Know more

‌

About cookies

What is a "cookie"?

A "cookie" is a piece of information, usually small and identified by a name, which may be sent to your browser by a website you are visiting. Your web browser will store it for a period of time, and send it back to the web server each time you log on again.

Different types of cookies are placed on the sites:

  • Cookies strictly necessary for the proper functioning of the site
  • Cookies deposited by third party sites to improve the interactivity of the site, to collect statistics

Learn more about cookies and how they work

The different types of cookies used on this site

Cookies strictly necessary for the site to function

These cookies allow the main services of the site to function optimally. You can technically block them using your browser settings but your experience on the site may be degraded.

Furthermore, you have the possibility of opposing the use of audience measurement tracers strictly necessary for the functioning and current administration of the website in the cookie management window accessible via the link located in the footer of the site.

Technical cookies

Name of the cookie

Purpose

Shelf life

CAS and PHP session cookies

Login credentials, session security

Session

Tarteaucitron

Saving your cookie consent choices

12 months

Audience measurement cookies (AT Internet)

Name of the cookie

Purpose

Shelf life

atid

Trace the visitor's route in order to establish visit statistics.

13 months

atuserid

Store the anonymous ID of the visitor who starts the first time he visits the site

13 months

atidvisitor

Identify the numbers (unique identifiers of a site) seen by the visitor and store the visitor's identifiers.

13 months

About the AT Internet audience measurement tool :

AT Internet's audience measurement tool Analytics is deployed on this site in order to obtain information on visitors' navigation and to improve its use.

The French data protection authority (CNIL) has granted an exemption to AT Internet's Web Analytics cookie. This tool is thus exempt from the collection of the Internet user's consent with regard to the deposit of analytics cookies. However, you can refuse the deposit of these cookies via the cookie management panel.

Good to know:

  • The data collected are not cross-checked with other processing operations
  • The deposited cookie is only used to produce anonymous statistics
  • The cookie does not allow the user's navigation on other sites to be tracked.

Third party cookies to improve the interactivity of the site

This site relies on certain services provided by third parties which allow :

  • to offer interactive content;
  • improve usability and facilitate the sharing of content on social networks;
  • view videos and animated presentations directly on our website;
  • protect form entries from robots;
  • monitor the performance of the site.

These third parties will collect and use your browsing data for their own purposes.

How to accept or reject cookies

When you start browsing an eZpublish site, the appearance of the "cookies" banner allows you to accept or refuse all the cookies we use. This banner will be displayed as long as you have not made a choice, even if you are browsing on another page of the site.

You can change your choices at any time by clicking on the "Cookie Management" link.

You can manage these cookies in your browser. Here are the procedures to follow: Firefox; Chrome; Explorer; Safari; Opera

For more information about the cookies we use, you can contact INRAE's Data Protection Officer by email at cil-dpo@inrae.fr or by post at :

INRAE

24, chemin de Borde Rouge -Auzeville - CS52627 31326 Castanet Tolosan cedex - France

Last update: May 2021

Menu Logo Principal

Home page

MIHMES Members Publications MIA-Jouy

MIA-Jouy publications

Recent publications of MIA-Jouy, in line with MIHMES.
  • Ballesteros S., Vergu E., Cazelles B. 2009. Influenza A gradual and epochal evolution: Insights from simple models. PLos ONE, 4, e7426. DOI: 10.1371/journal.pone.0007426.
  • Bidot C., Gauchi J.-P., Vila J.-P. 2009. Programmation MATLAB : du filtrage non linéaire par convolution de particules pour l'identification et l'estimation d'un système dynamique microbiologique. Rapport technique 2009-3, INRA, UR341 Mathématiques et Informatique Appliquées (F-78350 Jouy-en-Josas, France).
  • Boëlle P.-Y., Thomas G., Vergu E., Renault P., Valleron A.-J., Flahault A. 2008. Investigating transmission in a two-wave epidemic of Chikungunya fever, réunion island. Vector Borne Zoonotic Dis., 8, 207-217. DOI: 10.1089/vbz.2006.0620.
  • Courcoul A. 2010. Modélisation de la propagation de Coxiella burnetii en troupeau bovin laitier. Thèse de Doctorat, Université Rennes 1 (France). Mention : Biologie. Directeur : F. Beaudeau ; co-encadrante : E. Vergu.
  • Courcoul A., Vergu E., Denis J.-B., Beaudeau F. 2010. Spread of Q fever within dairy cattle herd: key parameters inferred using a bayesian approach. Proc. R. Soc. B, 277, 2857-2865. DOI: 10.1098/rspb.2010.0575.
  • Flahault A., Boëlle P.-Y., Vergu E. 2009. Potential for a global dynamic of influenza A (H1N1). BMC Infect. Dis., 9, 129. DOI: 10.1186/1471-2334-9-129.
  • Flahault A., Vergu E., Coudeville L., Grais R. F. 2006. Strategies for containing a global influenza pandemic. Vaccine, 24, 6751-6755. DOI: 10.1016/j.vaccine.2006.05.079.
  • Gaucel S., Laroche B., Ezanno P., Vergu E., Touzeau S. 2009. Using singular perturbations to reduce an epidemiological model: application to bovine viral diarrhoea virus within-herd spread. J. Theor. Biol., 258, 426-436. DOI: 10.1016/j.jtbi.2008.08.011.
  • Gubbins S., Touzeau S., Hagenaars T. J. 2010. The role of mathematical modelling in understanding the epidemiology and control of sheep transmissible spongiform encephalopathies: a review. Vet. Res., 41, 42. DOI: 10.1051/vetres/2010014.
  • Jacob C., Maillard L., Denis J.-B., Bidot C. 2008. Stochastic modelling of the incidence of clinical cases of a rare fatal SEI disease in a large branching population structured in ages. Example of the BSE epidemic in Great-Britain. Rapport technique 2008-5, INRA, UR341 Mathématiques et Informatique Appliquées (F-78350 Jouy-en-Josas, France).
  • Kernéis S., F. Grais R., Boëlle P.-Y., Flahault A., Vergu E. 2008. Does the effectiveness of control measures depend on the influenza pandemic profile? PLos ONE, 3, e1478. DOI: 10.1371/journal.pone.0001478.
  • Le Menac'h A., Vergu E., Grais R. F., Smith D. L., Flahault A. 2006. Key strategies for reducing transmission during avian influenza epidemics: lessons for control of human avian influenza. Proc. R. Soc. B, 273, 2467-2475. DOI: 10.1098/rspb.2006.3609.
  • Lurette A. 2007. Modélisation pour l'évaluation de mesures de maîtrise du portage de salmonelles chez le porc charcutier. Thèse de Doctorat, Université Rennes 1 (France). Mention : Biologie. Directeur : H. Seegers; co-encadrants : C. Belloc, S. Touzeau, T. Hoch, C. Fourichon.
  • Lurette A., Belloc C., Touzeau S., Hoch T., Ezanno P., Seegers H., Fourichon C. 2008b. Modelling Salmonella spread within a farrow-to-finish pig herd. Vet. Res., 39, 49. DOI: 10.1051/vetres:2008026.
  • Lurette A., Belloc C., Touzeau S., Hoch T., Seegers H., Fourichon C. 2008a. Modelling batch farrowing management within a farrow-to-finish pig herd: influence of management on contact structure and pig delivery to the slaughterhouse. Animal, 2, 105-116. DOI: 10.1017/S1751731107000997.
  • Lurette A., Belloc C., Touzeau S., Hoch T., Seegers H., Fourichon C. 2007. Influence de l'efficacité de la décontamination des salles d'élevage sur la prévalence de portage de Salmonella dans les lots de porcs charcutiers issus d'un troupeau naisseur-engraisseur. Épidémiol. et Santé Animale, 52, 41-48.
  • Lurette A., Touzeau S., Lamboni M., Monod H. 2009. Sensitivity analysis to identify key parameters influencing Salmonella infection dynamics in a pig batch. J. Theor. Biol., 258, 43-52. DOI: 10.1016/j.jtbi.2009.01.026.
  • Perasso A., Laroche B., Chitour Y., Touzeau S. 2011. Identifiability analysis of an epidemiological model in a structured population. J. Math. Anal. Appl., 374, 154-165. DOI: 10.1016/j.jmaa.2010.08.072.
  • Schaeffer B., Mondet B., Touzeau S. 2008. Using a climate dependent matrix model to predict mosquito abundance: application to Aedes (Stegomyia) africanus and Aedes (Diceromyia) furcifer (Diptera: Culicidae). Infect. Genet. Evol., 8, 422-432. DOI: 10.1016/j.meegid.2007.07.002.
  • Touzeau S., Chase-Topping M. E., Matthews L., Lajous D., Eychenne F., Hunter N., Foster J. D., Simm G., Elsen J.-M., Woolhouse M. E. J. 2006. Modelling the spread of scrapie in a sheep flock: evidence for increased transmission during lambing seasons. Arch. Virol., 151, 735-751. DOI: 10.1007/s00705-005-0666-y.
  • Vergu E., Busson H., Ezanno P. 2010. Impact of the infection period distribution on the epidemic spread in a metapopulation model. PLos ONE, 5, e9371. DOI: 10.1371/journal.pone.0009371.
  • Ziyadi N., Boulite S., Hbid M. L., Touzeau S. 2008. Mathematical analysis of a PDE epidemiological model applied to scrapie transmission. Comm. Pure Appl. Anal., 7, 659-675. DOI: 10.3934/cpaa.2008.7.659.
  • Ziyadi N., Touzeau S., Bidot C., Treuil J.-P., Hbid M. L. 2008. Modèle individu-centré de transmission de la tremblante dans un troupeau ovin. Rapport technique 2008-4, INRA, UR341 Mathématiques et Informatique Appliquées (F-78350 Jouy-en-Josas, France).