Modeling seasonality in space-time infectious disease surveillance data

DOI10.1002/bimj.201200037zbMath1253.62080OpenAlexW1515843929WikidataQ30571949 ScholiaQ30571949MaRDI QIDQ3145586

Michaela Paul, Leonhard Held

Publication date: 21 December 2012

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

Full work available at URL: https://doi.org/10.1002/bimj.201200037

zbMATH Keywords

proper scoring rulesmultivariate time series of countsspatiotemporal data

Mathematics Subject Classification ID

Related Items (13)

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Uses Software

• R
• Surveillance

Cites Work

• Unnamed Item
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• Surveillance: An R package for the monitoring of infectious diseases
• Predictive Cross-validation for the Choice of Linear Mixed-Effects Models with Application to Data from the Swiss HIV Cohort Study
• A statistical framework for the analysis of multivariate infectious disease surveillance counts
• A two-component model for counts of infectious diseases
• Modeling influenza incidence for the purpose of on-line monitoring
• Assessing the Impact of a Movement Network on the Spatiotemporal Spread of Infectious Diseases
• Branching Processes
• Strictly Proper Scoring Rules, Prediction, and Estimation
• Probabilistic Forecasts, Calibration and Sharpness
• Predictive Model Assessment for Count Data

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