Visual analytics of urban epidemic situation development and dynamic regulation
In order to solve the reasonable allocation of limited medical resources for patients, a visual platform for dynamic control of cabin hospital was built based on the dataset of the COVID-19 epidemic in Wuhan cabin hospital, which integrates multi-source data such as public opinion, space-time trajec...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
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China InfoCom Media Group
2023-11-01
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| Series: | 大数据 |
| Subjects: | |
| Online Access: | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2023027 |
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| _version_ | 1850212913004937216 |
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| author | Song WANG Shijie CHEN Hanglin LI Xiaohui LI Qiongfang FENG Huijie WANG |
| author_facet | Song WANG Shijie CHEN Hanglin LI Xiaohui LI Qiongfang FENG Huijie WANG |
| author_sort | Song WANG |
| collection | DOAJ |
| description | In order to solve the reasonable allocation of limited medical resources for patients, a visual platform for dynamic control of cabin hospital was built based on the dataset of the COVID-19 epidemic in Wuhan cabin hospital, which integrates multi-source data such as public opinion, space-time trajectory and science popularization.The droppingwater diagram was introduced to dynamically monitor the overall situation of the cabin hospital.The theme model and sentiment dictionary were used to extract the emotional features of the masses, the WordStream were used to visually present the trend of urban public opinion.The path planning algorithm based on hospital load capacity were built for treatment route, the population-oriented science information of access to cabin hospital and the urban recovery model can enhance anti-epidemic confidence.The system is helpful to realize the reasonable allocation of human and material resources, timely guide the emotional trend of the masses, pay attention to the change of public opinion after the release of new polices/decisions, and slow down the phenomenon of patients gathering.The function and effectiveness of the system was verified by the analysis of several cases. |
| format | Article |
| id | doaj-art-a11a9a0868df4515903f9eba949ffa40 |
| institution | OA Journals |
| issn | 2096-0271 |
| language | zho |
| publishDate | 2023-11-01 |
| publisher | China InfoCom Media Group |
| record_format | Article |
| series | 大数据 |
| spelling | doaj-art-a11a9a0868df4515903f9eba949ffa402025-08-20T02:09:14ZzhoChina InfoCom Media Group大数据2096-02712023-11-01911012359545055Visual analytics of urban epidemic situation development and dynamic regulationSong WANGShijie CHENHanglin LIXiaohui LIQiongfang FENGHuijie WANGIn order to solve the reasonable allocation of limited medical resources for patients, a visual platform for dynamic control of cabin hospital was built based on the dataset of the COVID-19 epidemic in Wuhan cabin hospital, which integrates multi-source data such as public opinion, space-time trajectory and science popularization.The droppingwater diagram was introduced to dynamically monitor the overall situation of the cabin hospital.The theme model and sentiment dictionary were used to extract the emotional features of the masses, the WordStream were used to visually present the trend of urban public opinion.The path planning algorithm based on hospital load capacity were built for treatment route, the population-oriented science information of access to cabin hospital and the urban recovery model can enhance anti-epidemic confidence.The system is helpful to realize the reasonable allocation of human and material resources, timely guide the emotional trend of the masses, pay attention to the change of public opinion after the release of new polices/decisions, and slow down the phenomenon of patients gathering.The function and effectiveness of the system was verified by the analysis of several cases.http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2023027dynamic regulation;city public opinion development;route planning |
| spellingShingle | Song WANG Shijie CHEN Hanglin LI Xiaohui LI Qiongfang FENG Huijie WANG Visual analytics of urban epidemic situation development and dynamic regulation 大数据 dynamic regulation;city public opinion development;route planning |
| title | Visual analytics of urban epidemic situation development and dynamic regulation |
| title_full | Visual analytics of urban epidemic situation development and dynamic regulation |
| title_fullStr | Visual analytics of urban epidemic situation development and dynamic regulation |
| title_full_unstemmed | Visual analytics of urban epidemic situation development and dynamic regulation |
| title_short | Visual analytics of urban epidemic situation development and dynamic regulation |
| title_sort | visual analytics of urban epidemic situation development and dynamic regulation |
| topic | dynamic regulation;city public opinion development;route planning |
| url | http://www.j-bigdataresearch.com.cn/thesisDetails#10.11959/j.issn.2096-0271.2023027 |
| work_keys_str_mv | AT songwang visualanalyticsofurbanepidemicsituationdevelopmentanddynamicregulation AT shijiechen visualanalyticsofurbanepidemicsituationdevelopmentanddynamicregulation AT hanglinli visualanalyticsofurbanepidemicsituationdevelopmentanddynamicregulation AT xiaohuili visualanalyticsofurbanepidemicsituationdevelopmentanddynamicregulation AT qiongfangfeng visualanalyticsofurbanepidemicsituationdevelopmentanddynamicregulation AT huijiewang visualanalyticsofurbanepidemicsituationdevelopmentanddynamicregulation |