Matching Items (210)
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- All Subjects: COVID-19
- Creators: Barrett, The Honors College
ContributorsKim, Melissa (Author) / Lauer, Annika (Co-author) / Fette, Donald (Thesis director) / Ingram-Waters, Mary (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor)
Created2021-12
ContributorsKim, Melissa (Author) / Lauer, Annika (Co-author) / Fette, Donald (Thesis director) / Ingram-Waters, Mary (Committee member) / Barrett, The Honors College (Contributor) / Department of English (Contributor)
Created2021-12
Description
For our thesis, we analyzed a set of data from the on-going longitudinal study, “Aging In the Time of COVID-19” (Guest et al., ongoing) from the Center for Innovation in Healthy and Resilient Aging at Arizona State University. This study researched how COVID-19 and the resulting physical/social distancing impacted aging individuals' health, wellbeing, and quality-of-life. The survey collected data regarding over 1400 participants’ social connections, health, and experiences during COVID-19. This study gathered information about participants’ comorbid conditions, age, sex, location, etc. We presented this work in the form of a website including the traditional elements of an Honors Thesis as well as a visual essay with the data analysis portion coded with the JavaScript library D3 and a list of resources for our target audience, older adults who are experiencing social isolation and/or loneliness.
ContributorsHarelson, Haley (Author) / Pishko, Claire (Co-author) / Doebbeling, Bradley (Thesis director) / Mejía, Mauricio (Thesis director) / Guest, Aaron (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor) / School of Mathematical and Statistical Sciences (Contributor)
Created2021-12
ContributorsHarelson, Haley (Author) / Pishko, Claire (Co-author) / Doebbeling , Bradley (Thesis director) / Mejía, Mauricio (Thesis director) / Guest, Aaron (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2021-12
ContributorsHarelson, Haley (Author) / Pishko, Claire (Co-author) / Doebbeling , Bradley (Thesis director) / Mejía, Mauricio (Thesis director) / Guest, Aaron (Committee member) / Barrett, The Honors College (Contributor) / School of Life Sciences (Contributor)
Created2021-12
Description
The emergence of COVID-19 has ravaged through the United States generally and prison facilities in particular. By reducing prison populations and protecting a facility's most vulnerable members, compassionate release is a means of mitigating the consequences of COVID-19 facing prison facilities across the country. This thesis will examine compassionate release requests for the months of March 2020 through May 2020 from minimum and low-security prison facilities within the Bureau of Prisons. By examining this data, the goal of this thesis will be to determine whether the Bureau’s use of compassionate release was conducted in a manner that would protect the well-being of incarcerated individuals in response to the emergence of COVID-19. Similarly, the data will be examined in order to identify any significant differences between prison facilities in their use of compassionate release and subsequent outcomes from COVID-19 infections and deaths. Lastly, this thesis will examine this data to determine whether the Bureau’s use of compassionate release was consistent with the general objective of reducing prison populations and overcrowding in response to COVID-19.
ContributorsMavrikos, Alex (Author) / Wallace, Danielle (Thesis director) / Chamberlain, Alyssa (Committee member) / Fahmy, Chantal (Committee member) / School of Criminology and Criminal Justice (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
According to the Center for Disease Control, the first case of COVID-19 in the United States was confirmed on January 21st, 2020. The patient was a resident of Washington state who had returned from the city of Wuhan during the previous week. The virus quickly spread across the country, and our lives have yet to return to normal in the nineteen months since. Between the initial wave that began in early 2020, and the current wave from the Delta variant that is now ravaging the country once again, this virus has claimed the lives of over six hundred thousand people in the United states alone. The majority of news coverage has focused on the pandemic from a national or global perspective. And since major metropolitan areas are often hotspots for the spread of infectious diseases (with the spread of COVID-19 being no exception), smaller towns and cities have experienced incredible desolation of their own. While the global scale and impact of this tragedy is paramount, it is also important to consider the devastation that has been torn apart smaller - often rural - communities, and to remember people whose lives have been forever changed. When I moved back from Phoenix, Arizona to my hometown of Owensboro, Kentucky in June I had the opportunity to do just that: to see this pandemic through the lens of a tight-knit community, where there exists a feeling that everybody knows each other. I wondered whether or not Owensboro had experienced the COVID-19 pandemic between March 2020 and June 2021 in the same way that was being portrayed by national news broadcasts. How did one city combat a nationwide pandemic?
ContributorsPowell, Madison (Author) / Meloy, Elizabeth (Thesis director) / Topal, Emel (Committee member) / College of Integrative Sciences and Arts (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
Sport Utility Vehicles have grown to be one of the most popular vehicle choices in the automotive industry. This thesis explores the history of SUVs with their roots starting in the 1930s up until 2020 in order to understand the essence of what an SUV is. The definition applied to the SUV for this thesis is as follows: a vehicle that is larger and more capable than the average sedan by offering more interior space, cargo area, and possibly off-road capability. This definition must be sufficiently broad to encompass the diverse market that manufactures are calling SUVs. Then the trends of what current (2020) SUVs are experiencing are analyzed from three major aspects: sociology, economics, and technology. Sociology focuses on the roles an SUV fulfills and the type of people who own SUVs. The economics section reviews the profitability of SUVs and their dependence on a nation’s economic strength. Technology pertains to the trends in safety features and other advances such as autonomous or electric vehicles. From these current and past trends, predictions could be made on future SUVs. In regards to sociology, trends indicate that SUVs will be more comfortable as newly entering luxury brands will be able to innovate aspects of comfort. In addition, SUVs will offer more performance models so manufacturers can reach a wider variety of demographics. Economic trends revealed that SUVs are at risk of losing popularity as the economy enters a hard time due to the COVID-19 pandemic. Technological trends revealed that hybrids and electric vehicles will now move into the SUV market starting with the more compact sizes to help improve manufacturer’s fleet fuel efficiency.
ContributorsMarske, Trevor Holmes (Author) / Henderson, Mark (Thesis director) / Contes, James (Committee member) / Engineering Programs (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
My journey through Arizona State University did not start with Supply Chain Management. I began as a Finance Major, but something did not resonate with me. I eventually switched my major to Supply Chain Management in my Junior year, after taking Professor Eddie Davila’s SCM 300 course. The hands-on nature of supply chain management, as well as the broad range of industries it covered, got me hooked. For my alternative thesis, I had to attend four seminars for WPC supply faculty, then write summaries on them. I would then choose one of the four to further extrapolate on and do independent research. However, after attending only two, the COVID-19 outbreak occurred, leading to the cancellation of the remaining seminars. As a result, I was faced with two choices; abandon the thesis project entirely, or work with what I had. With the approval of my director, I decided on the following outline. The first part of this paper will summarize and reflect on the two faculty lectures I was able to attend. The second part of the paper will look at the way COVID-19 has impacted the supply chain of a local business, SilverTree Dentistry. I will use information gathered from the dental office, supplier sites, and online sources as well as from the two faculty lectures to develop a cohesive plan of potential action for SilverTree to better equip themselves and their supply chain to handle the COVID-19 pandemic, as well as how to respond as a small business in future times of crisis. This paper’s focus is on how small business supply chains are disrupted in their areas of supplier selection and supplier power, specifically how those areas affect the business’s spend.
ContributorsMladenov, Stefan Nikolaev (Author) / Oke, Adegoke (Thesis director) / Printezis, Antonios (Committee member) / Department of Supply Chain Management (Contributor) / Dean, W.P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05
Description
Markov Chain Monte-Carlo methods are a Bayesian approach to predictive statistics, which takes advantage of prior beliefs and conditions as well as the existing data to produce posterior distributions of relevant parameters. This approach, implementable through the JAGS packaging in R, is promising for its impact on the diagnostics space, which is a critical bottleneck for pandemic planning and rapid response. Specifically, these methods provide the means to optimize diagnostic testing, for example, by determining whether it is best to test individuals in a certain locale once or multiple times. This study compares the expected accuracy of single and double testing under two specific conditions, a general and Icelandic test case, in order to ascertain the validity of MCMC methods in this space and inform decisionmakers and future research in the space. Models based on this platform may eventually be tailored to the priors of specific locales. Additionally, the ability to test multiple regimes of real or simulated data while maintaining uncertainty widens the pool of researchers that can impact the space. In future studies, ensemble methods investigating the full range of parameters and their combinations can be studied.
ContributorsSuresh, Tarun (Author) / Naufel, Mark (Thesis director) / Panchanathan, Sethuraman (Committee member) / Harrington Bioengineering Program (Contributor) / Barrett, The Honors College (Contributor)
Created2020-05