COVID-19 Commons^™

Risks Of Mortality And Severe Coronavirus Disease 19 (Covid-19) Outcomes In Patients With Or Without Systemic Lupus Erythematosus, Sebastian Bruera, Xiudong Lei, Hui Zhao, Jinoos Yazdany, Mariana Chavez-Macgregor, Sharon H Giordano, Maria E Suarez-Almazor

Faculty, Staff and Student Publications

OBJECTIVES: We compared the outcomes of patients with or without systemic lupus erythematosus (SLE) who were diagnosed with coronavirus disease 19 (COVID-19) and evaluated factors within patients with SLE associated with severe outcomes.

METHODS: This retrospective cohort study used the deidentified Optum COVID-19 electronic health record dataset to identify patients with COVID-19 from 1/1/2020 to 31/12/2020. Cases with SLE were matched with general controls at a ratio of 1:10 by age, sex, race and ethnicity and COVID-19 diagnosis date. Outcomes included 30-day mortality, mechanical ventilation, hospitalisation and intensive care unit admission. We evaluated the relationship between COVID-19-related outcomes and SLE …

Association Between Covid-19 And Postoperative Neurological Complications And Antipsychotic Medication Use After Cancer Surgery: A Retrospective Study, Juan P Cata, Jian Hu, Lei Feng, Caroline Chung, Scott E Woodman, Larissa A Meyer

Faculty, Staff and Student Publications

Introduction: Millions of Americans infected with the severe acute respiratory syndrome-associated coronavirus-19 (COVID-19) need oncologic surgery. Patients with acute or resolved COVID-19 illness complain of neuropsychiatric symptoms. How surgery affects postoperative neuropsychiatric outcomes such as delirium is unknown. We hypothesize that patients with a history of COVID-19 could have an exaggerated risk of developing postoperative delirium after undergoing major elective oncologic surgery.

Methods: We conducted a retrospective study to determine the association between COVID-19 status and antipsychotic drugs during postsurgical hospitalization as a surrogate of delirium. Secondary outcomes included 30 days of postoperative complications, length of stay, and mortality. Patients …

Single-Cell Multi-Omics Integration For Unpaired Data By A Siamese Network With Graph-Based Contrastive Loss, Chaozhong Liu, Linhua Wang, Zhandong Liu

Faculty, Staff and Students Publications

BACKGROUND: Single-cell omics technology is rapidly developing to measure the epigenome, genome, and transcriptome across a range of cell types. However, it is still challenging to integrate omics data from different modalities. Here, we propose a variation of the Siamese neural network framework called MinNet, which is trained to integrate multi-omics data on the single-cell resolution by using graph-based contrastive loss.

RESULTS: By training the model and testing it on several benchmark datasets, we showed its accuracy and generalizability in integrating scRNA-seq with scATAC-seq, and scRNA-seq with epitope data. Further evaluation demonstrated our model's unique ability to remove the batch …

Covidanno, Covid-19 Annotation In Human, Yuzhou Feng, Mengyuan Yang, Zhiwei Fan, Weiling Zhao, Pora Kim, Xiaobo Zhou

Faculty, Staff and Student Publications

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the etiologic agent of coronavirus disease 19 (COVID-19), has caused a global health crisis. Despite ongoing efforts to treat patients, there is no universal prevention or cure available. One of the feasible approaches will be identifying the key genes from SARS-CoV-2-infected cells. SARS-CoV-2-infected in vitro model, allows easy control of the experimental conditions, obtaining reproducible results, and monitoring of infection progression. Currently, accumulating RNA-seq data from SARS-CoV-2 in vitro models urgently needs systematic translation and interpretation. To fill this gap, we built COVIDanno, COVID-19 annotation in humans, available at http://biomedbdc.wchscu.cn/COVIDanno/. The aim …

Workplace Aggression Against Healthcare Workers In A Spanish Healthcare Institution Between 2019 And 2021: The Impact Of The Covid-19 Pandemic, Aitor Díaz, Mireia Utzet, Joan Mirabent, Pilar Diaz, Jose Maria Ramada, Consol Serra, Fernando G Benavides

Faculty, Staff and Student Publications

OBJECTIVES: Describe the incidence of first aggressions among healthcare workers (HCWs) before and during the COVID-19 pandemic in a Spanish healthcare institution, according to workers' socio-occupational characteristics and analyze the impact of the pandemic on it.

METHODS: A cohort involving HCWs who worked in the institution for at least 1 week each year from 1 January 2019 to 31 December 2021. Adjusted relative risks (aRR) were estimated using generalized estimating equations and negative binomial models to calculate the differences in WPA between the different time periods. All analyses were stratified by gender.

RESULTS: Among women, the incidence was 6.8% (6.0; …

Plasma Enzymatic Activity, Proteomics And Peptidomics In Covid-19-Induced Sepsis: A Novel Approach For The Analysis Of Hemostasis, Fernando Dos Santos, Joyce B Li, Nathalia Juocys, Rafi Mazor, Laura Beretta, Nicole G Coufal, Michael T Y Lam, Mazen F Odish, Maria Claudia Irigoyen, Anthony J O'Donoghue, Federico Aletti, Erik B Kistler

Faculty, Staff and Student Publications

Introduction: Infection by SARS-CoV-2 and subsequent COVID-19 can cause viral sepsis. We investigated plasma protease activity patterns in COVID-19-induced sepsis with bacterial superinfection, as well as plasma proteomics and peptidomics in order to assess the possible implications of enhanced proteolysis on major protein systems (e.g., coagulation). Methods: Patients (=4) admitted to the intensive care units (ICUs) at the University of California, San Diego (UCSD) Medical Center with confirmed positive test for COVID-19 by real-time reverse transcription polymerase chain reaction (RT-PCR) were enrolled in a study approved by the UCSD Institutional Review Board (IRB# 190699, Protocol #20-0006). Informed consent was obtained …

Trem-1, Trem-2 And Their Association With Disease Severity In Patients With Covid-19, Ruyue Fan, Zuowang Cheng, Zhisheng Huang, Ying Yang, Na Sun, Bin Hu, Peibin Hou, Bo Liu, Chuanjun Huang, Shuai Liu

Faculty, Staff and Student Publications

BACKGROUND: Delayed diagnosis and inadequate treatment caused by limited biomarkers are associated with the outcomes of COVID-19 patients. It is necessary to identify other promising biomarkers and candidate targets for defining dysregulated inflammatory states.

METHODS: The triggering receptors expressed on myeloid cell (TREM)-1 and TREM-2 expression from hospitalized COVID-19 patients were characterized using ELISA and flow cytometry, respectively. Their correlation with disease severity and contrast with the main clinical indicators were evaluated.

RESULTS: Increased expression of soluble TREM-1 and TREM-2 in the plasma of COVID-19 patients was found compared to the control group. Moreover, membrane-bound TREM-1 and TREM-2 expression was …

Population-Based Assessment Of The Burden Of Covid-19 Infection In African Countries: A First-Year Report Card And Public Health Implications, Osaro Mgbere, Ogbonna Collins Nwabuko, Olajumoke A Olateju, Omolola E Adepoju, Winston Liaw, Charles Darkoh, Ekere James Essien

Faculty, Staff and Student Publications

BACKGROUND: The COVID-19 pandemic constitutes a global health threat and poses a major burden on the African continent. We assessed the real-world burden of COVID-19 infection in African Union (AU) member states to determine the distributional patterns of epidemiological measures during the first 1 year of the pandemic.

METHODS: This retrospective cross-sectional study utilized COVID-19 data from publicly available data repositories of the African Center for Disease Control and Prevention and

RESULTS: A total of 3.21 million cases were reported during the 1-year period, with 2.6 million recoveries, 536,784 cases remaining active, and 77,486 deaths. Most countries (49.1%,

CONCLUSION: Understanding …

Habitat Imaging Biomarkers For Diagnosis And Prognosis In Cancer Patients Infected With Covid-19, Muhammad Aminu, Divya Yadav, Lingzhi Hong, Elliana Young, Paul Edelkamp, Maliazurina Saad, Morteza Salehjahromi, Pingjun Chen, Sheeba J Sujit, Melissa M Chen, Bradley Sabloff, Gregory Gladish, Patricia M De Groot, Myrna C B Godoy, Tina Cascone, Natalie I Vokes, Jianjun Zhang, Kristy K Brock, Naval Daver, Scott E Woodman, Hussein A Tawbi, Ajay Sheshadri, J Jack Lee, David Jaffray, D Code Team, Carol C Wu, Caroline Chung, Jia Wu

Faculty, Staff and Student Publications

OBJECTIVES: Cancer patients have worse outcomes from the COVID-19 infection and greater need for ventilator support and elevated mortality rates than the general population. However, previous artificial intelligence (AI) studies focused on patients without cancer to develop diagnosis and severity prediction models. Little is known about how the AI models perform in cancer patients. In this study, we aim to develop a computational framework for COVID-19 diagnosis and severity prediction particularly in a cancer population and further compare it head-to-head to a general population.

METHODS: We have enrolled multi-center international cohorts with 531 CT scans from 502 general patients and …

The Challenges And Opportunities Of Scrna-Seq In Covid-19 Research And Clinical Translation, Wendao Liu, Xiaohua Ye, Zhiqiang An, Zhongming Zhao

Faculty, Staff and Student Publications

The application of single-cell RNA sequencing in COVID-19 research has greatly improved our understanding of COVID-19 pathogenesis and immunological characteristics. In this commentary, we discuss the current challenges, limitations, and perspectives in harnessing the power of single-cell RNA sequencing to accelerate both basic research and therapeutic development for COVID-19 and other emerging infectious diseases.

Massive Macroglossia, A Rare Side Effect Of Covid-19: Clinical, Histologic, And Genomic Findings In Covid-19-Positive Versus Covid-19-Negative Patients, Victoria A Mañón, David Chubb, Laura S Farach, Rachid Karam, Mary C Farach-Carson, Nadarajah Vigneswaran, Karan Saluja, Simon Young, Mark Wong, James C Melville

Faculty, Staff and Student Publications

PURPOSE: The primary purpose of this study is to identify if there is an underlying genetic predisposition for COVID-related macroglossia and if this susceptibility is higher among individuals of African heritage. Secondary objectives include determining if genetic testing of COVID-infected patients who are intubated and prone could identify patients with higher susceptibility to the development of macroglossia.

METHODS: A retrospective chart review was completed for each patient, and prospectively, genetic and histopathologic analyses were completed. Whole-exome sequencing was completed on two patients; immunohistochemistry was completed on the COVID-positive tissue samples.

RESULTS: Histopathology of the COVID-positive patient revealed significant peri-lymphocytic infiltrate, …

Sars-Cov-2 Incubation Period According To Vaccination Status During The Fifth Covid-19 Wave In A Tertiary-Care Center In Spain: A Cohort Study, Jordi Cortés Martínez, Daewoo Pak, Gabriela Abelenda-Alonso, Klaus Langohr, Jing Ning, Alexander Rombauts, Mireia Colom, Yu Shen, Guadalupe Gómez Melis

Faculty, Staff and Student Publications

Background: The incubation period of an infectious disease is defined as the elapsed time between the exposure to the pathogen and the onset of symptoms. Although both the mRNA-based and the adenoviral vector-based vaccines have shown to be effective, there have been raising concerns regarding possible decreases in vaccine effectiveness for new variants and variations in the incubation period.

Methods: We conducted a unicentric observational study at the Hospital Universitari de Bellvitge, Barcelona, using a structured telephone survey performed by trained interviewers to estimate the incubation period of the SARS-CoV-2 Delta variant in a cohort of Spanish hospitalized patients. The …

The Benefits And Challenges Of Virtual Education For Interprofessional Teams In A Post-Covid Environment, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

There have been a series of disruptions in the healthcare environment since 2019, starting with the global pandemic [...].

Cardiovascular Outcomes In Patients With Chronic Kidney Disease And Covid-19: A Multi-Regional Data-Linkage Study, Emilie J Lambourg, Peter J Gallacher, Robert W Hunter, Moneeza Siddiqui, Eve Miller-Hodges, James D Chalmers, Dan Pugh, Neeraj Dhaun, Samira Bell

Faculty, Staff and Student Publications

BACKGROUND: Data describing cardiovascular outcomes in patients with coronavirus disease 2019 (COVID-19) and chronic kidney disease (CKD) are lacking. We compared cardiovascular outcomes of patients with and without COVID-19, stratified by CKD status.

METHODS: This retrospective, multi-regional data-linkage study utilised individual patient-level data from two Scottish cohorts. All patients tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in Cohort 1 between 1 February 2020 and 31 March 2021 and in Cohort 2 between 28 February 2020 and 8 February 2021 were included.

RESULTS: Overall, 86 964 patients were tested for SARS-CoV-2. There were 36 904 patients (mean±sd age 61±21 …

The Impact Of Covid-19 On Opioid-Related Overdose Deaths In Texas, Karima Lalani, Christine Bakos-Block, Marylou Cardenas-Turanzas, Sarah Cohen, Bhanumathi Gopal, Tiffany Champagne-Langabeer

Faculty, Staff and Student Publications

Prior to the COVID-19 pandemic, the United States was facing an epidemic of opioid overdose deaths, clouding accurate inferences about the impact of the pandemic at the population level. We sought to determine the existence of increases in the trends of opioid-related overdose (ORO) deaths in the Greater Houston metropolitan area from January 2015 through December 2021, and to describe the social vulnerability present in the geographic location of these deaths. We merged records from the county medical examiner's office with social vulnerability indexes (SVIs) for the region and present geospatial locations of the aggregated ORO deaths. Time series analyses …

A Comprehensive Update On Cido: The Community-Based Coronavirus Infectious Disease Ontology, Yongqun He, Hong Yu, Anthony Huffman, Asiyah Yu Lin, Darren A Natale, John Beverley, Ling Zheng, Yehoshua Perl, Zhigang Wang, Yingtong Liu, Edison Ong, Yang Wang, Philip Huang, Long Tran, Jinyang Du, Zalan Shah, Easheta Shah, Roshan Desai, Hsin-Hui Huang, Yujia Tian, Eric Merrell, William D Duncan, Sivaram Arabandi, Lynn M Schriml, Jie Zheng, Anna Maria Masci, Liwei Wang, Hongfang Liu, Fatima Zohra Smaili, Robert Hoehndorf, Zoë May Pendlington, Paola Roncaglia, Xianwei Ye, Jiangan Xie, Yi-Wei Tang, Xiaolin Yang, Suyuan Peng, Luxia Zhang, Luonan Chen, Junguk Hur, Gilbert S Omenn, Brian Athey, Barry Smith

Faculty, Staff and Student Publications

BACKGROUND: The current COVID-19 pandemic and the previous SARS/MERS outbreaks of 2003 and 2012 have resulted in a series of major global public health crises. We argue that in the interest of developing effective and safe vaccines and drugs and to better understand coronaviruses and associated disease mechenisms it is necessary to integrate the large and exponentially growing body of heterogeneous coronavirus data. Ontologies play an important role in standard-based knowledge and data representation, integration, sharing, and analysis. Accordingly, we initiated the development of the community-based Coronavirus Infectious Disease Ontology (CIDO) in early 2020.

RESULTS: As an Open Biomedical Ontology …

Surge In Incidence And Coronavirus Disease 2019 Hospital Risk Of Death, United States, September 2020 To March 2021, Bela Patel, Robert E Murphy, Siddharth Karanth, Salsawit Shiffaraw, Richard M Peters, Samuel F Hohmann, Raymond S Greenberg

Faculty, Staff and Student Publications

BACKGROUND: Studies of the early months of the coronavirus disease 2019 (COVID-19) pandemic indicate that patient outcomes may be adversely affected by surges. However, the impact on in-hospital mortality during the largest surge to date, September 2020-March 2021, has not been studied. This study aimed to determine whether in-hospital mortality was impacted by the community surge of COVID-19.

METHODS: This is a retrospective cohort study of 416 962 adult COVID-19 patients admitted immediately before or during the surge at 229 US academic and 432 community hospitals in the Vizient Clinical Database. The odds ratios (ORs) of death among hospitalized patients …

Efficacy And Safety Of A Single Dose Of Casirivimab And Imdevimab For The Prevention Of Covid-19 Over An 8-Month Period: A Randomised, Double-Blind, Placebo-Controlled Trial, Gary A Herman, Meagan P O'Brien, Eduardo Forleo-Neto, Neena Sarkar, Flonza Isa, Peijie Hou, Kuo-Chen Chan, Katharine J Bar, Ruanne V Barnabas, Dan H Barouch, Myron S Cohen, Christopher B Hurt, Dale R Burwen, Mary A Marovich, Bret J Musser, John D Davis, Kenneth C Turner, Adnan Mahmood, Andrea T Hooper, Jennifer D Hamilton, Janie Parrino, Danise Subramaniam, Alina Baum, Christos A Kyratsous, A Thomas Dicioccio, Neil Stahl, Ned Braunstein, George D Yancopoulos, David M Weinreich, Covid-19 Phase 3 Prevention Trial Team

Faculty, Staff and Student Publications

BACKGROUND: There is an unmet need for COVID-19 prevention in patient populations who have not mounted or are not expected to mount an adequate immune response to complete COVID-19 vaccination. We previously reported that a single subcutaneous 1200 mg dose of the monoclonal antibody combination casirivimab and imdevimab (CAS + IMD) prevented symptomatic SARS-CoV-2 infections by 81·4% in generally healthy household contacts of SARS-CoV-2-infected individuals over a 1-month efficacy assessment period. Here we present additional results, including the 7-month follow-up period (months 2-8), providing additional insights about the potential for efficacy in pre-exposure prophylaxis settings.

METHODS: This was a randomised, …

Brequinar And Dipyridamole In Combination Exhibits Synergistic Antiviral Activity Against Sars-Cov-2 In Vitro: Rationale For A Host-Acting Antiviral Treatment Strategy For Covid-19, James F Demarest, Maryline Kienle, Ruthmabel Boytz, Mary Ayres, Eun Jung Kim, J J Patten, Donghoon Chung, Varsha Gandhi, Robert A Davey, David B Sykes, Nadim Shohdy, John C Pottage, Vikram S Kumar

Faculty, Staff and Student Publications

The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is the causative agent of coronavirus disease 2019 (COVID-19) and the associated global pandemic resulting in >400 million infections worldwide and several million deaths. The continued evolution of SARS-CoV-2 to potentially evade vaccines and monoclonal antibody (mAb)-based therapies and the limited number of authorized small-molecule antivirals necessitates the need for development of new drug treatments. There remains an unmet medical need for effective and convenient treatment options for SARS-CoV-2 infection. SARS-CoV-2 is an RNA virus that depends on host intracellular ribonucleotide pools for its replication. Dihydroorotate dehydrogenase (DHODH) is a ubiquitous host …

Pin-Pointing The Key Hubs In The Ifn-Γ Pathway Responding To Sars-Cov-2 Infection, Ayelen Toro, Sofia Lage-Vickers, Juan Bizzotto, Felipe Vilicich, Agustina Sabater, Gaston Pascual, Sabrina Ledesma-Bazan, Pablo Sanchis, Maria Sol Ruiz, Ana Paula Arevalo, Jorge L Porfido, Mercedes Abbate, Rocio Seniuk, Estefania Labanca, Nicolas Anselmino, Nora M Navone, Daniel F Alonso, Elba Vazquez, Martina Crispo, Javier Cotignola, Geraldine Gueron

Faculty, Staff and Student Publications

Interferon gamma (IFN-γ) may be potential adjuvant immunotherapy for COVID-19 patients. In this work, we assessed gene expression profiles associated with the IFN-γ pathway in response to SARS-CoV-2 infection. Employing a case-control study from SARS-CoV-2-positive and -negative patients, we identified IFN-γ-associated pathways to be enriched in positive patients. Bioinformatics analyses showed upregulation of MAP2K6, CBL, RUNX3, STAT1, and JAK2 in COVID-19-positive vs. -negative patients. A positive correlation was observed between STAT1/JAK2, which varied alongside the patient's viral load. Expression of MX1, MX2, ISG15, and OAS1 (four well-known IFN-stimulated genes (ISGs)) …

Remission Of Liquid Tumors And Sars-Cov-2 Infection: A Literature Review, Dong Ho Shin, Andrew Gillard, Arie Van Wieren, Candelaria Gomez-Manzano, Juan Fueyo

Faculty, Staff and Student Publications

The coronavirus disease 2019 (COVID-19) pandemic has produced a new global challenge for patients with cancer. The disease and the immunosuppression induced by cancer therapies have generated a perfect storm of conditions to increase the severity of the symptoms and worsen the prognosis. However, a few clinical reports showcased the power of viruses to induce remission in some patients suffering from liquid tumors. Here, we reviewed six cases of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that resulted in cancer remission, simultaneously highlighting the strengths and the unique challenges of oncolytic virotherapy. Virotherapy has become a special case of cancer …

Delineating Covid-19 Immunological Features Using Single-Cell Rna Sequencing, Wendao Liu, Johnathan Jia, Yulin Dai, Wenhao Chen, Guangsheng Pei, Qiheng Yan, Zhongming Zhao

Faculty, Staff and Student Publications

Understanding the molecular mechanisms of coronavirus disease 2019 (COVID-19) pathogenesis and immune response is vital for developing therapies. Single-cell RNA sequencing has been applied to delineate the cellular heterogeneity of the host response toward COVID-19 in multiple tissues and organs. Here, we review the applications and findings from over 80 original COVID-19 single-cell RNA sequencing studies as well as many secondary analysis studies. We describe that single-cell RNA sequencing reveals multiple features of COVID-19 patients with different severity, including cell populations with proportional alteration, COVID-19-induced genes and pathways, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) infection in single cells, and adaptation …

Assessing Age-Specific Vaccination Strategies And Post-Vaccination Reopening Policies For Covid-19 Control Using Seir Modeling Approach, Xia Wang, Hulin Wu, Sanyi Tang

Faculty, Staff and Student Publications

As the availability of COVID-19 vaccines, it is badly needed to develop vaccination guidelines to prioritize the vaccination delivery in order to effectively stop COVID-19 epidemic and minimize the loss. We evaluated the effect of age-specific vaccination strategies on the number of infections and deaths using an SEIR model, considering the age structure and social contact patterns for different age groups for each of different countries. In general, the vaccination priority should be given to those younger people who are active in social contacts to minimize the number of infections, while the vaccination priority should be given to the elderly …

Controlling Multiple Covid-19 Epidemic Waves: An Insight From A Multi-Scale Model Linking The Behaviour Change Dynamics To The Disease Transmission Dynamics, Biao Tang, Weike Zhou, Xia Wang, Hulin Wu, Yanni Xiao

Faculty, Staff and Student Publications

COVID-19 epidemics exhibited multiple waves regionally and globally since 2020. It is important to understand the insight and underlying mechanisms of the multiple waves of COVID-19 epidemics in order to design more efficient non-pharmaceutical interventions (NPIs) and vaccination strategies to prevent future waves. We propose a multi-scale model by linking the behaviour change dynamics to the disease transmission dynamics to investigate the effect of behaviour dynamics on COVID-19 epidemics using game theory. The proposed multi-scale models are calibrated and key parameters related to disease transmission dynamics and behavioural dynamics with/without vaccination are estimated based on COVID-19 epidemic data (daily reported …

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 …

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 …

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 …

Factors Associated With Covid-19 Death In The United States: Cohort Study, Uan-I Chen, Hua Xu, Trudy Millard Krause, Raymond Greenberg, Xiao Dong, Xiaoqian Jiang

Faculty, Staff and Student Publications

BACKGROUND: Since the initial COVID-19 cases were identified in the United States in February 2020, the United States has experienced a high incidence of the disease. Understanding the risk factors for severe outcomes identifies the most vulnerable populations and helps in decision-making.

OBJECTIVE: This study aims to assess the factors associated with COVID-19-related deaths from a large, national, individual-level data set.

METHODS: A cohort study was conducted using data from the Optum de-identified COVID-19 electronic health record (EHR) data set; 1,271,033 adult participants were observed from February 1, 2020, to August 31, 2020, until their deaths due to COVID-19, deaths …

Of Vascular Defense, Hemostasis, Cancer, And Platelet Biology: An Evolutionary Perspective, David G Menter, Vahid Afshar-Kharghan, John Paul Shen, Stephanie L Martch, Anirban Maitra, Scott Kopetz, Kenneth V Honn, Anil K Sood

Faculty, Staff and Student Publications

We have established considerable expertise in studying the role of platelets in cancer biology. From this expertise, we were keen to recognize the numerous venous-, arterial-, microvascular-, and macrovascular thrombotic events and immunologic disorders are caused by severe, acute-respiratory-syndrome coronavirus 2 (SARS-CoV-2) infections. With this offering, we explore the evolutionary connections that place platelets at the center of hemostasis, immunity, and adaptive phylogeny. Coevolutionary changes have also occurred in vertebrate viruses and their vertebrate hosts that reflect their respective evolutionary interactions. As mammals adapted from aquatic to terrestrial life and the heavy blood loss associated with placentalization-based live birth, platelets …