Seasonal and pandemic influenza surveillance considerations for constructing multicomponent systems, Influenza and Other Respiratory Viruses, vol.353, issue.Suppl. 2, pp.51-58, 2009. ,
DOI : 10.3201/eid1201.050308
URL : http://onlinelibrary.wiley.com/doi/10.1111/j.1750-2659.2009.00077.x/pdf
Detecting influenza epidemics using search engine query data, Nature, vol.36, issue.7232, pp.1012-1014, 2009. ,
DOI : 10.1093/biomet/36.3-4.394
Using Google Flu Trends data in forecasting influenza-like???illness related ED visits in Omaha, Nebraska, The American Journal of Emergency Medicine, vol.32, issue.9, 2014. ,
DOI : 10.1016/j.ajem.2014.05.052
Influenza Forecasting in Human Populations: A Scoping Review, PLoS ONE, vol.141, issue.4 ,
DOI : 10.1371/journal.pone.0094130.t004
Epidemiology of Seasonal Influenza: Use of Surveillance Data and Statistical Models to Estimate the Burden of Disease, The Journal of Infectious Diseases, vol.55, issue.s2, pp.82-91, 2006. ,
DOI : 10.1097/01.inf.0000214988.81379.71
A computer network for the surveillance of communicable diseases: the French experiment., American Journal of Public Health, vol.76, issue.11, pp.76-1289, 1986. ,
DOI : 10.2105/AJPH.76.11.1289
Using Internet Searches for Influenza Surveillance, Using Internet Searches for Influenza Surveillance, pp.1443-1448, 2008. ,
DOI : 10.2196/jmir.7.3.e36
URL : https://academic.oup.com/cid/article-pdf/47/11/1443/791236/47-11-1443.pdf
Flu Near You: An Online Self-reported Influenza Surveillance System in the USA, Online Journal of Public Health Informatics, vol.5, issue.1, 2013. ,
DOI : 10.5210/ojphi.v5i1.4456
Syndromic surveillance based on emergency department activity and crude mortality: two examples, Eurosurveillance, vol.11, issue.12, pp.11-225, 2006. ,
DOI : 10.2807/esm.11.12.00668-en
URL : https://doi.org/10.2807/esm.11.12.00668-en
National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic, PLoS ONE, vol.457, issue.12 ,
DOI : 10.1371/journal.pone.0083672.g003
Accurate estimation of influenza epidemics using Google search data via ARGO, Proceedings of the National Academy of Sciences, vol.58, issue.1, pp.14473-14478, 2015. ,
DOI : 10.1111/j.1467-9868.2005.00503.x
Influenza Forecasting with Google Flu Trends, PLOS ONE, vol.8 ,
DOI : 10.5210/ojphi.v5i1.4470
URL : http://europepmc.org/articles/pmc3572967?pdf=render
Reassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic Scales, PLoS Computational Biology, vol.28, issue.29 ,
DOI : 10.1371/journal.pcbi.1003256.s014
Twitter Improves Influenza Forecasting, PLoS Currents, vol.6, 2014. ,
DOI : 10.1371/currents.outbreaks.90b9ed0f59bae4ccaa683a39865d9117
URL : https://doi.org/10.1371/currents.outbreaks.90b9ed0f59bae4ccaa683a39865d9117
National and Local Influenza Surveillance through Twitter: An Analysis of the 2012-2013 Influenza Epidemic, PLoS ONE, vol.457, issue.12 ,
DOI : 10.1371/journal.pone.0083672.g003
Wikipedia Usage Estimates Prevalence of Influenza-Like Illness in the United States in Near Real-Time, PLoS Computational Biology, vol.73, issue.4 ,
DOI : 10.1371/journal.pcbi.1003581.t002
The Parable of Google Flu: Traps in Big Data Analysis, Science, vol.20, issue.3, pp.1203-1205, 2014. ,
DOI : 10.1093/pan/mpr057
When Google got flu wrong, Nature, vol.494, issue.7436, pp.155-156, 2013. ,
DOI : 10.1038/494155a
URL : http://www.nature.com:80/polopoly_fs/1.12413!/menu/main/topColumns/topLeftColumn/pdf/494155a.pdf
Google Flu Trends: Correlation With Emergency Department Influenza Rates and Crowding Metrics, Clinical Infectious Diseases, vol.52, issue.suppl_1, pp.463-469, 2012. ,
DOI : 10.1093/cid/ciq035
URL : https://academic.oup.com/cid/article-pdf/54/4/463/1108611/cir883.pdf
Methods and dimensions of electronic health record data quality assessment: enabling reuse for clinical research, Journal of the American Medical Informatics Association, vol.14, issue.2, pp.144-151, 2013. ,
DOI : 10.1145/505248.506010
Stability metrics for multi-source biomedical data based on simplicial projections from probability distribution distances, Statistical Methods in Medical Research, vol.41, issue.1, pp.10-1177, 2014. ,
DOI : 10.1109/TPAMI.2013.50
Big data analytics in healthcare: promise and potential, Health Information Science and Systems, vol.19, issue.1, 2014. ,
DOI : 10.1002/9781119205005
URL : https://hal.archives-ouvertes.fr/hal-01663474
Characteristics Desired in Clinical Data Warehouse for Biomedical Research, Healthcare Informatics Research, vol.20, issue.2, pp.109-116, 2014. ,
DOI : 10.4258/hir.2014.20.2.109
Document Semantic Model: an experiment with patient medical records, 1997. ,
EMERSE: The Electronic Medical Record Search Engine, AMIA. Annu. Symp. Proc, p.941, 2006. ,
Integration of Clinical and Genetic Data in the i2b2 Architecture, AMIA. Annu. Symp. Proc, 2006. ,
The CLEF Chronicle: Patient Histories Derived from Electronic Health Records, 22nd International Conference on Data Engineering Workshops (ICDEW'06), pp.109-109, 2006. ,
DOI : 10.1109/ICDEW.2006.144
STRIDE ? An Integrated Standards- Based Translational Research Informatics Platform, AMIA. Annu. Symp. Proc, pp.2009-391, 2009. ,
Roogle: an information retrieval engine for clinical data warehouse, Stud, Health Technol. Inform, pp.169-584, 2011. ,
Serving the enterprise and beyond with informatics for integrating biology and the bedside (i2b2), Journal of the American Medical Informatics Association, vol.17, issue.2, pp.124-130, 2010. ,
DOI : 10.1136/jamia.2009.000893
Automated realtime data import for the i2b2 clinical data warehouse: introducing the HL7 ETL cell, Stud, Health Technol. Inform, vol.180, pp.270-274, 2012. ,
Organiser, moderniser, innover : quelles avancées pour les patients http://social-sante.gouv.fr, pp.2-5, 2015. ,
Methods for Current Statistical Analysis of Excess Pneumonia-Influenza Deaths, Public Health Reports (1896-1970), vol.78, issue.6, pp.494-506, 1963. ,
DOI : 10.2307/4591848
Online detection and quantification of epidemics, BMC Medical Informatics and Decision Making, vol.136, issue.19-20, pp.10-1186, 2007. ,
DOI : 10.1016/j.artmed.2004.11.002
R: A Language and Environment for Statistical Computing, R Foundation for Statistical Computing ,
Sex Differences in Pediatric Infectious Diseases, Journal of Infectious Diseases, vol.16, issue.1, pp.120-126, 2014. ,
DOI : 10.1159/000180265
The Shared Health Research Information Network (SHRINE): A Prototype Federated Query Tool for Clinical Data Repositories, Journal of the American Medical Informatics Association, vol.41, issue.6, pp.624-630, 2009. ,
DOI : 10.1016/j.jbi.2008.03.001