Submission information
Submission Number: 40
Submission ID: 66
Submission UUID: 0e78c529-edf4-4726-9ad9-a40cde5eeb27
Submission URI: /form/project
Created: Thu, 06/11/2020 - 16:39
Completed: Thu, 06/11/2020 - 16:46
Changed: Tue, 04/27/2021 - 13:05
Remote IP address: 96.252.12.25
Submitted by: Jane Molofsky
Language: English
Is draft: No
Webform: Project
| Project Title | Using Agent Based Models on small world networks to understand disease transmission |
|---|---|
| Program | Northeast |
| Project Leader | Jane Molofsky |
| jane.molofsky@uvm.edu | |
| Mobile Phone | 802-363-7664 |
| Work Phone | |
| Mentor(s) | Keri Toksu |
| Student-facilitator(s) | Nicole Tiao |
| Mentee(s) | |
| Project Description | We would like to model the spread of the SARS COVID-19 virus on a college campus by using an Agent Based Model in a small world network. We began this project during the NET-COVID online meeting hosted by the University of Vermont Complex Systems Center and the University Maryland COMBINE program. The results of this work is currently in review at PLOSONE and archived at http://arxiv.org/abs/2005.09751 --- We investigate how three social distance remediation measures work alone (1. Top down social distancing imposed on the entire population,2) self-isolation following contact with an infected individual and 3) viral shedding remediated through mask wearing) and interact with each other to control the epidemic of COVID-19. Our results show that there is a threshold effect. When social distancing measures are at or above 75%, the viral infection rate is very low. If social distancing measures are between 60-75%, self-isolation of exposed individuals following contact with an infected person can also keep viral outbreaks small. Finally, the adoption of mask wearing by large numbers of the populations can contain the outbreak if social distancing is kept at levels of around 60%. |
| Project Deliverables | The project deliverables are a working agent based model built on a small world network that we can use to make a large number of experimental runs quickly and efficiently. |
| Project Deliverables | |
| Student Research Computing Facilitator Profile | We would like an experienced programmer who has a facility in building network models. We are looking for an experienced programmer who can take our existing model and translate it into a programming language that can do batch runs more efficiently and quickly and we are looking to add features to the program such as examining the behavior of the agents in a metapopulation context. |
| Mentee Research Computing Profile | |
| Student Facilitator Programming Skill Level | Practical applications |
| Mentee Programming Skill Level | |
| Project Institution | University of Vermont, work will be remote |
| Project Address | |
| Anchor Institution | NE-University of Vermont |
| Preferred Start Date | 06/15/2020 |
| Start as soon as possible. | No |
| Project Urgency | Already behind3Start date is flexible |
| Expected Project Duration (in months) | |
| Launch Presentation | |
| Launch Presentation Date | |
| Wrap Presentation | |
| Wrap Presentation Date | |
| Project Milestones | |
| Github Contributions | |
| Planned Portal Contributions (if any) | |
| Planned Publications (if any) | |
| What will the student learn? | The student will learn more about the theory behind small world networks and their behavior. They will learn how to collaborate as part of a team. They will increase their knowledge of programming agent based models on networks. |
| What will the mentee learn? | |
| What will the Cyberteam program learn from this project? | |
| HPC resources needed to complete this project? | |
| Notes | We are looking for an experienced programmer who can take our existing model and translate it into a programming language that can do batch runs more efficiently and quickly and we are looking to add features to the program such as examining the behavior of the agents in a metapopulation context. |
| What is the impact on the development of the principal discipline(s) of the project? | |
| What is the impact on other disciplines? | |
| Is there an impact physical resources that form infrastructure? | |
| Is there an impact on the development of human resources for research computing? | |
| Is there an impact on institutional resources that form infrastructure? | |
| Is there an impact on information resources that form infrastructure? | |
| Is there an impact on technology transfer? | |
| Is there an impact on society beyond science and technology? | |
| Lessons Learned | |
| Overall results |