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Record W2568653165 · doi:10.1016/s2468-2667(17)30004-x

Have you herd? Indirect flu vaccine effects are critically important

2017· letter· en· W2568653165 on OpenAlexaff
David N. Fisman, Isaac I. Bogoch

Bibliographic record

VenueThe Lancet Public Health · 2017
Typeletter
Languageen
FieldMedicine
TopicInfluenza Virus Research Studies
Canadian institutionsToronto General HospitalUniversity Health NetworkPublic Health OntarioUniversity of Toronto
FundersMedical Research Council
KeywordsVaccinationMedicineScopusHerd immunityInfluenza vaccineEpidemiologyDiseaseSeasonal influenzaImmunologyIntensive care medicineMEDLINEInternal medicineInfectious disease (medical specialty)Coronavirus disease 2019 (COVID-19)Biology

Abstract

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Seasonal epidemics of influenza virus infection occur frequently. These viruses infect the respiratory tract and typically cause fever, cough, and muscle and joint pain. In some individuals, particularly infants and elderly people, influenza infection can lead to severe illness or death.1Simonsen L Fukuda K Schonberger LB Cox NJ The impact of influenza epidemics on hospitalizations.J Infect Dis. 2000; 181: 831-837Crossref PubMed Scopus (424) Google Scholar Seasonal influenza also places a strain on economic productivity due to employee absenteeism and exhaustion of health-care resources due to increased hospital admissions.2Molinari NA Ortega-Sanchez IR Messonnier ML et al.The annual impact of seasonal influenza in the US: measuring disease burden and costs.Vaccine. 2007; 25: 5086-5096Crossref PubMed Scopus (1284) Google Scholar Seasonal immunisation programmes are an important component of influenza prevention strategies, but several factors combine to make seasonal vaccination programmes less impactful than might be expected. First, viral mutation (also known as drift) is an ongoing process, resulting in vaccine mismatch with circulating strains in some years and therefore decreased vaccine efficacy. Furthermore, influenza epidemiology is unfortunately characterised by dissociation between populations most likely to have severe disease (infants and elderly people), and populations most likely to benefit from vaccination (older children and adolescents—ie, those aged 2–16 years).3Galvani AP Reluga TC Chapman GB Long-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum.Proc Natl Acad Sci USA. 2007; 104: 5692-5697Crossref PubMed Scopus (203) Google Scholar Older children and adolescents seem to be important for the early propagation of influenza in populations, and the efficacy of influenza vaccines is greater in these populations than in elderly people, but they are generally not prioritised for immunisation because of their lower risk of morbidity and mortality from this infection.3Galvani AP Reluga TC Chapman GB Long-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum.Proc Natl Acad Sci USA. 2007; 104: 5692-5697Crossref PubMed Scopus (203) Google Scholar This paradoxical state of affairs has led some researchers to suggest that the best way to minimise the burden of seasonal influenza would be to focus immunisation programmes on children, adolescents, and young adults, with benefit accrued by elderly people and infants as a result of herd immunity.3Galvani AP Reluga TC Chapman GB Long-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum.Proc Natl Acad Sci USA. 2007; 104: 5692-5697Crossref PubMed Scopus (203) Google Scholar Herd immunity is the additional protection provided to both unvaccinated and vaccinated individuals in a population, and results from the inability of successfully vaccinated individuals to propagate disease. Such an approach would be supported by both observational data,4Reichert TA Sugaya N Fedson DS Glezen WP Simonsen L Tashiro M The Japanese experience with vaccinating schoolchildren against influenza.N Engl J Med. 2001; 344: 889-896Crossref PubMed Scopus (725) Google Scholar and more recent randomised trials5Loeb M Russell ML Moss L et al.Effect of influenza vaccination of children on infection rates in Hutterite communities: a randomized trial.JAMA. 2010; 303: 943-950Crossref PubMed Scopus (290) Google Scholar, 6Loeb M Russell ML Manning V et al.Live attenuated versus inactivated influenza vaccine in Hutterite children: a cluster randomized blinded trial.Ann Intern Med. 2016; 165: 617-624Crossref PubMed Scopus (28) Google Scholar suggesting that protection of all age groups results when children and adolescents are immunised against influenza. Such an approach might raise ethical questions: individuals who bear the discomfort and risk of immunisation provide the benefit of herd immunity to others at the extremes of age, who are less likely to benefit from direct immunisation. Although such an approach would be consistent with a utilitarian optimum, and with a communitarian approach to health and medicine, it might be a difficult sell in a health context that embraces an individualistic focus on health-care decision making.3Galvani AP Reluga TC Chapman GB Long-standing influenza vaccination policy is in accord with individual self-interest but not with the utilitarian optimum.Proc Natl Acad Sci USA. 2007; 104: 5692-5697Crossref PubMed Scopus (203) Google Scholar In The Lancet Public Health, David Hodgson and colleagues7Hodgson D Baguelin M van Leeuwen E et al.Effect of mass paediatric influenza vaccination on existing influenza vaccination programmes in England and Wales: a modelling and cost-effectiveness analysis.Lancet Public Health. 2017; (published online Jan 10.)http://dx.doi.org/10.1016/S2468-2667(16)30044-5Google Scholar provide a model-based cost-effectiveness analysis of emerging live-attenuated influenza virus (LAIV)-based seasonal influenza programmes targeting people aged 2–16 years. Although the efficacy of LAIV had been the subject of controversy, the most recent randomised trial6Loeb M Russell ML Manning V et al.Live attenuated versus inactivated influenza vaccine in Hutterite children: a cluster randomized blinded trial.Ann Intern Med. 2016; 165: 617-624Crossref PubMed Scopus (28) Google Scholar showed efficacy equivalent to that seen with a more traditional trivalent subunit vaccine, providing the same herd effects. Intranasal administration of LAIV has the benefit of making parenteral injection unnecessary, a benefit that can be readily appreciated by parents of young children. Importantly, and in accordance with best practices,8Pitman R Fisman D Zaric GS et al.ISPOR-SMDM Modeling Good Research Practices Task ForceDynamic transmission modeling: a report of the ISPOR-SMDM Modeling Good Research Practices Task Force–5.Value Health. 2012; 15: 828-834Summary Full Text Full Text PDF PubMed Scopus (127) Google Scholar Hodgson and colleagues use a well calibrated dynamic mathematical model that allows them to evaluate the cost-effectiveness of vaccinating one group in the population (aged 2–16 years) on disease risk in another (elderly people).7Hodgson D Baguelin M van Leeuwen E et al.Effect of mass paediatric influenza vaccination on existing influenza vaccination programmes in England and Wales: a modelling and cost-effectiveness analysis.Lancet Public Health. 2017; (published online Jan 10.)http://dx.doi.org/10.1016/S2468-2667(16)30044-5Google Scholar They project that LAIV programmes focused on young individuals are in themselves highly cost-effective health interventions. However, their analysis highlights the importance of herd effects for decision makers: a rapidly implemented LAIV programme focused on children aged 2–16 years is actually more effective at preventing disease in elderly people than a more slowly implemented programme that includes both LAIV and direct immunisation of elderly people themselves. This finding is because a rapid, early focus on young individuals, in whom the vaccine is more effective, stops the influenza epidemic in its tracks. Furthermore, when young individuals are vaccinated, seasonal vaccination programmes targeted at low-risk elderly individuals might cease to be cost-effective (depending on the notoriously murky definition of cost-effectiveness threshold) because herd effects already effectively reduce risk for these individuals. The Article by Hodgson and colleagues,7Hodgson D Baguelin M van Leeuwen E et al.Effect of mass paediatric influenza vaccination on existing influenza vaccination programmes in England and Wales: a modelling and cost-effectiveness analysis.Lancet Public Health. 2017; (published online Jan 10.)http://dx.doi.org/10.1016/S2468-2667(16)30044-5Google Scholar although focusing on influenza, has implications for other emerging vaccines. For example, conjugate pneumococcal vaccines administered to children have important effects on mortality in older individuals.9Lexau CA Lynfield R Danila R et al.Active Bacterial Core Surveillance TeamChanging epidemiology of invasive pneumococcal disease among older adults in the era of pediatric pneumococcal conjugate vaccine.JAMA. 2005; 294: 2043-2051Crossref PubMed Scopus (597) Google Scholar The existence of these herd effects could erode the cost-effectiveness of direct immunisation of older individuals. If health-care providers are to use the increasingly wide array of vaccines optimally, they need to acknowledge that epidemics are implicitly processes that involve populations rather than individuals. A degree of fluency with disease dynamics and health economics as applied to communicable diseases is increasingly a key component of the public health practitioner's skill set. DNF has received grants from Sequirus Vaccines, GlaxoSmithKline Vaccines, Sanofi Pasteur Vaccines, and Pfizer Vaccines, outside the submitted work. IIB declares no competing interests. Effect of mass paediatric influenza vaccination on existing influenza vaccination programmes in England and Wales: a modelling and cost-effectiveness analysisWith the likely move to decreased cost-effectiveness thresholds, reassessment of existing risk group-based vaccine programme cost-effectiveness in the presence of the paediatric vaccination programme is needed. Full-Text PDF Open Access

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.005
metaresearch head score (Gemma)0.011
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.031
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.006
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.179
GPT teacher head0.430
Teacher spread0.251 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2017
Admission routes1
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