Bayesian Spatio-Temporal Modeling of Schistosoma japonicum Prevalence Data in the Absence of a Diagnostic ‘Gold’ Standard

BACKGROUND: Spatial modeling is increasingly utilized to elucidate relationships between demographic, environmental, and socioeconomic factors, and infectious disease prevalence data. However, there is a paucity of studies focusing on spatio-temporal modeling that take into account the uncertainty o...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Xian-Hong, Zhou, Xiao-Nong, Vounatsou, Penelope, Chen, Zhao, Utzinger, Jürg, Yang, Kun, Steinmann, Peter, Wu, Xiao-Hua
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2008
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2405951/
https://www.ncbi.nlm.nih.gov/pubmed/18545696
http://dx.doi.org/10.1371/journal.pntd.0000250

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2405951/
https://www.ncbi.nlm.nih.gov/pubmed/18545696
http://dx.doi.org/10.1371/journal.pntd.0000250

Ejemplares similares