Matching Items (18)
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Driving under the influence (DUI) is a problem in American society that has received considerable attention over recent decades from local police agencies, lobby groups, and the news media. While punitive policies, administrative sanctions and aggressive media campaigns to deter drinking and driving have been used in the past, less

Driving under the influence (DUI) is a problem in American society that has received considerable attention over recent decades from local police agencies, lobby groups, and the news media. While punitive policies, administrative sanctions and aggressive media campaigns to deter drinking and driving have been used in the past, less conventional methods to restructure or modify the urban environment to discourage drunk driving have been underused. Explanations with regard to DUIs are policy driven more often than they are guided by criminological theory. The current study uses the routine activities perspective as a backdrop for assessing whether a relatively new mode of transportation - an urban light rail system - in a large metropolitan city in the Southwestern U.S. can alter behaviors of individuals who are likely to drive under the influence of alcohol. The study is based on a survey of undergraduate students from a large university that has several stops on the light rail system connecting multiple campuses. This thesis examines whether the light rail system has a greater effect on students whose routines activities (relatively unsupervised college youth with greater access to cars and bars) are more conducive to driving under the influence of alcohol. An additional purpose of the current study is to determine whether proximity to the light rail system is associated with students driving under the influence of alcohol, while controlling for other criminological factors
ContributorsBroyles, Joshua (Author) / Ready, Justin (Thesis advisor) / Reisig, Michael (Committee member) / Telep, Cody (Committee member) / Arizona State University (Publisher)
Created2014
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Extraordinary medical advances have led to significant reductions in the burden of infectious diseases in humans. However, infectious diseases still account for more than 13 million annual deaths. This large burden is partly due to some pathogens having found suitable conditions to emerge and spread in denser and more connected

Extraordinary medical advances have led to significant reductions in the burden of infectious diseases in humans. However, infectious diseases still account for more than 13 million annual deaths. This large burden is partly due to some pathogens having found suitable conditions to emerge and spread in denser and more connected host populations, and others having evolved to escape the pressures imposed by the rampant use of antimicrobials. It is then critical to improve our understanding of how diseases spread in these modern landscapes, characterized by new host population structures and socio-economic environments, as well as containment measures such as the deployment of drugs. Thus, the motivation of this dissertation is two-fold. First, we study, using both data-driven and modeling approaches, the the spread of infectious diseases in urban areas. As a case study, we use confirmed-cases data on sexually transmitted diseases (STDs) in the United States to assess the conduciveness of population size of urban areas and their socio-economic characteristics as predictors of STD incidence. We find that the scaling of STD incidence in cities is superlinear, and that the percent of African-Americans residing in cities largely determines these statistical patterns. Since disparities in access to health care are often exacerbated in urban areas, within this project we also develop two modeling frameworks to study the effect of health care disparities on epidemic outcomes. Discrepant results between the two approaches indicate that knowledge of the shape of the recovery period distribution, not just its mean and variance, is key for assessing the epidemiological impact of inequalities. The second project proposes to study, from a modeling perspective, the spread of drug resistance in human populations featuring vital dynamics, stochasticity and contact structure. We derive effective treatment regimes that minimize both the overall disease burden and the spread of resistance. Additionally, targeted treatment in structured host populations may lead to higher levels of drug resistance, and if drug-resistant strains are compensated, they can spread widely even when the wild-type strain is below its epidemic threshold.
ContributorsPatterson-Lomba, Oscar (Author) / Castillo-Chavez, Carlos (Thesis advisor) / Towers, Sherry (Thesis advisor) / Chowell-Puente, Gerardo (Committee member) / Arizona State University (Publisher)
Created2014
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Description
Public mass shootings occur at a rate in the U.S. that is higher than any other developed country. These event initiate wide spread media attention. The media attention these events achieve have shown to impact the public behavior (e.g., increased firearm sales). However, the impact public mass shootings have on

Public mass shootings occur at a rate in the U.S. that is higher than any other developed country. These event initiate wide spread media attention. The media attention these events achieve have shown to impact the public behavior (e.g., increased firearm sales). However, the impact public mass shootings have on firearm storage and carry habits of the public is not well understood. Using data collected from the Transportation Security Administration, this study examines how mass shootings have led to moral panics occurring within the U.S. through the examination of the firearm carrying habits among the population immediately following mass shootings. The results indicate that loaded firearms with rounds in the chamber detected by the TSA have significantly increased since 2012. Further, firearms detected immediately following a public mass shooting had a higher proportion of firearms loaded with a round in the chamber relative to 7 days prior to the shooting. Moreover, the increase in proportions of firearms found loaded with a round in the chamber exponentially decays as days past the initial shooting, these events occur at a higher rate than the decay rate can normalize these occurrences. I conclude that in the wake of these shootings a moral panic ensues that is partially responsible for the change in the general public’s arming configuration habits. Further research is needed in to determine the impact on crime, and public health related issues due to this change in the public’s firearm carrying habits.
ContributorsCordova, Richard Donald (Author) / Reisig, Michael (Thesis advisor) / Towers, Sherry (Committee member) / Wang, Xia (Committee member) / Holtfreter, Kristy (Committee member) / Arizona State University (Publisher)
Created2018
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General Strain Theory (GST) posits that different types of strain lead to different types of negative emotions, some of which increase the likelihood of maladaptive coping. Much research on GST has focused on anger and depression. Far less attention has been directed toward other negative emotions, including anxiety and envy.

General Strain Theory (GST) posits that different types of strain lead to different types of negative emotions, some of which increase the likelihood of maladaptive coping. Much research on GST has focused on anger and depression. Far less attention has been directed toward other negative emotions, including anxiety and envy. The current study uses cross-sectional data from surveys administered to a university-based sample (N = 500) to address these voids and explore gender differences in the effects of strain and negative emotions in maladaptive coping. Results indicate that when gender differences existed in levels of strain and negative emotions, females experienced higher levels than males. Strain significantly predicted all four measures of negative emotions examined in this study. Finally, different negative emotions were found to have differing effects on different measures of maladaptive coping. Implications of this study for theory, future research, and policy are discussed.
ContributorsZuniga, Ana Rosa (Author) / Holtfreter, Kristy (Thesis advisor) / Reisig, Michael (Committee member) / Wang, Xia (Committee member) / Arizona State University (Publisher)
Created2015
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Description
According to the Centers for Disease Control and Prevention (CDC), type 2 diabetes accounts for 90-95% of diabetes (29.1 million) cases and manifests in 15-30% of prediabetes (86 million) cases, where 9 out of 10 individuals do not know they have prediabetes. Obesity, observed in 56.9% of diabetes cases, arises

According to the Centers for Disease Control and Prevention (CDC), type 2 diabetes accounts for 90-95% of diabetes (29.1 million) cases and manifests in 15-30% of prediabetes (86 million) cases, where 9 out of 10 individuals do not know they have prediabetes. Obesity, observed in 56.9% of diabetes cases, arises from the interactions among genetic, biological, environmental, and behavioral factors that are not well understood. Assessing the strength of these links in conjunction with the identification and evaluation of intervention strategies in vulnerable populations is central to the study of chronic diseases. This research addresses three issues that loosely connect three levels of organization utilizing a combination of quantitative and qualitative methods. First, the nonlinear dynamics between insulin, glucose, and free fatty acids is studied via a hypothesis-based model and validated with bariatric surgery data, demonstrating key metabolic factors for maintaining glucose homeostasis. Second, the challenges associated with the treatment or management, and prevention of diabetes is explored in the context of an individualized-based intervention study, highlighting the importance of diet and environment. Third, the importance of tailored school lunch programs and policies is studied through contagion models developed within a social ecological framework. The Ratatouille Effect, motivated by a pilot study among PreK-8th grade Arizona students, is studied and exposes the importance of institutionalizing practical methods that factor in the culture, norms, and values of the community. The outcomes of this research illustrate an integrative framework that bridges physiological, individual, and population level approaches to study type 2 diabetes and obesity from a holistic perspective. This work reveals the significance of utilizing quantitative and qualitative methods to better elucidate underlying causes of chronic diseases and for developing solutions that lead to sustainable healthy behaviors, and more importantly, the need for translatable multilevel methodologies for the study of the progression, treatment, and prevention of chronic diseases from a multidisciplinary perspective.
ContributorsLe Murillo, Anarina (Author) / Castillo-Chavez, Carlos (Thesis advisor) / Li, Jiaxu (Thesis advisor) / Phillips, Elizabeth D. (Committee member) / Towers, Sherry (Committee member) / Arizona State University (Publisher)
Created2016
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Although much has been done to examine the relationship between unemployment and crime, little consideration has been given to the impact neighborhood-level factors such as informal social control may have on the strength of unemployment as a predictor of crime. The present study seeks to fill this gap by assessing

Although much has been done to examine the relationship between unemployment and crime, little consideration has been given to the impact neighborhood-level factors such as informal social control may have on the strength of unemployment as a predictor of crime. The present study seeks to fill this gap by assessing whether the declining crime rates over a period of surging unemployment under the financial crisis are due to unchanged levels of informal social control. To examine these relationships, the present study utilizes data from Uniform Crime Reports (UCR), calls for service to the police, and the United States Census and American Community Survey. These data are longitudinal in nature covering the period 2007-2011 and are all related to Glendale, Arizona. The results indicate that the financial crisis predicts lower rates of property crimes as well as lower rates of calls for service relative to UCR crimes. Additionally, the present study finds that unemployment is a significant predictor of increases in UCR property crime, UCR violent crime, and engagement in each of my measures of informal social control.
ContributorsHoyle, Mary Elizabeth (Author) / Wallace, Danielle (Thesis advisor) / Chamberlain, Alyssa (Committee member) / Reisig, Michael (Committee member) / Arizona State University (Publisher)
Created2016
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Description
Head and neck squamous cell carcinoma (HNSCC), the sixth most common cancer

type worldwide, accounts for more than 630,000 new cases and 350,000 deaths

annually. Drug-resistance and tumor recurrence are the most challenging problems

in head and neck cancer treatment. It is hypothesized that a very small fraction

of stem-like cells within HNSCC tumor,

Head and neck squamous cell carcinoma (HNSCC), the sixth most common cancer

type worldwide, accounts for more than 630,000 new cases and 350,000 deaths

annually. Drug-resistance and tumor recurrence are the most challenging problems

in head and neck cancer treatment. It is hypothesized that a very small fraction

of stem-like cells within HNSCC tumor, called cancer stem cells (CSCs), is

responsible for tumor initiation, progression, resistance and recurrence. It has also

been shown that IL-6 secreted by head and neck tumor-associated endothelial cells

(ECs) enhances the survival, self-renewal and tumorigenic potential of head and

neck CSCs. In this study we will use a mathematical multi-scale model which operates

at the intracellular, molecular, and tissue level to investigate the impacts of

EC-secreted IL-6 signaling on the crosstalk between tumor cells and ECs during

tumor growth. This model will be calibrated by using the experimental in vivo

data.

Eventually the model will be modified to explore the responses of head and neck

cancer cells to combination therapy involving Tocilizumab (an anti-IL-6R antibody)

and Cisplatin (the most frequently used chemotherapy for head and neck

cancer). The model will be able to predict the final proportion of CSCs in response

to endothelial cell-secreted IL-6 and drug therapies. The model will be validated

by directly comparing the experimental treatment data and the model predictions.

This could potentially provide a condition under which we could control enlargement

of the head and neck CSC pool and tumor recurrence. It may also suggest

the best bounds for Cisplatin and/or Tocilizumab dose and frequency to be tested

in the clinical trial.
ContributorsNazari, Fereshteh (Author) / Jackson, Trachette L. (Thesis advisor, Committee member) / Castillo-Chavez, Carlos (Committee member) / Towers, Sherry (Committee member) / Kang, Yun (Committee member) / Arizona State University (Publisher)
Created2017
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Description

Methicillin resistant Staphylococcus aureus (MRSA) is currently a major cause of skin and soft tissue infections (SSTI) in the United States. Seasonal variation of MRSA infections in hospital settings has been widely observed. However, systematic time-series analysis of incidence data is desirable to understand the seasonality of community acquired (CA)-MRSA

Methicillin resistant Staphylococcus aureus (MRSA) is currently a major cause of skin and soft tissue infections (SSTI) in the United States. Seasonal variation of MRSA infections in hospital settings has been widely observed. However, systematic time-series analysis of incidence data is desirable to understand the seasonality of community acquired (CA)-MRSA infections at the population level. In this paper, using data on monthly SSTI incidence in children aged 0–19 years and enrolled in Medicaid in Maricopa County, Arizona, from January 2005 to December 2008, we carried out time-series and nonlinear regression analysis to determine the periodicity, trend, and peak timing in SSTI incidence in children at different age: 0-4 years, 5-9 years, 10-14 years, and 15-19 years. We also assessed the temporal correlation between SSTI incidence and meteorological variables including average temperature and humidity. Our analysis revealed a strong annual seasonal pattern of SSTI incidence with peak occurring in early September. This pattern was consistent across age groups. Moreover, SSTIs followed a significantly increasing trend over the 4-year study period with annual incidence increasing from 3.36% to 5.55% in our pediatric population of approximately 290,000. We also found a significant correlation between the temporal variation in SSTI incidence and mean temperature and specific humidity. Our findings could have potential implications on prevention and control efforts against CA-MRSA.

Created2013-04-02
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Background: The role of demographic factors, climatic conditions, school cycles, and connectivity patterns in shaping the spatio-temporal dynamics of pandemic influenza is not clearly understood. Here we analyzed the spatial, age and temporal evolution of the 2009 A/H1N1 influenza pandemic in Chile, a southern hemisphere country covering a long and narrow

Background: The role of demographic factors, climatic conditions, school cycles, and connectivity patterns in shaping the spatio-temporal dynamics of pandemic influenza is not clearly understood. Here we analyzed the spatial, age and temporal evolution of the 2009 A/H1N1 influenza pandemic in Chile, a southern hemisphere country covering a long and narrow strip comprising latitudes 17°S to 56°S.

Methods: We analyzed the dissemination patterns of the 2009 A/H1N1 pandemic across 15 regions of Chile based on daily hospitalizations for severe acute respiratory disease and laboratory confirmed A/H1N1 influenza infection from 01-May to 31-December, 2009. We explored the association between timing of pandemic onset and peak pandemic activity and several geographical and demographic indicators, school vacations, climatic factors, and international passengers. We also estimated the reproduction number (R) based on the growth rate of the exponential pandemic phase by date of symptoms onset, estimated using maximum likelihood methods.

Results: While earlier pandemic onset was associated with larger population size, there was no association with connectivity, demographic, school or climatic factors. In contrast, there was a latitudinal gradient in peak pandemic timing, representing a 16-39-day lag in disease activity from the southern regions relative to the northernmost region (P < 0.001). Geographical differences in latitude of Chilean regions, maximum temperature and specific humidity explained 68.5% of the variability in peak timing (P = 0.01). In addition, there was a decreasing gradient in reproduction number from south to north Chile (P < 0.0001). The regional mean R estimates were 1.6-2.0, 1.3-1.5, and 1.2-1.3 for southern, central and northern regions, respectively, which were not affected by the winter vacation period.

Conclusions: There was a lag in the period of most intense 2009 pandemic influenza activity following a South to North traveling pattern across regions of Chile, significantly associated with geographical differences in minimum temperature and specific humidity. The latitudinal gradient in timing of pandemic activity was accompanied by a gradient in reproduction number (P < 0.0001). Intensified surveillance strategies in colder and drier southern regions could lead to earlier detection of pandemic influenza viruses and improved control outcomes.

Created2012-11-13
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Background: On 31 March 2013, the first human infections with the novel influenza A/H7N9 virus were reported in Eastern China. The outbreak expanded rapidly in geographic scope and size, with a total of 132 laboratory-confirmed cases reported by 3 June 2013, in 10 Chinese provinces and Taiwan. The incidence of A/H7N9

Background: On 31 March 2013, the first human infections with the novel influenza A/H7N9 virus were reported in Eastern China. The outbreak expanded rapidly in geographic scope and size, with a total of 132 laboratory-confirmed cases reported by 3 June 2013, in 10 Chinese provinces and Taiwan. The incidence of A/H7N9 cases has stalled in recent weeks, presumably as a consequence of live bird market closures in the most heavily affected areas. Here we compare the transmission potential of influenza A/H7N9 with that of other emerging pathogens and evaluate the impact of intervention measures in an effort to guide pandemic preparedness.

Methods: We used a Bayesian approach combined with a SEIR (Susceptible-Exposed-Infectious-Removed) transmission model fitted to daily case data to assess the reproduction number (R) of A/H7N9 by province and to evaluate the impact of live bird market closures in April and May 2013. Simulation studies helped quantify the performance of our approach in the context of an emerging pathogen, where human-to-human transmission is limited and most cases arise from spillover events. We also used alternative approaches to estimate R based on individual-level information on prior exposure and compared the transmission potential of influenza A/H7N9 with that of other recent zoonoses.

Results: Estimates of R for the A/H7N9 outbreak were below the epidemic threshold required for sustained human-to-human transmission and remained near 0.1 throughout the study period, with broad 95% credible intervals by the Bayesian method (0.01 to 0.49). The Bayesian estimation approach was dominated by the prior distribution, however, due to relatively little information contained in the case data. We observe a statistically significant deceleration in growth rate after 6 April 2013, which is consistent with a reduction in A/H7N9 transmission associated with the preemptive closure of live bird markets. Although confidence intervals are broad, the estimated transmission potential of A/H7N9 appears lower than that of recent zoonotic threats, including avian influenza A/H5N1, swine influenza H3N2sw and Nipah virus.

Conclusion: Although uncertainty remains high in R estimates for H7N9 due to limited epidemiological information, all available evidence points to a low transmission potential. Continued monitoring of the transmission potential of A/H7N9 is critical in the coming months as intervention measures may be relaxed and seasonal factors could promote disease transmission in colder months.

Created2013-10-02