{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T10:29:34Z","timestamp":1768904974006,"version":"3.49.0"},"reference-count":37,"publisher":"Springer Science and Business Media LLC","issue":"1","license":[{"start":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T00:00:00Z","timestamp":1508803200000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["EPJ Data Sci."],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1140\/epjds\/s13688-017-0124-6","type":"journal-article","created":{"date-parts":[[2017,10,24]],"date-time":"2017-10-24T14:40:47Z","timestamp":1508856047000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":35,"title":["Are you getting sick? Predicting influenza-like symptoms using human mobility behaviors"],"prefix":"10.1140","volume":"6","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9896-0610","authenticated-orcid":false,"given":"Gianni","family":"Barlacchi","sequence":"first","affiliation":[]},{"given":"Christos","family":"Perentis","sequence":"additional","affiliation":[]},{"given":"Abhinav","family":"Mehrotra","sequence":"additional","affiliation":[]},{"given":"Mirco","family":"Musolesi","sequence":"additional","affiliation":[]},{"given":"Bruno","family":"Lepri","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2017,10,24]]},"reference":[{"key":"124_CR1","unstructured":"International Telecommunication Union (2014) The world in 2014: ICT facts and figures. http:\/\/www.itu.int\/"},{"key":"124_CR2","first-page":"790","volume-title":"Proceedings of the international conference on social computing (SocialCom)","author":"A Bogomolov","year":"2013","unstructured":"Bogomolov A, Lepri B, Pianesi F (2013) Happiness recognition from mobile phone data. In: Proceedings of the international conference on social computing (SocialCom). IEEE, New York, pp 790-795"},{"key":"124_CR3","volume-title":"Proceedings of the AAAI international conference on weblogs and social","author":"M Choudhury De","year":"2013","unstructured":"De Choudhury M, Gamon M, Counts S, Horvitz E (2013) Predicting depression via social media. In: Proceedings of the AAAI international conference on weblogs and social, Media (ICWSM). AAAi"},{"key":"124_CR4","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1145\/2462456.2464449","volume-title":"Proceeding of the 11th annual international conference on mobile systems, applications, and services","author":"R LiKamWa","year":"2013","unstructured":"LiKamWa R, Liu Y, Lane ND, Zhong L (2013) Moodscope: building a mood sensor from smartphone usage patterns. In: Proceeding of the 11th annual international conference on mobile systems, applications, and services. ACM, New York, pp 389-402"},{"key":"124_CR5","doi-asserted-by":"crossref","first-page":"1293","DOI":"10.1145\/2750858.2805845","volume-title":"Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing","author":"L Canzian","year":"2015","unstructured":"Canzian L, Musolesi M (2015) Trajectories of depression: unobtrusive monitoring of depressive states by means of smartphone mobility traces analysis. In: Proceedings of the 2015 ACM international joint conference on pervasive and ubiquitous computing. ACM, New York, pp 1293-1304"},{"key":"124_CR6","doi-asserted-by":"crossref","first-page":"291","DOI":"10.1145\/1864349.1864394","volume-title":"Proceedings of the 12th ACM international conference on ubiquitous computing (UbiComp)","author":"A Madan","year":"2010","unstructured":"Madan A, Cebrian M, Lazer D, Pentland A (2010) Social sensing for epidemiological behavior change. In: Proceedings of the 12th ACM international conference on ubiquitous computing (UbiComp). ACM, New York, pp 291-300"},{"issue":"4","key":"124_CR7","doi-asserted-by":"crossref","first-page":"36","DOI":"10.1109\/MPRV.2011.79","volume":"11","author":"A Madan","year":"2012","unstructured":"Madan A, Cebrian M, Moturu S, Farrahi K, Pentland A (2012) Sensing the \u2018health state\u2019 of a community. IEEE Pervasive Comput 11(4):36-45","journal-title":"IEEE Pervasive Comput"},{"key":"124_CR8","doi-asserted-by":"crossref","first-page":"477","DOI":"10.1145\/2647868.2654933","volume-title":"Proceedings of the ACM international conference on multimedia","author":"A Bogomolov","year":"2014","unstructured":"Bogomolov A, Lepri B, Ferron M, Pianesi F, Pentland AS (2014) Daily stress recognition from mobile phone data, weather conditions and individual traits. In: Proceedings of the ACM international conference on multimedia. ACM, New York, pp 477-486"},{"issue":"7232","key":"124_CR9","doi-asserted-by":"crossref","first-page":"1012","DOI":"10.1038\/nature07634","volume":"457","author":"J Ginsberg","year":"2009","unstructured":"Ginsberg J, Mohebbi MH, Patel RS, Brammer L, Smolinski MS, Brilliant L (2009) Detecting influenza epidemics using search engine query data. Nature 457(7232):1012-1014","journal-title":"Nature"},{"key":"124_CR10","first-page":"57","volume-title":"Proceedings of the international conference on social computing (SocialCom)","author":"E Frias-Martinez","year":"2011","unstructured":"Frias-Martinez E, Williamson G, Frias-Martinez V (2011) An agent-based model of epidemic spread using human mobility and social network information. In: Proceedings of the international conference on social computing (SocialCom). IEEE, New York, pp 57-64"},{"issue":"7","key":"124_CR11","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1002616","volume":"8","author":"M Salathe","year":"2012","unstructured":"Salathe M, Bengtsson L, Bodnar TJ, Brewer DD, Brownstein JS, Buckee C, Campbell EM, Cattuto C, Khandelwal S, Mabry PL et al. (2012) Digital epidemiology. PLoS Comput Biol 8(7):1002616","journal-title":"PLoS Comput Biol"},{"issue":"7","key":"124_CR12","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pcbi.1003716","volume":"10","author":"M Tizzoni","year":"2014","unstructured":"Tizzoni M, Bajardi P, Decuyper A, Kon Kam King G, Schneider CM, Blondel V, Smoreda Z, Gonzalez MC, Colizza V (2014) On the use of human mobility proxies for modeling epidemics. PLoS Comput Biol 10(7):e1003716","journal-title":"PLoS Comput Biol"},{"key":"124_CR13","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1007\/978-3-319-23461-8_21","volume-title":"Machine learning and knowledge discovery in databases","author":"Q Zhang","year":"2015","unstructured":"Zhang Q, Gioannini C, Paolotti D, Perra N, Perrotta D, Quaggiotto M, Tizzoni M, Vespignani A (2015) Social data mining and seasonal influenza forecasts: the fluoutlook platform. In: Machine learning and knowledge discovery in databases. Springer, Berlin, pp 237-240"},{"issue":"3","key":"124_CR14","doi-asserted-by":"crossref","first-page":"132","DOI":"10.1016\/j.jocs.2010.07.002","volume":"1","author":"D Balcan","year":"2010","unstructured":"Balcan D, Gon\u00e7alves B, Hu H, Ramasco JJ, Colizza V, Vespignani A (2010) Modeling the spatial spread of infectious diseases: the global epidemic and mobility computational model. J Comput Sci 1(3):132-145","journal-title":"J Comput Sci"},{"issue":"1","key":"124_CR15","doi-asserted-by":"crossref","DOI":"10.1140\/epjds\/s13688-016-0064-6","volume":"5","author":"S Centellegher","year":"2016","unstructured":"Centellegher S, De Nadai M, Caraviello M, Leonardi C, Vescovi M, Ramadian Y, Oliver N, Pianesi F, Pentland A, Antonelli F et al. (2016) The mobile territorial lab: a multilayered and dynamic view on parents\u2019 daily lives. EPJ Data Sci 5(1):1","journal-title":"EPJ Data Sci"},{"issue":"1","key":"124_CR16","doi-asserted-by":"crossref","first-page":"389","DOI":"10.1023\/A:1012487302797","volume":"46","author":"I Guyon","year":"2002","unstructured":"Guyon I, Weston J, Barnhill S, Vapnik V (2002) Gene selection for cancer classification using support vector machines. Mach Learn 46(1):389-422","journal-title":"Mach Learn"},{"key":"124_CR17","doi-asserted-by":"crossref","DOI":"10.3389\/fpubh.2015.00189","volume":"3","author":"N Oliver","year":"2015","unstructured":"Oliver N, Matic A, Frias-Martinez E Mobile network data for public health: opportunities and challenges. Front Public Health 3, 189 (2015)","journal-title":"Front Public Health"},{"key":"124_CR18","unstructured":"Kafsi M, Kazemi E, Maystre L, Yartseva L, Grossglauser M, Thiran P (2013) Mitigating epidemics through mobile micro-measures. arXiv:1307.2084"},{"key":"124_CR19","volume":"5","author":"A Lima","year":"2015","unstructured":"Lima A, Domenico MD, Pejovic V, Musolesi M Disease containment strategies based on mobility and information dissemination. Sci Rep 5, 10650 (2015)","journal-title":"Sci Rep"},{"key":"124_CR20","volume-title":"SoGood@ECML-PKDD","author":"MN Ahmed","year":"2016","unstructured":"Ahmed MN, Barlacchi G, Braghin S, Calabrese F, Ferretti M, Lonij V, Nair R, Novack R, Paraszczak J, Toor AS (2016) A\u00a0multi-scale approach to data-driven mass migration analysis. In: SoGood@ECML-PKDD"},{"issue":"1","key":"124_CR21","volume":"12","author":"H-Y Liu","year":"2013","unstructured":"Liu H-Y, Skjetne E, Kobernus M (2013) Mobile phone tracking: in support of modelling traffic-related air pollution contribution to individual exposure and its implications for public health impact assessment. Environ Health 12(1):93","journal-title":"Environ Health"},{"issue":"4","key":"124_CR22","doi-asserted-by":"crossref","first-page":"255","DOI":"10.1007\/s00779-005-0046-3","volume":"10","author":"N Eagle","year":"2006","unstructured":"Eagle N, Pentland AS (2006) Reality mining: sensing complex social systems. Pers Ubiquitous Comput 10(4):255-268","journal-title":"Pers Ubiquitous Comput"},{"key":"124_CR23","doi-asserted-by":"crossref","first-page":"239","DOI":"10.1145\/2783258.2783326","volume-title":"Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining","author":"K Fan","year":"2015","unstructured":"Fan K, Eisenberg M, Walsh A, Aiello A, Heller K (2015) Hierarchical graph-coupled hmms for heterogeneous personalized health data. In: Proceedings of the 21th ACM SIGKDD international conference on knowledge discovery and data mining. ACM, New York, pp 239-248"},{"key":"124_CR24","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1145\/2248341.2248345","volume-title":"Proceedings of the 2nd ACM international workshop on pervasive wireless healthcare","author":"M Hashemian","year":"2012","unstructured":"Hashemian M, Knowles D, Calver J, Qian W, Bullock MC, Bell S, Mandryk RL, Osgood N, Stanley KG (2012) iepi: an end to end solution for collecting, conditioning and utilizing epidemiologically relevant data. In: Proceedings of the 2nd ACM international workshop on pervasive wireless healthcare. ACM, New York, pp 3-8"},{"key":"124_CR25","doi-asserted-by":"crossref","first-page":"200","DOI":"10.1007\/978-3-642-24279-3_21","volume-title":"International and interdisciplinary conference on modeling and using context","author":"A Matic","year":"2011","unstructured":"Matic A, Osmani V, Popleteev A, Mayora-Ibarra O (2011) Smart phone sensing to examine effects of social interactions and non-sedentary work time on mood changes. In: International and interdisciplinary conference on modeling and using context. Springer, Berlin, pp 200-213"},{"key":"124_CR26","first-page":"38","volume-title":"Proceedings of the 5th augmented human international conference","author":"A Gruenerbl","year":"2014","unstructured":"Gruenerbl A, Osmani V, Bahle G, Carrasco JC, Oehler S, Mayora O, Haring C, Lukowicz P (2014) Using smart phone mobility traces for the diagnosis of depressive and manic episodes in bipolar patients. In: Proceedings of the 5th augmented human international conference. ACM, New York, p 38"},{"key":"124_CR27","unstructured":"InfluNet: Sorveglianza Epidemiologica. http:\/\/www.iss.it\/flue\/"},{"issue":"1","key":"124_CR28","doi-asserted-by":"crossref","first-page":"126","DOI":"10.1016\/j.datak.2007.10.008","volume":"65","author":"S Spaccapietra","year":"2008","unstructured":"Spaccapietra S, Parent C, Damiani ML, de Macedo JA, Porto F, Vangenot C (2008) A conceptual view on trajectories. Data Knowl Eng 65(1):126-146","journal-title":"Data Knowl Eng"},{"key":"124_CR29","unstructured":"World Health Organization (WHO), WHO surveillance case definitions for ILI and SARI 2014. http:\/\/www.who.int\/influenza\/surveillance\/"},{"key":"124_CR30","unstructured":"European Center for Disease Prevention and Control. Influenza case definitions. http:\/\/ecdc.europa.eu\/en\/healthtopics\/influenza\/surveillance\/Pages\/"},{"issue":"1","key":"124_CR31","doi-asserted-by":"crossref","DOI":"10.1140\/epjds\/s13688-015-0061-1","volume":"4","author":"F Tsapeli","year":"2015","unstructured":"Tsapeli F, Musolesi M (2015) Investigating causality in human behavior from smartphone sensor data: a quasi-experimental approach. EPJ Data Sci 4(1):1","journal-title":"EPJ Data Sci"},{"issue":"2","key":"124_CR32","doi-asserted-by":"crossref","DOI":"10.1145\/2655691","volume":"47","author":"F Calabrese","year":"2015","unstructured":"Calabrese F, Ferrari L, Blondel VD (2015) Urban sensing using mobile phone network data: a survey of research. ACM Comput Surv (CSUR) 47(2):25","journal-title":"ACM Comput Surv (CSUR)"},{"issue":"5981","key":"124_CR33","doi-asserted-by":"crossref","first-page":"1029","DOI":"10.1126\/science.1186605","volume":"328","author":"N Eagle","year":"2010","unstructured":"Eagle N, Macy M, Claxton R (2010) Network diversity and economic development. Science 328(5981):1029-1031","journal-title":"Science"},{"issue":"2","key":"124_CR34","doi-asserted-by":"crossref","first-page":"215","DOI":"10.1111\/j.2517-6161.1958.tb00292.x","volume":"20","author":"DR Cox","year":"1958","unstructured":"Cox DR (1958) The regression analysis of binary sequences (with discussion). J R Stat Soc, Ser B, Methodol 20(2):215-242","journal-title":"J R Stat Soc, Ser B, Methodol"},{"issue":"1","key":"124_CR35","doi-asserted-by":"crossref","first-page":"5","DOI":"10.1023\/A:1010933404324","volume":"45","author":"L Breiman","year":"2001","unstructured":"Breiman L (2001) Random forests. Mach Learn 45(1):5-32","journal-title":"Mach Learn"},{"key":"124_CR36","doi-asserted-by":"crossref","DOI":"10.7551\/mitpress\/8291.001.0001","volume-title":"Boosting: foundations and algorithms","author":"RE Shapire","year":"2012","unstructured":"Shapire RE, Freund Y (2012) Boosting: foundations and algorithms. MIT Press, Cambridge"},{"key":"124_CR37","first-page":"2825","volume":"12","author":"F Pedregosa","year":"2011","unstructured":"Pedregosa F, Varoquaux G, Gramfort A, Michel V, Thirion B, Grisel O, Blondel M, Prettenhofer P, Weiss R, Dubourg V, Vanderplas J, Passos A, Cournapeau D, Brucher M, Perrot M, Duchesnay E (2011) Scikit-learn: machine learning in Python. J Mach Learn Res 12:2825-2830","journal-title":"J Mach Learn Res"}],"container-title":["EPJ Data Science"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1140\/epjds\/s13688-017-0124-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1140\/epjds\/s13688-017-0124-6\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1140\/epjds\/s13688-017-0124-6.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T00:16:42Z","timestamp":1719533802000},"score":1,"resource":{"primary":{"URL":"http:\/\/epjdatascience.springeropen.com\/articles\/10.1140\/epjds\/s13688-017-0124-6"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2017,10,24]]},"references-count":37,"journal-issue":{"issue":"1","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["124"],"URL":"https:\/\/doi.org\/10.1140\/epjds\/s13688-017-0124-6","relation":{},"ISSN":["2193-1127"],"issn-type":[{"value":"2193-1127","type":"electronic"}],"subject":[],"published":{"date-parts":[[2017,10,24]]},"article-number":"27"}}