Surveillance: An R package for the monitoring of infectious diseases

DOI10.1007/s00180-007-0074-8zbMath1186.62004OpenAlexW2002243672MaRDI QIDQ964643

Michael Höhle

Publication date: 22 April 2010

Published in: Computational Statistics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s00180-007-0074-8

zbMATH Keywords

visualizationCUSUMhidden Markov chainsoutbreaks detection

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to statistics (62-04) Applications of statistics to biology and medical sciences; meta analysis (62P10)

Related Items (15)

Bayesian nowcasting during the STEC O104:H4 outbreak in Germany, 2011 ⋮ \textit{MAD-STEC}: a method for multiple automatic detection of space-time emerging clusters ⋮ Comparison of various statistical methods for detecting disease outbreaks ⋮ Assessing the Impact of a Movement Network on the Spatiotemporal Spread of Infectious Diseases ⋮ Count data regression charts for the monitoring of surveillance time series ⋮ A Space-Time Conditional Intensity Model for Invasive Meningococcal Disease Occurrence ⋮ Surveillance to detect emerging space-time clusters ⋮ Efficient power computation for \(r\) out of \(m\) runs rules schemes ⋮ Bayesian outbreak detection in the presence of reporting delays ⋮ Surveillance ⋮ A spatio-stochastic model for the spread of infectious diseases ⋮ Bayesian outbreak detection algorithm for monitoring reported cases of campylobacteriosis in Germany ⋮ On Some Statistical Properties of the Spatio-Temporal Product Density ⋮ Modeling seasonality in space-time infectious disease surveillance data ⋮ Prospective space-time surveillance with cumulative surfaces for geographical identification of the emerging cluster

Uses Software

• R
• maptools
• spc
• Sweave
• SurvStat@RKI

Cites Work

• Stochastic epidemic models and their statistical analysis
• On Sequential Detection of a Shift in the Probability of a Rare Event
• A statistical framework for the analysis of multivariate infectious disease surveillance counts
• A two-component model for counts of infectious diseases
• Residuals in Generalized Linear Models
• A Statistical Algorithm for the Early Detection of Outbreaks of Infectious Disease

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