A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China
It is a global issue to set up a practical, sensitive, and useful model to eradicate or mitigate the coronavirus disease 2019 (COVID-19). Taking Central China’s Hubei Province for example, three models were established. Firstly, a susceptible-probable-infectious-recovered (SPIR) model was proposed t...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2022-01-01
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| Series: | Discrete Dynamics in Nature and Society |
| Online Access: | http://dx.doi.org/10.1155/2022/6329601 |
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| _version_ | 1850175526966132736 |
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| author | Xiaocheng Li Zhaoli Liu Fangzhen Ge |
| author_facet | Xiaocheng Li Zhaoli Liu Fangzhen Ge |
| author_sort | Xiaocheng Li |
| collection | DOAJ |
| description | It is a global issue to set up a practical, sensitive, and useful model to eradicate or mitigate the coronavirus disease 2019 (COVID-19). Taking Central China’s Hubei Province for example, three models were established. Firstly, a susceptible-probable-infectious-recovered (SPIR) model was proposed to predict the monthly number of confirmed and susceptible cases in each city. Next, an epidemic prefecture clustering model was set up to find proper vaccine delivery sites, according to the distance of each city. Finally, a dynamic material delivery optimization model was established for multiple epidemic prefectures, aiming to speed up vaccine production and storage in each delivery site. |
| format | Article |
| id | doaj-art-bfde534b5f084f9e8972e40fc482526a |
| institution | OA Journals |
| issn | 1607-887X |
| language | English |
| publishDate | 2022-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | Discrete Dynamics in Nature and Society |
| spelling | doaj-art-bfde534b5f084f9e8972e40fc482526a2025-08-20T02:19:26ZengWileyDiscrete Dynamics in Nature and Society1607-887X2022-01-01202210.1155/2022/6329601A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in ChinaXiaocheng Li0Zhaoli Liu1Fangzhen Ge2School of Mathematical SciencesSchool of Mathematical SciencesSchool of Computer Science and TechnologyIt is a global issue to set up a practical, sensitive, and useful model to eradicate or mitigate the coronavirus disease 2019 (COVID-19). Taking Central China’s Hubei Province for example, three models were established. Firstly, a susceptible-probable-infectious-recovered (SPIR) model was proposed to predict the monthly number of confirmed and susceptible cases in each city. Next, an epidemic prefecture clustering model was set up to find proper vaccine delivery sites, according to the distance of each city. Finally, a dynamic material delivery optimization model was established for multiple epidemic prefectures, aiming to speed up vaccine production and storage in each delivery site.http://dx.doi.org/10.1155/2022/6329601 |
| spellingShingle | Xiaocheng Li Zhaoli Liu Fangzhen Ge A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China Discrete Dynamics in Nature and Society |
| title | A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China |
| title_full | A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China |
| title_fullStr | A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China |
| title_full_unstemmed | A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China |
| title_short | A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China |
| title_sort | multiobjective optimization model for prevention and control of coronavirus disease 2019 in china |
| url | http://dx.doi.org/10.1155/2022/6329601 |
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