Selected article for: "nurse patient and transmission probability"

Author: Dan M Kluger; Yariv Aizenbud; Ariel Jaffe; Lilach Aizenbud; Fabio Parisi; Eyal Minsky-Fenick; Jonathan M Kluger; Shelli Farhadian; Harriet M Kluger; Yuval Kluger
Title: Impact of healthcare worker shift scheduling on workforce preservation during the COVID-19 pandemic
  • Document date: 2020_4_18
  • ID: i5stqd06_23
    Snippet: Patient-nurse interactions are subsequently simulated in the same manner, with two key differences. First, the patients are partitioned into k groups, where k is the number of nurses on a shift simultaneously, and each nurse only treats patients in one of the k groups. Because nurses spend more time than physicians do with each individual patient, the proability of a transmission between a nurse-patient pair that sees each other was set to a high.....
    Document: Patient-nurse interactions are subsequently simulated in the same manner, with two key differences. First, the patients are partitioned into k groups, where k is the number of nurses on a shift simultaneously, and each nurse only treats patients in one of the k groups. Because nurses spend more time than physicians do with each individual patient, the proability of a transmission between a nurse-patient pair that sees each other was set to a higher value than that for a physician-patient pair. Second, the probability of nurse to patient transmission and patient to nurse transmission is appropriately adjusted based on duration of the nursing shifts (for example, the probability of no transmission from an infectious patient to a nurse that works 8 hour shifts will differ by an exponent of ! " from that for a nurse that works 12 hour shifts.)

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