This paper is in the following e-collection/theme issue:

Presentations, Abstracts, or Demonstrations (740) Geographic Information Systems (GIS) (23)

Published on in Vol 5, No 1 (2013):

Disease Mapping with Spatially Uncertain Data

Disease Mapping with Spatially Uncertain Data

Disease Mapping with Spatially Uncertain Data

Authors of this article:

Justin Manjourides1 ;   Ted Cohen2 ;   Caroline Jeffery3 ;   Marcello Pagano4
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    We present a disease mapping method that accounts for spatially uncertain data by informatively weighting the locations of interest. This method is applied to programmatic tuberculosis data collected over three years in Lima, Peru, with the goal of identifying potential hotspots of drug-resistance transmission. The flexibility of this method, which accommodates any general weighting scheme, allows us to examine the affects of different assumptions regarding the uncertainty present in the data.