Digital Commons Network^™

Audience Preferences For Extension Forestry Zoom Webinars, Kevin W. Zobrist, Brendan J. Whyte

The Journal of Extension

The Washington State University Extension Forestry program switched to all online programming in 2020 in response to the COVID-19 pandemic. Over 2,000 people participated in our webinars, providing an opportunity to survey a large audience about their webinar preferences. We found that people prefer webinars that are approximately an hour long and offered in the evening or late morning. Participants placed high importance on having a recording available, but they had mixed views on including video of the instructor speaking. Participants found online delivery to be successful and had a strong preference for online programming in the future.

Implementation Of Digital Health In Addressing Global Threats: Lessons From The Use Of Technology During Covid-19 Pandemic In Indonesia, Naili Shifa, Anisa Tiasari, Kemal N. Siregar

Kesmas

This research conducted a systematic literature review to explore the implementation of digital health in Indonesia, focusing on the digital health policies, usage during the COVID-19 pandemic, benefits, and lessons learned. The study identified 10 relevant journals through database searches and analyzed the trends in publication, productive journals, and top institutions involved in digital health research. The findings revealed an increasing interest in digital health, with a growing number of published articles from 2021 to 2023. ScienceDirect emerged as the most productive journal, followed by PubMed and MDPI. The University of Indonesia and the University of Gajah Mada were the …

Fitting A Covid-19 Model Incorporating Senses Of Safety And Caution To Local Data From Spartanburg County, South Carolina, D. Chloe Griffin, Amanda Mangum

CODEE Journal

Common mechanistic models include Susceptible-Infected-Removed (SIR) and Susceptible-Exposed-Infected-Removed (SEIR) models. These models in their basic forms have generally failed to capture the nature of the COVID-19 pandemic's multiple waves and do not take into account public policies such as social distancing, mask mandates, and the ``Stay-at-Home'' orders implemented in early 2020. While the Susceptible-Vaccinated-Infected-Recovered-Deceased (SVIRD) model only adds two more compartments to the SIR model, the inclusion of time-dependent parameters allows for the model to better capture the first two waves of the COVID-19 pandemic when surveillance testing was common practice for a large portion of the population. We find …

Fostering Corporate Resilience: Assessing Risk Management Committee Effectiveness In Malaysia’S Telecommunication And Media Sector Pre- And During The Covid-19, Flicia Rimin, Siti Rahayu Beli, Anastasiah Harbi, Imbarine Bujang, Jamaliah Said

ASEAN Journal on Science and Technology for Development

The COVID-19 pandemic has significantly impacted organizations, underscoring the critical role of financial factors in determining performance. Maintaining a healthy financial stance during crises necessitates effective risk management, prompting the exploration of a Risk Management Committee (RMC) as a focal point for addressing risk issues and managing internal controls. A study spanning 2017 to 2021 assessed 11 listed companies in the Telecommunication and Media Sector, revealing that a combined RMC did not enhance financial performance, indicating its ineffectiveness during the crisis. The study advocates for a separate risk management committee due to the audit committee’s limitations in performing both functions. …

Impact Of Covid-19 On Recruitment Of High School Athletes To Di Track And Field, Christopher Haub, Jon Paugh, Alonso Salcido, Monnie Mcgee

SMU Data Science Review

Due to COVID-19, in the spring of 2020, the NCAA gave scholarship athletes an extra year of eligibility but did not increase the number of scholarships a school could issue. This potentially led to increased competition for scholarships as coaches could choose between retaining athletes or recruiting new ones. Furthermore, the Spring 2020 track and field season for high school seniors ended early – limiting high school athletes’ chance to get their best scores, and interrupting student to college interaction. This research looks specifically at the impact of COVID-19, and the resulting NCAA policy changes, on the recruitment to DI …

(R2059) Modeling The Spread Of Coronavirus With Self-Protection And Quarantine Effect, Dileep Sharma, Agraj Tripathi, Ram Naresh Tripathi

Applications and Applied Mathematics: An International Journal (AAM)

A nonlinear mathematical model to study the effect of transmission dynamics of COVID-19 virus in a population with variable size structure is proposed and analyzed. The model divides the total human population into five subclasses: susceptibles, self-protected susceptibles, infectives, quarantined infectives, and recovered population including a class representing cumulative density of coronavirus in the environmental reservoir. The model exhibits two equilibria, namely, the diseasefree and the endemic equilibrium. Model analysis reveals the global dynamics of the spread of COVID-19 is completely determined by the basic reproduction number. If basic reproduction number is greater than one, the endemic equilibrium is locally …

The Impacts Of The Covid-19 Pandemic On Mental Health Across Different Genders And Sexualities, Jiale Zhu, Jonas Katona

Undergraduate Research Journal for the Human Sciences

Current studies report an increase in psychological distress as a result of the COVID-19 pandemic. This study is interested in examining mental health disparities and how the COVID-19 pandemic has disproportionately impacted marginalized groups—and more specifically, those identified by sex, gender, and sexuality—compared with the general population. This study also considers the effects and ramifications of different policy measures taken during the course of the pandemic. We perform exploratory data modeling and analysis on several important and publicly available datasets taken during the pandemic on mental health and COVID-19 infection data across various identity groups to look for significant disparities, …

(R1954) Fractional Order On Modeling The Transmission Of Devastative Covid-19 Infection: Efficacy Of Vaccination, Ashutosh Rajput, Tanvi ., Rajiv Aggarwal, Arpana Sharma, Shiv Kumar Sahdev, Manoj Kumar, Jaimala .

Applications and Applied Mathematics: An International Journal (AAM)

The second wave of COVID-19 is an unprecedented condition in India and began in mid February 2021. Individuals who were already suffering from other comorbidities were found with lung infection, and hence, the number of disease induced deaths were rising faster during the second wave in relation to the first wave. This paper has proposed a mathematical model with fractional order derivatives by correlating the model based number of infectives with the real number of infectives in India. For the system of fractional differential equations, a disease-free state has been computed and proved to be locally asymptotically stable with certain …

(R2025) Improving The Lda Linear Discriminant Analysis Method By Eliminating Redundant Variables For The Diagnosis Of Covid-19 Patients, Kianoush Fathi Vajargah, Hamid Mottaghi Golshan, Fazel Badakhshan Farahabadi

Applications and Applied Mathematics: An International Journal (AAM)

Nowadays, with the increase in data production speed, the process of data analysis has faced many problems because this big data is often accompanied by plug-in data and redundant data. Therefore, the use of dimensional methods in the pre-data analysis stage is necessary. In data mining, dimensional reduction is one of the most important steps in data pre-processing. Principal component analysis (PCA) and linear discriminant analysis (LDA) are often used to reduce dimensions in data mining. The LDA method is a monitored and controlled method but the PCA is not controlled method. When the number of samples in classes is …

Higher Education Students’ Perceptions Of Online Learning During The Covid-19 Pandemic, Abby O’Bryant

Butler Journal of Undergraduate Research

This article focuses on the impacts of online learning during the COVID-19 pandemic on students at the University of Hawai‘i at Hilo. Using survey data (n = 64) and semistructured interviews with currently enrolled students (n = 17), key impacts of online learning on the student body were analyzed. The respondents reported disengagement in lectures, negative impacts on their mental and physical health, negative thoughts about dropping out and transferring, apprehension about the quality of course content, and dissatisfaction with tuition. The paper utilizes qualitative data analysis to report the findings.

The Effect Of Covid-19 On Substance Use And Mental Health On A College Campus, Georgia L. Coffman

Butler Journal of Undergraduate Research

In this research, the author surveyed a university population to determine the impact that COVID-19 has had on substance use and mental health. Current research provides significant data indicating worsening mental health and substance use. This paper looks at how applicable those trends are to a small private university in Indianapolis, Indiana. The data included 261 respondents composed of students, faculty, and staff of the university. The results reveal that college students, faculty, and staff experienced statistically significant increases in feelings of unhappiness, depression, loneliness, hopelessness, agitation, and irritability during the pandemic compared to before the pandemic. Data analysis of …

Sustainable Management Of Facemask Waste Generated From Covid-19 Pandemic In Bhutan, Tshering Yangdon, Twisuk Punpeng, Sirima Mongkolosomit, Kampol Nanthapong, Kinzang Yangden

Journal of Health Research

Background: The rise in facemask waste with the uncertainty of deposition data and all its concomitant pressure on management has resulted in new risks and challenges for achieving sustainable development goals (SDGs). The purpose of this mixed methods study was to estimate facemask waste generation and examine management in Bhutan since the COVID-19 pandemic.

Method: One thousand five hundred and twenty-seventh (1,527) consenting members of the public from Class A Thromdes (self-governing municipalities) were surveyed online from February to April 2022, to estimate mask waste using descriptive statistics. This was supported by the waste characterization conducted in Memelhakha, the biggest …

Cybersecurity Continuity Risks: Lessons Learned From The Covid-19 Pandemic, Tyler Fezzey, John H. Batchelor, Gerald F. Burch, Randall Reid

Journal of Cybersecurity Education, Research and Practice

The scope and breadth of the COVID-19 pandemic were unprecedented. This is especially true for business continuity and the related area of cybersecurity. Historically, business continuity and cybersecurity are viewed and researched as separate fields. This paper synthesizes the two disciplines as one, thus pointing out the need to address both topics simultaneously. This study identifies blind spots experienced by businesses as they navigated through the difficult time of the pandemic by using data collected during the height of the COVID-19 pandemic. One major shortcoming was that most continuity and cybersecurity plans focused on single-axis threats. The COVID-19 pandemic resulted …

The Future Of Pandemics: Land Use Controls As Means Of Preventing Zoonotic Disease, Bailey Andree

Pace International Law Review

Zoonotic diseases are increasing in frequency as climate change worsens around the world, with the recent COVID-19 pandemic highlighting the inadequate mechanisms in place to counteract disease spread. This article reviews various zoonotic diseases and their patterns of spread, highlighting land use change as the key driver of disease to demonstrate the need for legal intervention. International land use law is a little-developed subsect of environmental law that holds the key to combating this disease spread, and this article proposes solutions through this legal lens. Land use techniques which may be used to combat disease spread include conservation laws, setback …

Candida Spp. Associated With Covid-19 And Its Susceptibility To Some Antifungals, Mohammed Mudhafar Alkhuzaie, Neeran Obied Jasim

Al-Qadisiyah Journal of Pure Science

The aim of this study was to conduct a survey of the Candida species associated with COVID-19 viral infection in 150 patients who were admitted to the intensive care unit (ICU) in Al-Diwaniyah Teaching Hospital in Al-Diwaniyah City, Iraq, for a five-month period from October 2021 to February 2022. The results indicated the dominance of Candida spp. over the rest of the isolated fungal species, with 97 isolates (64.66%). C. albicans was shown to be the most abundant species with a percentage of 55.67 percent (P 0.05), compared to the other Candida species that were isolated (Candida tropicalis 13.4 percent, …

Covid-19 Crowd Detection, Mustafa Ibrahim, Aly M. Zeineldin, Yameen Khan, Ayman Elmesalami, Soad Ibrahim

OUR Journal: ODU Undergraduate Research Journal

Object detection was introduced by researchers for face detection. Researchers explain how the detected face is divided into minor frames to be recognized by the algorithm. Due to COVID-19 and government regulations, many people face problems going to shopping centers and shop safely. It has been very hard for both the government and the people to manage social distancing. In our study, we developed a system using Raspberry Pi-4 that will detect the distance between people along with counting the number of distance and mask violations. An error message will appear on the screen in red, showing the total number …

Sars-Cov-2 Main Protease Targeting Potent Fluorescent Inhibitors: Repurposing Thioxanthones, Gönül Saadet Batibay, Eyüp Meti̇n

Turkish Journal of Chemistry

The coronavirus disease, COVID-19, is the major focus of the whole world due to insufficient treatment options. It has spread all around the world and is responsible for the death of numerous human beings. The future consequences for the disease survivors are still unknown. Hence, all contributions to understand the disease and effectively inhibit the effects of the disease have great importance. In this study, different thioxanthone based molecules, which are known to be fluorescent compounds, were selectively chosen to study if they can inhibit the main protease of SARS-CoV-2 using various computational tools. All candidate ligands were optimized, molecular …

A Type-2 Fuzzy Rule-Based Model For Diagnosis Of Covid-19, İhsan Şahi̇n, Erhan Akdoğan, Mehmet Emi̇n Aktan

Turkish Journal of Electrical Engineering and Computer Sciences

In this study, a type-2 fuzzy logic-based decision support system comprising clinical examination and blood test results that health professionals can use in addition to existing methods in the diagnosis of COVID-19 has been developed. The developed system consists of three fuzzy units. The first fuzzy unit produces COVID-19 positivity as a percentage according to the respiratory rate, loss of smell, and body temperature values, and the second fuzzy unit according to the C-reactive protein, lymphocyte, and D-dimer values obtained as a result of the blood tests. In the third fuzzy unit, the COVID-19 positivity risks according to the clinical …

Cov-Inception: Covid-19 Detection Tool Using Chest X-Ray, Aswini Thota, Ololade Awodipe, Rashmi Patel

SMU Data Science Review

Since the pandemic started, researchers have been trying to find a way to detect COVID-19 which is a cost-effective, fast, and reliable way to keep the economy viable and running. This research details how chest X-ray radiography can be utilized to detect the infection. This can be for implementation in Airports, Schools, and places of business. Currently, Chest imaging is not a first-line test for COVID-19 due to low diagnostic accuracy and confounding with other viral pneumonia. Different pre-trained algorithms were fine-tuned and applied to the images to train the model and the best model obtained was fine-tuned InceptionV3 model …

Wastewater-Informed Public Health Intervention Playbook

Sustain Magazine

As the SARS-CoV-2 pandemic quickly spread from country to country and continent to continent in 2020, governments and scientists needed a way to track COVID-19 through populations in order to position public health interventions in the most impactful locations. Having a decision-based risk framework may help to guide policy creation that could minimize or prevent possible outbreaks and surges of infection within communities. The University of Louisville in partnership with Louisville’s Department of Public Health and Wellness tested this strategy in 2021 and 2022. This Wastewater-Informed Public Health Intervention Playbook describes the decisions and actions of that academic and public …

Absence Of Visitors During Lockdown Reveals Natural Variation In Carbon Dioxide Level In The Glowworm Cave, Waitomo, New Zealand, David J. Merritt, Chris Hendy Dr, Shannon Corkill Ms

International Journal of Speleology

Waitomo Glowworm Cave is a highly visited cave where the highlight is viewing the bioluminescence display of a large colony of glowworms. Anthropogenic carbon dioxide build-up in the cave is prevented by management of chimney-effect ventilation aided by a network of microclimate sensors. A cave door prevents ventilationunder drying conditions and promotes it when necessary to clear CO₂ and when inflowing air has high relative humidity. A COVID-19-related nationwide “lockdown” in New Zealand from March 2020 resulted in neither staff nor visitors being present in the cave for 60 days, and provided an opportunity to assess the natural microclimate …

What In The World Just Happened? Students’ Self-Regulation In Asynchronous Precalculus During The Covid-19 Pandemic, Whitney George, Keith Gallagher

Journal of Humanistic Mathematics

We describe students’ learning practices in an online asynchronous PreCalculus course during Fall 2020, the first complete semester of distance learning induced by the COVID-19 pandemic. Results were compiled using a thematic analysis of a questionnaire administered to 43 students enrolled in PreCalculus at a university in the Midwest (United States). Students were given opportunities for active learning and various synchronous Q&A sessions, yet they primarily learned through watching videos and reading worked examples, minimizing interactions with the instructor and available tutors. The questionnaire results show that students knew active learning was helpful, but they were unable to curtail unproductive …

Simulation Research On Covid-19 Transmission And Control Measures Based On SeiIRd Model, Jing Wang, Ying Dong

Journal of System Simulation

Abstract: With the spread of the novel coronavirus pneumonia around the world, the data and transmission mechanism are analyzed. The SEI_iRD model is constructed based on the existing SEIRD model, and the infected population is divided into asymptomatic infections, mild infections, severe infections and critical infections. The impact of the transmission rate of different infected people on the development of the epidemic was analyzed. Simulation experiments were carried out on the basis of fitting real data, and it was found that the main infected populations that affected the discovery of the epidemic were asymptomatic and mildly infected. On …

Using Hospital Bed Capacity Prediction During Covid-19 To Determine Feature Importance, Helene Barrera, Justin Ehly, Blake Freeman, Chris Papesh, Brad Blanchard

SMU Data Science Review

The COVID-19 pandemic has exacerbated existing hospital capacity limitations in the United States, causing hospitals in certain regions to hit maximum capacity. The purpose of this study is to investigate key features of COVID-19 related admissions to help create a higher level of public understanding and help guide healthcare management professionals and governments when considering preventive measures. The introduction of preventative measures and new regulations during the pandemic have led to the generation of multiple types of models and feature selection methods in the field of Machine Learning that are increasingly complicated. This study focuses on the exploration of feature …

The Relationship Between Perceived Stress And Disordered Eating In Undergraduate Students During The Covid-19 Pandemic, Caroline G. Martin

Gettysburg College Headquarters

The COVID-19 pandemic has affected and imposed challenges on nearly everyone, including college students. Despite their already stressful situations, previous research has demonstrated increased stress levels among college students during the COVID-19 pandemic. Additionally, research has also shown an increase in disordered eating for college students during the pandemic. However, few studies have investigated the relationship between both perceived stress and disordered eating during the COVID-19 pandemic. Therefore, the present study used a correlational design to investigate a potential association between perceived stress and disordered eating among undergraduate college students during the COVID-19 pandemic. By administering the EAT-26, the CSSEC, …

Exploring The Spatial Distribution Of Air Pollutants And Covid-19 Death Rate: A Case Study For Los Angeles County, California, Akhil Mandalapu, Junfeng Jiao, Amin Azimian

International Journal of Geospatial and Environmental Research

Objective

Since March 2020, COVID-19 has rapidly spread across the world with over 240 million cases and over 5 million deaths as of November 2021. It has been unclear what role air pollutants may play in exacerbating respiratory illnesses such as COVID-19 due to their interaction with the respiratory system. The association with air pollutants and COVID-19 severity has been explored at the regional and metropolitan area, however it is unclear if such an association is consistent at the neighborhood level.

Methods

Weekly death rates from COVID-19 from March 2020 to November 2021 were compared using one-sided unpaired t-tests across …

On Efficacy And Effectiveness Of Vaccines: A Mathematical Approach Based On Conditional Probability With Applications To The Covid-19 Context, Flavius Guias

Spora: A Journal of Biomathematics

This paper presents a mathematically formalized approach which points out the relation between efficacy and effectiveness of vaccines. The first term denotes the relative degree of protection in clinical trials or under ideal conditions, while the latter is based on observed real-life data. We define the efficacy by a similar formula to the effectiveness, but the probabilities involved in the relative risk are conditional with respect to the exposure to the virus. If exposure and vaccination status are independent, the two quantities are equal. Otherwise, the observed value of the effectiveness is a biased one, as it could be seen …

Developing A Fake News Identification Model With Advanced Deep Languagetransformers For Turkish Covid-19 Misinformation Data, Mehmet Bozuyla, Akin Özçi̇ft

Turkish Journal of Electrical Engineering and Computer Sciences

The massive use of social media causes rapid information dissemination that amplifies harmful messages such as fake news. Fake-news is misleading information presented as factual news that is generally used to manipulate public opinion. In particular, fake news related to COVID-19 is defined as 'infodemic' by World Health Organization. An infodemic is a misleading information that causes confusion which may harm health. There is a high volume of misinformation about COVID-19 that causes panic and high stress. Therefore, the importance of development of COVID-19 related fake news identification model is clear and it is particularly important for Turkish language from …

Uncharted Territories: Covid-19 And Other 2020 Events That Changed Lives Forever, Justina Ogodo

Journal of Multicultural Affairs

The year 2020 rolled in with pomp and pageantry like any other year in human history. I assume that many like me had high hopes, possibly made new year resolutions. I looked forward to the new year with great expectations—planned trips, events, graduations, weddings, and even new writing goals and aspirations. But the year had its own plan, taking an unexpected turn. I am a science educator, wife, and mother of three black children; I walked into the uncharted territories of COVID-19 and other 2020 events that changed lives forever. I tell this story of my lived experience with a …

Glcms Based Multi-Inputs 1d Cnn Deep Learning Neural Network For Covid-19 Texture Feature Extraction And Classification, Elaf Ali Abbood, Tawfiq A. Al-Assadi

Karbala International Journal of Modern Science

Coronavirus disease 2019 epidemic (COVID-19) is an infectious disease that appeared because of the newest version of discovered coronavirus. The advent and rapid spread of this disease over the world necessitated a concerted effort to contain and eradicate it. Computer Tomography (CT) imaging and X-Ray images are considered as one of the important medical examinations used for disease diagnosis. To speed up and confirm the correctness of the medical diagnosis, many artificial intelligence techniques and machine learning methods are proposed. In this paper, a new and efficient proposed system is introduced to extract appropriate and meaningful features for CT scans …