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A Bayesian modelling framework to quantify multiple sources of spatial variation for disease mapping
Spatial connectivity is an important consideration when modelling infectious disease data across a geographical region. Connectivity can arise for many reasons, including shared characteristics between regions and human or vector movement. Bayesian hierarchical models include structured random effec...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
The Royal Society
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9490350/ https://www.ncbi.nlm.nih.gov/pubmed/36128702 http://dx.doi.org/10.1098/rsif.2022.0440 |