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Spatial Clustering and Autocorrelation in Health Events

  • Geoffrey Jacquez
Reference work entry

Abstract

Spatial autocorrelation in health events may be the signature of underlying causal factors of direct scientific and practical interest but may also be due to pedestrian or nuisance factors that obscure meaningful spatial patterns. The problem is to discern spatial patterns that inform our understanding of the health events themselves from those that are of little interest. This chapter provides a framework for advancing knowledge when the causes of observed health event clusters are unknown.

Keywords

Spatial Autocorrelation West Nile Virus Lyme Disease Behavioral Risk Factor Surveillance System Neutral Model 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

Notes

Acknowledgments

The author’s efforts were funded in part by grants 2R44CA112743, 5R44CA135818, and 1R21LM011132 from the National Cancer Institute and the National Library of Medicine. The perspectives are those of the author and do not necessarily represent those of the funding agencies.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.SUNY at BuffaloBuffaloUSA
  2. 2.BioMedwareAnn ArborUSA

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