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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Detalles Bibliográficos
Autores principales: Kalanxhi, Erta, Osena, Gilbert, Kapoor, Geetanjali, Klein, Eili
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Research
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

Internet

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

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