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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...
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| Publicado no: | BMC Infect Dis |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2017
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5625624/ https://ncbi.nlm.nih.gov/pubmed/28969585 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12879-017-2759-0 |
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