Optimal strategic pandemic control: human mobility and travel restriction
This paper presents a model for finding optimal pandemic control policy considering cross-region human mobility. We extend the baseline susceptible-infectious-recovered (SIR) epidemiology model by including the net human mobility from a severely-impacted region to a mildly-affected region. The strat...
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2021
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oai:doaj.org-article:6bd1adfd50134b4c9dfa81526206839c2021-11-29T06:22:30ZOptimal strategic pandemic control: human mobility and travel restriction10.3934/mbe.20214681551-0018https://doaj.org/article/6bd1adfd50134b4c9dfa81526206839c2021-11-01T00:00:00Zhttps://www.aimspress.com/article/doi/10.3934/mbe.2021468?viewType=HTMLhttps://doaj.org/toc/1551-0018This paper presents a model for finding optimal pandemic control policy considering cross-region human mobility. We extend the baseline susceptible-infectious-recovered (SIR) epidemiology model by including the net human mobility from a severely-impacted region to a mildly-affected region. The strategic optimal mitigation policy combining testing and lockdown in each region is then obtained with the goal of minimizing economic cost under the constraint of limited resources. We parametrize the model using the data of the COVID-19 pandemic and show that the optimal response strategy and mitigation outcome greatly rely on the mitigation duration, available resources, and cross-region human mobility. Furthermore, we discuss the economic impact of travel restriction policies through a quantitative analysis.Wentao HuYufeng ShiCuixia ChenZe ChenAIMS Pressarticlepandemic mitigationhuman mobilitysir modelcovid-19BiotechnologyTP248.13-248.65MathematicsQA1-939ENMathematical Biosciences and Engineering, Vol 18, Iss 6, Pp 9525-9562 (2021) |
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pandemic mitigation human mobility sir model covid-19 Biotechnology TP248.13-248.65 Mathematics QA1-939 |
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pandemic mitigation human mobility sir model covid-19 Biotechnology TP248.13-248.65 Mathematics QA1-939 Wentao Hu Yufeng Shi Cuixia Chen Ze Chen Optimal strategic pandemic control: human mobility and travel restriction |
description |
This paper presents a model for finding optimal pandemic control policy considering cross-region human mobility. We extend the baseline susceptible-infectious-recovered (SIR) epidemiology model by including the net human mobility from a severely-impacted region to a mildly-affected region. The strategic optimal mitigation policy combining testing and lockdown in each region is then obtained with the goal of minimizing economic cost under the constraint of limited resources. We parametrize the model using the data of the COVID-19 pandemic and show that the optimal response strategy and mitigation outcome greatly rely on the mitigation duration, available resources, and cross-region human mobility. Furthermore, we discuss the economic impact of travel restriction policies through a quantitative analysis. |
format |
article |
author |
Wentao Hu Yufeng Shi Cuixia Chen Ze Chen |
author_facet |
Wentao Hu Yufeng Shi Cuixia Chen Ze Chen |
author_sort |
Wentao Hu |
title |
Optimal strategic pandemic control: human mobility and travel restriction |
title_short |
Optimal strategic pandemic control: human mobility and travel restriction |
title_full |
Optimal strategic pandemic control: human mobility and travel restriction |
title_fullStr |
Optimal strategic pandemic control: human mobility and travel restriction |
title_full_unstemmed |
Optimal strategic pandemic control: human mobility and travel restriction |
title_sort |
optimal strategic pandemic control: human mobility and travel restriction |
publisher |
AIMS Press |
publishDate |
2021 |
url |
https://doaj.org/article/6bd1adfd50134b4c9dfa81526206839c |
work_keys_str_mv |
AT wentaohu optimalstrategicpandemiccontrolhumanmobilityandtravelrestriction AT yufengshi optimalstrategicpandemiccontrolhumanmobilityandtravelrestriction AT cuixiachen optimalstrategicpandemiccontrolhumanmobilityandtravelrestriction AT zechen optimalstrategicpandemiccontrolhumanmobilityandtravelrestriction |
_version_ |
1718407590133628928 |