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Tort Immunity In The Pandemic, Betsy J. Grey, Samantha Orwoll

Indiana Law Journal

The Covid-19 pandemic set off a public health emergency that quickly brought doctors and other health care providers to the front line, while shuttering businesses throughout the United States. In response to the emergency, the federal and state governments rapidly created broad protections from tort liability for health care providers. To encourage businesses to reopen, some states have also provided liability protection for businesses from personal injury suits brought by patrons and employees. Congress is considering similar protections for businesses as it contemplates further aid packages. Some industries, like nursing homes and universities, are lobbying for specific immunity. This Essay …

Quantification Of Sepsis Model Alerts In 24 Us Hospitals Before And During The Covid-19 Pandemic, Andrew Wong, Jie Cao, Patrick G. Lyons, Sayon Dutta, Vincent J. Major, Erkin Ötles, Karandeep Singh

Open Access Publications

No abstract provided.

Evaluation Of A Clinical Decision Support Strategy To Increase Seasonal Influenza Vaccination Among Hospitalized Children Before Inpatient Discharge, Evan W. Orenstein, Omar Elsayed-Ali, Swaminathan Kandaswamy, Erin Masterson, Reena Blanco, Pareen Shah, Patricia Lantis, Amy Kolwaite, Thomas E. Dawson, Edwin Ray, Christy Bryant, Srikant Iyer, Andi L. Shane, Stephanie Jernigan

Open Access Publications

Importance: Hospitalized children are at increased risk of influenza-related complications, yet influenza vaccine coverage remains low among this group. Evidence-based strategies about vaccination of vulnerable children during all health care visits are especially important during the COVID-19 pandemic.

Objective: To design and evaluate a clinical decision support (CDS) strategy to increase the proportion of eligible hospitalized children who receive a seasonal influenza vaccine prior to inpatient discharge.

Design, Setting, and Participants: This quality improvement study was conducted among children eligible for the seasonal influenza vaccine who were hospitalized in a tertiary pediatric health system providing care to more than half …

Pandemic, Plague, Pestilence And The Tropics: Critical Inquiries From Arts, Humanities And Social Sciences, Anita Lundberg, Kalala J. Ngalamulume, Jean Segata, Arbaayah Ali Termizi, Chrystopher J. Spicer

History Faculty Research and Scholarship

The Tropics have long been associated with exotic diseases and epidemics. This historical imaginary arose with Aristotle’s notion of the tropics as the ‘torrid zone’, a geographical region virtually uninhabitable to temperate peoples due to the hostility of its climate, and persisted in colonial imaginaries of the tropics as pestilential latitudes requiring slave labour. The tropical sites of colonialism gave rise to urgent studies of tropical diseases which lead to (racialised) changes in urban planning. The Tropics as a region of pandemic, plague and pestilence has been challenged during the COVID-19 pandemic. The novel coronavirus did not (simply) originate in …

Just Plain Dumb?: How Digital Contact Tracing Apps Could’Ve Worked Better (And Why They Never Got The Chance), Brian E. Ray

Law Faculty Articles and Essays

This essay describes how the privacy debate that emerged over digital contact tracing and Google’s and Apple’s decisions to strictly limit apps permitted to use their platforms resulted in undercutting their potential usefulness as a tool to combat the pandemic while still failing to engender trust in these tools as intended.

Benefit-Cost Analysis Of Covid-19 Policy Intervention At The State And National Level, James L. Doti

Economics Faculty Articles and Research

This study analyzes the benefits of statewide policy intervention in reducing COVID-19 deaths and the costs of that intervention in lost jobs and lower real gross state product (RGSP). Policy interventions are measured by the Oxford stringency index which places a daily numerical value on the level of a state’s policy intervention.

Empirical evidence is provided that shows policy interventions have reduced COVID-19 deaths by 375,000 lives in 2020. On the cost side, it was found that policy intervention resulted in a loss of 7.3 million jobs and a decline of $410 billion in RGSP.

The study concludes by integrating …

Imaging Patterns Of Encephalopathy In Patients With Covid-19, Kumail Khandwala, Fatima Mubarak, Nadeem Ahmad

Department of Radiology

The aim of this retrospective observational study was to describe the neuroimaging manifestations of patients with COVID-19. This study was conducted at Aga Khan University Hospital, Karachi, Pakistan from March to July 2020. COVID-19 patients with neurological symptoms and positive neuroimaging were included after confirmation of COVID-19 by polymerase chain reaction test (PCR). In the 12 included patients, seizures and altered mentation were predominant neurological manifestations. Three cases had acute watershed infarcts (25%), two cases had posterior cerebral artery territorial infarcts (16.7%), two cases had periventricular corona radiata infarcts (16.7%), three cases had hypoxic ischemic encephalopathy (25%), two cases had …

Towards An Ontology-Based Approach To The "New Normality" After Covid-19:The Spanish Case During Pandemic First Wave, Evelio Gonzalez

Turkish Journal of Electrical Engineering and Computer Sciences

The impact of the pandemic caused by COVID-19 has been immense in all fields of human activity. In most of the affected countries, the authorities have decreed a series of legal measures to try to stop the growth of the disease and the number of people affected by it. These legal measures involved, in most cases, restrictions on the free movement of people and on work and trade activities, new hygiene procedures, and social distancing. In the particular case of Spain, the rapid evolution of the pandemic led to the declaration of a so-called state of alarm and a period …

A 'Public' Journey Through Covid-19: Donald Trump, Twitter, And The Secrecy Of U.S. Presidents’ Health, Mark Fenster

UF Law Faculty Publications

Donald Trump ignored numerous governance norms in his one term as U.S. President, especially those that prescribe disclosure of official and personal financial information. His brief period of illness from COVID-19, which he broadcast to the world via his Twitter account, revealed the complexity of Trump’s relationship to the concept and norms of transparency that presume information’s necessity for a functional and accountable state. At the same time that Trump offered little in the way of coherent and authoritative information about his health, he also provided an enormous amount of seemingly “inside” and direct accounts of the progress of his …

Zoning Reformed, Michael Allan Wolf

UF Law Faculty Publications

It has been roughly a century since early advocates of zoning took notice of how crowded and congested housing conditions contributed to the spread of disease (including the then-recent H1N1 pandemic). The U.S. Supreme Court had just rejected on property rights grounds a city ordinance that expressly segregated neighborhoods by race. One hundred years later, the exposure of the weaknesses embedded in our system of public land use regulation during the crises of 2020 presents a unique and timely opportunity for serious consideration of major and minor adjustments to state statutes, local ordinances, and judicial decisions. This Article calls for …

2021 State Of The Commonwealth Report, Vinod Agarwal, Barbara Blake, Steve Daniel, Ashley Desilva, Nikki Johnson, James V. Koch, Tim Komarek, Feng Lian, Sharon Lomax, Christian Manty, Janet Molinaro, Brendan O'Hallarn, Terry Parker, Golbarg Roghani Araghi, Jake Zalewski, Robert Mcnab

State of the Commonwealth Reports

This is Old Dominion University’s seventh annual State of the Commonwealth Report. While it represents the work of many people connected in various ways to the university, the report does not constitute an official viewpoint of Old Dominion, its president, Brian O. Hemphill, Ph.D., the Board of Visitors, the Strome College of Business or the generous donors who support the activities of the Dragas Center for Economic Analysis and Policy.

With the 2021 election in the rearview mirror, the question now becomes: Where does Virginia go from here? Our work seeks to contribute to this conversation without glossing over the …

Covid-19 Vaccines And Thrombosis—Roadblock Or Dead-End Street?, Kenneth Lundstrom, Debmalya Barh, Bruce D. Uhal, Kazuo Takayama, Alaa A. A. Aljabali, Tarek Mohamed Abd El-Aziz, Amos Lal, Elrashdy M. Redwan, Parise Adadi, Gaurav Chauhan, Samendra P. Sherchan, Gajendra Kumar Azad, Nima Rezaei, Ángel Serrano-Aroca, Nicolas G. Bazan, Sk. Sarif Hassan, Pritam Kumar Panda, Pabitra Pal Choudhury, Damiano Pizzol, Ramesh Kandimalla, Wagner Baetas-Da-Cruz, Yogendra Kumar Mishra, Giorgio Palù, Adam M. Brufsky, Murtaza M. Tambuwala, Vladimir N. Uversky

Molecular Medicine Faculty Publications

Two adenovirus-based vaccines, ChAdOx1 nCoV-19 and Ad26.COV2.S, and two mRNA-based vaccines, BNT162b2 and mRNA.1273, have been approved by the European Medicines Agency (EMA), and are invaluable in preventing and reducing the incidence of coronavirus disease-2019 (COVID-19). Recent reports have pointed to thrombosis with associated thrombocytopenia as an adverse effect occurring at a low frequency in some individuals after vaccination. The causes of such events may be related to SARS-CoV-2 spike protein interactions with different C-type lectin receptors, heparan sulfate proteoglycans (HSPGs) and the CD147 receptor, or to different soluble splice variants of the spike protein, adenovirus vector interactions with the …

Pandemics And Partisanship: Following Old Paths Into Uncharted Territory, Luke Fowler, Jaclyn J. Kettler, Stephanie L. Witt

Public Policy and Administration Faculty Publications and Presentations

Although partisan politics tend be set aside during crisis, the timing of gubernatorial actions in response to COVID-19 is telling about how partisanship is shaping the way elected officials are reacting to this pandemic. Using an event history analysis, the authors find that Democratic governors responded to the White House’s attempts to downplay the severity of the pandemic by declaring emergencies in order to draw citizen attention to and to prepare for a public health crisis. On the other hand, Republican governors resisted doing so until Trump declared a national emergency on March 13; however, Republican reactions were conditional on …

Zooming Through Development: Using Video Chat To Support Family Connections., Gabrielle Strouse, Elisabeth Mcclure, Lauren Myers, Jennifer Zosh, Georgene Troseth, Olivia Blanchfield, Ellen Roche, Subul Malik, Rachel Barr

School of Education Faculty Publications

Video chat may allow young children and grandparents to develop and maintain bonds when they are physically separated because it enables them to share experiences with each other in real time. We used an ecological model framework (Bronfenbrenner and Morris, 2007) to examine factors associated with the development of the grandparent-grandchild relationship during the COVID-19 pandemic, when many families were experiencing reduced opportunities for in-person interaction. We analyzed survey data from grandparents (N = 855) and parents (N = 846) of children ages 0-5 years. Predictor variables included participant characteristics (age and education level), proximity variables (geographical distance and whether …

Covid-19 And Work-Family Conflict: A Gendered Lens Required For Developing Organizational Benefits And Programs, Qendresa Isniqi

All Graduate Theses, Dissertations, and Other Capstone Projects

The COVID-19 pandemic significantly impacted people's work and family lives. The work-family conflict has seen an increase with the onset of the pandemic as families have found themselves in complex roles such as family sustainers, teachers for their children, and family caregivers while quarantined with the same individuals for months. Concurrently there have been expectations grown from the employers to introduce effective programs or services to support employees so that an expected amount of productivity is maintained while also maintaining a sense of care for their employees. Some of the strategies suggested in the literature include flexible scheduling, leadership communication, …

Public Interest Technology – Exploring Covid-19 Health Data, Sarah Zelikovitz

Open Educational Resources

This module is part of a Introduction to Data Science course that covers the different parts of the data science process: data acquisition, cleaning, exploratory data analysis, and modeling. The COVID-19 pandemic has created much interest in public health data, as well as interest in visualization of all types of data. Public health data has a set of challenges that is unique to health data, with HIPAA laws, and real time collection of data. With COVID-19, the challenges are particularly amplified, as data collection and statistics collected are constantly changing in response to feedback from labs, hospitals, drug companies, and …

Covid-19, Courts, And The 'Realities Of Prison Administration.' Part Ii: The Realities Of Litigation, Chad Flanders

All Faculty Scholarship

Lawsuits challenging prisons and jails for not doing enough to stop the spread of COVID-19 among inmates have faced mixed results in the courts: wins at the district court level are almost always followed by losses (in the form of stays of any orders to improve conditions) at the appeals court level or at the Supreme Court. This short article tries to explain why this is happening, and makes three comparisons between how district courts and appeals courts have analyzed these lawsuits. First, district courts and appeals courts tend to emphasize different facts in their decisions. District courts focus more …

Applied Methodologies Demonstrated Through Three Independent Studies For Assessing The Effects Of Socioeconomic, Environmental Chemical Exposure, And Therapeutic Factors On Oncological Diseases And Covid-19, Bayarmagnai Maggie Munkhjargal

Legacy Theses & Dissertations (2009 - 2024)

When trying to understand risk factors for a disease, even before we know the causal agents, it is necessary to create a surveillance data set that answers the questions of who, when, and where, and includes any potential covariates which may either promote or prevent the disease. There are a wide variety of surveillance data. For example, hospital discharge data, such as the New York Statewide Planning and Research Cooperative System (SPARCS) data, encompass all hospitalized cases in the state, while clinical datasets cover a specially constructed population in pursuit of research of a certain disease type. Analysis of surveillance …

Unsafe At Any Campus: Don't Let Colleges Become The Next Cruise Ships, Nursing Homes, And Food Processing Plants, Peter H. Huang, Debra S. Austin Dr

Indiana Law Journal

The decision to educate our students via in-person or online learning environments while COVID-19 is unrestrained is a false choice, when the clear path to achieve our chief objective safely, the education of our students, can be done online. Our decision-making should be guided by the overriding principle that people matter more than money. We recognize that lost tuition revenue if students delay or defer education is an institutional concern, but we posit that many students and parents would prefer a safer online alternative to riskier in-person options, especially as we get closer to fall, and American death tolls rise. …

Crisis And Cultural Evolution: Steering The Next Normal From Self-Interest To Concern And Fairness, Robert A. Bohrer

Faculty Scholarship

This essay examines the current time of crisis and offers a vision of the way in which our society and our law can evolve in response. Crises of this scale are evolution-forcing events and I argue that the current moment can move us towards a fundamentally different vision of law and justice. It is the first essay or article to show that the autonomous pursuit of self-interest was a common assumption or value in the major intellectual forces of the twentieth century: classical free market economics, behavioral economics, and sociobiology, as well as in the competing visions of a just …

Do Initial Hematologic Indices Predict The Severity Of Covid-19 Patients?, Ali̇ Asan, Yasemi̇n Üstündağ, Ni̇zameddi̇n Koca, Abdullah Şi̇mşek, Hali̇l Erkan Sayan, Hülya Parildar, Burcu Dalyan Ci̇lo, Kağan Huysal

Turkish Journal of Medical Sciences

Background/aim: In this study, we aimed to evaluate the initial hematological findings analyzed on admission in confirmed COVID-19 patients who were transferred to the intensive care unit (ICU), to predict possible hematological indices. Materials and methods: Initial neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), monocyte to lymphocyte ratio (MLR), red cell distribution width to platelet ratio (RPR), mean platelet volume to platelet ratio, and lymphocyte multiplied by platelet count (LYM × PLT), of 695 patients with laboratory-confirmed COVID-19 were investigated and comparisons were made between the mild/moderate and severe groups. Results: The proportion of COVID-19 cases admitted …

Hydroxychloroquine Plus Azithromycin And Early Hospital Admission Are Beneficial Incovid-19 Patients: Turkish Experience With Real-Life Data, Eli̇f Tanriverdi̇, Mustafa Çörtük, Bi̇nnaz Zeynep Yildirim, Efsun Gonca Uğur Chousein, Demet Turan, Hali̇t Çinarka, Mehmet Aki̇f Özgül, Erdoğan Çeti̇nkaya

Turkish Journal of Medical Sciences

Background/aim: New treatment regimens for COVID-19, which has threatened the world recently, continue to be investigated. Although some of the treatments are promising, it is thought to be early to state that there is definitive treatment. Experiences and treatment protocol studies from treatment centers are still important. The aim of this study is to evaluate factors affecting the treatment process of the first cases followed in our clinic. Materials and methods: The consecutive hospitalized patients with COVID-19 pneumonia were analyzed in this retrospective and cross-sectional study. Data were recorded from the electronic and written files of patients. Results: Eighty-three patients …

Efficacy Of Convalescent Plasma According To Blood Groups In Covid-19 Patients, Tuba Hacibeki̇roğlu, Yasi̇n Kalpakçi, Ahmed Ci̇had Genç, İlhan Hacibeki̇roğlu, Cenk Sunu, Adem Saricaoğlu, Yakup Tomak, Oğuz Karabay, Mehmet Köroğlu

Turkish Journal of Medical Sciences

Background/aim: In this study, we aim to investigate the efficacy of convalescent plasma (CP) according to blood groups (BGs) in the treatment of critically ill patients diagnosed with COVID-19. Materials and methods: Twenty-eight critically ill and laboratory-confirmed COVID-19 patients who were admitted to the intensive care unit (ICU) of Sakarya University, Medical Faculty were included in the study. Patients were divided into 2 groups: patients who received anti-A antibody (Ab) containing CP (BG O and B) and those who did not receive CP containing anti-A Ab (BG A and AB). Results: Among the 28 patients, 13 patients received anti-A Ab …

Projecting The Course Of Covid-19 In Turkey: A Probabilistic Modeling Approach, Aybar Can Acar, Ahmet Görkem Er, Hüseyi̇n Cahi̇t Burduroğlu, Seher Nur Sülkü, Yeşi̇m Aydin Son, Levent Akin, Serhat Ünal

Turkish Journal of Medical Sciences

Background/aim: The COVID-19 pandemic originated in Wuhan, China, in December 2019 and became one of the worst global health crises ever. While struggling with the unknown nature of this novel coronavirus, many researchers and groups attempted to project the progress of the pandemic using empirical or mechanistic models, each one having its drawbacks. The first confirmed cases were announced early in March, and since then, serious containment measures have taken place in Turkey. Materials and methods: Here, we present a different approach, a Bayesian negative binomial multilevel model with mixed effects, for the projection of the COVID-19 pandemic and we …

Amid Dual Pandemics Of Covid-19 And Racism: Helping Black Doctoral Students Thrive, Radha J. Horton-Parker, Judith Wambui Preston

Counseling & Human Services Faculty Publications

How can we help Black doctoral students thrive in a world of COVID-19 and racism? In the special issue’s final contribution, we explore this question first by identifying the longstanding challenges Black doctoral students have faced in higher education. Examples of such challenges include structural racism, microaggressions, and biases based on the intersectionality of race, gender, sexual orientation, and socioeconomic status. We next address how the “dual pandemics” of COVID-19 and racial injustice have magnified such challenges. Then, we consider how institutions can better support Black doctoral students by recruiting and retaining faculty of color and enhancing student support initiatives. …

Current Mutatome Of Sars-Cov-2 In Turkey Reveals Mutations Of Interest, Doğa Eski̇er, Evren Akalp, Özlem Dalan, Gökhan Karakülah, Yavuz Oktay

Turkish Journal of Biology

As the underlying pathogen for the COVID-19 pandemic that has affected tens of millions of lives worldwide, SARS-CoV-2 and its mutations are among the most urgent research topics worldwide. Mutations in the virus genome can complicate attempts at accurate testing or developing a working treatment for the disease. Furthermore, because the virus uses its own proteins to replicate its genome, rather than host proteins, mutations in the replication proteins can have cascading effects on the mutation load of the virus genome. Due to the global, rapidly developing nature of the COVID-19 pandemic, local demographics of the virus can be difficult …

A Deep Transfer Learning Based Model For Automatic Detection Of Covid-19from Chest X-Rays, Prateek Chhikara, Prakhar Gupta, Prabhjot Singh, Tarunpreet Bhatia

Turkish Journal of Electrical Engineering and Computer Sciences

Deep learning in medical imaging has revolutionized the way we interpret medical data, as high computational devices' capabilities are far more than their creators. With the pandemic causing havoc for the second straight year, the findings in our paper will allow researchers worldwide to use and create state-of-the-art models to detect affected persons before it reaches the R number. The paper proposes an automated diagnostic tool using the deep learning models on chest x-rays as an input to reach a point where we surpass this pandemic (COVID-19 disease). A deep transfer learning-based model for automatic detection of COVID-19 from chest …

Deep Learning-Based Covid-19 Detection System Using Pulmonary Ct Scans, Rajit Nair, Adi Alhudhaif, Deepika Koundal, Rumi Iqbal Doewes, Preeti Sharma

Turkish Journal of Electrical Engineering and Computer Sciences

One of the most significant pandemics has been raised in the form of Coronavirus disease 2019 (COVID19). Many researchers have faced various types of challenges for finding the accurate model, which can automatically detect the COVID-19 using computed pulmonary tomography (CT) scans of the chest. This paper has also focused on the same area, and a fully automatic model has been developed, which can predict the COVID-19 using the chest CT scans. The performance of the proposed method has been evaluated by classifying the CT scans of community-acquired pneumonia (CAP) and other non-pneumonia. The proposed deep learning model is based …

Effects Of Covid-19 On Electric Energy Consumption In Turkey And Ann-Basedshort-Term Forecasting, Harun Özbay, Adem Dalcali

Turkish Journal of Electrical Engineering and Computer Sciences

: Due to the coronavirus, millions of people worldwide carry out their work, education, shopping, culture, and entertainment activities from their homes now using the advantages of today's technology. Apart from this, patient care and follow-up are carried out with the help of electronic equipment especially in the institutions where health services are provided. It is important to provide a reliable electricity supply for humanity so that people can perform all these services. In this study, the outlook of energy in Turkey was examined. The current energy consumption and investments were examined. Then, the precautions by the government in the …

Soft $\Beta$-Rough Sets And Their Application To Determine Covid-19, Mostafa K. El Bably, Abd El Fattah A. El Atik

Turkish Journal of Mathematics

Soft rough set theory has been presented as a basic mathematical model for decision-making for many real-life data. However, soft rough sets are based on a possible fusion of rough sets and soft sets which were proposed by Feng et al. [20]. The main contribution of the present article is to introduce a modification and a generalization for Feng's approximations, namely, soft $\beta$-rough approximations, and some of their properties will be studied. A comparison between the suggested approximations and the previous one [20] will be discussed. Some examples are prepared to display the validness of these proposals. Finally, we put …