2020

• The surveillance package is part of the COVID-19 outbreak response. For example:

• The nowcast() function is used to provide situational awareness, both in Bavaria and in Berlin.

• The hhh4() modelling framework has been used in several retrospective studies of disease dynamics in Italy, England, Germany, and Africa (country-level)

2019

• The Handbook of Infectious Disease Data Analysis features the surveillance package in several chapters of Part V (“Analysis of Surveillance Data”):

• twinstim() is mentioned in Chapter 20 on “Applications of Point Process Methods” by Peter J. Diggle.

• The ?imdepi data is used to illustrate prospective outbreak detection methods, such as earsC(), farrington()/farringtonFlexible(), and stcd(), in Chapter 21 by Benjamin Allévius and Michael Höhle (see replication code).

• bodaDelay() is mentioned in Chapter 22 on “Underreporting and Reporting Delays” by Angela Noufaily.

• hhh4() is discussed and applied with a focus on

• The paper Endemic-epidemic models with discrete-time serial interval distributions for infectious disease prediction describes an extension of hhh4() for distributed lags as implemented in the hhh4addon package by Johannes Bracher.

2014

• 2014/11/08: Two preprints published on arXiv illustrate the newest package features:

2011

• 2011/10/10-13: Lecture on Temporal and spatio-temporal modelling of infectious diseases at the Department of Statistics, University of Munich

2008

• 2008/11/27-28: Short-course on Statistical surveillance of infectious diseases held at the Department of Statistics, Universidade Federal de Minas Gerais (UFMG), Belo Horizonte, Brazil

• 2008/11/17: Invited talk held at the 2008 ESCAIDE satellite workshop on Computer supported outbreak detection and signal management (R-File, Data)