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Articles 1 - 5 of 5
Full-Text Articles in Public Health
Mixture Models For Interval Censored Outcomes, Yibai Zhao
Mixture Models For Interval Censored Outcomes, Yibai Zhao
Doctoral Dissertations
Silent events such as the first detectable HIV infection, the onset of Type 2 diabetes and prostate cancer progression are often ascertained by diagnostic tests and/or self-reports that are scheduled periodically. In such applications, we only observe the time to the event of interest to lie between the times of last negative and the first positive tests, resulting in interval-censored observations. In addition, in some medical studies, a substantial proportion of participants may experience the events before the study, so-called prevalent cases, or participants may never experience the event, that is regarded as non-susceptible cases (or indolent cancer or long-term …
Quality Of Life For Women With Chronic Lyme Disease: A Socioeconomic Investigation, Dale M. Jones
Quality Of Life For Women With Chronic Lyme Disease: A Socioeconomic Investigation, Dale M. Jones
Doctoral Dissertations
This is a mixed methods investigation of how chronic Lyme disease, including Lyme-like diseases and co-infections, affects the quality of life of women who have chronic Lyme. Both quantitative and qualitative methods were used during three phases of research: a 91-question survey instrument followed by focus group discussions and written narratives. The research considered the socioeconomic impact on quality of life in five areas: obtaining a diagnosis, relationships and personal support systems, struggles with the medical system, the ability to work, and access to treatment. There were 500 responses to the survey, of which 373 were analyzed; 11 participants in …
Design And Development Of The Urban Population Health Observatory To Improve Disease Surveillance And Response, Whitney Brakefield
Design And Development Of The Urban Population Health Observatory To Improve Disease Surveillance And Response, Whitney Brakefield
Doctoral Dissertations
Chronic and infectious diseases have a profound impact on the quality and length of life of populations that suffer from these conditions. Scientists, physicians, and health officials are seeking innovative approaches to decrease the morbidity and mortality of deadly diseases. Incorporating artificial intelligence and data science techniques across the health science domain could improve disease surveillance, intervention planning, and policymaking. In this dissertation, we describe the design and development of the Urban Population Health Observatory (UPHO), an explainable knowledge-based multimodal big data analytics platform. A common challenge for conducting multimodal big data analytics is integrating multidimensional heterogeneous data sources, which …
Decision-Analytic Models Using Reinforcement Learning To Inform Dynamic Sequential Decisions In Public Policy, Seyedeh Nazanin Khatami
Decision-Analytic Models Using Reinforcement Learning To Inform Dynamic Sequential Decisions In Public Policy, Seyedeh Nazanin Khatami
Doctoral Dissertations
We developed decision-analytic models specifically suited for long-term sequential decision-making in the context of large-scale dynamic stochastic systems, focusing on public policy investment decisions. We found that while machine learning and artificial intelligence algorithms provide the most suitable frameworks for such analyses, multiple challenges arise in its successful adaptation. We address three specific challenges in two public sectors, public health and climate policy, through the following three essays. In Essay I, we developed a reinforcement learning (RL) model to identify optimal sequence of testing and retention-in-care interventions to inform the national strategic plan “Ending the HIV Epidemic in the US”. …
Oxybenzone And The Mammary Gland: Impact Of An Environmental Pollutant On Health, Disease & Ethical Decision-Making, Klara Matouskova
Oxybenzone And The Mammary Gland: Impact Of An Environmental Pollutant On Health, Disease & Ethical Decision-Making, Klara Matouskova
Doctoral Dissertations
The environmental pollutant and common sunscreen compound oxybenzone is a benzophenone type UV light chemical filter used in industrial and consumer goods. This chemical widely contaminates human tissues, non-human species, and environmental matrices. In this dissertation, oxybenzone is investigated for its effects on the mouse mammary gland in the offspring following perinatal exposure; after perinatal and prepubertal exposures as a dual environmental insult during two sensitive times of development; and in adults after exposure during pregnancy & lactation as an environmental factor potentially increasing the tissue susceptibility to mammary tumors. Chapter 1 introduces the mammary gland. Chapter 2 reviews UV …