Detecting disease outbreaks using a combined Bayesian network and particle filter approach

DOI10.1016/j.jtbi.2015.01.023zbMath1337.92204OpenAlexW2090051506WikidataQ41379093 ScholiaQ41379093MaRDI QIDQ292228

Alaster Meehan, Ralph Gailis, Peter Dawson

Publication date: 13 June 2016

Published in: Journal of Theoretical Biology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jtbi.2015.01.023

zbMATH Keywords

epidemicsdisease surveillanceplaguesyndromic surveillance

Mathematics Subject Classification ID

Epidemiology (92D30) Applications of statistics to biology and medical sciences; meta analysis (62P10) Bayesian inference (62F15)

Related Items (1)

Lévy Backward SDE Filter for Jump Diffusion Processes and Its Applications in Material Sciences

Uses Software

• EMpht

Cites Work

• Monitoring and prediction of an epidemic outbreak using syndromic observations
• Model-consistent estimation of the basic reproduction number from the incidence of an emerging infection
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