Geoffrey M Jacquez and Dunrie A Greiling*
Corresponding author: Dunrie A Greiling email@example.com
International Journal of Health Geographics 2003, 2:3 doi:10.1186/1476-072X-2-3
(2003-02-28 04:43) University of Connecticut
In geographical disease surveillance it is sometimes of interest to study disease
incidence and mortality in different but overlapping geographical areas. For example,
if a geographical cluster is found in a particular location, it may be of interest
to study the geographical distribution within that specific location. Jacquez’
and Greiling’s study of breast cancer incidence on Long Island is therefore
an interesting follow-up to the state-wide analyses done by the New York State Health
Department, which had found a cluster on Long Island.
The comparison that the authors make between the spatial scan statistic and the local
Moran method is not informative though. The former was applied to New York State as
a whole and the latter only to Long Island. In order to compare methods, the methods
need to be applied to the same data sets. While different methods will always produce
different results, no conclusions about the nature of these differences can be made
from the current study.
Dr Kulldorff is the developer of the spatial scan statistic used for the state-wide
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