Literature DB >> 7997720

Estimates of disease incidence in women based on antenatal or neonatal seroprevalence data: HIV in New York City.

A E Ades1, G F Medley.   

Abstract

Piecewise constant incidence models were developed to estimate the force of infection in women from age- and time-specific antenatal or neonatal seroprevalence data. Differential inclusion of infected women in sero-surveys compared to uninfected women was taken into account, with respect to both changes in inclusion rate following infection, and changes in relative inclusion rate over calendar time. These models were applied to anonymous HIV seroprevalence data collected from neonates born to black and Hispanic women in New York City 1988-1992, with incidence and fertility parameters estimated by maximum likelihood. Estimates of inclusion rate parameters accorded well with what is known about the natural history of HIV. The data could not distinguish between additive and multiplicative combination of the effects of age and time on incidence. Incidence was strongly dependent on age with the highest incidence in women aged 20-34 years. There was strong evidence that incidence had been falling in Hispanic women since 1982-1984. The results illustrate the extent to which trends in incidence over time may be confounded by changes in the relative inclusion rate of infected and uninfected women.

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Year:  1994        PMID: 7997720     DOI: 10.1002/sim.4780131809

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  7 in total

1.  Estimating HIV Incidence in Populations Using Tests for Recent Infection: Issues, Challenges and the Way Forward.

Authors:  Timothy D Mastro; Andrea A Kim; Timothy Hallett; Thomas Rehle; Alex Welte; Oliver Laeyendecker; Tom Oluoch; Jesus M Garcia-Calleja
Journal:  J HIV AIDS Surveill Epidemiol       Date:  2010-01-01

2.  Estimating the distribution of the window period for recent HIV infections: a comparison of statistical methods.

Authors:  Michael J Sweeting; Daniela De Angelis; John Parry; Barbara Suligoi
Journal:  Stat Med       Date:  2010-12-30       Impact factor: 2.373

3.  Bayesian evidence synthesis for a transmission dynamic model for HIV among men who have sex with men.

Authors:  A M Presanis; D De Angelis; A Goubar; O N Gill; A E Ades
Journal:  Biostatistics       Date:  2011-04-27       Impact factor: 5.899

4.  Modelling the force of infection for hepatitis B and hepatitis C in injecting drug users in England and Wales.

Authors:  A J Sutton; N J Gay; W J Edmunds; V D Hope; O N Gill; M Hickman
Journal:  BMC Infect Dis       Date:  2006-06-08       Impact factor: 3.090

Review 5.  Estimating the HIV incidence rate: recent and future developments.

Authors:  Timothy B Hallett
Journal:  Curr Opin HIV AIDS       Date:  2011-03       Impact factor: 4.283

6.  A general HIV incidence inference scheme based on likelihood of individual level data and a population renewal equation.

Authors:  Guy Severin Mahiane; Rachid Ouifki; Hilmarie Brand; Wim Delva; Alex Welte
Journal:  PLoS One       Date:  2012-09-12       Impact factor: 3.240

7.  Estimating incidence from prevalence in generalised HIV epidemics: methods and validation.

Authors:  Timothy B Hallett; Basia Zaba; Jim Todd; Ben Lopman; Wambura Mwita; Sam Biraro; Simon Gregson; J Ties Boerma
Journal:  PLoS Med       Date:  2008-04-08       Impact factor: 11.069

  7 in total

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