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As a general software reference for the _monitoring_ functionality, please cite:

Salmon M, Schumacher D, Höhle M (2016). “Monitoring Count Time Series in R: Aberration Detection in Public Health Surveillance.” Journal of Statistical Software, 70(10), 1–35. doi:10.18637/jss.v070.i10.

As a general reference for the spatio-temporal _modeling_ frameworks, please cite:

Meyer S, Held L, Höhle M (2017). “Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance.” Journal of Statistical Software, 77(11), 1–55. doi:10.18637/jss.v077.i11.

References to the underlying methodological papers can be found via 'surveillance:::REFERENCES' and on the help pages of the functions.

Corresponding BibTeX entries:

  @Article{,
    author = {Maëlle Salmon and Dirk Schumacher and Michael Höhle},
    title = {Monitoring Count Time Series in {R}: Aberration Detection
      in Public Health Surveillance},
    journal = {Journal of Statistical Software},
    year = {2016},
    volume = {70},
    number = {10},
    pages = {1--35},
    doi = {10.18637/jss.v070.i10},
  }
  @Article{,
    author = {Sebastian Meyer and Leonhard Held and Michael Höhle},
    title = {Spatio-Temporal Analysis of Epidemic Phenomena Using the
      {R} Package {surveillance}},
    journal = {Journal of Statistical Software},
    year = {2017},
    volume = {77},
    number = {11},
    pages = {1--55},
    doi = {10.18637/jss.v077.i11},
  }

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.