Use of Social Media for the Detection and Analysis of Infectious Diseases in China
Social media activity has become an important component of daily life for many people. Messages from Twitter (US) and Weibo (China) have shown their potential as important data sources for detecting and analyzing infectious diseases. Such emerging and dynamic new data sources allow us to predict how...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-08-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | http://www.mdpi.com/2220-9964/5/9/156 |
| _version_ | 1818023176603435008 |
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| author | Xinyue Ye Shengwen Li Xining Yang Chenglin Qin |
| author_facet | Xinyue Ye Shengwen Li Xining Yang Chenglin Qin |
| author_sort | Xinyue Ye |
| collection | DOAJ |
| description | Social media activity has become an important component of daily life for many people. Messages from Twitter (US) and Weibo (China) have shown their potential as important data sources for detecting and analyzing infectious diseases. Such emerging and dynamic new data sources allow us to predict how infectious diseases develop and evolve both spatially and temporally. We report the dynamics of dengue fever in China using messages from Weibo. We first extract and construct a list of keywords related to dengue fever in order to analyze how frequently these words appear in Weibo messages based on the Latent Dirichlet Allocation (LDA). Spatial analysis is then applied to detect how dengue fever cases cluster spatially and spread over time. |
| first_indexed | 2024-12-10T03:40:10Z |
| format | Article |
| id | doaj.art-ca32f17542ab4c16848959a77a5b65df |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-12-10T03:40:10Z |
| publishDate | 2016-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-ca32f17542ab4c16848959a77a5b65df2022-12-22T02:03:37ZengMDPI AGISPRS International Journal of Geo-Information2220-99642016-08-015915610.3390/ijgi5090156ijgi5090156Use of Social Media for the Detection and Analysis of Infectious Diseases in ChinaXinyue Ye0Shengwen Li1Xining Yang2Chenglin Qin3Department of Geography, Kent State University, Kent, OH 44240, USASchool of Information Engineering, China University of Geosciences, Wuhan 430074, ChinaDepartment of Geography and Geology, Eastern Michigan University, Ypsilanti, MI 48197, USASchool of Economics, Jinan University, Guangzhou 510632, ChinaSocial media activity has become an important component of daily life for many people. Messages from Twitter (US) and Weibo (China) have shown their potential as important data sources for detecting and analyzing infectious diseases. Such emerging and dynamic new data sources allow us to predict how infectious diseases develop and evolve both spatially and temporally. We report the dynamics of dengue fever in China using messages from Weibo. We first extract and construct a list of keywords related to dengue fever in order to analyze how frequently these words appear in Weibo messages based on the Latent Dirichlet Allocation (LDA). Spatial analysis is then applied to detect how dengue fever cases cluster spatially and spread over time.http://www.mdpi.com/2220-9964/5/9/156social mediainfectious diseasespacetimeChina |
| spellingShingle | Xinyue Ye Shengwen Li Xining Yang Chenglin Qin Use of Social Media for the Detection and Analysis of Infectious Diseases in China ISPRS International Journal of Geo-Information social media infectious disease space time China |
| title | Use of Social Media for the Detection and Analysis of Infectious Diseases in China |
| title_full | Use of Social Media for the Detection and Analysis of Infectious Diseases in China |
| title_fullStr | Use of Social Media for the Detection and Analysis of Infectious Diseases in China |
| title_full_unstemmed | Use of Social Media for the Detection and Analysis of Infectious Diseases in China |
| title_short | Use of Social Media for the Detection and Analysis of Infectious Diseases in China |
| title_sort | use of social media for the detection and analysis of infectious diseases in china |
| topic | social media infectious disease space time China |
| url | http://www.mdpi.com/2220-9964/5/9/156 |
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