Extending multilevel spatial models to include spatially varying coefficients.

Journal Article (Journal Article)

Multilevel models have long been used by health geographers working on questions of space, place, and health. Similarly, health geographers have pursued interests in determining whether or not the effect of an exposure on a health outcome varies spatially. However, relatively little work has sought to use multilevel models to explore spatial variability in the effects of a contextual exposure on a health outcome. Methodologically, extending multilevel models to allow intercepts and slopes to vary spatially is straightforward. The purpose of this paper, therefore, is to show how multilevel spatial models can be extended to include spatially varying covariate effects. We provide an empirical example on the effect of agriculture on malaria risk in children under 5 years of age in the Democratic Republic of Congo.

Full Text

Duke Authors

Cited Authors

  • Janko, M; Goel, V; Emch, M

Published Date

  • November 2019

Published In

Volume / Issue

  • 60 /

Start / End Page

  • 102235 -

PubMed ID

  • 31778846

Pubmed Central ID

  • PMC6903407

Electronic International Standard Serial Number (EISSN)

  • 1873-2054

International Standard Serial Number (ISSN)

  • 1353-8292

Digital Object Identifier (DOI)

  • 10.1016/j.healthplace.2019.102235


  • eng