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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...
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| Publicado no: | Antimicrob Resist Infect Control |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2021
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC8191092/ https://ncbi.nlm.nih.gov/pubmed/34108041 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s13756-021-00960-5 |
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