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Volume 18, Number 5—May 2012

No Association between 2008–09 Influenza Vaccine and Influenza A(H1N1)pdm09 Virus Infection, Manitoba, Canada, 2009

Salaheddin M. MahmudComments to Author , Paul Van Caeseele, Gregory Hammond, Carol Kurbis, Tim Hilderman, and Lawrence Elliott
Author affiliations: University of Manitoba, Winnipeg, Manitoba, Canada (S.M. Mahmud, P. Van Caeseele, G. Hammond, T. Hilderman, L. Elliott); Winnipeg Regional Health Authority, Winnipeg (S.M. Mahmud, C. Kurbis); Cadham Provincial Laboratory, Winnipeg (P.V. Caeseele); Manitoba Health, Winnipeg (T. Hilderman, L. Elliott)

Cite This Article


We conducted a population-based study in Manitoba, Canada, to investigate whether use of inactivated trivalent influenza vaccine (TIV) during the 2008–09 influenza season was associated with subsequent infection with influenza A(H1N1)pdm09 virus during the first wave of the 2009 pandemic. Data were obtained from a provincewide population-based immunization registry and laboratory-based influenza surveillance system. The test-negative case–control study included 831 case-patients with confirmed influenza A(H1N1)pdm09 virus infection and 2,479 controls, participants with test results negative for influenza A and B viruses. For the association of TIV receipt with influenza A(H1N1)pdm09 virus infection, the fully adjusted odds ratio was 1.0 (95% CI 0.7–1.4). Among case-patients, receipt of 2008–09 TIV was associated with a statistically nonsignificant 49% reduction in risk for hospitalization. In agreement with study findings outside Canada, our study in Manitoba indicates that the 2008–09 TIV neither increased nor decreased the risk for infection with influenza A(H1N1)pdm09 virus.

The nature of the relationship between receipt of the 2008–09 seasonal inactivated trivalent influenza vaccine (TIV) and the risk for infection with the pandemic (H1N1) 2009 virus strain, hereafter referred to as A(H1N1)pdm09, remains unclear. A case–control study in Canada that used data from a network of sentinel physicians monitoring influenza vaccine effectiveness in the provinces of Alberta, British Colombia, Ontario, and Quebec found an increased risk for influenza A(H1N1)pdm09 virus infection among persons who received the 2008–09 TIV (odds ratio [OR] 1.7, 95% CI 1.0–2.7); an increased risk for severe illness was not detected (1). In addition, 3 other studies conducted by the same team found a 1.4- to 2.5-fold increased risk for infection (laboratory confirmed) with influenza A(H1N1)pdm09 virus among persons who received the 2008–09 TIV (1). The 3 studies were 1) a test-negative case–control study in Ontario; 2) a household transmission cohort study in Quebec; and 3) a conventional case–control study using population controls in Quebec.

The results of these studies in Canada were not confirmed by studies conducted elsewhere. In fact, several studies using different designs found that TIV partially prevented or had no effect on infections with the pandemic strain (216). It has been suggested that the finding in Canada of an increased risk for influenza A(H1N1)pdm09 virus infection among persons who received the 2008–09 TIV might be unique to Canada; the increased risk might be related to the use of the domestically manufactured vaccine (1) or to the timing of the pandemic in relation to the most recent influenza season and the types of circulating influenza strains during that season (17,18). At the time of the pandemic, the Canadian province of Manitoba was not part of the Canadian vaccine effectiveness monitoring network. However, the availability of a provincewide, population-based immunization registry and laboratory-based influenza surveillance system provided a unique opportunity to investigate these issues in Manitoba.

In the first wave of the pandemic (May–August 2009), Manitoba was more severely affected than any other Canadian province, accounting for 50% of hospital intensive care unit admissions attributable to the virus in Canada (19,20). TIVs used in Manitoba during the 2008–09 influenza season were identical to those used elsewhere in Canada; they included 15 μg hemagglutinin each of A/Brisbane/59/2007 (H1N1)–like virus, A/Brisbane/10/2007 (H3N2)–like virus, and B/Florida/4/2006-like virus. These were the 3 strains recommended that year by the World Health Organization for influenza vaccines in the Northern and Southern Hemispheres (21). In Manitoba, as in other provinces, ≈75% of the administered seasonal influenza vaccine doses were manufactured domestically (Fluviral; GlaxoSmithKline, Mississauga, Ontario, Canada); imported vaccines, predominantly Vaxigrip (Sanofi Pasteur Ltd, Toronto, Ontario, Canada), comprised the remaining 25%. The live attenuated influenza vaccine was not available in Canada during the 2008–09 season.

To investigate whether use of TIV in Manitoba was associated with influenza A(H1N1)pdm09 virus infection during the first wave of the pandemic, we conducted a population-based case–control study using data from Cadham Provincial Laboratory (CPL) and the Manitoba Immunization Monitoring System. The test-negative case–control design used in this study is similar to the design of the Ontario study (1).


Data Sources

This study was conducted using de-identified records obtained by linking the CPL database, the Manitoba Immunization Monitoring System, and other Manitoba Health (MH) administrative databases after securing the approval of the Research Ethics Board of the University of Manitoba and the Health Information Privacy Committee of MH. MH provides publicly funded health insurance coverage to 99% of the 1.2 million residents of Manitoba. The coverage includes laboratory testing and hospital and outpatient physician services, including immunization and laboratory services. Eligibility for coverage is not based on age or income. For administrative purposes, MH maintains several centralized electronic databases that can be linked by using a unique health services number.

Study Population

All Manitoba residents >6 months of age who had respiratory specimens submitted to CPL, the province’s only public health laboratory, for influenza testing during April 27–August 21, 2009, were included in this analysis. During the pandemic, guidelines for testing patients seeking care for influenza-like illness were issued by MH; anecdotal evidence indicated that, to a great extent, physicians followed the guidelines. Patients were tested in hospital and ambulatory care settings; the specimens obtained were predominantly nasopharyngeal and nasal swab samples. For the duration of the first pandemic wave, all influenza testing in Manitoba was completed at CPL by using a real-time duplex reverse transcription PCR (RT-PCR) developed by the National Microbiology Laboratory (22). We obtained information about influenza testing from CPL’s electronic database.

Study Design

Consistent with the design of the Ontario test-negative case–control study (1), we identified 3 nonoverlapping study groups: 1) the hospitalized cases group comprised persons in the study population (as defined above) who had real-time duplex RT-PCR test results positive for influenza A(H1N1)pdm09 virus and who had been admitted to a hospital in Manitoba around the time of testing (within ± 1 week of collection of their first influenza A(H1N1)pdm09 virus–positive specimen); 2) the community cases group comprised A(H1N1)pdm09-positive persons who had not been hospitalized during April–August 31, 2009; 3) the community controls group comprised persons who were not hospitalized during this period and who tested negative for influenza A and B. Identification of these 3 groups enabled us to assess whether use of TIV was associated with the detection of influenza A(H1N1)pdm09 virus infection (by contrasting the odds of TIV use among community case-patients and community controls). Identification of the 3 groups also enabled us to assess whether use of TIV was associated with increased risk for hospitalization as an indication of the severity of disease (by contrasting the odds of TIV use among hospitalized and community case-patients). Information about hospitalization status was obtained from the Hospital Separation database.

Determination of Vaccination Status

For all study participants, information about receipt of TIV and polyvalent pneumococcal polysaccharide (PPV23) vaccine during or before the 2009–10 influenza season was obtained from the Manitoba Immunization Monitoring System, the population-based provincewide registry that has recorded virtually all vaccinations administered to Manitobans since 1988. In addition to details about patients, the database stores information about the date of vaccination and the type and dose, but not the brand name, of the vaccine administered. The recorded vaccination information is considered highly complete and accurate (23).

Information about Potential Confounders

Study participants were assigned to a neighborhood of residence based on their postal code as recorded in the MH Population Registry. Information about socioeconomic status was obtained by using the postal code of residence and a previously validated area-based Socioeconomic Factor Index (SEFI) (24).

Information about coexisting diseases and propensity to seek health care (measured as the number of hospital and family physician visits in the previous 12 months) was obtained from the Hospital Separation and Physician Claims databases. Since 1971, these databases have recorded information about most hospital admissions and outpatient physician visits, respectively. Previously validated algorithms were used to identify various chronic diseases and other indications for vaccination (25) (Table 1). Immunosuppression was defined as having a diagnosis of cancer, AIDS, or another immunodeficiency disorder or as receiving prescriptions for immunosuppressive drugs. Information about the use of immunosuppressant and antimicrobial drugs and neuraminidase inhibitors was obtained from the Drug Program Information Network, the comprehensive database of all out-of-hospital prescriptions dispensed in Manitoba. Pregnancy status was determined from the databases mentioned above by using disease and tariff codes for different conditions and procedures indicative of ongoing pregnancy or the completion of pregnancy (26) (Table 1).

Statistical Analysis

We used unconditional logistic regression models (fitted to community case-patients and community controls) to estimate odds ratios (ORs) for the association between the receipt of the 2008–09 TIV and subsequent infection with laboratory-confirmed influenza A(H1N1)pdm09 virus while adjusting for confounding. Results are presented for unadjusted models (model A) and for models that were adjusted a priori for age, sex, place of residence, SEFI, and week of specimen collection (to account for changes in infection incidence and laboratory testing practices) (model B). Other potential confounders (Table 1) were included in the fully adjusted models if their inclusion resulted in a >2% change in crude ORs. Using this criterion, we also adjusted the final models (model C) for pregnancy, antiviral drug use, presence of a chronic or immunocompromising medical condition, and number of hospital admissions and family physician visits in the previous 12 months. Model C also included mutual adjustment for the 2007–08 TIV and the PPV23.

These analyses were repeated after stratification by potential confounders and effect modifiers, such as age group, place of residence, epidemic phase (before and after the peak), and presence of chronic conditions. We also assessed for possible effect modification between the 2008–09 TIV and the 2007–08 TIV and the PPV23. The statistical significance of adding the interaction terms was assessed by using a likelihood ratio test. Similar analyses, contrasting the odds of TIV use among hospitalized case-patients with those among community case-patients, were performed to assess whether use of the 2008–09 TIV was associated with increased risk for hospitalization.


During the study period, 4,275 persons were tested for influenza. Of them, 879 (20.6%) were positive for influenza A(H1N1)pdm09 virus, 3,391 (79.3%) were negative for all influenza viruses, and 5 who were positive for influenza A but negative for the pandemic virus were excluded from study. We also excluded 35 persons (8 case-patients, 27 controls) who did not usually reside in Manitoba and 185 infants (26 case-patients, 159 controls) who were <6 months of age. A total of 726 hospitalized test-negative controls and 14 case-patients who were hospitalized during the study period but not around the time of testing were also excluded. Thus, there was a total of 3,310 study participants: 205 hospitalized case-patients, 626 community case-patients, and 2,479 community test-negative controls.

Consistent with previous reports from Manitoba (19,27), we found that the influenza A(H1N1)pdm09 virus–positive case-patients during the first pandemic wave were younger and more socioeconomically disadvantaged than controls (Table 2). Probably because they were younger, community case-patients had fewer prior hospitalizations and physician visits and were less likely than controls to have had a diagnosed chronic or immunocompromising medical condition. Consistent with the literature (20,27), we also found that younger children, pregnant women, residents of northern Manitoba, socioeconomically disadvantaged persons, and persons with chronic diseases were more likely to be hospitalized for infection with the pandemic virus.

About 17% of the community case-patients and 23% of the community controls received TIV during the 2008–09 influenza season (Table 3). The crude OR for the association of TIV receipt with subsequent infection with influenza A(H1N1)pdm09 virus was 0.7 (95% CI 0.6–0.9), corresponding to a vaccine effectiveness estimate of 30%. Adjusting for age, sex, region of residence, SEFI, and week of specimen collection (model B) resulted in an OR of 1.1 (95% CI 0.8–1.4). Additional adjustment for all other measured confounders (model C) did not appreciably change the OR estimates (OR 1.0, 95% CI 0.7–1.4).

In analyses limited by small numbers, study participants who received the seasonal 2007–08 and the 2008–09 TIV had a 40% increased risk for influenza A(H1N1)pdm09 virus infection compared with those who received neither vaccine. In general, there was a trend of increasing risk for influenza A(H1N1)pdm09 virus detection with the receipt of more TIVs over the preceding 5 years (Table 3). However, annual receipt of TIV over the preceding 5 years was inversely associated with the risk for pandemic virus detection. In addition, having ever received PPV23 was not associated with increased risk for influenza A(H1N1)pdm09 detection (OR 0.9, 95% CI 0.6–1.5).

There was no evidence that the association between receipt of the 2008–09 TIV and influenza A(H1N1)pdm09 detection varied by the sex, age, or place of residence of study participants; by the presence of chronic medical conditions in participants; or by the epidemic phase (Table 4). For example, the OR was 1.2 (95% CI 0.6–2.4) for participants who were >50 years of age, and the OR was 0.9 (95% CI 0.6–1.3) for younger participants (pinteraction = 0.31). The OR was 0.9 (95% CI 0.6–1.3) among those who did not have a chronic disease and 1.3 (95% CI 0.7–2.3) for those who did (pinteraction = 0.33).

Among participants with laboratory-confirmed influenza A(H1N1)pdm09 virus infection, the receipt of the 2008–09 TIV was associated with a statistically nonsignificant reduction in the risk for hospitalization (OR 0.6, 95% CI 0.3–1.3) (Table 5). On the other hand, having ever received PPV23 was associated with a statistically nonsignificant increase in risk for hospitalization. However, these analyses were limited by small numbers, which resulted in wide CIs and, likely, unstable estimates.

With 626 community case-patients and 2,479 community controls and by using a 2-sided 5% significance level, our study had ≈80% power to detect an OR as small as 1.3 (30% increase in risk), assuming 19% of controls received the 2008–09 TIV (28). With 205 hospitalized case-patients and 640 community case-patients, the study power was considerably lower for the hospitalization analysis: the smallest detectable OR with 80% power was 1.7.


We found no evidence that receipt of the 2008–09 TIV increased or decreased the risk for laboratory-confirmed influenza A(H1N1)pdm09 virus infections during the first wave of the pandemic in Manitoba. In analyses limited by small numbers, the 2008–09 TIV was associated with a statistically nonsignificant reduction in the risk for hospitalization.

These results are consistent with those in the bulk of the literature. Several studies using different designs (cohort as well as test-negative and conventional case–control studies) from Australia (4,5), England (6), Spain (7,8), and the United States (911) found that the 2008–09 TIV neither increased nor decreased the risk for influenza A(H1N1)pdm09 virus infection during the first wave of the pandemic.

The lack of protective effects against influenza A(H1N1)pdm09 virus is not surprising given the substantial antigenic divergence between the pandemic virus and recently circulating seasonal influenza A (H1N1) viruses among humans (29) and the lack of a cross-reactive antibody response to the pandemic strain in serologic studies of TIVs for humans and animals (1214,30). However, 2 case–control studies from Mexico have indicated a protective effect (35%–74%), especially against severe infections (2,3). Concerns about possible selection bias and uncontrolled confounding were raised about both studies (31,32), although a reanalysis of the second study that attempted to address these concerns confirmed the initial results (33). Lower levels of seroconversion among TIV-vaccinated compared with unvaccinated persons were observed among nurses in a cohort study in Canada (15) and among military personnel in a cohort study in Singapore (16). However, it is unclear whether the results from these subpopulations are applicable to the general population. In the Singapore study, TIV was not protective against seroconversion among community participants. Similar reservations might be applicable to a US case–control study that reported a protective effect for the 2008–09 TIV among active-duty military service members (34).

On the other hand, increased risk for influenza A(H1N1)pdm09 virus infection with receipt of the 2008–09 TIV was reported for US military beneficiaries who sought care for influenza-like illness at Navy clinics in San Diego County, California, USA, during the first wave of the pandemic (35). However, the positive association with confirmed subtype H1N1 infection was seen only in univariate analyses restricted to active-duty members and was not observed for other study groups. In a small pilot study from Hong Kong, 31% of children who were randomly selected to receive TIV in November 2008 had serologically confirmed influenza A(H1N1)pdm09 virus infection, compared with 12% of the children who received a placebo (30). However, there were no significant differences between the 2 groups in rates of influenza-like illness, acute respiratory symptoms, or PCR-confirmed pandemic infections. Four studies from Canada, including the aforementioned Ontario study, have also reported increased risk with TIV use, especially among younger persons (1). The inconsistency between our results and those of the Ontario study could be due to bias or residual confounding in either study.

Major strengths of our study include its population-based design and relatively large sample size. Because of the availability of accurate automated vaccination records (23), this study was less susceptible to recall bias and to misclassification of exposure status, issues that are common in observational studies in which vaccination information is self-reported. Misclassification of disease status was minimized by use of an accurate diagnostic test (RT-PCR) (22). However, it is well-known that viral RNA is occasionally not detectable by RT-PCR (e.g., because of delay in specimen collection), which means that some case-patients in our study might have been misclassified as controls. It is difficult to predict the direction of resulting bias. If the likelihood of false-negative results was not related to receipt of vaccine, our estimates would generally bias toward the null, masking any associations (36). If false-negative results were more likely among the unvaccinated persons (which could be the case if lack of vaccination and the delay in getting tested are caused by lack of timely access to primary care), our OR estimates could have been biased downwards, potentially masking any harmful effects of vaccination. We did not have information about testing delay, but we used proxies for access to health care (e.g., frequency of physician encounters) to adjust for factors that might be associated with promptness of testing. Stratifying the analysis by quintiles of the number of physician visits in the previous year did not result in any significant differences in the estimated ORs.

To further control for confounding by access to and propensity to seek health care, we employed a test-negative case–control design, in which all participants were tested for influenza. We believe that using test-negative controls was the most practical way to sample controls from the population that gave rise to case-patients in our study (37). Had we sampled from the population at large, some of these controls would have been persons who would have never been tested for influenza if they had it (e.g., because of asymptomatic infection or because of lack of timely access to ambulatory care) and would have never appeared in our database as case-patients. The resulting bias could lead to underestimation of vaccine effectiveness if, as expected, receipt of the vaccine is positively associated with better access to ambulatory care and, therefore, to testing.

The controls in our study appeared to be representative of their respective age groups in the Manitoba population, and in general, they had characteristics similar to those for the control group in the Ontario case–control study (1) (Table 6). For instance, in our study the percentage of controls who received the 2008–09 TIV was ≈8% for participants 12–19 years of age, 14.5% for those 20–34 years of age, 19% for those 35–44 years of age, 28% for those 45–64 years of age, and 57% for those >65 years of age (Table 6). The corresponding percentages for the Manitoba population were 14%, 13%, 18%, 28%, and 67%, respectively (38). In the years leading to the pandemic, influenza vaccination policy in Manitoba was consistent with the recommendations of the Canadian National Advisory Committee on Immunization (21).

Information about several confounders was obtained from administrative databases. The completeness and accuracy of the MH database are well established, and these databases have been used extensively in studies of postmarketing surveillance of various drugs and vaccines (39). However, it is possible that there was a measurement error in some variables, which could result in residual confounding. In addition, the protective effects we observed against hospitalization might be related to confounding by factors that were not measured in this study, e.g., functional capacity (healthy vaccinee bias) (40).

Results from our study in Manitoba corroborate findings from studies outside Canada that the 2008–09 TIV neither increased nor decreased the risk for influenza A(H1N1)pdm09 virus infection. Additional epidemiologic and experimental investigations are needed to clarify the relationship between TIV use and infection with the pandemic strain.

Dr Mahmud is an assistant professor in the Department of Community Health Sciences, University of Manitoba, and a medical officer of health at the Winnipeg Regional Health Authority. His primary research interests include evaluation of vaccine effectiveness and safety and cancer chemoprevention.



  1. Skowronski  DM, De Serres  G, Crowcroft  NS, Janjua  NZ, Boulianne  N, Hottes  TS, Association between the 2008–09 seasonal influenza vaccine and pandemic H1N1 illness during spring–summer 2009: four observational studies from Canada. PLoS Med. 2010;7:e1000258. DOIPubMedGoogle Scholar
  2. Garcia-Garcia  L, Valdespino-Gomez  JL, Lazcano-Ponce  E, Jimenez-Corona  A, Higuera-Iglesias  A, Cruz-Hervert  P, Partial protection of seasonal trivalent inactivated vaccine against novel pandemic influenza A/H1N1 2009: case–control study in Mexico City. BMJ. 2009;339:b3928. DOIPubMedGoogle Scholar
  3. Echevarría-Zuno  S, Mejía-Aranguré  JM, Mar-Obeso  AJ, Grajales-Muñiz  C, Robles-Pérez  E, González-León  M, Infection and death from influenza A H1N1 virus in Mexico: a retrospective analysis. Lancet. 2009;374:20729. DOIPubMedGoogle Scholar
  4. Carcione  D, Giele  C, Goggin  LS, Kwan  KS, Smith  DW, Dowse  GK, Association between 2009 seasonal influenza vaccine and influenza-like illness during the 2009 pandemic: preliminary results of a large household transmission study in Western Australia. Euro Surveill. 2010;15:pii:19616.PubMedGoogle Scholar
  5. Kelly  HA, Grant  KA, Fielding  JE, Carville  KS, Looker  CO, Tran  T, Pandemic influenza H1N1 2009 infection in Victoria, Australia: no evidence for harm or benefit following receipt of seasonal influenza vaccine in 2009. Vaccine. 2011;29:641926. DOIPubMedGoogle Scholar
  6. Pebody  R, Andrews  N, Waight  P, Malkani  R, McCartney  C, Ellis  J, No effect of 2008/09 seasonal influenza vaccination on the risk of pandemic H1N1 2009 influenza infection in England. Vaccine. 2011;29:26138. DOIPubMedGoogle Scholar
  7. Puig-Barberà  J, Arnedo-Pena  A, Pardo-Serrano  F, Tirado-Balaguer  MD, Pérez-Vilar  S, Silvestre-Silvestre  E, Effectiveness of seasonal 2008–2009, 2009–2010 and pandemic vaccines, to prevent influenza hospitalizations during the autumn 2009 influenza pandemic wave in Castellón, Spain. A test-negative, hospital-based, case–control study. Vaccine. 2010;28:74607. DOIPubMedGoogle Scholar
  8. Larrauri  A, Savulescu  C, Jiménez-Jorge  S, Pérez-Breña  P, Pozo  F, Casas  I, Influenza pandemic (H1N1) 2009 activity during summer 2009: effectiveness of the 2008–9 trivalent vaccine against pandemic influenza in Spain. Gac Sanit. 2011;25:238. DOIPubMedGoogle Scholar
  9. Iuliano  AD, Reed  C, Guh  A, Desai  M, Dee  D, Kutty  P, Notes from the field: outbreak of 2009 pandemic influenza A (H1N1) virus at a large public university in Delaware, April–May 2009. Clin Infect Dis. 2009;49:181120. DOIPubMedGoogle Scholar
  10. Centers for Disease Control and Prevention. Effectiveness of 2008–09 trivalent influenza vaccine against 2009 pandemic influenza A (H1N1)—United States, May–June 2009. MMWR Morb Mortal Wkly Rep. 2009;58:12415.PubMedGoogle Scholar
  11. Lessler  J, Reich  NG, Cummings  DAT. Outbreak of 2009 pandemic influenza A (H1N1) at a New York City school. N Engl J Med. 2009;361:262836. DOIPubMedGoogle Scholar
  12. Hancock  K, Veguilla  V, Lu  X, Zhong  W, Butler  EN, Sun  H, Cross-reactive antibody responses to the 2009 pandemic H1N1 influenza virus. N Engl J Med. 2009;361:194552. DOIPubMedGoogle Scholar
  13. Lee  VJ, Tay  JK, Chen  MIC, Phoon  M, Xie  M, Wu  Y, Inactivated trivalent seasonal influenza vaccine induces limited cross-reactive neutralizing antibody responses against 2009 pandemic and 1934 PR8 H1N1 strains. Vaccine. 2010;28:68527. DOIPubMedGoogle Scholar
  14. Pascua  PNQ, Song  MS, Lee  JH, Park  KJ, Kwon  H, Baek  YH, Evaluation of the efficacy and cross-protectivity of recent human and swine vaccines against the pandemic (H1N1) 2009 virus infection. PLoS ONE. 2009;4:e8431. DOIPubMedGoogle Scholar
  15. Loeb  M, Earn  DJ, Smieja  M, Webby  R. Pandemic (H1N1) 2009 risk for nurses after trivalent vaccination. Emerg Infect Dis. 2010;16:71920.PubMedGoogle Scholar
  16. Chen  MIC, Lee  VJM, Lim  WY, Barr  IG, Lin  RTP, Koh  GCH, 2009 Influenza A (H1N1) seroconversion rates and risk factors among distinct adult cohorts in Singapore. JAMA. 2010;303:138391. DOIPubMedGoogle Scholar
  17. Kelly  H, Barry  S, Laurie  K, Mercer  G. Seasonal influenza vaccination and the risk of infection with pandemic influenza: a possible illustration of non-specific temporary immunity following infection. Euro Surveill. 2010;15:pii:19722.PubMedGoogle Scholar
  18. Glezen  WP. How did the 2008–2009 seasonal influenza vaccine affect the pandemic? Clin Infect Dis. 2010;51:13802. DOIPubMedGoogle Scholar
  19. Embree  J. Pandemic 2009 (A)H1N1 influenza (swine flu)—the Manitoba experience. Biochem Cell Biol. 2010;88:58993. DOIPubMedGoogle Scholar
  20. Campbell  A, Rodin  R, Kropp  R, Mao  Y, Hong  Z, Vachon  J, Risk of severe outcomes among patients admitted to hospital with pandemic (H1N1) influenza. CMAJ. 2010;182:34955. DOIPubMedGoogle Scholar
  21. National Advisory Committee on Immunization (NACI). Statement on influenza vaccination for the 2008–2009 season. An Advisory Committee Statement (ACS) [in French]. Can Commun Dis Rep. 2008;34(ACS-3):1–46. PMID 18802991
  22. LeBlanc  JJ, Li  Y, Bastien  N, Forward  KR, Davidson  RJ, Hatchette  TF. Switching gears for an influenza pandemic: validation of a duplex reverse transcriptase PCR assay for simultaneous detection and confirmatory identification of pandemic (H1N1) 2009 influenza virus. J Clin Microbiol. 2009;47:380513. DOIPubMedGoogle Scholar
  23. Roberts  JD, Poffenroth  LA, Roos  LL, Bebchuk  JD, Carter  AO. Monitoring childhood immunizations: a Canadian approach. Am J Public Health. 1994;84:16668. DOIPubMedGoogle Scholar
  24. Martens  PJ, Frohlich  N, Carriere  KC, Derksen  S, Brownell  M. Embedding child health within a framework of regional health: population health status and sociodemographic indicators. Can J Public Health. 2002;93(Suppl 2):S1520.PubMedGoogle Scholar
  25. Lix  L, Yogendran  M, Burchill  C, Metge  C, McKeen  N, Moore  D, Defining and validating chronic diseases: an administrative data approach. Winnipeg (Manitoba, Canada): Manitoba Centre for Health Policy; 2006.
  26. Hardy  JR, Holford  TR, Hall  GC, Bracken  MB. Strategies for identifying pregnancies in the automated medical records of the General Practice Research Database. Pharmacoepidemiol Drug Saf. 2004;13:74959. DOIPubMedGoogle Scholar
  27. Zarychanski  R, Stuart  TL, Kumar  A, Doucette  S, Elliott  L, Kettner  J, Correlates of severe disease in patients with 2009 pandemic influenza (H1N1) virus infection. CMAJ. 2010;182:25764. DOIPubMedGoogle Scholar
  28. Dupont  WD. Power calculations for matched case–control studies. Biometrics. 1988;44:115768. DOIPubMedGoogle Scholar
  29. Garten  RJ, Davis  CT, Russell  CA, Shu  B, Lindstrom  S, Balish  A, Antigenic and genetic characteristics of swine-origin 2009 A (H1N1) influenza viruses circulating in humans. Science. 2009;325:197201. DOIPubMedGoogle Scholar
  30. Cowling  BJ, Ng  S, Ma  ESK, Cheng  CKY, Wai  W, Fang  VJ, Protective efficacy of seasonal influenza vaccination against seasonal and pandemic influenza virus infection during 2009 in Hong Kong. Clin Infect Dis. 2010;51:13709. DOIPubMedGoogle Scholar
  31. Janjua  NZ, Skowronski  DM, Hottes  TS, De Serres  G, Crowcroft  NS, Rosella  LC. Seasonal vaccine and H1N1. Selection bias explains seasonal vaccine’s protection. BMJ. 2009;339:b4972. DOIPubMedGoogle Scholar
  32. Janjua  NZ, Skowronski  DM, Hottes  TS, De Serres  G, Crowcroft  NS, Rosella  LC. Seasonal vaccine effectiveness against pandemic A/H1N1 [letter]. Lancet. 2010;375:8012. DOIPubMedGoogle Scholar
  33. Echevarría-Zuno  S, Mejía-Aranguré  JM, Grajales-Muñiz  C, Gonzalez-Bonilla  C, Borja-Aburto  VH. Seasonal vaccine effectiveness against pandemic A/H1N1 [letter]. Lancet. 2010;375:author reply 8023. DOIPubMedGoogle Scholar
  34. Johns  MC, Eick  AA, Blazes  DL, Lee  S, Perdue  CL, Lipnick  R, Seasonal influenza vaccine and protection against pandemic (H1N1) 2009–associated illness among US military personnel. PLoS ONE. 2010;5:e10722. DOIPubMedGoogle Scholar
  35. Crum-Cianflone  NF, Blair  PJ, Faix  D, Arnold  J, Echols  S, Sherman  SS, Clinical and epidemiologic characteristics of an outbreak of novel H1N1 (swine origin) influenza A virus among United States military beneficiaries. Clin Infect Dis. 2009;49:180110. DOIPubMedGoogle Scholar
  36. Savitz  DA. Interpreting epidemiologic evidence: strategies for study design and analysis. Oxford (New York): Oxford University Press; 2003.
  37. Wacholder  S, McLaughlin  JK, Silverman  DT, Mandel  JS. Selection of controls in case–control studies: I. principles. Am J Epidemiol. 1992;135:101928.PubMedGoogle Scholar
  38. Statistics Canada. Table 105-0501. Health indicator profile, annual estimates, by age group and sex, Canada, provinces, territories, health regions (2007 boundaries) and peer groups, occasional, CANSIM (database). 2011 [cited 2011 Apr 17].
  39. Robinson  JR, Young  TK, Roos  LL, Gelskey  DE. Estimating the burden of disease: comparing administrative data and self-reports. Med Care. 1997;35:93247. DOIPubMedGoogle Scholar
  40. Shrank  WH, Patrick  AR, Brookhart  MA. Healthy user and related biases in observational studies of preventive interventions: a primer for physicians. J Gen Intern Med. 2011;26:54650. DOIPubMedGoogle Scholar




Cite This Article

DOI: 10.3201/eid1805.111596

Table of Contents – Volume 18, Number 5—May 2012

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Salaheddin M. Mahmud, Department of Community Health Sciences, University of Manitoba, S111 – 750 Bannatyne Ave, Winnipeg, MB R3E 0W3, Canada

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Page created: April 05, 2012
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