measles_hagelloch_1861 {outbreaks} | R Documentation |
Measles in Hagelloch, Germany, 1861
Description
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).
Usage
measles_hagelloch_1861
Format
A data frame with 188 rows and 12 columns
- case_ID
Case ID number
- infector
Number of patient who is the putative source of infection
- date_of_prodrome
Date
of onset of prodromal symptoms- date_of_rash
Date
of onset of rash- date_of_death
Date
of death (NA
implies recovered)- age
Age in years (fractions ignored)
- gender
Gender of the individual (factor: f, m)
- family_ID
Family ID number
- class
School class (factor: 0, preschool; 1, 1st class; 2, 2nd class )
- complications
Complications (factor: no, yes)
- x_loc
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_loc
y coordinate of house (in metres). See
x_loc
above.
Author(s)
This version of the data was formatted from hagelloch.df
in the
surveillance
package, which in turn was provided by Niels Becker via Peter Neal.
Formatting to fit in with the other datasets in the outbreaks
package by Simon Frost
(sdwfrost@gmail.com).
Source
Pfeilsticker (1863) and Oesterle (1992).
References
Pfeilsticker, A. 1863. Beiträge zur Pathologie der Masern mit besonderer Berücksichtigung der statistischen Verhältnisse, M.D. Thesis, Eberhard-Karls-Universität Tübingen. Available as http://www.archive.org/details/beitrgezurpatho00pfeigoog.
Oesterle, H. 1992. Statistische Reanalyse einer Masernepidemie 1861 in Hagelloch, M.D. Thesis, Eberhard-Karls-Universitäat Tübingen.
Neal, P. J. and Roberts, G. O. 2004. Statistical inference and model selection for the 1861 Hagelloch measles epidemic, Biostatistics 5(2):249-261.
Höhle M. 2007. surveillance: An R package for the monitoring of infectious diseases. Computational Statistics, 22:571-582.
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.
Examples
## show first few cases
head(measles_hagelloch_1861)