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A novel Bayesian geospatial method for estimating tuberculosis incidence reveals many missed TB cases in Ethiopia
BACKGROUND: Reported tuberculosis (TB) incidence globally continues to be heavily influenced by expert opinion of case detection rates and ecological estimates of disease duration. Both approaches are recognised as having substantial variability and inaccuracy, leading to uncertainty in true TB inci...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2017
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5625624/ https://www.ncbi.nlm.nih.gov/pubmed/28969585 http://dx.doi.org/10.1186/s12879-017-2759-0 |