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All Articles in Disease Modeling

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386 full-text articles. Page 1 of 17.

Multi-Strain Epidemic Model With Infected Vaccinated And Re-Infected Recovered Population: Application To Covid-19 Pandemic, Olusegun Michael Otunuga 2022 Augusta University

Multi-Strain Epidemic Model With Infected Vaccinated And Re-Infected Recovered Population: Application To Covid-19 Pandemic, Olusegun Michael Otunuga

Biology and Medicine Through Mathematics Conference

No abstract provided.


Dynamics Of The Climax And Attack Communities In Cystic Fibrosis, Peter Uhl 2022 San Diego State University

Dynamics Of The Climax And Attack Communities In Cystic Fibrosis, Peter Uhl

Biology and Medicine Through Mathematics Conference

No abstract provided.


The Effect Of Prep Uptake And Adherence On The Spread Of Hiv In The Presence Of Casual And Long-Term Partnerships, Sylvia J. Gutowska, Katharine Gurski, Kathleen Hoffman 2022 University of Maryland - Baltimore County

The Effect Of Prep Uptake And Adherence On The Spread Of Hiv In The Presence Of Casual And Long-Term Partnerships, Sylvia J. Gutowska, Katharine Gurski, Kathleen Hoffman

Biology and Medicine Through Mathematics Conference

No abstract provided.


“Pandemias Políticas: The Effects Of Political And Social Instability On Infectious Disease Epidemiology In Latin America"”, Sarah H. Noonan 2022 University of South Carolina - Columbia

“Pandemias Políticas: The Effects Of Political And Social Instability On Infectious Disease Epidemiology In Latin America"”, Sarah H. Noonan

Senior Theses

This paper seeks to analyze the relationship between political and social unrest and conflict and infectious disease epidemiology in Latin America. An analysis of published literature regarding epidemiological, biomedical, political, and historical content was conducted to highlight potential connections between infectious disease epidemics and sociopolitical conflict in the region. Specific analyses of Smallpox, Venezuelan Equine Encephalitis, Chagas disease, Cholera, Dengue, and COVID-19 were conducted, in an effort to uncover potential causations and context of epidemics of these conditions. Results of this analysis depict a necessity for further research into public health and disease control mechanisms during times of conflict and ...


A Mathematical Model Of Vagus Nerve Stimulation In Alzheimer's Disease, Julianne Miranda 2022 William & Mary

A Mathematical Model Of Vagus Nerve Stimulation In Alzheimer's Disease, Julianne Miranda

Undergraduate Honors Theses

Alzheimer’s Disease is a neurodegenerative condition characterized by cognitive decline as a result of brain atrophy. The exact cause of Alzheimer’s is unknown but current theories involve the aggregation of amyloid beta plaques as well as neurofibrillary tangles. Inflammation is emerging as central to the progression of the disease, with increased amyloid beta plaques and neurofibrillary tangles associated with the Nuclear Factor Kappa B pathway. This project presents a mathematical model of the impact of vagus nerve stimulation in Alzheimer’s Disease, as seen through the Nuclear Factor Kappa B (NFKB) pathway. The model examines several factors involved ...


The Pandemic From Above: Estimating Covid-19 Cases Using Deep Learning And Satellite Imagery, John Hennin 2022 William & Mary

The Pandemic From Above: Estimating Covid-19 Cases Using Deep Learning And Satellite Imagery, John Hennin

Undergraduate Honors Theses

Monitoring the spread of an outbreak of disease (such as COVID-19) is an important component of any coordinated pandemic response. Across the globe, our ability to conduct such monitoring - especially at early stages of the COVID- 19 pandemic - was highly limited due to a lack of public reporting mechanisms. Today, the process of case data collection remains expensive and, in some regions, is subject to political considerations. Researchers have turned to some techniques leveraging Google Trends and Twitter data to overcome limitations in public data sources. Here, we provide another approach which leverages satellite information to provide estimates of case ...


Decision-Analytic Models Using Reinforcement Learning To Inform Dynamic Sequential Decisions In Public Policy, SEYEDEH NAZANIN KHATAMI 2022 University of Massachusetts Amherst

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 ...


Imyoblasts For Ex Vivo And In Vivo Investigations Of Human Myogenesis And Disease Modeling, Dongsheng Guo, Katelyn Daman, Jennifer Jc Chen, Meng-Jiao Shi, Jing Yan, Zdenka Matijasevic, Rene Maehr, Oliver D. King, Lawrence J. Hayward, Charles P. Emerson Jr. 2022 UMass Chan Medical School

Imyoblasts For Ex Vivo And In Vivo Investigations Of Human Myogenesis And Disease Modeling, Dongsheng Guo, Katelyn Daman, Jennifer Jc Chen, Meng-Jiao Shi, Jing Yan, Zdenka Matijasevic, Rene Maehr, Oliver D. King, Lawrence J. Hayward, Charles P. Emerson Jr.

UMass Chan Medical School Faculty Publications

Skeletal muscle myoblasts (iMyoblasts) were generated from human induced pluripotent stem cells (iPSCs) using an efficient and reliable transgene-free induction and stem cell selection protocol. Immunofluorescence, flow cytometry, qPCR, digital RNA expression profiling, and scRNA-Seq studies identify iMyoblasts as a PAX3+/MYOD1+ skeletal myogenic lineage with a fetal-like transcriptome signature, distinct from adult muscle biopsy myoblasts (bMyoblasts) and iPSC-induced muscle progenitors. iMyoblasts can be stably propagated for > 12 passages or 30 population doublings while retaining their dual commitment for myotube differentiation and regeneration of reserve cells. iMyoblasts also efficiently xenoengrafted into irradiated and injured mouse muscle where they undergo differentiation ...


An Odd-Protocol For Agent-Based Model For The Spread Of Covid-19 In Ireland, Elizabeth Hunter, John D. Kelleher 2022 Technological University Dublin

An Odd-Protocol For Agent-Based Model For The Spread Of Covid-19 In Ireland, Elizabeth Hunter, John D. Kelleher

Reports

No abstract provided.


Quantitative Imaging Of Net Axonal Transport In Vivo: A Biomarker For Motor Neuron Health And Disease, Pin-Tsun Justin Lee 2021 UMass Chan Medical School

Quantitative Imaging Of Net Axonal Transport In Vivo: A Biomarker For Motor Neuron Health And Disease, Pin-Tsun Justin Lee

Morningside Graduate School of Biomedical Sciences Dissertations and Theses

Amyotrophic lateral sclerosis (ALS) is a lethal, progressive neurodegenerative disorder that selectively affects both upper and lower motor neurons, leading to muscle weakness, paralysis and death. Despite recent advances in the identification of genes associated with ALS, the quest for a sensitive biomarker for rapid and accurate diagnosis, prognosis, and treatment response monitoring has not been fulfilled. In this thesis, I report a method of quantifying the integrity of motor neurons in vivo using imaging to record uptake and retrograde transport of intramuscularly injected tetanus toxin fragment C (TTC) into spinal motor neurons. This method tracks and profiles progression of ...


Novel Approaches For Enhancing Cell Survival And Function In Vivo, Ou Wang 2021 University of Nebraska-Lincoln

Novel Approaches For Enhancing Cell Survival And Function In Vivo, Ou Wang

Chemical & Biomolecular Engineering Theses, Dissertations, & Student Research

FDA has approved several cell-based therapeutics and hundreds of cell therapy clinical trials are ongoing. Cells will be a significant type of medicine after small molecule and protein drugs. However, several obstacles need to be addressed to achieve the widespread use of cellular therapeutics. The first challenge is the low efficacy of cell transplantation due to low retention, survival, integration, and function of cells in vivo. The second challenge is producing a massive number of cells for clinical treatment with cost-effectively and reproducibly technologies.

In this thesis, we proposed and investigated two approaches to address these challenges. To begin with ...


A Dystrophin Exon‐52 Deleted Miniature Pig Model Of Duchenne Muscular Dystrophy And Evaluation Of Exon Skipping, Yusuke Echigoya, Nhu Trieu, William Duddy, Hong M. Moulton, HaiFang Yin, Terence A. Partridge, Eric P. Hoffman, Joe N. Kornegay, Frank A. Rohret, Christopher S. Rogers, Toshifumi Yokota 2021 George Washington University

A Dystrophin Exon‐52 Deleted Miniature Pig Model Of Duchenne Muscular Dystrophy And Evaluation Of Exon Skipping, Yusuke Echigoya, Nhu Trieu, William Duddy, Hong M. Moulton, Haifang Yin, Terence A. Partridge, Eric P. Hoffman, Joe N. Kornegay, Frank A. Rohret, Christopher S. Rogers, Toshifumi Yokota

Genomics and Precision Medicine Faculty Publications

No abstract provided.


4d Ex Vivo Crispr/Cas9 Whole-Genome Screen To Identify Genes Regulating Lung Cancer Metastasis, Alexandria Plumer 2021 The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences

4d Ex Vivo Crispr/Cas9 Whole-Genome Screen To Identify Genes Regulating Lung Cancer Metastasis, Alexandria Plumer

The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access)

Metastatic lung cancer has a 5-year survival rate of 5%. Lung cancers tend to be asymptomatic until late stages, and almost 90% are not diagnosed until they are advanced. Metastases are very rare events, often initiated by a single cell from a primary tumor into a new niche at a distant location. Investigation of the early metastatic process is of urgent need for the development of early diagnostics and targeted therapeutics. We performed a proof-of-concept CRISPR/Cas9 whole genome knockout screen in the A549 lung adenocarcinoma cell line and utilized a novel ex vivo 4D lung metastasis model to find ...


Modeling, Analysis And Simulation Of Covid-19 Interaction Dynamics Between Local Community In Saudi Arabia And Visiting Sub-Population, Manal Badgaish, Padmanabhan Seshaiyer 2021 Umm Al-Qura University

Modeling, Analysis And Simulation Of Covid-19 Interaction Dynamics Between Local Community In Saudi Arabia And Visiting Sub-Population, Manal Badgaish, Padmanabhan Seshaiyer

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Using Parameter Estimation For Mathematical Model Predicting Pediatric Scd Pain, Quindel Jones 2021 Illinois State University

Using Parameter Estimation For Mathematical Model Predicting Pediatric Scd Pain, Quindel Jones

Annual Symposium on Biomathematics and Ecology Education and Research

No abstract provided.


Simulating Influenza Epidemics With Waning Vaccine Immunity, Chun-Miin Chen, Alia C. Stanciu 2021 Bucknell University

Simulating Influenza Epidemics With Waning Vaccine Immunity, Chun-Miin Chen, Alia C. Stanciu

Faculty Journal Articles

In this study, we simulate an influenza epidemic that considers the effects of waning immunity by fitting epidemiological models to CDC secondary historical data aggregated on a weekly basis, and derive the transmission rates at which susceptible individuals become infected over the course of the influenza season. Using a system of differential equations, we define four groups of individuals in a population: susceptible, vaccinated, infected, and recovered. We show that a larger number of initially infected individuals might not only bring the influenza season to an end sooner but also reduce the epidemic size. Moreover, any influenza virus that entails ...


Complex Feline Disease Mapping Using A Dense Genotyping Array [Preprint], Isabel Hernandez, Jessica J. Hayward, Michelle E. White 2021 Cornell University

Complex Feline Disease Mapping Using A Dense Genotyping Array [Preprint], Isabel Hernandez, Jessica J. Hayward, Michelle E. White

UMass Chan Medical School Faculty Publications

The current feline genotyping array of 63k single nucleotide polymorphisms has proven its utility within breeds, and its use has led to the identification of variants associated with Mendelian traits in purebred cats. However, compared to single gene disorders, association studies of complex diseases, especially with the inclusion of random bred cats with relatively low linkage disequilibrium, require a denser genotyping array and an increased sample size to provide statistically significant associations. Here, we undertook a multi-breed study of 1,122 cats, most of which were admitted and phenotyped for nine common complex feline diseases at the Cornell University Hospital ...


Epithelial Memory Of Resolved Inflammation Limits Tissue Damage While Promoting Pancreatic Tumorigenesis, I-Lin Ho 2021 The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences

Epithelial Memory Of Resolved Inflammation Limits Tissue Damage While Promoting Pancreatic Tumorigenesis, I-Lin Ho

The University of Texas MD Anderson Cancer Center UTHealth Graduate School of Biomedical Sciences Dissertations and Theses (Open Access)

Inflammation is a major risk factor for pancreatic ductal adenocarcinoma. When occurring in the context of pancreatitis, mutations of KRAS accelerate tumor development. We discovered that long after its complete resolution, a transient inflammatory event primes pancreatic epithelial cells to subsequent transformation by oncogenic KRAS. Upon recovery from acute inflammation, epithelial cells of the pancreas display an enduring adaptive response associated with sustained transcriptional and epigenetic reprogramming. Such adaptation enables the prompt reactivation of acinar-to-ductal metaplasia (ADM) upon subsequent inflammatory events, thus efficiently limiting tissue damage via rapid decrease of zymogen production. We propose that since activating mutations of KRAS ...


Implementation Of Pediatric Adverse Childhood Experiences Screening In Primary Care, Alexzandra Hillyer 2021 University of Missouri-St. Louis

Implementation Of Pediatric Adverse Childhood Experiences Screening In Primary Care, Alexzandra Hillyer

Dissertations

Implementation of Pediatric Adverse Childhood Experiences Screening in Primary Care

Problem: Over half of children worldwide have experienced abuse in the past year. In 2012, The American Academy of Pediatrics released a policy statement emphasizing the importance of primary care providers implementing Adverse Childhood Experience (ACE) screening into all well-child examinations.

Methods: This quality improvement project was a descriptive, observational pilot study in which Center for Youth-Well ACE Questionnaire (CYW-ACE-Q) was implemented into a large, metropolitan pediatric primary care clinic. A convenience sample was utilized composed of pediatric patients between the ages of 5 and 18 being seen for a ...


Mathematical Modeling, Analysis, And Simulation Of The Covid-19 Pandemic With Behavioral Patterns And Group Mixing, Comfort Ohajunwa, Padmanabhan Seshaiyer 2021 The Governor's School at Innovation Park

Mathematical Modeling, Analysis, And Simulation Of The Covid-19 Pandemic With Behavioral Patterns And Group Mixing, Comfort Ohajunwa, Padmanabhan Seshaiyer

Spora: A Journal of Biomathematics

Due to the rise of COVID-19 cases, many mathematical models have been developed to study the disease dynamics of the virus. However, despite its role in the spread of COVID-19, many SEIR models neglect to account for human behavior. In this project, we develop a novel mathematical modeling framework for studying the impact of mixing patterns and social behavior on the spread of COVID-19. Specifically, we consider two groups, one exhibiting normal behavior who do not reduce their contacts and another exhibiting altered behavior who reduce their contacts by practicing non-pharmaceutical interventions such as social distancing and self-isolation. The dynamics ...


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