Literature DB >> 11993747

Using simulation for AIDS policy modeling: benefits for HIV/AIDS prevention policy makers in Vienna, Austria.

Marion S Rauner1.   

Abstract

In spite of advanced therapies and the success of additional prevention programs, the HIV/AIDS epidemic still remains a challenge. Our paper refers academics, health care managers, and policy makers to the relevance of AIDS policy simulators in better decision-making. By highlighting the types of decisions AIDS policy models can support, we demonstrate the strategic role of AIDS policy simulators for the efficient and effective planning of scarce resources to fight the epidemic. For each type of decision, we then review exemplary AIDS policy simulators that have helped policy makers make better decisions. Finally, we present the benefits of an AIDS policy simulator for HIV/AIDS prevention policy makers in Vienna, Austria.

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Year:  2002        PMID: 11993747     DOI: 10.1023/a:1014433117269

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


  43 in total

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Journal:  Public Health       Date:  1999-11       Impact factor: 2.427

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Journal:  AIDS       Date:  2000-01-28       Impact factor: 4.177

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Journal:  Med Decis Making       Date:  1998 Apr-Jun       Impact factor: 2.583

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Journal:  Int J Epidemiol       Date:  1995-02       Impact factor: 7.196

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Journal:  AIDS       Date:  1994-04       Impact factor: 4.177

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Journal:  Math Biosci       Date:  1999-06       Impact factor: 2.144

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Journal:  Arch Intern Med       Date:  1992-11
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  2 in total

1.  Simulating staffing needs for surgical instrument distribution in hospitals.

Authors:  Arun Kumar; Sung J Shim
Journal:  J Med Syst       Date:  2006-10       Impact factor: 4.460

2.  Can modeling of HIV treatment processes improve outcomes? Capitalizing on an operations research approach to the global pandemic.

Authors:  Wei Xiong; Nathaniel Hupert; Eric B Hollingsworth; Megan E O'Brien; Jessica Fast; William R Rodriguez
Journal:  BMC Health Serv Res       Date:  2008-08-04       Impact factor: 2.655

  2 in total

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