COVID-19 Commons^™

Online Rights Defense Among Chinese Americans Against Racial Aggression In The U.S. During The Covid-19, Fangzhu Lu, Wenshan Jia

Communication Faculty Articles and Research

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Purpose

This study investigates how Chinese American communities responded to heightened racial discrimination during the COVID-19 pandemic by utilizing social media platforms to safeguard their civil rights, articulate collective concerns, and mobilize resistance against racial aggression.

Methodology

Through qualitative case study analysis, the research examines the social media activities of six advocacy organizations, including three X accounts (WashTheHate, Chinese for Affirmative Action, Asian Americans Advancing Justice) and three Instagram accounts (Stop AAPI Hate, Stop Asian Hate, Advancing Justice: AAJC). The analysis focuses on the content strategies and communication mechanisms employed to counteract racial hostility.

Findings

The selected organizations used social …

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Mechanisms Of Binding And Immune Escape Resistance For Broadly Neutralizing Antibodies Targeting Distinct Conserved Sars-Cov-2 Spike Epitopes: A Hierarchical Approach Integrating Mutational Profiling And Energy Landscape Analysis, Mohammed Alshahrani, Will Gatlin, Max Ludwick, Lucas Turano, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

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The continued evolution of SARS-CoV-2 has enabled an escape from most monoclonal antibodies, yet a subset of broadly neutralizing antibodies targeting three newly identified super-conserved RBD epitopes—SCORE-A, SCORE-B, and SCORE-C—retains remarkable activity against even the most recent JN.1-derived sublineages. Here, we employed an integrated computational framework combining conformational dynamics, mutational scanning, MM-GBSA binding energetics, and frustration profiling to dissect the molecular mechanisms by which XGI antibodies achieve broad neutralization and resistance to immune escape. Structural analysis revealed that all three SCORE epitopes share a common architecture: a highly conserved, minimally frustrated core that provides stable anchoring, flanked by peripheral regions …

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Forecasting (Nano)Medical Technologies: Lessons From The Covid-19 Pandemic For Science And Society, Vuk Uskoković

Administration and Staff Articles and Research

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Successful translation of medical devices from the bench to the bedside is conditioned by the accurate estimation of market opportunities. Because market conditions can change significantly over time, this assessment is challenging in the early stages of technological development. In this study a qualitative analysis of market trends and regulatory frameworks was conducted to assess how transient market conditions influence the development and distribution of nanomedical technologies, using nanotechnologies developed for COVID-19 as the example. The findings demonstrate that the unpredictable nature of the COVID-19 pandemic has led to a volatile market for nanomedical solutions, discouraging private sector investment and …

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Utilizing Machine Learning Techniques For Computer-Aided Covid-19 Screening Based On Clinical Data, Honglun Xu, Andrews T. Anum, Michael Pokojovy, Sreenath Chalil Madathil, Yuxin Wen, Md. Fashiar Rahman, Tzu-Liang Bill Tseng, Scott Moen, Eric Walser

Engineering Faculty Articles and Research

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The COVID-19 pandemic has highlighted the importance of rapid clinical decision-making to facilitate the efficient usage of healthcare resources. Over the past decade, machine learning (ML) has caused a tectonic shift in healthcare, empowering data-driven prediction and decision-making. Recent research demonstrates how ML was used to respond to the COVID-19 pandemic. This paper puts forth new computer-aided COVID-19 disease screening techniques using six classes of ML algorithms (including penalized logistic regression, random forest, artificial neural networks, and support vector machines) and evaluates their performance when applied to a real-world clinical dataset containing patients’ demographic information and vital indices (such as …

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A Literature Review Of The United States Of America’S Reliance On Imported Covid Personal Protective Equipment During The Pandemic, Pradip K. Shukla, Izzet Kosar, Hedieh Setayesh

Business Faculty Articles and Research

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This paper provides a literature review of United States of America’s reliance on imported Covid Personal Protective Equipment (PPEs) during the Covid pandemic. The abstracted and cited articles show that the United States was too reliant on imported PPEs, primarily imported from Asia which led to shortages as the cases of Covid surged at various points during the waves of Covid cases. This supply and demand imbalance was not just an inconvenience such as the toilet paper shortage and other supply chain disruptions of basic commodities; this supply and demand imbalance had life and death impacts for many first responders, …

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Learning From Covid-19: Clinical Trials, Health Information Technology, And Patient Mortality, Christos Nicolaides, Avinash Collis, Seth Benzell, Indranil Bardhan

Economics Faculty Articles and Research

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During the COVID-19 pandemic, deaths per case in the United States decreased from 7.46% in April 2020 to 1.76% in April 2021. One mechanism that could explain this decline is a learning effect associated with testing of new treatments by hospitals. Hospitals that participated in clinical trials developed better organizational capabilities to diagnose and treat COVID-19 patients. Simultaneously, hospitals used health information technologies (IT) that integrated health information across healthcare providers to facilitate greater learning and sharing of best practices. Using US county-level data on clinical trial participation, use of health IT, and COVID-19 cases and deaths, we show that …

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Dynamic Mutational Profiling Of Binding Interactions And Allosteric Networks In Conformational Ensembles Of The Sars-Cov-2 Spike Protein Complexes With Classes Of Antibodies Targeting Cryptic Binding Sites: Confluence Of Binding And Allostery Determines Molecular Mechanisms And Hotspots Of Immune Escape, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

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The ongoing evolution of SARS-CoV-2 variants has underscored the need to understand not only the structural basis of antibody recognition but also the dynamic and allosteric mechanisms that could underlie complexity of broad and escape-resistant neutralization. In this study, we employed a multi-scale approach integrating structural analysis, hierarchical molecular simulations, mutational scanning and network-based allosteric modeling to dissect how Class 4 antibodies (represented by S2X35, 25F9, and SA55) and Class 5 antibodies (represented by S2H97, WRAIR-2063 and WRAIR-2134) can modulate conformational behavior, binding energetics, allosteric interactions and immune escape patterns of the SARS-CoV-2 spike protein. Using hierarchical simulations of the …

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Multiscale Modeling And Dynamic Mutational Profiling Of Binding Energetics And Immune Escape For Class I Antibodies With Sars-Cov-2 Spike Protein: Dissecting Mechanisms Of High Resistance To Viral Escape Against Emerging Variants, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

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The rapid evolution of SARS-CoV-2 has underscored the need for a detailed understanding of antibody binding mechanisms to combat immune evasion by emerging variants. In this study, we investigated the interactions between Class I neutralizing antibodies—BD55-1205, BD-604, OMI-42, P5S-1H1, and P5S-2B10—and the receptor-binding domain (RBD) of the SARS-CoV-2 spike protein using multiscale modeling, which combined molecular simulations with the ensemble-based mutational scanning of the binding interfaces and binding free energy computations. A central theme emerging from this work is that the unique binding strength and resilience to immune escape of the BD55-1205 antibody are determined by leveraging a broad epitope …

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Overcoming Vaccine Hesitancy: Evidence From Italy During The Covid-19 Pandemic, Alessandro Del Ponte, Audrey De Dominicis, Paolo Canofari

Political Science Faculty Articles and Research

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Objectives

Here we investigate whether releasing COVID-19 vaccines at open-day events boosted Italy's vaccination campaign in 2021. This strategy exploits insights from psychology.

Study design

We built an original dataset covering 200 days of vaccination data in Italy, including “open day” events. Open-day events (in short: open days) are instances where COVID-19 vaccines were released only for a specific day at a specified location (usually, a large pavilion or a public building). Importantly, releasing vaccines through open days instead of the usual appointment channel leaves the supply of vaccines unaltered. Our dependent variables are the number of total and first …

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Mutational Scanning And Binding Free Energy Computations Of The Sars-Cov-2 Spike Complexes With Distinct Groups Of Neutralizing Antibodies: Energetic Drivers Of Convergent Evolution Of Binding Affinity And Immune Escape Hotspots, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Nishank Raisinghani, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

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The rapid evolution of SARS-CoV-2 has led to the emergence of variants with increased immune evasion capabilities, posing significant challenges to antibody-based therapeutics and vaccines. In this study, we conducted a comprehensive structural and energetic analysis of SARS-CoV-2 spike receptor-binding domain (RBD) complexes with neutralizing antibodies from four distinct groups (A–D), including group A LY-CoV016, group B AZD8895 and REGN10933, group C LY-CoV555, and group D antibodies AZD1061, REGN10987, and LY-CoV1404. Using coarse-grained simplified simulation models, rapid energy-based mutational scanning, and rigorous MM-GBSA binding free energy calculations, we elucidated the molecular mechanisms of antibody binding and escape mechanisms, identified key …

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Quantitative Characterization And Prediction Of The Binding Determinants And Immune Escape Hotspots For Groups Of Broadly Neutralizing Antibodies Against Omicron Variants: Atomistic Modeling Of The Sars-Cov-2 Spike Complexes With Antibodies, Mohammed Alshahrani, Vedant Parikh, Brandon Foley, Nishank Raisinghani, Gennady M. Verkhivker

Mathematics, Physics, and Computer Science Faculty Articles and Research

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A growing body of experimental and computational studies suggests that the cross-neutralization antibody activity against Omicron variants may be driven by the balance and tradeoff between multiple energetic factors and interaction contributions of the evolving escape hotspots involved in antigenic drift and convergent evolution. However, the dynamic and energetic details quantifying the balance and contribution of these factors, particularly the balancing nature of specific interactions formed by antibodies with epitope residues, remain largely uncharacterized. In this study, we performed molecular dynamics simulations, an ensemble-based deep mutational scanning of SARS-CoV-2 spike residues, and binding free energy computations for two distinct groups …

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Uncovering The Binding Mechanism Of Mutated Omicron Variants Via Computational Strategies, Sajjad Haider, Nadeem Ahmad, Muhammad Shafiq, Ali Raza Siddiqui, Mohammad Nur-E-Alam, Aftab Ahmed, Zaheer Ul-Haq

Pharmacy Faculty Articles and Research

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The COVID-19 pandemic, triggered by the SARS-CoV-2 virus, has resulted in nearly 630 million cases and 6.60 million fatalities globally, as of November 2022. SARS-CoV-2, a species of the Coronaviridae family, has a single-stranded positive-sense RNA genome as well as four main structural proteins (S, E, M, and N) required for viral entrance into target cells. The spike protein (S) influences this entry through interactions with human angiotensin-converting enzyme 2 (hACE2) receptor. The World Health Organization (WHO) recognized numerous variants of concern (VOCs) that involve Alpha, Beta, Gamma, Delta, and Omicron, having multiple mutations within the spike protein, altering infection …

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State Capacity And Covid-19 Responses: Comparing The Us States, Kiran Auerbach, Joshua Y. Lerner, Hannah M. Ridge

Political Science Faculty Articles and Research

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This article addresses the interstate differences in outcomes from the coronavirus disease COVID-19 pandemic by focusing on state capacity. State capacity refers to states’ ability to create and implement policy. We posit that states want to limit death and destruction within their borders. COVID-19 created an instance in which states had a shared, preferred outcome but had very different levels of success. Using a novel measure of state capacity that allows for subnational comparisons – and is independent of ideological political will – we show that states with greater capacity experienced fewer excess deaths during 2020 and more successfully distributed …

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Polarization, The Pandemic, And Public Trust In Health System Actors, Alessandro Del Ponte, Alan S. Gerber, Eric M. Patashnik

Political Science Faculty Articles and Research

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Context: Public opinion on the performance of health system actors is polarized today, but it remains unclear which actors enjoy the most or the least trust among Democrats and Republicans, whether the COVID-19 pandemic has influenced how people view their own physicians, and whether doctors have retained the ability to influence public beliefs about policy issues.

Methods: The authors conducted two national surveys in 2022 and 2023 to examine these questions.

Findings: Democrats rated the performance of medical research scientists and public health experts during the pandemic more highly than did Republicans and independents. About three in ten Republicans said …

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Join Or Die: How Deontological Moral Intuitions Complicate Cooperation Amid The Covid-19 Pandemic, Alessandro Del Ponte

Political Science Faculty Articles and Research

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Tackling COVID-19 requires universal collective action: everyone must play their part to reduce the spread of the virus and quell the pandemic. Yet, some people obstinately refuse to cooperate, irrespective of the consequences for themselves and others. In this note, I illustrate a key element of human psychology that hampers cooperation amid the pandemic: deontological moral intuitions. Deontological morality prescribes that moral taboos must be followed no matter the consequences. This means that people who consider Covid vaccines a moral taboo are prepared to suffer virtually any consequence rather than take the vaccine. I discuss the evolutionary basis of deontological …

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A Theory Of The Covid-19 Pandemic’S Impact On The Government-Citizen Relationship / Teorija Vpliva Pandemije Covid-19 Na Odnos Med Vlado In Državljani, Lewis Luartz

Political Science Faculty Articles and Research

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This paper explores how crises, such as the COVID- 19 pandemic, can impact political behavior amid restrictions. Specifically, this paper builds a theoretical model suggesting the pandemic promoted restriction-oriented policies from the government in response to the crisis while promoting populist tendencies among citizens who disagree with those policies. Moreover, through a formal two-player extensive form game, the model promoted in this paper suggests restrictions are unpopular enough that citizens may push back on such policies regardless of crisis severity. The theoretical outcomes here have significant implications on governance, given that politicians care about re-election.

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