Literature DB >> 23754248

The importance of extended high viremics in models of HIV spread in South Africa.

Benjamin Armbruster1, Ekkehard C Beck, Mustafa Waheed.   

Abstract

Recent studies found a substantial fraction of 'extended high viremics' among HIV-1 subtype C, the most common subtype in southern Africa. Extended high viremics are HIV infected individuals who maintain a high viral load for a longer time period than usual after the initial infection. They are more infectious during this period, and their infection progresses to full-blown AIDS and death much faster than usual. This study investigates the impact of extended high viremics on the spread of the HIV epidemic in South Africa. We develop a simple deterministic compartmental model for HIV infection that includes extended high viremics. As the available data on extended high viremics are limited, we parameterize this model using only the fraction of extended high viremics among new infections and the reduced life-span of extended high viremics. We find that without extended high viremics, the HIV prevalence in South Africa would have remained close to its 1990 level, instead of increasing to the current epidemic levels. We also find that the greater the fraction of extended high viremics among susceptibles, the greater the steady-state HIV prevalence and the more sensitive the steady-state prevalence is to the HIV transmission probability. These results suggest that extended high viremics have an impact on the HIV epidemic in South Africa; justify the need for comprehensive epidemiological studies since the current data is limited; and suggest that future models of HIV for southern Africa should explicitly model extended high viremics.

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Year:  2013        PMID: 23754248     DOI: 10.1007/s10729-013-9245-z

Source DB:  PubMed          Journal:  Health Care Manag Sci        ISSN: 1386-9620


  38 in total

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Authors:  G Skowron; J C Street; E M Obee
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2.  Epidemics: models and data.

Authors:  D Mollison; V Isham; B Grenfell
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3.  High clade C HIV-1 viremia: how did we get here and where are we going?

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Journal:  AIDS       Date:  2011-07-31       Impact factor: 4.177

4.  How bad can it get? Bounding worst case endemic heterogeneous mixing models of HIV/AIDS.

Authors:  E H Kaplan; Y S Lee
Journal:  Math Biosci       Date:  1990-05       Impact factor: 2.144

5.  Rates of HIV-1 transmission per coital act, by stage of HIV-1 infection, in Rakai, Uganda.

Authors:  Maria J Wawer; Ronald H Gray; Nelson K Sewankambo; David Serwadda; Xianbin Li; Oliver Laeyendecker; Noah Kiwanuka; Godfrey Kigozi; Mohammed Kiddugavu; Thomas Lutalo; Fred Nalugoda; Fred Wabwire-Mangen; Mary P Meehan; Thomas C Quinn
Journal:  J Infect Dis       Date:  2005-03-30       Impact factor: 5.226

6.  Asymptotic worst-case mixing in simple demographic models of HIV/AIDS.

Authors:  E H Kaplan
Journal:  Math Biosci       Date:  1992-02       Impact factor: 2.144

7.  The cost-effectiveness of preexposure prophylaxis for HIV prevention in the United States in men who have sex with men.

Authors:  Jessie L Juusola; Margaret L Brandeau; Douglas K Owens; Eran Bendavid
Journal:  Ann Intern Med       Date:  2012-04-17       Impact factor: 25.391

8.  Survival from HIV-1 seroconversion in Southern Africa: a retrospective cohort study in nearly 2000 gold-miners over 10 years of follow-up.

Authors:  Judith R Glynn; Pam Sonnenberg; Gill Nelson; Andre Bester; Stuart Shearer; Jill Murray
Journal:  AIDS       Date:  2007-03-12       Impact factor: 4.177

Review 9.  Using HIV viral load to guide treatment-for-prevention interventions.

Authors:  Vladimir Novitsky; Max Essex
Journal:  Curr Opin HIV AIDS       Date:  2012-03       Impact factor: 4.283

10.  HIV treatment as prevention: debate and commentary--will early infection compromise treatment-as-prevention strategies?

Authors:  Myron S Cohen; Christopher Dye; Christophe Fraser; William C Miller; Kimberly A Powers; Brian G Williams
Journal:  PLoS Med       Date:  2012-07-10       Impact factor: 11.069

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  1 in total

1.  Southern Africa: the Highest Priority Region for HIV Prevention and Care Interventions.

Authors:  Sten H Vermund; Emily K Sheldon; Mohsin Sidat
Journal:  Curr HIV/AIDS Rep       Date:  2015-06       Impact factor: 5.071

  1 in total

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