{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,26]],"date-time":"2026-09-26T08:25:40Z","timestamp":1790411140968,"version":"4.1.0"},"reference-count":43,"publisher":"MDPI AG","issue":"9","license":[{"start":{"date-parts":[[2016,8,30]],"date-time":"2016-08-30T00:00:00Z","timestamp":1472515200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IJGI"],"abstract":"<jats:p>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.<\/jats:p>","DOI":"10.3390\/ijgi5090156","type":"journal-article","created":{"date-parts":[[2016,8,30]],"date-time":"2016-08-30T09:56:03Z","timestamp":1472550963000},"page":"156","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":78,"title":["Use of Social Media for the Detection and Analysis of Infectious Diseases in China"],"prefix":"10.3390","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-8838-9476","authenticated-orcid":false,"given":"Xinyue","family":"Ye","sequence":"first","affiliation":[{"name":"Department of Geography, Kent State University, Kent, OH 44240, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1829-4006","authenticated-orcid":false,"given":"Shengwen","family":"Li","sequence":"additional","affiliation":[{"name":"School of Information Engineering, China University of Geosciences, Wuhan 430074, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xining","family":"Yang","sequence":"additional","affiliation":[{"name":"Department of Geography and Geology, Eastern Michigan University, Ypsilanti, MI 48197, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenglin","family":"Qin","sequence":"additional","affiliation":[{"name":"School of Economics, Jinan University, Guangzhou 510632, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2016,8,30]]},"reference":[{"key":"ref_1","unstructured":"Dengue and Severe Dengue. Available online: http:\/\/www.who.int\/mediacentre\/factsheets\/fs117\/en\/."},{"key":"ref_2","doi-asserted-by":"crossref","unstructured":"Hay, S.I., George, D.B., Moyes, C.L., and Brownstein, J.S. (2013). Big data opportunities for global infectious disease surveillance. PLoS Med., 10.","DOI":"10.1371\/journal.pmed.1001413"},{"key":"ref_3","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1038\/nature07634","article-title":"Detecting influenza epidemics using search engine query data","volume":"457","author":"Ginsberg","year":"2009","journal-title":"Nature"},{"key":"ref_4","first-page":"103","article-title":"Synthesizing population, health, and place","volume":"7","author":"Raubal","year":"2013","journal-title":"J. Spat. Inf. Sci."},{"key":"ref_5","doi-asserted-by":"crossref","first-page":"1390","DOI":"10.1126\/science.1232257","article-title":"Spatial turn in health research","volume":"339","author":"Richardson","year":"2013","journal-title":"Science"},{"key":"ref_6","first-page":"96","article-title":"Earthquake reporting system development by tweet analysis","volume":"2","author":"Anand","year":"2014","journal-title":"Int. J. Emerg. Eng. Res. Technol."},{"key":"ref_7","unstructured":"MacEachren, A.M., Robinson, A.C., Jaiswal, A., Pezanowski, S., Savelyev, A., Blanford, J., and Mitra, P. (2011, January 3\u20138). Geo-Twitter analytics: Applications in crisis management. Proceedings of the 25th International Cartographic Conference, Paris, France."},{"key":"ref_8","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1080\/15230406.2013.776210","article-title":"What are we \u201ctweeting\u201d about obesity? Mapping tweets with topic modeling and geographic information system","volume":"40","author":"Ghosh","year":"2013","journal-title":"Cartogr. Geogr. Inf. Sci."},{"key":"ref_9","doi-asserted-by":"crossref","unstructured":"Qu, Y., Huang, C., Zhang, P., and Zhang, J. (2011, January 19\u201323). Microblogging after a major disaster in China. Proceedings of the ACM 2011 Conference on Computer Supported Cooperative Work, Hangzhou, China.","DOI":"10.1145\/1958824.1958830"},{"key":"ref_10","doi-asserted-by":"crossref","first-page":"919","DOI":"10.1109\/TKDE.2012.29","article-title":"Tweet analysis for real-time event detection and earthquake reporting system development","volume":"25","author":"Sakaki","year":"2013","journal-title":"IEEE Trans. Knowl. Data Eng."},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"189","DOI":"10.1016\/j.apgeog.2014.07.017","article-title":"Using geolocated Twitter data to monitor the prevalence of healthy and unhealthy food references across the US","volume":"54","author":"Widener","year":"2014","journal-title":"Appl. Geogr."},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"82","DOI":"10.1016\/j.apgeog.2014.04.003","article-title":"Does food environment influence food choices? A geographical analysis through \u201ctweets\u201d","volume":"51","author":"Chen","year":"2014","journal-title":"Appl. Geogr."},{"key":"ref_13","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1016\/j.healthpol.2013.02.005","article-title":"Twitter and the health reforms in the English National Health Service","volume":"110","author":"King","year":"2013","journal-title":"Health Policy"},{"key":"ref_14","doi-asserted-by":"crossref","first-page":"181","DOI":"10.1016\/S0065-308X(05)62006-4","article-title":"The global distribution of yellow fever and dengue","volume":"62","author":"Rogers","year":"2006","journal-title":"Adv. Parasitol."},{"key":"ref_15","doi-asserted-by":"crossref","unstructured":"Brownstein, J.S., Freifeld, C.C., Reis, B.Y., and Mandl, K.D. (2008). Surveillance Sans Fronti\u00e8res: Internet-based emerging infectious disease intelligence and the health map project. PLoS Med., 5.","DOI":"10.1371\/journal.pmed.0050151"},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"D36","DOI":"10.1093\/nar\/gks1195","article-title":"GenBank","volume":"41","author":"Benson","year":"2013","journal-title":"Nucleic Acids Res."},{"key":"ref_17","doi-asserted-by":"crossref","unstructured":"Brady, O.J., Gething, P.W., Bhatt, S., Messina, J.P., Brownstein, J.S., Hoen, A.G., Moyes, C.L., Farlow, A.W., Scott, T.W., and Hay, S.I. (2012). Refining the global spatial limits of dengue virus transmission by evidence-based consensus. PLoS Negl. Trop. Dis., 6.","DOI":"10.1371\/journal.pntd.0001760"},{"key":"ref_18","doi-asserted-by":"crossref","unstructured":"Messina, J.P., Brady, O.J., Pigott, D.M., Brownstein, J.S., Hoen, A.G., and Hay, S.I. (2014). A global compendium of human dengue virus occurrence. Sci. Data, 1.","DOI":"10.1038\/sdata.2014.4"},{"key":"ref_19","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1016\/S1473-3099(13)70244-5","article-title":"Internet-based surveillance systems for monitoring emerging infectious diseases","volume":"14","author":"Milinovich","year":"2014","journal-title":"Lancet Infect. Dis."},{"key":"ref_20","doi-asserted-by":"crossref","unstructured":"Achrekar, H., Gandhe, A., Lazarus, R., Yu, S.-H., and Liu, B. (2011, January 10\u201315). Predicting flu trends using Twitter data. Proceedings of the 2011 IEEE Conference on Computer Communications Workshops, Shanghai, China.","DOI":"10.1109\/INFCOMW.2011.5928903"},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"153","DOI":"10.1016\/j.artmed.2014.01.002","article-title":"Twitter mining for fine-grained syndromic surveillance","volume":"61","author":"Velardi","year":"2014","journal-title":"Artif. Intell. Med."},{"key":"ref_22","doi-asserted-by":"crossref","first-page":"2253","DOI":"10.1002\/cpe.3287","article-title":"FluMapper: A cyberGIS application for interactive analysis of massive location-based social media","volume":"26","author":"Padmanabhan","year":"2014","journal-title":"Concurr. Comput. Pract. Exp."},{"key":"ref_23","unstructured":"Wang, S., Paul, M., and Dredze, M. (2014, January 27\u201331). Exploring health topics in Chinese social media: An analysis of Sina Weibo. Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, Qu\u00e9bec City, QC, Canada."},{"key":"ref_24","doi-asserted-by":"crossref","unstructured":"Aslam, A.A., Tsou, M., Spitzberg, H.B., An, L., Gawron, J.M., Gupta, D.K., Peddecord, K.M., Nagel, A.C., Allen, C., and Yang, J.A. (2014). The reliability of tweets as a supplementary method of seasonal influenza surveillance. J. Med. Internet Res.","DOI":"10.2196\/jmir.3532"},{"key":"ref_25","first-page":"993","article-title":"Latent Dirichlet allocation","volume":"3","author":"Blei","year":"2003","journal-title":"J. Mach. Learn. Res."},{"key":"ref_26","doi-asserted-by":"crossref","unstructured":"Krestel, R., Fankhauser, P., and Nejdl, W. (2009, January 23\u201325). Latent dirichlet allocation for tag recommendation. Proceedings of the Third ACM Conference on Recommender Systems, New York, NY, USA.","DOI":"10.1145\/1639714.1639726"},{"key":"ref_27","doi-asserted-by":"crossref","first-page":"28","DOI":"10.1109\/LGRS.2009.2023536","article-title":"Semantic annotation of satellite images using latent Dirichlet allocation","volume":"7","author":"Lienou","year":"2010","journal-title":"IEEE Geosci. Remote Sens. Lett."},{"key":"ref_28","doi-asserted-by":"crossref","unstructured":"Porteous, I., Newman, D., Ihler, A., Asuncion, A., Smyth, P., and Welling, M. (2008, January 24\u201327). Fast collapsed gibbs sampling for latent dirichlet allocation. Proceeding of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Las Vegas, NV, USA.","DOI":"10.1145\/1401890.1401960"},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"1063","DOI":"10.1126\/science.346.6213.1063","article-title":"Social media for large studies of behavior","volume":"346","author":"Ruths","year":"2014","journal-title":"Science"},{"key":"ref_30","doi-asserted-by":"crossref","first-page":"35","DOI":"10.1115\/1.3662552","article-title":"A new approach to linear filtering and prediction problems","volume":"82","author":"Kalman","year":"1960","journal-title":"J. Basic Eng."},{"key":"ref_31","unstructured":"Chinese Center for Disease Control and Prevention Dengue and Severe Dengue. (In Chinese)."},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"68","DOI":"10.4103\/0019-5154.60357","article-title":"Dengue viral infections","volume":"55","author":"Seneviratne","year":"2010","journal-title":"Indian J. Dermatol."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"971","DOI":"10.1016\/S0140-6736(97)12483-7","article-title":"Dengue and dengue haemorrhagic fever","volume":"352","author":"Clark","year":"1998","journal-title":"Lancet"},{"key":"ref_34","doi-asserted-by":"crossref","unstructured":"Ye, X., and Lee, J. Integrating Geographic Activity Space and Social Network Space to Promote Healthy Lifestyles. ACMSIGSPATIAL Health GIS. Available online: http:\/\/www.sigspatial.org\/sigspatial-special-issues\/sigspatial-special-volume-8-number-1-march-2016\/Paper3.pdf.","DOI":"10.1145\/2961028.2961033"},{"key":"ref_35","doi-asserted-by":"crossref","unstructured":"Wang, Z., Ye, X., and Tsou, M. (2016). Spatial, temporal, and content analysis of Twitter for wildfire hazards. Nat. Hazards.","DOI":"10.1007\/s11069-016-2329-6"},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Li, S., Ye, X., Lee, J., Gong, J., and Qin, C. (2016). Spatiotemporal analysis of housing prices in China: A big data perspective. Appl. Spat. Anal. Policy.","DOI":"10.1007\/s12061-016-9185-3"},{"key":"ref_37","doi-asserted-by":"crossref","first-page":"467","DOI":"10.3390\/su8050467","article-title":"Environmental regulation, economic network and sustainable growth of urban agglomerations in China","volume":"8","author":"Chong","year":"2016","journal-title":"Sustainability"},{"key":"ref_38","doi-asserted-by":"crossref","first-page":"78","DOI":"10.3390\/ijgi5060078","article-title":"Analyzing urban human mobility patterns through thematic model at the finer scale","volume":"5","author":"Zhang","year":"2016","journal-title":"ISPRS Int. J. Geo-Inf."},{"key":"ref_39","doi-asserted-by":"crossref","first-page":"1687","DOI":"10.1080\/13658816.2016.1164317","article-title":"Human dynamics in the mobile and big data era","volume":"30","author":"Shaw","year":"2016","journal-title":"Int. J. Geogr. Inf. Sci."},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"61","DOI":"10.4018\/IJAGR.2016040105","article-title":"We know where you are: In space and place-enriching the geographical context through social media","volume":"7","author":"Yang","year":"2016","journal-title":"Int. J. Appl. Geospat. Res."},{"key":"ref_41","doi-asserted-by":"crossref","first-page":"25","DOI":"10.3390\/su8010025","article-title":"Using social media for emergency response and urban sustainability: A case study of the 2012 Beijing rainstorm","volume":"8","author":"Wang","year":"2016","journal-title":"Sustainability"},{"key":"ref_42","doi-asserted-by":"crossref","unstructured":"Zhao, H., Lee, J., Ye, X., and Tyner, J. (2016). Spatiotemporal analyses of religious establishments in coastal China. GeoJournal.","DOI":"10.1007\/s10708-016-9726-y"},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"160","DOI":"10.1109\/TVCG.2015.2467771","article-title":"TrajGraph: A graph-based visual analytics approach to studying urban network centralities using taxi trajectory data","volume":"22","author":"Huang","year":"2016","journal-title":"IEEE Trans. Vis. Comput. Graph."}],"container-title":["ISPRS International Journal of Geo-Information"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2220-9964\/5\/9\/156\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T19:29:31Z","timestamp":1760210971000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2220-9964\/5\/9\/156"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,8,30]]},"references-count":43,"journal-issue":{"issue":"9","published-online":{"date-parts":[[2016,9]]}},"alternative-id":["ijgi5090156"],"URL":"https:\/\/doi.org\/10.3390\/ijgi5090156","relation":{},"ISSN":["2220-9964"],"issn-type":[{"value":"2220-9964","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,8,30]]}}}