Spatial Pattern Analysis of Multivariate Disease Data

Cindy X. Feng, Charmaine B. Dean

Producción científica: Capítulo en Libro/Reporte/Acta de conferenciaCapítulo

Resumen

In geographical epidemiology, outcomes measured at the same spatial location may be correlated, so that the spatial structures of such outcomes across the region under consideration are very similar, perhaps because they reflect the same set of spatially distributed unobserved or unmeasured risk factors. Alternately, one outcome might lead to the presence of another over a region. Most studies fail to account for correlation among multiple outcomes. We demonstrate how a joint outcome modeling approach can improve the predictive accuracy of disease incidence over space in an infectious disease application in the forestry context.

Idioma originalEnglish
Título de la publicación alojadaAnalyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases
EditorialWiley-Blackwell
Páginas283-296
Número de páginas14
ISBN (versión digital)9781118630013
ISBN (versión impresa)9781118629932
DOI
EstadoPublished - ene. 30 2015
Publicado de forma externa

Nota bibliográfica

Publisher Copyright:
© 2015 John Wiley & Sons, Inc. All rights reserved.

ASJC Scopus Subject Areas

  • General Medicine

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