Impact of seasonal influenza on polyclinic attendances for upper respiratory tract infections in Singapore

Western Pac Surveill Response J. 2020 Jun 30;11(2):27-36. doi: 10.5365/wpsar.2019.10.4.001. eCollection 2020 Apr-Jun.

Abstract

Purpose: The burden of influenza on primary health-care services is not well established in tropical countries, where there are no clearly defined influenza seasons. We aimed to estimate the association between influenza infection activity and polyclinic attendance rates for upper respiratory tract infections (URTIs) in the Singapore population.

Methods: We used generalized additive time series models to estimate the association between the proportion of respiratory tests positive for influenza infection in Singapore reported to the World Health Organization every week, and the population rate of polyclinic attendances in Singapore for physician-diagnosed URTI, which includes influenza-like illness (ILI), for six years from 2012 through 2017. Where data were available, we controlled for other infections that can cause fever or respiratory symptoms.

Results: Influenza, dengue fever and chickenpox (varicella) were positively associated with acute URTI polyclinic attendances. The estimated URTI polyclinic attendance rates attributable to influenza, dengue fever and chickenpox were 618.9 (95% confidence interval [CI]: 501.6-736.3), 153.3 (95% CI: 16.5-290.2) and 1751.5 (95% CI: 1246.3-2256.8) per 100 000 population per year, respectively.

Conclusion: Influenza poses a considerable burden on primary health-care services in Singapore. However, a substantial number of polyclinic attendances due to febrile infections such as dengue fever and chickenpox appear to be recorded as URTI in the polyclinic database. These associations require further investigation.

MeSH terms

  • Ambulatory Care Facilities / statistics & numerical data*
  • Humans
  • Influenza, Human / epidemiology*
  • Respiratory Tract Infections / epidemiology
  • Respiratory Tract Infections / therapy*
  • Retrospective Studies
  • Seasons
  • Singapore / epidemiology