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 original | English |
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Título de la publicación alojada | Analyzing and Modeling Spatial and Temporal Dynamics of Infectious Diseases |
Editorial | Wiley-Blackwell |
Páginas | 283-296 |
Número de páginas | 14 |
ISBN (versión digital) | 9781118630013 |
ISBN (versión impresa) | 9781118629932 |
DOI | |
Estado | Published - ene. 30 2015 |
Publicado de forma externa | Sí |
Nota bibliográfica
Publisher Copyright:© 2015 John Wiley & Sons, Inc. All rights reserved.
ASJC Scopus Subject Areas
- General Medicine