Publication: Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance
Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance
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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. https://doi.org/10.18637/jss.v077.i11
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The availability of geocoded health data and the inherent temporal structure of communicable diseases have led to an increased interest in statistical models and software for spatio-temporal data with epidemic features. The open source R package surveillance can handle various levels of aggregation at which infective events have been recorded: individual-level time-stamped geo-referenced data (case reports) in either continuous space or discrete space, as well as counts aggregated by period and region. For each of these data types, th
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- Meyer, Sebastian
- Held, Leonhard
- Höhle, Michael
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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. https://doi.org/10.18637/jss.v077.i11
