Bayesian outbreak detection algorithm for monitoring reported cases of campylobacteriosis in Germany

DOI10.1002/BIMJ.201200141zbMath1441.62432OpenAlexW1544114019WikidataQ42266629 ScholiaQ42266629MaRDI QIDQ2857479

Michael Höhle, Juliane Manitz

Publication date: 4 November 2013

Published in: Biometrical Journal (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/bimj.201200141

zbMATH Keywords

surveillanceBayesian modelINLAcampylobacter enteritisoutbreak detection

Mathematics Subject Classification ID

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

Related Items (4)

Bayesian outbreak detection in the presence of reporting delays ⋮ Modelling interventions in INGARCH processes ⋮ Bayesian modelling of nonlinear negative binomial integer-valued GARCHX models ⋮ Calibration tests for count data

Uses Software

• GMRFLib
• INLA
• SurvStat@RKI
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• Unnamed Item

Cites Work

• Count data regression charts for the monitoring of surveillance time series
• Direct fitting of dynamic models using integrated nested Laplace approximations -- INLA
• Surveillance: An R package for the monitoring of infectious diseases
• Estimation and extrapolation of time trends in registry data -- borrowing strength from related populations
• Approximate Bayesian Inference for Latent Gaussian models by using Integrated Nested Laplace Approximations
• Gaussian Markov Random Fields
• A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease
• Asymptotic Optimality of Change-Point Detection Schemes in General Continuous-Time Models

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