Confidence interval methods for antimicrobial resistance surveillance data
Abstract 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, thes...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2021-06-01
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| Series: | Antimicrobial Resistance and Infection Control |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s13756-021-00960-5 |