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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.