Modelling the presence of disease under spatial misalignment using Bayesian latent Gaussian models
Modelling patterns of the spatial incidence of diseases using local environmental factors has been a growing problem in the last few years. Geostatistical models have become popular lately because they allow estimating and predicting the underlying disease risk and relating it with possible risk fac...
| Main Authors: | , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
PAGEPress Publications
2016-04-01
|
| Series: | Geospatial Health |
| Subjects: | |
| Online Access: | http://geospatialhealth.net/index.php/gh/article/view/415 |