Medicine and Health Sciences Commons^™

Factors Associated With Meeting Physical Activity Guidelines During The Covid-19 Pandemic, Natalia I. Heredia, Michael Machiorlatti, Belinda M. Reininger, Candace Robledo

School of Medicine Publications and Presentations

Introduction: The COVID-19 pandemic impacted individual physical activity levels. Less is known regarding how factors such as sociodemographic and built environment were associated with physical activity engagement during the pandemic. Understanding these factors is critical to informing future infectious disease mitigation policies that promote, rather than hinder physical activity. The purpose of this study was to assess predictors of physical activity levels during the beginning of the pandemic (April-June 2020), including Stay-at-Home length and orders, neighborhood safety, and sociodemographic characteristics.

Methods: Data included 517 participants who responded to an anonymous online survey. Physical activity was assessed with a modified Godin …

Comparative Analysis Of All-Terrain Vehicles, Motorcycle And Automobile-Related Trauma In A Rural Border Community Of The Usa, Haissam S. Elzaim, Kristina Vatcheva, Annelyn Torres-Reveron, Gregery Pequeno, Monica Michelle Betancourt-Garcia

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Introduction: There is widespread use of all-terrain vehicles (ATVs) in the USA for both work-related and recreational activities. In this study, we aimed to determine the difference in injury severity, Glasgow Coma scales and length of stay between ATV-related injuries and injuries sustained from motorcycles (MOTOs) and automobiles (AUTOs).

Methods: We retrospectively analysed ATV, MOTO and AUTO injuries from a Level 2 Trauma Center between 01 January 2015 and 31 August 2020. Proportional odds regression analyses, as well as multivariable regression models, were used to analyse the data.

Results: There were significantly more male and paediatric patients that suffered ATV-related …

Covid-19 And Vaccination: Myths Vs Science, Vivek P. Chavda, Yangmin Chen, Jayant Dave, Zhe-Sheng Chen, Subhash C. Chauhan, Murali M. Yallapu, Vladimir N. Uversky, Rajashri Bezbaruah, Sandip Patel, Vasso Apostolopoulos

School of Medicine Publications and Presentations

Introduction: Several vaccines against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been developed since the inception of the coronavirus disease 2019 (COVID-19) in December 2019, at unprecedented speed. However, these rapidly developed vaccines raised many questions related to the efficacy and safety of vaccines in different communities across the globe. Various hypotheses regarding COVID-19 and its vaccines were generated, and many of them have also been answered with scientific evidence. Still, there are many myths/misinformation related to COVID-19 and its vaccines, which create hesitancy for COVID-19 vaccination, and must be addressed critically to achieve success in the battle against …

Statistical Analysis Methods Applied To Early Outpatient Covid-19 Treatment Case Series Data, Eleftherios Gkioulekas, Peter A. Mccullough, Vladimir Zelenko

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

When confronted with a public health emergency, significant innovative treatment protocols can sometimes be discovered by medical doctors at the front lines based on repurposed medications. We propose a statistical framework for analyzing the case series of patients treated with such new protocols, that enables a comparison with our prior knowledge of expected outcomes, in the absence of treatment. The goal of the proposed methodology is not to provide a precise measurement of treatment efficacy, but to establish the existence of treatment efficacy, in order to facilitate the binary decision of whether the treatment protocol should be adopted on an …

Burnout And Wellness Strategies During The Covid-19 Pandemic, Cecilia Salinas Domene

MEDI 9331 Scholarly Activities Clinical Years

During the COVID-19 pandemic, healthcare workers not only had to manage how to treat a new disease but also had to increase their workload to keep up with the patients infected with the new virus. These physicians had to deal with an increase in patients and an increase in patient deaths. In addition, being a frontline worker meant that these physicians had more exposure to the virus than the general population. If they did contract the virus themselves, they had to go into quarantine, many times away from their families (Walton et al., 2020). A national survey done of physicians …

Could Cultures Determine The Course Of Epidemics And Explain Waves Of Covid-19?, Md Salman Rahman

Theses and Dissertations

Coronavirus Disease (COVID-19), caused by the SARS-CoV-2 virus, is an infectious disease that quickly became a pandemic spreading with different patterns in each country. Travel bans, lockdowns, social distancing, and non-essential business closures caused significant economic disruptions and stalled growth worldwide in the pandemic’s first year. In almost every country, public health officials forced and/or encouraged Nonpharmaceutical Interventions (NPIs) such as contact tracing, social distancing, masks, and quarantine. Human behavioral decision-making regarding social isolation significantly impedes global success in containing the pandemic. This thesis focuses on human behaviors and cultures related to the decision-making of social isolation during the pandemic. …

The Role Of Community Factors In Predicting Depressive Symptoms Among Chinese Workforce: A Longitudinal Study In Rural And Urban Settings, Wanlian Li, Guanghan Gao, Fei Sun, Lin Jiang

School of Social Work Faculty Publications and Presentations

Background: The dual urban-rural division system in China has led to distinguishes in economic development, medical services, and education as well as in mental health disparities. This study examined whether community factors (community cohesion, supportive network size, foreseeable community threat, and medical insurance coverage) predict the depressive symptoms of Chinese workers and how community factors may work differently in rural and urban settings.

Methods: This secondary data analysis was conducted using data from the 2014 and 2016 China Labor-force Dynamics Survey (CLDS). The sample of this study includes 9,140 workers (6,157 rural labors and 2,983 urban labors) who took part …

Covid-19 Vaccination Drive In A Low-Volume Primary Care Clinic: Challenges & Lessons Learned In Using Homegrown Self-Scheduling Web-Based Mobile Platforms, Reita N. Agarwal, Rajesh Aggarwal, Pridhviraj Nandarapu, Hersheth Aggarwal, Ashmit Verma, Absarul Haque, Manish Tripathi

School of Medicine Publications and Presentations

Background: The whole of humanity has suffered dire consequences related to the novel coronavirus disease 2019 (COVID-19). Vaccination of the world base population is considered the most promising and challenging approach to achieving herd immunity. As healthcare organizations took on the extensive task of vaccinating the entire U.S. population, digital health companies expanded their automated health platforms in order to help ease the administrative burdens of mass inoculation. Although some software companies offer free applications to large organizations, there are prohibitive costs for small clinics such as the Good Health Associates Clinic (GHAC) for integrating and implementing new self-scheduling software …

Networks Of Necessity: Simulating Covid-19 Mitigation Strategies For Disabled People And Their Caregivers, Thomas E. Valles, Hannah Shoenhard, Joseph Zinski, Sarah Trick, Mason A. Porter, Michael R. Lindstrom

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Abstract

A major strategy to prevent the spread of COVID-19 is the limiting of in-person contacts. However, limiting contacts is impractical or impossible for the many disabled people who do not live in care facilities but still require caregivers to assist them with activities of daily living. We seek to determine which interventions can best prevent infections of disabled people and their caregivers. To accomplish this, we simulate COVID-19 transmission with a compartmental model that includes susceptible, exposed, asymptomatic, symptomatically ill, hospitalized, and removed/recovered individuals. The networks on which we simulate disease spread incorporate heterogeneity in the risk levels of …

Evidence Of Areca Nut Consumption In The United States Mainland: A Cross‑Sectional Study, Irene Tami‑Maury, Suzanne Nethan, Jessy Feng, Hongyu Miao, George Delclos, Ravi Mehrotra

School of Medicine Publications and Presentations

Background

Areca nut (AN) is an addictive substance consumed in the Southeast region and is highly associated with oral premalignant lesions and oral cancer. The impact of AN use in the United States (US) is largely unknown, but the products are readily available and probably used by a significant fraction of Asian immigrants or descendants living in the US. We aimed at assessing AN use prevalence among the Asian community in Houston, Texas.

Methods

A cross-sectional questionnaire was used to interview adult individuals (≥ 18 years of age) who self-identified as Asian immigrants or descendants residing in Houston. Means, frequencies, …

An Application Of Matrices To The Spread Of The Covid 19, Selena Suarez

Theses and Dissertations

We represented a restaurant seating arrangement using matrices by using 0 entry for someone without covid and 1 entry for someone with covid. Using the matrices we found the best seating arrangements to lessen the spread of covid. We also investigated if there was a factor needed to create a formula that could calculate the matrix that shows who would be affected with covid with each seating arrangement. However, there did not seem to be a clear pattern within the factors. Aside from covid applications, we also investigated the symmetries in seating arrangements and the possible combinations with these arrangements …

The Texas Community-Engagement Research Alliance Against Covid-19 In Disproportionately Affected Communities (Tx Ceal) Consortium, Rebecca A. Seguin-Fowler, Chris Amos, Bettina M. Beech, Robert L. Ferrer, Lorna Mcneill, Jasmine J. Opusunju, Emily Spence, Erika L. Thompson, Luis R. Torres-Hostos, Jamboor K. Vishwanatha

School of Social Work Faculty Publications and Presentations

The coronavirus disease 2019 (COVID-19) pandemic requires urgent implementation of effective community-engaged strategies to enhance education, awareness, and inclusion of underserved communities in prevention, mitigation, and treatment efforts. The Texas Community-Engagement Alliance Consortium was established with support from the United States’ National Institutes of Health (NIH) to conduct community-engaged projects in selected geographic locations with a high proportion of medically underserved minority groups with a disproportionate burden of COVID-19 disease and hospitalizations. The purpose of this paper is to describe the development of the Consortium. The Consortium organized seven projects with focused activities to address COVID-19 clinical and vaccine trials …

Evaluating The Dissemination And Implementation Of A Community Health Worker-Based Community Wide Campaign To Improve Fruit And Vegetable Intake And Physical Activity Among Latinos Along The U.S.-Mexico Border, Paul Gerardo Yeh, Belinda M. Reininger, Lisa A. Mitchell-Bennett, Minjae Lee, Tianlin Xu, Amanda C. Davé, Soo Kyung Park, Alma G. Ochoa-Del Toro

Physician Assistant Studies Faculty Publications and Presentations

This study evaluated the dissemination and implementation of a culturally tailored community-wide campaign (CWC), Tu Salud ¡Si Cuenta! (TSSC), to augment fruit and vegetable (FV) consumption and physical activity (PA) engagement among low-income Latinos of Mexican descent living along the U.S.-Mexico Border in Texas. TSSC used longitudinal community health worker (CHW) home visits as a core vehicle to enact positive change across all socioecological levels to induce behavioral change. TSSC’s reach, effectiveness, adoption, implementation, and maintenance (RE-AIM) was examined. A dietary questionnaire and the Godin-Shepherd Exercise Questionnaire measured program effectiveness on mean daily FV consumption and weekly PA engagement, respectively. …

Clinicians' Perceptions Of The Health Status Of Formerly Detained Immigrants, Kathryn Hampton, Ranit Mishori, Marsha Griffin, Claire Hillier, Elizabeth Pirrotta, Nancy E. Wang

School of Medicine Publications and Presentations

Background: In the past decade, the U.S. immigration detention system regularly detained more than 30,000 people per day; in 2019 prior to the pandemic, the daily detention population exceeded 52,000 people. Inhumane detention conditions have been documented by internal government watchdogs, and news media and human rights groups who have observed over-crowding, poor hygiene and sanitation and poor and delayed medical care, as well as verbal, physical and sexual abuse.

Methods: This study surveyed health professionals across the United States who had provided care for immigrants who were recently released from immigration detention to assess clinician perceptions about the adverse …

Breakthrough Medicines During The Covid-19 Pandemic Era, Eswara Naga Hanuma Kumar Ghali, Vijian Dhevan, Shravan K. Narmala, Meena Jaggi, Subhash C. Chauhan, Murali M. Yallapu

School of Medicine Publications and Presentations

No abstract provided.

Photography: A Culturally Sensitive Bereavement Aid?, Rebecca M. Reséndiz Rodriguez

School of Medicine Publications and Presentations

No abstract provided.

The Ctsa University Of Texas Health Science Center (Uthsc) Northeast—Tyler And Rio Grande Valley Success Story: How Rural, Underserved Academic Communities Rapidly Built A Robust Engine For Collaborative Covid-19 Clinical Research, Steven Idell, David D. Mcpherson, Jessica Martin, Andrew N. Dentino, Luis Ostrosky- Zeichner, Julia V. Philley, Paul Mcgaha, Megan Devine, Jacqueline Bronicki, Daniel D. Karp

School of Medicine Publications and Presentations

In 2018, The University of Texas Health Science Center– Tyler and University of Texas Rio Grande Valley were invited to develop clinical research units for an existing Clinical and Translational Science Award (CTSA) consortium with the objective to equip medically underserved, economically disadvantaged communities and subsequently to deploy COVID-19 clinical trials in response to a public health emergency.

In Silico Cd4 + T-Cell Multiepitope Prediction And Hla Distribution Analysis For Marburg Virus—A Strategy For Vaccine Designing, Anupam Dhasmana, Swati Dhasmana, Ahmad Alsulimani, Sudhir Kotnala, Vivek Kumar Kashyap, Shafiul Haque, Meena Jaggi, Murali M. Yallapu, Subhash C. Chauhan

School of Medicine Publications and Presentations

Marburg, a RNA virus (MRV), is responsible for causing hemorrhagic fever that affects humans and non-human primates. World Health Organization (WHO), National Institutes of Health (NIH) and Centre of Disease Control and Prevention (CDC) considered this as an extremely dangerous virus, thus categorised as risk group 4, category A priority pathogen and category “A” bioterrorism agent, respectively. Despite of all these alarming concerns, no prophylaxis arrangements are available against this virus till date. In fact, the construction of immunogenic vaccine candidates by traditional molecular immunology methods is time consuming and very expensive. Considering these concerns, herein, we have designed CD4 …

Using A Stochastic Continuous-Time Markov Chain Model To Examine Alternative Timing And Duration Of The Covid-19 Lockdown In Kuwait: What Can Be Done Now?, Mustafa Al-Zoughool, Tamer Oraby, Harri Vainio, Janvier Gasana, Joseph C. Longenecker, Walid Al Ali, Mohammad Alseaidan, Susie Elsaadany, Michael G. Tyshenko

School of Mathematical and Statistical Sciences Faculty Publications and Presentations

Background

Kuwait had its first COVID-19 in late February, and until October 6, 2020 it recorded 108,268 cases and 632 deaths. Despite implementing one of the strictest control measures-including a three-week complete lockdown, there was no sign of a declining epidemic curve. The objective of the current analyses is to determine, hypothetically, the optimal timing and duration of a full lockdown in Kuwait that would result in controlling new infections and lead to a substantial reduction in case hospitalizations.

Methods

The analysis was conducted using a stochastic Continuous-Time Markov Chain (CTMC), eight state model that depicts the disease transmission and …

Studying Spread Patterns Of Covid-19 Based On Spatiotemporal Data, Beiyu Lin, Xiaowei Jia, Zhiqian Chen

Computer Science Faculty Publications and Presentations

The current COVID-19 epidemic have transformed every aspect of our lives, especially our behavior and routines. These changes have been drastically impacting the economy in each region, such as local restaurants and transportation systems. With massive amounts of ambient data being collected everywhere, we now can develop innovative algorithms to have a much greater understanding of epidemic spread patterns of COVID-19 based on spatiotemporal data. The findings will open up the possibility to design adaptive planning or scheduling systems that will help preventing the spread of COVID-19 and other infectious diseases.

In this tutorial, we will review the trending state-of-theart …