title: Do people taking flu vaccines need them the most?
abstract: BACKGROUND
  A well targeted flu vaccine strategy can ensure that vaccines go to those who are at the highest risk of getting infected if unvaccinated. However, prior research has not explicitly examined the association between the risk of flu infection and vaccination rates.
  
  
  OBJECTIVE
  This study examines the relationship between the risk of flu infection and the probability of getting vaccinated.
  
  
  METHODS
  Nationally representative data from the US and multivariate regression models were used to estimate what individual characteristics are associated with (1) the risk of flu infection when unvaccinated and (2) flu vaccination rates. These results were used to estimate the correlation between the probability of infection and the probability of getting vaccinated. Separate analyses were performed for the general population and the high priority population that is at increased risk of flu related complications.
  
  
  RESULTS
  We find that the high priority population was more likely to get vaccinated compared to the general population. However, within both the high priority and general populations the risk of flu infection when unvaccinated was negatively correlated with vaccination rates (r = -0.067, p<0.01). This negative association between the risk of infection when unvaccinated and the probability of vaccination was stronger for the high priority population (r = -0.361, p<0.01).
  
  
  CONCLUSIONS
  There is a poor match between those who get flu vaccines and those who have a high risk of flu infection within both the high priority and general populations. Targeting vaccination to people with low socioeconomic status, people who are engaged in unhealthy behaviors, working people, and families with kids will likely improve effectiveness of flu vaccine policy.
authors.affiliation: KNG Health Consulting. Rockville, Maryland, United States of America.
authors.forename: Qian
authors.initials: Q
authors.lastname: Gu
authors.forename: Neeraj
authors.initials: N
authors.lastname: Sood
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D003140:Communicable Disease Control / Q000379:methods; D005260:Female; D015438:Health Behavior; D006291:Health Policy; D006306:Health Surveys; D006801:Humans; D017589:Immunization Programs; D007252:Influenza Vaccines / Q000627:therapeutic use*; D007251:Influenza, Human / Q000517:prevention & control*; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015999:Multivariate Analysis; D011203:Poverty; D012044:Regression Analysis; D014481:United States
chemical_list: D007252:Influenza Vaccines