Disease Modeling Commons^™

A Predictive Coding Account Of Spatial Working Memory Following Prophylactic Levetiracetam Administration Prior To Traumatic Brain Injury, Omeima Mutwali

Dissertations, Theses, and Capstone Projects

Traumatic brain injury (TBI) symptom prevention and remediation is an important area of research that would benefit vulnerable groups, including active-duty and veteran soldiers. These patients can sustain penetrative forces in fields of combat or in training, which result in focal lesions that trigger inflammatory and degenerative processes in the brain. Both primary and secondary injuries are associated with changes to cognition, behavior and affective state. This disease poses increased risk of epileptogenesis, as well. Given these outcomes, prior research has evaluated levetiracetam (LEV) as a prophylactic treatment for seizures, cognitive deficits and negative emotionality. LEV acts as a presynaptic …

Rhythms Of Hippocampal Function And Memory After Moderate Prenatal Alcohol Exposure, Lilliana May Sanchez

Psychology ETDs

Fetal Alcohol Spectrum Disorders involve morphologic and neurobiological abnormalities in offspring subjected to prenatal alcohol exposure. Although not as well studied as high exposure, moderate prenatal alcohol exposure represents the most common and undetected form in humans. While learning and memory deficits have been well characterized at the behavioral level in humans with Fetal Alcohol Spectrum Disorders and in animal models of moderate prenatal alcohol exposure, few studies have determined the circuit or systems level mechanisms of the behavioral deficits. A complete understanding of the neural bases of memory deficits after moderate prenatal alcohol exposure is needed to ultimately identify …

Determinants Of Hypertension Awareness And Control In Kenya: A Secondary Analysis Of National Survey Data, Alexander K. Davis

Poster Presentations

No abstract provided.

A Scoping Review To Conceptualize Social Privilege For Studying Patients' Health Outcomes And Health Disparities, Elizabeth A. Brown, Priyanka Patel, Esther May B. Sarino, Vladimir Markovic, Carles Muntaner

Health Behavior, Policy & Management Faculty Publications

Background

The continued reliance on single-category self-reported demographic data (e.g., race/ethnicity) reflects conceptual limitations that hinder the study and understanding of health outcomes research. There is a pressing need for more precise measures of social privilege that conceptualize privilege and oppression while enabling the examination of their effects on health outcomes in the United States (US) healthcare system.

Objective

The purpose of this scoping review was to review the literature, determine how researchers have measured aspects of privilege and oppression, and develop a conceptual framework to study patients' social privilege in the US healthcare system and public health research.

Methods …

Shape: Spatial Health And Population Estimator, Emma M. Von Hoene, Aanya Gupta, Hamdi Kavak, Amira Roess, Taylor Anderson

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Modeling The Effect Of Human Behavior On Disease Transmission, Katie Yan

Rose-Hulman Undergraduate Mathematics Journal

Many infectious disease models build upon the classic Susceptible-Infected-Recovered (SIR) model, a compartmental system that is used to simulate disease transmission in a population. The SIR model focuses on the transmission of disease but rarely includes behavioral or informational components that explore how disease perception influences transmission. In this paper, we propose a six-compartment behavioral SIR model that further segments the classic SIR system based on knowledge of information about the disease, and we explore how sharing information affects disease transmission. We designate two states as aware and unaware based on whether the relevant information is known by the population. …

Code For Care: Hypertension Prediction In Women Aged 18-39 Years, Kruti Sheth

Electronic Theses, Projects, and Dissertations

The longstanding prevalence of hypertension, often undiagnosed, poses significant risks of severe chronic and cardiovascular complications if left untreated. This study investigated the causes and underlying risks of hypertension in females aged between 18-39 years. The research questions were: (Q1.) What factors affect the occurrence of hypertension in females aged 18-39 years? (Q2.) What machine learning algorithms are suited for effectively predicting hypertension? (Q3.) How can SHAP values be leveraged to analyze the factors from model outputs? The findings are: (Q1.) Performing Feature selection using binary classification Logistic regression algorithm reveals an array of 30 most influential factors at an …

Cardiovascular Disease Prediction Modelling: A Machine Learning Approach, Usmaan Al-Shehab, Maduka Gunasinghe, Yousuf Elkhoga, Nimay Patel, Juliana Yang

Rowan-Virtua Research Day

The objective of this project is to utilize the UCI Heart Disease dataset to identify physiological biomarkers that are highly correlated with heart disease incidence. A predictive model can then be developed using these biomarkers to estimate the likelihood of someone having or developing a heart-related condition. This study compares the efficacy of predicting cardiovascular disease as an outcome using three machine learning algorithms: Support Vector Machine, Gaussian Naive Bayes, and logistic regression. Support Vector Machine works by creating hyperplanes between data points to conduct classification. Gaussian Naive Bayes works by using the conditional probabilities of events to classify the …

Species Data And Vector Modeling: Evaluating Datasets For Improved Models Of Ixodes Ricinus Tick Distribution In Europe Under A Changing Climate, Steven Jones

Electronic Theses and Dissertations

To increase capacity for monitoring and surveillance of tick-borne diseases, publicly available tick distribution and climate change datasets are required to create accurate predictive distribution models. It is difficult, however, to assess model accuracy and utility when using incomplete datasets.  The more recent development of comprehensive tick databases for Europe and availability of climate change scenarios from multiple IPCC Assessment Reports allows for improved modeling efforts. Multiple tick datasets were combined and three climate change projections were compared by predicting current and future distributions of Ixodes ricinus ticks in Europe using the MaxEnt species distribution model. Overall, much of Europe …

Humanizing Mathematical Biology Research And Education, Carrie Diaz Eaton, Ognyan Simeonov

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.

Cost Analysis Of Implementing An Exercise Program For Fall And Fracture Prevention In Older Adults On Proton Pump Inhibitor Therapy, Thomas Adam Wichelmann, Nhan Dang, David H. Kruchko, Sufyan Abdulmujeeb, Eli D. Ehrenpreis

Journal of Patient-Centered Research and Reviews

Purpose: Falls have significant financial impact. Proton pump inhibitor (PPI) therapy is associated with an increased risk of falls and fractures. Exercise programs have been shown to decrease risk of falls in the elderly population and are recommended by the U.S. Preventive Services Task Force for patients over age 65 to reduce falls. Our study aimed to explore the potential financial benefit of implementing three different Centers for Disease Control and Prevention-recommended exercise-based interventions for fall prevention (Tai Chi, Stepping On, and Otago Exercise Program) in ≥ 65-year-old patients on PPI therapy.

Methods: A Markov model was developed to predict …

A Multidisciplinary Collaboration Between Graphic Design And Physics Classes Responding To Covid-19, Szilvia Kadas, Eric M. Edlund

The SUNY Journal of the Scholarship of Engagement: JoSE

Students from graphic design and physics classes at SUNY Cortland collaborated during the spring semester of 2020 on a multidisciplinary project related to the COVID-19 pandemic. In these collaborations, the students’ individual contributions were part of a larger project that required a diverse skill set, through which students learned how different skills can complement their own disciplines. The graphic design and physics instructors applied a project-based learning philosophy applying the Common Problem Pedagogy (CPP) framework to construct student-teams composed of both disciplines. This project explored how coordinated social actions can allow the public to exercise control in uncertain times. Students …

A Unified Health Information System Framework For Connecting Data, People, Devices, And Systems, Wu He, Justin Zuopeng Zhang, Huanmei Wu, Wenzhuo Li, Sachin Shetty

Information Technology & Decision Sciences Faculty Publications

The COVID-19 pandemic has heightened the necessity for pervasive data and system interoperability to manage healthcare information and knowledge. There is an urgent need to better understand the role of interoperability in improving the societal responses to the pandemic. This paper explores data and system interoperability, a very specific area that could contribute to fighting COVID-19. Specifically, the authors propose a unified health information system framework to connect data, systems, and devices to increase interoperability and manage healthcare information and knowledge. A blockchain-based solution is also provided as a recommendation for improving the data and system interoperability in healthcare.

Information Needs Of Traditional Medicine Practitioners (Tmps) In Nigeria With A Particular Reference To Alimosho Local Government Of Lagos State, Adeniran Pauline Oghenekaro Mrs.

Library Philosophy and Practice (e-journal)

Information plays a crucial role in modern society. It helps people to develop their knowledge of the world. This knowledge guides them against mistakes leading to effectiveness and efficiency in all aspects of life. This survey aimed to determine the Information needs and sources of Information of Traditional Medicine Practitioners (TMPs) in Nigeria with reference to Alimosho Local Government Area of Lagos State. The study population comprised forty (40) registered traditional medicine practitioners in Alimosho Local Government Area of Lagos State. The questionnaire instrument was used for data collection in which forty (40) copies were administered to the traditional medicine …

Cost-Effectiveness Of Interventions Targeting Hard-To-Reach Populations Living With Hiv In Eastern And Southern Africa, Deo Mujwara

Theses and Dissertations

In Eastern and Southern Africa, hard-to-reach populations (e.g., long distance truck drivers and female sex workers), defined as populations that are difficult to interact or engage with due to their unique behaviors and characteristics, are disproportionately affected by the HIV epidemic and are at high-risk of acquiring and transmitting HIV. Further, these populations have substantially low uptake of HIV testing services, and those that have been diagnosed with HIV and on antiretroviral therapy experience high loss-to-follow-up from treatment programs.

Hard-to-reach populations face unique barriers in accessing and utilizing routine HIV care such as provider stigmatization towards sex workers and highly …

How Can Econometrics Help Fight The Covid'19 Pandemic?, Kevin Alvarez, Vladik Kreinovich

Departmental Technical Reports (CS)

The current pandemic is difficult to model -- and thus, difficult to control. In contrast to the previous epidemics whose dynamics was smooth and well described by the existing models, the statistics of the current pandemic is highly oscillating. In this paper, we show that these oscillations can be explained if we take into account the disease's long incubation period -- as a result of which our control measures are determined by outdated data, showing number of infected people two weeks ago. To better control the pandemic, we propose to use the experience of economics, where also the effect of …

Network Modeling The Impact Of Community-Based Male-Screening On The Chlamydia Trachomatis Prevalence In Women, Zhuolin Qu

Biology and Medicine Through Mathematics Conference

No abstract provided.

Malaria Risk On Ancient Roman Roads: A Study And Application To Assessing Travel Decisions In Asia Minor By The Apostle Paul, Daniel C. Browning Jr

Master's Theses

This study models malaria risks for travelers on ancient Roman roads with the goal of providing a tool for historical assessment of travel accounts from antiquity. The project includes: identification of malaria risk factors and associated spatial datasets, malaria risk model construction, verification and validation against available pre-eradication data, overlay of ancient Roman road data, and an initial case-study application to the journeys of the Apostle Paul, as narrated in the New Testament book, Acts of the Apostles (Acts). The project is intentionally cross-disciplinary in bringing the technical capabilities of GIS to the task of evaluating nuanced textual sources for …

An Analysis Of The Rajasthan Public Health System’S Response To The 2019 Dengue Insurgence, Luke Bryan

Independent Study Project (ISP) Collection

Dengue virus is in a pandemic status and is a major public health issue in the modern world. The mosquito-borne disease is largely prevalent in Asia and specifically India, where more than half of the states are considered to have complete presence of the dengue virus. The intricate infrastructure of the Indian public health system looks for dengue cases at all levels and reports to the integrated disease surveillance programme (IDSP).

Analyses of the IDSP and trends of dengue cases was done in response to dengue outbreaks throughout the state. Geographic information system (GIS) maps were created to evaluate a …

The Influence Of Stressful Life Events On The Development Of Type 2 Diabetes, Joshua Minks

Dissertations

This study examined the relationship between distress and the development of Type 2 diabetes mellitus (T2DM) in the presence of established risk factors. Distress secondary to mental health disparities, stressful life events, and work conditions has been shown to promote insulin resistance and the development of T2DM.

Subjects (N=79) diagnosed with T2DM within the previous six months were recruited from SSM Health Centers and VA Medical Centers in the greater St. Louis area. They completed the Recent Life Changes Questionnaire, ENRICHD Social Support Instrument, and a demographic survey and analyses were conducted to determine differences between the veteran …

Ethnicity, Climate, And House Types As Mortality Factors In The New Orleans' 1878 Yellow Fever Outbreak, Gabriele Richardson

LSU Doctoral Dissertations

The following study is first a demonstration that even incomplete health data from 1878 New Orleans’ yellow fever outbreak can be used with modern epidemiological methods and achieve useful and revealing results. Accordingly, this research examines three possible associations between New Orleans’ population exposed to yellow fever and the environment they lived in, using 4,755 yellow fever cases, derived from the New Orleans Board of Health report, Cemetery Burial records, Hospital, Asylum, and prison registers, and New Orleans obituaries. The first relationship addresses the vulnerability to yellow fever for people born in Italy, France, Great Britain, and the German Empire, …

Spatial Modelling And Wildlife Health Surveillance: A Case Study Of White Nose Syndrome In Ontario, Lauren Yee

Theses and Dissertations (Comprehensive)

Wildlife data is often limited by survey effort, small sample sizes, and spatial biases associated with collection and missing data. These factors can create unique challenges from a surveillance perspective when trying to extract spatial patterns of habitat suitability and disease distributions for conservation and management purposes. This thesis examined data quality from a wildlife health database in the context of spatial analysis of wildlife disease. Spatial analysis of the data to predict habitat suitability of bats and white nose syndrome afflicted bats was examined by using the MaxEnt modelling method. Methods to reduce spatial bias were examined and specific …

Computational Modeling Of Contrast Sensitivity And Orientation Tuning In Schizophrenia, Steven M. Silverstein, Docia L. Demmin, James A. Bednar

MODVIS Workshop

Computational modeling is being increasingly used to understand schizophrenia, but, to date, it has not been used to account for the common perceptual disturbances in the disorder. We manipulated schizophrenia-relevant parameters in the GCAL (gain control, adaptation, laterally connected) model (Stevens et al., 2013), run using the Topographica simulator (Bednar, 2012), to model low-level visual processing changes in the disorder. Our models incorporated: separate sheets for retinal, LGN, and V1 activity; gain control in the LGN; homeostatic adaptation in V1 based on a weighted sum of all inputs and limited by a logistic (sigmoid) nonlinearity; lateral excitation and inhibition in …

A Mixed-Methods Study: Self-Efficacy And Barriers To Participation In Workplace Wellness Programs, Massiel Perez-Calhoon

Dissertations

America needs a healthy workforce to sustain the country. The scourge of obesity continues to plague Americans despite government initiatives such as the Affordable Care Act and wellness programs in the workplace to combat this epidemic. However, despite initiatives to make America healthy, barriers continued to impede the nation’s health. Lack of awareness and sensitivity to what motivates individual participants versus group participants built formidable barriers to accessing all workplace employees equitably. The purpose of this study was twofold. First, the intent of this study was to explore the relationship between self-efficacy and the impact on participation and engagement when …

Chronic Pancreatitis, Pain, And Anxiety In An Alcohol And High Fat Mouse Model, Tiffanie Clinkinbeard

Theses and Dissertations--Gerontology

Homeodynamic space (HDS) shrinks as vulnerability increases with aging and repeated damage to the cells. HDS is lost in alcoholic pancreatitis patients due to overconsumption of alcohol, smoking, and high fat diets. Etiologically relevant animal models for study of chronic pancreatitis (CP) are needed. In order to begin filling this gap a central purpose of this dissertation research was to examine relationships between the alcohol and high fat diet (AHF) and pancreatitis with attention to hypersensitivity and anxiety-like behaviors. The AHF diet induced pancreatitis described here etiologically mimics human risk factors of AHF consumption for advancement to alcoholic CP.

In …

Space-Time Modelling Of Emerging Infectious Diseases: Assessing Leptospirosis Risk In Sri Lanka, Cameron C F Plouffe

Theses and Dissertations (Comprehensive)

In this research, models were developed to analyze leptospirosis incidence in Sri Lanka and its relation to rainfall. Before any leptospirosis risk models were developed, rainfall data were evaluated from an agro-ecological monitoring network for producing maps of total monthly rainfall in Sri Lanka. Four spatial interpolation techniques were compared: inverse distance weighting, thin-plate splines, ordinary kriging, and Bayesian kriging. Error metrics were used to validate interpolations against independent data. Satellite data were used to assess the spatial pattern of rainfall. Results indicated that Bayesian kriging and splines performed best in low and high rainfall, respectively. Rainfall maps generated from …

Analyzing The Effects Of Policy Options To Mitigate The Effect Of Sea Level Rise On The Public Health And Medically Fragile Population: A System Dynamics Approach, Rafael Diaz, Joshua Behr, Anna Jeng, Hua Liu, Franceso Longo

VMASC Publications

A critical question related to climate change concerns to how rising sea level will affect underserved populations and medically fragile population in coastal zones and floodplains. As sea levels rise, coastal waters will regain near-tidal areas and co-mingle with human-made pollutants, resulting from decades of industrial and commercial activity. This poses potential threat and risks to public health and the environment. It is critical that decision makers will initiate a process of parsing resources to the mitigation and management of these issues. The purpose of this research is to model the inherent dynamics of this process and understand how near-term …

Aids Denialism, Erika Jenel Delos Santos, Roy Llana, Jocelyn Tan

Festival of Communities: UG Symposium (Posters)

AIDS denialism is a growing issue in many parts the world. Through scholarly journal articles, book resources and other research tactics, further understanding how HIV/AIDS denialism is unethical can be distinguished. Discovering that AIDS is most prominent in South Africa explains why denialism is as critical as it is. However, the unethical aspect of AIDS denialism is in effect particularly amongst families. When a South African inhabitant realizes they have AIDS, they feel outcasted by their families due to shame. They fear as though they will be disowned because they have flaws that are unacceptable. These family values are significant …

Mathematical Aids Epidemic Model: Preferential Anti-Retroviral Therapy Distribution In Resource Constrained Countries, Nadia Abuelezam

HMC Senior Theses

HIV/AIDS is one of the largest health problems the world is currently facing. Even with anti-retroviral therapies (ART), many resource-constrained countries are unable to meet the treatment needs of their infected populations. ART-distribution methods need to be created that prevent the largest number of future HIV infections. We have developed a compartment model that tracks the spread of HIV in multiple two-sex populations over time in the presence of limited treatment. The model has been fit to represent the HIV epidemic in rural and urban areas in Uganda. With the model we examine the spread of HIV among urban and …

Aids: Prophecy And Present Reality, Victor De Gruttola, William Ira Bennett

New England Journal of Public Policy

Mathematical modeling of the AIDS epidemic can be useful for policymakers even though precise projections are not possible at this time. Models are useful in establishing ranges for current and future prevalence of HIV infection and incidence of AIDS, as well as in predicting the effect of a given intervention strategy. Most decision makers are using models implicitly when they use epidemiological information as a basis for policy; formulating a model explicitly permits examination of the underlying assumptions. By creating and testing a variety of models, an investigator can determine whether the models reflect more the underlying assumptions or the …