Learn More
There is now widespread agreement that geographic identifiers (geocodes) should be assigned to cancer records, but little agreement on their form and how they should be assigned, reported, and used. This paper reviews geocoding practice in relation to major purposes and discusses methods to improve the accuracy of geocoded cancer data. Differences in(More)
The conventional approach to preserving the confidentiality of health records aggregates all records within a geographical area that has a population large enough to ensure prevention of disclosure. Though this approach normally protects the privacy of individuals, the use of such aggregated data limits the types of research one can conduct and makes it(More)
SUMMARY Inferences for spatial data are affected substantially by the spatial configuration of the network of sites where measurements are taken. In this article, criteria for network design that emphasize the utility of the network for prediction (kriging) of unobserved responses assuming known spatial covariance parameters are contrasted with criteria(More)
BACKGROUND The assignment of a point-level geocode to subjects' residences is an important data assimilation component of many geographic public health studies. Often, these assignments are made by a method known as automated geocoding, which attempts to match each subject's address to an address-ranged street segment georeferenced within a streetline(More)
(ASPH); its contents are the responsibility of the authors and do not necessarily reflect the official views of the CDC or ASPH. Abstract The availability of individual-level health data presents opportunities for monitoring the distribution and spread of emergent, acute, and chronic conditions, as well as challenges with respect to maintaining the(More)
BACKGROUND This research develops methods for determining the effect of geocoding quality on relationships between environmental exposures and health. The likelihood of detecting an existing relationship - statistical power - between measures of environmental exposures and health depends not only on the strength of the relationship but also on the level of(More)
The characterization of spatial dependence is an important component of a spatial modeling exercise. For reasons of convenience, model parsimony, or computational efficiency, the spatial covariance structure is often assumed to be isotropic (direction-invariant), completely symmetric, or reflection symmetric (the latter two being forms of directional(More)