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- W2186498049 abstract "Representing the health state of a region is a helpful tool to highlight spatial heterogeneity and localize high risk areas. For ease of interpretation and to determine where to apply control procedures, we need to clearly identify and delineate homogeneous regions in terms of disease risk, and in particular disease risk hot spots. However, even if practical purposes require the delineation of different risk classes, the classification does not correspond to a reality and is thus difficult to estimate. Working with grouped data, afirst natural choice is to apply disease mapping models. We apply a usual disease mapping model, producing continuous estimations of the risks that requires a post-processing classification step to obtain clearly delimited risk zones. We also apply a risk partition model that build a classification of the risk levels" @default.
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- W2186498049 date "2012-01-01" @default.
- W2186498049 modified "2023-09-27" @default.
- W2186498049 title "On the difficulty to clearly identify and delineate disease risk hot spots" @default.
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