Temporal and Spatio-Temporal Modeling and Monitoring of Epidemic Phenomena

Vignettes

- algo.glrnb: Count data regression charts using the generalized likelihood ratio statistic
- Getting started with outbreak detection
- hhh4: An endemic-epidemic modelling framework for infectious disease counts
- hhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time series
- Monitoring count time series in R: Aberration detection in public health surveillance
- twinSIR: Individual-level epidemic modeling for a fixed population with known distances
- twinstim: An endemic-epidemic modeling framework for spatio-temporal point patterns

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**epidata:**Continuous-Time SIR Event History of a Fixed Population**hhh4_update:**'update' a fitted '"hhh4"' model**imdepi:**Occurrence of Invasive Meningococcal Disease in Germany**inside.gpc.poly:**Test Whether Points are Inside a '"gpc.poly"' Polygon**plapply:**Verbose and Parallel 'lapply'**runifdisc:**Sample Points Uniformly on a Disc**stK:**Diggle et al (1995) K-function test for space-time clustering**Browse all...**

Popular Man pages

Description Usage Format Source Examples

Weekly counts of new influenza and meningococcal infections in Germany 2001-2006.

1 |

A `disProg`

object containing *312 x 2*
observations starting from week 1 in 2001 to week 52 in 2006.

Robert Koch-Institut: SurvStat: https://survstat.rki.de/. Queried on 25 July 2007.

1 2 |

algo.glrnb: Count data regression charts using the generalized likelihood ratio statistic
Getting started with outbreak detection
hhh4: An endemic-epidemic modelling framework for infectious disease counts
hhh4 (spatio-temporal): Endemic-epidemic modeling of areal count time series
Monitoring count time series in R: Aberration detection in public health surveillance
twinSIR: Individual-level epidemic modeling for a fixed population with known distances
twinstim: An endemic-epidemic modeling framework for spatio-temporal point patterns

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