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The study examines cross-cultural perceptions of wastewater reuse from 282 participants from four global sites representing varied levels of socio-economic and political development from the Global North and Global South: Spain, New Zealand, Fiji, and Guatemala. The data comes from the Global Ethnohydrology Survey conducted by the School of Human

The study examines cross-cultural perceptions of wastewater reuse from 282 participants from four global sites representing varied levels of socio-economic and political development from the Global North and Global South: Spain, New Zealand, Fiji, and Guatemala. The data comes from the Global Ethnohydrology Survey conducted by the School of Human Evolution and Social Change during the summer of 2013. The Global Ethnohydrology Study is a transdisciplinary multi-year research initiative that examines the range of variation in local ecological knowledge of water issues, also known as "ethnohydrology." Participants were asked about their willingness, level of disgust, and concern with using treated wastewater for various daily activities. Additionally, they were asked to draw schematic representations of how wastewater should be treated to become drinkable again. Using visual content analysis, the drawings were coded for a variety of treatment levels and specific treatment processes. Conclusions about the perceived health implications from wastewater reuse that can stem from drinking treated wastewater were made. The relationship between humans and wastewater is one that has many direct social and health impacts on communities at large. In reaction to global limitations of freshwater, wastewater serves as a valuable resource to tap into. This research examines the cross-cultural public health concerns about treated wastewater in order to draw conclusions that can aid in strategic implementation of advocacy and public education about wastewater reuse.
ContributorsPatel, Sarah Shakir (Author) / Wutich, Amber (Thesis director) / Rice, Jacelyn (Committee member) / Barrett, The Honors College (Contributor) / School of Politics and Global Studies (Contributor) / School of Human Evolution and Social Change (Contributor)
Created2015-05
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Understanding more about the similarities and differences in cultural perceptions of climate change-related disease causation can better inform culturally specific public health measures. Using interviews conducted with 685 adults in eight diverse global locations ranging from Fiji and China to England and Phoenix, Arizona, this study explores climate change-disease beliefs

Understanding more about the similarities and differences in cultural perceptions of climate change-related disease causation can better inform culturally specific public health measures. Using interviews conducted with 685 adults in eight diverse global locations ranging from Fiji and China to England and Phoenix, Arizona, this study explores climate change-disease beliefs within and across diverse cultures and comparisons between cultural and scientific models. A cultural consensus analysis was employed to identify a "culturally correct" model for each study site. Next, a scientific model was generated based on current scientific consensus regarding climate change- disease connections. Using the Quadratic Assignment Procedure (QAP), we determined the amount of correlation shared between the scientific model and each cultural model. The analysis revealed a high level of intercorrelation between the models of English speaking, economically developed sites such as Phoenix, Arizona. Additionally, cultural models from the non-English speaking sites were highly intercorrelated with one another. Overall, the English speaking sites tended to have more complex models with a greater density of causal links. Cultural models from the English speaking sites also demonstrated high levels of correlation with the scientific model. In comparison, the cultural models from the non-English speaking sites exhibited little correlation with the scientific model. Based on these findings, we suggest that cultural beliefs related to climate change-related disease causation may be influenced by complex local factors. For example, differences in education and media influences along with localized differences in climate change impacts may, in part, contribute to divergences between the cultural models.
Created2014-05
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Description

Background: Extreme heat is a public health challenge. The scarcity of directly comparable studies on the association of heat with morbidity and mortality and the inconsistent identification of threshold temperatures for severe impacts hampers the development of comprehensive strategies aimed at reducing adverse heat-health events.

Objectives: This quantitative study was designed

Background: Extreme heat is a public health challenge. The scarcity of directly comparable studies on the association of heat with morbidity and mortality and the inconsistent identification of threshold temperatures for severe impacts hampers the development of comprehensive strategies aimed at reducing adverse heat-health events.

Objectives: This quantitative study was designed to link temperature with mortality and morbidity events in Maricopa County, Arizona, USA, with a focus on the summer season.

Methods: Using Poisson regression models that controlled for temporal confounders, we assessed daily temperature–health associations for a suite of mortality and morbidity events, diagnoses, and temperature metrics. Minimum risk temperatures, increasing risk temperatures, and excess risk temperatures were statistically identified to represent different “trigger points” at which heat-health intervention measures might be activated.

Results: We found significant and consistent associations of high environmental temperature with all-cause mortality, cardiovascular mortality, heat-related mortality, and mortality resulting from conditions that are consequences of heat and dehydration. Hospitalizations and emergency department visits due to heat-related conditions and conditions associated with consequences of heat and dehydration were also strongly associated with high temperatures, and there were several times more of those events than there were deaths. For each temperature metric, we observed large contrasts in trigger points (up to 22°C) across multiple health events and diagnoses.

Conclusion: Consideration of multiple health events and diagnoses together with a comprehensive approach to identifying threshold temperatures revealed large differences in trigger points for possible interventions related to heat. Providing an array of heat trigger points applicable for different end-users may improve the public health response to a problem that is projected to worsen in the coming decades.

ContributorsPettiti, Diana B. (Author) / Hondula, David M. (Author) / Yang, Shuo (Author) / Harlan, Sharon L. (Author) / Chowell, Gerardo (Author)
Created2016-02-01
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Description

Maricopa County, Arizona, anchor to the fastest growing megapolitan area in the United States, is located in a hot desert climate where extreme temperatures are associated with elevated risk of mortality. Continued urbanization in the region will impact atmospheric temperatures and, as a result, potentially affect human health. We aimed

Maricopa County, Arizona, anchor to the fastest growing megapolitan area in the United States, is located in a hot desert climate where extreme temperatures are associated with elevated risk of mortality. Continued urbanization in the region will impact atmospheric temperatures and, as a result, potentially affect human health. We aimed to quantify the number of excess deaths attributable to heat in Maricopa County based on three future urbanization and adaptation scenarios and multiple exposure variables.

Two scenarios (low and high growth projections) represent the maximum possible uncertainty range associated with urbanization in central Arizona, and a third represents the adaptation of high-albedo cool roof technology. Using a Poisson regression model, we related temperature to mortality using data spanning 1983–2007. Regional climate model simulations based on 2050-projected urbanization scenarios for Maricopa County generated distributions of temperature change, and from these predicted changes future excess heat-related mortality was estimated. Subject to urbanization scenario and exposure variable utilized, projections of heat-related mortality ranged from a decrease of 46 deaths per year (− 95%) to an increase of 339 deaths per year (+ 359%).

Projections based on minimum temperature showed the greatest increase for all expansion and adaptation scenarios and were substantially higher than those for daily mean temperature. Projections based on maximum temperature were largely associated with declining mortality. Low-growth and adaptation scenarios led to the smallest increase in predicted heat-related mortality based on mean temperature projections. Use of only one exposure variable to project future heat-related deaths may therefore be misrepresentative in terms of direction of change and magnitude of effects. Because urbanization-induced impacts can vary across the diurnal cycle, projections of heat-related health outcomes that do not consider place-based, time-varying urban heat island effects are neglecting essential elements for policy relevant decision-making.

ContributorsHondula, David M. (Author) / Georgescu, Matei (Author) / Balling, Jr., Robert C. (Author)
Created2014-04-28
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Description

Preventing heat-associated morbidity and mortality is a public health priority in Maricopa County, Arizona (United States). The objective of this project was to evaluate Maricopa County cooling centers and gain insight into their capacity to provide relief for the public during extreme heat events. During the summer of 2014, 53

Preventing heat-associated morbidity and mortality is a public health priority in Maricopa County, Arizona (United States). The objective of this project was to evaluate Maricopa County cooling centers and gain insight into their capacity to provide relief for the public during extreme heat events. During the summer of 2014, 53 cooling centers were evaluated to assess facility and visitor characteristics. Maricopa County staff collected data by directly observing daily operations and by surveying managers and visitors. The cooling centers in Maricopa County were often housed within community, senior, or religious centers, which offered various services for at least 1500 individuals daily. Many visitors were unemployed and/or homeless. Many learned about a cooling center by word of mouth or by having seen the cooling center’s location. The cooling centers provide a valuable service and reach some of the region’s most vulnerable populations. This project is among the first to systematically evaluate cooling centers from a public health perspective and provides helpful insight to community leaders who are implementing or improving their own network of cooling centers.

ContributorsBerisha, Vjollca (Author) / Hondula, David M. (Author) / Roach, Matthew (Author) / White, Jessica R. (Author) / McKinney, Benita (Author) / Bentz, Darcie (Author) / Mohamed, Ahmed (Author) / Uebelherr, Joshua (Author) / Goodin, Kate (Author)
Created2016-09-23
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Description
This work challenges the conventional perceptions surrounding the utility and use of the CMS Open Payments data. I suggest unconsidered methodologies for extracting meaningful information from these data following an exploratory analysis of the 2014 research dataset that, in turn, enhance its value as a public good. This dataset is

This work challenges the conventional perceptions surrounding the utility and use of the CMS Open Payments data. I suggest unconsidered methodologies for extracting meaningful information from these data following an exploratory analysis of the 2014 research dataset that, in turn, enhance its value as a public good. This dataset is favored for analysis over the general payments dataset as it is believed that generating transparency in the pharmaceutical and medical device R&D process would be of the greatest benefit to public health. The research dataset has been largely ignored by analysts and this may be one of the few works that have accomplished a comprehensive exploratory analysis of these data. If we are to extract valuable information from this dataset, we must alter both our approach as well as focus our attention towards re-conceptualizing the questions that we ask. Adopting the theoretical framework of complex systems serves as the foundation for our interpretation of the research dataset. This framework, in conjunction with a methodological toolkit for network analysis, may set a precedent for the development of alternative perspectives that allow for novel interpretations of the information that big data attempts to convey. By thus proposing a novel perspective in interpreting the information that this dataset contains, it is possible to gain insight into the emergent dynamics of the collaborative relationships that are established during the pharmaceutical and medical device R&D process.
Created2016-05
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Description
Background: Endometriosis is a condition characterized by the growth of the endometrium, or the tissue that lines the uterus, outside of the uterus, and it is diagnosed through the presence of endometriotic lesions in the pelvic region. The disease is most often associated with abnormal and painful vaginal bleeding. Currently,

Background: Endometriosis is a condition characterized by the growth of the endometrium, or the tissue that lines the uterus, outside of the uterus, and it is diagnosed through the presence of endometriotic lesions in the pelvic region. The disease is most often associated with abnormal and painful vaginal bleeding. Currently, minimal literature exists concerning the management of endometriosis in low and middle-income countries (LMICs), which may influence the lack of a cultural competent understanding of menstruation in LMICs and, therefore, a lack of evidence-based policies concerning menstruation.

Methods: Social and cultural barriers influencing endometriosis reporting and management in LMICs were examined through a systematic literature review. Online databases yielded a list of relevant studies. Then, use of MAXQDA, a qualitative data analysis software program, helped to extract and code specific text segments from each study that pertain to the research topic. In-context analysis of coded segments revealed the most common trends, which were organized into broader themes.

Results: Findings demonstrated that social and cultural ideas regarding vaginal bleeding influenced the lack of disease reporting and management of endometriosis in LMICs. Socioeconomic challenges include a lack of hygiene and sanitation measures and education regarding menstruation and vaginal bleeding. Also, many diseases associated with the abnormal vaginal bleeding are often disregarded and not prioritized in clinical settings. It also became clear that cultural taboos regarding menstruation and vaginal bleeding often create feelings of anxiety and fear in women and girls throughout communities in LMICs. However, further research is needed to examine the ways in which women in those communities treat symptoms of irregular vaginal bleeding related to endometriosis.

Conclusions: Socioeconomic, gender, and sex-related factors may influence the ways in which endometriosis is reported and treated and may affect the way the related diseases are understood. Evidence-based policies using a culturally competent understanding of abnormal vaginal bleeding in LMICs may help positively affect the reproductive health of women and girls in such areas.
ContributorsSantora, Emily (Author) / Maienschein, Jane (Thesis director) / Abboud, Carolina (Committee member) / Hagaman, Ashley (Committee member) / School of Human Evolution and Social Change (Contributor) / School of Social Transformation (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
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Description
My aims with this research project were to conduct a network analysis on collaborators in the ¡Viva Maryvale! project, a diabetes prevention program in Maryvale, AZ. The goals of the social network analysis were to measure the connections that collaborating organizations have to each other, the strength of these connections,

My aims with this research project were to conduct a network analysis on collaborators in the ¡Viva Maryvale! project, a diabetes prevention program in Maryvale, AZ. The goals of the social network analysis were to measure the connections that collaborating organizations have to each other, the strength of these connections, and the activities that connected organizations collaborate on. I hypothesized that performing a network analysis would inform me of the strengths and weaknesses of the ¡Viva Maryvale! project in order to advise the next steps of a targeted approach to diabetes prevention among vulnerable populations, thus affecting public health outcomes in the greater Phoenix Valley.
ContributorsKellog, Anna (Author) / Shaibi, Gabriel (Thesis director) / Soltero, Erica (Committee member) / School of Public Affairs (Contributor) / School of Human Evolution and Social Change (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description
In 2015, the World Health Organization cited antibiotic resistance as one of the greatest current challenges to global public health. A major driver of the evolution of antibiotic resistance is the overuse and misuse of these drugs. While antibiotic stewardship, education campaigns, and health policy attempt to limit drug use

In 2015, the World Health Organization cited antibiotic resistance as one of the greatest current challenges to global public health. A major driver of the evolution of antibiotic resistance is the overuse and misuse of these drugs. While antibiotic stewardship, education campaigns, and health policy attempt to limit drug use globally, public understanding of antibiotic resistance and its consequences are lacking. The goal of this study is to analyze the social and cultural influences of antibiotic knowledge and usage behavior. Over a three-month period, I interviewed 211 laypersons in Guatemala, Spain, the Netherlands, India, South Africa, and New Zealand to understand their ideas, perceptions, and behaviors regarding antibiotics and compared results across countries. While an overall consensus across countries does exist, I found significant differences between low and high income countries as well as between low and high antibiotic consumption countries. Additionally, I found that having increased public health knowledge is related to lower antibiotic "risky" behavior. These results help contextualize national data on antibiotic consumption and resistance by illustrating relationships between access, beliefs, and consumption patterns within populations. The results also inform the development of community and culture specific educational campaigns regarding antibiotic resistance.
ContributorsHarris, Carlyn Larson (Author) / Maupin, Jonathan (Thesis director) / Gaughan, Monica (Committee member) / School of Human Evolution and Social Change (Contributor) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05
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Description
Operation Toothbrush is an initiative established to combat the oral healthcare disparity within young children who reside in Arizona. By working with elementary and preschool children, the project educated them and their families about the importance of oral hygiene in informative and intuitive manner. The project incorporated the help of

Operation Toothbrush is an initiative established to combat the oral healthcare disparity within young children who reside in Arizona. By working with elementary and preschool children, the project educated them and their families about the importance of oral hygiene in informative and intuitive manner. The project incorporated the help of Pre-Dental volunteers, dental practices, and the Woodside Grant to obtain the supplies, information, and assistance necessary to conduct the initiative.
ContributorsTsiperfal, Nathan (Co-author) / Mansukhani, Kunal (Co-author) / Virdee, Gitika (Co-author) / Loebenberg, Abby (Thesis director) / Ostling, Michael (Committee member) / School of Life Sciences (Contributor) / School of Human Evolution and Social Change (Contributor) / W. P. Carey School of Business (Contributor) / Barrett, The Honors College (Contributor)
Created2017-05