measles.weser | R Documentation |
Weekly counts of new measles cases for the 17 administrative
districts (NUTS-3 level) of the “Weser-Ems” region of Lower
Saxony, Germany, during 2001 and 2002, as reported to the Robert Koch
institute according to the Infection Protection Act
(“Infektionsschutzgesetz”, IfSG).
data("measlesWeserEms")
is a corrected version of
data("measles.weser")
(see Format section below).
These data are illustrated and analyzed in Meyer et al. (2017, Section 5),
see vignette("hhh4_spacetime")
.
data("measles.weser")
data("measlesWeserEms")
data("measles.weser")
is an object of the old "disProg"
class, whereas data("measlesWeserEms")
is of the new class
"sts"
.
Furthermore, the following updates have been applied for
data("measlesWeserEms")
:
it includes the two districts “SK Delmenhorst” (03401) and
“SK Wilhemshaven” (03405) with zero counts, which are ignored in
data("measles.weser")
.
it corrects the time lag error for year 2002 caused by a
redundant pseudo-week “0” with 0 counts only
(the row measles.weser$observed[53,]
is nonsense).
it has one more case attributed to “LK Oldenburg”
(03458) during 2001/W17, i.e., 2 cases instead of 1. This reflects
the official data as of “Jahrbuch 2005”, whereas
data("measles.weser")
is as of “Jahrbuch 2004”.
it contains a map of the region (as a
"\linkSPclass{SpatialPolygonsDataFrame}"
) with the following
variables:
GEN
district label.
AREA
district area in m^2.
POPULATION
number of inhabitants (as of 31/12/2003).
vaccdoc.2004
proportion with a vaccination card among screened abecedarians (2004).
vacc1.2004
proportion with at least one vaccination against measles among abecedarians presenting a vaccination card (2004).
vacc2.2004
proportion of doubly vaccinated abecedarians among the ones presenting their vaccination card at school entry in the year 2004.
it uses the correct format for the official district keys, i.e., 5 digits (initial 0).
its attached neighbourhood matrix is more general: a distance matrix
(neighbourhood orders) instead of just an adjacency indicator matrix
(special case nbOrder == 1
).
population fractions represent data as of 31/12/2003 (LSN,
2004, document “A I 2 - hj 2 / 2003”). There are only
minor differences to the ones used for data("measles.weser")
.
Measles counts were obtained from the public SurvStat database of the Robert Koch institute: https://survstat.rki.de/.
A shapefile of Germany's districts as of 01/01/2009 was obtained from
the German Federal Agency for Cartography and Geodesy
(https://gdz.bkg.bund.de/).
The map of the 17 districts of the “Weser-Ems” region
(measlesWeserEms@map
) is a simplified subset of this
shapefile using a 30% reduction via the Douglas-Peucker reduction method
as implemented at https://MapShaper.org.
Population numbers were obtained from the Federal Statistical Office of Lower Saxony (LSN).
Vaccination coverage was obtained from the public health department of Lower Saxony (NLGA, “Impfreport”).
Meyer, S., Held, L. and Höhle, M. (2017): Spatio-temporal analysis of epidemic phenomena using the R package surveillance. Journal of Statistical Software, 77 (11), 1-55. \Sexpr[results=rd]{tools:::Rd_expr_doi("10.18637/jss.v077.i11")}
## old "disProg" object
data("measles.weser")
measles.weser
plot(measles.weser, as.one=FALSE)
## new "sts" object (with corrections)
data("measlesWeserEms")
measlesWeserEms
plot(measlesWeserEms)
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