Medicine and Health Sciences Commons^™

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 …

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, …

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 …

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 …

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 …

(R1468) Global Analysis Of An Seirs Model For Covid-19 Capturing Saturated Incidence With Treatment Response, David A. Oluyori, Helen O. Adebayo, Ángel G.C. Pérez

Applications and Applied Mathematics: An International Journal (AAM)

In this work, a new SEIRS model with saturated incidence rate and piecewise linear treatment response is proposed to describe the dynamics of COVID-19. It is assumed that the treatment response is proportional to the number of infected people as long as the incidence cases are within the capacity of the healthcare system, after which the value becomes constant, when the number of confirmed cases exceeds the carrying capacity of the available medical facilities. Thus, the basic reproduction number of the model is obtained. It is proved that the disease-free equilibrium is globally asymptotically stable when the basic reproduction number …

Professional Responsibility, Legal Malpractice, Cybersecurity, And Cyber-Insurance In The Covid-19 Era, Ethan S. Burger

St. Mary's Journal on Legal Malpractice & Ethics

In response to the COVID-19 outbreak, law firms conformed their activities to the Centers for Disease Control and Prevention (CDC), Occupational Safety and Health Administration (OSHA), and state health authority guidelines by immediately reducing the size of gatherings, encouraging social distancing, and mandating the use of protective gear. These changes necessitated the expansion of law firm remote operations, made possible by the increased adoption of technological tools to coordinate workflow and administrative tasks, communicate with clients, and engage with judicial and governmental bodies.

Law firms’ increased use of these technological tools for carrying out legal and administrative activities has implications …

Insignificant Impacts Of Covid-19 Stay-At-Home Orders On Chicago Air Quality, Adam W.T. Steffeck

DePaul Discoveries

With the onset of the COVID-19 pandemic, reports of air quality improvements around the world resulting from the stay-at-home orders were widespread. However, for Chicago, no significant air quality improvements occurred despite large reductions in private vehicle transportation due to the lack of commuters. The city of Chicago is a nexus for long-haul transportation by trucks and trains, which did not decrease during the pandemic. These transportation sources use mostly diesel fuel engines and emit NO_X, a precursor to tropospheric ozone, and PM_2.5, both of which are harmful air pollutants. Using open access EPA air quality …

Mathematical Modeling, Analysis, And Simulation Of The Covid-19 Pandemic With Behavioral Patterns And Group Mixing, Comfort Ohajunwa, Padmanabhan Seshaiyer

Spora: A Journal of Biomathematics

Due to the rise of COVID-19 cases, many mathematical models have been developed to study the disease dynamics of the virus. However, despite its role in the spread of COVID-19, many SEIR models neglect to account for human behavior. In this project, we develop a novel mathematical modeling framework for studying the impact of mixing patterns and social behavior on the spread of COVID-19. Specifically, we consider two groups, one exhibiting normal behavior who do not reduce their contacts and another exhibiting altered behavior who reduce their contacts by practicing non-pharmaceutical interventions such as social distancing and self-isolation. The dynamics …

Research Focus: Pattern Recognition

In The Loop

A CDM health informatics team joins a global race to advance COVID-19 diagnostics through X-ray insights.