Digital Commons Network^™

Efficacy And Safety Of Dapagliflozin In Patients Hospitalized With Covid-19 With And Without Type 2 Diabetes: A Prespecified Analysis Of The Dare-19 Randomized Trial, Mohammad Abdel Jawad, Ali Javaheri, Et Al.

2020-Current year OA Pubs

BACKGROUND: Although several previous studies tested SGLT2 inhibitors in the setting of an acute, non-cardiovascular illness, detailed information on their efficacy and safety among participants with and without type 2 diabetes (T2D) from double-blind randomized trials is lacking. In this secondary prespecified analysis of the Dapagliflozin in Respiratory Failure in Patients with COVID-19 (DARE-19) trial, we sought to evaluate the safety and efficacy of initiating dapagliflozin during acute illness with COVID-19 in patients with and without T2D.

METHODS: The DARE-19 trial randomized 1250 patients hospitalized with COVID-19 and cardiometabolic risk factors to dapagliflozin or placebo. T2D was present in 636/1250 …

The Psychological And Social Experiences Of Hospitalized Patients With Covid-19: A Qualitative Study, Fatma Kantaş Yılmaz, Zeynep Koca, Zuhal Kunduracılar

Makara Human Behavior Studies in Asia

Individuals infected with coronavirus disease 2019 (COVID-19) have experienced torrents of problems associated with the pandemic, impairing their health, mental, social, and economic conditions. This study aimed to determine the psychological reactions and emotions of patients with COVID-19 infection and the social consequences during hospitalization. The current study used a qualitative and phenomenological design at a training and research hospital in Istanbul, Turkey. The study sample included 17 patients (41.6 ± 16.5 years) who had been discharged after COVID-19 treatment. The gathered information was classified into two main domains (social and psychological) and relevant themes and subthemes using a content …

Performance Of Cnn And Lstm Model On Covid-19 News Headline Data Classification, Dian Kurniasari, Luthfia Nur Azizah, Purnomo Husnul Khotimah, Warsono

Baghdad Science Journal

During the COVID-19 pandemic, mass media, especially online news portals, have been essential in disseminating health information and governmental policies, serving as the primary reference for the general public. Unfortunately, not all news articles are relevant to COVID-19 case monitoring. Some sources provide information that is less useful for tracking the pandemic's progression. Thus, it is crucial to develop a methodology that allows news articles to effectively aid stakeholders in monitoring COVID-19 developments. This study proposes using Deep Learning (DL) models to classify news headlines for this purpose. The aim is to identify suitable and reliable DL models for classifying …

Qualitative Thematic Analysis Of Crisis Communications From The Digital Pulpits Of Megachurches During Covid-19, Ralph Dustin Henderson

Doctoral Dissertations and Projects

The purpose of this qualitative thematic analysis multi-case study was to explore how secular crisis communication theories were adopted and modified by theological themes in U.S. megachurches during the first six weeks of the COVID-19 pandemic related lockdowns. Image Repair Theory (IRT), Discourse Renewal Theory (DRT), and Rhetorical Arena Theory (RAT) were examined alongside Christian themes (Theodicy, Radical Love, Physical Care, and Nontraditional Stakeholder Scope). Thematic analysis of sermon transcripts from 18 megachurches showed that IRT modified: high-attribution tactics were minimal; denial (via IMRA theodicy) defended the Church Universal (CU); evasion justified Church Local (CL)actions; and offensiveness reduction (esp. Transcendence) …

Effects Of Long Covid On Healthcare Utilization, Michael Gottlieb, Erica S. Spatz, Huihui Yu, Imtiaz Ebna Mannan, Michelle Santangelo, Caitlin Malicki, Nicole L. Gentile, Rachel E. Geyer, Alex Charlton, Jonathan W. Dyal, Joann G. Elmore, Kristyn Gatling, Mandy J. Hill, Juan Carlos C. Montoy, Kelli N. O'Laughlin, Kristin L. Rising, Sharon Saydah, Kari A. Stephens, Ralph C. Wang, Lauren E. Wisk, Arjun K. Venkatesh, Robert A. Weinstein

Jefferson Center for Connected Care Faculty Papers

BACKGROUND: While most research on Long COVID (LC) has focused on symptoms and quality of life, there remains a critical need to better understand the effect of LC on resource utilization. This study sought to determine the type and amount of healthcare utilization among participants with versus without LC.

METHODS: This was a secondary analysis of a prospective, longitudinal, multicenter U.S. study of adult participants with symptomatic COVID-19, confirmed with testing, who completed 3-month post-infection surveys and had electronic health record data for at least 180 days pre- and post-index testing. We excluded participants with any COVID-19 infections within the …

Insights From The Front Line: Uplifting Stories Of The Covid-19 Pandemic Through The Eyes Of The Public Health Workforce In Iowa, Heidi Haines, Amanda Sursely, Hanh Pham, Rylee Beltran, Daniel K. Sewell, Lina Tucker Reinders, Natoshia Askelson, Sarah Dixon, Kaitlin Emrich, Christine Estle, Michelle Lewis, Jimmy Reyes

Faculty Publications

Introduction: SARS-CoV-2 was declared a pandemic in March 2020. Studies have characterized some of the negative impact of the pandemic on public health workers (PHW), but few have explored the strength and coping strategies used. Our study documents the experiences of PHW in Iowa during the pandemic. Methods: We used an innovative mixed methods data collection tool, SenseMaker^® to gather stories from PHW in Iowa between March and July 2022. Participants provided additional data about their story via structured follow-up questions. We conducted descriptive analyses of the quantitative questions. A qualitative thematic and sentiment analysis was applied to all …

Participant Engagement In A National Longitudinal Study Of Covid-19: Insights From The Inspire Study, Kris Pui Kwan Ma, Tracy Stober, Michael Gottlieb, Rachel E. Geyer, Kristin L. Rising, Sharon Saydah, Michelle Santangelo, Kristyn Gatling, Dylan Grau, Ralph C. Wang, Juan Carlos Montoy, Ahamed Idris, Samuel Macdonald, Mandy J. Hill, Ryan Huebinger, Maria G. Prado, Nicole L. Gentile, Erica Spatz, Caitlin Maliki, Jocelyn Dorney, Joann G. Elmore, Michelle L'Hommedieu, Robert A Weinstein, Arjun K. Venkatesh, Kari A. Stephens

Department of Emergency Medicine Faculty Papers

OBJECTIVE: To examine participants' motivations and their experiences throughout a decentralized, longitudinal COVID-19 study in the U.S.

METHODS: We recruited 355 participants from the Innovative Support for Patients with SARS-CoV-2 Infections Registry (INSPIRE) between November 2022 - March 2023 to answer five qualitative survey questions anonymously. We used an inductive content analysis approach to analyze the data.

RESULTS: We identified five key themes from the analysis, which reflected participants' a) motivations to join the study, b) study benefits, c) perceptions of survey questions, d) experiences with the research process, and e) preferences for disseminating research findings. Participants were motivated to …

Iowa Test Scores Before And After Covid-19 In Early Adolescents, Carmel F. W. Ontoy

Doctoral Dissertations and Projects

This paper addresses past research that examined the effects of COVID-19 on academics and presents a study further examining an area of academics before and after COVID-19. Research relating to COVID-19 has varied, studying correlations and effects on factors such as mental health and relationships. Researchers and educators projected various degrees of learning loss, and while some studies have revealed some loss, others have revealed little to no change. Further research is needed to continue developing researchers’ and educators’ understanding of how COVID-19 and the shift to online learning may have been related to learning and academics of young adolescents. …

Leading Through Critical Incidents: A Phenomenological Study Of K–12 School Leaders’ Responses To Critical Incidents, Terry-Ann Griffin

Doctoral Dissertations and Projects

The purpose of this transcendental phenomenological study was to explore how K–12 school leaders respond to critical incidents in schools. A critical incident is any actual or alleged event or situation that creates a significant risk of substantial or severe harm to physical or mental health, safety, or well-being. The study focused on three major critical incidents: school shootings/gun violence, the COVID-19 pandemic, and racial unrest. The research was guided by Bandura’s Social Cognitive Theory, which explains human behavior through reciprocal interactions between personal, environmental, and behavioral factors. The central research question was: How do K–12 school leaders respond to …

Impact Of Sars-Cov-2 On Healthcare And Essential Workers: A Longitudinal Study Of Promis-29 Outcomes, Jocelyn Dorney, Imtiaz Ebna Mannan, Caitlin Malicki, Lauren E. Wisk, Joann Elmore, Kelli N. O'Laughlin, Dana Morse, Kristyn Gatling, Michael Gottlieb, Michelle Santangelo, Michelle L'Hommedieu, Nicole L. Gentile, Sharon Saydah, Mandy J. Hill, Ryan Huebinger, Katherine Riley Martin, Ahamed H. Idris, Efrat Kean, Kevin Schaeffer, Robert M. Rodriguez, Robert A. Weinstein, Erica S. Spatz, Inspire Group

Department of Emergency Medicine Faculty Papers

IMPORTANCE: The mandatory service of essential workers during the COVID-19 pandemic was associated with high job stress, increased SARS-CoV-2 exposure, and limited time for recovery following infection. Understanding outcomes for frontline workers can inform planning for future pandemics.

OBJECTIVE: To compare patient-reported outcomes by employment type and SARS-CoV-2 status.

DESIGN: Data from the INSPIRE registry, which enrolled COVID-positive and COVID-negative adults between 12/7/2020-8/29/2022 was analyzed. Patient-reported outcomes were collected quarterly over 18 months.

SETTING: Participants were recruited across eight US sites.

PARTICIPANTS: Employed INSPIRE participants who completed a short (3-month) and long-term (12-18 month) survey.

EXPOSURE: SARS-CoV-2 index status and …

Enhanced Restoration Of Covid-19 Ct Scan Images Utilizing Advanced Wiener Filtering Techniques, Warqaa Shaher Alazawee, Marwa Subhi Ibrahim, Raghda Salam Al Mahdawi, Ali Albu-Rghaif, Ahmed Sabri Altaie

Iraqi Journal for Computer Science and Mathematics

COVID-19, caused by the SARS-CoV-2 virus, was declared a global pandemic by the World Health Organization (WHO) and rapidly spread worldwide from late 2019. While Reverse Transcription Polymerase Chain Reaction (RT-PCR) is the primary diagnostic tool, its sensitivity ranges from only 60% to 70%, leading to false negatives. Computed Tomography (CT) imaging has emerged as a valuable alternative for accurate diagnosis; however, the quality of CT images is often degraded by motion-induced blur and additive noise, particularly in children, individuals with mental health conditions, or those with phobias of CT scans. This study aims to enhance COVID-19 CT image quality …

Development And Transition In Crisis: The Impact Of The Covid-19 Pandemic On Division I College Athletes, Grace Kazmierski-Davie, Khalid Ballouli

Journal of Athlete Development and Experience

The aim of this study is to explore how Division I college athletes made meaning of their experiences during the onset of the COVID-19 pandemic in spring 2020. Though existing literature details various athlete transitions, there is limited knowledge about how athletes navigate unprecedented disruptions like a global pandemic. This qualitative study employed semi-structured interviews to gather in-depth data. The study included a diverse sample of 19 college athletes, ranging from freshmen to seniors, representing various sports and academic levels. Findings revealed that athletes employed diverse strategies to maintain readiness and mental sharpness, reflecting both proactive and reactive coping mechanisms. …

Full Issue: The International Undergraduate Journal Of Health Sciences, Volume 5, Issue 1, July 2025

International Undergraduate Journal of Health Sciences

Full Issue: The International Undergraduate Journal of Health Sciences, Volume 5, Issue 1, July 2025.

Concurrent Dermatological Manifestations, Covid-19 Infection, And Mds/Rcmd-Rs: A Unique Case Report, Amenah S. Abdulkareem, Qutaiba M. Alawaad, Asaad Khalaf

Iraqi National Journal of Medicine

A 24-year-old male with refractory cytopenia with multilineage dysplasia and ring sideroblasts (MDS/RCMD-RS) who developed severe dermatological manifestations concurrent with COVID-19 infection. The patient exhibited complex vasculitic and purpuric skin lesions, which were hypothesized to result from COVID-19-induced endothelitis and vasculitis, exacerbated by underlying immune dysfunction from MDS. Despite treatment with EPO therapy, cyclosporin, and supportive care, the patient's condition deteriorated rapidly, leading to fatal respiratory failure. The report underscores the interplay between hematologic malignancies, immune dysregulation, and COVID-19, highlighting the potential for exacerbated dermatological and systemic complications in such patients. This case emphasizes the need for heightened vigilance and …

Mothers’ Plan To Protect Their Children From Covid-19 And Other Viral Illnesses, Miami Kadhum Yossif, Rehab Abdulwehab Jaafer

Iraqi National Journal of Medicine

Background: Mothers play a critical role in safeguarding the health and well-being of their children—a vulnerable population—particularly during outbreaks of infectious diseases. Aim: This study investigated the strategies employed by mothers to protect their children from COVID-19 and other viral illnesses. Methods: A cross-sectional study was conducted at the outpatient pediatric clinics of Basra Maternity and Children Hospital and Almawani Teaching Hospital, 118 mothers were enrolled from diverse backgrounds. Data was collected through structured interviews and a standardized questionnaire designed to assess maternal practices, attitudes, and experiences concerning the protection of their children. The key areas explored included hygiene practices, …

The Effects Of A Mindfulness-Based Intervention On Depression And Anxiety In The Long-Covid Population, Rachel Welbel, Elizabeth Rutha, Jeffrey Ording, Douglas Wang, Jana Hirschtick

Journal of Patient-Centered Research and Reviews

Long-COVID is a complicated, post-viral syndrome involving multiple body systems and can present with neuropsychiatric symptoms. Little has been reported about the neuropsychiatric symptoms of long-COVID, and validated treatments do not yet exist. There is prior evidence that mindfulnessbased strategies have been helpful for those with chronic illnesses; shown significant decreases in anxiety, stress, and depression; and enhanced quality of life. In this study, we report on the utility of a mindfulness-based intervention on levels of anxiety and depression in a long-COVID population. Our hospital system founded both a “Covid Recovery Clinic” (CRC) and a “Post-COVID Resilience Program” (PCRP). The …

Abstracts From The 2025 Health Care Systems Research Network (Hcsrn) Annual Conference, St. Louis, Missouri, Health Care Systems Research Network

Journal of Patient-Centered Research and Reviews

The Health Care Systems Research Network (HCSRN) comprises 19 learning health systems with integrated care delivery and embedded research units. The network’s annual conference serves as a forum for research teams from member institutions to disseminate project findings, explore scientific collaborations, and share insights about population-based research practices that can measurably improve health and health care for all. The theme of this year’s conference was “Optimizing Collaborations to Advance Health in a Dynamic Research Landscape.” Abstracts presented at HCSRN 2025 are published in this issue supplement of the Journal of Patient-Centered Research and Reviews, the journal of record for …

The Current And Future Burden Of Long Covid In The United States, Sarah M Bartsch, Kevin L Chin, Ulrich Strych, Danielle C John, Tej D Shah, Maria Elena Bottazzi, Kelly J O'Shea, Mckaylee Robertson, Colleen Weatherwax, Jessie Heneghan, Marie F Martinez, Allan Ciciriello, Sarah Kulkarni, Kavya Velmurugan, Alexis Dibbs, Sheryl A Scannell, Yanhan Shen, Denis Nash, Peter J Hotez, Bruce Y Lee

Faculty, Staff and Students Publications

Background: Long coronavirus disease (COVID), which affects an estimated 44.69-48.04 million people in the United States, is an ongoing public health concern that will persist as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) continues to spread.

Methods: We developed a computational simulation model representing the clinical course, health effects, and associated costs of a person with long COVID.

Results: Simulations show that the average total cost of a long COVID case can range from $5084-$11 646 (assuming symptoms only last 1 year) with 92.5%-95.2% of these costs being productivity losses. Therefore, the current number of long COVID cases could cost …

Molecular Landscape Of Respiratory Infection: A Large-Scale, Multi-Centre Blood Transcriptome Dataset., Tracy Chew, Tiana M Pelaia, Amy L Phu, Sally Teoh, Ya Wang, Nandan Deshpande, Karan Kim, Velma Herwanto, Gunawan, Thomas Karvunidis, Yoann Zerbib, Kirsty R Short, Stephen Macdonald, Irani Thevarajan, Darawan Rinchai, Win Sen Kuan, Ben Knippenberg, Jonathan Iredell, Philip N Britton, Owen Hutchings, Warwick J Britton, John-Sebastian Eden, Sam Orde, Benjamin Tang, Anthony Mclean, Damien Chaussabel, Klaus Schughart, Maryam Shojaei

Faculty Research 2025

Respiratory infections pose significant challenges to global health, impacting millions of individuals annually. Understanding the molecular mechanisms underlying the pathogenicity of these infections is crucial for developing effective interventions. RNA sequencing provides insights into a patient's global transcriptome changes, facilitating the identification of host gene signatures in response to infection and potential therapeutic targets. Here we present an extensive whole blood transcriptome dataset from a demographically diverse cohort of 502 patients with infections including COVID-19, seasonal coronavirus, influenza A or influenza B, sepsis, septic shock, and co-infections (Viral/Viral, Bacterial/Viral, Bacterial/Viral/Fungal, Viral/Fungal, Viral/ Viral/Fungal). The cohort size and depth of data …

Maslow Meets Healthcare: Optimizing Cna Training And Well-Being Through Hierarchical Needs During Covid-19, Jose D. Martinez Herrera

Online Journal for Workforce Education and Development

This study investigates the relationship between motivation, as defined by Maslow’s Hierarchy of Needs, and the performance of Certified Nurse Aides (CNAs) on the Illinois Nurse Aide Competency Evaluation Exam (INACE), with a focus on the impact of gender and motivation during the COVID-19 pandemic. CNAs must meet stringent certification standards, but recent declines in enrollment and increased demands on healthcare workers, exacerbated by the pandemic, necessitate a deeper exploration of factors influencing their success. This research employs a quantitative, non-experimental correlational design, analyzing data from 411 CNA students sampled from community colleges in Illinois. The study examines motivation across …

Impact Of Telehealth On Outcomes In Daily Practice, Shannon Stuebs

Theses and Dissertations

While telepsychology has existed in various forms for years and has been researched since the 1960s (Abrams, 2020), it was not until the COVID-19 pandemic that telepsychology started to be widely used. Prior to the COVID-19 pandemic, one study found that psychologists conducted only around 7% of their work via telepsychology, a number that jumped to over 85% in response to COVID-19 (Pierce, Perrin, Tyler, et al., 2020). While there has been a significant increase in the research exploring the efficacy of telehealth since the start of the pandemic (Lin et al., 2022), further research regarding long-term impacts and specific …

High-Affinity Cd16a Polymorphism Associated With Reduced Risk Ofsevere Covid-19, Anita E Qualls, Tasha Tsao, Irene Lui, Shion A Lim, Yapeng Su, Ernie Chen, Dylan Duchen, Holden T Maecker, Seunghee Kim-Schulze, Ruth R Montgomery, Florian Krammer, Charles R Langelier, Ofer Levy, Lindsey R Baden, Esther Melamed, Lauren Ir Ehrlich, Grace A Mccomsey, Rafick P Sekaly, Charles B Cairns, Elias K Haddad, Albert C Shaw, David A Hafler, David B Corry, Farrah Kheradmand, Mark A Atkinson, Scott C Brakenridge, Nelson I Agudelo Higuita, Jordan P Metcalf, Catherine L Hough, William B Messer, Bali Pulendran, Kari C Nadeau, Mark M Davis, Ana Fernandez-Sesma, Viviana Simon, Monica Kraft, Christian Bime, Carolyn S Calfee, David J Erle, Joanna Schaenmann, Al Ozonoff, Bjoern Peters, Steven H Kleinstein, Alison D Augustine, Joann Diray-Arce, Patrice M Becker, Nadine Rouphael, Impacc Network, Jason D Goldman, Daniel R Calabrese, James R Heath, James A Wells, Elaine F Reed, Lewis L Lanier, Harry Pickering, Oscar A Aguilar

Faculty, Staff and Students Publications

CD16A is an activating Fc receptor on NK cells that mediates antibody-dependent cellular cytotoxicity (ADCC), a key mechanism in antiviral immunity. However, the role of NK cell-mediated ADCC in SARS-CoV-2 infection remains unclear, particularly whether it limits viral spread and disease severity or contributes to the immunopathogenesis of COVID-19. We hypothesized that the high-affinity CD16AV176 polymorphism influences these outcomes. Using an in vitro reporter system, we demonstrated that CD16AV176 is a more potent and sensitive activator than the common CD16AF176 allele. To assess its clinical relevance, we analyzed 1,027 patients hospitalized with COVID-19 from the Immunophenotyping Assessment in a COVID-19 …

Rapid Access Chest Pain Assessment Clinic: An Australian Virtual Care Experience, Marwan Shawki, Thalys Sampaio Rodrigues, Hussein Al-Fiadh, Karen Sanders Mnursing, Ali H. Al-Fiadh

Journal of the Saudi Heart Association

Background: The Rapid Access Chest Pain Assessment Clinic (RACPAC) streamlines the evaluation of low to intermediate-risk chest pain patients, reducing hospitalisation and healthcare costs. However, there is limited data on the virtual model of care for RACPAC.

Aim: We sought to evaluate the structure, cost-effectiveness, and imaging modalities performance of face-to-face and virtual RACPAC in an Australian setting.

Methods:A retrospective analysis of patients attending the RACPAC within a large Australian quaternary hospital between 2012 and 2021. We described the clinic parameters and imaging modality utilisation with parametric and non-parametric descriptive statics. Patterns of diagnostic modality utilisation were assessed with …

Washu Epigenome Browser Update 2025, Chanrung Seng, Shane Liu, Wenjin Zhang, Xiaoyu Zhuo, Daofeng Li, Ting Wang

2020-Current year OA Pubs

The WashU Epigenome Browser (https://epigenomegateway.wustl.edu/) is a web-based tool for exploring genomic data and providing visualization, investigation, and analysis of epigenomic datasets. Since its 2018 update, the redesigned user interface and newly developed features have enhanced how investigators interact with both the Browser and the extensive genomic data it hosts. The rapid evolution of the JavaScript ecosystem has presented new challenges and opportunities in maintaining and developing the WashU Epigenome Browser. In this update, we present a completely rewritten codebase. This new codebase minimizes the use of external libraries whenever possible, resulting in a significantly smaller code bundle size after …

Diagnosis Of Covid-19 And Viral Pneumonia With Chest X-Ray Images Using Resnet-34, Sudhir Anakal, Krishna Prasad K, Chandrashekhar Uppin, Dileep Kumar M

Iraqi Journal for Computer Science and Mathematics

COVID-19 is a highly contagious viral infection that primarily affects the respiratory system, causing symptoms such as high fever, cough, and severe respiratory distress. Early detection of the disease is of utmost importance to control the spread and severity. Common diagnostic methods include Reverse Transcription Polymerase Chain Reaction (RT-PCR), antigen tests, chest X-rays, and computed tomography (CT) scans. Similarly, viral pneumonia, another severe lung infection, leads to fluid or pus accumulation in the lungs, causing symptoms such as chest pain, fatigue, excessive sweating, and nausea. The elderly and young children are particularly vulnerable to severe complications. Similarly, viral pneumonia, another …

Retracted: A Novel Benchmarking Framework For Selecting The Best Deep Learning Model Diagnosing Covid-19 Based On New Development For Dual Mcdm Methods, Mahmood M. Salih, Yousif Raad Muhsen, M.A. Ahmed, Reem D. Ismael, Moceheb Lazam Shuwandy, Z.T. Al-Qaysi

Iraqi Journal for Computer Science and Mathematics

COVID-19 was diagnosed using deep learning models by a group of studies. Evaluating and benchmarking these models are essential to achieving the most suitable model for diagnosing coronavirus. Objective: In this investigation, we offer an inclusive valuation of several deep learning models to detect the maximum appropriate and active model which gratifies doctors' requirements and assessment criteria. Method: This study combines Fuzzy decision by the opinion score method (FDOSM) and Fuzzy-Weighted Zero-Inconsistency (FWZIC). According to the advantage of Trapezoidal Intuitionistic fuzzy, we developed FWZIC into Trapezoidal Intuitionistic fuzzy named (TrIF-FWZIC) for weighting criteria and FDOSM into Trapezoidal Intuitionistic fuzzy FDOSM …

Covid-19-Related Beliefs And Dietary Behaviors Of American Undergraduate Students Vary By Race Via The Lens Of The Health Belief Model, Doreen Liou, Jong Min Lee

Department of Nutrition and Food Studies Scholarship and Creative Works

The COVID-19 pandemic caused immense physical disruptions, affecting young adults in the U.S. The Health Belief Model is a social psychological framework that predicts the likelihood of adopting health behavior. The purpose of this research is to investigate COVID-19-related health beliefs and dietary behaviors among undergraduate students during the pandemic. Using convenience sampling, a cross-sectional survey was completed by 304 individuals at a New Jersey state university. Survey data included the frequency of COVID-19 prevention behaviors (e.g., wearing an indoor mask, handwashing), and consumption of fruit and vegetables. The Health Belief Model constructs measured perceived susceptibility to COVID-19, severity, benefits, …

The Influence Of Human Presence And Footprint On Animal Space Use In Us National Parks, Kaitlyn M. Gaynor, Forest P. Hayes, Kezia Manlove, Nathan Galloway, John F. Benson, Michael J. Cherry, Rolf O. Peterson, Sarah Hoy, John Vucetich, Et Al.

Michigan Tech Publications

Given the importance of protected areas for biodiversity, the growth of visitation to many areas has raised concerns about the effects of humans on wildlife. In 2020, the COVID-19 pandemic led to temporary closure of national parks in the United States, offering a pseudonatural experiment to tease apart the effects of permanent infrastructure and transient human presence on animals. We compiled GPS tracking data from 229 individuals of 10 mammal species in 14 parks and used third-order hierarchical resource selection functions to evaluate the influence of the human footprint on animal space use in 2019 and 2020. Averaged across all …

The Relationship Between The Light And Dark Triads Of Personality, Covid-19 Threat, And Covid-19 Vaccine Status In College Students, Alyssa M. Howard, Terry F. Pettijohn Ii

Psychology

The rapid spread of the COVID-19 pandemic in the United States was due, or at least in part, to the resistance to health guidelines, minimal to no safety measures implemented by nearly half the U.S. citizens, and, to a lesser extent, the initial lack of understanding into the pathogenic mode of transmission. The present study examined links between the Dark (i.e.., narcissism, psychopathy, Machiavellianism) and Light (i.e.., compassion, empathy, altruism) Triad of personality traits, the perceived threat level of COVID-19, and COVID-19 vaccine uptake in an undergraduate college sample (N = 147). The study found no statistically significant differences in …

Gender Differences In The Associations Between Developmental Disabilities And Anxiety And Depression Symptoms Among U.S. Children: Insights From The 2021 National Health Interview Survey, Gloria Wang, Muyiwa Ategbole, Xingguang Luo, Kesheng Wang, Chun Xu

Health & Biomedical Sciences Faculty Publications

Background: Limited research has explored the associations between developmental disabilities and symptoms of anxiety and depression among U.S. children during the COVID-19 pandemic.

Objective: This study investigates the associations between developmental disabilities and symptoms of anxiety and depression among U.S. children and examines whether these associations differ by gender.

Methods: The analysis included 6092 children aged 5-17 from the 2021 National Health Interview Survey (NHIS). Key risk factors for anxiety and depression symptoms included attention-deficit/hyperactivity disorder (ADHD), autism spectrum disorder (ASD), intellectual disability (ID), learning disability (LD), and developmental delay (DD). Weighted multivariable logistic regression (MLR) was conducted to evaluate …