Epidemiology Commons^™

Patient And Provider Experiences With Virtual Care During The Covid-19 Pandemic: A Mixed Methods Study, Mars Zhao, Hisham Elshoni, Jennifer O'Brien, Erin Barbour-Tuck, Mary Ellen Walker, Heather Dyck, Andrea Vasquez, Eric Sy, Angela Baerwald, Clara Michaels, Rejina Kamrul, Olivia Reis, Brenda Schuster, Barb Beaurivage, Adam Clay, Mark Lees, Jonathan Gamble

Patient Experience Journal

The COVID-19 pandemic prompted the rapid uptake of Virtual Care (VC). Positive patient outcomes with VC are previously reported but little is known about the experiences of patients and providers using VC during the pandemic. We aimed to describe patient and primary care provider experiences, satisfaction, perceptions, and attitudes to VC during the COVID-19 pandemic that might explain adoption of VC across the continuum of care and inform sustained uptake. We conducted a sequential explanatory mixed methods study using online surveys and virtual interviews with a convenience sample of primary care providers and patients in a Canadian province (July – …

International Prevalence And Mechanisms Of Sars-Cov-2 In Childhood Arterial Ischemic Stroke During The Covid-19 Pandemic, Lauren A Beslow, Shannon C Agner, Jonathan D Santoro, Dipak Ram, Jenny L Wilson, Dana Harrar, Brian Appavu, Stuart M Fraser, Thomas Rossor, Marcela D Torres, Manoëlle Kossorotoff, Yenny C Zuñiga Zambrano, Marta Hernández-Chávez, Sahar M A Hassanein, Dimitrios Zafeiriou, Michael M Dowling, Ilona Kopyta, Nicholas V Stence, Timothy J Bernard, Nomazulu Dlamini

Faculty, Staff and Student Publications

BACKGROUND: Data from the early pandemic revealed that 0.62% of children hospitalized with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) had an acute arterial ischemic stroke (AIS). In a larger cohort from June 2020 to December 2020, we sought to determine whether our initial point estimate was stable as the pandemic continued and to understand radiographic and laboratory data that may clarify mechanisms of pediatric AIS in the setting of SARS-CoV-2.

METHODS: We surveyed international sites with pediatric stroke expertise to determine numbers of hospitalized SARS-CoV-2 patients <18 >years, numbers of incident AIS cases among children (29 days to <18 >years), frequency …

Covid-19: Perceived Infection Risk And Barriers To Uptake Of Pfizer-Biontech And Moderna Vaccines Among Community Healthcare Workers, Tolulope B Famuyiro, Abayomi Ogunwale, Jude Des Bordes, Mukaila Raji

Faculty, Staff and Student Publications

Background: The health and economic ramifications of the coronavirus pandemic have prompted the need for a timely and effective vaccine development. While the rollout of the COVID-19 vaccine in record time is being hailed as a scientific feat, skepticism about the safety, side effects, and even its long-term effects remain. Acceptance of the vaccine may therefore be a challenge among healthcare workers (HCWs), whose role is considered a proxy to determining the COVID-19 vaccine uptake response by the general population.

Methods: In December 2020, prior to the arrival and receipt of the Pfizer-BioNTech and Moderna COVID-19 vaccine, we conducted a …

Implementation Of Multi-Level Interventions To Mitigate Risk Of Sars-Cov-2 Delta Variant At A Public University In Southern United States, Keena N. Arbuthnot, Rebecca C. Christofferson, Edward J. Trapido, John H. Pardue, John N. Perret, William F. Tate

School of Public Health Faculty Publications

During the coronavirus disease 2019 (COVID-19) pandemic, navigating the implementation of public health measures in a politically charged environment for a large state entity was challenging. However, Louisiana State University (LSU) leadership developed and deployed an effective, multi-layered mitigation plan and successfully opened in-person learning while managing cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) during the fourth surge. We describe the plan to provide a framework for other institutions during this and future responses. The goals were 3-fold: maintain a quality learning environment, mitigate risk to the campus community, and ensure that LSU operations did not contribute to …

Sars-Cov-2 (Covid-19) Vaccine Intentions In Kentucky, Kevin A. Pearce Md, Mph, Emily Messerli Dnp, Aprn, Mary E. Lacy, Brittany L. Smalls, Diane B. Francis, Sukruthi Yerramreddy, Marc Kiviniemi

Journal of Appalachian Health

Background: At the time of our writing, the COVID-19 pandemic continues to cause significant disruption to daily lives. In Kentucky, the burdens from this disease are higher, and vaccination rates for COVID-19 are lower, in comparison to the U.S. as a whole. Understanding vaccine intentions across key subpopulations is critical to increasing vaccination rates.

Purpose: This study explores COVID-19 vaccine intentions in Kentucky across demographic subpopulations and also investigates the influences on vaccine intention of attitudes and beliefs about COVID-19.

Methods: A population-based survey of 1,459 Kentucky adults was conducted between January 26 and March 20, 2021, with over-sampling of …

What About Anosmia From Covid-19 ?, Sharanya S E Santhi, Sara Elnour, Steven B Lippmann

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Drug-Target Network Study Reveals The Core Target-Protein Interactions Of Various Covid-19 Treatments, Yulin Dai, Hui Yu, Qiheng Yan, Bingrui Li, Andi Liu, Wendao Liu, Xiaoqian Jiang, Yejin Kim, Yan Guo, Zhongming Zhao

Faculty, Staff and Student Publications

The coronavirus disease 2019 (COVID-19) pandemic has caused a dramatic loss of human life and devastated the worldwide economy. Numerous efforts have been made to mitigate COVID-19 symptoms and reduce the death rate. We conducted literature mining of more than 250 thousand published works and curated the 174 most widely used COVID-19 medications. Overlaid with the human protein-protein interaction (PPI) network, we used Steiner tree analysis to extract a core subnetwork that grew from the pharmacological targets of ten credible drugs ascertained by the CTD database. The resultant core subnetwork consisted of 34 interconnected genes, which were associated with 36 …

Covid-Associated Avascular Necrosis Of The Maxilla-A Rare, New Side Effect Of Covid-19, Victoria A Mañón, Steven Balandran, Simon Young, Mark Wong, James C Melville

Faculty, Staff and Student Publications

Purpose: The purpose of this article is to present an interesting, rare case of a patient who experienced avascular necrosis of the maxilla associated with COVID-19 infection.

Methods and results: Our team retrospectively evaluated this patient's chart after completion of surgical management. The patient is a 72-year-old male who presented to the University of Texas Health Science Center at Houston for surgical management of his infarcted maxilla, which developed as a sequela of infection with COVID-19. A literature review was completed using PubMed. Twenty-five articles are reviewed and discussed.

Conclusions: Infection with COVID-19 confers a hypercoagulable state in patients, leading …

Third Year Medical Student Knowledge Gaps After A Virtual Surgical Rotation, Sophia Hernandez, Siyou Song, Ogonna N Nnamani Silva, Chelsie Anderson, Alexander S Kim, Andre R Campbell, Edward H Kim, Adnan Alseidi, Elizabeth C Wick, Julie Ann Sosa, Jessica Gosnell, Matthew Y C Lin, Sanziana A Roman

Faculty, Staff and Student Publications

INTRODUCTION: This study describes perceived knowledge gaps of third-year medical students after participating in a virtual surgical didactic rotation (EMLR) and shortened in-person surgery rotation during the COVID-19 Pandemic.

METHODS: Open-ended and Likert questions were administered at the end of the virtual rotation and inperson-surgical rotation to medical students. Three blinded coders identified themes by semantic analysis.

RESULTS: 82 students (51% of all MS3s) participated in the EMLR. Semantic analysis revealed gaps in perioperative management (Post-EMLR:18.4%, Post-Inpatient:26.5%), anatomy (Post-EMLR:8.2%, PostInpatient:26.5%). and surgical skills (Post-EMLR: 43.0%, Post-Inpatient: 44.1%). Students also described gaps related to OR etiquette (Post-EMLR: 12.2%, Post-Inpatient: 8.8%) and …

Breast Cancer Diagnosis And Treatment During The Covid-19 Pandemic In A Nationwide, Insured Population, Jennifer L Caswell-Jin, Maryam N Shafaee, Lan Xiao, Mina Liu, Esther M John, Melissa L Bondy, Allison W Kurian

Center for Medical Ethics and Health Policy Staff Publications

Purpose: The early months of the COVID-19 pandemic led to reduced cancer screenings and delayed cancer surgeries. We used insurance claims data to understand how breast cancer incidence and treatment after diagnosis changed nationwide over the course of the pandemic.

Methods: Using the Optum Research Database from January 2017 to March 2021, including approximately 19 million US adults with commercial health insurance, we identified new breast cancer diagnoses and first treatment after diagnosis. We compared breast cancer incidence and proportion of newly diagnosed patients receiving pre-operative systemic therapy pre-COVID, in the first 2 months of the COVID pandemic and in …

Assessing Covid-19 Booster Hesitancy And Its Correlates: An Early Evidence From India, Geetanjali C. Achrekar, Kavita Batra, Yashashri Urankar, Ravi Batra, Naved Iqbal, Sabiha A. Choudhury, Deepti Hooda, Roohi Khan, Suraj Arora, Aditi Singh, Francesco Chirico, Manoj Sharma

School of Medicine Faculty Research

The emergence of SARS-CoV-2 mutants, waning immunity, and breakthrough infections prompted the use of booster doses of the COVID-19 vaccine to fight against the pandemic. India started booster doses in January 2022 and it is critical to determine the intention of booster dose uptake and its correlates. Therefore, the current cross-sectional study aimed to investigate booster dose acceptability and associated predictors among the Indian population. A convenience sampling technique was utilized to recruit a sample of 687 Indian residents. A 55-item psychometric validated survey tool was used to assess booster dose acceptability, vaccine literacy and vaccine confidence. Univariate, bivariate, and …

Lama Rawat Inap Pasien Terkonfirmasi Covid-19 Di Rumah Sakit Universitas Indonesia Dan Faktor Yang Mempengaruhinya., Rizka Fahmia, Helda Helda

Jurnal Epidemiologi Kesehatan Indonesia

Banyaknya kasus COVID-19 membuat daya tampung fasilitas kesehatan hampir tidak mencukupi untuk memberikan pelayanan medis rawat inap yang memadai pada pasien COVID- 19. Studi yang dilakukan di beberapa negara seperti China, Beijing, Vietnam, Amerika Serikat melaporkan durasi dan faktor risiko rawat inap pasien COVID-19 yang bervariasi. Namun, saat ini penelitian tentang durasi dan faktor risiko lama rawat inap pasien COVID-19 di Indonesia masih terbatas. Penelitian bertujuan mengetahui faktor risiko lama rawat inap pasien terkonfirmasi COVID-19 di Rumah Sakit Universitas Indonesia (RSUI). Desain studi potong lintang dilakukan pada 266 pasien terkonfirmasi COVID-19 yang dirawat inap di RSUI selama Maret sampai dengan …

Treating Cytokine Storm In Patients With Covid-19, Ahmed Abdelhaleem, Deekshitha Turaka, Shameera Shaik Masthan, Steven B Lippmann

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Book Review: Urban Health | Emerging Public Health Perspectives, Demi Miriam

Journal of Research Initiatives

Book Review

Book Title: Urban Health | Emerging public health perspectives

Editors: Fernandes & Grewal, 2021

Publisher: Global South Strategies

Publication: 02 September 2021

City: Mangalore, India

Total No. of Pages: 341

Price (in INR): 950 (Paperback)

ISBN-13: 978-8195336418

Time-To-Event Modeling For Hospital Length Of Stay Prediction For Covid-19 Patients, Yuxin Wen, Md. Fashiar Rahman, Yan Zhuang, Michael Pokojovy, Honglun Xu, Peter Mccaffrey, Alexander Vo, Eric Walser, Scott Moen, Tzu-Liang Bill Tseng

Engineering Faculty Articles and Research

Providing timely patient care while maintaining optimal resource utilization is one of the central operational challenges hospitals have been facing throughout the pandemic. Hospital length of stay (LOS) is an important indicator of hospital efficiency, quality of patient care, and operational resilience. Numerous researchers have developed regression or classification models to predict LOS. However, conventional models suffer from the lack of capability to make use of typically censored clinical data. We propose to use time-to-event modeling techniques, also known as survival analysis, to predict the LOS for patients based on individualized information collected from multiple sources. The performance of six …

Factors Associated With Covid-19 Vaccine Intentions Among South Carolina Residents, Mufaro Kanyangarara, Lauren Mcabee, Virginie G. Daguise, Melissa Nolan Ph.D., Mph

Faculty Publications

Despite evidence of vaccine safety and efficacy, vaccine hesitancy remains a major global health threat. The COVID-19 vaccine has presented unique vaccine hesitancy concerns compared to parental vaccine hesitancy towards childhood vaccines. South Carolina (SC) is home to a largely conservative population and historically has some of the lowest vaccination coverage rates in the United States of America. The goal of the current study was to identify factors associated with COVID-19 vaccine intentions among SC residents. From November 2020 to September 2021, 300,000 invitations to participate in community testing and complete an online survey were mailed to randomly selected SC …

Case Report: Successful Treatment Of A Child With Covid-19 Reinfection-Induced Fulminant Myocarditis By Cytokine-Adsorbing Oxiris® Hemofilter Continuous Veno-Venous Hemofiltration And Extracorporeal Membrane Oxygenation, Phuc H Phan, Dung T Nguyen, Nam H Dao, Ha T T Nguyen, An V Vu, Son T Hoang, Lam V Nguyen, Tung V Cao, Dien M Tran

Faculty, Staff and Student Publications

BACKGROUND: Indirect cardiomyocyte damage-related hyperinflammatory response is one of the key mechanisms in COVID-19-induced fulminant myocarditis. In addition to the clinical benefit of using cytokines absorption hemofiltration, the effectiveness of instituting veno-arterial extracorporeal membrane oxygenation (VA-ECMO) support for cardiac compromise has been reported. However, current literature enunciates a paucity of available data on the effectiveness of these novel modalities.

CASE PRESENTATION: We reported a 9-year-old boy with recurrent COVID-19 infection-causing fulminant myocarditis, who was treated successfully by using novel modalities of

CONCLUSION: We conclude that the novel highly-absorptive hemofilter CVVH and VA-ECMO may be effective treatment modalities in managing SARS-CoV-2-induced …

Unpacking Misinfodemic During A Global Health Crisis: A Qualitative Inquiry Of Psychosocial Characteristics In Social Media Interactions, Sofia M Olivares, Sahiti Myneni

Faculty, Staff and Student Publications

The pervasiveness of health information in social media has led to a modern misinformation crisis, also known as a misinfodemic. Misinfodemics have upended public health activities as clearly evident during the COVID-19 pandemic. The objective of this study is to characterize social media content and information sources using theory-driven health behavior and psychology constructs to better understand the motifs of misinformation and their role in the dissemination of health (mis)information in Twitter posts. We analyzed 1,400 randomly selected tweets related to COVID-19 to ascertain four important variables, what is the tweet about (content), how is it structured (linguistic features), who …

Latent Linguistic Motifs In Social Media Postings Resisting Covid-19 Misinformation, Tavleen Singh, Sofia Olivares, Sahiti Myneni

Faculty, Staff and Student Publications

Social media has become a predominant source of information for many health care consumers. However, false and misleading information is a pervasive problem in this context. Specifically, health-related misinformation has become a significant public health challenge, impeding the effectiveness of public health awareness campaigns and resulting in suboptimal responsiveness to the communication of legitimate risk-related information. Little is known about the mechanisms driving the seeding and spreading of such information. In this paper, we specifically examine COVID-19 tweets which attempt to correct misinformation. We employ a mixed-methods approach comprising qualitative coding, deep learning classification, and computerized text analysis to understand …

On The Front Lines Of The Covid-19 Pandemic: Occupational Experiences Of The Intimate Partner Violence And Sexual Assault Workforce, Leila Wood, Rachel Voth Schrag, Elizabeth Baumler, Dixie Hairston, Shannon Guillot-Wright, Elizabeth Torres, Jeff R Temple

Faculty, Staff and Student Publications

In the face of increasing risk for intimate partner violence (IPV) and sexual assault during the COVID-19 pandemic, there is an urgent need to understand the experiences of the workforce providing support to survivors, as well as the evolving service delivery methods, shifting safety planning approaches, and occupational stress of frontline workers. We addressed this gap by conducting an online survey of members of IPV and sexual assault workforce using a broad, web-based recruitment strategy. In total, 352 staff from 24 states participated. We collaborated with practitioner networks and anti-violence coalitions to develop the brief survey, which included questions about …

Part I Antimicrobial Resistance: Bacterial Pathogens Of Dermatologic Significance And Implications Of Rising Resistance, Saira George, Fiorinda F Muhaj, Celine D Nguyen, Stephen K Tyring

Faculty, Staff and Student Publications

Although the COVID-19 pandemic has been the defining global health crisis of our time, public health officials have been sounding the alarm of another ominous threat for years: an impending antimicrobial resistance crisis. In dermatology, antibiotics are often used for prolonged courses in the treatment of skin and soft tissue infections and common inflammatory skin conditions, increasing the risk of microbiome alteration and antibiotic-related adverse effects, all while exerting consequential selective pressures on both pathogenic and bystander bacteria. In this review, we hope to raise awareness of the crisis of antimicrobial resistance and review resistance concerns related to dermatology-relevant bacterial …

Pneumothorax And Pneumomediastinum In Covid-19: A Case Series, Stephan Reyes, Brad Roche, Farah Kazzaz, Daniel Ocazionez, Aditya P Lal, Rosa M Estrada-Y-Martin, Sujith V Cherian

Faculty, Staff and Student Publications

COVID- 19 has become a major pandemic affecting more than 11 million people worldwide. Common radiological manifestations of COVID-19 include peripheral based ground-glass or consolidative opacities; however, pneumothorax and pneumo-mediastinum are very rare manifestations; even more so within patients not on mechanical ventilation. We present a case series of 5 patients with COVID-19 who either presented with or developed spontaneous pneumothorax or pneumo-mediastinum within the course of hospitalization. With the exception of one patient, all other patients developed pneumothorax as a late manifestation in their illness; more than 10 days after initial symptom onset in COVID-19. From within this case …

A Multi-Task Gaussian Process Self-Attention Neural Network For Real-Time Prediction Of The Need For Mechanical Ventilators In Covid-19 Patients, Kai Zhang, Siddharth Karanth, Bela Patel, Robert Murphy, Xiaoqian Jiang

Faculty, Staff and Student Publications

OBJECTIVE: The Coronavirus Disease 2019 (COVID-19) pandemic has overwhelmed the capacity of healthcare resources and posed a challenge for worldwide hospitals. The ability to distinguish potentially deteriorating patients from the rest helps facilitate reasonable allocation of medical resources, such as ventilators, hospital beds, and human resources. The real-time accurate prediction of a patient's risk scores could also help physicians to provide earlier respiratory support for the patient and reduce the risk of mortality.

METHODS: We propose a robust real-time prediction model for the in-hospital COVID-19 patients' probability of requiring mechanical ventilation (MV). The end-to-end neural network model incorporates the Multi-task …

Knowledge, Attitudes, And Covid-19 Prevention Practices Of Healthcare Workers In Indonesia: A Mobile-Based Cross-Sectional Survey, Besral Besral, Zulvi Wiyanti, Dion Zein Nurizin, Milla Herdayati, R Sutiawan, Martya Rahmaniati, Popy Yuniar

Kesmas

Knowledge of disease can affect attitudes and prevention practices, and wrong attitudes and practices can directly increase the risk of disease infection. This study aimed to describe the knowledge, attitudes, and COVID-19 prevention practice of healthcare workers in Indonesia and factors associated with prevention practices. A mobile-based cross-sectional survey was conducted in August 2020 with 254 healthcare workers in Indonesia. The self-administered questionnaire consisted of four parts: 1) sociodemographic information, 2) knowledge of COVID-19, 3) attitudes and anxiety toward COVID-19, and 4) COVID-19 prevention practices. The results indicated that healthcare workers in Indonesia had excellent knowledge and positive attitudes about …

The Influence Of Intrapersonal Constraints On Travel Intention Of People At High Risk From Covid-19 During The New Normal, Dyah Widiyastuti, Ikasari Kusuma Wardhani

Kesmas

Due to the COVID-19 pandemic, tourism constraints have created a challenge for inclusive tourism, especially for older people and people with comorbidities. This study examined intrapersonal constraints’ effect on the travel intentions of people facing fewer opportunities for tourism due to the COVID-19 pandemic, which could disrupt their well-being fulfillment. The data were collected through an online survey of Jakarta citizens aged 46 years and older from the end of June to September 2021, and a total of 337 responses were accumulated. This study applied partial least square structural equation modeling to test the moderating effect of intrapersonal constraints toward …

Zoom Fatigue During The Covid-19 Pandemic: Is It Real?, Putri Winda Lestari, Adhila Fayasari

Kesmas

The coronavirus disease 2019 (COVID-19) pandemic has caused drastic changes to social lives moreover the activities done outside, such as work and school. The policy of large-scale social restrictions (LSRR)/Pembatasan Sosial Berskala Besar (PSBB), which makes people stay at home, also plays an important role in changing the face-to-face activity online. As a solution to the major change, people use video conferencing to keep in touch and still feel like doing "offline" activities. The increasing use of video conferencing has raised concerns about the resulting fatigue, termed "Zoom fatigue." This study aimed to describe Zoom fatigue during the COVID-19 pandemic …

Diabetes Mellitus And Mortality Among Covid-19 Patients In Jakarta, March-August 2020, Endang Widuri Wulandari, Sudarto Rotnoatmodjo, Ngabila Salama

Kesmas

Diabetes mellitus (DM) comorbidity is one of the risk factors for coronavirus disease 2019 (COVID-19) mortality. This study aimed to determine the association of comorbid DM and mortality among COVID-19 confirmed cases in DKI Jakarta Province, controlled with confounding variables from March to August 2020. The study design was a retrospective cohort using cox proportional hazard regression, with a total sample of 1,480. The data consisted of 740 COVID-19 cases with and 740 without comorbid DM. The inclusion criteria were COVID-19 confirmed cases with polymerase chain reaction (PCR) laboratory testing reported to the DKI Jakarta Provincial Department of Health, and …

Covid-19 Case Complicated With Organizing Pneumonia And Pneumothorax: Correspondence, Hammad A. Bhatti, Minh Q. Ho

The University of Louisville Journal of Respiratory Infections

No abstract provided.

Cellular Automata: The Mathematical Theory Behind The Spread Of Covid-19 And Prediction Of Future Spread, Alison Drumheller

Undergraduate Theses and Capstone Projects

This thesis seeks to analyze the spread of the original COVID-19 strain and develop a mathematical model to predict the chances of being infected by this disease using a number of variables. This model is based on the mathematical theory of cellular automata, otherwise known as the theory of spread. The research uses real world data of COVID-19 which includes infection rate, death rate, vaccination rate, use of masks, and transmission rates. By using cellular automata, we predict that the more preventative measures an individual puts in place for themselves, the less likely they are to be infected by the …

Shining A Light On Marginal Food Insecurity In An Understudied Population Comment, Angela D. Liese

Faculty Publications

No abstract provided.