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Disease Mapping with Spatially Uncertain Data

OBJECTIVE: Uncertainty regarding the location of disease acquisition, as well as selective identification of cases, may bias maps of risk. We propose an extension to a distance-based mapping method (DBM) that incorporates weighted locations to adjust for these biases. We demonstrate this method by m...

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Autors principals: Manjourides, Justin, Cohen, Ted, Jeffery, Caroline, Pagano, Marcello
Format: Artigo
Idioma:Inglês
Publicat: University of Illinois at Chicago Library 2013
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Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC3692831/
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