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| MAPS |
| The
majority of disease mapping within this atlas is by Health Service
Area (HSA), a group of counties described by the authors of the CDC
Atlas of United States Mortality as “an area that is relatively
self-contained with respect to hospital care.” |
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With
the exception of maps that show the location of dialysis units, maps
throughout the ADR present data divided into quintiles. Each data
range shown in a legend contains approximately one-fifth of the data
points included in the map. In the sample map here, for example, one-fifth
of all data points displayed on the map have a value of 10.8 or above. |
| To
facilitate comparisons of maps that present data for several different
years or time periods, we have applied a single legend to each of
the maps in a series, e.g., rates of diabetes in 1990 and 2000. Because
such a legend applies to multiple maps, the data in each individual
map are not evenly distributed in quintiles, and a map for a single
year may not contain all the colors or ranges listed in the legend.
In the legends the numbers in parentheses
indicate the mean values of the data points in the highest and lowest
quintiles. These can be used to calculate the percent variation
between these quintiles. For maps with shared legends we have, when
possible, provided these values by repeating the legends and inserting
the unique quintile values.
On the summary page at the end of
each chapter we have included several numbers to help you interpret
the maps and their relation to other data presented in the ADR.
The map-specific mean is calculated using only the population whose
data are included in the map itself—i.e., the mean for a state
map excludes all patients whose state of residency is unknown. This
mean will usually not match data presented in tables elsewhere in
the ADR, and should be quoted with caution. The overall mean includes
all patients for whom data is available, whether or not their residency
is known. We also include the number of patients excluded in the
map-specific mean, and the total number of patients used for the
overall calculation.
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