Digital Commons Network^™

“Khi Mô Về?” (When Will You Go Home?) Evocative Autoethnography On Death, Impermanence, And Time-Space Extension, Kien Nguyen-Trung

The Qualitative Report

This article is motivated by my personal wish to pay tribute to my beloved grandfather, who passed away during the COVID-19 pandemic while I was stranded in Australia. Relying on an evocative autoethnography of a grandson, a father, a PhD candidate and graduate, and a researcher, and in reference to the concepts of place-making theories such as time-space expansion, I tried to embrace my experience of grief and loss as well as to make sense of my feelings of distance, impermanence, and death during this chaotic period. The story I will tell below chronicles my emotional and spiritual journey from …

Factors Related To Performance Problems Of Distance Education Among Primary School Pupils Under Covid-19 And Confrontation Mechanisms (A Field Study), B. K. Alenzi

Information Sciences Letters

The present research paper aims to identify the factors related to performance problems of distance education among primary school pupils under COVID-19 and their confrontation mechanisms. It adopted the descriptive analytical method and applied a questionnaire to collect data. The population of the search covered all primary school teachers numbered (13364) in (487) primary public schools in Riyadh, whereas the sample included (695) teachers in public schools in Riyadh. The results showed that the high effect size of the problems-related social factors scored (4.18), the high effect size of the problems-related economic factors scored (4.09), the high effect size of …

Preliminary Incidence And Trends Of Infections Caused By Pathogens Transmitted Commonly Through Food - Foodborne Diseases Active Surveillance Network, 10 U.S. Sites, 2016-2021, Jennifer P. Collins, Hazel J. Shah, Daniel Lowell Weller, Logan Ray, Kirk Smith, Suzanne Mcguire, Rosalie T. Trevejo, Rachel H. Jervis, Duc J. Vugia, Tamara Rissman, Katie N. Garman, Sarah Lathrop, Bethany Laclair, Michelle M. Boyle, Stic Harris, Joanna Zablotsky Kufel, Robert V. Tauxe, Beau B. Bruce, Erica Billig Rose, Patricia M. Griffin, Daniel C. Payne

Pathology Research and Scholarship

To evaluate progress toward prevention of enteric infections in the United States, the Foodborne Diseases Active Surveillance Network (FoodNet) conducts active population-based surveillance for laboratory-diagnosed infections caused by Campylobacter, Cyclospora, Listeria, Salmonella, Shiga toxin-producing Escherichia coli (STEC), Shigella, Vibrio, and Yersinia at 10 U.S. sites. This report summarizes preliminary 2021 data and describes changes in annual incidence compared with the average annual incidence for 2016-2018, the reference period for the U.S. Department of Health and Human Services' (HHS) Healthy People 2030 goals for some pathogens (1). During 2021, the incidence of infections caused by Salmonella decreased, incidence of infections caused …

Respiratory Virus Surveillance Among Children With Acute Respiratory Illnesses - New Vaccine Surveillance Network, United States, 2016-2021, Ariana Perez, Joana Y Lively, Aaron Curns, Geoffrey A Weinberg, Natasha B Halasa, Mary Allen Staat, Peter G Szilagyi, Laura S Stewart, Monica M Mcneal, Benjamin Clopper, Yingtao Zhou, Brett L Whitaker, Elizabeth Lemasters, Elizabeth Harker, Janet A Englund, Eileen J Klein, Rangaraj Selvarangan, Christopher J Harrison, Julie A Boom, Leila C Sahni, Marian G Michaels, John V Williams, Gayle E Langley, Susan I Gerber, Angela Campbell, Aron J Hall, Brian Rha, Meredith Mcmorrow

Faculty, Staff and Student Publications

The New Vaccine Surveillance Network (NVSN) is a prospective, active, population-based surveillance platform that enrolls children with acute respiratory illnesses (ARIs) at seven pediatric medical centers. ARIs are caused by respiratory viruses including influenza virus, respiratory syncytial virus (RSV), human metapneumovirus (HMPV), human parainfluenza viruses (HPIVs), and most recently SARS-CoV-2 (the virus that causes COVID-19), which result in morbidity among infants and young children (1-6). NVSN estimates the incidence of pathogen-specific pediatric ARIs and collects clinical data (e.g., underlying medical conditions and vaccination status) to assess risk factors for severe disease and calculate influenza and COVID-19 vaccine effectiveness. Current NVSN …

Respiratory Virus Surveillance Among Children With Acute Respiratory Illnesses - New Vaccine Surveillance Network, United States, 2016-2021., Ariana Perez, Joana Y. Lively, Aaron Curns, Geoffrey A. Weinberg, Natasha B. Halasa, Mary Allen Staat, Peter G. Szilagyi, Laura S. Stewart, Monica M. Mcneal, Benjamin Clopper, Yingtao Zhou, Brett L. Whitaker, Elizabeth Lemasters, Elizabeth Harker, Janet A. Englund, Eileen J. Klein, Rangaraj Selvarangan, Christopher J. Harrison, Julie A. Boom, Leila C. Sahni, Marian G. Michaels, John V. Williams, Gayle E. Langley, Susan I. Gerber, Angela Campbell, Aron J. Hall, Brian Rha, Meredith Mcmorrow, New Vaccine Surveillance Network Collaborators

Manuscripts, Articles, Book Chapters and Other Papers

The New Vaccine Surveillance Network (NVSN) is a prospective, active, population-based surveillance platform that enrolls children with acute respiratory illnesses (ARIs) at seven pediatric medical centers. ARIs are caused by respiratory viruses including influenza virus, respiratory syncytial virus (RSV), human metapneumovirus (HMPV), human parainfluenza viruses (HPIVs), and most recently SARS-CoV-2 (the virus that causes COVID-19), which result in morbidity among infants and young children (1-6). NVSN estimates the incidence of pathogen-specific pediatric ARIs and collects clinical data (e.g., underlying medical conditions and vaccination status) to assess risk factors for severe disease and calculate influenza and COVID-19 vaccine effectiveness. Current NVSN …

Understanding Costa Rica's Response To The Covid-19 Pandemic: Competing Explanations, Lise Charles

The Journal of International Relations, Peace Studies, and Development

As the COVID-19 pandemic continues to have major impacts on the world, careful study of successful health systems is essential. Costa Rica has been identified as a country that has responded well to the pandemic with the proportion of death rates compared to infection rates being the lowest in comparison to other countries in Central America. This paper examines Costa Rica’s relatively successful response to the COVID-19 pandemic as a case study in good public healthcare management. This study also highlights the importance of theory for addressing urgent, practical development challenges to explore what theoretical frameworks can best explain the …

Case Growth Analysis To Inform Local Response To Covid-19 Epidemic In A Diverse Us Community, Marcia C De Oliveira Otto, Frances A Brito, Ji Yun Tark, Eric Bakota, Jose-Miguel Yamal, Dritana Marko, Shreela V Sharma, Michael R Brown, Savitri N Appana, Alison M Rector, Stephen H Linder, Jennifer Kiger, Karen C Tseng, Alanna C Morrison, Eric Boerwinkle

Faculty, Staff and Student Publications

Early detection of new outbreak waves is critical for effective and sustained response to the COVID-19 pandemic. We conducted a growth rate analysis using local community and inpatient records from seven hospital systems to characterize distinct phases in SARS-CoV-2 outbreak waves in the Greater Houston area. We determined the transition times from rapid spread of infection in the community to surge in the number of inpatients in local hospitals. We identified 193,237 residents who tested positive for SARS-CoV-2 via molecular testing from April 8, 2020 to June 30, 2021, and 30,031 residents admitted within local healthcare institutions with a positive …

Effectiveness Of The Ad26.Cov2.S (Johnson & Johnson) Coronavirus Disease 2019 (Covid-19) Vaccine For Preventing Covid-19 Hospitalizations And Progression To High Disease Severity In The United States, Nathaniel M Lewis, Hilary M Babcock, Jennie H Kwon, Et Al.

2020-Current year OA Pubs

Background . Adults in the United States (US) began receiving the adenovirus vector coronavirus disease 2019 (COVID-19) vaccine, Ad26.COV2.S (Johnson & Johnson [Janssen]), in February 2021. We evaluated Ad26.COV2.S vaccine effectiveness (VE) against COVID-19 hospitalization and high disease severity during the first 10 months of its use. Methods . In a multicenter case-control analysis of US adults (≥18 years) hospitalized 11 March to 15 December 2021, we estimated VE against susceptibility to COVID-19 hospitalization (VEs), comparing odds of prior vaccination with a single dose Ad26.COV2.S vaccine between hospitalized cases with COVID-19 and controls without COVID-19. Among hospitalized patients with COVID-19, …

Certified Nursing Assistant Turnover In The Long-Term Care Facility Industry, Michael Leroy Gregory

Doctoral Dissertations and Projects

Employee turnover in long-term care facilities results in increased operational costs and a reduction in the quality of care delivered. The purpose of this correlational study was to investigate the relationships between employee turnover intention of certified nursing assistants working in long-term care facilities and employee compensation, engagement, job satisfaction, motivation, perceived work stress during the COVID-19 pandemic, and work environment. The population of interest consisted of CNAs over the age of 17, with at least two years of experience working in the central Texas long-term care industry. Herzberg’s motivation-hygiene theory served as the theoretical framework underpinning this study. Multiple …

Newsletter, Fall 2022

Newsletter

No abstract provided.

Challenges, Opportunities, And Adaptations Of A College Preparatory 4-H Youth Development Program During Covid-19, Emily M. Davis, Ann Sansing, Jasmine Harris-Speight, Mary Nelson Robertson, David Buys

Journal of Youth Development

SARS-CoV-2 (COVID-19) has proliferated across the United States, and in the process, it has disrupted all sense of normalcy. Because adolescents are in a critical period for growth and development, youth are particularly susceptible to negative impacts of disruption from COVID-19. Therefore, sustaining youth development programs is essential to ensuring positive youth development occurs despite significant challenges. Unfortunately, the implementation of programs that maintain safety precautions can be challenging. Many programs have been forced to either cancel all activities or to transition program elements to a virtual format. Rural Medical and Science Scholars (RMSS) program administrative staff made the decision …

Examining Social Media Views On Post-Pandemic Tourism Rebuilding: The Case Of Twitter, Muharrem Tuna, Nilgun Demirel Ili, Onur Celen

University of South Florida (USF) M3 Publishing

The world is trying to keep up with the COVID-19 pandemic's new normal conditions. The ongoing pandemic has adversely affected global tourism sectors and their activities like all sectors. Institutions and organizations in various countries, especially UNWTO, are taking initiatives to ensure the recovery of the tourism sector, which has been seriously affected by the COVID-19 pandemic. Therefore, the case study design, one of the qualitative analysis methods, was used to examine the views on social media activity (motivation) that occurred for the resumption of tourism. In the study, the effects of the pandemic on tourism were determined and a …

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

Faculty, Staff and Student Publications

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

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

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

Faculty, Staff and Student Publications

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

METHODS: This was a randomised, …

Controlling Sars Related Illnesses In The Indoor Environment Using Hvac Ventilation Techniques, Natalie Mansson

Construction Management Theses

The COVID-19 pandemic has brought on a need for better ventilation systems due to the deadly spreading of the SARS-CoV and SARS-CoV-2 illness through the air. As the positivity rate increases sharply, this study is pertinent in the fight against the virus. The implementation of MERV filters and ventilation rates while also understanding respiratory droplets and how they move through the air is an important part of understanding airborne transmission. Much research has been done on MERV filtration and respiratory droplets and their traveling methods in the air, and this research aims to find the commonalities between prior research, and …

Covid-19 Diagnosis System Using Simpnet Deep Model, Tarza Hasan Abdullah, Fattah Alizadeh, Berivan Hasan Abdullah

Baghdad Science Journal

After the outbreak of COVID-19, immediately it converted from epidemic to pandemic. Radiologic images of CT and X-ray have been widely used to detect COVID-19 disease through observing infrahilar opacity in the lungs. Deep learning has gained popularity in diagnosing many health diseases including COVID-19 and its rapid spreading necessitates the adoption of deep learning in identifying COVID-19 cases. In this study, a deep learning model, based on some principles has been proposed for automatic detection of COVID-19 from X-ray images. The SimpNet architecture has been adopted in our study and trained with X-ray images. The model was evaluated on …

Spatial And Age Disparities In Covid-19 Outcomes, Qian Huang

Theses and Dissertations

COVID-19 has caused significant social, economic, environmental, and political impacts globally and affected communities unequally in the U.S. The pandemic has also sparked interest in age-specific manifestations of infection, for example, studies confirmed the risk of increasing age with COVID-19 severity. However, the nonstationarity effects of health determinants among age groups have not been well examined. This study aims to explore the nonstationarity effects of social, behavioral, environmental, health care access, and political contexts on COVID-19 outcomes. This study poses three broad questions: 1) how did COVID-19 vaccinations align with COVID-19 daily cases and deaths in the United States; 2) …

Network Thermodynamics-Based Scalable Compartmental Model For Multi-Strain Epidemics, Joseph Pateras, Ashwin Vaidya, Preetam Ghosh

Department of Mathematics Faculty Scholarship and Creative Works

SARS-CoV-2 continues to upend human life by posing novel threats related to disease spread and mutations. Current models for the disease burden of SARS-CoV-2 consider the aggregate nature of the virus without differentiating between the potency of its multiple strains. Hence, there is a need to create a fundamental modeling framework for multi-strain viruses that considers the competing viral pathogenic pathways. Alongside the consideration that other viral pathogens may coexist, there is also a need for a generalizable modeling framework to account for multiple epidemics (i.e., multi-demics) scenarios, such as influenza and COVID-19 occurring simultaneously. We present a fundamental network …

Monkeypox: What Do Dental Professionals Need To Know?, Charifa Zemouri, Edgar O Beltrán, Richard Holliday, Nicholas S Jakubovics, James R Allison

Faculty, Staff and Student Publications

Infection control is critical for the safe delivery of dental care. Infection control practices must be responsive to emerging and re-emerging infectious diseases and outbreaks, as was clearly seen during the peak of the COVID-19 pandemic. An emerging global outbreak of the monkeypox virus has again raised potential challenges for infection control in dentistry. Monkeypox is an infectious disease, characterised by a rash affecting the skin and soft tissues, including the oral cavity. Previously, cases were mostly seen following contact with infected animals in Central and West Africa, with limited human-to-human transmission within and outside of these areas. However, since …

Predicting The Level Of Respiratory Support In Covid-19 Patients Using Machine Learning, Hisham Abdeltawab, Fahmi Khalifa, Yaser Elnakieb, Ahmed Elnakib, Fatma Taher, Norah Saleh Alghamdi, Harpal Singh Sandhu, Ayman El-Baz

All Works

In this paper, a machine learning-based system for the prediction of the required level of respiratory support in COVID-19 patients is proposed. The level of respiratory support is divided into three classes: class 0 which refers to minimal support, class 1 which refers to non-invasive support, and class 2 which refers to invasive support. A two-stage classification system is built. First, the classification between class 0 and others is performed. Then, the classification between class 1 and class 2 is performed. The system is built using a dataset collected retrospectively from 3491 patients admitted to tertiary care hospitals at the …

A Dynamic Sir Model For The Spread Of Novel Coronavirus Disease 2019 (Covid-19) In Malaysia, Nur Aziean Mohd Idris, Siti Khadijah Mohtar, Zaileha Md Ali, Khadijah Abdul Hamid

Malaysian Journal of Computing (MJoC)

The emergence of the first coronavirus disease 2019 (COVID-19) case in Malaysia has increased the number of infected cases. Hence, this study proposes a Susceptible-Infected-Recovery (SIR) epidemiological model of the COVID-19 epidemic to portray the outbreak's situation. The SIR model is numerically solved using the Fourth-order Runge-Kutta (RK4) method in Matlab®. The Euler method verifies that the graphical results of the SIR model are reliable and valid. In addition, this study analyses the stability of disease-free and endemic equilibriums of the SIR model by the Jacobian matrix. The results show the outbreak for phase 1 occurs in the first 100 …

The Association Of Baseline Plasma Sars-Cov-2 Nucleocapsid Antigen Level And Outcomes In Patients Hospitalized With Covid-19, Activ-3/Tico Study Group, Angela J Rogers, Deborah Wentworth, Andrew Phillips, Katy Shaw-Saliba, Robin L Dewar, Neil R Aggarwal, Abdel G Babiker, Weizhong Chang, Nila J Dharan, Victoria J Davey, Elizabeth S Higgs, Norman Gerry, Adit A Ginde, J W Awori Hayanga, Helene Highbarger, Jeroen L Highbarger, Mamta K Jain, Virginia Kan, Kami Kim, Perrine Lallemand, Bradley G Leshnower, Joseph K Lutaakome, Gail Matthews, Ahmad Mourad, Eleftherios Mylonakis, Ven Natarajan, Maria L Padilla, Lavannya M Pandit, Roger Paredes, Sarah Pett, Srikanth Ramachandruni, M Tauseef Rehman, Brad T Sherman, D Clark Files, Samuel M Brown, Michael A Matthay, B Taylor Thompson, James D Neaton, H Clifford Lane, Jens D Lundgren

Faculty, Staff and Students Publications

BACKGROUND: Levels of plasma SARS-CoV-2 nucleocapsid (N) antigen may be an important biomarker in patients with COVID-19 and enhance our understanding of the pathogenesis of COVID-19.

OBJECTIVE: To evaluate whether levels of plasma antigen can predict short-term clinical outcomes and identify clinical and viral factors associated with plasma antigen levels in hospitalized patients with SARS-CoV-2.

DESIGN: Cross-sectional study of baseline plasma antigen level from 2540 participants enrolled in the TICO (Therapeutics for Inpatients With COVID-19) platform trial from August 2020 to November 2021, with additional data on day 5 outcome and time to discharge.

SETTING: 114 centers in 10 countries. …

The Association Of Baseline Plasma Sars-Cov-2 Nucleocapsid Antigen Level And Outcomes In Patients Hospitalized With Covid-19, Angela J Rogers, Deborah Wentworth, Andrew Phillips, Katy Shaw-Saliba, Robin L Dewar, Neil R Aggarwal, Abdel G Babiker, Weizhong Chang, Nila J Dharan, Victoria J Davey, Elizabeth S Higgs, Norman Gerry, Adit A Ginde, J W Awori Hayanga, Helene Highbarger, Jeroen L Highbarger, Mamta K Jain, Virginia Kan, Kami Kim, Perrine Lallemand, Bradley G Leshnower, Joseph K Lutaakome, Gail Matthews, Ahmad Mourad, Eleftherios Mylonakis, Ven Natarajan, Maria L Padilla, Lavannya M Pandit, Roger Paredes, Sarah Pett, Srikanth Ramachandruni, M Tauseef Rehman, Brad T Sherman, D Clark Files, Samuel M Brown, Michael A Matthay, B Taylor Thompson, James D Neaton, H Clifford Lane, Jens D Lundgren

Faculty, Staff and Students Publications

BACKGROUND: Levels of plasma SARS-CoV-2 nucleocapsid (N) antigen may be an important biomarker in patients with COVID-19 and enhance our understanding of the pathogenesis of COVID-19.

OBJECTIVE: To evaluate whether levels of plasma antigen can predict short-term clinical outcomes and identify clinical and viral factors associated with plasma antigen levels in hospitalized patients with SARS-CoV-2.

DESIGN: Cross-sectional study of baseline plasma antigen level from 2540 participants enrolled in the TICO (Therapeutics for Inpatients With COVID-19) platform trial from August 2020 to November 2021, with additional data on day 5 outcome and time to discharge.

SETTING: 114 centers in 10 countries. …

Giving Heroes Their Shields: Providing More Immunity To The Healthcare Industry During The Covid-19 Pandemic, Gabriella Levine

Journal of Civil Rights and Economic Development

(Excerpt)

The year is 2022. We are experiencing a global pandemic and economic uncertainty. And while traffic might have improved, as many work remotely and socially distance, everything else is unknown as people are face-to-face with death. The future has never looked bleaker.

As of September 12, 2022, there were 1,044,461 Coronavirus (“COVID-19”) related deaths and 94,973,074 reported COVID-19 cases in the United States (“U.S.”). The effects of COVID-19 impacted people who contracted the disease, family members who lost someone, and people at risk who have been in isolation for over one year.

Another group that has been heavily affected …

Public Health Information Seeking, Trust, And Covid-19 Prevention Behaviors: Cross-Sectional Study, Emmanuel Kwabena Tetteh, Todd Combs, Elvin Hsing Geng, Virginia Ruth Mckay

2020-Current year OA Pubs

BACKGROUND: Preventative health measures such as shelter in place and mask wearing have been widely encouraged to curb the spread of the COVID-19 disease. People's attitudes toward preventative behaviors may be dependent on their sources of information and trust in the information.

OBJECTIVE: The aim of this study was to understand the relationship between trusting in COVID-19 information and preventative behaviors in a racially and politically diverse metropolitan area in the United States.

METHODS: We conducted a web-based cross-sectional survey of residents in St. Louis City and County in Missouri. Individuals aged ≥18 years were eligible to participate. Participants were …

A Novel Piggyback Strategy For Mrna Delivery Exploiting Adenovirus Entry Biology, Myungeun Lee, Paul J Rice-Boucher, Logan Thrasher Collins, Ernst Wagner, Lorenzo Aulisa, Jeffrey Hughes, David T Curiel

2020-Current year OA Pubs

Molecular therapies exploiting mRNA vectors embody enormous potential, as evidenced by the utility of this technology for the context of the COVID-19 pandemic. Nonetheless, broad implementation of these promising strategies has been restricted by the limited repertoires of delivery vehicles capable of mRNA transport. On this basis, we explored a strategy based on exploiting the well characterized entry biology of adenovirus. To this end, we studied an adenovirus-polylysine (AdpL) that embodied "piggyback" transport of the mRNA on the capsid exterior of adenovirus. We hypothesized that the efficient steps of Ad binding, receptor-mediated entry, and capsid-mediated endosome escape could provide an …

Transmission Roles Of Symptomatic And Asymptomatic Covid-19 Cases: A Modelling Study, Jianbin Tan, Yang Ge, Leonardo Martinez, Jimin Sun, Changwei Li, Adrianna Westbrook, Enfu Chen, Jinren Pan, Yang Li, Wei Cheng, Feng Ling, Zhinping Chen, Ye Shen, Hui Huang

Faculty Publications

Coronavirus disease 2019 (COVID-19) asymptomatic cases are hard to identify, impeding transmissibility estimation. The value of COVID-19 transmissibility is worth further elucidation for key assumptions in further modelling studies. Through a population-based surveillance network, we collected data on 1342 confirmed cases with a 90-days follow-up for all asymptomatic cases. An age-stratified compartmental model containing contact information was built to estimate the transmissibility of symptomatic and asymptomatic COVID-19 cases. The difference in transmissibility of a symptomatic and asymptomatic case depended on age and was most distinct for the middle-age groups. The asymptomatic cases had a 66.7% lower transmissibility rate than symptomatic …

The Lived Social Experience Of Covid-19 Survivors In Southwestern Nigeria, Endurance Uzobo, Ijeoma Nwanwene, Tolulope Funmilola Ojo

Journal of Social, Behavioral, and Health Sciences

The traditional perceptions of disease causation often reinforce the feelings of stigmatization and discrimination towards individuals who have recovered from an illness. This study investigated the existing social practices with regard to stigmatization and discrimination against COVID-19 survivors in Southwest Nigeria. Using the Psychoanalytic Theory, this phenomenological qualitative study utilized the snowball sampling method and an in-depth interview to sample 25 COVID-19 survivors in Southwest Nigeria. Collected data for this study were analyzed thematically, using content analysis with the aid of the ATLAS.ti software. Findings from the study indicated that COVID-19 survivors generally experience sympathy, hostility, mockery, and social exclusion. …

Attitudes Toward Covid-19 And Covid-19 Vaccinations Among Athletic Trainers, Stephen A. Cage, Paul Mcgaha, Monica Matocha, Michelle Crum, Phd, Cathy Fieseler, Laurel Trail, Brandon J. Warner, Diana M. Gallegos

Internet Journal of Allied Health Sciences and Practice

Purpose: Following the beginning of the pandemic brought about by the novel coronavirus which causes COVID-19, the first COVID-19 vaccination received emergency use authorization in the United States of America in December of 2020. Current research has shown the authorized COVID-19 vaccines are safe and effective at preventing severe illness, hospitalizations and death have a good safety profile. Additionally, the side effects associated with these vaccines are typically mild to moderate while the protection against hospitalization and severe disease is substantial. (https://www.cdc.gov/coronavirus/2019-ncov/vaccines/safety/adverse-events.html). At the time of this study, there appears to be a paucity in the research related …

Electrochemical Biosensing And Deep Learning-Based Approaches In The Diagnosis Of Covid-19: A Review, Omer Sadak, Ferhat Sadak, Ozal Yildirim, Nicole M. Iverson, Rizwan Qureshi, Muhammed Talo, Chui Ping Ooi, U. Rajendra Acharya, Sundaram Gunasekaran, Tanvir Alam

Department of Agricultural and Biological Systems Engineering: Faculty Publications

COVID-19 caused by the transmission of SARS-CoV-2 virus taking a huge toll on global health and caused life-threatening medical complications and elevated mortality rates, especially among older adults and people with existing morbidity. Current evidence suggests that the virus spreads primarily through respiratory droplets emitted by infected persons when breathing, coughing, sneezing, or speaking. These droplets can reach another person through their mouth, nose, or eyes, resulting in infection. The "gold standard'' for clinical diagnosis of SARS-CoV-2 is the laboratory-based nucleic acid amplification test, which includes the reverse transcription-polymerase chain reaction (RT-PCR) test on nasopharyngeal swab samples. The main concerns …