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Eurosurveillance, Volume 18, Issue 15, 11 April 2013
Surveillance and outbreak reports
Prevailing effectiveness of the 2009 influenza A(H1N1)pdm09 vaccine during the 2010/11 season in Sweden
  1. Department of Analysis and Prevention, Swedish Institute for Communicable Disease Control, Solna, Sweden
  2. Department of Communicable Disease Control and Prevention, Skåne County, Malmö, Sweden
  3. Department of Communicable Disease Control and Prevention Jämtland County, Östersund, Sweden
  4. Department of Communicable Disease Control and Prevention, Stockholm County, Stockholm, Sweden
  5. Department of Medicine, Unit of Infectious Diseases, Karolinska Institute, Solna, Sweden
  6. Department of Communicable Disease Control and Prevention, Jönköping Count, Jönköping, Sweden
  7. Department of Communicable Disease Control and Prevention, Västra Götaland County, Gothenburg, Sweden
  8. Department of Communicable Disease Control and Prevention, Dalarna County, Falun, Sverige
  9. Department of Communicable Disease Control and Prevention, Gävleborg County, Gävle, Sweden
  10. Department of Communicable Disease Control and Prevention, Värmland County, Karlstad, Sweden
  11. Department of Communicable Disease Control and Prevention, Norrbotten County, Luleå, Sweden
  12. Department of Diagnostics and Vaccinology, Swedish Institute for Communicable Disease Control, Solna, Sweden

Citation style for this article: Widgren K, Magnusson M, Hagstam P, Widerström M, Örtqvist Å, Einemo IM, Follin P, Lindblom A, Mäkitalo S, Wik O, Österlund A, Grünewald M, Uhnoo I, Linde A. Prevailing effectiveness of the 2009 influenza A(H1N1)pdm09 vaccine during the 2010/11 season in Sweden. Euro Surveill. 2013;18(15):pii=20447. Available online:
Date of submission: 23 April 2012

Sixty per cent of the Swedish population received the monovalent AS03-adjuvanted pandemic influenza vaccine in the autumn of 2009. We assessed the age-specific effectiveness of this pandemic vaccine against hospitalisation with laboratory-confirmed influenza A(H1N1)pdm09 during the season 2010/11, in the age group from six months to 64 years in Sweden. The screening method was applied to available surveillance data. Our results suggest a prevailing effectiveness of 72% (95% confidence interval (CI): 63–80%) with the highest effectiveness among children, six months to nine years-old (92%, 95%CI: 80–97%). However, there were limitations in data quality and study design due to the lack of systematic recording of administered vaccinations, which underline the importance of preparing for an evaluation when planning for large public health actions. Despite these limitations, we believe the results reflect true, high prevailing vaccine effectiveness. Indeed, there were fewer deaths caused by influenza and the impact of influenza on intensive care units was less severe during the 2010/11 season in Sweden than in countries with lower pandemic vaccination coverage. The association between the pandemic vaccine and narcolepsy has increased the importance of assessing the risks and benefits of the vaccination; studies on the effectiveness and the duration of protection are needed for this.


In the pandemic situation of 2009, Sweden chose to conduct a mass vaccination campaign using the Pandemrix vaccine, a monovalent vaccine containing an influenza A/California/7/2009(H1N1)v-like strain, adjuvanted with AS03 (squalene, DL-alpha-tokoferol and polysorbate 80). This was the only pandemic vaccine available at the time in Sweden. The whole population was offered the vaccination free of charge. Within a period of 10 weeks from October to December 2009, 60% of the population received at least one dose of the pandemic influenza vaccine. Thus, Sweden had the highest national pandemic vaccination coverage in the European Union [1]. During seasonal influenza years, only non-adjuvanted trivalent inactivated influenza vaccines have been used in the country. Adjuvanted vaccines are considered to elicit a stronger, longer-lasting and broader immune response [2,3] and adjuvants make it possible to save time by producing larger quantities of vaccine with a smaller amount of antigen. Therefore, adjuvanted vaccines had been recommended by the World Health Organization in preparation for a pandemic of influenza A(H5N1) in 2005 [4] and were also supported for influenza A(H1N1)pdm09 vaccines in 2009 [5]. Accordingly, the Swedish government had already in 2007 closed a contract with a pharmaceutical company for the purchase of an adjuvanted vaccine for the entire population in the case of an influenza pandemic [6].

Several studies have been carried out worldwide to investigate the effectiveness of pandemic influenza vaccines during the first pandemic season 2009/10 [7-22]. Studies of AS03-adjuvanted, monovalent vaccines showed high effectiveness against influenza hospitalisation [17] and laboratory-confirmed influenza attended in primary care [18-21]. In Sweden, the weekly vaccine effectiveness against notified, laboratory-confirmed pandemic influenza was estimated at 87–95% in the population of Stockholm (ca. 2 million people) [22].

In the subsequent influenza season, 2010/11, the pandemic virus strain was included in the trivalent seasonal vaccine, together with an influenza A/Perth/16/2009 (H3N2) strain and an influenza B/Brisbane/60/2008 strain. The seasonal vaccination was offered free of charge or at reduced cost to people belonging to risk groups and people aged 65 years and older. During that season the pandemic strain was in circulation, mainly around the New Year [23]. The close match between the 2009 pandemic vaccine strain and the 2010/11 influenza A(H1N1)pdm09 virus strain made it likely that the population could in the post-pandemic season still be protected by the pandemic vaccine administered more than one year earlier.

The pandemic mass vaccination in 2009 was a large and costly undertaking and therefore needed to be monitored and evaluated. However, at the time, a country-wide evaluation of the vaccine effectiveness was not planned, and data for it were not systematically collected in Sweden. Since evidence emerged on an association between the pandemic vaccination and the severe adverse event narcolepsy in children [24-29], an evaluation has become even more important. Studies on the effectiveness and the duration of protection induced by the pandemic vaccine are needed for an overall assessment of the vaccination and its risks and benefits. For this study, we used the best available data and methods to assess quickly the prevailing vaccine effectiveness against hospitalisation with laboratory-confirmed influenza A(H1N1)pdm09 one year after the pandemic vaccination campaign.


In Sweden, communicable disease control at the county level is coordinated by the 21 County Medical Officers (CMO). Currently, vaccination coverage data is also collected and administered by the CMOs. Different techniques for registering pandemic vaccination data were used in 2009, including: local vaccination registers, data extraction from medical charts, and a web-based vaccination register implemented in some counties (Svevac). Nine of 21 CMOs were able to provide the age-specific number of pandemic vaccinations (dose 1) administered during the autumn 2009. These nine counties comprise 68% of the Swedish population, they are scattered geographically (Figure 1) and cover the three major urban areas as well as the more scarcely populated areas in the north.

Figure 1. Counties providing age-specific coverage for the Pandemrix vaccine, Sweden, 2009

The organisation of the healthcare system does not differ much between the Swedish counties. The overall vaccination coverage in all counties versus those counties where age-specific vaccination coverage was available had overlapping ranges (54–70% versus 54–69%). We assumed that the vaccination coverage in counties with unknown age-specific coverage followed a normal distribution with the same, but unknown, mean as in the counties with known coverage. The total vaccination coverage in 2009, PPV, was estimated as follows:


where wi and pi are the proportion of the Swedish population and vaccination coverage in county I, respectively, S is the sample of counties with known vaccination coverage, and µ̂ is the estimate of the mean vaccination coverage, based on the counties with known coverage in S.

To calculate age-specific vaccination coverage we used population data as of December 2009 (Statistics Sweden).

Pandemic influenza was made notifiable with full patient identification in Sweden at the start of the 2009 pandemic and has since remained so. Laboratories are obliged by law to report all laboratory-confirmed cases to the CMO and the Swedish Institute for Communicable Disease Control (Smittskyddsinstitutet; SMI). The diagnostic method used is an in-house H1N1-specific real-time PCR. Sensitivity and specificity were assessed by quality control panels from SMI. Doctors who admit a patient to hospital for suspected pandemic influenza are also obliged by law to report the case. Clinical signs and symptoms are not specified in the national case definition, which is based on laboratory confirmation, as is the case for all notifiable diseases in Sweden. Swabbing of suspected cases is in principle mandatory, since pandemic influenza is a notifiable disease. Any delay between onset of symptoms and swabbing is accepted. Laboratory notifications of confirmed cases are matched in SmiNet (the national database for notifications) to notification forms of hospitalised cases. For hospitalised cases, the notification form contains voluntary questions on vaccination and risk group status. Risk groups are defined as people with chronic respiratory disease, cardiovascular disease, obesity of class III (body mass index >40kg/m2), neurological disorders with impaired breathing capacity, immunosuppression, chronic liver or kidney failure, severe diabetes, severe asthma and pregnancy as well as cerebral palsy or other neuromuscular disorders in children. All clinical notification forms were examined and updated by the CMOs at the end of the 2010/11 influenza season.

In this study, we included cases who had a laboratory-confirmed influenza A(H1N1)pdm09 infection and who were admitted to hospital according to a notification form from a hospital doctor or according to the CMO. We only included cases who were hospitalised during the peak of the influenza A(H1N1)pdm09 season 2010/11, defined as the time period with at least 50 notified cases per week nationally, i.e. between week 52/2010 and week 7/2011. Cases with unknown pandemic vaccination status were excluded from the main analysis. The excluded cases were compared to cases with known vaccination status with regard to potential confounding factors, such as age, sex and risk group status, using appropriate statistical tests (Table 1).

Vaccine effectiveness (VE) was assessed using the screening method, where data on vaccination coverage among cases (proportion of cases vaccinated, PCV) and in the population (proportion of population vaccinated, PPV) were inserted in the formula VE=((PPV-PCV)/(PPV(1-PCV))*100 [30]. We used the method described by Farrington to obtain confidence intervals (CI) [31] and used the point estimate of PPV for the calculations.

For both PCV and PPV estimates, age at the time of the 2009 pandemic vaccination was used, i.e. more than a year before the outcome. Overall age-adjusted vaccine effectiveness was estimated as well as age-specific vaccine effectiveness for the following age groups: six months to nine years, 10 to 19 years, 20 to 39 years and 40 to 64 years. Children younger than six months at the time of the vaccination campaign were not eligible for the vaccination. Those aged 65 years and older had high vaccination coverage of the 2010/11 seasonal vaccine, which could have interfered with the results. Thus, both groups were excluded from the analysis. There was not enough statistical power to stratify both by age group and county. We chose to stratify by age group as this is a biologically more plausible confounder. We also carried out an analysis restricted only to cases that did not belong to risk groups. Since we did not have data on vaccination coverage in risk groups in the population, the entire general population of the same age was used as control group for this analysis.


Some 320 cases with influenza A(H1N1)pdm09 infection were hospitalised during the peak period (week 52/2010 to week 7/2011). Thirty-eight cases were younger than six months in the autumn of 2009 and 30 cases were 65 years or older, and therefore excluded. Vaccination status regarding the pandemic vaccine was known for 215 (85%) of the remaining 252 cases, and these were kept in the final analysis. A majority of cases were between 20 and 64 years-old (Table 1). There were no statistically significant differences with regard to age, sex or risk group status between the groups with and without known vaccination status (Table 1).

Table 1. Notified influenza A(H1N1)pdm09 casesa hospitalised in Sweden during the peak of the 2010/11 influenza A(H1N1)pdm09 season (n=252)

Vaccination coverage was estimated at 60% in the general population (aged six months to 64 years), with the highest coverage of 79% in children between the age of six months and nine years (Figure 2).

Figure 2. Age-specific coverage of pandemic influenza vaccination modelled on reports from ninea of 21 counties in Sweden, 2009 

The overall age-adjusted (six months to 64 years) vaccine effectiveness was 72% (95% CI: 63–80%), and highest in the youngest age group six months to nine years, with 92% (95% CI: 80–97%) (Table 2).

Table 2. Age-specific effectiveness for the pandemic influenza vaccine administered during the autumn of 2009 against hospitalisation with influenza A(H1N1)pdm09 infection during the peak of the influenza A(H1N1)pdm09 season in 2010/11 in Sweden 


At least 43% of hospitalised influenza cases belonged to a risk group (Table 1). When restricting the analysis only to cases not belonging to a risk group, the vaccine effectiveness estimate increased to 82% (95%CI: 72–89%).


We applied the screening method to available surveillance data to assess the impact in the post-pandemic season 2010/11 of the adjuvanted pandemic influenza vaccine administered more than one year previously. Our results suggest a high prevailing vaccine effectiveness against hospitalisation with laboratory-confirmed influenza A(H1N1)pdm09 among the Swedish population aged between six months and 64 years, with the highest protection in the young children. If verified by other studies, this could have important public health implications. Trivalent inactivated vaccines against seasonal influenza have not successfully induced protective immunity in children naïve to the virus [32-34]. Adjuvanted vaccines induce higher levels of haemagglutination inhibition (HI) and neutralising antibodies against influenza virus in naïve children [35-37] and in adults [38] than the non-adjuvanted trivalent vaccines. High antibody persistence one year after vaccination was demonstrated in children who had received two doses of the AS03-adjuvanted vaccine in the United Kingdom, with a significant difference compared with children who had received a non-adjuvanted vaccine [39]. In a study of children in Canada, persistent antibody titres were found after one dose of an AS03-adjuvanted influenza vaccine [40]. In addition, Swedish serological data confirmed that more than 80% of 5–14 year-old Swedish children had sustained elevated HI-antibody titres of ≥40 in May 2011, 18 months after the pandemic vaccination campaign [41]. Although antibody titres are an unspecific marker for influenza immunity, these results are in line with our findings of persistent protection. Such lasting protection and the ability to induce priming in children are extremely beneficial in a pandemic situation.

However, the association between the pandemic influenza vaccine and narcolepsy seen in children in Finland, Ireland, Norway and Sweden [24-29] has raised serious concerns about the safety of Pandemrix. The European Medicines Agency recommends a restricted use of the vaccine in persons younger than 20 years [42]. An association with such a severe adverse event makes recommendations to use Pandemrix and similarly adjuvanted vaccines very difficult to adopt and implement, probably even in the context of a new pandemic. Thus, the association between the vaccine and narcolepsy needs to be thoroughly understood in order to make decisions on the future use of similar vaccines. Many studies on the link between narcolepsy and the pandemic vaccine are ongoing and will hopefully provide guidance on this issue.

Before the pandemic, very few studies had looked at the lasting protection of influenza vaccination. However, several studies have now investigated the prevailing vaccine effectiveness of pandemic influenza vaccines in the 2010/11 season [43-48]. Firstly, some of these studies have found that the vaccine effectiveness was higher for people who had received both the pandemic vaccine and the seasonal 2010/11 trivalent influenza vaccine than for those who had received only one [44,45]. Secondly, compared with our estimates, some have found lower prevailing vaccine effectiveness after receipt of only the pandemic vaccine [43-46]. However, the results from these studies cannot be easily compared with ours for one or several reasons. (i) They used another outcome: primary care-attended laboratory-confirmed influenza instead of severe influenza; (ii) they used other pandemic vaccines or a mix of vaccines; (iii) they included different age groups and/or restricted the analysis to risk groups or people with comorbidities. Moreover, these studies used more elaborate study designs such as the test-negative case–control design or cohort design. By using the screening method, our study is more prone to bias and confounding, and differences could be explained by positive confounding in our study.

Nonetheless, our findings of a high prevailing effectiveness of the pandemic vaccine, particularly in the young, are supported by results from Canada, where a similar vaccine was used. In a test-negative case–control study the prevailing effectiveness of an AS03-adjuvanted monovalent pandemic vaccine was 66% in all patients and 76% among young adults [47]. In addition, the high degree of protection from vaccination in Sweden may have reduced the virus burden in the population, resulting in lower infectious doses with a more limited possibility of overcoming the vaccine-induced protection.

Our aim was to achieve an assessment of prevailing vaccine effectiveness easily and quickly, but it proved to be a cumbersome process, due to the lack of vaccination registers. This underlines the importance of concurrent planning of the implementation and the evaluation of large public health actions. We used the best available data and method. However, both have inherent limitations and the results need to be interpreted with caution. We tried to address the potential limitations one by one. To increase the quality of the influenza surveillance data in the country, the CMOs were asked to cross-check and validate vaccination and hospitalisation status for each notified case at the end of the season. The completeness of the data was more difficult to improve or assess. All laboratory-confirmed cases are subject to mandatory reporting, which is mainly an automated process. Swabbing of suspected cases is in principle also mandatory as pandemic influenza is a notifiable disease, but we could not assess the extent to which this was done and thus how complete the reporting was. As expected, when working with surveillance data we faced issues with missing data. Because we aimed at a quick and easy estimate of prevailing vaccine effectiveness, we chose to exclude cases without data on vaccination status rather than using imputation techniques. There were no apparent differences between cases with and without data on vaccination status in the descriptive analysis (Table 1). Nonetheless, there could have been differences in these groups that we have failed to adjust for.

Vaccine effectiveness studies can be affected both by ’confounding by indication’ and by confounding due to ’healthy vaccinee’ effect, leading to an underestimation and an overestimation of results, respectively [49]. Also, the screening method may overestimate the vaccine effectiveness when the coverage is high [30]. Generally, the main confounder in vaccine effectiveness studies is age; to address this we stratified and adjusted our analysis by age group. Furthermore, since we used surveillance data, we were not able to adjust for receipt of the trivalent 2010/11 seasonal influenza vaccine, which was a major confounder in other studies [44,45]. In order to address this limitation, we restricted our analysis to an age group where seasonal vaccination is generally not recommended except for risk groups. Only 7% (10 of 141 cases with known seasonal vaccination status; data not shown) of hospitalised cases had had the seasonal vaccination, and according to vaccination coverage surveys carried out by SMI and others [50], this is in line with the seasonal vaccination coverage in this age group in previous years. Hence, this factor should not play a major role as a confounder in our analysis. On the other hand, the impact of natural immunity due to infection during the pandemic season is difficult to predict. Mass vaccination was carried out concurrently with the peak of the pandemic. Refusal, delay or even request of vaccination due to ongoing or previous influenza symptoms as well as boosting of vaccine response due to subclinical infection is plausible. Again, both an overestimation and an underestimation of the results are possible.

Yet another factor to take into account is risk group status. Nearly half of the hospitalised cases included in the study belonged to a risk group. There is no national data on exact risk group prevalence in the general population, although, according to surveys carried out by SMI between 4% and 14% of people in the relevant age groups consider themselves to belong to a risk group for influenza vaccination. It is fair to say that people belonging to risk groups are overrepresented among our cases. These groups were targeted and prioritised for pandemic vaccination and higher vaccination coverage among them is anticipated, making risk group status a likely confounder in our study. Since we could not adjust for this factor, we carried out a sensitivity analysis; vaccine effectiveness slightly increased when we restricted the analysis to cases that did not belong to risk groups, an indication that failing to adjust for risk factor status have at least not lead to an overestimation of results in our main analysis.

Sweden had 1.1 influenza-related deaths per 106 population during the winter 2010/11 [23], a rate dramatically lower than described in countries with lower pandemic vaccination coverage [51,52], and the impact on intensive care units was substantially lower in Sweden than elsewhere [51-53]. In fact, some countries have described a higher burden of severe disease in the post-pandemic season than during the pandemic season [51,54], which was not the case for Sweden [23]. Notwithstanding the limitations above, we believe our estimates reflect a high, prevailing influenza vaccine effectiveness of the adjuvanted vaccine administered in 2009, protecting a large part of the Swedish population against hospitalisation with influenza A(H1N1)pdm09 infection also during the 2010/11 season.

We would like to thank reporting doctors. We would also like to thank Marta Valenciano at EpiConcept, Baltazar Nunes at the Instituto Nacional de Saúde Dr Ricardo Jorge and the I-MOVE network as well as AnnaSara Carnahan at the Swedish Institute for Communicable Disease Control.


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