Available at ,
Encuesta de población activa Available at ,
Travel Patterns in China, PLoS ONE, vol.439, issue.2, 2011. ,
DOI : 10.1371/journal.pone.0016364.s002
Predictability and epidemic pathways in global outbreaks of infectious diseases: the SARS case study, BMC Medicine, vol.348, issue.9, 2007. ,
DOI : 10.1056/NEJMoa030634
URL : https://hal.archives-ouvertes.fr/hal-00205099
Forecast and control of epidemics in a globalized world, Proceedings of the National Academy of Sciences, vol.101, issue.42, pp.15124-15129, 2004. ,
DOI : 10.1073/pnas.0308344101
Spread of a Novel Influenza A (H1N1) Virus via Global Airline Transportation, New England Journal of Medicine, vol.361, issue.2, pp.212-214, 2009. ,
DOI : 10.1056/NEJMc0904559
Seasonal transmission potential and activity peaks of the new influenza A(H1N1): a Monte Carlo likelihood analysis based on human mobility, BMC Medicine, vol.116, issue.1, pp.45-55, 2009. ,
DOI : 10.1289/ehp.11310
URL : https://hal.archives-ouvertes.fr/hal-00421835
Synchrony, Waves, and Spatial Hierarchies in the Spread of Influenza, Science, vol.312, issue.5772, pp.447-451, 2006. ,
DOI : 10.1126/science.1125237
Commuter Mobility and the Spread of Infectious Diseases: Application to Influenza in France, PLoS ONE, vol.170, issue.1, 2014. ,
DOI : 10.1371/journal.pone.0083002.g007
URL : https://hal.archives-ouvertes.fr/hal-01345059
Multiscale mobility networks and the spatial spreading of infectious diseases, Proceedings of the National Academy of Sciences, vol.106, issue.51, pp.21484-21489, 2009. ,
DOI : 10.1073/pnas.0906910106
Mitigation Measures for Pandemic Influenza in Italy: An Individual Based Model Considering Different Scenarios, PLoS ONE, vol.2, issue.1, 2008. ,
DOI : 10.1371/journal.pone.0001790.s016
Strategies for containing an emerging influenza pandemic in Southeast Asia, Nature, vol.7, issue.7056, pp.209-214, 2005. ,
DOI : 10.1002/sim.1912
Modelling Transport, Fourth Edition, 2001. ,
A universal model for mobility and migration patterns, Nature, vol.104, issue.7392, pp.96-100, 2012. ,
DOI : 10.1038/nature10856
Evaluating the Adequacy of Gravity Models as a Description of Human Mobility for Epidemic Modelling, PLoS Computational Biology, vol.8, issue.10, 2012. ,
DOI : 10.1371/journal.pcbi.1002699.s002
The role of population heterogeneity and human mobility in the spread of pandemic influenza, Proceedings of the Royal Society B: Biological Sciences, vol.312, issue.5772, pp.557-565, 1681. ,
DOI : 10.1126/science.1125237
Understanding individual human mobility patterns, Nature, vol.89, issue.7196, pp.779-782, 2008. ,
DOI : 10.1038/nature06958
Limits of Predictability in Human Mobility, Science, vol.327, issue.5968, pp.1018-1021, 2010. ,
DOI : 10.1126/science.1177170
Modelling the scaling properties of human mobility, Nature Physics, vol.42, issue.10, pp.818-823, 2010. ,
DOI : 10.1007/s10745-006-9083-4
Quantifying the Impact of Human Mobility on Malaria, Science, vol.338, issue.6104, pp.267-270, 2012. ,
DOI : 10.1126/science.1223467
Improved Response to Disasters and Outbreaks by Tracking Population Movements with Mobile Phone Network Data: A Post-Earthquake Geospatial Study in Haiti, PLoS Medicine, vol.316, issue.8, p.1001083, 2011. ,
DOI : 10.1371/journal.pmed.1001083.s001
The use of mobile phone data for the estimation of the travel patterns and imported Plasmodium falciparum rates among Zanzibar residents, Malaria Journal, vol.8, issue.1, p.287, 2009. ,
DOI : 10.1186/1475-2875-8-287
Travel risk, malaria importation and malaria transmission in Zanzibar, Scientific Reports, vol.8, issue.1, p.93, 2011. ,
DOI : 10.1186/1475-2875-8-87
Predictability of population displacement after the 2010 Haiti earthquake, Proceedings of the National Academy of Sciences, vol.109, issue.29, pp.11576-81, 2012. ,
DOI : 10.1073/pnas.1203882109
Exploiting Cellular Data for Disease Containment and Information Campaigns Strategies in Country-Wide Epidemics, Third International Conference on the Analysis of Mobile Phone Datasets (NETMOB'13), 2013. ,
Heterogeneous Mobile Phone Ownership and Usage Patterns in Kenya, PLoS ONE, vol.378, issue.4, 2012. ,
DOI : 10.1371/journal.pone.0035319.s008
Divided We Call: Disparities in Access and Use of Mobile Phones in Rwanda, Information Technology and International Development, vol.8, issue.2, pp.1-16, 2012. ,
Unique in the Crowd: The privacy bounds of human mobility, Scientific Reports, vol.23, 2013. ,
DOI : 10.1038/srep01376
Measles on the Edge: Coastal Heterogeneities and Infection Dynamics, PLoS ONE, vol.451, issue.4, 2008. ,
DOI : 10.1371/journal.pone.0001941.s003
Interplay between Telecommunications and Face-to-Face Interactions: A Study Using Mobile Phone Data, PLoS ONE, vol.18, issue.7, 2011. ,
DOI : 10.1371/journal.pone.0020814.s005
Socio-Geography of Human Mobility: A Study Using Longitudinal Mobile Phone Data, PLoS ONE, vol.33, issue.6, 2012. ,
DOI : 10.1371/journal.pone.0039253.s010
Weather Effects on Mobile Social Interactions: A Case Study of Mobile Phone Users in Lisbon, Portugal, PLoS ONE, vol.7, issue.10, 2012. ,
DOI : 10.1371/journal.pone.0045745.t001
Delineating Geographical Regions with Networks of Human Interactions in an Extensive Set of Countries, PLoS ONE, vol.69, issue.6, 2013. ,
DOI : 10.1371/journal.pone.0081707.s001
Unravelling daily human mobility motifs, Journal of The Royal Society Interface, vol.10, issue.3, 2013. ,
DOI : 10.1186/1471-2334-10-190
Gravity versus radiation models: On the importance of scale and heterogeneity in commuting flows, Physical Review E, vol.88, issue.2, p.22812, 2013. ,
DOI : 10.1103/PhysRevE.88.022812
Metapopulation Biology, 1997. ,
DOI : 10.1016/B978-012323448-3/50003-9
Modeling infectious diseases in humans and animals, 2008. ,
The role of routine versus random movements on the spread of disease in Great Britain, Epidemics, vol.1, issue.4, pp.250-258, 2009. ,
DOI : 10.1016/j.epidem.2009.11.002
Containing Pandemic Influenza with Antiviral Agents, American Journal of Epidemiology, vol.159, issue.7, pp.623-633, 2004. ,
DOI : 10.1093/aje/kwh092
Containing Pandemic Influenza at the Source, Science, vol.309, issue.5737, pp.1083-1087, 2005. ,
DOI : 10.1126/science.1115717
Pandemic Potential of a Strain of Influenza A (H1N1): Early Findings, Science, vol.324, issue.5934, p.1557, 2009. ,
DOI : 10.1126/science.1176062
Lessons from pandemic influenza A(H1N1): The research-based vaccine industry's perspective, Vaccine, vol.29, issue.6, pp.1135-1138, 2011. ,
DOI : 10.1016/j.vaccine.2010.11.042
Modelling the influence of human behaviour on the spread of infectious diseases: a review, Journal of The Royal Society Interface, vol.4, issue.50, pp.1247-1256, 2010. ,
DOI : 10.1007/s10867-008-9060-9
Modeling human mobility responses to the large-scale spreading of infectious diseases, Scientific Reports, vol.102, issue.1, 2011. ,
DOI : 10.1073/pnas.0407994102
The Role of Human Movement in the Transmission of Vector-Borne Pathogens, PLoS Neglected Tropical Diseases, vol.82, issue.6, 2009. ,
DOI : 10.1371/journal.pntd.0000481.s002
Usefulness of commercially available GPS data-loggers for tracking human movement and exposure to dengue virus, International Journal of Health Geographics, vol.8, issue.1, pp.68-78, 2009. ,
DOI : 10.1186/1476-072X-8-68
Explaining Seasonal Fluctuations of Measles in Niger Using Nighttime Lights Imagery, Science, vol.334, issue.6061, pp.1424-1427, 2011. ,
DOI : 10.1126/science.1210554
Approaching the Limit of Predictability in Human Mobility, Scientific Reports, vol.453, 2013. ,
DOI : 10.1038/srep02923
Human mobility patterns predict divergent epidemic dynamics among cities, Proceedings of the Royal Society B: Biological Sciences, vol.10, issue.3, pp.1471-2954, 1766. ,
DOI : 10.1371/journal.pcbi.1002425
URL : http://www.ncbi.nlm.nih.gov/pmc/articles/PMC3730584
Real-time numerical forecast of global epidemic spreading: case study of 2009 A/H1N1pdm, BMC Medicine, vol.7, issue.1, p.165, 2012. ,
DOI : 10.1023/B:HCMS.0000020652.38181.da
URL : https://hal.archives-ouvertes.fr/inserm-00796005
Underestimating the effects of spatial heterogeneity due to individual movement and spatial scale: infectious disease as an example, Landscape Ecology, vol.78, issue.4, pp.247-257, 2012. ,
DOI : 10.1007/s10980-012-9830-4
Identifying Important Places in People???s Lives from Cellular Network Data, Pervasive Computing, 9th International Conference Proceedings, pp.133-151, 2011. ,
DOI : 10.1007/978-3-642-21726-5_9
Exploring the mobility of mobile phone users, Physica A: Statistical Mechanics and its Applications, vol.392, issue.6, p.1459, 2013. ,
DOI : 10.1016/j.physa.2012.11.040
Prediction of Socioeconomic Levels Using Cell Phone Records, User Modeling, Adaption and Personalization. 19th International Conference UMAP Proceedings, pp.377-388, 2011. ,
DOI : 10.1002/asi.20477
The impact of biases in mobile phone ownership on estimates of human mobility, Journal of The Royal Society Interface, vol.28, issue.6, p.20120986, 2013. ,
DOI : 10.1073/pnas.1203882109
Discrete Multivariate Analysis: Theory and Practice, 1975. ,
Scientific Report on the Mobility of Cross-Border Workers within the EU-27/EEA/EFTA Countries. Final report to the European Commission Available at, 2009. ,
Rural-urban gradient in seasonal forcing of measles transmission in Niger, Proceedings of the Royal Society B: Biological Sciences, vol.34, issue.3, pp.2775-2782, 2010. ,
DOI : 10.1093/ije/dyi001
New Strategies for the Elimination of Polio from India, Science, vol.314, issue.5802, pp.1150-1153, 2006. ,
DOI : 10.1126/science.1130388
Human Infection with a Novel Avian-Origin Influenza A (H7N9) Virus, New England Journal of Medicine, vol.368, issue.20, pp.1888-97, 2013. ,
DOI : 10.1056/NEJMoa1304459
URL : https://hal.archives-ouvertes.fr/pasteur-00823211
Detection of a novel human coronavirus by real-time reverse-transcription polymerase chain reaction, Euro Surveill, vol.217, p.20285, 2012. ,
Assessment of the MERS-CoV epidemic situation in the Middle East region, 2014. ,