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- W2084725516 abstract "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." @default.
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- W2084725516 date "2013-03-21" @default.
- W2084725516 modified "2023-10-12" @default.
- W2084725516 title "Disease Mapping with Spatially Uncertain Data" @default.
- W2084725516 cites W2020231419 @default.
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- W2084725516 doi "https://doi.org/10.5210/ojphi.v5i1.4380" @default.
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