Matching Items (4)
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- All Subjects: HIV
- Creators: Hruschka, Daniel
Description
Curanderos are Hispanic traditional healers who attend to their clients through spiritual, natural, and physical techniques. Recent studies have shown that a subset of the Hispanic population refer to these healers for HIV and STD treatment and believe they are important in a collaborative targeted HIV intervention. Thus, curanderos were interviewed and the lay population of Phoenix was sampled in order to get a better idea of the utility of these healers in an HIV prevention effort targeted at the Hispanic community. Due to the limitations of this study there was not sufficient enough data to make significant conclusions; however the interviews with the curanderos were surprising in the they had significant roles as healers in the Phoenix area, patients have referred to them for HIV and STD treatment, and a couple of the healers have integrated western medical knowledge into their practice.
ContributorsMartinez, Justin Anthony (Author) / Maupin, Jonathan (Thesis director) / Hruschka, Daniel (Committee member) / Aguilera, Miguel (Committee member) / Barrett, The Honors College (Contributor) / School of Human Evolution and Social Change (Contributor) / School of Life Sciences (Contributor)
Created2013-05
Description
This white paper serves as an accumulation of research to guide needle exchange program (NEP) policies in the state of Arizona to decrease the transmission of infectious diseases such as HIV and HCV.
ContributorsLeaver, Jillian (Author) / Hruschka, Daniel (Thesis director) / Doran, Chris (Committee member) / School of Life Sciences (Contributor) / Barrett, The Honors College (Contributor)
Created2021-05
Description
The main purpose of this investigation is to determine the intensity, economic costs, and potential solutions to HIV/AIDS stigma in the United States and Tanzania. In order to accomplish this goal, a literature review was conducted, and an economic model was created to determine how HIV/AIDS treatment deterrence manifests and affects these countries. The results of the economic model suggested that Tanzania suffers greater economic loss due to HIV treatment deterrence than the United States, however, both countries lose a significant portion of GDP due to HIV treatment deterrence. Stigma materializes differently in each country based on a variety of sociocultural factors. These include the demographic groups most affected, the perception of those living with HIV, and how sexually transmitted infections are perceived within communities. The solutions to HIV stigma must be tailored to the country, culture, and context that it arises for interventions to be effective. To further prevent HIV/AIDS stigma and its economic consequences, the etiology of stigma and how it presents in different communities must be understood.
ContributorsSangha, Pooja (Co-author) / Hopewell, Sophia (Co-author) / Baldwin, Marjorie (Thesis director) / Hruschka, Daniel (Committee member) / Department of Psychology (Contributor) / Department of Economics (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05
Description
Pre-Exposure Prophylaxis (PrEP) is any medical or public health procedure used before exposure to the disease causing agent, its purpose is to prevent, rather than treat or cure a disease. Most commonly, PrEP refers to an experimental HIV-prevention strategy that would use antiretrovirals to protect HIV-negative people from HIV infection. A deterministic mathematical model of HIV transmission is developed to evaluate the public-health impact of oral PrEP interventions, and to compare PrEP effectiveness with respect to different evaluation methods. The effects of demographic, behavioral, and epidemic parameters on the PrEP impact are studied in a multivariate sensitivity analysis. Most of the published models on HIV intervention impact assume that the number of individuals joining the sexually active population per year is constant or proportional to the total population. In the second part of this study, three models are presented and analyzed to study the PrEP intervention, with constant, linear, and logistic recruitment rates. How different demographic assumptions can affect the evaluation of PrEP is studied. When provided with data, often least square fitting or similar approaches can be used to determine a single set of approximated parameter values that make the model fit the data best. However, least square fitting only provides point estimates and does not provide information on how strongly the data supports these particular estimates. Therefore, in the third part of this study, Bayesian parameter estimation is applied on fitting ODE model to the related HIV data. Starting with a set of prior distributions for the parameters as initial guess, Bayes' formula can be applied to obtain a set of posterior distributions for the parameters which makes the model fit the observed data best. Evaluating the posterior distribution often requires the integration of high-dimensional functions, which is usually difficult to calculate numerically. Therefore, the Markov chain Monte Carlo (MCMC) method is used to approximate the posterior distribution.
ContributorsZhao, Yuqin (Author) / Kuang, Yang (Thesis advisor) / Taylor, Jesse (Committee member) / Armbruster, Dieter (Committee member) / Tang, Wenbo (Committee member) / Kang, Yun (Committee member) / Arizona State University (Publisher)
Created2014