Digital Commons Network^™

For Every Rat Killed, Etienne C. Toussaint

Faculty Publications

If my grandmother had survived the sickness of old age and were alive to witness the economic injustices wrought by capitalist culture, what would she think? If my grandmother were alive to observe familiar technologies for exterminating household pests—surveil-lance, capture, imprisonment, disposal—being increasingly aimed toward low-income Black communities, what would she believe? If my grandmother were alive to discover, in the palm of her hands, a digital platform for spreading information (and misinformation) to the masses and painting new futures into the minds of lawmakers and politicians, what would she say?

Studies have shown that low-income individuals are more likely …

The Relationship Of Hair Glucocorticoid Levels To Immunological And Virological Outcomes In A Large Cohort Of Combination Antiretroviral Therapy Treated People Living With Hiv, Quan Zhang, Xiaoming Li Ph.D., Shan Qiao Ph.D., Shuaifeng Liu, Yuejiao Zhou, Zhiyong Shen

Faculty Publications

Background

Existing literature mostly investigated the relationship of acute or short-term glucocorticoid exposure to HIV disease progression using cortisol levels in serum, saliva, or urine. Data are limited on the relationship of long-term glucocorticoid exposure to HIV disease progression. This study examined whether hair glucocorticoid levels, novel retrospective indicators of long-term glucocorticoid exposure, are associated with two common indicators of HIV disease progression (CD4 count and HIV viral load) among a large cohort of combination antiretroviral therapy treated Chinese people living with HIV (PLHIV).

Methods

A total of 1198 treated PLHIV provided hair samples for glucocorticoid (cortisol and cortisone) assay …

Pocket2drug: An Encoder-Decoder Deep Neural Network For The Target-Based Drug Design, W T. Shi, M Singha, G Srivastava, L M. Pu, W T. Shi, M Brylinski

Faculty Publications

Computational modeling is an essential component of modern drug discovery. One of its most important applications is to select promising drug candidates for pharmacologically relevant target proteins. Because of continuing advances in structural biology, putative binding sites for small organic molecules are being discovered in numerous proteins linked to various diseases. These valuable data offer new opportunities to build efficient computational models predicting binding molecules for target sites through the application of data mining and machine learning. In particular, deep neural networks are powerful techniques capable of learning from complex data in order to make informed drug binding predictions. In …

Determinants Of Covid-19 Vaccinations Among A State-Wide Year-Long Surveillance Initiative In A Conservative Southern State, Lídia Gual-Gonzalez, Maggie S.J. Mccarter, Kyndall Dye-Braumuller, Stella Self, Connor H. Ross, Chloe Rodriguez-Ramos, Virginie G. Daguise, Melissa Nolan Ph.D., Mph

Faculty Publications

By the end of 2021, the COVID-19 pandemic resulted in over 54 million cases and more than 800,000 deaths in the United States, and over 350 million cases and more than 5 million deaths worldwide. The uniqueness and gravity of this pandemic have been reflected in the public health guidelines poorly received by a growing subset of the United States population. These poorly received guidelines, including vaccine receipt, are a highly complex psychosocial issue, and have impacted the successful prevention of disease spread. Given the intricate nature of this important barrier, any single statistical analysis methodologically fails to address all …

Fatal Neurodissemination And Sars-Cov-2 Tropism In K18-Hace2 Mice Is Only Partially Dependent On Hace2 Expression, Mariano Carossino, Devin Kenney, Aoife K. O’Connell, Paige Montanaro, Anna E. Tseng, Hans P. Gertje, Kyle A. Grosz, Maria Ericsson, Bertrand R. Huber, Susanna A. Kurnick, Saravanan Subramaniam, Thomas Kirkland, Joel R. Walker, Kevin P. Francis, Alexander D. Klose, Neal Paragas, Markus Bosmann, Mohsan Saeed, Udeni Balasuriya, Florian Douam, Nicholas Crossland

Faculty Publications

No abstract provided.

Cancer Incidence, Mortality, Years Of Life Lost, Years Lived With Disability, And Disability-Adjusted Life Years For 29 Cancer Groups From 2010 To 2019 A Systematic Analysis For The Global Burden Of Disease Study 2019, Ismaeel Yunusa Ph.D., Jonathan M. Kocarnik, Kelly Compton, Frances E. Dean, Weijia Fu, Brian L. Gaw, Et. Al.

Faculty Publications

Importance The Global Burden of Diseases, Injuries, and Risk Factors Study 2019 (GBD 2019) provided systematic estimates of incidence, morbidity, and mortality to inform local and international efforts toward reducing cancer burden.

Objective To estimate cancer burden and trends globally for 204 countries and territories and by Sociodemographic Index (SDI) quintiles from 2010 to 2019.

Evidence Review The GBD 2019 estimation methods were used to describe cancer incidence, mortality, years lived with disability, years of life lost, and disability-adjusted life years (DALYs) in 2019 and over the past decade. Estimates are also provided by quintiles of the SDI, a composite …

The Global Virome In One Network (Virion): An Atlas Of Vertebrate-Virus Associations, Colin J. Carlson, Rory J. Gibb, Gregory F. Albery, Liam Brierley, Ryan P. Connor, Tad Dallas, Evan A. Eskew, Anna C. Fagre, Maxwell J. Farrell, Hannah K. Frank, Renata L. Muylaert, Timothée Poisot, Angela L. Rasmussen, Sadie J. Ryan, Stephanie N. Seifert

Faculty Publications

Data that catalogue viral diversity on Earth have been fragmented across sources, disciplines, formats, and various degrees of open sharing, posing challenges for research on macroecology, evolution, and public health. Here, we solve this problem by establishing a dynamically maintained database of vertebrate-virus associations, called The Global Virome in One Network (VIRION). The VIRION database has been assembled through both reconciliation of static data sets and integration of dynamically updated databases. These data sources are all harmonized against one taxonomic backbone, including metadata on host and virus taxonomic validity and higher classification; additional metadata on sampling methodology and evidence strength …

Riding The Wave: Reactive Vector-Borne Disease Policy Renders The United States Vulnerable To Outbreaks And Insecticide Resistance, Kyndall C. Dye-Braumuller, Jennifer R. Gordon, Kaci Mccoy, Danielle Johnson, Rhoel Dinglasan, Melissa Nolan Ph.D., Mph

Faculty Publications

Funding for vector-borne disease surveillance, management, and research is cyclical and reactive in the United States. The subsequent effects have yielded gross inequities nationally that unintentionally support recurrent outbreaks. This policy forum is comprised of four primary subsections that collectively identify specific areas for improvement and offer innovative solutions to address national inadequacies in vector borne disease policy and infrastructure.

Meningiomas In Ancient Human Populations, Della Collins Cook, Marie Elaine Danforth

Faculty Publications

Meningiomas are the most common tumor of the central nervous system and can result in skeletal manifestations, including hyperostosis of the adjacent cranial bone, enostoses, depressions, and enhanced vascular impressions. However, their identification in the paleopathological literature has been rare and few cases have received broad acceptance of the diagnosis. A review of the literature identified some 43 cases in which individuals were argued to have suffered from meningiomas. Most were seen in older individuals but were more likely to affect males. Eleven individuals exhibited hyperostosis, the most easily recognized indicator, usually located on the parietal bone; the hyperostotic region …

Patients With Obesity And A History Of Metformin Treatment Have Lower Influenza Mortality: A Retrospective Cohort Study, Tammy H. Cummings, Joseph Magagnoli Ph.D., Ms, James W. Hardin, S. Scott Sutton

Faculty Publications

Background: Obesity is a risk factor for the development of influenza by leading to a chronic inflammatory state and T-cell dysfunction. Based upon preclinical research, metformin has influenza activity by restoring T-cell function and improving the immune response. Objective: We aimed to evaluate the potential drug repurposing of metformin for the management of influenza among patients with obesity utilizing national claims data in an electronic health record database. Methods: The VA Informatics and Computing Infrastructure (VINCI) was utilized to obtain individual-level information on demographics, administrative claims, and pharmacy dispensation. A cohort was created among individuals with laboratory confirmed diagnosis of …

Studying Patterns And Predictors Of Hiv Viral Suppression Using A Big Data Approach: A Research Protocol, Jiajia Zhang Ph.D., Bankole Olatosi Ph.D., Xueying Yang Ph.D., Zhenglong Li, Jianjun Hu, Xiaoming Li

Faculty Publications

Background: Given the importance of viral suppression in ending the HIV epidemic in the US and elsewhere, an optimal predictive model of viral status can help clinicians identify those at risk of poor viral control and inform clinical improvements in HIV treatment and care. With an increasing availability of electronic health record (EHR) data and social environmental information, there is a unique opportunity to improve our understanding of the dynamic pattern of viral suppression. Using a statewide cohort of people living with HIV (PLWH) in South Carolina (SC), the overall goal of the proposed research is to examine the dynamic …

Strict Lyapunov Functions And Feedback Controls For Sir Models With Quarantine And Vaccination, Hiroshi Ito, Michael Malisoff, Frederic Mazenc

Faculty Publications

We provide a new global strict Lyapunov function construction for a susceptible, infected, and recovered (or SIR) disease dynamics that includes quarantine of infected individuals and mass vaccination. We use the Lyapunov function to design feedback controls to asymptotically stabilize a desired endemic equilibrium, and to prove input-to-state stability for the dynamics with a suitable restriction on the disturbances. Our simulations illustrate the potential of our feedback controls to reduce peak levels of infected individuals.

Editorial Introduction: A Very Brief Introduction To The Landscape Of Emerging Infectious Diseases, James Nguyen H. Spencer

Faculty Publications

No abstract provided.

Global, Regional, And National Sex Differences In The Global Burden Of Tuberculosis By Hiv Status, 1990-2019: Results From The Global Burden Of Disease Study 2019, Jorge R. Ledesma, Jianing Ma, Avina Vongpradith, Emilie R. Maddison, Amanda Novotney, Ismaeel Yunusa

Faculty Publications

Background Tuberculosis is a major contributor to the global burden of disease, causing more than a million deaths annually. Given an emphasis on equity in access to diagnosis and treatment of tuberculosis in global health targets, evaluations of differences in tuberculosis burden by sex are crucial. We aimed to assess the levels and trends of the global burden of tuberculosis, with an emphasis on investigating differences in sex by HIV status for 204 countries and territories from 1990 to 2019.

Methods We used a Bayesian hierarchical Cause of Death Ensemble model (CODEm) platform to analyse 21505 siteyears of vital registration …

Dispersed Crude Oil Induces Dysbiosis In The Red Snapper Lutjanus Campechanus External Microbiota, Andrew M. Tarnecki, Christelle Miller, Tracy A. Sherwood, Robert J. Griffitt, Ryan W. Schloesser, Dana L. Wetzel

Faculty Publications

The fish external microbiota competitively excludes primary pathogens and prevents the proliferation of opportunists. A shift from healthy microbiota composition, known as dysbiosis, may be triggered by environmental stressors and increases host susceptibility to disease. The Deepwater Horizon (DWH) oil spill was a significant stressor event in the Gulf of Mexico. Despite anecdotal reports of skin lesions on fishes following the oil spill, little information is available on the impact of dispersed oil on the fish external microbiota. In this study, juvenile red snapper (Lutjanus campechanus) were exposed to a chemically enhanced water-accommodated fraction (CEWAF) of Corexit 9500/DWH …

An Exploratory Study On The Microbiome Of Northern And Southern Populations Of Ixodes Scapularis Ticks Predicts Changes And Unique Bacterial Interactions, Deepak Kumar, Latoyia P. Downs, Abdulsalam Adegoke, Erika Machtinger, Kelly Oggenfuss, Richard S. Ostfeld, Monica Embers, Shahid Karim

Faculty Publications

The black-legged tick (Ixodes scapularis) is the primary vector of Borrelia burgdorferi, the causative agent of Lyme disease in North America. However, the prevalence of Lyme borreliosis is clustered around the Northern States of the United States of America. This study utilized a metagenomic sequencing approach to compare the microbial communities residing within Ix. scapularis populations from northern and southern geographic locations in the USA. Using a SparCC network construction model, we performed potential interactions between members of the microbial communities from Borrelia burgdorferi–infected tissues of unfed and blood-fed ticks. A significant difference in bacterial composition …

Challenges, Inquiry, And Recommendations: Effective Covid-19 Vaccine Management In The Face Of Public Mistrust And Concern, Rosemary M. Caron, M. Girard Dorsey

Faculty Publications

By examining concerns about safety, compliance, and distribution through an interdisciplinary approach of public health and history, we argue that historical and contemporary mistrust of immunizations serves to challenge the successful management of a COVID-19 vaccine program in the U.S. Unique circumstances surrounding the development of a COVID-19 vaccine, including pressure for rapid production, unclear communication from public health officials, and existing resistance to behavioral protective public health policy measures (e.g., mask-wearing) complicate widespread vaccine adoption. Currently, the demand for first and second COVID-19 vaccine doses, as well as the COVID-19 booster, continues to fluctuate in the U.S. population as …

Overview Of Multi-Factor Prediction Using Deep Neural Networks, Machine Learning, And Their Open-Source Software, Richard S. Segall

Faculty Publications

This chapter first provides an overview with examples of what neural networks (NN), machine learning (ML), and artificial intelligence (AI) are and their applications in biomedical and business situations. The characteristics of 29 types of neural networks are provided including their distinctive graphical illustrations. A survey of current open-source software (OSS) for neural networks, neural network software available for free trail download for limited time use, and open-source software (OSS) for machine learning (ML) are provided. Characteristics of artificial intelligence (AI) technologies for machine learning available as open source are discussed. Illustrations of applications of neural networks, machine learning, and …

Survey Of Applications Of Neural Networks And Machine Learning To Covid-19 Predictions, Richard S. Segall

Faculty Publications

The purpose of this chapter is to illustrate how artificial intelligence (AI) technologies have been used for COVID-19 detection and analysis. Specifically, the use of neural networks (NN) and machine learning (ML) are described along with which countries are creating these techniques and how these are being used for COVID-19 diagnosis and detection. Illustrations of multi-layer convolutional neural networks (CNN), recurrent neural networks (RNN), and deep neural networks (DNN) are provided to show how these are used for COVID-19 detection and prediction. A summary of big data analytics for COVID-19 and some available COVID-19 open-source data sets and repositories and …

Reddit As A Source Of Covid-19 Information: A Content Analysis Of R/Coronavirus During The Early Pandemic, Brent Hale, Mark Alberta, Seung Woo Chae

Faculty Publications

Emerging research has begun examining the utility of social media platforms for information dissemination during the COVID-19 pandemic. Following this developing thread, this work examines discourse within r/coronavirus, a Reddit forum (i.e., subreddit) developed to curate COVID-19 information that burgeoned during the early months of the pandemic. Through a content analysis of 226 posts and 2260 corresponding comments generated between February and May, 2020, this study investigated early-pandemic communication patterns in this platform, including what information was deemed important and how users framed causes and solutions. Overall, findings indicate that users of r/coronavirus prioritized information about COVID-19 spread, public health …

Survey Of Recent Applications Of Artificial Intelligence For Detection And Analysis Of Covid-19 And Other Infectious Diseases, Richard S. Segall, Vidhya Sankarasubbu

Faculty Publications

The purpose is to illustrate how artificial intelligence (AI) technologies have been used for detection and analysis of COVID-19 and other infectious diseases such as breast, lung, and skin cancers; heart disease; and others. Specifically, the use of neural networks (NN) and machine learning (ML) are described along with which countries are creating these techniques and how these are being used for COVID-19 or other disease diagnosis and detection. Illustrations of multi-layer convolutional neural networks (CNN), recurrent neural networks (RNN), and deep neural networks (DNN) are provided to show how these are used for COVID-19 or other disease detection and …

Using Open-Source Software For Business, Urban, And Other Applications Of Deep Neural Networks, Machine Learning, And Data Analytics Tools, Richard S. Segall, Vidhya Sankarasubbu

Faculty Publications

This article provides an overview with examples of what Neural Networks (NN), Machine Learning (ML), and Artificial Intelligence (AI) and Data Analytics are, and with their applications in business, urban and biomedical situations. The characteristics of 29 types of neural networks are provided including their distinctive graphical illustrations. A survey of current open-source software (OSS) for neural networks, neural network software available for free trial download for limited time use, open-source software (OSS) for Machine Learning (ML), and open-source software (OSS) for Data Analytics tools are provided. Characteristics of Artificial Intelligence (AI) technologies for Machine Learning available as open-source are …

Both Consumptive And Non-Consumptive Effects Of Predators Impact Mosquito Populations And Have Implications For Disease Transmission, Marie C. Russell, Catherine M. Herzog, Zachary Gajewski, Chloe Ramsay, Andy Mccall

Faculty Publications

No abstract provided.

Promoting Vaccine Innovation, Mirit Eyal-Cohen, Ana Santos Rutschman

Faculty Publications

As society grows to understand the need to promote innovation, policymakers try to employ an arsenal of policy tools, from traditional intellectual property (“IP”) to newer tools such as grants, regulatory vouchers, and prizes. This Article argues that these frameworks crowd out certain types of investments in innovation projects that have a high social value. Vaccine innovation is a case in point. Despite the immense socioeconomic benefit of vaccines, existing policies have been limited in fostering investments in this space. This is because they fail to directly address the relevant bottleneck issues distinct to vaccine development.

This Article offers a …

Viral Sovereignty,Vaccine Diplomacy,And Vaccine Nationalism: The Institutions Of Global Vaccine Access, Sam F. Halabi, Ana Santos Rutschman

Faculty Publications

The COVID-19 pandemic has triggered a global vaccine race. Distributive questions about which countries will receive scarce doses and under which conditions pervade international law and diplomacy. This Article is the first to describe the phenomena that have driven the development of international vaccine-sharing mechanisms, identify the international organizational forces that explain the phenomena, and explain how international organizations may facilitate international cooperation before, during, and after global crises.

This Article explores the longstanding dissociation between global public health imperatives and nationalist responses to pandemics within the frameworks of “vaccine nationalism,” “viral sovereignty,” and “vaccine diplomacy.” The Article then considers …

Clinical Utility And Cost Effectiveness Of Long-Acting Lipoglycopeptides Used In Deep-Seated Infections Among Patients With Social And Economic Barriers To Care, Kayla Antosz, Majdi N. Al-Hasan, Z. Kevin Lu, Benjamin Tabor, Julie Ann Justo, Alexander Milgrom, Joseph Kohn, P. Brandon Bookstaver

Faculty Publications

The use of long-acting lipoglycopeptides (LaLGPs) in serious, deep-seated infections is of increasing interest. The purpose of this study is to evaluate the economic and clinical utility of LaLGPs in patients requiring protracted antibiotic courses who are not ideal candidates for oral transition or outpatient parenteral antibiotic therapy (OPAT). This is a retrospective, observational, matched cohort study of adult patients who received a LaLGP. Patients were matched 1:1 to those who received standard of care (SOC). Cost effectiveness was evaluated as total healthcare-related costs between groups. Clinical failure was a composite endpoint of mortality, recurrence, or need for extended antibiotics …

Family Composition And Stability For Orphans: A Longitudinal Study Of Well-Being In 5 Low- And Middle-Income Countries, Christine L. Gray, Kathryn Whetten, Julie L. Daniels, Michael G. Hudgens, Audrey E. Pettifor, Amy M. Hobbie, Nathan M. Thielman, Misganaw E. Dubie, Dafrosa Itemba, Ira Madan, Vanroth Vann, Austine I. Wasonga, Rachel Manongi, Jan Ostermann Ph.D., Rachel A. Whetten, Brian W. Pence

Faculty Publications

Objectives: Many orphaned children in low- and middle-income countries live with family. Yet, their household composition and its stability are not well-characterized, nor is impact of stability on longer-term outcomes.

Methods: We used the longitudinal, multi-country Positive Outcomes for Orphans cohort to describe adult family living with orphans. Stability was measured by changes in presence of six familial relations over time, and related to three outcomes: 1) incident abuse, 2) cognitive functioning, 3) emotional difficulties. Associations were estimated using generalized linear models fit with generalized estimating equations. For abuse, Poisson regression estimated risk ratios. For continuous scores of cognitive functioning …

Acute Pediatric Chagas Disease In Antioquia, Colombia: A Geographic Location Of Suspected Oral Transmission, Lídia Gual-Gonzalez, Catalina Aango-Ferreira, Laura Camila Lopera-Restrepo, Omar Cantillo-Barraza, Daniela Velásquez Marín, Natalia Restrepo Bustamante, Omar Triana-Chavez, Melissa Nolan Ph.D., Mph

Faculty Publications

Chagas disease, Trypanosoma cruzi infection, is an insidious cause of heart failure in Latin America. Early diagnosis and treatment are critical to prevent irreversible myocardial damage that progressively accumulates over decades. Several structural barriers account for the less than 1% of cases in Colombia being treated, including poor physician knowledge, especially considering that some regions are considered non-endemic. The two cases reported here represent an emerging epidemiologic scenario associated with pediatric Chagas disease. Both cases are suspected oral transmitted parasitic infection in a geographic region of Colombia (Andean region of Antioquia) where no previous oral transmission of Chagas disease had …

A New Criterion For Fluoroquinolone-Associated Disability Diagnosis: Functional Gastrointestinal Disorders, Deanna N. Cannizzaro, Lydia F. Naughton, Maya Z. Freeman, Linda Martin, Charles L. Bennett M.D., Ph.D., Cecilia Bove

Faculty Publications

Background and Objectives: Fluoroquinolones (FQs) are a broad-spectrum class of antibiotics routinely prescribed for common bacterial infections despite recent recommendations to use them only for life-threatening cases. In addition to their antimicrobial properties, FQs act in the central nervous system as GABAA receptor inhibitors, which could potentially affect functionality of the vagus nerve at the forefront of gastrointestinal (GI) tract function. Alterations in neural control of digestion have been shown to be linked to Functional Gastrointestinal Disorders (FGIDs), which are usually diagnosed based on self-reported symptoms. The aim of this study was to assess the incidence of FGIDs following FQ …

The Effect Of Door Opening On Air-Mixing In A Positively Pressurized Room: Implications For Operating Room Air Management During The Covid Outbreak, Arup Bhattacharya, Ali Ghahramani, Ehsan Mousavi

Faculty Publications

The effect of the built environment on the predominant indoor airflow patterns is significant. To protect the healthcare workers at the front line from the outbreak of COVID − 19, it is necessary to understand the transmission dynamics of the virus, which has been shown to depend on indoor airflow patterns. In hospital operating rooms (ORs), design requirements pose a unique challenge as the positive pressure in the OR can facilitate virus spread into adjacent spaces, shall a COVID-positive patient require a surgical procedure. Moreover, the turbulent vortexes from door motions could independently increase the probability of virus escape from …