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Confidence interval methods for antimicrobial resistance surveillance data
BACKGROUND: Antimicrobial resistance (AMR) is one of the greatest global health challenges today, but burden assessment is hindered by uncertainty of AMR prevalence estimates. Geographical representation of AMR estimates typically pools data collected from several laboratories; however, these aggreg...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8191092/ https://www.ncbi.nlm.nih.gov/pubmed/34108041 http://dx.doi.org/10.1186/s13756-021-00960-5 |