Literature DB >> 7802982

Preparation for phase III HIV vaccine efficacy trials: methods for the determination of HIV incidence.

W L Heyward1, S Osmanov, J Saba, J Esparza, E Belsey, R Stoneburner, J Kaldor, P G Smith.   

Abstract

OBJECTIVE: Accurate estimates of HIV incidence that reflect the effect of non-vaccine interventions (education, counselling, condom promotion, and possibly sexually transmitted disease treatment) and that may be provided in a Phase III vaccine efficacy trial, are needed so that vaccine trial population sample sizes can be accurately determined. In order to avoid delays in the implementation of efficacy trials, well characterized cohorts must also be developed and available to participate in such trials. We reviewed the potential study populations, the epidemiologic methods for the determination of HIV incidence (using open cohort, closed cohort, and seroprevalence data methods), and the need for the development of population cohorts in preparation for Phase III HIV vaccine efficacy trials.
SETTING: Phase III trials in developed and developing countries.
METHODS: Comparison of open and closed cohorts and those using seroprevalence data to estimate HIV incidence.
RESULTS: Open and closed cohorts each have disadvantages and advantages. However, the open cohort may be more suitable for determining estimates of HIV incidence that reflect non-vaccine interventions and for the development of a well characterized cohort available to participate in efficacy trials.
CONCLUSION: Careful preparation of research infrastructures and population cohorts will help ensure the successful conduct of scientifically and ethically sound HIV vaccine efficacy trials in the future.

Keywords:  Cohort Analysis; Diseases; Estimation Technics; Hiv Infections; Incidence; Measurement; Research Methodology; Vaccines; Viral Diseases

Mesh:

Substances:

Year:  1994        PMID: 7802982     DOI: 10.1097/00002030-199409000-00011

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  7 in total

1.  Incidence and predictive factors of Internet addiction among Chinese secondary school students in Hong Kong: a longitudinal study.

Authors:  Joseph T F Lau; Danielle L Gross; Anise M S Wu; Kit-Man Cheng; Mason M C Lau
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2017-04-17       Impact factor: 4.328

2.  Decreasing HIV-1 seroprevalence in young adults in a rural Ugandan cohort.

Authors:  D Mulder; A Nunn; A Kamali; J Kengeya-Kayondo
Journal:  BMJ       Date:  1995-09-30

3.  Incidence of HIV infection in homosexual men in London, 1988-94.

Authors:  E Miller; P A Waight; R S Tedder; S Sutherland; P P Mortimer; M S Shafi
Journal:  BMJ       Date:  1995-08-26

Review 4.  The estimated prevalence and incidence of HIV in 96 large US metropolitan areas.

Authors:  S D Holmberg
Journal:  Am J Public Health       Date:  1996-05       Impact factor: 9.308

Review 5.  HIV preventive vaccines. Progress to date.

Authors:  J Esparza; S Osmanov; W L Heyward
Journal:  Drugs       Date:  1995-11       Impact factor: 9.546

6.  Preliminary Report on HIV-1 Vaccine Preparedness in Nigeria: Advantages of Recruiting University Students.

Authors:  Abigail Edubio; Simon Agwale; Marc Bulterys; Dadik Jelpe; John Idoko; Chris Isichei; Ruth Guyit; Alash'le Abimiku
Journal:  Viruses       Date:  2010-01-11       Impact factor: 5.818

7.  Incidence of unintended pregnancy among female sex workers in low-income and middle-income countries: a systematic review and meta-analysis.

Authors:  Frances H Ampt; Lisa Willenberg; Paul A Agius; Matthew Chersich; Stanley Luchters; Megan S C Lim
Journal:  BMJ Open       Date:  2018-09-17       Impact factor: 2.692

  7 in total

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