Digital Commons Network^™

Conscious And Unconscious Bias: The Hidden Pandemic Of Biases In Healthcare Exacerbated By Covid-19, Ibtisam Rauf, Abigail Hartmann, Alexandre Koumtchev, Syed Anjum Khan, Rahul Kashyap

HCA Healthcare Journal of Medicine

Background

There are limited data on unconscious bias in healthcare, but there is consistent evidence that it alters clinical decision-making. COVID-19 exacerbated many pre-existing disparities, and this paper seeks to identify, deconstruct, and propose mitigation strategies for a few of them.

Discussion

Five of the largest disparities amplified by the pandemic are discussed in this paper. Older people, Black people, uninsured people, rural communities, and people with lower education levels have been disproportionally affected in both morbidity and mortality.

Conclusions

The disparities discussed above did not occur in a vacuum but are the result of systemic issues. Equity starts with …

A Qualitative Inquiry On Smokers’ Perceptions Of Smoking Cessation During Covid-19, Sajid Iqbal, Rubina Barolia, Kiran Iftikhar, Pammla Petrucka, Jeniefer Anastasi, Faris Farooq Saeed Khan, Naheed Feroz Ali

School of Nursing & Midwifery

Background: This qualitative exploratory study explores smokers’ perspectives regarding smoking cessation processes amid the COVID-19 pandemic.
Methods: Purposive sampling was employed to conduct semi-structured interviews with cigarette smokers visiting cardiac and pulmonary clinics at a tertiary care hospital in Karachi, Pakistan. Thematic analysis was performed to identify themes from the participants’ responses.
Results: Three themes emerged from the thematic analysis. These were smoking cessation facilitators, smoking cessation barriers, and COVID-19 impacts on smoking cessation. Awareness and education, threat of acquiring health problems, religious beliefs and family or support system behave as smoking cessation facilitators. While, role modeling, associating smoking to …

Karakteristik Epidemiologi Covid-19 Tahun 2020 – 2021: Studi Potong Lintang Di Provinsi Riau, Rajunitrigo Sukirman

Jurnal Epidemiologi Kesehatan Indonesia

Data terkait karakteristik epidemiologi COVID-19 di Indonesia masih langka. Penelitian ini bertujuan untuk menggambarkan epidemiologi COVID-19 berdasarkan dimensi orang, tempat dan waktu. Hasil penelitian ini diharapkan dapat digunakan sebagai dasar upaya intervensi yang lebih optimal dan tepat sasaran. Penelitian cross sectional ini memasukkan seluruh kasus konfirmasi COVID-19 dari sepuluh Kabupaten dan dua Kotamadya di Provinsi Riau dari tanggal 18 Maret 2020 hingga 9 Oktober 2021. Kami menggunakan analisis univariat dan bivariat untuk mendeskripsikan karakteristik epidemiologi COVID- 19. Hasil penelitian ini menunjukkan bahwa dari 122.497 kasus COVID-19, 51,3% kasus adalah perempuan. Median umur 35 tahun (IQR: 24 - 49 tahun), 52,1% …

Covid-19 And Singularity: Can The Philippines Survive Another Existential Threat?, Robert James M. Boyles, Mark Anthony Dacela, Tyrone Renzo Evangelista, Jon Carlos Rodriguez

Asia-Pacific Social Science Review

In general, existential threats are those that may potentially result in the extinction of the entire human species, if not significantly endanger its living population. Among the said threats include, but not limited to, pandemics and the impacts of a technological singularity. As regards pandemics, significant work has already been done on how to mitigate, if not prevent, the aftereffects of this type of disaster. For one, certain problem areas on how to properly manage pandemic responses have already been identified, like the following: (a) not being able to learn from previous experiences, (b) the inability to act on warning …

Bacterial Coinfection In Individual With Covid-19, Haifaa B. Najee

Muthanna Medical Journal

The novel coronavirus infectious disease-2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has traumatized the whole world with the ongoing devastating pandemic. A plethora of microbial domains including viruses (other than SARS-CoV-2), bacteria, archaea and fungi have evolved together, and interact in complex molecular pathogenesis along with SARS-CoV-2. However, the involvement of other microbial co-pathogens and underlying molecular mechanisms leading to extortionate ailment in critically ill COVID-19 patients has yet not been extensively reviewed. Although, the incidence of co-infections could be up to 94.2% in laboratory-confirmed COVID-19 cases, the fate of co-infections among SARS-CoV-2 infected hosts often …

Stigma And Solidarity Among Covid-19 Patients In The Philippines, Jaye Bekema

Asia-Pacific Social Science Review

Pandemic management strategies often reinforce the trope of the uncooperative and disease-spreading poor; they who are to be blamed for transmission and therefore must be subdued to protect the population. Although counternarratives to this proposition seek to explain from the lens of political economy why people who are poor behave the way they do, they do not, at the bottom, assail the central idea that the poor behave in ways inconsistent with the aims of public health. The interrogation of this central idea is what this research aims to contribute towards using original data from interviews with 21 COVID-19 survivors …

Predictors Of Intention To Vaccinate For Covid-19 In The Philippines: Do Trust In Government And Trust In Vaccines Really Matter?, Melvin A. Jabar, Ador R. Torneo, Luis F. Razon, John Benedict Felices, Hazel Ann Marie R. Duya

Asia-Pacific Social Science Review

This paper interrogates the influence of trust in government, trust in vaccines, and access to vaccine-related information as predictors of intention to vaccinate for COVID-19 among Filipinos. It also examines the relationship between social- and personal-related measures and the intention to vaccinate. Data for this article were collected from an online survey involving 1,953 respondents, conducted from July 28 to August 2020 before the trials were completed and emergency use authorizations were issued for any of the currently approved COVID-19 vaccines. Multinomial regression results show that trust in vaccines, sex, income, perceived risk exposure, and perceived health status were significant …

Attitudes Toward Covid-19 Vaccination Among Occupational Therapy Professionals And Students In Early 2021, Stephen A. Cage, Brandon J. Warner, Diana M. Gallegos, Heidi M. Cage, Diane P. Brown Phd, Otr

Internet Journal of Allied Health Sciences and Practice

Purpose: After the widespread transmission of the novel coronavirus that causes COVID-19, the first COVID-19 vaccination received emergency use authorization in the United States in December of 2020. Current research has shown the authorized COVID-19 vaccines to be safe and effective at preventing severe illness. At the time of this study, there appears to be no published research on the attitudes and receipt of COVID-19 vaccinations among occupational therapy professionals and students. The purpose of this study is to describe the attitudes and receipt of COVID-19 vaccinations among occupational therapy professionals and students in early 2021. Methods: A total of …

Paris And Sparta: Finding The Achilles' Heel Of Sars-Cov-2, Viviana Simon, Ali H Ellebedy, Et Al

Open Access Publications

To understand reinfection rates and correlates of protection for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), we established eight different longitudinal cohorts in 2020 under the umbrella of the PARIS (Protection Associated with Rapid Immunity to SARS-CoV-2)/SPARTA (SARS SeroPrevalence And Respiratory Tract Assessment) studies. Here, we describe the PARIS/SPARTA cohorts, the harmonized assays and analysis that are performed across the cohorts, as well as case definitions for SARS-CoV-2 infection and reinfection that have been established by the team of PARIS/SPARTA investigators.

Structure Of A Vaccine-Induced, Germline-Encoded Human Antibody Defines A Neutralizing Epitope On The Sars-Cov-2 Spike N-Terminal Domain, Clara G Altomare, Daniel C Adelsberg, Juan Manuel Carreno, Iden A Sapse, Fatima Amanat, Ali H Ellebedy, Viviana Simon, Florian Krammer, Goran Bajic

Open Access Publications

Structural characterization of infection- and vaccination-elicited antibodies in complex with antigen provides insight into the evolutionary arms race between the host and the pathogen and informs rational vaccine immunogen design. We isolated a germ line-encoded monoclonal antibody (mAb) from plasmablasts activated upon mRNA vaccination against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and determined its structure in complex with the spike glycoprotein by electron cryomicroscopy (cryo-EM). We show that the mAb engages a previously uncharacterized neutralizing epitope on the spike N-terminal domain (NTD). The high-resolution structure reveals details of the intermolecular interactions and shows that the mAb inserts its heavy …

The Translational Landscape Of Sars-Cov-2-Infected Cells Reveals Suppression Of Innate Immune Genes, Maritza Puray-Chavez, Nakyung Lee, Kasyap Tenneti, Yiqing Wang, Hung R Vuong, Yating Liu, Amjad Horani, Tao Huang, Sean P Gunsten, James B Case, Wei Yang, Michael S Diamond, Steven L Brody, Joseph Dougherty, Sebla B Kutluay

2020-Current year OA Pubs

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) utilizes a number of strategies to modulate viral and host mRNA translation. Here, we used ribosome profiling in SARS-CoV-2-infected model cell lines and primary airway cells grown at an air-liquid interface to gain a deeper understanding of the translationally regulated events in response to virus replication. We found that SARS-CoV-2 mRNAs dominate the cellular mRNA pool but are not more efficiently translated than cellular mRNAs. SARS-CoV-2 utilized a highly efficient ribosomal frameshifting strategy despite notable accumulation of ribosomes within the slippery sequence on the frameshifting element. In a highly permissive cell line model, …

Seroprevalence Of Sars-Cov-2 Antibodies, The Gut Microbiome, And Peripherally Circulating Cytokines In Pregnant Hispanic Females, Tina Susanna Mutka

USF Tampa Graduate Theses and Dissertations

Pregnant Hispanic females have been disproportionately impacted by SARS-CoV-2 andhave experienced high rates of asymptomatic or mildly symptomatic, unrecognized infection. Acute SARS-CoV-2 infection has been associated with gut microbiome changes and altered peripherally circulating cytokine levels in symptomatic, non-pregnant individuals.

This study investigated the seroprevalence of anti-SARS-CoV-2 IgG antibodies in a sample of pregnant Hispanic females (n = 197). A sub-sample of SARS-CoV-2 seropositive and seronegative pregnant Hispanic females were followed across pregnancy and their bacterial gut microbiome was characterized, and cytokine levels measured to investigate relationships between SARS-CoV-2 serostatus, the gut microbiome, and peripherally circulating cytokine levels across pregnancy. …

2022-06-25_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services

Michigan COVID-19 Syndromic Surveillance System Data

The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "​Coronavirus Symptoms": https://www.michigan.gov/coronavirus/stats/coronavirus-symptoms. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated twice a week on Mondays and Thursdays.

Syndromic Surveillance System data is obtained from approximately 216 facilities participating in syndromic surveillance (139 Emergency Departments (ED), 77 Urgent Cares) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, triage notes, …

Deep Learning Paradigm For Cardiovascular Disease/Stroke Risk Stratification In Parkinson's Disease Affected By Covid-19: A Narrative Review., Jasjit S Suri, Mahesh A Maindarkar, Sudip Paul, Puneet Ahluwalia, Mrinalini Bhagawati, Luca Saba, Gavino Faa, Sanjay Saxena, Inder M Singh, Paramjit S Chadha, Monika Turk, Amer Johri, Narendra N Khanna, Klaudija Viskovic, Sofia Mavrogeni, John R Laird, Martin Miner, David W Sobel, Antonella Balestrieri, Petros P Sfikakis, George Tsoulfas, Athanase D Protogerou, Durga Prasanna Misra, Vikas Agarwal, George D Kitas, Raghu Kolluri, Jagjit S Teji, Mustafa Al-Maini, Surinder K Dhanjil, Meyypan Sockalingam, Ajit Saxena, Aditya Sharma, Vijay Rathore, Mostafa Fatemi, Azra Alizad, Padukode R Krishnan, Tomaz Omerzu, Subbaram Naidu, Andrew Nicolaides, Kosmas I Paraskevas, Mannudeep Kalra, Zoltán Ruzsa, Mostafa M Fouda

Heart and Vascular Articles

Background and Motivation: Parkinson's disease (PD) is one of the most serious, non-curable, and expensive to treat. Recently, machine learning (ML) has shown to be able to predict cardiovascular/stroke risk in PD patients. The presence of COVID-19 causes the ML systems to become severely non-linear and poses challenges in cardiovascular/stroke risk stratification. Further, due to comorbidity, sample size constraints, and poor scientific and clinical validation techniques, there have been no well-explained ML paradigms. Deep neural networks are powerful learning machines that generalize non-linear conditions. This study presents a novel investigation of deep learning (DL) solutions for CVD/stroke risk prediction …

A Survey On Machine Learning And Internet Of Medical Things-Based Approaches For Handling Covid-19: Meta-Analysis, Shahab S. Band, Sina Ardabili, Atefeh Yarahmadi, Bahareh Pahlevanzadeh, Adiqa Kausar Kiani, Amin Beheshti, Hamid Alinejad-Rokny, Iman Dehzangi, Arthur Chang, Amir Mosavi, Massoud Moslehpour

Research Outputs: 2025-Present

Early diagnosis, prioritization, screening, clustering, and tracking of patients with COVID-19, and production of drugs and vaccines are some of the applications that have made it necessary to use a new style of technology to involve, manage, and deal with this epidemic. Strategies backed by artificial intelligence (A.I.) and the Internet of Things (IoT) have been undeniably effective to understand how the virus works and prevent it from spreading. Accordingly, the main aim of this survey is to critically review the ML, IoT, and the integration of IoT and ML-based techniques in the applications related to COVID-19, from the diagnosis …

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.

Biochemical, Biophysical, And Immunological Characterization Of Respiratory Secretions In Severe Sars-Cov-2 Infections, Michael J Kratochvil, Gernot Kaber, Sally Demirdjian, Pamela C Cai, Elizabeth B Burgener, Nadine Nagy, Graham L Barlow, Medeea Popescu, Mark R Nicolls, Michael G Ozawa, Donald P Regula, Ana E Pacheco-Navarro, Samuel Yang, Vinicio A De Jesus Perez, Harry Karmouty-Quintana, Andrew M Peters, Bihong Zhao, Maximilian L Buja, Pamela Y Johnson, Robert B Vernon, Thomas N Wight, Carlos E Milla, Angela J Rogers, Andrew J Spakowitz, Sarah C Heilshorn, Paul L Bollyky

Faculty, Staff and Student Publications

Thick, viscous respiratory secretions are a major pathogenic feature of COVID-19, but the composition and physical properties of these secretions are poorly understood. We characterized the composition and rheological properties (i.e., resistance to flow) of respiratory secretions collected from intubated COVID-19 patients. We found the percentages of solids and protein content were greatly elevated in COVID-19 compared with heathy control samples and closely resembled levels seen in cystic fibrosis, a genetic disease known for thick, tenacious respiratory secretions. DNA and hyaluronan (HA) were major components of respiratory secretions in COVID-19 and were likewise abundant in cadaveric lung tissues from these …

2022-06-21_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services

Michigan COVID-19 Syndromic Surveillance System Data

The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "​Coronavirus Symptoms": https://www.michigan.gov/coronavirus/stats/coronavirus-symptoms. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated twice a week on Mondays and Thursdays.

Syndromic Surveillance System data is obtained from approximately 216 facilities participating in syndromic surveillance (139 Emergency Departments (ED), 77 Urgent Cares) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, triage notes, …

The President’S Remedy–What The Hydroxychloroquine Story Teaches Us About The Need To Limit Off-Lable Prescribing Powers, Jennifer Bard

Catholic University Law Review

When the history of the first year of the United States Government’s response to the COVID-19 virus is written, there is likely to be mention of the still unexplained vehemence with which then president Donald J. Trump made use of his access to social media to promote seldom used anti-malaria drug, hydroxychloroquine, for both the prevention and treatment of COVID-19 despite the active growing opposition of most of the world’s scientists, including his own government scientists. While the use of drugs developed and approved by the FDA for different purposes to combat new diseases, off-label prescribing, is legal in the …

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 …

Rural-Urban And Within-Rural Differences In Covid-19 Mortality Rates, Yue Sun, Kent Jason G. Cheng, Shannon M. Monnat

Journal of Rural Social Sciences

Since late-2020, COVID-19 mortality rates have been higher in rural than in urban America, but there has also been substantial within-rural heterogeneity. Using CDC data, we compare COVID-19 mortality rates across the rural-urban continuum as well as within rural counties across different types of labor markets and by metropolitan adjacency. As of October 1, 2021, the cumulative COVID-19 mortality rate was 247.0 per 100,000 population in rural counties compared to 200.7 in urban counties. Higher COVID-19 mortality rates in rural counties are explained by lower average educational attainment and lower median household income. Within rural counties, mortality rates have been …

Factors Explaining Variations In Covid-19 Deaths In Rural America, Don E. Albrecht

Journal of Rural Social Sciences

Early in the COVID-19 pandemic, case and death rates from the disease in rural counties were significantly lower than in urban counties. This pattern changed during the summer and fall of 2020, and by December, death rates in rural counties were higher than in urban counties. This article uses data from the U.S. Census Bureau and voting and COVID-19 data from The New York Times to explore factors related to the increase in COVID-19 deaths in rural counties in the United States. Further analysis is conducted to understand variations in death rates across different types of rural counties. Multivariate regression …

Symptomatic, Clinical And Biomarker Associations For Mortality In Hospitalized Covid-19 Patients Enriched For African Americans, Hassan Ashktorab, Antonio Pizuorno, Folake Adeleye, Adeyinka Laiyemo, Maryam Mehdipour Dalivand, Farshad Aduli, Zaki A Sherif, Gholamreza Oskrochi, Kibreab Angesom, Philip Oppong-Twene, Suryanarayana Reddy Challa, Nnaemeka Okorie, Esther S Moon, Edward Romos, Boubini Jones-Wonni, Abdoul Madjid Kone, Sheldon Rankine, Camelita Thrift, Derek Scholes, Chiamaka Ekwunazu, Abigail Banson, Brianna Mitchell, Guttu Maskalo, Jillian Ross, Julencia Curtis, Rachel Kim, Chandler Gilliard, Geetha Ahuja, Joseph Mathew, Warren Gavin, Areeba Kara, Manuel Hache-Marliere, Leonidas Palaiodimos, Vishnu R. Mani, Aleksandr Kalabin, Vijay Reddy Gayam, Pavani Reddy Garlapati, Joseph B. Miller Md, Lakshmi Gayathri Chirumamilla, Fatimah Jackson, John M. Carethers, Farin Kamangar, Hassan Brim

Emergency Medicine Articles

BACKGROUND AND AIMS: Initial reports on US COVID-19 showed different outcomes in different races. In this study we use a diverse large cohort of hospitalized COVID-19 patients to determine predictors of mortality.

METHODS: We analyzed data from hospitalized COVID-19 patients (n = 5852) between March 2020- August 2020 from 8 hospitals across the US. Demographics, comorbidities, symptoms and laboratory data were collected.

RESULTS: The cohort contained 3,662 (61.7%) African Americans (AA), 286 (5%) American Latinx (LAT), 1,407 (23.9%), European Americans (EA), and 93 (1.5%) American Asians (AS). Survivors and non-survivors mean ages in years were 58 and 68 for AA, …

Anxiety Of Struggling Readers And Excelling Readers During The Covid-19 Pandemic, Chelsey Taylor Lemmon

Theses and Dissertations

Anxiety is the most reported negative emotion in the academic setting. One of the specific forms of anxiety that children can experience is reading anxiety (RA). Children who experience RA are often at risk for reading failure; likewise, children who experience reading failure are likely to experience RA. Children who excel at reading can also experience anxiety, often in the form of harm avoidance. Bibliotherapy has been shown to help to mitigate the effects of specific types of anxiety in children. The purpose of this study was to understand the anxiety of children who excel at reading and children at …

2022-06-15_Michiganoverview_Covidsymptoms, Michigan Department Of Health & Human Services

Michigan COVID-19 Syndromic Surveillance System Data

The Syndromic Surveillance System Data report was obtained from Michigan's COVID-19 dashboard, from under the link "​Coronavirus Symptoms": https://www.michigan.gov/coronavirus/stats/coronavirus-symptoms. Data was compiled by the Michigan Department of Health and Human Services (MDHHS). The information was updated twice a week on Mondays and Thursdays.

Syndromic Surveillance System data is obtained from approximately 216 facilities participating in syndromic surveillance (139 Emergency Departments (ED), 77 Urgent Cares) across the State of Michigan. The reporting is based on individuals who present at EDs and may not be representative of the overall population. The coronavirus-like symptoms query searches visit free-text (chief complaint, triage notes, …

Orally Delivered Perilla (Perilla Frutescens) Leaf Extract Effectively Inhibits Sars-Cov-2 Infection In A Syrian Hamster Model, Yuan-Fan Chin, Wen-Fan Tang, Yu-Hsiu Chang, Tein-Yao Chang, Wen-Chin Lin, Chia-Yi Lin, Chuen-Mi Yang, Hsueh-Ling Wu, Ping-Cheng Li, Jun-Ren Sun, Shu-Chen Hsu, Chia-Ying Lee, Hsuan-Ying Lu, Jia-Yu Chang, Jia-Rong Jheng, Cheng Cheung Chen, Jyh-Hwa Kau, Chih-Heng Huang, Cheng-Hsun Chiu, Yi-Jen Hung, Hui-Ping Tsai, Jim-Tong Horng

Journal of Food and Drug Analysis

On analyzing the results of cell-based assays, we have previously shown that perilla (Perilla frutescens) leaf extract (PLE), a food supplement and orally deliverable traditional Chinese medicine approved by the Taiwan Food and Drug Administration, effectively inhibits SARS-CoV-2 by directly targeting virions. PLE was also found to modulate virus-induced cytokine expression levels. In this study, we explored the anti-SARS-CoV-2 activity of PLE in a hamster model by examining viral loads and virus-induced immunopathology in lung tissues. Experimental animals were intranasally challenged with different SARS-CoV-2 doses. Jugular blood samples and lung tissue specimens were obtained in the acute disease stage (3−4 …

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 …

Meta-Analysis Of 175 Patients With Covid-19 And Seizures, Status Epilepticus, Or Cortical Myoclonus: An Individual Patient Data Analysis, Aditi Kappagantu Bs, Helena A. Brantz Ms, Amman Bhasin Ba, Cristina Jageka Bs, Rooqash Ali Md, Izzy Saef Md, Brittany M. Stopa Mph, Ayaz Khawaja Md

Medical Student Research Symposium

Objective

To characterize management and outcomes of seizures, status epilepticus, and cortical myoclonus in COVID-19, with individual patient data analysis of published literature.

Methods

Systematic literature review was conducted in accordance with PRISMA guidelines. Criteria included new-onset seizures, status epilepticus, and/or cortical myoclonus with concomitant COVID-19. COVID-19 severity was dichotomized into mild and severe cases. Good outcome was defined as discharge without severe deficits, and/or return to baseline.

Results

A total of 105 studies reporting 176 patients (male 56.3%;mean age 47.8,SD 25.6) were included. Status epilepticus occurred in 47 patients (26.7%) and myoclonus in 41 (23.3%). Severe COVID-19 occurred in …

A Novel Sars-Cov-2 (T Cell) Vaccine Candidate Designed Using The Ivax Platform, Kirk Haltaufderhyde, Christine M. Boyle, Andres H. Gutierrez, Mayara Grizotte-Lake, Frances Terry, Bethany G. Mcgonnigal, Nicole Ruggiero, Leonard Moise, William D. Martin, Anne S. De Groot

Vaccine Technology VIII

EpiVax, Inc., a Rhode Island-based Biotechnology company, develops vaccines that exploit T cell immunity using the innovative iVAX vaccine antigen design platform. The premise of our strategy is the crucial role T cells play in development of protective antibody and cell-mediated immunity in natural infection. Because vaccines aim to recapitulate protective immune responses in infection, a vaccine should effectively harness T cell immunity to be protective. The significance of T cell immunity is underscored by COVID-19. Efficacy trial and real-world COVID-19 vaccine data for different vaccine modalities show a single vaccine dose is as much as 90% effective starting 14 …

Multilevel Determinants Of Racial/Ethnic Disparities In Severe Maternal Morbidity And Mortality In The Context Of The Covid-19 Pandemic In The Usa: Protocol For A Concurrent Triangulation, Mixed-Methods Study, Jihong Liu, Peiyin Hung Ph.D, Chen Liang Ph.D., Jiajia Zhang Ph.D., Shan Qiao Ph.D., Berry A. Campbell, Bankole Olatosi Ph.D., Myriam E. Torres Ph. D., Neset Hikmet, Xiaoming Li Ph.D.

Faculty Publications

Introduction The COVID-19 pandemic has affected communities of colour the hardest. Non-Hispanic black and Hispanic pregnant women appear to have disproportionate SARS-CoV-2 infection and death rates.

Methods and analysis We will use the socioecological framework and employ a concurrent triangulation, mixed-methods study design to achieve three specific aims: (1) examine the impacts of the COVID-19 pandemic on racial/ethnic disparities in severe maternal morbidity and mortality (SMMM); (2) explore how social contexts (eg, racial/ethnic residential segregation) have contributed to the widening of racial/ethnic disparities in SMMM during the pandemic and identify distinct mediating pathways through maternity care and mental health; and …