Bayesian hierarchical modeling of joint spatiotemporal risk patterns for Human Immunodeficiency Virus (HIV) and Tuberculosis (TB) in Kenya

The simultaneous spatiotemporal modeling of multiple related diseases strengthens inferences by borrowing information between related diseases. Numerous research contributions to spatiotemporal modeling approaches exhibit their strengths differently with increasing complexity. However, contributions...

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Detalles Bibliográficos
Autores principales: Otiende, Verrah A., Achia, Thomas N., Mwambi, Henry G.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332062/
https://www.ncbi.nlm.nih.gov/pubmed/32614847
http://dx.doi.org/10.1371/journal.pone.0234456

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7332062/
https://www.ncbi.nlm.nih.gov/pubmed/32614847
http://dx.doi.org/10.1371/journal.pone.0234456

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