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Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning
OBJECTIVES: We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations. MATERIALS AND METHODS: Our simulator sim...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928848/ https://www.ncbi.nlm.nih.gov/pubmed/34505002 http://dx.doi.org/10.1093/jamiaopen/ooaa074 |
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author | Peng, Bo Pettit, Rowland W Amos, Christopher I |
author_facet | Peng, Bo Pettit, Rowland W Amos, Christopher I |
author_sort | Peng, Bo |
collection | PubMed |
description | OBJECTIVES: We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations. MATERIALS AND METHODS: Our simulator simulates the entire course of infection and transmission of the virus among individuals in heterogeneous populations, subject to operations and influences, such as quarantine, testing, social distancing, and community infection. It provides command-line and Jupyter notebook interfaces and a plugin system for user-defined operations. RESULTS: The simulator provides quantitative estimates for COVID-19 outbreaks in a variety of scenarios and assists the development of public health policies, risk-reduction operations, and emergency response plans. DISCUSSION: Our simulator is powerful, flexible, and customizable, although successful applications require realistic estimation and robustness analysis of population-specific parameters. CONCLUSION: Risk assessment and continuity planning for COVID-19 outbreaks are crucial for the continued operation of many organizations. Our simulator will be continuously expanded to meet this need. |
format | Online Article Text |
id | pubmed-7928848 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-79288482021-03-04 Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning Peng, Bo Pettit, Rowland W Amos, Christopher I JAMIA Open Application Notes OBJECTIVES: We developed COVID-19 Outbreak Simulator (https://ictr.github.io/covid19-outbreak-simulator/) to quantitatively estimate the effectiveness of preventative and interventive measures to prevent and battle COVID-19 outbreaks for specific populations. MATERIALS AND METHODS: Our simulator simulates the entire course of infection and transmission of the virus among individuals in heterogeneous populations, subject to operations and influences, such as quarantine, testing, social distancing, and community infection. It provides command-line and Jupyter notebook interfaces and a plugin system for user-defined operations. RESULTS: The simulator provides quantitative estimates for COVID-19 outbreaks in a variety of scenarios and assists the development of public health policies, risk-reduction operations, and emergency response plans. DISCUSSION: Our simulator is powerful, flexible, and customizable, although successful applications require realistic estimation and robustness analysis of population-specific parameters. CONCLUSION: Risk assessment and continuity planning for COVID-19 outbreaks are crucial for the continued operation of many organizations. Our simulator will be continuously expanded to meet this need. Oxford University Press 2021-01-24 /pmc/articles/PMC7928848/ /pubmed/34505002 http://dx.doi.org/10.1093/jamiaopen/ooaa074 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the American Medical Informatics Association. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com |
spellingShingle | Application Notes Peng, Bo Pettit, Rowland W Amos, Christopher I Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning |
title | Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning |
title_full | Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning |
title_fullStr | Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning |
title_full_unstemmed | Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning |
title_short | Population simulations of COVID-19 outbreaks provide tools for risk assessment and continuity planning |
title_sort | population simulations of covid-19 outbreaks provide tools for risk assessment and continuity planning |
topic | Application Notes |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7928848/ https://www.ncbi.nlm.nih.gov/pubmed/34505002 http://dx.doi.org/10.1093/jamiaopen/ooaa074 |
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