A5050654674- COVID-19 epidemiological studies
- Mathematical and Theoretical Epidemiology and Ecology Models
- HIV Research and Treatment
- dental development and anomalies
- Acute Ischemic Stroke Management
- Influenza Virus Research Studies
- Bone and Dental Protein Studies
- Immune Cell Function and Interaction
- Environmental Education and Sustainability
- T-cell and B-cell Immunology
- Mental Health Research Topics
- Dental Trauma and Treatments
- T-cell and Retrovirus Studies
- Virology and Viral Diseases
- Food Security and Health in Diverse Populations
- Data-Driven Disease Surveillance
- Polyomavirus and related diseases
- Energy Efficiency and Management
- Housing Market and Economics
- Health, Environment, Cognitive Aging
- Animal Virus Infections Studies
- HIV/AIDS drug development and treatment
- Connective tissue disorders research
- demographic modeling and climate adaptation
- Evolution and Genetic Dynamics
Technological University Dublin
2018-2025
University of Colorado Boulder
2023-2024
University of Massachusetts Amherst
2020
Emory University
2009-2018
University of Alabama at Birmingham
1979-2012
World Anti-Doping Agency
2008
Université Laval
2007
American University of Beirut
2007
University of Cambridge
1995-2006
Addenbrooke's Hospital
1995
Agent-based simulation modelling has been used in many epidemiological studies on infectious diseases.However, because agent based is a field without any clear protocol for developing simulations the researcher given high amount of flexibility.This flexibility led to di erent forms agent-based simulations.In this paper we review existing literature models.From our identify key similarities and erences simulations.We then use these create taxonomy models show how can be used.
Agent-based models are a tool that can be used to better understand the dynamics of an infectious disease outbreak. An outbreak is influenced by many factors including vaccination or immunity levels, population density, and age structure population. We hypothesize these along with interactions actions individuals would lead outbreaks different size severity even in two towns appear similar on paper. Thus, it necessary implement model able capture individuals. Using openly available data we...
In the most extensive examination to date of relationship between pausing reverse transcriptase (RT) and RNA secondary structures, pause events were found be correlated inverted repeats both ahead of, behind catalytic site in vitro. addition strongly associated with polyadenosine sequences a lesser degree diadenosines monoadenosine residues. Pausing was also inversely proportional potential bond strength nascent strand template at point termination, for mono dinucleotides. A run five...
Both agent-based models and equation-based can be used to model the spread of an infectious disease.Equation-based have been shown capture overall dynamics a disease outbreak while are able heterogeneous characteristics agents that drive outbreak.However, computationally intensive.To advantages both models, we create hybrid where component switches between equation-based.The switch is determined using number infected.We first test at town level then county investigating di erent values...
The infection of a number new and established B-cell lines by human T-cell lymphotropic virus III (HTLV-III) was investigated. B lymphocytes differed in their expression T4 antigens detected specific monoclonal antibodies (MAbs) the presence Epstein Barr (EBV)-DNA or antigens. EBV genome only requirement for B-lymphocytes HTLV-III, although its did not ensure infection. Two antigen-positive lines, lacking early (EA) viral capsid (VCA), could be productively infected with no induction known...
Agent-based models can be used to better understand the impacts of lifting restrictions or implementing interventions during a pandemic. However, agent-based are computationally expensive, and running model large population result in simulation taking too long run for useful analysis tool public health crisis. To reduce computing time power while detailed spread COVID-19 Republic Ireland, we introduce scaling factor that equates 1 agent 100 people population. We present results from...
Background The challenge posed by the nutrition transition occurring throughout world is enormous: rates of chronic disease, particularly overweight and obesity cardiovascular have reached alarming levels—often in parallel with high levels micronutrient deficiencies. Lebanon no exception. And yet this Mediterranean country enjoys a rich biodiversity, thousands endemic species an equally culinary history, largely based on its local including wild edible plants. Objectives To record...
ABSTRACT HLA-B*57:01 and HLA-B*57:03, the most prevalent HLA-B*57 subtypes in Caucasian African populations, respectively, are HLA alleles protective against HIV disease progression. Understanding mechanisms underlying this immune control is of critical importance, yet they remain unclear. Unexplained differences observed impact dominant cytotoxic T lymphocyte (CTL) response restricted by HLA-B*57:03 chronic infection on Gag epitope KAFSPEVIPMF (KF11; 162 to 172). We previously showed that...
A stable secondary structure model is presented for the region 3' of primer-binding site to 130 bases into gag sequence prototype type D retrovirus Mason-Pfizer monkey virus. Using biochemical probing RNA from this in association with free energy minimization, we have identified a stem-loop region, which other studies has been shown be important genomic encapsidation. The involves highly stem five G-C pairs terminating heptaloop. Comparison virus one predicted squirrel demonstrates an...
In understanding the dynamics of spread an infectious disease, it is important to understand how a town’s place in network towns within region will impact disease spreads that town and from town. this article, we take model for single scale up simulate containing multiple towns. The validated by looking at adding additional commuters influences outbreak We then look centrality outbreak. Our main finding coming into have greater effect on whether than going out. findings could potentially be...
Equation-based and agent-based models are popular methods in understanding disease dynamics. Although there many types of equation-based models, the most common is SIR compartmental model that assumes homogeneous mixing populations. One way to understand effects these assumptions by agentization. can be agentized creating a simple replicates results model, then adding complexity it possible break populations test how breaking different outputs. We report set experiments comparing outputs an...
ABSTRACT One of the more interesting ideas for achieving personalized, preventive, and participatory medicine is concept a digital twin. A twin personalized computer model patient. So far, twins have been constructed using either mechanistic models, which can simulate trajectory physiological biochemical processes in person, or machine learning example be used to estimate risk having stroke given cross-section profile at timepoint. These two modelling approaches complementary strengths...
Contact tracing is an important tool in managing infectious disease outbreaks and Ireland used a comprehensive contact program to slow the spread of COVID-19. Although benefits seem obvious, it difficult estimate actual impact has on outbreak because hard separate effects from other behavioural changes or interventions. To understand had Ireland, we agent-based model that designed simulate COVID-19 through Ireland. The uses real data first year pandemic. We found without tracing, everything...
Age is one of the most important risk factors when it comes to stroke prediction. However, including age as a factor in prediction model can give rise number difficulties. often dominates score, and also not all contribute proportionally by age. In this study we investigate common factors, using Framingham heart data from NHLBI Biologic Specimen Data Repository Information Coordinating Center determine if they appear score. As find evidence that there some non-proportionality age, then...
While age is an important risk factor, there are some disadvantages to including it in a stroke model: can dominate the score and lead over- or under-predictions groups. There evidence suggest that of these due non-proportionality other factors with age, e.g., contribute differently based on individual’s age. In this paper, we present framework test if proportional We then apply set using Framingham heart study data from NHLBI Biologic Specimen Data Repository Information Coordinating Center...
The dynamics that lead to the spread of an infectious disease through a population can be characterized as complex system. One way model such system, in order improve preparedness, and learn more about how disease, COVID-19, might population, is agent-based epidemiological modelling. When pandemic caused by emerging it takes time develop completely new captures complexity In this paper, we discuss adapting existing for measles Ireland simulate COVID-19. already structure commuting patterns...
This investigation was designed to improve reference information and evaluate the influences of sample distribution age on derived intervals. Specimens from 127 men were collected after a 12- 14-hour fast analyzed by 60 different laboratory procedures. Differences in intervals derived, using three separate statistical methods, appeared be unimportant clinically, but percentile method preferred because it required no assumptions concerning frequency distribution. Relationships between analyte...