Applying symptom dynamics to accurately predict influenza virus infection: An international multicenter influenza-like illness surveillance study

Jin Hua Li, Chin Chieh Wu, Yi Ju Tseng, Shih Tsung Han, Andrew Pekosz, Richard Rothman, Kuan Fu Chen*

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

2 Scopus citations

Abstract

Background: Public health organizations have recommended various definitions of influenza-like illnesses under the assumption that the symptoms do not change during influenza virus infection. To explore the relationship between symptoms and influenza over time, we analyzed a dataset from an international multicenter prospective emergency department (ED)-based influenza-like illness cohort study. Methods: We recruited patients in the US and Taiwan between 2015 and 2020 with: (1) flu-like symptoms (fever and cough, headache, or sore throat), (2) absence of any of the respiratory infection symptoms, or (3) positive laboratory test results for influenza from the current ED visit. We evaluated the association between the symptoms and influenza virus infection on different days of illness. The association was evaluated among different subgroups, including different study countries, influenza subtypes, and only patients with influenza. Results: Among the 2471 recruited patients, 45.7% tested positive for influenza virus. Cough was the most predictive symptom throughout the week (odds ratios [OR]: 7.08–11.15). In general, all symptoms were more predictive during the first 2 days (OR: 1.55–10.28). Upper respiratory symptoms, such as sore throat and productive cough, and general symptoms, such as body ache and fatigue, were more predictive in the first half of the week (OR: 1.51–3.25). Lower respiratory symptoms, such as shortness of breath and wheezing, were more predictive in the second half of the week (OR: 1.52–2.52). Similar trends were observed for most symptoms in the different subgroups. Conclusions: The time course is an important factor to be considered when evaluating the symptoms of influenza virus infection.

Original languageEnglish
Article numbere13081
Pages (from-to)e13081
JournalInfluenza and other Respiratory Viruses
Volume17
Issue number1
DOIs
StatePublished - 01 2023

Bibliographical note

© 2022 The Authors. Influenza and Other Respiratory Viruses published by John Wiley & Sons Ltd.

Keywords

  • cough
  • influenza
  • influenza-like illness
  • symptom prediction
  • syndromic surveillance
  • Influenza, Human/diagnosis
  • Prospective Studies
  • Humans
  • Orthomyxoviridae
  • Pharyngitis
  • Cough
  • Cohort Studies

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