Simulating COVID-19 containment measures using the South Korean patient data: poster abstract
Pages 782 - 783
Abstract
As the COVID-19 outbreak evolves around the world, the World Health Organization (WHO) and its Member States have been heavily relying on staying at home and lock down measures to control the spread of the virus. In last months, various signs showed that the COVID-19 curve was flattening, but the premature lifting of some containment measures (e.g., school closures and telecommuting) are favouring a second wave of the disease. The accurate evaluation of possible countermeasures and their well-timed revocation are therefore crucial to avoid future waves or reduce their duration. In this paper, we analyze patient and route data collected by the Korea Centers for Disease Control & Prevention (KCDC). We extract information from real-world data sets and use them to parameterize simulations and evaluate different what-if scenarios.
References
[1]
Andrew Crooks and Atesmachew Hailegiorgis. 2014. An agent-based modeling approach applied to the spread of cholera. Environmental Modelling & Software 62 (2014), 164--177.
[2]
Jihoo Kim and JoongKun Lee. 2020. Data Science for COVID-19 (DS4C). https://www.kaggle.com/kimjihoo/coronavirusdataset. [Accessed on 2020-09-25].
[3]
Keith Sullivan, Mark Coletti, and Sean Luke. 2010. GeoMason: Geospatial support for MASON. Technical Report. Department of Computer Science, George Mason University.
Index Terms
- Simulating COVID-19 containment measures using the South Korean patient data: poster abstract
Recommendations
Elementary effects analysis of factors controlling COVID-19 infections in computational simulation reveals the importance of social distancing and mask usage
AbstractCOVID-19 was declared a pandemic by the World Health Organisation (WHO) on March 11th, 2020. With half of the world's countries in lockdown as of April due to this pandemic, monitoring and understanding the spread of the virus and ...
Highlights- Agent-based simulation for COVID-19 shows the importance of various NPI's.
- ...
Telehealth utilization during the Covid-19 pandemic: A systematic review
AbstractDuring the coronavirus disease (COVID-19) pandemic, different technologies, including telehealth, are maximised to mitigate the risks and consequences of the disease. Telehealth has been widely utilised because of its usability and safety in ...
Highlights- State-of-the-art Literature Categorization for Telehealth utilization during COVID-19.
- Challenges, motivations and recommended solutions are identified for Telehealth during COVID-19.
- Different Applications of Telehealth during the ...
Forecasting fully vaccinated people against COVID-19 and examining future vaccination rate for herd immunity in the US, Asia, Europe, Africa, South America, and the World
AbstractCoronavirus disease 2019 (COVID-2019) has spread rapidly all over the world and it is known that the most effective way to eliminate the disease is vaccination. Although the traditional vaccine development process is quite long, more ...
Comments
Information & Contributors
Information
Published In
November 2020
852 pages
ISBN:9781450375900
DOI:10.1145/3384419
Copyright © 2020 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
Sponsors
- SIGMETRICS: ACM Special Interest Group on Measurement and Evaluation
- SIGCOMM: ACM Special Interest Group on Data Communication
- SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing
- SIGOPS: ACM Special Interest Group on Operating Systems
- SIGBED: ACM Special Interest Group on Embedded Systems
- SIGARCH: ACM Special Interest Group on Computer Architecture
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 16 November 2020
Check for updates
Author Tags
Qualifiers
- Poster
Funding Sources
- NSF
Conference
SenSys '20: The 18th ACM Conference on Embedded Networked Sensor Systems
November 16 - 19, 2020
Virtual Event, Japan
Acceptance Rates
Overall Acceptance Rate 174 of 867 submissions, 20%
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 189Total Downloads
- Downloads (Last 12 months)46
- Downloads (Last 6 weeks)7
Reflects downloads up to 01 Jan 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in