English
Estimating parameters in the initial phase of an epidemic
Post-edited
Auteurs : Scalia Tomba, Gianpaolo (Auteur de la conférence)
CIRM (Editeur )
62P10 - Applications of statistics to biology and medical sciences
92B05 - General biology and biomathematics
92B15 - General biostatistics, See also {62P10}
CIRM (Editeur )
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| bias because of exponential growth estimating R0 bias in RO < biased generation time multiple infector problem counting delayed events problem |
Résumé :
In recent years, new pandemic threats have become more and more frequent (SARS, bird flu, swine flu, Ebola, MERS, nCoV...) and analyses of data from the early spread more and more common and rapid. Particular interest is usually focused on the estimation of $ R_{0}$ and various methods, essentially based estimates of exponential growth rate and generation time distribution, have been proposed. Other parameters, such as fatality rate, are also of interest. In this talk, various sources of bias arising because observations are made in the early phase of spread will be discussed and also possible remedies proposed.
Mots-Clés : Mathematical models; infectious diseases; statistics
Codes MSC : Mots-Clés : Mathematical models; infectious diseases; statistics
62P10 - Applications of statistics to biology and medical sciences
92B05 - General biology and biomathematics
92B15 - General biostatistics, See also {62P10}
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Informations sur la Vidéo
Réalisateur : Hennenfent, GuillaumeLangue : Anglais Date de Publication : 03/03/2020 Date de Captation : 19/02/2020 Sous Collection : Research talks Catégorie arXiv : Statistics Theory Domaine(s) : Probabilités & Statistiques ; Mathématiques pour les Sciences & Technologies Format : MP4 (.mp4) - HD Durée : 00:25:42 Audience : Chercheurs Download : https://videos.cirm-math.fr/2020-02-17_Tomba.mp4 
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Informations sur la Rencontre
Nom de la Rencontre : Thematic Month Week 3: Mathematical Modeling and Statistical Analysis of Infectious Disease Outbreaks / Mois thématique Semaine 3 : Modélisation mathématique et analyses statistique des épidémies de maladies infectieusesOrganisateurs de la Rencontre : Britton, Tom ; Forien, Raphaël ; Hubert, Florence ; Pardoux, Etienne Dates : 17/02/2020 - 21/02/2020 Année de la rencontre : 2020 URL de la Rencontre : https://conferences.cirm-math.fr/2303.html
Données de citation
DOI : 10.24350/CIRM.V.19612903Citer cette vidéo: Scalia Tomba, Gianpaolo (2020). Estimating parameters in the initial phase of an epidemic. CIRM. Audiovisual resource. doi:10.24350/CIRM.V.19612903 URI : http://dx.doi.org/10.24350/CIRM.V.19612903 |
Voir Aussi
- [Multi angle] Interview at Cirm: Julia GOG / Personne interviewée Gog, julia.
- [Multi angle] Interview at Cirm: Tom Britton / Personne interviewée Britton, Tom.
- [Multi angle] Near-criticality in mathematical models of epidemics / Auteur de la conférence Luczak, Malwina.
- [Multi angle] Evolutionary ecology of antibiotic resistance / Auteur de la conférence Lehtinen, Sonja.
- [Multi angle] Island filters for inference on metapopulation dynamics / Auteur de la conférence Ionides, Edward.
- [Multi angle] Towards reproducibility and transparency in mathematical and computational epidemiology / Auteur de la conférence Frost, Simon.
Bibliographie
- BRITTON, Tom et TOMBA, Gianpaolo Scalia. Estimation in emerging epidemics: biases and remedies Supplementary Information (SI). 2018. - https://arxiv.org/abs/1803.01688
