These data comprise of 188 cases of measles among children in the German city of Hagelloch, 1861. The data were originally collected by Dr. Albert Pfeilsticker (1863) and augmented and re-analysed by Dr. Heike Oesterle (1992).
measles_hagelloch_1861A data frame with 188 rows and 12 columns
Case ID number
Number of patient who is the putative source of infection
Date of onset of prodromal symptoms
Date of onset of rash
Date of death (NA implies recovered)
Age in years (fractions ignored)
Gender of the individual (factor: f, m)
Family ID number
School class (factor: 0, preschool; 1, 1st class; 2, 2nd class )
Complications (factor: no, yes)
x coordinate of house (in metres). Scaling in metres is obtained by multiplying the original coordinates by 2.5 (see details in Neal and Roberts (2004))
y coordinate of house (in metres). See x_loc above.
Pfeilsticker, A. 1863. Beitr<U+00E4>ge zur Pathologie der Masern mit besonderer Ber<U+00FC>cksichtigung der statistischen Verh<U+00E4>ltnisse, M.D. Thesis, Eberhard-Karls-Universit<U+00E4>t T<U+00FC>bingen. Available as http://www.archive.org/details/beitrgezurpatho00pfeigoog.
Oesterle, H. 1992. Statistische Reanalyse einer Masernepidemie 1861 in Hagelloch, M.D. Thesis, Eberhard-Karls-Universit<U+00E4>at T<U+00FC>bingen.
Neal, P. J. and Roberts, G. O. 2004. Statistical inference and model selection for the 1861 Hagelloch measles epidemic, Biostatistics 5(2):249-261.
H<U+00F6>hle M. 2007. surveillance: An R package for the monitoring of infectious diseases. Computational Statistics, 22:571-582.
Meyer, S., Held, L., & H<U+00F6>hle, M. 2017. Spatio-Temporal Analysis of Epidemic Phenomena Using the R Package surveillance. Journal of Statistical Software, 77(11), 1 - 55.
# NOT RUN {
## show first few cases
head(measles_hagelloch_1861)
# }
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