{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,22]],"date-time":"2025-12-22T12:48:53Z","timestamp":1766407733360,"version":"3.40.4"},"reference-count":39,"publisher":"Springer Science and Business Media LLC","issue":"1-2","license":[{"start":{"date-parts":[[2017,3,29]],"date-time":"2017-03-29T00:00:00Z","timestamp":1490745600000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2017,3,29]],"date-time":"2017-03-29T00:00:00Z","timestamp":1490745600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"DOI":"10.13039\/100000774","name":"Defense Threat Reduction Agency","doi-asserted-by":"publisher","award":["HDTRA1-12-C-0061"],"award-info":[{"award-number":["HDTRA1-12-C-0061"]}],"id":[{"id":"10.13039\/100000774","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Ann Oper Res"],"published-print":{"date-parts":[[2018,4]]},"DOI":"10.1007\/s10479-017-2480-9","type":"journal-article","created":{"date-parts":[[2017,3,29]],"date-time":"2017-03-29T14:33:53Z","timestamp":1490798033000},"page":"551-564","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":22,"title":["Predicting social response to infectious disease outbreaks from internet-based news streams"],"prefix":"10.1007","volume":"263","author":[{"given":"Shannon M.","family":"Fast","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Louis","family":"Kim","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Emily L.","family":"Cohn","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sumiko R.","family":"Mekaru","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"John S.","family":"Brownstein","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Natasha","family":"Markuzon","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2017,3,29]]},"reference":[{"issue":"1","key":"2480_CR1","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1145\/1007730.1007735","volume":"6","author":"GEA Batista","year":"2004","unstructured":"Batista, G. E. A., Prati, R. C., & Monard, M. C. (2004). A study of the behavior of several methods for balancing machine learning training data. ACM SIGKDD Explorations Newsletter, 6(1), 20\u201329. doi:10.1145\/1007730.1007735.","journal-title":"ACM SIGKDD Explorations Newsletter"},{"key":"2480_CR2","unstructured":"Beck, N., Epstein, D., Jackman, S., & O\u2019Halloran, S. (2001). Alternative models of dynamics in binary time-series-cross-section models: The example of state failure. http:\/\/hdl.handle.net\/10022\/AC:P:9718."},{"issue":"4","key":"2480_CR3","doi-asserted-by":"publisher","first-page":"1260","DOI":"10.2307\/2991857","volume":"42","author":"N Beck","year":"1998","unstructured":"Beck, N., Katz, J. N., & Tucker, R. (1998). Taking time seriously: Time-series-cross-section analysis with a binary dependent variable. American Journal of Political Science, 42(4), 1260\u20131288. doi:10.2307\/2991857.","journal-title":"American Journal of Political Science"},{"issue":"1","key":"2480_CR4","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1016\/j.jocs.2010.12.007","volume":"2","author":"J Bollen","year":"2011","unstructured":"Bollen, J., Mao, H., & Zeng, X. (2011). Twitter mood predicts the stock market. Journal of Computational Science, 2(1), 1\u20138.","journal-title":"Journal of Computational Science"},{"issue":"1","key":"2480_CR5","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman, L. (2001). Random forests. Machine Learning, 45(1), 5\u201332.","journal-title":"Machine Learning"},{"issue":"7","key":"2480_CR6","doi-asserted-by":"publisher","first-page":"e151","DOI":"10.1371\/journal.pmed.0050151","volume":"5","author":"JS Brownstein","year":"2008","unstructured":"Brownstein, J. S., Freifeld, C. C., Reis, B. Y., & Mandl, K. D. (2008). Surveillance Sans Fronti\u00e8res: Internet-based emerging infectious disease intelligence and the HealthMap project. PLoS Med, 5(7), e151. doi:10.1371\/journal.pmed.0050151.","journal-title":"PLoS Med"},{"issue":"2","key":"2480_CR7","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1016\/j.jbi.2004.11.007","volume":"38","author":"DL Buckeridge","year":"2005","unstructured":"Buckeridge, D. L., Burkom, H., Campbell, M., Hogan, W. R., & Moore, A. W. (2005). Algorithms for rapid outbreak detection: A research synthesis. Journal of Biomedical Informatics, 38(2), 99\u2013113.","journal-title":"Journal of Biomedical Informatics"},{"issue":"1","key":"2480_CR8","doi-asserted-by":"crossref","first-page":"321","DOI":"10.1613\/jair.953","volume":"16","author":"NV Chawla","year":"2002","unstructured":"Chawla, N. V., Bowyer, K. W., Hall, L. O., & Kegelmeyer, W. P. (2002). SMOTE: Synthetic minority over-sampling technique. Journal of Artificial Intelligence Research, 16(1), 321\u2013357.","journal-title":"Journal of Artificial Intelligence Research"},{"issue":"1","key":"2480_CR9","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1353\/apr.2004.0034","volume":"28","author":"C Cheng","year":"2004","unstructured":"Cheng, C. (2004). To be paranoid is the standard? Panic responses to SARS outbreak in the Hong Kong Special Administrative Region. Asian Perspective, 28(1), 67\u201398.","journal-title":"Asian Perspective"},{"issue":"24","key":"2480_CR10","doi-asserted-by":"publisher","first-page":"2940","DOI":"10.1093\/bioinformatics\/btn534","volume":"24","author":"N Collier","year":"2008","unstructured":"Collier, N., Doan, S., Kawazoe, A., Goodwin, R. M., Conway, M., Tateno, Y., et al. (2008). Biocaster: Detecting public health rumors with a web-based text mining system. Bioinformatics, 24(24), 2940\u20132941. doi:10.1093\/bioinformatics\/btn534.","journal-title":"Bioinformatics"},{"issue":"5","key":"2480_CR11","doi-asserted-by":"publisher","first-page":"e0122,472","DOI":"10.1371\/journal.pone.0122472","volume":"10","author":"V D\u2019Orazio","year":"2015","unstructured":"D\u2019Orazio, V., & Yonamine, J. E. (2015). Kickoff to conflict: A sequence analysis of intra-state conflict-preceding event structures. PLoS ONE, 10(5), e0122,472. doi:10.1371\/journal.pone.0122472.","journal-title":"PLoS ONE"},{"issue":"4","key":"2480_CR12","doi-asserted-by":"publisher","first-page":"185","DOI":"10.1089\/big.2014.0046","volume":"2","author":"A Doyle","year":"2014","unstructured":"Doyle, A., Katz, G., Summers, K., Ackermann, C., Zavorin, I., Lim, Z., et al. (2014). Forecasting significant societal events using the EMBERS streaming predictive analytics system. Big Data, 2(4), 185\u2013195. doi:10.1089\/big.2014.0046.","journal-title":"Big Data"},{"key":"2480_CR13","doi-asserted-by":"publisher","unstructured":"Fast, S. M., Gonz\u00e1lez, M. C., Wilson, J. M., & Markuzon, N. (2015). Modelling the propagation of social response during a disease outbreak. Journal of The Royal Society Interface, 12(104), 20141105. doi:10.1098\/rsif.2014.1105.","DOI":"10.1098\/rsif.2014.1105"},{"issue":"6","key":"2480_CR14","doi-asserted-by":"publisher","first-page":"649","DOI":"10.1177\/0894439313493979","volume":"31","author":"D Gayo-Avello","year":"2013","unstructured":"Gayo-Avello, D. (2013). A meta-analysis of state-of-the-art electoral prediction from Twitter data. Social Science Computer Review, 31(6), 649\u2013679.","journal-title":"Social Science Computer Review"},{"key":"2480_CR15","doi-asserted-by":"publisher","first-page":"115","DOI":"10.1016\/j.dss.2014.02.003","volume":"61","author":"MS Gerber","year":"2014","unstructured":"Gerber, M. S. (2014). Predicting crime using Twitter and kernel density estimation. Decision Support Systems, 61, 115\u2013125.","journal-title":"Decision Support Systems"},{"key":"2480_CR16","unstructured":"International Federation of Red Cross and Red Crescent Societies (2015) Red Cross Red Crescent denounces countinued violence against volunteers working to stop the spread of Ebola. http:\/\/www.ifrc.org\/en\/news-and-media\/press-releases\/africa\/guinea\/red-cross-denounces-continued-violence-against-volunteers-working-to-stop-the-spread-of-ebola"},{"key":"2480_CR17","unstructured":"Jackman, S. (2000). In and out of war and peace: Transitional models of international conflict. http:\/\/citeseerx.ist.psu.edu\/viewdoc\/summary?doi=10.1.1.200.5895&rank=1."},{"key":"2480_CR18","doi-asserted-by":"publisher","first-page":"15","DOI":"10.1186\/1744-8603-8-15","volume":"8","author":"J Kinsman","year":"2012","unstructured":"Kinsman, J. (2012). \u201cA time of fear\u201d: Local, national, and international responses to a large Ebola outbreak in Uganda. Globalization and Health, 8, 15\u201315.","journal-title":"Globalization and Health"},{"key":"2480_CR19","doi-asserted-by":"publisher","unstructured":"Lau, J. T. F., Griffiths, S., Choi, K. C., & Tsui, H. Y. (2010). Avoidance behaviors and negative psychological responses in the general population in the initial stage of the H1N1 pandemic in Hong Kong. BMC Infectious Diseases, 10(1), 139. doi:10.1186\/1471-2334-10-139.","DOI":"10.1186\/1471-2334-10-139"},{"issue":"9859","key":"2480_CR20","doi-asserted-by":"publisher","first-page":"2095","DOI":"10.1016\/S0140-6736(12)61728-0","volume":"380","author":"R Lozano","year":"2012","unstructured":"Lozano, R., Naghavi, M., Foreman, K., Lim, S., Shibuya, K., Aboyans, V., et al. (2012). Global and regional mortality from 235 causes of death for 20 age groups in 1990 and 2010: A systematic analysis for the global burden of disease study 2010. Lancet, 380(9859), 2095\u20132128. doi:10.1016\/S0140-6736(12)61728-0.","journal-title":"Lancet"},{"issue":"1","key":"2480_CR21","doi-asserted-by":"publisher","first-page":"84","DOI":"10.1016\/j.ijar.2013.03.012","volume":"55","author":"S Mascaro","year":"2014","unstructured":"Mascaro, S., Nicholso, A. E., & Korb, K. B. (2014). Anomaly detection in vessel tracks using Bayesian networks. International Journal of Approximate Reasoning, 55(1), 84\u201398.","journal-title":"International Journal of Approximate Reasoning"},{"issue":"4","key":"2480_CR22","doi-asserted-by":"publisher","first-page":"407","DOI":"10.1002\/ajpa.1330840405","volume":"84","author":"JW McGrath","year":"1991","unstructured":"McGrath, J. W. (1991). Biological impact of social disruption resulting from epidemic disease. American Journal of Physical Anthropology, 84(4), 407\u2013419. doi:10.1002\/ajpa.1330840405.","journal-title":"American Journal of Physical Anthropology"},{"key":"2480_CR23","volume-title":"Introduction to Statistical Quality Control","author":"DC Montgomery","year":"2009","unstructured":"Montgomery, D. C. (2009). Introduction to Statistical Quality Control (6th ed.). New Jersey: Wiley.","edition":"6"},{"issue":"3","key":"2480_CR24","doi-asserted-by":"publisher","first-page":"271","DOI":"10.1093\/pan\/mps002","volume":"20","author":"JM Montgomery","year":"2012","unstructured":"Montgomery, J. M., Hollenbach, F. M., & Ward, M. D. (2012). Improving predictions using ensemble bayesian model averaging. Political Analysis, 20(3), 271\u2013291.","journal-title":"Political Analysis"},{"issue":"1","key":"2480_CR25","doi-asserted-by":"crossref","first-page":"42","DOI":"10.1007\/BF03405213","volume":"97","author":"E Mykhalovskiy","year":"2006","unstructured":"Mykhalovskiy, E., & Weir, L. (2006). The global public health intelligence network and early warning outbreak detection: A Canadian contribution to global public health. Canadian Journal of Public Health\/Revue Canadienne de Sant\u00e9Publique, 97(1), 42\u201344.","journal-title":"Canadian Journal of Public Health\/Revue Canadienne de Sant\u00e9Publique"},{"issue":"1","key":"2480_CR26","doi-asserted-by":"publisher","first-page":"87","DOI":"10.1111\/j.1468-2486.2009.00914.x","volume":"12","author":"SP O\u2019Brien","year":"2010","unstructured":"O\u2019Brien, S. P. (2010). Crisis early warning and decision support: Contemporary approaches and thoughts on future research. International Studies Review, 12(1), 87\u2013104. doi:10.1111\/j.1468-2486.2009.00914.x.","journal-title":"International Studies Review"},{"issue":"1","key":"2480_CR27","doi-asserted-by":"publisher","first-page":"4","DOI":"10.1109\/MASSP.1986.1165342","volume":"3","author":"LR Rabiner","year":"1986","unstructured":"Rabiner, L. R., & Juang, B. H. (1986). An introduction to hidden Markov models. IEEE ASSP Magazine, 3(1), 4\u201316.","journal-title":"IEEE ASSP Magazine"},{"key":"2480_CR28","first-page":"334","volume":"2014","author":"MP Racette","year":"2014","unstructured":"Racette, M. P., Smith, C. T., Cunningham, M. P., Heekin, T. A., Lemley, J. P., & Mathieu, R. S. (2014). Improving situational awareness for humanitarian logistics through predictive modeling. Systems and Information Engineering Design Symposium (SIEDS), 2014, 334\u2013339.","journal-title":"Systems and Information Engineering Design Symposium (SIEDS)"},{"key":"2480_CR29","doi-asserted-by":"publisher","first-page":"610","DOI":"10.1007\/978-3-642-23887-1_78","volume":"7003","author":"L Rashidi","year":"2011","unstructured":"Rashidi, L., Hashemi, S., & Hamzeh, A. (2011). Anomaly detection in categorical datasets using Bayesian networks. Artificial Intelligence and Computational Intelligence, 7003, 610\u2013619.","journal-title":"Artificial Intelligence and Computational Intelligence"},{"issue":"3","key":"2480_CR30","doi-asserted-by":"publisher","first-page":"239","DOI":"10.1080\/00401706.1959.10489860","volume":"1","author":"SW Roberts","year":"1959","unstructured":"Roberts, S. W. (1959). Control chart tests based on geometric moving averages. Technometrics, 1(3), 239\u2013250.","journal-title":"Technometrics"},{"issue":"2","key":"2480_CR31","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/1462198.1462204","volume":"27","author":"RP Schumaker","year":"2009","unstructured":"Schumaker, R. P., & Chen, H. (2009). Textual analysis of stock market prediction using breaking financial news: The AZFin text system. ACM Transactions on Information Systems (TOIS), 27(2), 1\u201319. doi:10.1145\/1462198.1462204.","journal-title":"ACM Transactions on Information Systems (TOIS)"},{"issue":"6","key":"2480_CR32","doi-asserted-by":"publisher","first-page":"581","DOI":"10.1016\/j.orl.2013.07.008","volume":"41","author":"L Servi","year":"2013","unstructured":"Servi, L. (2013). Analyzing social media data having discontinuous underlying dynamics. Operations Research Letters, 41(6), 581\u2013585.","journal-title":"Operations Research Letters"},{"issue":"2","key":"2480_CR33","doi-asserted-by":"publisher","first-page":"332","DOI":"10.1111\/j.1467-9566.2012.01525.x","volume":"35","author":"W Sherlaw","year":"2013","unstructured":"Sherlaw, W., & Raude, J. (2013). Why the French did not choose to panic: A dynamic analysis of the public response to the influenza pandemic. Sociology of Health & Illness, 35(2), 332\u2013344.","journal-title":"Sociology of Health & Illness"},{"key":"2480_CR34","unstructured":"Truv\u00e9, S. (2013). Big data for the future: Unlocking the predictive power of the web. http:\/\/www.slideshare.net\/RecordedFuture\/big-data-for-the-future-unlocking-the-predictive-power-of-the-web"},{"key":"2480_CR35","unstructured":"Vaisman, E., Fast, S. M., Cunha, M. G., Postlethwaite, T., Wilson, J. M., & Mekaru, S. R. (2014). Predicting negative social response to disease outbreaks using biosurveillance and news data. In: 2014 INFORMS Workshop on Data Mining and Analytics."},{"issue":"3","key":"2480_CR36","doi-asserted-by":"publisher","first-page":"408","DOI":"10.1109\/TSMC.1972.4309137","volume":"2","author":"DL Wilson","year":"1972","unstructured":"Wilson, D. L. (1972). Asymptotic properties of nearest neighbor rules using edited data. IEEE Transactions on Systems, Man and Cybernetics, 2(3), 408\u2013421.","journal-title":"IEEE Transactions on Systems, Man and Cybernetics"},{"issue":"8","key":"2480_CR37","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. doi:10.1503\/cmaj.1090215.","journal-title":"Canadian Medical Association Journal"},{"key":"2480_CR38","unstructured":"Wong, W.K., Moore, A., Cooper, G., & Wagner, M. (2003). Bayesian network anomaly pattern detection for disease outbreaks. In Proceedings of the Twentieth International Conference on Machine Learning (pp. 808\u2013815)."},{"issue":"Suppl","key":"2480_CR39","doi-asserted-by":"publisher","first-page":"147","DOI":"10.1590\/S0102-311X2001000700024","volume":"17","author":"JP Woodall","year":"2001","unstructured":"Woodall, J. P. (2001). Global surveillance of emerging diseases: The ProMED-mail perspective. Cad Saude Publica, 17(Suppl), 147\u2013154.","journal-title":"Cad Saude Publica"}],"container-title":["Annals of Operations Research"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10479-017-2480-9\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-017-2480-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10479-017-2480-9.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,4,9]],"date-time":"2025-04-09T04:47:27Z","timestamp":1744174047000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10479-017-2480-9"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,3,29]]},"references-count":39,"journal-issue":{"issue":"1-2","published-print":{"date-parts":[[2018,4]]}},"alternative-id":["2480"],"URL":"https:\/\/doi.org\/10.1007\/s10479-017-2480-9","relation":{},"ISSN":["0254-5330","1572-9338"],"issn-type":[{"type":"print","value":"0254-5330"},{"type":"electronic","value":"1572-9338"}],"subject":[],"published":{"date-parts":[[2017,3,29]]},"assertion":[{"value":"29 March 2017","order":1,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}}]}}