Digital Commons Network^™

An Investigation Of Media Reports Of Digital Surveillance Within The First Year Of The Covid-19 Pandemic, Leigha Comer, Lorie Donelle Phd, Rn, Fcan, Marionette Ngole, Jacob J. Shelley, Anita Kothari, Maxwell Smith, James M. Shelley, Saverio Stranges, Brad Hiebert, Jason Gilliland, Tommy Cooke, Jodi Hall, Jed Long

Publications

INTRODUCTION: The COVID-19 pandemic prompted a surge in digital public health surveillance worldwide, with limited opportunities to consider the effectiveness or impact of digital surveillance. The news media shape public understanding of topics of importance, contributing to our perception of priority issues. This study investigated news media reports published during the first year of the pandemic to understand how the use and consequences of digital surveillance technologies were reported on. METHODS: A media content analysis of 34 high- to low-income countries was completed. The terms "COVID-19," "surveillance," "technologies," and "public health" were used to retrieve and inductively code media reports. …

Leveraging Digital Technology For Social Connectedness Among Adults With Chronic Conditions: A Systematic Review, Pamela J. Wright Phd, Ms, Med, Rn, Cen, Phyllis A. Raynor, Dana Bowers, Elizabeth M. Combs, Cynthia F. Corbett Phd, Rn, Faan, Hannah Hardy, Khushi S. Patel

Publications

PURPOSE: To review the evidence about the impact of digital technology on social connectedness among adults with one or more chronic health conditions.

METHODS: PubMed, Embase, Social Sciences, CINAHL, and Compendex were systematically searched for full-text, peer-reviewed empirical evidence published between 2012 and 2023 and reported using the PRISMA flow diagram. Articles were critically appraised applying the Joanna Briggs Institute checklists. Specific data were extracted based on the framework for social identity and technology approaches for health outcomes and then analyzed and synthesized.

RESULTS: Thirty-four studies met study criteria. Evidence showed heterogeneity among research methodology, chronic health conditions, digital technology, …

Use Of Digital Technologies For Public Health Surveillance During The Covid-19 Pandemic: A Scoping Review, Lorie Donelle Phd, Rn, Fcan, Leigha Comer, Brad Hiebert, Jodi Hall, Jacob J. Shelley, Maxwell J. Smith, Anita Kothari, Jacquelyn Burkell, Saverio Stranges, Tommy Cooke, James M. Shelley, Jason Gilliland, Marionette Ngole, Danica Facca

Publications

Throughout the COVID-19 pandemic, a variety of digital technologies have been leveraged for public health surveillance worldwide. However, concerns remain around the rapid development and deployment of digital technologies, how these technologies have been used, and their efficacy in supporting public health goals. Following the five-stage scoping review framework, we conducted a scoping review of the peer-reviewed and grey literature to identify the types and nature of digital technologies used for surveillance during the COVID-19 pandemic and the success of these measures. We conducted a search of the peer-reviewed and grey literature published between 1 December 2019 and 31 December …

Successes And Barriers Of Health Information Exchange Participation Across Hospitals In South Carolina From 2014 To 2020: Longitudinal Observational Study, Kausik Lakkaraju, Aniket Gupta, Biplav Srivastava, Marco Valtorta, Dezhi Wu

Publications

Sentiment Analysis Systems (SASs) are data-driven Artificial Intelligence (AI) systems that output polarity and emotional intensity when given a piece of text as input. Like other AIs, SASs are also known to have unstable behavior when subjected to changes in data which can make them problematic to trust out of concerns like bias when AI works with humans and data has protected attributes like gender, race, and age. Recently, an approach was introduced to assess SASs in a blackbox setting without training data or code, and rating them for bias using synthetic English data. We augment it by introducing two …

Dealing With Incivility On Social Media: Faculty Support & Guidance, University Of South Carolina Office Of The Provost

Reports

This guide is designed to assist the campus community in responding to situations in which faculty members are targeted by individuals or groups outside of the university based on the content of the faculty member’s scholarship, teaching, and/or service. It addresses potential concerns in such situations and informs the campus about resources available to assist individual faculty members, departments chairs, and other administrators. The foundation for this guide is the University of South Carolina’s unwavering support for academic freedom and freedom of expression. The faculty’s right to academic freedom in teaching and research and service is protected as essential to …

Using Geospatial Social Media Data For Infectious Disease Studies: A Systematic Review, Fengrui Jing, Zhenlong Li, Shan Qiao Ph.D., Jiajia Zhang Ph.D., Bankole Olatosi Ph.D., Xiaoming Li Ph.D.

Faculty Publications

Geospatial social media (GSM) data has been increasingly used in public health due to its rich, timely, and accessible spatial information, particularly in infectious disease research. This review synthesized 86 research articles that use GSM data in infectious diseases published between December 2013 and March 2022. These articles cover 12 infectious disease types ranging from respiratory infectious diseases to sexually transmitted diseases with spatial levels varying from the neighborhood, county, state, and country. We categorized these studies into three major infectious disease research domains: surveillance, explanation, and prediction. With the assistance of advanced computing, statistical and spatial methods, GSM data …

Cooperative Deep Q -Learning Framework For Environments Providing Image Feedback, Krishnan Raghavan, Vignesh Narayanan, Sarangapani Jagannathan

Publications

In this article, we address two key challenges in deep reinforcement learning (DRL) setting, sample inefficiency, and slow learning, with a dual-neural network (NN)-driven learning approach. In the proposed approach, we use two deep NNs with independent initialization to robustly approximate the action-value function in the presence of image inputs. In particular, we develop a temporal difference (TD) error-driven learning (EDL) approach, where we introduce a set of linear transformations of the TD error to directly update the parameters of each layer in the deep NN. We demonstrate theoretically that the cost minimized by the EDL regime is an approximation …

Knowledge Graph Guided Semantic Evaluation Of Language Models For User Trust, Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit Sheth

Publications

A fundamental question in natural language processing is - what kind of language structure and semantics is the language model capturing? Graph formats such as knowledge graphs are easy to evaluate as they explicitly express language semantics and structure. This study evaluates the semantics encoded in the self-attention transformers by leveraging explicit knowledge graph structures. We propose novel metrics to measure the reconstruction error when providing graph path sequences from a knowledge graph and trying to reproduce/reconstruct the same from the outputs of the self-attention transformer models. The opacity of language models has an immense bearing on societal issues of …

Moment-Based Reinforcement Learning For Ensemble Control, Yao-Chi Yu, Vignesh Narayanan, Jr-Shin Li

Publications

Problems involving controlling the collective behavior of a population of structurally similar dynamical systems, the so-called ensemble control, arise in diverse emerging applications and pose a grand challenge in systems science and control engineering. Owing to the severely under-actuated nature and the difficulty of placing large-scale sensor networks, ensemble systems are limited to being actuated and monitored at the population level. Moreover, mathematical models describing the dynamics of ensemble systems are often elusive. Therefore, it is essential to design broadcast controls that excite the entire population in such a way that the heterogeneity in system dynamics are robustly compensated. In …

Tutorial - Shodhguru Labs: Optimization And Hyperparameter Tuning For Neural Networks, Kaushik Roy

Publications

Neural networks have emerged as a powerful and versatile class of machine learning models, revolutionizing various fields with their ability to learn complex patterns and make accurate predictions. The performance of neural networks depends significantly on the appropriate choice of hyperparameters, which are critical factors governing their architecture, regularization, and optimization techniques. As the demand for high-performance neural networks grows across diverse applications, the need for efficient optimization and hyperparameter tuning methods becomes paramount. This paper presents a comprehensive exploration of optimization strategies and hyperparameter tuning techniques for neural networks. Neural networks have emerged as a powerful and versatile class …

“What Is A Wave But 1000 Drops Working Together?”: The Role Of Public Libraries In Addressing Lgbtqia+ Health Information Disparities, Vanessa Kitzie, Alexander N. Vera, Valerie Lookingbill, Travis L. Wagner

Faculty Publications

This paper presents results from a participatory action research study with 46 LGBTQIA+ community leaders and 60 library workers who participated in four community forums at public libraries across the US. The forums identified barriers to LGBTQIA+ communities addressing their health questions and concerns and explored strategies for public libraries to tackle them. Forums followed the World Café format to facilitate collaborative knowledge development and promote participant-led change. Data sources included collaborative notes taken by participants and observational researcher notes. Results revealed that barriers experienced by LGBTQIA+ communities are structurally and socially entrenched and require systematic changes. Public libraries must …

The Glories And Inglories Of Library And Information Science Pedagogy: An Introduction, Kim M. Thompson, Keren Dali

Faculty Publications

No abstract provided.

Marine And Human Environmental Factors Influence Vibrio Parahaemolyticus And Vibrio Vulnificus In Vitro Biofilm Processes On Plastics, Ryan Eric Leighton

Theses and Dissertations

Marine bacteria often exist in biofilms as communities attached to surfaces, like plastic. Growing concerns exist regarding marine plastics acting as potential vectors of pathogenic Vibrio, especially in a changing climate. It has been generalized that Vibrio vulnificus and Vibrio parahaemolyticus often attach to plastic surfaces. Different strains of these Vibrios exist having different growth and biofilm forming properties. This work evaluated how temperature and strain variability affect V. parahaemolyticus and V. vulnificus biofilm formation and characteristics on glass (GL), low-density polyethylene (LDPE), polypropylene (PP), and polystyrene (PS). This work also evaluated how human body related factors like temperature, …

Oceanographic Applications Of A Monolithic Spatial Heterodyne Raman Spectrometer, Amanda Carol Agrawal

Theses and Dissertations

Carbon dioxide enters the ocean through a variety of natural and anthropogenic sources, and has a significant impact on ocean acidification, the marine buffering system, and bioavailability of life-essential carbonate ions. As carbon dioxide dissolves it reacts with water to form carbonic acid, which then rapidly dissociates into hydronium, bicarbonate, and carbonate ions. Some hydronium ions protonate carbonate to form bicarbonate, driving the carbonate concentration lower while there is a net increase in hydronium concentration. Monitoring the carbonate equilibrium system in the ocean is a complex analytical problem, where speciation is often measured or calculated indirectly ex situ. It …

Producer Interviews And Analysis As A Tool For Science Communication And Research Implementation In Agriculture, Lacy Marie Barnette

Theses and Dissertations

Research implementation beyond the laboratory requires both sound science and high-quality science communication. Science communication is an emerging field that is increasing in importance as the public has access to more information than ever, however there are some underlying obstacles like the lack of communication-specific training that scientists receive and disconnected populations. Agricultural producers have a perceived history of being disconnected from science even though modern agriculture relies heavily on researched practices and has an entire network of extension agencies intended to communicate with producers. One reason for this perceived disconnect is the one-way communication that has dominated science communication …

Proknow: Process Knowledge For Safety Constrained And Explainable Question Generation For Mental Health Diagnostic Assistance, Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit Sheth

Publications

Current Virtual Mental Health Assistants (VMHAs) provide counseling and suggestive care. They refrain from patient diagnostic assistance because of a lack of training on safety-constrained and specialized clinical process knowledge (Pro-Know). In this work, we define ProKnow as an ordered set of information that maps to evidence-based guidelines or categories of conceptual understanding to experts in a domain. We also introduce a new dataset of diagnostic conversations guided by safety constraints and ProKnow that healthcare professionals use (ProKnow-data). We develop a method for natural language question generation (NLG) that collects diagnostic information from the patient interactively (ProKnow-algo). We demonstrate the …

A Semantic Web Approach To Fault Tolerant Autonomous Manufacturing, Fadi El Kalach, Ruwan Wickramarachchi, Ramy Harik, Amit Sheth

Publications

The next phase of manufacturing is centered on making the switch from traditional automated to autonomous systems. Future factories are required to be agile, allowing for more customized production, and resistance to disturbances. Such production lines would be able to reallocate resources as needed and minimize downtime while keeping up with market demands. These systems must be capable of complex decision-making based on parameters such as machine status, sensory/IoT data, and inspection results. Current manufacturing lines lack this complex capability and instead focus on low-level decision-making on the machine level without utilizing the generated data to its full extent. This …

Tutorial - Shodhguru Labs: Knowledge-Infused Artificial Intelligence For Mental Healthcare, Kaushik Roy

Publications

Artificial Intelligence (AI) systems for mental healthcare (MHCare) have been ever-growing after realizing the importance of early interventions for patients with chronic mental health (MH) conditions. Social media (SocMedia) emerged as the go-to platform for supporting patients seeking MHCare. The creation of peer-support groups without social stigma has resulted in patients transitioning from clinical settings to SocMedia supported interactions for quick help. Researchers started exploring SocMedia content in search of cues that showcase correlation or causation between different MH conditions to design better interventional strategies. User-level Classification-based AI systems were designed to leverage diverse SocMedia data from various MH conditions, …

Association Of Hospital Incentive Care Management Partnerships For Uninsured Patients With Emergency Department Utilization, Sarah Gareau, Ana Lopez-De Fede, Zhimin Chen, Nathaniel Bell

Publications

IMPORTANCE The South Carolina (SC) Healthy Outcomes Plan (HOP) program aimed to expand access to health care to individuals without insurance; it remains unknown whether there is an association between the SC HOP program and emergency department (ED) use among patients with high health care costs and needs. OBJECTIVES To determine whether participation in the SC HOP was associated with reduced ED utilization among uninsured participants. DESIGN, SETTING, AND PARTICIPANTS This retrospective cohort study included 11 684 HOP participants (ages 18-64 years) with at least 18 months of continuous enrollment. Generalized estimating equations and segmented regression of interrupted time-series analyses …

Nitrous Oxide Production And Isotopomer Composition By Fungi Isolated From Salt Marsh Sediments, Birch Maxwell Lazo-Murphy, Samantha Larson, Sydney Staines, Heather Bruck, Julianne Mchenry, Annie Bourbonnais, Xuefeng Peng

Faculty Publications

The emissions of nitrous oxide (N₂O), a potent greenhouse gas and ozone-depleting agent, have been steadily increasing from coastal environments, such as salt marsh sediments, as a result of anthropogenic nutrient loading. Biotic processes, including nitrification and denitrification, are the largest sources of N₂O from salt marsh sediments. While it is assumed that the bulk of N₂O from salt marsh sediment is produced by nitrification and bacterial denitrification, recent reports suggest fungal denitrification may contribute significantly. In this study, four fungi capable of growth under sulfidic conditions were isolated from salt marsh sediments in …

Topics And Sentiment Surrounding Vaping On Twitter And Reddit During The 2019 E-Cigarette And Vaping Use-Associated Lung Injury Outbreak: Comparative Study, Dezhi Wu, Erin Kasson, Avineet Kumar Singh, Yang Ren, Nina Kaiser, Ming Huang, Patricia A. Cavazos-Rehg

Publications

BACKGROUND: Vaping or e-cigarette use has become dramatically more popular in the United States in recent years. e-Cigarette and vaping use-associated lung injury (EVALI) cases caused an increase in hospitalizations and deaths in 2019, and many instances were later linked to unregulated products. Previous literature has leveraged social media data for surveillance of health topics. Individuals are willing to share mental health experiences and other personal stories on social media platforms where they feel a sense of community, reduced stigma, and empowerment. OBJECTIVE: This study aimed to compare vaping-related content on 2 popular social media platforms (ie, Twitter and Reddit) …

The Hypertension Cascade Of Care In The Midst Of Conflict: The Case Of The Gaza Strip, Bassam A. Abu Hamad, Zeina Jamaluddine, Gloria Safadi, Marie Elizabeth Ragi, Raeda El Sayed Ahmad, Eszter P. Vamos, Sanjay Basu, John S. Yudkin, Mohammed Jawad, Christopher Millett, Hala Ghattas Ph.D.

Faculty Publications

Although hypertension constitutes a substantial burden in conflict-affected areas, little is known about its prevalence, control, and management in Gaza. This study aims to estimate the prevalence and correlates of hypertension, its diagnosis and control among adults in Gaza. We conducted a representative, cross-sectional, anonymous, household survey of 4576 persons older than 40 years in Gaza in mid-2020. Data were collected through face-to-face interviews, anthropometric, and blood pressure measurements. Hypertension was defined in anyone with an average systolic blood pressure ≥140 mmHg or average diastolic blood pressure ≥90 mmHg from two consecutive readings or a hypertension diagnosis. The mean age …

December 7, 2022 Faculty Senate Minutes, University Of South Carolina

Faculty Senate

No abstract provided.

Tragedies Of The Cultural Commons, Etienne C. Toussaint

Faculty Publications

In the United States, Black cultural expressions of democratic life that operate within specific historical-local contexts, yet reflect a shared set of sociocultural mores, have been historically crowded out of the law and policymaking process. Instead of democratic cultural discourse occurring within an open and neutral marketplace of ideas, the discursive production and consumption of democratic culture in American politics has been rivalrous. Such rivalry too often enables dominant White supremacist cultural beliefs, values, and practices to exercise their hegemony upon law’s production and meaning. The result has been tragedy for politically disempowered and socioeconomically excluded communities.

This Article uses …

Covid-19 Mitigation Strategies: A Natural Experiment Highlighting The Importance Of Structure In The Prevention And Treatment Of Childhood Obesity, Keith Brazendale, Michael Beets, Robert Weaver Med, Phd, Bridget Armstrong, Ethan T. Hunt

Faculty Publications

Societal restrictions due to the Coronavirus Disease 2019 (COVID-19), such as the closure of schools, childcare centers, and community programs, were implemented to prevent the spread of the disease and to protect the health and well-being of the population. These mitigation efforts drastically interrupted the day-to-day environments of children and adolescents and influenced how they spent the majority of their waking hours. Evidence shows on days when children and adolescents are in “structured” settings, such as school or other extracurricular programs or day camps, their obesogenic behaviors (i.e., sleep, physical activity, diet, and screen/media time) are more favorable than on …

Understanding Alcohol Use Discourse And Stigma Patterns In Perinatal Care On Twitter, Fritz Culp, Yuqi Wu, Dezhi Wu, Yang Ren, Phyllis Raynor Phd, Aprn, Pmhnp-Bc, Peiyin Hung Ph.D, Shan Qiao Ph.D., Xiaoming Li Ph.D., Kacey Eichelberger

Publications

(1) Background: perinatal alcohol use generates a variety of health risks. Social media platforms discuss fetal alcohol spectrum disorder (FASD) and other widespread outcomes, providing personalized user-generated content about the perceptions and behaviors related to alcohol use during pregnancy. Data collected from Twitter underscores various narrative structures and sentiments in tweets that reflect large-scale discourses and foster societal stigmas; (2) Methods: We extracted alcohol-related tweets from May 2019 to October 2021 using an official Twitter search API based on a set of keywords provided by our clinical team. Our exploratory study utilized thematic content analysis and inductive qualitative coding methods …

Potential Use Of Engineered Nanoparticles In Ocean Fertilization For Large-Scale Atmospheric Carbon Dioxide Removal, Peyman Babakhani, Tanapon Phenrat, Mohammed Baalousha M.Sc, Ph.D., Kullapa Soratana, Caroline L. Peacock, Benjamin S. Twining, Michael F. Hochella Jr.

Faculty Publications

Artificial ocean fertilization (AOF) aims to safely stimulate phytoplankton growth in the ocean and enhance carbon sequestration. AOF carbon sequestration efficiency appears lower than natural ocean fertilization processes due mainly to the low bioavailability of added nutrients, along with low export rates of AOF-produced biomass to the deep ocean. Here we explore the potential application of engineered nanoparticles (ENPs) to overcome these issues. Data from 123 studies show that some ENPs may enhance phytoplankton growth at concentrations below those likely to be toxic in marine ecosystems. ENPs may also increase bloom lifetime, boost phytoplankton aggregation and carbon export, and address …

Understanding Alcohol Use Discourse And Stigma Patterns In Perinatal Care On Twitter, Fritz Culp, Yuqi Wu, Dezhi Wu, Yang Ren, Phyllis Raynor, Peiyin Hung, Shan Qiao Ph.D., Xiaoming Li Ph.D., Kacey Eichelberger

Faculty Publications

(1) Background: perinatal alcohol use generates a variety of health risks. Social media platforms discuss fetal alcohol spectrum disorder (FASD) and other widespread outcomes, providing personalized user-generated content about the perceptions and behaviors related to alcohol use during pregnancy. Data collected from Twitter underscores various narrative structures and sentiments in tweets that reflect large-scale discourses and foster societal stigmas; (2) Methods: We extracted alcohol-related tweets from May 2019 to October 2021 using an official Twitter search API based on a set of keywords provided by our clinical team. Our exploratory study utilized thematic content analysis and inductive qualitative coding methods …

The Daily Gamecock, Switching Seasons, November 2022, University Of South Carolina, Office Of Student Media

November

No abstract provided.

Resilience Resources And Coping Strategies Of Covid-19 Female Long Haulers: A Qualitative Study, Atefeh Aghaei, Abhishek Aggarwal, Ran Zhang, Xiaoming Li Ph.D., Shan Qiao Ph.D.

Faculty Publications

Background: Female long haulers deal with persistent post-acute COVID-19 symptoms that have serious health implications. This study aimed to identify resilience resources at multiple socio-ecological levels for female long haulers and describe how resilience resources affect their responses to long COVID. Methods: Purposive sampling was adopted to recruit participants through social media from April to June 2021 followed by 15 semi-structured interviews. An inductive analytical approach was adopted to categorize themes by open and axial coding that were verified by peer review. Results: Female long haulers relied on resources at various socio-ecological levels to foster their resilience in response to …