Literature DB >> 16854499

Impact of joined-up HIV harm reduction and multidrug resistant tuberculosis control programmes in Estonia: System dynamics simulation model.

Rifat A Atun1, Reda M Lebcir, Martin McKee, Jarno Habicht, Richard J Coker.   

Abstract

In Eastern Europe and Central Asia (ECA) the control of tuberculosis, multidrug resistant tuberculosis (MDRTB) and human immunodeficiency virus (HIV) poses important public health challenges. We used system dynamics simulation to determine impact on cumulative HIV/AIDS, tuberculosis and HIV-associated-tuberculosis deaths, over 20 years, of harm-reduction programmes to reduce needle-sharing and injection-frequency amongst injecting drug users (IDUs) and multidrug resistant tuberculosis (MDRTB) control in a population with an explosive HIV epidemic in IDUs and high MDRTB prevalence. We estimate that the number of HIV-associated-deaths will decline by 30% with effective harm-reduction programmes but double if these are ineffective. In our model, effective MDRTB and HIV control reduces cumulative tuberculosis deaths by 54%, cumulative MDRTB deaths 15-fold and cumulative HIV-associated-tuberculosis-deaths 2-fold. Effective MDRTB control, without effective harm-reduction programmes, only reduce tuberculosis deaths by 22%. However, effective harm-reduction programme with a poor MDRTB control reduce cumulative tuberculosis deaths by 34%, MDRTB by 14% and HIV-associated-tuberculosis by 56%. Even with good control programmes for drug sensitive TB, neglecting harm reduction and MDRTB control will result in 50% more tuberculosis-related deaths than if both are effectively addressed. Effective harm-reduction programmes reduces cumulative deaths from tuberculosis more substantively than effective MDRTB control. Our finding have important policy implications for communicable disease policies in post-Soviet countries, which need to substantially change if they are to effectively address the emerging HIV and MDRTB epidemics.

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Year:  2006        PMID: 16854499     DOI: 10.1016/j.healthpol.2006.05.021

Source DB:  PubMed          Journal:  Health Policy        ISSN: 0168-8510            Impact factor:   2.980


  7 in total

Review 1.  Systems science methods in public health: dynamics, networks, and agents.

Authors:  Douglas A Luke; Katherine A Stamatakis
Journal:  Annu Rev Public Health       Date:  2012-01-03       Impact factor: 21.981

2.  Drivers of inequality in Millennium Development Goal progress: a statistical analysis.

Authors:  David Stuckler; Sanjay Basu; Martin McKee
Journal:  PLoS Med       Date:  2010-03-02       Impact factor: 11.069

Review 3.  Resistance to implementing policy change: the case of Ukraine.

Authors:  Rifat Atun; Igor Olynik
Journal:  Bull World Health Organ       Date:  2008-02       Impact factor: 9.408

4.  System dynamics applications to injury and violence prevention: a systematic review.

Authors:  Rebecca B Naumann; Anna E Austin; Laura Sheble; Kristen Hassmiller Lich
Journal:  Curr Epidemiol Rep       Date:  2019-04-25

5.  Tuberculosis infection prevention and control: why we need a whole systems approach.

Authors:  Karina Kielmann; Aaron S Karat; Gimenne Zwama; Christopher Colvin; Alison Swartz; Anna S Voce; Tom A Yates; Hayley MacGregor; Nicky McCreesh; Idriss Kallon; Anna Vassall; Indira Govender; Janet Seeley; Alison D Grant
Journal:  Infect Dis Poverty       Date:  2020-05-25       Impact factor: 4.520

6.  System dynamics modeling of public health services provided by China CDC to control infectious and endemic diseases in China.

Authors:  Meina Li; Wenya Yu; Wei Tian; Yang Ge; Yuan Liu; Tao Ding; Lulu Zhang
Journal:  Infect Drug Resist       Date:  2019-03-13       Impact factor: 4.003

Review 7.  A modeling framework for the evolution and spread of antibiotic resistance: literature review and model categorization.

Authors:  Ian H Spicknall; Betsy Foxman; Carl F Marrs; Joseph N S Eisenberg
Journal:  Am J Epidemiol       Date:  2013-05-09       Impact factor: 4.897

  7 in total

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