AI Article Synopsis

  • The study aimed to estimate influenza vaccine effectiveness (IVE) for the 2012-2013 season in France by analyzing data from volunteers registered on an online platform focused on influenza-like illnesses (ILI).
  • Using logistic regression, the study found an overall IVE of 49% for the general population and 32% for those at higher risk of severe influenza.
  • Significant factors influencing the occurrence of ILI included age, having a child in the household, and the frequency of cold/flu symptoms, with comparable results noted during the peak of the epidemic.

Article Abstract

Most of the methods used for estimating the influenza vaccine effectiveness (IVE) target the individuals who have an influenza-like illness (ILI) rather than virologically-proven influenza and access the healthcare system. The objective of this study was to estimate the 2012-2013 IVE in general French population, using a cohort of volunteers registered on GrippeNet.fr, an online surveillance system for ILI. The IVE estimations were obtained through a logistic regression, and analyses were also performed by focusing on at-risk population of severe influenza, and by varying inclusion period and ILI definition. Overall, 1996 individuals were included in the analyses. The corrected IVE was estimated to 49% (20 to 67) for the overall population, and 32% (0 to 58) for the at-risk population. Three covariables appeared with a significant effect on the occurrence of at least one ILI during the epidemic: the age (P = 0.045), the presence of a child in the household (P<10(-3)), and the frequency of cold/flu (P<10(-3)). Comparable results were found at epidemic peak time in the hypothesis of real-time feed of data. In this study, we proposed a novel, follow-up, web-based method to reveal seasonal vaccine effectiveness, which enables analysis in a portion of the population that is not tracked by the health care system in most VE studies.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4130275PMC
http://dx.doi.org/10.4161/hv.27439DOI Listing

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