Literature DB >> 12915495

Estimating efficacy of trivalent, cold-adapted, influenza virus vaccine (CAIV-T) against influenza A (H1N1) and B using surveillance cultures.

M Elizabeth Halloran1, Ira M Longini, Manjusha J Gaglani, Pedro A Piedra, Haitao Chu, Gayla B Herschler, W Paul Glezen.   

Abstract

The authors report on a community-based, nonrandomized, open-label study, conducted during the 2000-2001 influenza season in Temple-Belton, Texas, of the protective effectiveness of trivalent, cold-adapted, influenza virus vaccine (CAIV-T) in children aged 18 months-18 years. The dominant circulating strains in 2000-2001 were influenza A/New Caledonia/20/99 (H1N1) and influenza B/Sichuan/379/99. Children had access to CAIV-T during the 1998-1999, 1999-2000, and 2000-2001 influenza seasons. The vaccine included influenza A/Sydney/5/97 (H3N2) and B/Beijing/184/93-like (B/Ann Arbor/l/94) strains in all three seasons. The vaccine included A/Beijing/262/95 (H1N1) in 1998-1999 and 1999-2000, which was replaced by A/New Caledonia/20/99 (H1N1) in 2000-2001. When medically attended acute respiratory illness (MAARI) was used as the outcome, the protective effectiveness for children vaccinated in 2000 was 18% (95% confidence interval (CI): 11, 25). Based on a combination of a validation sample of surveillance cultures and the MAARI outcome, protective efficacy against combined influenza A (H1N1) and B was 79% (95% CI: 51, 91). The efficacy estimate, after accounting for missing influenza culture status, against influenza A (H1N1) alone was 92% (95% CI: 42, 99) and against a new variant of influenza B alone was 66% (95% CI: 9, 87). CAIV-T provides substantial protection against a mixture of influenza A (H1N1) and B. Results demonstrate the powerful potential of using validation sets for outcomes in vaccine field studies.

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Year:  2003        PMID: 12915495     DOI: 10.1093/aje/kwg163

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  29 in total

1.  Design and Evaluation of Prophylactic Interventions Using Infectious Disease Incidence Data from Close Contact Groups.

Authors:  Yang Yang; Ira M Longini; M Elizabeth Halloran
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2.  Establishing the baseline burden of influenza in preparation for the evaluation of a countywide school-based influenza vaccination campaign.

Authors:  Carlos G Grijalva; Yuwei Zhu; Lone Simonsen; Marie R Griffin
Journal:  Vaccine       Date:  2010-11-02       Impact factor: 3.641

3.  Impact of Statins on Influenza Vaccine Effectiveness Against Medically Attended Acute Respiratory Illness.

Authors:  Saad B Omer; Varun K Phadke; Robert A Bednarczyk; Allison T Chamberlain; Jennifer L Brosseau; Walter A Orenstein
Journal:  J Infect Dis       Date:  2015-10-28       Impact factor: 5.226

4.  Repeated influenza vaccination of healthy children and adults: borrow now, pay later?

Authors:  F Carrat; A Lavenu; S Cauchemez; S Deleger
Journal:  Epidemiol Infect       Date:  2006-02       Impact factor: 2.451

5.  On estimation of vaccine efficacy using validation samples with selection bias.

Authors:  Daniel O Scharfstein; M Elizabeth Halloran; Haitao Chu; Michael J Daniels
Journal:  Biostatistics       Date:  2006-03-23       Impact factor: 5.899

6.  Association of Prior Vaccination With Influenza Vaccine Effectiveness in Children Receiving Live Attenuated or Inactivated Vaccine.

Authors:  Huong Q McLean; Herve Caspard; Marie R Griffin; Manjusha Gaglani; Timothy R Peters; Katherine A Poehling; Christopher S Ambrose; Edward A Belongia
Journal:  JAMA Netw Open       Date:  2018-10-05

7.  Identifying pediatric age groups for influenza vaccination using a real-time regional surveillance system.

Authors:  John S Brownstein; Ken P Kleinman; Kenneth D Mandl
Journal:  Am J Epidemiol       Date:  2005-08-17       Impact factor: 4.897

Review 8.  Role of influenza vaccine for healthy children in the US.

Authors:  Stan L Block
Journal:  Paediatr Drugs       Date:  2004       Impact factor: 3.022

9.  On influenza and school closings: time for prospective studies.

Authors:  M Elizabeth Halloran
Journal:  Epidemiology       Date:  2009-11       Impact factor: 4.822

Review 10.  Estimating influenza vaccine efficacy from challenge and community-based study data.

Authors:  Nicole E Basta; M Elizabeth Halloran; Laura Matrajt; Ira M Longini
Journal:  Am J Epidemiol       Date:  2008-10-29       Impact factor: 4.897

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