Rapid screening for influenza using a multivariable logistic regression model to save labor at a clinic in Iwaki, Fukushima, Japan

Am J Infect Control. 2014 May;42(5):551-3. doi: 10.1016/j.ajic.2014.01.019.

Abstract

To lighten the workload of health care professionals, we conducted a clinical test of a newly developed automated infection screening system using a multivariable logistic regression model. The system was tested with 44 influenza patients and 45 healthy control subjects based on 3 vital signs: facial temperature, heart rate and respiratory rate. The system showed a high accuracy for distinguishing influenza patients from control subjects within 15 seconds.

Keywords: Classification model; Nuclear disaster; Vital sign; Workload.

Publication types

  • Evaluation Study

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Body Temperature
  • Child
  • Clinical Medicine / methods*
  • Female
  • Heart Rate
  • Humans
  • Influenza, Human / diagnosis*
  • Influenza, Human / pathology
  • Japan
  • Logistic Models
  • Male
  • Mass Screening / methods*
  • Middle Aged
  • Respiratory Rate
  • Time Factors
  • Workload*
  • Young Adult