Literature DB >> 17098258

Mathematical model comparisons of potential non-typeable Haemophilus influenzae vaccine effects.

Ximin Lin1, James S Koopman, Stephen E Chick.   

Abstract

Vaccines to prevent acute otitis media (AOM) caused by non-typeable Haemophilus influenzae (NTHi) are under development. Because NTHi is highly variable and colonization rates are high, special vaccine characteristics and trial designs might be needed. We examined in mathematical models the equilibrium NTHi-caused AOM rate given hypothetical vaccines that generated immunity identical to corresponding maximal naturally acquired immunity. Vaccines were examined with single effects and combinations of immunity affecting (1) AOM rates given colonization (pathogenicity), (2) susceptibility to colonization, and (3) contagiousness given colonization. Percent reductions in AOM across all preschool children were (1) 34%, (2) 31%, (3) 9%, (1 and 2) 57%, (2 and 3) 50%, and (1, 2, and 3) 75%. Effects on children in daycare vs. not in daycare were (1) 18 vs. 48%, (2) -1 vs. 57%, (3) 13 vs. 5%, (1 and 2) 30 vs. 79%, (2 and 3) 33 vs. 60%, and (1, 2, and 3) 64 vs. 85%. Pure pathogenicity effects (1 alone) will need to be supplemented by transmission effects. The effects of susceptibility (2 alone) are diminished or negative because children protected against colonization have lower levels of immunity to (1) and (3) than unvaccinated children. For trials to predict population effects, both colonization and AOM outcomes must be studied and all three effects must be evaluated. This need arises because, unlike H. influenzae type B, high NTHi exposure diminishes cumulative vaccine effects and high colonization rates generate rapid accumulation of natural immunity that alters the indirect effects of vaccine immunity on transmission differently by age and daycare status.

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Year:  2006        PMID: 17098258      PMCID: PMC1852514          DOI: 10.1016/j.jtbi.2006.09.034

Source DB:  PubMed          Journal:  J Theor Biol        ISSN: 0022-5193            Impact factor:   2.691


  30 in total

1.  Model-based estimation of vaccine effects from community vaccine trials.

Authors:  Ira M Longini; M Elizabeth Halloran; Azhar Nizam
Journal:  Stat Med       Date:  2002-02-28       Impact factor: 2.373

2.  Bias reduction for risk ratio and vaccine effect estimators.

Authors:  S E Chick; D C Barth-Jones; J S Koopman
Journal:  Stat Med       Date:  2001-06-15       Impact factor: 2.373

Review 3.  Haemophilus influenzae: genetic variability and natural selection to identify virulence factors.

Authors:  Janet R Gilsdorf; Carl F Marrs; Betsy Foxman
Journal:  Infect Immun       Date:  2004-05       Impact factor: 3.441

Review 4.  Developing a nontypeable Haemophilus influenzae (NTHi) vaccine.

Authors:  J T Poolman; L Bakaletz; A Cripps; P A Denoel; A Forsgren; J Kyd; Y Lobet
Journal:  Vaccine       Date:  2000-12-08       Impact factor: 3.641

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Journal:  Pediatr Infect Dis J       Date:  1999-06       Impact factor: 2.129

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Journal:  Int J Epidemiol       Date:  1984-03       Impact factor: 7.196

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Authors:  R K Gunnarsson; S E Holm; M Söderström
Journal:  Fam Pract       Date:  2000-04       Impact factor: 2.267

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Authors:  D W Fleming; S L Cochi; A W Hightower; C V Broome
Journal:  Pediatrics       Date:  1987-01       Impact factor: 7.124

9.  Epidemiology of acute otitis media in children.

Authors:  K Lundgren; L Ingvarsson
Journal:  Scand J Infect Dis Suppl       Date:  1983

10.  Epidemiology of colonization by nontypable Haemophilus influenzae in children: a longitudinal study.

Authors:  S M Spinola; J Peacock; F W Denny; D L Smith; J G Cannon
Journal:  J Infect Dis       Date:  1986-07       Impact factor: 5.226

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