Disease Mapping with Spatially Uncertain Data
DOI:
https://doi.org/10.5210/ojphi.v5i1.4380Abstract
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.Published
2013-03-21
How to Cite
Manjourides, J., Cohen, T., Jeffery, C., & Pagano, M. (2013). Disease Mapping with Spatially Uncertain Data. Online Journal of Public Health Informatics, 5(1). https://doi.org/10.5210/ojphi.v5i1.4380
Issue
Section
Oral Presentations: Data Quality and Underlying Patterns in Data Streams