Analyzing the Research Evolution in Response to COVID-19
In order to understand how these studies are evolving to respond to COVID-19 and to facilitate the containment of COVID-19, this paper accurately extracted the spatial and topic information from the metadata of papers related to COVID-19 using text mining techniques, and with the extracted informati...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-04-01
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| Series: | ISPRS International Journal of Geo-Information |
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| Online Access: | https://www.mdpi.com/2220-9964/10/4/237 |
| _version_ | 1797538615530618880 |
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| author | Weirong Li Kai Sun Yunqiang Zhu Jia Song Jie Yang Lang Qian Shu Wang |
| author_facet | Weirong Li Kai Sun Yunqiang Zhu Jia Song Jie Yang Lang Qian Shu Wang |
| author_sort | Weirong Li |
| collection | DOAJ |
| description | In order to understand how these studies are evolving to respond to COVID-19 and to facilitate the containment of COVID-19, this paper accurately extracted the spatial and topic information from the metadata of papers related to COVID-19 using text mining techniques, and with the extracted information, the research evolution was analyzed from the temporal, spatial, and topic perspectives. From a temporal view, in the three months after the emergence of COVID-19, the number of published papers showed an obvious growth trend, and it showed a relatively stable cyclical trend in the later period, which is basically consistent with the development of COVID-19. Spatially, most of the authors who participated in related research are concentrated in the United States, China, Italy, the United Kingdom, Spain, India, and France. At the same time, with the continuous spread of COVID-19 in the world, the distribution of the number of authors has gradually expanded, showing to be correlated with the severity of COVID-19 at a spatial scale. From the perspective of topic, the early stage of COVID-19 emergence, the related research mainly focused on the origin and gene identification of the virus. After the emergence of the pandemic, studies related to the diagnosis and analysis of psychological health, personal security, and violent conflict are added. Meanwhile, some categories are most closely related to the control and prevention of the epidemic, such as pathology analysis, diagnosis, and treatment; epidemic situation and coping strategies; and prediction and assessment of epidemic situation. In most time periods, the majority of studies focused on these three categories. |
| first_indexed | 2024-03-10T12:33:55Z |
| format | Article |
| id | doaj.art-7f0f2a3d798a446088d5aff8c37ca735 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T12:33:55Z |
| publishDate | 2021-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-7f0f2a3d798a446088d5aff8c37ca7352023-11-21T14:28:07ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-04-0110423710.3390/ijgi10040237Analyzing the Research Evolution in Response to COVID-19Weirong Li0Kai Sun1Yunqiang Zhu2Jia Song3Jie Yang4Lang Qian5Shu Wang6State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaSchool of Computer Science, South China Normal University, Guangzhou 510000, ChinaState Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, ChinaIn order to understand how these studies are evolving to respond to COVID-19 and to facilitate the containment of COVID-19, this paper accurately extracted the spatial and topic information from the metadata of papers related to COVID-19 using text mining techniques, and with the extracted information, the research evolution was analyzed from the temporal, spatial, and topic perspectives. From a temporal view, in the three months after the emergence of COVID-19, the number of published papers showed an obvious growth trend, and it showed a relatively stable cyclical trend in the later period, which is basically consistent with the development of COVID-19. Spatially, most of the authors who participated in related research are concentrated in the United States, China, Italy, the United Kingdom, Spain, India, and France. At the same time, with the continuous spread of COVID-19 in the world, the distribution of the number of authors has gradually expanded, showing to be correlated with the severity of COVID-19 at a spatial scale. From the perspective of topic, the early stage of COVID-19 emergence, the related research mainly focused on the origin and gene identification of the virus. After the emergence of the pandemic, studies related to the diagnosis and analysis of psychological health, personal security, and violent conflict are added. Meanwhile, some categories are most closely related to the control and prevention of the epidemic, such as pathology analysis, diagnosis, and treatment; epidemic situation and coping strategies; and prediction and assessment of epidemic situation. In most time periods, the majority of studies focused on these three categories.https://www.mdpi.com/2220-9964/10/4/237COVID-19papersresearch evolutioncorrelationtext mining |
| spellingShingle | Weirong Li Kai Sun Yunqiang Zhu Jia Song Jie Yang Lang Qian Shu Wang Analyzing the Research Evolution in Response to COVID-19 ISPRS International Journal of Geo-Information COVID-19 papers research evolution correlation text mining |
| title | Analyzing the Research Evolution in Response to COVID-19 |
| title_full | Analyzing the Research Evolution in Response to COVID-19 |
| title_fullStr | Analyzing the Research Evolution in Response to COVID-19 |
| title_full_unstemmed | Analyzing the Research Evolution in Response to COVID-19 |
| title_short | Analyzing the Research Evolution in Response to COVID-19 |
| title_sort | analyzing the research evolution in response to covid 19 |
| topic | COVID-19 papers research evolution correlation text mining |
| url | https://www.mdpi.com/2220-9964/10/4/237 |
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