Selected article for: "average length and latent period"
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_5
    Snippet: We simulated the spread of SARS-CoV-2 in hospital wards using five scheduling designs with various choices of model input parameters. Universal model parameters for COVID-19 included incubation period distribution (time from exposure to first symptom) and latent period distribution (time from exposure to becoming infectious.) Situation-dependent COVID-19 model parameters included pre-admission infection probability of an admitted patient, team me.....
    Document: We simulated the spread of SARS-CoV-2 in hospital wards using five scheduling designs with various choices of model input parameters. Universal model parameters for COVID-19 included incubation period distribution (time from exposure to first symptom) and latent period distribution (time from exposure to becoming infectious.) Situation-dependent COVID-19 model parameters included pre-admission infection probability of an admitted patient, team member infection probability at start of simulation, physician-to-patient, nurse-to-patient, patient-tophysician, patient-to-nurse, and HCW-to-HCW transmission probabilities, team member days of absence after symptom onset, daily SARS-CoV-2 exposure probability of team members (e.g. via elevator use, exposure to other staff), length of patient stays after showing COVID-19 symptoms, and length of simulation time. Model parameters that varied by hospital setting and service type included average team patient census, average patient hospitalization length, and the number of physicians and nurses on a team and on duty at all times.

    Search related documents:
    Co phrase search for related documents
    • model parameter and SARS exposure: 1
    • model parameter and simulation time: 1
    • model parameter and staff exposure: 1, 2
    • model parameter and symptom onset: 1, 2, 3, 4, 5, 6, 7
    • model parameter and transmission probability: 1, 2, 3, 4, 5, 6, 7, 8
    • nurse patient and patient physician: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11
    • nurse patient and patient stay: 1, 2
    • nurse patient and patient stay length: 1
    • nurse patient and period distribution: 1
    • nurse patient and pre admission: 1
    • nurse patient and SARS exposure: 1, 2
    • nurse patient and SARS exposure probability: 1
    • nurse patient and service type: 1
    • nurse patient and service type hospital setting: 1
    • nurse patient and simulation time: 1, 2
    • nurse patient and simulation time length: 1
    • nurse patient and staff exposure: 1
    • nurse patient and symptom onset: 1
    • nurse patient and transmission probability: 1