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Likelihood-based estimation of continuous-time epidemic models from time-series data: application to measles transmission in London

We present a new statistical approach to analyse epidemic time-series data. A major difficulty for inference is that (i) the latent transmission process is partially observed and (ii) observed quantities are further aggregated temporally. We develop a data augmentation strategy to tackle these probl...

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Bibliografski detalji
Glavni autori: Cauchemez, Simon, Ferguson, Neil M
Format: Artigo
Jezik:Inglês
Izdano: The Royal Society 2008
Teme:
Online pristup:https://ncbi.nlm.nih.gov/pmc/articles/PMC2607466/
https://ncbi.nlm.nih.gov/pubmed/18174112
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rsif.2007.1292
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