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Predicting ARM in the US

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DataCite Commons2026-05-02 更新2026-05-07 收录
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https://searchamr.vivli.org/doiLanding/dataRequests/PR00013009
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Estimates of the prevalence of antimicrobial resistance (AMR) underpin effective antimicrobial stewardship, infection prevention and control, and optimal deployment of antimicrobial agents. Typically, the prevalence of AMR is determined from real-world antimicrobial susceptibility data that are time delimited, sparse, and often biased, potentially resulting in harmful and wasteful decision-making. Frequentist methods are resource intensive because they rely on large datasets. We are estimating the prevalence of AMR in the United States using Bayesian estimation methods.
提供机构:
Vivli
创建时间:
2026-05-02
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