Selected article for: "data analysis and illness onset"
Author: Harris, John P; Lopman, Ben A; Cooper, Ben S; O'Brien, Sarah J
Title: Does spatial proximity drive norovirus transmission during outbreaks in hospitals?
  • Document date: 2013_7_12
    • ID: 2rvdedui_29
    Snippet: Specifically, accurate information on patients' positions on a ward was available for 47 percent of the outbreaks. The spatial analysis was undertaken on 65 outbreaks. In addition to the sensitivity analysis we also analysed the data by including outbreaks where onset dates of illness were complete but data on patient location were incomplete (where fewer than 10% of patient data on position was incomplete, 85 outbreaks). We dealt with missing va.....
    Document: Specifically, accurate information on patients' positions on a ward was available for 47 percent of the outbreaks. The spatial analysis was undertaken on 65 outbreaks. In addition to the sensitivity analysis we also analysed the data by including outbreaks where onset dates of illness were complete but data on patient location were incomplete (where fewer than 10% of patient data on position was incomplete, 85 outbreaks). We dealt with missing values by allocating a completely separate bay for patients with missing data on location at time of onset. This approach is conservative in that it would underestimate the impact of proximity.

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