Literature DB >> 21299914

The impact of mobility on HIV control: a modelling study.

D C J Vissers1, S J DE Vlas, R Bakker, M Urassa, H A C M Voeten, J D F Habbema.   

Abstract

Mobility is associated with HIV due to more risky sexual behaviour of mobile groups such as travellers and migrants. Limited participation of such groups may reduce the effectiveness of HIV interventions disproportionally. The established STDSIM model, which simulates transmission and control of HIV and STD, was extended to simulate mobility patterns based on data from Tanzania. We explored the impact of non-participation of mobile groups (travellers and recent migrants) on the effectiveness of two interventions: condom promotion and health education aiming at partner reduction. If mobile groups do not participate, the effectiveness of both interventions could be reduced by 40%. The impact of targeting travellers with a combined HIV campaign is close to that of a general population intervention. In conclusion, it is important to account for possible non-participation of migrants and travellers. If non-participation is substantial, impact of interventions can be greatly improved by actively approaching these people.

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Year:  2011        PMID: 21299914     DOI: 10.1017/S0950268811000069

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  6 in total

1.  The potential impact of RV144-like vaccines in rural South Africa: a study using the STDSIM microsimulation model.

Authors:  Jan A C Hontelez; Nico Nagelkerke; Till Bärnighausen; Roel Bakker; Frank Tanser; Marie-Louise Newell; Mark N Lurie; Rob Baltussen; Sake J de Vlas
Journal:  Vaccine       Date:  2011-06-22       Impact factor: 3.641

Review 2.  Labor migration and HIV risk: a systematic review of the literature.

Authors:  Stevan M Weine; Adrianna B Kashuba
Journal:  AIDS Behav       Date:  2012-08

3.  Epidemiology of HIV among US Air Force Military Personnel, 1996-2011.

Authors:  Shilpa Hakre; Dariusz G Mydlarz; Peter Dawson; Patrick J Danaher; Philip L Gould; Catherine T Witkop; Nelson L Michael; Sheila A Peel; Paul T Scott; Jason F Okulicz
Journal:  PLoS One       Date:  2015-05-11       Impact factor: 3.240

4.  Averting HIV infections in New York City: a modeling approach estimating the future impact of additional behavioral and biomedical HIV prevention strategies.

Authors:  Jason Kessler; Julie E Myers; Kimberly A Nucifora; Nana Mensah; Alexis Kowalski; Monica Sweeney; Christopher Toohey; Amin Khademi; Colin Shepard; Blayne Cutler; R Scott Braithwaite
Journal:  PLoS One       Date:  2013-09-13       Impact factor: 3.240

Review 5.  Individual-based simulation models of HIV transmission: reporting quality and recommendations.

Authors:  Nadia N Abuelezam; Kathryn Rough; George R Seage
Journal:  PLoS One       Date:  2013-09-30       Impact factor: 3.240

6.  Space-time migration patterns and risk of HIV acquisition in rural South Africa.

Authors:  Adrian Dobra; Till Bärnighausen; Alain Vandormael; Frank Tanser
Journal:  AIDS       Date:  2017-01-02       Impact factor: 4.177

  6 in total

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