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Estimating parameters in the initial phase of an epidemic
Post-edited
Authors : Scalia Tomba, Gianpaolo (Author of the conference)
CIRM (Publisher )
62P10 - Applications of statistics to biology and medical sciences
92B05 - General biology and biomathematics
92B15 - General biostatistics, See also {62P10}
CIRM (Publisher )
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| bias because of exponential growth estimating R0 bias in RO < biased generation time multiple infector problem counting delayed events problem |
Abstract :
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.
Keywords : Mathematical models; infectious diseases; statistics
MSC Codes : Keywords : 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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Information on the Video
Film maker : Hennenfent, GuillaumeLanguage : English Available date : 03/03/2020 Conference Date : 19/02/2020 Subseries : Research talks arXiv category : Statistics Theory Mathematical Area(s) : Probability & Statistics ; Mathematics in Science & Technology Format : MP4 (.mp4) - HD Video Time : 00:25:42 Targeted Audience : Researchers Download : https://videos.cirm-math.fr/2020-02-17_Tomba.mp4 
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Information on the Event
Event Title : 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 infectieusesEvent Organizers : Britton, Tom ; Forien, Raphaël ; Hubert, Florence ; Pardoux, Etienne Dates : 17/02/2020 - 21/02/2020 Event Year : 2020 Event URL : https://conferences.cirm-math.fr/2303.html
Citation Data
DOI : 10.24350/CIRM.V.19612903Cite this video as: 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 |
See Also
- [Multi angle] Interview at Cirm: Julia GOG / Interviewee Gog, julia.
- [Multi angle] Interview at Cirm: Tom Britton / Interviewee Britton, Tom.
- [Multi angle] Near-criticality in mathematical models of epidemics / Author of the conference Luczak, Malwina.
- [Multi angle] Evolutionary ecology of antibiotic resistance / Author of the conference Lehtinen, Sonja.
- [Multi angle] Island filters for inference on metapopulation dynamics / Author of the conference Ionides, Edward.
- [Multi angle] Towards reproducibility and transparency in mathematical and computational epidemiology / Author of the conference Frost, Simon.
Bibliography
- BRITTON, Tom et TOMBA, Gianpaolo Scalia. Estimation in emerging epidemics: biases and remedies Supplementary Information (SI). 2018. - https://arxiv.org/abs/1803.01688
