Campylobacteriosis and Absolute Humidity in Germany 2002-2011
Weekly number of reported campylobacteriosis cases in Germany, 2002-2011, together with the corresponding absolute humidity (in g/m^3) that week. The absolute humidity was computed according to the procedure by Dengler (1997) using the means of representative weather station data from the German Climate service.
data.frame containing the following columns
Dateinstance containing the Monday of the reporting week.
Number of reported cases that week.
Boolean indicating whether there is external knowledge about an outbreak that week
Mean absolute humidity (in g/m^3) of that week as measured by a single representative weather station.
Lagged version (lagged by 1-5) of the
Boolean indicating whether the reporting week corresponds to the first two weeks of the year (TRUE) or not (FALSE). Note: The first week of a year is here defined as the first reporting week, which has its corresponding Monday within new year.
Boolean indicating whether the reporting week corresponds to the last two weeks of the year (TRUE) or not (FALSE). Note: This are the first two weeks before the
Boolean indicating whether the reporting week corresponds to the W21-W30 period of increased gastroenteritis awareness during the O104:H4 STEC outbreak.
The data on campylobacteriosis cases have been queried from the Survstat@RKI database of the German Robert Koch Institute (https://survstat.rki.de/).
Data for the computation of absolute humidity were obtained from the German Climate Service (Deutscher Wetterdienst), Climate data of Germany, available at https://www.dwd.de.
A complete data description and an analysis of the data can be found in Manitz and Höhle (2013).
Manitz, J. and Höhle, M. (2013): Bayesian outbreak detection algorithm for monitoring reported cases of campylobacteriosis in Germany. Biometrical Journal, 55(4), 509-526.
# Load the data data("campyDE") # O104 period is W21-W30 in 2011 stopifnot(all(campyDE$O104period == ( (campyDE$date >= as.Date("2011-05-23")) & (campyDE$date < as.Date("2011-07-31")) ))) # Make an sts object from the data.frame cam.sts <- sts(epoch=campyDE$date, observed=campyDE$case, state=campyDE$state) # Plot the result plot(cam.sts)