Literature DB >> 7481189

A back-calculation method to estimate the age and period HIV infection intensity, considering the susceptible population.

A Verdecchia1, A B Mariotto.   

Abstract

An extension of the back-calculation method to reconstruct the past history of HIV infections is presented. In this method the HIV infection intensity, as a function of age and calendar time, is assumed to belong to a family of parametric functions and is back-calculated from the observed AIDS incidence cases, knowledge of the incubation period and of the susceptible population, the final model being chosen as the one that gives the best fit. The model allows for the interaction between age and calendar time. The application to the main risk groups in Italy, male IVDUs and homosexuals, showed that age and the susceptible population were important in estimating the epidemic among IVDUs; interaction between age and calendar time was found to be significant, showing that among young IVDUs the risk of infection decreased faster than among older IVDUs. Sensitivity of the estimates to the assumption of population and choice of the infection function is investigated.

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Year:  1995        PMID: 7481189     DOI: 10.1002/sim.4780141403

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


  3 in total

1.  Back-calculation and projection of the HIV/AIDS epidemic among homosexual/ bisexual men in three European countries: evalution of past projections and updates allowing for treatment effects.

Authors:  Marc Artzrouni
Journal:  Eur J Epidemiol       Date:  2004       Impact factor: 8.082

2.  The impact of the 1993 European revision of the AIDS case definition on back-calculation estimates: an application in Italy.

Authors:  A Verdecchia; P Grossi; M Cantoni
Journal:  Eur J Epidemiol       Date:  1998-07       Impact factor: 8.082

3.  Extending Bayesian back-calculation to estimate age and time specific HIV incidence.

Authors:  Francesco Brizzi; Paul J Birrell; Martyn T Plummer; Peter Kirwan; Alison E Brown; Valerie C Delpech; O Noel Gill; Daniela De Angelis
Journal:  Lifetime Data Anal       Date:  2019-02-27       Impact factor: 1.588

  3 in total

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