Literature DB >> 15249695

The Asian Epidemic Model: a process model for exploring HIV policy and programme alternatives in Asia.

T Brown1, W Peerapatanapokin.   

Abstract

Process models offer opportunities to explore the effectiveness of different programme and policy alternatives by varying input behaviours and model parameters to reflect programmatic/policy effects. The Asian Epidemic Model (AEM) has been designed to reflect the primary groups and transmission modes driving HIV transmission in Asia. The user adjusts AEM fitting parameters until HIV prevalence outputs from the model agree with observed epidemiological trends. The AEM resultant projections are closely tied to the epidemiological and behavioural data in the country. In Thailand and Cambodia they have shown good agreement with observed epidemiological trends in surveillance populations and with changes in HIV transmission modes, AIDS cases, male:female ratios over time, and other external validation checks. By varying the input behaviours and STI trends, one can examine the impact of different prevention efforts on the future course of the epidemic. In conclusion, the AEM is a semi-empirical model, which has worked well in Asian settings. It provides a useful tool for policy and programme analysis in Asian countries.

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Year:  2004        PMID: 15249695      PMCID: PMC1765841          DOI: 10.1136/sti.2004.010165

Source DB:  PubMed          Journal:  Sex Transm Infect        ISSN: 1368-4973            Impact factor:   3.519


  36 in total

1.  Agent-based and phylogenetic analyses reveal how HIV-1 moves between risk groups: injecting drug users sustain the heterosexual epidemic in Latvia.

Authors:  Frederik Graw; Thomas Leitner; Ruy M Ribeiro
Journal:  Epidemics       Date:  2012-05-02       Impact factor: 4.396

2.  Bridging populations-sexual risk behaviors and HIV prevalence in clients and partners of female sex workers, Bangkok, Thailand 2007.

Authors:  Neha S Shah; Ray W Shiraishi; Wonchart Subhachaturas; Abhijeet Anand; Sara J Whitehead; Suvimon Tanpradech; Chomnad Manopaiboon; Keith M Sabin; Kimberley K Fox; Andrea Y Kim
Journal:  J Urban Health       Date:  2011-06       Impact factor: 3.671

3.  HIV, STI prevalence and risk behaviours among women selling sex in Lahore, Pakistan.

Authors:  Mohsin Saeed Khan; Magnus Unemo; Shakila Zaman; Cecilia Stålsby Lundborg
Journal:  BMC Infect Dis       Date:  2011-05-11       Impact factor: 3.090

4.  Population Size Estimation of Men Who Have Sex with Men in Ho Chi Minh City and Nghe An Using Social App Multiplier Method.

Authors:  Ali Safarnejad; Nguyen Thien Nga; Vo Hai Son
Journal:  J Urban Health       Date:  2017-06       Impact factor: 3.671

5.  Estimating the Sizes of Populations At Risk of HIV Infection From Multiple Data Sources Using a Bayesian Hierarchical Model.

Authors:  Le Bao; Adrian E Raftery; Amala Reddy
Journal:  Stat Interface       Date:  2015-04-01       Impact factor: 0.582

6.  Understanding the modes of transmission model of new HIV infection and its use in prevention planning.

Authors:  Kelsey K Case; Peter D Ghys; Eleanor Gouws; Jeffrey W Eaton; Annick Borquez; John Stover; Paloma Cuchi; Laith J Abu-Raddad; Geoffrey P Garnett; Timothy B Hallett
Journal:  Bull World Health Organ       Date:  2012-09-14       Impact factor: 9.408

7.  Projecting dynamic trends for HIV/AIDS in a highly endemic area of China: estimation models for Liangshan Prefecture, Sichuan Province.

Authors:  Li Liu; Rongsheng Luan; Wen Yang; Linglin Zhang; Jianhua Zhang; Lei Nan; Jun Huang; Ying Hu; Guangyu Mao; Liao Feng; Yuhan Gong; Sten H Vermund; Yujiang Jia
Journal:  Curr HIV Res       Date:  2009-07       Impact factor: 1.581

8.  Hidden drug resistant HIV to emerge in the era of universal treatment access in Southeast Asia.

Authors:  Alexander Hoare; Stephen J Kerr; Kiat Ruxrungtham; Jintanat Ananworanich; Matthew G Law; David A Cooper; Praphan Phanuphak; David P Wilson
Journal:  PLoS One       Date:  2010-06-08       Impact factor: 3.240

Review 9.  HIV Epidemic in Asia: Implications for HIV Vaccine and Other Prevention Trials.

Authors:  Nittaya Phanuphak; Ying-Ru Lo; Yiming Shao; Sunil Suhas Solomon; Robert J O'Connell; Sodsai Tovanabutra; David Chang; Jerome H Kim; Jean Louis Excler
Journal:  AIDS Res Hum Retroviruses       Date:  2015-06-24       Impact factor: 2.205

10.  Large sharing networks and unusual injection practices explain the rapid rise in HIV among IDUs in Sargodha, Pakistan.

Authors:  Adnan A Khan; Ahmad B Awan; Salman U Qureshi; Ali Razaque; Syed T Zafar
Journal:  Harm Reduct J       Date:  2009-06-26
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