An empirically adjusted approach to reproductive number estimation for stochastic compartmental models: A case study of two Ebola outbreaks

DOI10.1111/BIOM.12432zbMath1418.92160OpenAlexW2174728103WikidataQ40130763 ScholiaQ40130763MaRDI QIDQ5739255

Grant D. Brown, Jacob J. Oleson, Aaron T. Porter

Publication date: 15 July 2016

Published in: Biometrics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1111/biom.12432

zbMATH Keywords

model selectionunderspecificationspatial epidemiologydisease modelingepidemic predictionspatial SEIR

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (3)

Bayesian compartmental model for an infectious disease with dynamic states of infection ⋮ Incorporating infectious duration‐dependent transmission into Bayesian epidemic models ⋮ Modelling the reproductive power function

Uses Software

• GitHub
• libspatialSEIR
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Cites Work

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• Inference from iterative simulation using multiple sequences
• A structured epidemic model incorporating geographic mobility among regions
• The implications of network structure for epidemic dynamics
• The Mathematics of Infectious Diseases
• The basic reproduction number in some discrete-time epidemic models
• Statistical Inference in a Stochastic Epidemic SEIR Model with Control Intervention: Ebola as a Case Study

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