A. Khan and N. Lurie, Health security in 2014: building on preparedness knowledge for emerging health threats, The Lancet, vol.384, issue.9937, pp.93-100, 2014.
DOI : 10.1016/S0140-6736(14)60260-9

S. Coles, An introduction to statistical modeling of extreme values, 2001.
DOI : 10.1007/978-1-4471-3675-0

R. Katz, M. Parlange, and P. Naveau, Statistics of extremes in hydrology, Advances in Water Resources, vol.25, issue.8-12, pp.8-121287, 2002.
DOI : 10.1016/S0309-1708(02)00056-8

P. Embrechts, C. Klüppelberg, and T. Mikosch, Modelling of extremal events in insurance and finance, ZOR Zeitschrift f???r Operations Research Mathematical Methods of Operations Research, vol.73, issue.1, 1997.
DOI : 10.1007/BF01440733

H. Lee and H. Wackernagel, Extreme values analyses of US P&I mortality data under consideration of demographic effects, 2007071113.

A. Guillou, M. Kratz, L. Strat, and Y. , An extreme value theory approach for the early detection of time clusters. A simulation-based assessment and an illustration to the surveillance of Salmonella, pp.5015-5042, 2014.
URL : https://hal.archives-ouvertes.fr/hal-01311727

J. Chen, X. Lei, L. Zhang, and B. Peng, Using Extreme Value Theory Approaches to Forecast the Probability of Outbreak of Highly Pathogenic Influenza in Zhejiang, China, PLOS ONE, vol.38, issue.1, p.25710503, 2015.
DOI : 10.1371/journal.pone.0118521.t001

L. De-haan, Fighting the arch???enemy with mathematics???, Statistica Neerlandica, vol.54, issue.67, pp.45-68, 1990.
DOI : 10.2307/2336591

L. Simonsen, M. Clarke, G. Williamson, D. Stroup, N. Arden et al., The impact of influenza epidemics on mortality: introducing a severity index., American Journal of Public Health, vol.87, issue.12, pp.1944-50, 1997.
DOI : 10.2105/AJPH.87.12.1944

L. Josseran, J. Nicolau, N. Caillere, P. Astagneau, and G. Brucker, Syndromic surveillance based on emergency department activity and crude mortality: two examples, Euro surveillance, vol.11, issue.12, pp.225-234, 2006.