Selected article for: "standard deviation and threshold method"

Author: Thilo Reich; Marcin Budka
Title: A Proof Of Concept For A Syndromic Surveillance System Based On Routine Ambulance Records In The South-west Of England, For The Influenza Season 2016/17
  • Document date: 2018_11_9
  • ID: j3o0fko1_66
    Snippet: The weekly case numbers peaked in week 51/2016 with 1042 (21.64% ) pyretic patients of 4814 total calls. An increase of the CR 21 to >1 was detected in week 39/2016 with 570 (13.73% ) cases of 4151 calls ( Figure 5 ). The pyrexia count is 5.26% below the baseline (550) at the time of detection and within the standard deviation (134.56), hence would be difficult to detect with a threshold-based method. The copyright holder for this preprint (which.....
    Document: The weekly case numbers peaked in week 51/2016 with 1042 (21.64% ) pyretic patients of 4814 total calls. An increase of the CR 21 to >1 was detected in week 39/2016 with 570 (13.73% ) cases of 4151 calls ( Figure 5 ). The pyrexia count is 5.26% below the baseline (550) at the time of detection and within the standard deviation (134.56), hence would be difficult to detect with a threshold-based method. The copyright holder for this preprint (which was not peer-reviewed) is the author/funder. It . https://doi.org/10.1101/462341 doi: bioRxiv preprint As comparison, the ECDC recorded the first cases in week 46/2016 [32] corresponding to 693 (15.7% ) cases of 4407 patients attended by ambulances. This pyrexia count at the date of detection by the ECDC is 15.5% above the baseline (550) but again within the standard deviation (134.56).

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