COVID-19 Commons^™

A Longitudinal Analysis Of Hospital Consumer Evaluation In Virginia, Tulay Akmandor Inac

Health Services Research Dissertations

Suboptimal patient experience signals a need to improve clinical efficacy, patient safety, and healthcare quality. The COVID-19 pandemic intensified hospital resource and staffing demands, reducing hospitals’ capacity to invest in patient experience improvement. Prior studies remain limited because many lack longitudinal structure and organized theoretical models, making temporal inference difficult and weakening analyses of patient experience disparities. To address these limitations, this dissertation incorporates three studies examining patient experience and pandemic-related effects.

In state-level markets comparable to Virginia, limited research has examined longitudinal patient experience trends across regional hospital systems using HCAHPS scores. The first study uses descriptive trend analysis …

The Association Between Prenatal Nicotine Exposure And Postpartum Depression, Reem Ali Sharaf-Alddin

Health Services Research Dissertations

Postpartum Depression (PPD) is the most common mental health complication of childbirth with 17% of women globally and 13% in the US experience PPD. The pathophysiology of PPD is not yet fully understood, with psycho-social, biological, and environmental factors, interplaying together and predisposing to PPD. One key modifiable risk factor is prenatal exposure to nicotine (PEN) including Active Tobacco Smoking (ATS), Secondhand Smoking (SHS), and Electronic Nicotine Products (ENPs). Several studies investigated the association between prenatal ATS or SHS and PPD, however the findings were inconclusive. There is a lack of studies that assessed the overall PEN, and none of …

Nirmatrelvir-Ritonavir Targeting Viral Persistence In Post-Covid-19 Condition (Long Covid) In The Usa (Recover-Vital): A Randomized, Double-Blind, Placebo Controlled, Phase 2 Trial, Lindsey R. Baden, Nirav S. Shah, Sean T. H. Liu, Jonathan Cohen, James May, Andre Kumar, Grace A. Mccomsey, Peter Chen, Michelle Floris-Moore, Nora G. Singer, Inti Fernandez, Alex J. Slandzicki, Zanthia Wiley, Alexandra Kadl, David A. Kaminsky, Harvey Hsu, Tiffany A. Walker, Aluko A. Hope, Luis Ostrosky-Zeichner, Jason D. Goldman, Michael J. Peluso, Thomas F. Patterson, Sairam Parthasarathy, Janet M. Mullington, Paul Bolin Jr., Sarah E. Jolley, Jerry A. Krishnan, Mario Castro, Sally L. Hodder, Priscilla Pemu, Helen Y. Chu, Michael G. Risbano, Maya R. Jerath, Eleftherios Mylonakis, Ryan T. Hurt, Radica Alicic, Nabila S. Azad, Marc A. Sala, Michelle S. Harkins, Jeffrey Parsonnet, Neil Stafford, Philip Robinson, Sabiha Hussain, Xian Qiao, Sophie Two Hawk, Michael Lillestol, Nathan Erdmann, Kelly A. Gebo, Praveen Sudhindra, Joseph Sassine, Gailen D. Marshall, Tulika Chatterjee, Caryn G. Morse, Eyal Kedar, William W. Stringer, Jennifer A. Frontera, Michael Jordon, Caitlin Blaskewicz, Jorge L. Santana, Rachel A. Foot, Cherry Wongtrakool, Matthew William Mccarthy, Alem Mehari, Arch Amon, Alison K. Cohen, Nita Jain, Christine Maughan, Doug Lindsay, Rachel Olson, Samuel Broderick, Pearl Rowe, Sean M. O'Brien, David R. Walt, Bruce D. Levy, Leonard A. Jason, Phillip A. Low, Cyndya A. Shibao, Barry Make, Lucinda Bateman, Susan Redline, David Knopman, Adrian F. Hernandez, Tracy L. Nolen, Craig Reist, Lisa Berdan, Richard Whitley, Kanecia O. Zimmerman, For The Recover-Vital Clinical Trial Group

Department of Medicine Faculty Publications

Background

Post-acute sequelae of SARS-CoV-2 infection, more commonly known as long COVID, has emerged as a major health problem. The pathogenesis of long COVID is unknown, but among the leading hypotheses is viral persistence. We aimed to investigate whether the use of the SARS-CoV-2 antiviral nirmatrelvir-ritonavir improved long COVID symptoms.

Methods

We conducted a double-blind, placebo-controlled, randomised trial involving adults who had developed persistent symptoms (≥12 weeks) associated with three major symptom phenotypes (cognitive, autonomic, or exercise) after acute SARS-CoV-2 infection at 69 US sites. Participants were eligible if they were 18 years or older and had a previous suspected, …

Politics In Public Health: Growing Partisan Divides In Covid-19 Vaccine Attitudes And Uptake Post-2021 Presidential Inauguration, Hongbin Fan, Zhongliang Zhou, Guanping Liu, Chi Shen, Qi Zhang

Epidemiology, Biostatistics, & Environmental Health Faculty Publications

Objectives: To investigate whether the 2021 U.S. presidential inauguration contributed to a widening of partisan divides in COVID-19 vaccine attitudes and uptake. Methods: We leverage the presidential inauguration as a natural experiment and analyze data from the Household Pulse Survey and CDC vaccination records. Using a difference-in-differences framework with continuous treatment, we examine how the transition differentially affected state-level vaccine refusal rates and county-level vaccination rates, based on varying levels of partisanship as measured by the Trump-Biden vote gap. Results: Following Biden's inauguration, vaccine refusal declined more in pro-Biden states. Distrust in government and vaccines accounted for approximately 80% of …

(Don’T Fear) The Factors: An Item-Level Meta-Analysis Of The Fear Of Covid-19 Scale’S Factor Structure And Measurement Invariance, William P. Jimenez, Asiye Zeytonli, Yasmine Nabulsi, Xiaoxiao Hu

Psychology Faculty Publications

The global COVID-19 pandemic saw marked research and clinical interest in evaluating pandemic-related distress, namely fear and anxiety regarding infection and death. The most widely used and earliest developed measure of COVID-19 distress is Ahorsu et al. (2022) seven-item Fear of COVID-19 Scale (FCV-19S). To investigate the factor structure and measurement equivalence of the FCV-19S, we conducted an item-level meta-analysis synthesizing 1155 effect sizes across k = 55 independent samples comprising N = 71,161 individuals. We found that a two-factor measurement model comprising a four-item Emotional factor and a three-item Psychosomatic factor exhibits better fit than the originally proposed single-factor …

Poisson Regression Model With Application To Wastewater Surveillance Under A Threshold Linear Mixed Model For Covid-19 Sensitivity Rates, Norou Diawara, Hueiwang Anna Jeng, Kyle Curtis, Raul Gonzalez, Nancy Welch, Cynthia Jackson, Rekha Singh, David Jurgens, Sasanka Adikari, Omotomilola Jegede

Mathematics & Statistics Faculty Publications

A Threshold Linear Mixed Model (TLMM) has been developed to identify specific thresholds based on wastewater SARS-CoV-2 viral concentrations, which reflect COVID-19 cases. The thresholds can guide decisions regarding public health responses and prevention measures. To assess the practical application of TLMM, a simple simulation was conducted using a sample size of 100 and 500 replications. The simulation allowed for comparing parameter estimators by assessing bias and standard deviation and the root of the mean square error. The model and estimation procedures were applied to reported wastewater and clinic data to test its application for real-world scenarios. Our results demonstrated …