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1.
Euro Surveill ; 18(5)2013 Jan 31.
Article in English | MEDLINE | ID: mdl-23399425

ABSTRACT

Within the Influenza Monitoring Vaccine Effectiveness in Europe (I-MOVE) project we conducted a multicentre case­control study in eight European Union (EU) Member States to estimate the 2011/12 influenza vaccine effectiveness against medically attended influenza-like illness (ILI) laboratory-confirmed as influenza A(H3) among the vaccination target groups. Practitioners systematically selected ILI / acute respiratory infection patients to swab within seven days of symptom onset. We restricted the study population to those meeting the EU ILI case definition and compared influenza A(H3) positive to influenza laboratory-negative patients. We used logistic regression with study site as fixed effect and calculated adjusted influenza vaccine effectiveness (IVE), controlling for potential confounders (age group, sex, month of symptom onset, chronic diseases and related hospitalisations, number of practitioner visits in the previous year). Adjusted IVE was 25% (95% confidence intervals (CI): -6 to 47) among all ages (n=1,014), 63% (95% CI: 26 to 82) in adults aged between 15 and 59 years and 15% (95% CI: -33 to 46) among those aged 60 years and above. Adjusted IVE was 38% (95%CI: -8 to 65) in the early influenza season (up to week 6 of 2012) and -1% (95% CI: -60 to 37) in the late phase. The results suggested a low adjusted IVE in 2011/12. The lower IVE in the late season could be due to virus changes through the season or waning immunity. Virological surveillance should be enhanced to quantify change over time and understand its relation with duration of immunological protection. Seasonal influenza vaccines should be improved to achieve acceptable levels of protection.


Subject(s)
Influenza A Virus, H3N2 Subtype/immunology , Influenza A Virus, H3N8 Subtype/immunology , Influenza Vaccines/administration & dosage , Influenza, Human/epidemiology , Influenza, Human/prevention & control , Vaccination/statistics & numerical data , Adolescent , Adult , Aged , Case-Control Studies , Child , Child, Preschool , Confidence Intervals , Europe/epidemiology , Female , Hospitalization/statistics & numerical data , Humans , Infant , Infant, Newborn , Influenza A Virus, H3N2 Subtype/isolation & purification , Influenza A Virus, H3N8 Subtype/isolation & purification , Influenza Vaccines/immunology , Influenza, Human/immunology , Influenza, Human/virology , Logistic Models , Male , Middle Aged , Nasopharynx/virology , Nose/virology , Reverse Transcriptase Polymerase Chain Reaction , Seasons , Sentinel Surveillance , Treatment Outcome , Young Adult
2.
Euro Surveill ; 14(44)2009 Nov 05.
Article in English | MEDLINE | ID: mdl-19941774

ABSTRACT

Within I-MOVE (European programme to monitor seasonal and pandemic influenza vaccine effectiveness (IVE)) five countries conducted IVE pilot case-control studies in 2008-9. One hundred and sixty sentinel general practitioners (GP) swabbed all elderly consulting for influenza-like illness (ILI). Influenza confirmed cases were compared to influenza negative controls. We conducted a pooled analysis to obtain a summary IVE in the age group of >or=65 years. We measured IVE in each study and assessed heterogeneity between studies qualitatively and using the I2 index. We used a one-stage pooled model with study as a fixed effect. We adjusted estimates for age-group, sex, chronic diseases, smoking, functional status, previous influenza vaccinations and previous hospitalisations. The pooled analysis included 138 cases and 189 test-negative controls. There was no statistical heterogeneity (I2=0) between studies but ILI case definition, previous hospitalisations and functional status were slightly different. The adjusted IVE was 59.1% (95% CI: 15.3-80.3%). IVE was 65.4% (95% CI: 15.6-85.8%) in the 65-74, 59.6% (95% CI: -72.6 -90.6%) in the age group of >or=75 and 56.4% (95% CI: -0.2-81.3%) for A(H3). Pooled analysis is feasible among European studies. The variables definitions need further standardisation. Larger sample sizes are needed to achieve greater precision for subgroup analysis. For 2009-10, I-MOVE will extend the study to obtain early IVE estimates in groups targeted for pandemic H1N1 influenza vaccination.


Subject(s)
Influenza A Virus, H1N1 Subtype/immunology , Influenza Vaccines/standards , Influenza, Human/epidemiology , Population Surveillance/methods , Aged , Case-Control Studies , Disease Outbreaks/statistics & numerical data , Europe/epidemiology , Family Practice , Female , Humans , Influenza A Virus, H1N1 Subtype/isolation & purification , Influenza, Human/prevention & control , Interviews as Topic , Male , Pilot Projects , Program Evaluation
3.
Cent Eur J Public Health ; 8(2): 109-13, 2000 May.
Article in English | MEDLINE | ID: mdl-10857049

ABSTRACT

In the period of 1990-1994 an increase of all causes mortality for 35-74 years old males was observed both in Pécs and in all Hungary. From 1994 to 1997 the mortality decreased. Similar changes, but of smaller dimension, were observed in the female population. The increasing mortality of the early 1990s is attributed primarily to the extra psycho-social stress of this period. The data of the population survey at Pécs in 1995-96 were compared to the data of earlier surveys. The mean blood total cholesterol levels and the prevalence of smoking decreased from 1990 to 1996. The prevalence of hypertension and male obesity increased. Physical inactivity, unhealthy diet and lack of improvement of diet still represent significant health problems. High prevalence of increased gamma-glutamyl transferase indicate high prevalence of excess alcohol consumption. The risk factor profile of 18-25 year old males is very unfavourable. Smoking prevalence in females aged 26-35 years exceeds that of males of the same age group. Preventive efforts should be focused to young males and females.


Subject(s)
Health Status Indicators , Mortality/trends , Adolescent , Adult , Aged , Cause of Death , Female , Health Behavior , Humans , Hungary/epidemiology , Life Style , Male , Middle Aged , Population Surveillance , Prevalence , Risk Factors , Urban Health/trends
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