***TASK*** the task is to summarize an input biomedical literature in six sentences 
    ***INPUT*** the input is a biomedical literature 
    ***OUTPUT*** the output is the summary of an input biomedical literature in six sentences 
    ***DOCUMENTATION*** 
    ***EXAMPLES*** 
    Input: Neighborhood-level analyses of influenza vaccination can identify the characteristics of vulnerable neighborhoods , which can inform public health strategy for future p and emics . In this study , the authors analyzed rates of  2009 p and emic A/H1N1 influenza vaccination  in Montreal , Quebec , Canada , using individual-level vaccination records from a vaccination registry with census , survey , and administrative data to estimate the population at risk . The neighborhood socioeconomic and demographic determinants of vaccination were identified using Bayesian ecologic logistic regression , with r and om effects to account for spatial autocorrelation . A total of 918,773 ( 49.9 % ) Montreal residents were vaccinated against p and emic A/H1N1 influenza  from October 22 , 2009 , through April 8 , 2010 . Coverage was greatest among females , children under age 5 years , and health-care workers . Neighborhood vaccine coverage ranged from 33.6 % to 71.0 % . Neighborhoods with high percentages of immigrants ( per 5 % increase , odds ratio = 0.90 , 95 % credible interval : 0.86 , 0.95 ) and material deprivation ( per 1-unit increase in deprivation score , odds ratio = 0.93 , 95 % credible interval : 0.88 , 0.98 ) had lower vaccine coverage . Half of the Montreal population was vaccinated ; however , considerable heterogeneity in coverage was observed between neighborhoods and subgroups . In future vaccination campaigns , neighborhoods that are material ly deprived or have high percentages of immigrants may benefit from focused interventions BACKGROUND Pregnant women have an increased risk of complications from influenza . Influenza vaccination during pregnancy is considered effective and safe ; however estimates of vaccine coverage are low . This study aim ed to determine  influenza vaccination coverage and factors associated with vaccine uptake in pregnant women in two Sydney-based health districts . METHODS A r and om sample of women who delivered a baby in a public hospital in Sydney and South-Western Sydney Local Health Districts between June and September 2012 were surveyed using a computer assisted telephone interviewing service . RESULTS Of the 462 participants ( participation rate 92 % ) , 116 ( 25 % ) reported receiving the influenza vaccine during their pregnancy . In univariate analysis , vaccination coverage varied significantly depending on antenatal care type , hospital of birth , and parity ( p<0.05 ) , but not for age category , highest level of education , country of birth , language spoken at home , or Aboriginal status . Women who received antenatal care through a general practitioner ( GP ) had 2.3 ( 95 % CI 1.4 - 3.6 ) times the odds ( unadjusted ) of receiving the influenza vaccination  than those who received their antenatal care through a public hospital . The main reason cited for vaccination was GP recommendation ( 37 % ) , while non- recommendation ( 33 % ) and lack of knowledge ( 26 % ) were cited as main reasons for not receiving the vaccination . 30 % of women recalled receiving a provider recommendation for the vaccination and these women had 33.0 times the odds ( unadjusted ) of receiving the vaccination than women who had not received a recommendation . In a multivariate model a provider recommendation was the only variable that was significantly associated with vaccination ( OR 41.9 ; 95 % CI 20.7 - 84.9 ) . CONCLUSION Rates of influenza vaccination during pregnancy are low . There is a significant relationship between healthcare provider recommendation for the vaccination and vaccine uptake . Increasing provider recommendation rates has the potential to increase coverage rates of influenza vaccination in pregnant women 
    Output:
    
There was consistently a relationship between SES and influenza immunization , which varied according to how SES was measured .