Barrett, The Honors College at Arizona State University proudly showcases the work of undergraduate honors students by sharing this collection exclusively with the ASU community.

Barrett accepts high performing, academically engaged undergraduate students and works with them in collaboration with all of the other academic units at Arizona State University. All Barrett students complete a thesis or creative project which is an opportunity to explore an intellectual interest and produce an original piece of scholarly research. The thesis or creative project is supervised and defended in front of a faculty committee. Students are able to engage with professors who are nationally recognized in their fields and committed to working with honors students. Completing a Barrett thesis or creative project is an opportunity for undergraduate honors students to contribute to the ASU academic community in a meaningful way.

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Description
Tools that accurately assess physical activity and sedentary behaviors have broad implications relative to understanding the association of adverse health outcomes and these behaviors. Given the ease of distribution and inexpensive nature of self-report tools, they are the most widely used means to assess human behavior in large-scale populations. The

Tools that accurately assess physical activity and sedentary behaviors have broad implications relative to understanding the association of adverse health outcomes and these behaviors. Given the ease of distribution and inexpensive nature of self-report tools, they are the most widely used means to assess human behavior in large-scale populations. The purpose of this study was to validate the ACT24 online self-report recall for measures of sedentary and active behavior against criterion measure. Participants of a larger study were asked to complete the ACT24 recall on a random day in three different weeks during which they were wearing the criterion device. A total of 16 recalls were completed that were used to assess ACT24 measures of sedentary, active, and MVPA behavior. Four different comparisons afforded this analysis: criterion sitting time to ACT24 sedentary time, criterion standing time to ACT24 active behavior, criterion stepping time to ACT24 active behavior, and criterion stepping of 3.0+METs to ACT24 MVPA. Results for the comparisons made between ACT24 sedentary time versus criterion sitting time and ACT24 active time to criterion active time showed little systematic differences at the group level, but the limits of agreement were relatively wide. The comparisons made between ACT24 active time to criterion stepping time and ACT24 MVPA to criterion stepping time at 3.0+ METs both showed a positive systematic difference. Increased incidence of physical activity was correlated with more difference between the measures, likely due to an underestimation of criterion active time measurement. These results are important in the preliminary validity analysis of ACT24 measures of active and sedentary time. Future directions include implementing validation protocols in larger and more diverse samples.
ContributorsBrinkman, Joseph Connor (Author) / Buman, Matthew P. (Thesis director) / Hekler, Eric (Committee member) / Matthews, Charles E. (Committee member) / Barrett, The Honors College (Contributor) / W. P. Carey School of Business (Contributor) / School of Life Sciences (Contributor)
Created2015-05
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Description
Background: While research has quantified the mortality burden of the 1957 H2N2 influenza pandemic in the United States, little is known about how the virus spread locally in Arizona, an area where the dry climate was promoted as reducing respiratory illness transmission yet tuberculosis prevalence was high.
Methods: Using archival

Background: While research has quantified the mortality burden of the 1957 H2N2 influenza pandemic in the United States, little is known about how the virus spread locally in Arizona, an area where the dry climate was promoted as reducing respiratory illness transmission yet tuberculosis prevalence was high.
Methods: Using archival death certificates from 1954 to 1961, this study quantified the age-specific seasonal patterns, excess-mortality rates, and transmissibility patterns of the 1957 pandemic in Maricopa County, Arizona. By applying cyclical Serfling linear regression models to weekly mortality rates, the excess-mortality rates due to respiratory and all-causes were estimated for each age group during the pandemic period. The reproduction number was quantified from weekly data using a simple growth rate method and generation intervals of 3 and 4 days. Local newspaper articles from The Arizona Republic were analyzed from 1957-1958.
Results: Excess-mortality rates varied between waves, age groups, and causes of death, but overall remained low. From October 1959-June 1960, the most severe wave of the pandemic, the absolute excess-mortality rate based on respiratory deaths per 10,000 population was 17.85 in the elderly (≥65 years). All other age groups had extremely low excess-mortality and the typical U-shaped age-pattern was absent. However, relative risk was greatest (3.61) among children and young adolescents (5-14 years) from October 1957-March 1958, based on incidence rates of respiratory deaths. Transmissibility was greatest during the same 1957-1958 period, when the mean reproduction number was 1.08-1.11, assuming 3 or 4 day generation intervals and exponential or fixed distributions.
Conclusions: Maricopa County largely avoided pandemic influenza from 1957-1961. Understanding this historical pandemic and the absence of high excess-mortality rates and transmissibility in Maricopa County may help public health officials prepare for and mitigate future outbreaks of influenza.
ContributorsCobos, April J (Author) / Jehn, Megan (Thesis director) / Chowell-Puente, Gerardo (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution and Social Change (Contributor) / School of Life Sciences (Contributor)
Created2015-05
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Description
The purpose of this study is to discover the exposure and network patterns during the 2013-2015 Ebola Virus Disease epidemic. The author accomplished this by taking an opportunistic sample of news and academic articles, some of which may also capture cases untreated and therefore unrecorded by hospitals and treatment units.

The purpose of this study is to discover the exposure and network patterns during the 2013-2015 Ebola Virus Disease epidemic. The author accomplished this by taking an opportunistic sample of news and academic articles, some of which may also capture cases untreated and therefore unrecorded by hospitals and treatment units. Most of the 315 cases came from the Washington Post, New York Times, and World Health Organization, and they consistently captured between 1-2% of WHO case numbers. The results show that of cases with known exposures, 53.6% became infected through contact with sick family members. Hospital and funeral transmission accounted for the second and third most frequent exposure scenarios at 24.6% and 12.9% respectively. The exposures over time imply that hospital and funeral transmission prevention efforts have been successful, but family transmission has remained common throughout the outbreak. Prevention initiatives should focus on families earlier in epidemics to help control EVD's spread.
ContributorsCleaton, Julie Marie (Author) / Chowell, Gerardo (Thesis director) / Hurtado, Ana Magdalena (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution and Social Change (Contributor) / School of Life Sciences (Contributor)
Created2015-05
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Description
Among wild rodent populations, vertical transmission is believed to constitute the primary route of infection for Lymphocytic Choriomeningitis Virus (LCMV), a non-lytic arenavirus with both acute and chronic forms. When carrier mice infected at birth with the acute Armstrong strain reproduce, they generate congenital carrier offspring containing a quasispecies of

Among wild rodent populations, vertical transmission is believed to constitute the primary route of infection for Lymphocytic Choriomeningitis Virus (LCMV), a non-lytic arenavirus with both acute and chronic forms. When carrier mice infected at birth with the acute Armstrong strain reproduce, they generate congenital carrier offspring containing a quasispecies of LCMV that includes Armstrong as well as its chronic Clone-13 variant. This study examined the genetic trends in the vertical transmission of LCMV from mothers infected perinatally with Clone-13. Viral isolates obtained from the serum of congenital carrier offspring were partially sequenced to reveal residue 260 in the glycoprotein-encoding region of their S segment, the site of a major amino acid change differentiating the chronic and acute strains. It was found that the phenylalanine-to-leucine mutation associated with Clone-13 was present in 100% of the isolates, strongly indicating that the offspring of Clone-13 carriers contain exclusively the chronic variant. This research has broad implications for the epidemiology of the virus, and, given the predominance of Armstrong in the wild, suggests that there must be a biological cost associated with Clone-13 infection in non-carriers.
ContributorsFrear, Cody Christian (Author) / Blattman, Joseph (Thesis director) / Hogue, Brenda (Committee member) / Holechek, Susan (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution and Social Change (Contributor) / School of Life Sciences (Contributor)
Created2015-05
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Description
With the development of technology, there has been a dramatic increase in the number of machine learning programs. These complex programs make conclusions and can predict or perform actions based off of models from previous runs or input information. However, such programs require the storing of a very large amount

With the development of technology, there has been a dramatic increase in the number of machine learning programs. These complex programs make conclusions and can predict or perform actions based off of models from previous runs or input information. However, such programs require the storing of a very large amount of data. Queries allow users to extract only the information that helps for their investigation. The purpose of this thesis was to create a system with two important components, querying and visualization. Metadata was stored in Sedna as XML and time series data was stored in OpenTSDB as JSON. In order to connect the two databases, the time series ID was stored as a metric in the XML metadata. Queries should be simple, flexible, and return all data that fits the query parameters. The query language used was an extension of XQuery FLWOR that added time series parameters. Visualization should be easily understood and be organized in a way to easily find important information and details. Because of the possibility of a large amount of data being returned from a query, a multivariate heat map was used to visualize the time series results. The two programs that the system performed queries on was Energy Plus and Epidemic Simulation Data Management System. By creating such a system, it would be easier for people of the project's fields to find the relationship between metadata that leads to the desired results over time. Over the time of the thesis project, the overall software was completed, however the software must be optimized in order to take the enormous amount of data expected from the system.
ContributorsTse, Adam Yusof (Author) / Candan, Selcuk (Thesis director) / Chen, Xilun (Committee member) / Barrett, The Honors College (Contributor) / School of Music (Contributor) / Computer Science and Engineering Program (Contributor)
Created2015-05
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Description
Mortality of 1918 influenza virus was high, partly due to bacteria coinfections. We characterize pandemic mortality in Arizona, which had high prevalence of tuberculosis. We applied regressions to over 35,000 data points to estimate the basic reproduction number and excess mortality. Age-specific mortality curves show elevated mortality for all age

Mortality of 1918 influenza virus was high, partly due to bacteria coinfections. We characterize pandemic mortality in Arizona, which had high prevalence of tuberculosis. We applied regressions to over 35,000 data points to estimate the basic reproduction number and excess mortality. Age-specific mortality curves show elevated mortality for all age groups, especially the young, and senior sparing effects. The low value for reproduction number indicates that transmissibility was moderately low.
ContributorsJenner, Melinda Eva (Author) / Chowell-Puente, Gerardo (Thesis director) / Kostelich, Eric (Committee member) / Barrett, The Honors College (Contributor) / School of Mathematical and Statistical Sciences (Contributor) / School of Life Sciences (Contributor)
Created2015-05