{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,8]],"date-time":"2026-04-08T02:46:30Z","timestamp":1775616390369,"version":"3.50.1"},"reference-count":70,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2019,1,5]],"date-time":"2019-01-05T00:00:00Z","timestamp":1546646400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Inf Syst Front"],"published-print":{"date-parts":[[2019,8]]},"DOI":"10.1007\/s10796-018-9893-0","type":"journal-article","created":{"date-parts":[[2019,1,5]],"date-time":"2019-01-05T07:54:22Z","timestamp":1546674862000},"page":"743-760","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":62,"title":["Social Media for Nowcasting Flu Activity: Spatio-Temporal Big Data Analysis"],"prefix":"10.1007","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-3171-5629","authenticated-orcid":false,"given":"Amir","family":"Hassan Zadeh","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hamed M.","family":"Zolbanin","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ramesh","family":"Sharda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dursun","family":"Delen","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2019,1,5]]},"reference":[{"key":"9893_CR1","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jbi.2016.05.005","volume":"62","author":"MA Al-garadi","year":"2016","unstructured":"Al-garadi, M. A., Khan, M. S., Varathan, K. D., Mujtaba, G., & Al-Kabsi, A. M. (2016). Using online social networks to track a pandemic: a systematic review. Journal of Biomedical Informatics, 62, 1\u201311.","journal-title":"Journal of Biomedical Informatics"},{"issue":"7","key":"9893_CR2","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0157734","volume":"11","author":"C Allen","year":"2016","unstructured":"Allen, C., Tsou, M.-H., Aslam, A., Nagel, A., & Gawron, J.-M. (2016). Applying GIS and machine learning methods to twitter data for multiscale surveillance of influenza. PLoS One, 11(7), e0157734.","journal-title":"PLoS One"},{"issue":"1","key":"9893_CR3","first-page":"41","volume":"13","author":"R Amor\u00f3s","year":"2015","unstructured":"Amor\u00f3s, R., Conesa, D., Martinez-Beneito, M. A., & L\u00f3pez-Qu\u0131lez, A. (2015). Statistical methods for detecting the onset of influenza outbreaks: A review. REVSTAT\u2013Statistical Journal, 13(1), 41\u201362.","journal-title":"REVSTAT\u2013Statistical Journal"},{"key":"9893_CR4","unstructured":"Anselin, L. (1989). What is special about spatial data? Alternative Perspectives on Spatial Data Analysis (89-4)."},{"key":"9893_CR5","volume-title":"Spatial econometrics: methods and models","author":"L Anselin","year":"2013","unstructured":"Anselin, L. (2013). Spatial econometrics: methods and models (Vol. 4). Berlin: Springer Science & Business Media."},{"key":"9893_CR6","doi-asserted-by":"crossref","unstructured":"Aslam, A. A., Tsou, M.-H., Spitzberg, B. H., An, L., Gawron, J. M., Gupta, D. K., ... Yang, J.-A. (2014). The reliability of tweets as a supplementary method of seasonal influenza surveillance. Journal of Medical Internet Research, 16(11), e250.","DOI":"10.2196\/jmir.3532"},{"issue":"4","key":"9893_CR7","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1007\/BF00365087","volume":"22","author":"DR Brillinger","year":"1976","unstructured":"Brillinger, D. R., Bryant, H. L., & Segundo, J. P. (1976). Identification of synaptic interactions. Biological Cybernetics, 22(4), 213\u2013228.","journal-title":"Biological Cybernetics"},{"issue":"12","key":"9893_CR8","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0083672","volume":"8","author":"DA Broniatowski","year":"2013","unstructured":"Broniatowski, D. A., Paul, M. J., & Dredze, M. (2013). National and local influenza surveillance through twitter: an analysis of the 2012-2013 influenza epidemic. PLoS One, 8(12), e83672.","journal-title":"PLoS One"},{"issue":"5","key":"9893_CR9","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0126158","volume":"10","author":"Y Chen","year":"2015","unstructured":"Chen, Y. (2015). A new methodology of spatial cross-correlation analysis. PLoS One, 10(5), e0126158.","journal-title":"PLoS One"},{"issue":"3","key":"9893_CR10","doi-asserted-by":"publisher","first-page":"447","DOI":"10.1287\/isre.1110.0376","volume":"22","author":"Y-D Chen","year":"2011","unstructured":"Chen, Y.-D., Brown, S. A., Hu, P. J.-H., King, C.-C., & Chen, H. (2011). Managing emerging infectious diseases with information systems: reconceptualizing outbreak management through the lens of loose coupling. Information Systems Research, 22(3), 447\u2013468.","journal-title":"Information Systems Research"},{"issue":"4","key":"9893_CR11","doi-asserted-by":"publisher","first-page":"962","DOI":"10.1177\/1460458215599822","volume":"22","author":"K Chorianopoulos","year":"2016","unstructured":"Chorianopoulos, K., & Talvis, K. (2016). Flutrack.org: open-source and linked data for epidemiology. Health Informatics Journal, 22(4), 962\u2013974.","journal-title":"Health Informatics Journal"},{"key":"9893_CR12","doi-asserted-by":"publisher","DOI":"10.1002\/0470092394","volume-title":"Bayesian models for categorical data","author":"P Congdon","year":"2005","unstructured":"Congdon, P. (2005). Bayesian models for categorical data. Hoboken: John Wiley & Sons."},{"key":"9893_CR13","first-page":"1012","volume":"457","author":"P Copeland","year":"2013","unstructured":"Copeland, P., Romano, R., Zhang, T., Hecht, G., Zigmond, D., & Stefansen, C. (2013). Google disease trends: an update. Nature, 457, 1012\u20131014.","journal-title":"Nature"},{"issue":"6","key":"9893_CR14","doi-asserted-by":"publisher","first-page":"572","DOI":"10.1177\/0962280214527385","volume":"23","author":"A Corber\u00e1n-Vallet","year":"2014","unstructured":"Corber\u00e1n-Vallet, A., & Lawson, A. B. (2014). Prospective analysis of infectious disease surveillance data using syndromic information. Statistical Methods in Medical Research, 23(6), 572\u2013590.","journal-title":"Statistical Methods in Medical Research"},{"key":"9893_CR15","volume-title":"An introduction to the theory of point processes: Volume II: General theory and structure","author":"DJ Daley","year":"2007","unstructured":"Daley, D. J., & Vere-Jones, D. (2007). An introduction to the theory of point processes: Volume II: General theory and structure. Berlin: Springer Science & Business Media."},{"key":"9893_CR16","doi-asserted-by":"publisher","first-page":"8154","DOI":"10.1038\/srep08154","volume":"5","author":"MW Davidson","year":"2015","unstructured":"Davidson, M. W., Haim, D. A., & Radin, J. M. (2015). Using networks to combine \u201cbig data\u201d and traditional surveillance to improve influenza predictions. Scientific Reports, 5, 8154.","journal-title":"Scientific Reports"},{"issue":"1","key":"9893_CR17","doi-asserted-by":"publisher","first-page":"101","DOI":"10.25300\/MISQ\/2014\/38.1.05","volume":"38","author":"S Dewan","year":"2014","unstructured":"Dewan, S., & Ramaprasad, J. (2014). Social media, traditional media, and music sales. MIS Quarterly, 38(1), 101\u2013122.","journal-title":"MIS Quarterly"},{"key":"9893_CR18","unstructured":"Dewan, S., & Ramprasad, J. (2009). Chicken and egg? Interplay between music blog buzz and album sales. PACIS 2009 proceedings, p. 87."},{"issue":"4","key":"9893_CR19","doi-asserted-by":"publisher","first-page":"1007","DOI":"10.1016\/j.dss.2008.04.001","volume":"45","author":"W Duan","year":"2008","unstructured":"Duan, W., Gu, B., & Whinston, A. B. (2008). Do online reviews matter?\u2014an empirical investigation of panel data. Decision Support Systems, 45(4), 1007\u20131016.","journal-title":"Decision Support Systems"},{"issue":"500","key":"9893_CR20","doi-asserted-by":"publisher","first-page":"1410","DOI":"10.1080\/01621459.2012.713876","volume":"107","author":"V Dukic","year":"2012","unstructured":"Dukic, V., Lopes, H. F., & Polson, N. G. (2012). Tracking epidemics with Google flu trends data and a state-space SEIR model. Journal of the American Statistical Association, 107(500), 1410\u20131426.","journal-title":"Journal of the American Statistical Association"},{"key":"9893_CR21","doi-asserted-by":"publisher","first-page":"85","DOI":"10.1016\/j.dss.2016.06.001","volume":"88","author":"Z-H Fang","year":"2016","unstructured":"Fang, Z.-H., & Chen, C. C. (2016). A novel trend surveillance system using the information from web search engines. Decision Support Systems, 88, 85\u201397.","journal-title":"Decision Support Systems"},{"issue":"7","key":"9893_CR22","doi-asserted-by":"publisher","first-page":"1025","DOI":"10.1068\/a231025","volume":"23","author":"AS Fotheringham","year":"1991","unstructured":"Fotheringham, A. S., & Wong, D. W. (1991). The modifiable areal unit problem in multivariate statistical analysis. Environment and Planning A, 23(7), 1025\u20131044.","journal-title":"Environment and Planning A"},{"key":"9893_CR23","unstructured":"Gesmann, M., & de Castillo, D. (2013) googleVis: Using the Google Chart Tools with R."},{"key":"9893_CR24","unstructured":"Gesmann, M., de Castillo, D., & Cheng, J. (2013). googleVis: Interface between R and the Google Chart Tools. R package version 0.4, 2."},{"issue":"7232","key":"9893_CR25","doi-asserted-by":"publisher","first-page":"1012","DOI":"10.1038\/nature07634","volume":"457","author":"J Ginsberg","year":"2009","unstructured":"Ginsberg, J., Mohebbi, M. H., Patel, R. S., Brammer, L., Smolinski, M. S., & Brilliant, L. (2009). Detecting influenza epidemics using search engine query data. Nature, 457(7232), 1012\u20131014.","journal-title":"Nature"},{"issue":"7196","key":"9893_CR26","doi-asserted-by":"publisher","first-page":"779","DOI":"10.1038\/nature06958","volume":"453","author":"MC Gonzalez","year":"2008","unstructured":"Gonzalez, M. C., Hidalgo, C. A., & Barabasi, A.-L. (2008). Understanding individual human mobility patterns. Nature, 453(7196), 779\u2013782.","journal-title":"Nature"},{"key":"9893_CR27","doi-asserted-by":"crossref","unstructured":"Granger, C. W. (1969). Investigating causal relations by econometric models and cross-spectral methods. Econometrica: Journal of the Econometric Society, 37(3), 424\u2013438.","DOI":"10.2307\/1912791"},{"issue":"1","key":"9893_CR28","doi-asserted-by":"publisher","first-page":"483","DOI":"10.1186\/1471-2458-9-483","volume":"9","author":"BA Griffin","year":"2009","unstructured":"Griffin, B. A., Jain, A. K., Davies-Cole, J., Glymph, C., Lum, G., Washington, S. C., & Stoto, M. A. (2009). Early detection of influenza outbreaks using the DC Department of Health's syndromic surveillance system. BMC Public Health, 9(1), 483.","journal-title":"BMC Public Health"},{"issue":"1","key":"9893_CR29","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1093\/biomet\/58.1.83","volume":"58","author":"AG Hawkes","year":"1971","unstructured":"Hawkes, A. G. (1971). Spectra of some self-exciting and mutually exciting point processes. Biometrika, 58(1), 83\u201390. \n                    https:\/\/doi.org\/10.2307\/2334319\n                    \n                  .","journal-title":"Biometrika"},{"key":"9893_CR30","doi-asserted-by":"crossref","unstructured":"Homans, G. C. (1958). Social behavior as exchange. American Journal of Sociology, 597\u2013606.","DOI":"10.1086\/222355"},{"key":"9893_CR31","unstructured":"Lamb, A., Paul, M. J., & Dredze, M. (2013). Separating Fact from Fear: Tracking Flu Infections on Twitter. Paper presented at the HLT-NAACL."},{"key":"9893_CR32","doi-asserted-by":"crossref","unstructured":"Lampos, V., Miller, A. C., Crossan, S., & Stefansen, C. (2015). Advances in nowcasting influenza-like illness rates using search query logs. Scientific Reports, 5, 12760.","DOI":"10.1038\/srep12760"},{"key":"9893_CR33","doi-asserted-by":"crossref","unstructured":"Lara Yejas, O. D., Weiqiang, Z., & Pannu, A. (2014). Big R: Large-Scale Analytics on Hadoop Using R. Paper presented at the Big Data (BigData Congress), 2014 IEEE International Congress on.","DOI":"10.1109\/BigData.Congress.2014.88"},{"key":"9893_CR34","unstructured":"Lazer, D., Kennedy, R., King, G., & Vespignani, A. (2014). The parable of Google Flu: traps in big data analysis. Science, 343(6176), 1203\u20131205."},{"key":"9893_CR35","unstructured":"Louis, C. S., & Zorlu, G. (2012). Can Twitter predict disease outbreaks? BMJ: British Medical Journal (Online), 344(7861), 24\u201325."},{"key":"9893_CR36","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1016\/j.ins.2015.05.004","volume":"320","author":"IN Lymperopoulos","year":"2015","unstructured":"Lymperopoulos, I. N., & Ioannou, G. D. (2015). Online social contagion modeling through the dynamics of integrate-and-fire neurons. Information Sciences, 320, 26\u201361.","journal-title":"Information Sciences"},{"key":"9893_CR37","doi-asserted-by":"crossref","unstructured":"Ma, J., Zeng, D., & Chen, H. (2006). Spatial-temporal cross-correlation analysis: a new measure and a case study in infectious disease informatics. Paper presented at the International Conference on Intelligence and Security Informatics.","DOI":"10.1007\/11760146_54"},{"issue":"4","key":"9893_CR38","first-page":"349","volume":"24","author":"S Magruder","year":"2003","unstructured":"Magruder, S. (2003). Evaluation of over-the-counter pharmaceutical sales as a possible early warning indicator of human disease. Johns Hopkins APL Technical Digest, 24(4), 349\u2013353.","journal-title":"Johns Hopkins APL Technical Digest"},{"issue":"2","key":"9893_CR39","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1016\/S1473-3099(13)70244-5","volume":"14","author":"GJ Milinovich","year":"2014","unstructured":"Milinovich, G. J., Williams, G. M., Clements, A. C. A., & Hu, W. (2014). Internet-based surveillance systems for monitoring emerging infectious diseases. The Lancet Infectious Diseases, 14(2), 160\u2013168. \n                    https:\/\/doi.org\/10.1016\/S1473-3099(13)70244-5\n                    \n                  .","journal-title":"The Lancet Infectious Diseases"},{"issue":"3","key":"9893_CR40","doi-asserted-by":"publisher","first-page":"491","DOI":"10.1016\/j.ijforecast.2014.01.004","volume":"30","author":"G Mohler","year":"2014","unstructured":"Mohler, G. (2014). Marked point process hotspot maps for homicide and gun crime prediction in Chicago. International Journal of Forecasting, 30(3), 491\u2013497.","journal-title":"International Journal of Forecasting"},{"issue":"27","key":"9893_CR41","doi-asserted-by":"publisher","first-page":"5086","DOI":"10.1016\/j.vaccine.2007.03.046","volume":"25","author":"N-AM Molinari","year":"2007","unstructured":"Molinari, N.-A. M., Ortega-Sanchez, I. R., Messonnier, M. L., Thompson, W. W., Wortley, P. M., Weintraub, E., & Bridges, C. B. (2007). The annual impact of seasonal influenza in the US: measuring disease burden and costs. Vaccine, 25(27), 5086\u20135096. \n                    https:\/\/doi.org\/10.1016\/j.vaccine.2007.03.046\n                    \n                  .","journal-title":"Vaccine"},{"key":"9893_CR42","doi-asserted-by":"crossref","unstructured":"Moran, P. A. (1950). Notes on continuous stochastic phenomena. Biometrika, 37(1\/2), 17-23.","DOI":"10.1093\/biomet\/37.1-2.17"},{"issue":"3","key":"9893_CR43","doi-asserted-by":"publisher","first-page":"493","DOI":"10.1007\/s10796-014-9507-4","volume":"17","author":"BV Nguyen","year":"2015","unstructured":"Nguyen, B. V., Burstein, F., & Fisher, J. (2015). Improving service of online health information provision: a case of usage-driven design for health information portals. Information Systems Frontiers, 17(3), 493\u2013511.","journal-title":"Information Systems Frontiers"},{"issue":"15","key":"9893_CR44","doi-asserted-by":"publisher","first-page":"2643","DOI":"10.1002\/sim.5670","volume":"32","author":"B Nunes","year":"2013","unstructured":"Nunes, B., Nat\u00e1rio, I., & Luc\u00edlia Carvalho, M. (2013). Nowcasting influenza epidemics using non-homogeneous hidden Markov models. Statistics in Medicine, 32(15), 2643\u20132660.","journal-title":"Statistics in Medicine"},{"issue":"401","key":"9893_CR45","doi-asserted-by":"publisher","first-page":"9","DOI":"10.1080\/01621459.1988.10478560","volume":"83","author":"Y Ogata","year":"1988","unstructured":"Ogata, Y. (1988). Statistical models for earthquake occurrences and residual analysis for point processes. Journal of the American Statistical Association, 83(401), 9\u201327.","journal-title":"Journal of the American Statistical Association"},{"key":"9893_CR46","unstructured":"Oliver, P., Marwell, G., & Teixeira, R. (1985). A theory of the critical mass. I. Interdependence, group heterogeneity, and the production of collective action. American Journal of Sociology, 91(3), 522-556."},{"key":"9893_CR47","volume-title":"Geographic information analysis","author":"D O'Sullivan","year":"2014","unstructured":"O'Sullivan, D., & Unwin, D. (2014). Geographic information analysis. Hoboken: John Wiley & Sons."},{"key":"9893_CR48","doi-asserted-by":"publisher","unstructured":"Pagoto, S., Waring, M. E., May, C. N., Ding, E. Y., Kunz, W. H., Hayes, R., & Oleski, J. L. (2016). Adapting behavioral interventions for social media delivery. Journal of medical Internet research, 18(1), e24. \n                    https:\/\/doi.org\/10.2196\/jmir.5086\n                    \n                  .","DOI":"10.2196\/jmir.5086"},{"issue":"8","key":"9893_CR49","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0043611","volume":"7","author":"A Patwardhan","year":"2012","unstructured":"Patwardhan, A., & Bilkovski, R. (2012). Comparison: flu prescription sales data from a retail pharmacy in the US with Google flu trends and US ILINet (CDC) data as flu activity indicator. PLoS One, 7(8), e43611.","journal-title":"PLoS One"},{"key":"9893_CR50","doi-asserted-by":"publisher","first-page":"16","DOI":"10.1016\/j.seps.2014.09.001","volume":"49","author":"JB Pick","year":"2015","unstructured":"Pick, J. B., Sarkar, A., & Johnson, J. (2015). United States digital divide: state level analysis of spatial clustering and multivariate determinants of ICT utilization. Socio-Economic Planning Sciences, 49, 16\u201332.","journal-title":"Socio-Economic Planning Sciences"},{"issue":"4","key":"9893_CR51","doi-asserted-by":"publisher","first-page":"645","DOI":"10.1111\/j.1539-6924.2010.01529.x","volume":"31","author":"G Prati","year":"2011","unstructured":"Prati, G., Pietrantoni, L., & Zani, B. (2011). A social-cognitive model of pandemic influenza H1N1 risk perception and recommended behaviors in Italy. Risk Analysis, 31(4), 645\u2013656.","journal-title":"Risk Analysis"},{"issue":"6","key":"9893_CR52","doi-asserted-by":"publisher","first-page":"472","DOI":"10.1177\/003335491412900603","volume":"129","author":"CL Richards","year":"2014","unstructured":"Richards, C. L., Iademarco, M. F., & Anderson, T. C. (2014). A new strategy for public health surveillance at CDC: improving national surveillance activities and outcomes. Public Health Reports, 129(6), 472\u2013476.","journal-title":"Public Health Reports"},{"key":"9893_CR53","unstructured":"Rubin-Delanchy, P., & Heard, N. A. (2014). A test for dependence between two point processes on the real line. arXiv preprint arXiv:1408.3845."},{"key":"9893_CR54","doi-asserted-by":"publisher","unstructured":"Rudra, K., Sharma, A., Ganguly, N., & Imran, M. (2018). Classifying and summarizing information from microblogs during epidemics. Information Systems Frontiers, 1-16. \n                    https:\/\/doi.org\/10.1007\/s10796-018-9844-9\n                    \n                  .","DOI":"10.1007\/s10796-018-9844-9"},{"key":"9893_CR55","unstructured":"Sane, J., & Edelstein, M. (2015) Overcoming barriers to data sharing in public health. A global perspective. London: Chatham House."},{"issue":"10","key":"9893_CR56","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pcbi.1004513","volume":"11","author":"M Santillana","year":"2015","unstructured":"Santillana, M., Nguyen, A. T., Dredze, M., Paul, M. J., Nsoesie, E. O., & Brownstein, J. S. (2015). Combining search, social media, and traditional data sources to improve influenza surveillance. PLoS Computational Biology, 11(10), e1004513.","journal-title":"PLoS Computational Biology"},{"key":"9893_CR57","doi-asserted-by":"crossref","unstructured":"Santillana, M., Nguyen, A. T., Louie, T., Zink, A., Gray, J., Sung, I., & Brownstein, J. S. (2016). Cloud-based Electronic Health Records for Real-time, Region-specific Influenza Surveillance. Scientific Reports, 6, 25732.","DOI":"10.1038\/srep25732"},{"issue":"11","key":"9893_CR58","doi-asserted-by":"publisher","first-page":"1803","DOI":"10.1002\/sim.2566","volume":"25","author":"P Sebastiani","year":"2006","unstructured":"Sebastiani, P., Mandl, K. D., Szolovits, P., Kohane, I. S., & Ramoni, M. F. (2006). A Bayesian dynamic model for influenza surveillance. Statistics in Medicine, 25(11), 1803\u20131816.","journal-title":"Statistics in Medicine"},{"issue":"1","key":"9893_CR59","doi-asserted-by":"publisher","first-page":"123","DOI":"10.25300\/MISQ\/2014\/38.1.06","volume":"38","author":"Z Shi","year":"2014","unstructured":"Shi, Z., Rui, H., & Whinston, A. B. (2014). Content sharing in a social broadcasting environment: evidence from twitter. MIS Quarterly, 38(1), 123\u2013142. \n                    https:\/\/doi.org\/10.25300\/misq\/2014\/38.1.06\n                    \n                  .","journal-title":"MIS Quarterly"},{"issue":"5","key":"9893_CR60","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0019467","volume":"6","author":"A Signorini","year":"2011","unstructured":"Signorini, A., Segre, A. M., & Polgreen, P. M. (2011). The use of twitter to track levels of disease activity and public concern in the US during the influenza A H1N1 pandemic. PLoS One, 6(5), e19467.","journal-title":"PLoS One"},{"issue":"suppl_4","key":"9893_CR61","doi-asserted-by":"publisher","first-page":"S380","DOI":"10.1093\/infdis\/jiw376","volume":"214","author":"L Simonsen","year":"2016","unstructured":"Simonsen, L., Gog, J. R., Olson, D., & Viboud, C. (2016). Infectious disease surveillance in the big data era: towards faster and locally relevant systems. The Journal of Infectious Diseases, 214(suppl_4), S380\u2013S385.","journal-title":"The Journal of Infectious Diseases"},{"key":"9893_CR62","doi-asserted-by":"crossref","unstructured":"Talvis, K., Chorianopoulos, K., & Kermanidis, K. L. (2014). Real-time monitoring of flu epidemics through linguistic and statistical analysis of Twitter messages. Paper presented at the Semantic and Social Media Adaptation and Personalization (SMAP), 2014 9th International Workshop on.","DOI":"10.1109\/SMAP.2014.38"},{"issue":"4","key":"9893_CR63","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1989734.1989742","volume":"2","author":"JL Toole","year":"2011","unstructured":"Toole, J. L., Eagle, N., & Plotkin, J. B. (2011). Spatiotemporal correlations in criminal offense records. ACM Transactions on Intelligent Systems and Technology, 2(4), 1\u201318. \n                    https:\/\/doi.org\/10.1145\/1989734.1989742\n                    \n                  .","journal-title":"ACM Transactions on Intelligent Systems and Technology"},{"issue":"sup1","key":"9893_CR64","doi-asserted-by":"publisher","first-page":"70","DOI":"10.1080\/15230406.2015.1059251","volume":"42","author":"M-H Tsou","year":"2015","unstructured":"Tsou, M.-H. (2015). Research challenges and opportunities in mapping social media and big data. Cartography and Geographic Information Science, 42(sup1), 70\u201374.","journal-title":"Cartography and Geographic Information Science"},{"issue":"5","key":"9893_CR65","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0064156","volume":"8","author":"Y Vandendijck","year":"2013","unstructured":"Vandendijck, Y., Faes, C., & Hens, N. (2013). Eight years of the great influenza survey to monitor influenza-like illness in Flanders. PLoS One, 8(5), e64156.","journal-title":"PLoS One"},{"issue":"1","key":"9893_CR66","doi-asserted-by":"publisher","first-page":"75","DOI":"10.2307\/25148625","volume":"28","author":"RH Alan von","year":"2004","unstructured":"von Alan, R. H., March, S. T., Park, J., & Ram, S. (2004). Design science in information systems research. MIS Quarterly, 28(1), 75\u2013105.","journal-title":"MIS Quarterly"},{"issue":"1","key":"9893_CR67","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-018-32029-6","volume":"8","author":"M Wagner","year":"2018","unstructured":"Wagner, M., Lampos, V., Cox, I. J., & Pebody, R. (2018). The added value of online user-generated content in traditional methods for influenza surveillance. Scientific Reports, 8(1), 13963. \n                    https:\/\/doi.org\/10.1038\/s41598-018-32029-6\n                    \n                  .","journal-title":"Scientific Reports"},{"issue":"5","key":"9893_CR68","doi-asserted-by":"publisher","first-page":"1172","DOI":"10.1016\/j.physa.2012.11.031","volume":"392","author":"D-H Wang","year":"2013","unstructured":"Wang, D.-H., Suo, Y.-Y., Yu, X.-W., & Lei, M. (2013). Price\u2013volume cross-correlation analysis of CSI300 index futures. Physica A: Statistical Mechanics and its Applications, 392(5), 1172\u20131179.","journal-title":"Physica A: Statistical Mechanics and its Applications"},{"issue":"8","key":"9893_CR69","doi-asserted-by":"publisher","first-page":"829","DOI":"10.1503\/cmaj.1090215","volume":"180","author":"K Wilson","year":"2009","unstructured":"Wilson, K., & Brownstein, J. S. (2009). Early detection of disease outbreaks using the internet. Canadian Medical Association Journal, 180(8), 829\u2013831.","journal-title":"Canadian Medical Association Journal"},{"key":"9893_CR70","doi-asserted-by":"publisher","first-page":"112","DOI":"10.1016\/j.ypmed.2014.01.024","volume":"63","author":"SD Young","year":"2014","unstructured":"Young, S. D., Rivers, C., & Lewis, B. (2014). Methods of using real-time social media technologies for detection and remote monitoring of HIV outcomes. Preventive Medicine, 63, 112\u2013115.","journal-title":"Preventive Medicine"}],"container-title":["Information Systems Frontiers"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10796-018-9893-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s10796-018-9893-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s10796-018-9893-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,1,4]],"date-time":"2020-01-04T19:15:58Z","timestamp":1578165358000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s10796-018-9893-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2019,1,5]]},"references-count":70,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2019,8]]}},"alternative-id":["9893"],"URL":"https:\/\/doi.org\/10.1007\/s10796-018-9893-0","relation":{},"ISSN":["1387-3326","1572-9419"],"issn-type":[{"value":"1387-3326","type":"print"},{"value":"1572-9419","type":"electronic"}],"subject":[],"published":{"date-parts":[[2019,1,5]]},"assertion":[{"value":"5 January 2019","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}