Estimating epidemic parameters: application to H1N1 pandemic data

DOI10.1016/j.mbs.2015.03.007zbMath1364.92052OpenAlexW1980195169WikidataQ30373406 ScholiaQ30373406MaRDI QIDQ899423

Boseung Choi, Elissa J. Schwartz, Grzegorz A. Rempała

Publication date: 28 December 2015

Published in: Mathematical Biosciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.mbs.2015.03.007

zbMATH Keywords

parameter estimationMonte Carlo approximationstochastic SIR modelH1N1 influenza

Mathematics Subject Classification ID

Epidemiology (92D30) Computational methods for problems pertaining to biology (92-08) General considerations in statistical decision theory (62C05)

Related Items (4)

Mathematical analysis of an influenza A epidemic model with discrete delay ⋮ Network-based analysis of a small Ebola outbreak ⋮ From within host dynamics to the epidemiology of infectious disease: scientific overview and challenges ⋮ Towards inferring network properties from epidemic data

Cites Work

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• Asymptotic analysis of multiscale approximations to reaction networks
• Stochastic epidemic models and their statistical analysis
• Least squares estimation in stochastic biochemical networks
• The estimation of the effective reproductive number from disease outbreak data
• Stochastic approaches for modelling in vivo reactions
• Inference for discretely observed stochastic kinetic networks with applications to epidemic modeling
• Bayesian inference for stochastic epidemics in closed populations
• Contributions to the mathematical theory of epidemics. II. —The problem of endemicity
• Inference in Disease Transmission Experiments by Using Stochastic Epidemic Models

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