemic during 2020 and 2021. In this observational study, we report on the outcomes of an off-label triple combination therapy, consisting of ivermectin, doxycycline, and zinc, with adjunct vitamin C and D3 supplementation, which was used on high-risk COVID-19 patients. These patients refused an initial recommendation to seek inpatient care, despite a high-risk presentation compounded with one or more comorbidities and/or severe hypoxia. Telemedicine was used to administer personalized treatment to patients at home, who did not have access …

Mechanisms Of Binding And Immune Escape Resistance For Broadly Neutralizing Antibodies Targeting Distinct Conserved Sars-Cov-2 Spike Epitopes: A Hierarchical Approach Integrating Mutational Profiling And Energy Landscape Analysis, Mohammed Alshahrani, Will Gatlin, Max Ludwick, Lucas Turano, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The continued evolution of SARS-CoV-2 has enabled an escape from most monoclonal antibodies, yet a subset of broadly neutralizing antibodies targeting three newly identified super-conserved RBD epitopes—SCORE-A, SCORE-B, and SCORE-C—retains remarkable activity against even the most recent JN.1-derived sublineages. Here, we employed an integrated computational framework combining conformational dynamics, mutational scanning, MM-GBSA binding energetics, and frustration profiling to dissect the molecular mechanisms by which XGI antibodies achieve broad neutralization and resistance to immune escape. Structural analysis revealed that all three SCORE epitopes share a common architecture: a highly conserved, minimally frustrated core that provides stable anchoring, flanked by peripheral regions …

Utilizing Machine Learning Techniques For Computer-Aided Covid-19 Screening Based On Clinical Data, Honglun Xu, Andrews T. Anum, Michael Pokojovy, Sreenath Chalil Madathil, Yuxin Wen, Md. Fashiar Rahman, Tzu-Liang Bill Tseng, Scott Moen, Eric Walser

Engineering Faculty Articles and Research

The COVID-19 pandemic has highlighted the importance of rapid clinical decision-making to facilitate the efficient usage of healthcare resources. Over the past decade, machine learning (ML) has caused a tectonic shift in healthcare, empowering data-driven prediction and decision-making. Recent research demonstrates how ML was used to respond to the COVID-19 pandemic. This paper puts forth new computer-aided COVID-19 disease screening techniques using six classes of ML algorithms (including penalized logistic regression, random forest, artificial neural networks, and support vector machines) and evaluates their performance when applied to a real-world clinical dataset containing patients’ demographic information and vital indices (such as …

Optimal Intervention Strategies In Age-Structured Sirvd Model: Epidemiological And Economic Analysis Of Covid-19 In Korea, Joon Chun, Melisa Hendrata

Spora: A Journal of Biomathematics

This study employed an age-structured Susceptible-Infected-Recovered-Vaccinated-Deceased (SIRVD) model to design optimal COVID‑19 intervention strategies by integrating epidemiological dynamics with economic costs. Using empirical data from South Korea, we estimated transmission parameters and analyzed quarantine-based non-pharmaceutical interventions (NPIs) alongside targeted vaccination scenarios. Our results indicated that a stronger form of mild NPI (upper range of Level I), when combined with targeted vaccination that prioritized seniors, achieved substantial reductions in infection peaks and overall economic burden. These findings underscore the effectiveness of age-specific strategies in epidemic management and offer critical insights for policymakers seeking balanced, resource-efficient approaches.

Trends Among Suspected Opioid Overdose Emergency Medical Service (Ems) Incidents In Georgia From 2019-2023, Ashton Harris

College of Graduate Studies: Theses & Dissertations

Opioid overdoses remain a problem in the United States, underscoring the need for additional surveillance tools to monitor trends in opioid overdoses. Emergency Medical Services (EMS) data is a timely surveillance method that captures more potential overdoses than hospitals by representing the pre-hospital setting. Research questions in the study assess EMS responses to suspect opioid overdose incidents from 2019-2023 in Georgia to encompass the following characteristics: timeframe (pre, during, post-pandemic), urban versus rural counties, race/ethnicity, categorical type of first responder, mean dosage of naloxone in milligrams administered, and death. 84,359 records meeting the inclusion criteria were initially retrieved from the …

Exploring The Impact Of Adverse Childhood Experiences On Preventive Healthcare Utilization In Rural Georgia, Ryan R. Traylor

College of Graduate Studies: Theses & Dissertations

This study examines the relationship between Adverse Childhood Experiences (ACEs) and preventive healthcare use among adults in Georgia, specifically within rural populations facing structural barriers. Using 2023 Georgia Behavioral Risk Factor Surveillance System (BRFSS) data, the research analyzes associations between ACE exposure, rural residence, and preventive care outcomes, including physical exams and flu vaccinations. Guided by an intersectionally adapted version of Andersen’s Behavioral Model of Health Services Use, the study evaluates how predisposing factors, enabling resources, and perceived barriers relate to healthcare engagement. Logistic regression analyses assess the correlation of ACE exposure, cost barriers, provider access, and sociodemographics with preventive …

Assessing And Advancing Pandemic Emergency Preparedness In New York City's Hospitals: A Strategic Management Toolkit Integrating Policy Analysis, Risk Assessment, And Stakeholder Insight, Irrem Jamal

College of Graduate Studies: Theses & Dissertations

This dissertation examines pandemic emergency preparedness in New York City hospitals, which were severely strained during COVID-19, revealing critical gaps between documented plans and operational readiness. Using a multimethod approach combining a survey of 20 stakeholders across city hospitals, semi-structured interviews, and document analysis of policy frameworks and after-action reports, the study identifies a persistent "documentation-execution paradox": while 80% of respondents confirmed clear pandemic plans, only 45% expressed confidence in staffing adequacy, 55% in surge planning realism, and just 45% confirmed regular drills. Qualitative analysis revealed workforce as the single greatest yet most underinvested vulnerability, supply chain fragility rooted in …

Public Perception About Covid-19 Vaccine Hesitancy In South Central Nebraska, Rita Nnenne Oparaocha

Biology Theses, Dissertations, and Student Creative Activity

The COVID-19 pandemic created a shift in the trajectory of vaccination hesitancy, altering risk perceptions and vaccination attitudes among individuals in rural communities. The 5C framework highlights confidence, complacency, constraints, calculation, and collective responsibility as influencing factors of vaccine hesitancy. This study assessed the proportion of adults who refused COVID-19 vaccination and identified the individual reasons for hesitancy among those who refused the COVID -19 vaccines in South Central Nebraska. Data was analyzed from a local cross-sectional public health survey administered to 2,034 adult participants over a six-month period (March-August 2024), including 91 respondents who were from outside the seven-county …

Public Health Trade-Offs During A Pandemic: Mobility Decline And Hypertension Risk In India, Arpita Khanna, Tomoki Fujii

Research Collection School Of Economics

The Covid pandemic dramatically altered patterns of daily life, particularly through widespread declines in mobility due to lockdowns and social distancing measures. While the economic and epidemiological effects of these restrictions have been widely studied, their broader health implications remain underexplored. This paper investigates the relationship between mobility decline during the Covid pandemic and hypertension outcomes in India. Leveraging district-level variation in mobility from Google Community Mobility Reports and health data from the 2019–2021 Indian Demographic and Health Survey (DHS), we find that a 1 percentage point reduction in mobility over the 30 days prior to interview is associated with …

Multi-Resolution Graph Neural Networks For Spread Prediction, Petr Kisselev

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

A Literature Review Of The United States Of America’S Reliance On Imported Covid Personal Protective Equipment During The Pandemic, Pradip K. Shukla, Izzet Kosar, Hedieh Setayesh

Business Faculty Articles and Research

This paper provides a literature review of United States of America’s reliance on imported Covid Personal Protective Equipment (PPEs) during the Covid pandemic. The abstracted and cited articles show that the United States was too reliant on imported PPEs, primarily imported from Asia which led to shortages as the cases of Covid surged at various points during the waves of Covid cases. This supply and demand imbalance was not just an inconvenience such as the toilet paper shortage and other supply chain disruptions of basic commodities; this supply and demand imbalance had life and death impacts for many first responders, …

Learning From Covid-19: Clinical Trials, Health Information Technology, And Patient Mortality, Christos Nicolaides, Avinash Collis, Seth Benzell, Indranil Bardhan

Economics Faculty Articles and Research

During the COVID-19 pandemic, deaths per case in the United States decreased from 7.46% in April 2020 to 1.76% in April 2021. One mechanism that could explain this decline is a learning effect associated with testing of new treatments by hospitals. Hospitals that participated in clinical trials developed better organizational capabilities to diagnose and treat COVID-19 patients. Simultaneously, hospitals used health information technologies (IT) that integrated health information across healthcare providers to facilitate greater learning and sharing of best practices. Using US county-level data on clinical trial participation, use of health IT, and COVID-19 cases and deaths, we show that …

Higher Mortality Following Sars-Cov-2 Infection In Rural Versus Urban Dwellers Persists For Two Years Post-Infection, A. Jerrod Anzalone, Michael T. Vest, Makayla E. Schissel, Bradley Price, William B. Hillegass, Ronald Horswell, San Chu, Clifford J. Rosen, Lucio Miele, Susan L. Santangelo, Gordon S. Smith, Sally L. Hodder, Christopher G. Chute

School of Medicine Faculty Publications

Previous studies demonstrated higher short-term mortality among rural compared with urban residents infected with SARS-CoV-2. However, whether this difference persists remains uncertain. This retrospective cohort study analyzed two-year post-COVID-19 mortality by rurality using the National Clinical Cohort Collaborative COVID-19 Enclave, a United States-based longitudinal electronic health record repository. We analyzed mortality among patients infected with SARS-CoV-2 between April 2020 and December 2022, with follow-up until December 2024. Patients were categorized into urban, urban-adjacent rural (UAR), and nonurban-adjacent rural (NAR) groups based on residential ZIP Code. Mortality differences were assessed using Kaplan-Meier analysis and weighted multivariable Cox regression, with weights derived …

Multiscale Modeling And Dynamic Mutational Profiling Of Binding Energetics And Immune Escape For Class I Antibodies With Sars-Cov-2 Spike Protein: Dissecting Mechanisms Of High Resistance To Viral Escape Against Emerging Variants, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The rapid evolution of SARS-CoV-2 has underscored the need for a detailed understanding of antibody binding mechanisms to combat immune evasion by emerging variants. In this study, we investigated the interactions between Class I neutralizing antibodies—BD55-1205, BD-604, OMI-42, P5S-1H1, and P5S-2B10—and the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein using multiscale modeling, which combined molecular simulations with the ensemble-based mutational scanning of the binding interfaces and binding free energy computations. A central theme emerging from this work is that the unique binding strength and resilience to immune escape of the BD55-1205 antibody are determined by leveraging a broad epitope …

Modeling, Analysis, And Prediction Of Covid-19 Dynamics With Interacting Subpopulations And Implicit Behavior Using Physics-Informed Neural Networks, Naima Aubry-Romero, Alonso Ogueda-Oliva, Padmanabhan Seshaiyer

Spora: A Journal of Biomathematics

In this paper, we consider an extended SEIR compartmental model that incorporates young and old interacting subpopulations, allowing for cross-group transmission dynamics. Implicit behavioral changes are included to determine the influence of social behavior on coronavirus transmission dynamics. The basic reproduction number, the average number of secondary cases of infection produced by a single primary case, is derived for both the explicit and implicit model using the next-generation matrix method. We solve the associated differential equation systems and estimate useful parameters in the explicit model using physics-informed neural networks (PINNs). Our results point to how the PINNs approach offers an …

Identification Of Hypoxia-Inducible Factor Hif1a As A Therapeutic Target During Sars-Cov-2-Associated Lung Injury, Bentley Bobrow, Samuel D Luber, Paul Potnuru, Katherine Figarella, Jieun Kim, Yanyu Wang, In Hyuk Bang, David Robinson, Paulina B Sergot, Steven K Burke, Tingting Mills, Constanza De Dios, Robert Suchting, George W Williams, Adit A Ginde, Yafen Liang, Hongfang Liu, Charles Green, Marie-Francoise Doursout, Alparslan Turan, Daniel I Sessler, Xiaoyi Yuan, Holger K Eltzschig

Faculty, Staff and Student Publications

Hypoxia-inducible factors (HIFs) promote lung protection and pathogen eradication during acute lung injury. We therefore tested the theory that pharmacologic stabilization of HIFs dampens lung injury during SARS-CoV-2 pneumonia. Initial studies in murine SARS-CoV-2 models showed improved outcomes after treatment with the FDA-approved HIF-stabilizer vadadustat. Subsequent studies in genetic models implicated alveolar-expressed Hif1a in mediating lung protection. Therefore, we performed a randomized, double-blinded, multicenter phase 2 trial in patients admitted for SARS-CoV-2 infection and concomitant hypoxia (SpO2 ≤ 94%). Patients (n=448) were randomized to oral vadadustat (900 mg/day) or placebo for up to 14 days. Safety events were similar between …

Intersectional Analysis Of Vaccination Inequity Among Individuals With Disabilities In The United States During The Covid-19 Pandemic, Philip Ndoki, Heba M. Athar, David O. Anderson

Journal of Social, Behavioral, and Health Sciences

We investigated how disability status, types, sociodemographic indicators, and reasons for not receiving vaccinations influenced COVID-19 vaccination rates among individuals with disabilities in the United States. Despite efforts, vaccination disparities persisted, necessitating a nuanced understanding of the barriers to vaccination. Using intersectionality theory and the social determinants of health framework, we examined the impact of marginalized identities and structural inequalities. Key questions included the association between disability status and vaccination uptake, differences among disability types moderated by sociodemographic factors, and the interaction between disability status and reasons for not vaccinating. We used Household Pulse Survey data from the U.S. Census …

Science Tikkun: A Bioscience Pandemic Framework In A Hebrew Tradition Of Global Repair, Peter Hotez

Center for Medical Ethics and Health Policy Staff Publications

Over the past decade we have seen a steady increase in dangerous pandemic threats. They include two major Ebola epidemics and cholera in Africa; dengue, Zika, yellow fever in the Americas; a COVID-19 pandemic; and H5N1 in Texas. This is happening because of a confluence of modern forces including urbanization, deforestation, and climate change. Yet as pandemics emerge on a crowded and warming planet, anti-science disinformation and antisemitism impede our response. Science tikkun is an overarching framework for repair and redress. It honors the legacy of Maimonides, Teilhard de Chardin, and others who have sought reconciliation between science and religion.

Advancing Pandemic Response: Integrated Strategies For Testing, Prediction, And Bias Mitigation, Tianshu Gu

Theses and Dissertations (ETD)

The COVID-19 pandemic, along with prior outbreaks such as SARS and Ebola, has revealed critical gaps in global pandemic preparedness, emphasizing the need for integrated approaches to infectious disease management. This dissertation addresses three key areas of pandemic response: developing scalable screening strategies, constructing reliable predictive models, and mitigating demographic biases in artificial intelligence (AI) models used for healthcare decision-making.

The first study introduces a global screening strategy designed to optimize resource use and increase testing capacity, particularly in low- and middle-income countries (LMICs) where resources are limited. This study leverages pooled testing methods, where multiple samples are combined into …

The Burden Of Steatotic Liver Disease Before And During The Covid-19 Pandemic: Correspondence To Editorial On “Current Burden Of Steatotic Liver Disease And Fibrosis Among Adults In The United States, 2017–2023”, Donghee Kim, Pojsakorn Danpanichkul, Karn Wijarnpreecha, George Cholankeril, Rohit Loomba, Aijaz Ahmed

Faculty, Staff and Students Publications

No abstract provided.

Critical Appraisal Of Multidrug Therapy In The Ambulatory Management Of Patients With Covid-19 And Hypoxemia Part I. Evidence Supporting The Strength Of Association, Eleftherios Gkioulekas, Peter A. Mccullough, Colleen Aldous

School of Mathematical & Statistical Sciences Faculty Publications

This critical appraisal is focused on three published case series of 119 COVID-19 patients with hypoxemia who were successfully treated in the United States, Zimbabwe, and Nigeria with similar off-label ivermectin-based multidrug treatments that may include ivermectin, nebulized nanosilver, doxycycline, zinc, Vitamins C, and Vitamin D, resulting in rapid recovery of oxygen levels. We used a simplified self-controlled case series method to investigate the association between treatment and the existence of hospitalization rate reduction. External controls of hospitalized patients were compared against the subgroup of patients with baseline room air SpO2 ≤ 90% to investigate the association between treatment and …

Critical Appraisal Of Multidrug Therapy In The Ambulatory Management Of Patients With Covid-19 And Hypoxemia. Part Ii: Causal Inference Using The Bradford Hill Criteria, Eleftherios Gkioulekas, Peter A. Mccullough, Colleen Aldous

School of Mathematical & Statistical Sciences Faculty Publications

We continue the critical appraisal of three published case series of 119 COVID-19 patients with hypoxemia, treated in the United States, Zimbabwe, and Nigeria with similar ivermectin-based multidrug treatments, to assess the available evidence supporting a causal relationship between treatment and reduction in hospitalizations and mortality. A narrative review was conducted to assess the Bradford Hill criteria for a causal association. We used a previously proposed refinement of the Bradford Hill criteria that reorganized them into three categories of direct, mechanistic, and parallel evidence. The efficacy of the two most aggressive ivermectin-based multidrug protocols is supported by the Bradford Hill …

Precision Phenotyping For Curating Research Cohorts Of Patients With Unexplained Post-Acute Sequelae Of Covid-19, Alaleh Azhir, Jonas Hügel, Jiazi Tian, Jingya Cheng, Ingrid V Bassett, Douglas S Bell, Elmer V Bernstam, Maha R Farhat, Darren W Henderson, Emily S Lau, Michele Morris, Yevgeniy R Semenov, Virginia A Triant, Shyam Visweswaran, Zachary H Strasser, Jeffrey G Klann, Shawn N Murphy, Hossein Estiri

Faculty, Staff and Student Publications

BACKGROUND: Scalable identification of patients with post-acute sequelae of COVID-19 (PASC) is challenging due to a lack of reproducible precision phenotyping algorithms, which has led to suboptimal accuracy, demographic biases, and underestimation of the PASC.

METHODS: In a retrospective case-control study, we developed a precision phenotyping algorithm for identifying cohorts of patients with PASC. We used longitudinal electronic health records data from over 295,000 patients from 14 hospitals and 20 community health centers in Massachusetts. The algorithm employs an attention mechanism to simultaneously exclude sequelae that prior conditions can explain and include infection-associated chronic conditions. We performed independent chart reviews …

Increasing Covid-19 Testing And Vaccination Uptake In The Take Care Texas Community-Based Randomized Trial: Adaptive Geospatial Analysis, Kehe Zhang, Jocelyn V Hunyadi, Marcia C De Oliveira Otto, Miryoung Lee, Zitong Zhang, Ryan Ramphul, Jose-Miguel Yamal, Ashraf Yaseen, Alanna C Morrison, Shreela Sharma, Mohammad Hossein Rahbar, Xu Zhang, Stephen Linder, Dritana Marko, Rachel White Roy, Deborah Banerjee, Esmeralda Guajardo, Michelle Crum, Belinda Reininger, Maria E Fernandez, Cici Bauer

Faculty, Staff and Student Publications

BACKGROUND: Geospatial data science can be a powerful tool to aid the design, reach, efficiency, and impact of community-based intervention trials. The project titled Take Care Texas aims to develop and test an adaptive, multilevel, community-based intervention to increase COVID-19 testing and vaccination uptake among vulnerable populations in 3 Texas regions: Harris County, Cameron County, and Northeast Texas.

OBJECTIVE: We aimed to develop a novel procedure for adaptive selections of census block groups (CBGs) to include in the community-based randomized trial for the Take Care Texas project.

METHODS: CBG selection was conducted across 3 Texas regions over a 17-month period …

Mutational Scanning And Binding Free Energy Computations Of The Sars-Cov-2 Spike Complexes With Distinct Groups Of Neutralizing Antibodies: Energetic Drivers Of Convergent Evolution Of Binding Affinity And Immune Escape Hotspots, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Nishank Raisinghani, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

The rapid evolution of SARS-CoV-2 has led to the emergence of variants with increased immune evasion capabilities, posing significant challenges to antibody-based therapeutics and vaccines. In this study, we conducted a comprehensive structural and energetic analysis of SARS-CoV-2 spike receptor-binding domain (RBD) complexes with neutralizing antibodies from four distinct groups (A–D), including group A LY-CoV016, group B AZD8895 and REGN10933, group C LY-CoV555, and group D antibodies AZD1061, REGN10987, and LY-CoV1404. Using coarse-grained simplified simulation models, rapid energy-based mutational scanning, and rigorous MM-GBSA binding free energy calculations, we elucidated the molecular mechanisms of antibody binding and escape mechanisms, identified key …

Quantitative Characterization And Prediction Of The Binding Determinants And Immune Escape Hotspots For Groups Of Broadly Neutralizing Antibodies Against Omicron Variants: Atomistic Modeling Of The Sars-Cov-2 Spike Complexes With Antibodies, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Nishank Raisinghani, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

A growing body of experimental and computational studies suggests that the cross-neutralization antibody activity against Omicron variants may be driven by the balance and tradeoff between multiple energetic factors and interaction contributions of the evolving escape hotspots involved in antigenic drift and convergent evolution. However, the dynamic and energetic details quantifying the balance and contribution of these factors, particularly the balancing nature of specific interactions formed by antibodies with epitope residues, remain largely uncharacterized. In this study, we performed molecular dynamics simulations, an ensemble-based deep mutational scanning of SARS-CoV-2 spike residues, and binding free energy computations for two distinct groups …

A Randomized, Double-Blind, Placebo-Controlled Trial Of Il-7 In Critically Ill Patients With Covid-19, Manu Shankar-Hari, Bruno Francois, Kenneth E Remy, Cristina Gutierrez, Stephen Pastores, Thomas Daix, Robin Jeannet, Jane Blood, Andrew H Walton, Reinaldo Salomao, Georg Auzinger, David Striker, Robert S Martin, Nitin J Anand, James Bosanquet, Teresa Blood, Scott Brakenridge, Lyle L Moldawer, Vidula Vachharajani, Cassian Yee, Felipe Dal-Pizzol, Michel Morre, Frederique Berbille, Marcel Van Den Brink, Richard Hotchkiss

Faculty, Staff and Student Publications

Background: Lymphopenia and failure of lymphocytes to mount an early IFN-γ response correlate with increased mortality in COVID-19. Given the essential role of CD4 helper and CD8 cytotoxic cells in eliminating viral pathogens, this profound loss in lymphocytes may impair patients' ability to eliminate the virus. IL-7 is a pleiotropic cytokine that is obligatory for lymphocyte survival and optimal function.

Methods: We conducted a prospective, double-blind, randomized, placebo-controlled trial of CYT107, recombinant human IL-7, in 109 critically ill, patients with lymphopenia who have COVID-19. The primary endpoint was to assess CYT107's effect on lymphocyte recovery with secondary clinical endpoints including …

Hybrid Versus Vaccine Immunity Of Mrna-1273 Among People Living With Hiv In East And Southern Africa: A Prospective Cohort Analysis From The Multicentre Covpn 3008 (Ubuntu) Study, Nigel Garrett, Asa Tapley, Aaron Hudson, Sufia Dadabhai, Bo Zhang, Nyaradzo M Mgodi, Jessica Andriesen, Azwidihwi Takalani, Leigh H Fisher, Jia Jin Kee, Craig A Magaret, Manuel Villaran, John Hural, Erica Andersen-Nissen, Guido Ferarri, Maurine D Miner, Bert Le Roux, Eduan Wilkinson, Richard Lessells, Tulio De Oliveira, Jackline Odhiambo, Parth Shah, Laura Polakowski, Margaret Yacovone, Taraz Samandari, Zvavahera Chirenje, Peter James Elyanu, Joseph Makhema, Ethel Kamuti, Harriet Nuwagaba-Biribonwoha, Sharlaa Badal-Faesen, William Brumskine, Soritha Coetzer, Rodney Dawson, Sinead Delany-Moretlwe, Andreas Henri Diacon, Samantha Fry, Katherine Margaret Gill, Zaheer Ahmed Ebrahim Hoosain, Mina C Hosseinipour, Mubiana Inambao, Craig Innes, Steve Innes, Dishiki Kalonji, Margaret Kasaro, Priya Kassim, Noel Kayange, William Kilembe, Fatima Laher, Moelo Malahleha, Vongane Louisa Maluleke, Grace Mboya, Kirsten Mcharry, Essack Mitha, Kathryn Mngadi, Pamela Mda, Tumelo Moloantoa, Cissy Kityo Mutuluuza, Nivashnee Naicker, Vimla Naicker, Anusha Nana, Annet Nanvubya, Maphoshane Nchabeleng, Walter Otieno, Elsje Louise Potgieter, Disebo Potloane, Zelda Punt, Jamil Said, Yashna Singh, Mohammed Siddique Tayob, Yacoob Vahed, Deo Ogema Wabwire, M Juliana Mcelrath, James G Kublin, Linda-Gail Bekker, Peter B Gilbert, Lawrence Corey, Glenda E Gray, Yunda Huang, Philip Kotze, Covpn 3008 Ubuntu Study Team

Faculty, Staff and Students Publications

BACKGROUND: With limited access to mRNA COVID-19 vaccines in lower income countries, and people living with HIV (PLWH) largely excluded from clinical trials, Part A of the multicentre CoVPN 3008 (Ubuntu) study aimed to assess the safety of mRNA-1273, the relative effectiveness of hybrid versus vaccine immunity, and SARS-CoV-2 viral persistence among PLWH in East and Southern Africa during the omicron outbreak.

METHODS: Previously unvaccinated adults with HIV and/or other comorbidities associated with severe COVID-19 received either one (hybrid immunity) or two (vaccine immunity) 100-mcg doses of ancestral strain mRNA-1273 in the first month, depending on baseline evidence of prior …

Examining Health Insurance And Non-Medical Challenges Among Vietnamese Americans In Texas During The Covid-19 Pandemic, Alexander Le, Saba Siddiqi, Celine Nguyen, Ben King, Paul Gerardo Yeh, Jannette Diep, Lauren Gilbert, Bich-May Nguyen

Faculty, Staff and Student Publications

When COVID-19 data on Asian Americans are available, they are frequently aggregated, concealing community-specific concerns. Consequently, there is limited COVID-19 literature on Vietnamese Americans. In this study, we investigated the association between health insurance coverage and non-medical challenges during the COVID-19 pandemic, in Vietnamese Americans in Texas. The NIH Community Engagement Alliance (CEAL) Common Survey 2 was administered electronically in English and Vietnamese and contained 23 questions about non-medical drivers of health, COVID-19 vaccination, and research participation. Vietnamese American adults in Texas were recruited between September 2021 and March 2022 via partnerships with community organizations. Responses were compared and analyzed …

Uncovering The Binding Mechanism Of Mutated Omicron Variants Via Computational Strategies, Sajjad Haider, Nadeem Ahmad, Muhammad Shafiq, Ali Raza Siddiqui, Mohammad Nur-E-Alam, Aftab Ahmed, Zaheer Ul-Haq

Pharmacy Faculty Articles and Research

The COVID-19 pandemic, triggered by the SARS-CoV-2 virus, has resulted in nearly 630 million cases and 6.60 million fatalities globally, as of November 2022. SARS-CoV-2, a species of the Coronaviridae family, has a single-stranded positive-sense RNA genome as well as four main structural proteins (S, E, M, and N) required for viral entrance into target cells. The spike protein (S) influences this entry through interactions with human angiotensin-converting enzyme 2 (hACE2) receptor. The World Health Organization (WHO) recognized numerous variants of concern (VOCs) that involve Alpha, Beta, Gamma, Delta, and Omicron, having multiple mutations within the spike protein, altering infection …