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Articles 1 - 8 of 8
Full-Text Articles in Disease Modeling
An Investigation Of Mitigation Measures On The Spread Of Covid-19 In A College Classroom Using Agent-Based Modeling, Saharsh Talwar, Anne E. Yust
An Investigation Of Mitigation Measures On The Spread Of Covid-19 In A College Classroom Using Agent-Based Modeling, Saharsh Talwar, Anne E. Yust
Spora: A Journal of Biomathematics
In this manuscript, we describe the process of using agent-based modeling in NetLogo to create a simulation of COVID-19 spread in a traditional college classroom. The model allows for an evaluation of different preventative measures implemented by the University of Pittsburgh, including the cohort classroom attendance model, mask and vaccine mandates, contact tracing, and classroom sanitation. Through the use of the model's interactive interface, the impact of adjusting specific measures by the institution could be visualized, providing a valuable tool for combating diseases that spread through droplet transmission.
An Odd-Protocol For Agent-Based Model For The Spread Of Covid-19 In Ireland, Elizabeth Hunter, John D. Kelleher
An Odd-Protocol For Agent-Based Model For The Spread Of Covid-19 In Ireland, Elizabeth Hunter, John D. Kelleher
Reports
No abstract provided.
Mathematical Modeling, Analysis, And Simulation Of The Covid-19 Pandemic With Behavioral Patterns And Group Mixing, Comfort Ohajunwa, Padmanabhan Seshaiyer
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 …
Modeling The Spread Of Covid-19 Over Varied Contact Networks, Ryan L. Solorzano
Modeling The Spread Of Covid-19 Over Varied Contact Networks, Ryan L. Solorzano
Master's Theses
When attempting to mitigate the spread of an epidemic without the use of a vaccine, many measures may be made to dampen the spread of the disease such as physically distancing and wearing masks. The implementation of an effective test and quarantine strategy on a population has the potential to make a large impact on the spread of the disease as well. Testing and quarantining strategies become difficult when a portion of the population are asymptomatic spreaders of the disease. Additionally, a study has shown that randomly testing a portion of a population for asymptomatic individuals makes a small impact …
Predictive Modeling And Estimation Of The Doubling Time Of Confirmed Cases Of Covid-19 In Niger, Ibrahim Sidi Zakari, Hadiza Galadima
Predictive Modeling And Estimation Of The Doubling Time Of Confirmed Cases Of Covid-19 In Niger, Ibrahim Sidi Zakari, Hadiza Galadima
Community & Environmental Health Faculty Publications
Modeling is increasingly used to assess scenarios and make projections on the future course of new coronavirus disease. This allows for better planning of care as well as a relaxation or tightening of the restrictive measures decreed by the government and the health authorities. The data analyzed in this study covers the period from March 19 to June 05, 2020 and allowed predictions of new cases of COVID-19 based on a growth model with a growth rate that changes linearly over time. In addition, we calculated and predicted the doubling time of the number of positive cases in each region …
Grouping Algorithms For Informative Array Testing In Disease Surveillance, David Sokolov
Grouping Algorithms For Informative Array Testing In Disease Surveillance, David Sokolov
Graduate Theses, Dissertations, and Problem Reports (ETD)
In order to maintain normal operations and prevent unnecessary morbidity and mortality during times of disease outbreak, institutions find a need to conduct frequent and widespread testing of their constituents, often under significantly limited testing resource constraints. Faced with the challenge of how best to allo- cate these limited resources to maximum effect, institutions are increasingly turning to group (or “pooled”) testing, which involves testing strategically-chosen groups of patient samples rather than individual samples, producing significant testing resource savings under certain regimes of disease prevalence. While group test- ing can be conducted without any a priori knowledge of individual disease …
Great Expectations: Phosph(On)Ate Prodrugs In Drug Design—Opportunities And Limitations, Victoria Yan
Great Expectations: Phosph(On)Ate Prodrugs In Drug Design—Opportunities And Limitations, Victoria Yan
Dissertations and Theses (Open Access)
Phosphate and phosphonates are chemical moieties with historical precedence in anticancer and antiviral nucleotide analogues. Synchronous to modern efforts identifying novel therapeutic targets in cancer, such chemical moieties are being investigated in the design of novel inhibitors with antineoplastic potential. A central challenge to the delivery of phosph(on)ate-containing drugs is their anionic character at physiological pH, which portends poor membrane permeability. This limitation has been successfully overcome through the use of prodrugs. When attached to the phosph(on)ate moiety, prodrugs mask the negative charge and easily enable cell permeability. Upon cellular entry, the promoieties are enzymatically or environmentally cleaved to unveil …
A Mathematical Model For The Effect Of Social Distancing On The Spread Of Covid-19, Anna Singley, Hannah Callender Highlander
A Mathematical Model For The Effect Of Social Distancing On The Spread Of Covid-19, Anna Singley, Hannah Callender Highlander
Spora: A Journal of Biomathematics
Social distancing is an effective method of impeding the spread of a novel disease such as severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), but is dependent on public involvement and is susceptible to failure when sectors of the population fail to participate. A standard SIR model is largely incapable of modeling differences in a population due to the broad generalizations it makes such as uniform mixing and homogeneity of hosts, which results in lost detail and accuracy when modeling heterogeneous populations. By further compartmentalizing an SIR model, via the separation of people within susceptible and infected groups, we can more …