Computer Science ›› 2014, Vol. 41 ›› Issue (1): 72-79.

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Evaluating Heterosexual HIV Transmission and Interventions Based on Agent Bipartite Dynamic Weighting Scale-free Network

HE Xiao-li,BI Gui-hong and WANG Hai-rui   

  • Online:2018-11-14 Published:2018-11-14

Abstract: The spread of HIV is the result of coevolution of individual behaviors,intervention measures and social networks.This paper presented a method based on bipartite dynamic weighting scale-free agent network for investigating HIV heterosexual transmission and the effectiveness of HIV prevention interventions.According to different high-risk behavior,the female is divided into the general population and female sex workers (FSW),and the male is divided into the general population and clients of female sex worker (CSW) in the bipartite network.A bipartite scale-free network configuration generation algorithm was constructed for describing the relationships of heterosexual contacts.A new weighting algorithm was developed to construct weighting network by adding sex act explicitly on heterosexual contact network.The dynamics of heterosexual network is supported through heterosexual network stable,casual and temporarypartnership dissolution and formation.In the model,agent represents males and females who interact each other within risk networks engaging in sexual behavior over time.Agent describes individual high-risk behavior,course of HIV disease and social structure.Agent also defines the behavior rules for adaption to the HIV prevention interventions.Exploratory simulation results are consistent with empirical studies,which demonstrate the effectiveness of a combination of interventions,including voluntary counseling and HIV test,condom promotion for safe sexual behavior and initiating antiretroviral treatment.

Key words: Agent,Bipartite scale-free network,Intervention,HIV

[1] Kretzschmar M,Wiessing L G.Modelling the spread of HIV in social networks of injecting drug users [J].AIDS,1998(12):801-811
[2] Eyob T,Marwala T,Mueller C.Agent-Based Modelling:A case study in HIV Epidemic [C]∥IEEE Proceedings of the 4th International Conference on Hybrid Intelligent Systems.2004:154-159
[3] 李璐,宣慧玉,高宝俊.基于元胞自动机的异质个体HIV/AIDS传播模型[J].系统管理学报,2008,7(6):704-710
[4] Mei S,Sloot P M A,Quax R,et al.Complex agent networks explaining the HIV epidemic among homosexual men in Amsterdam [J].Mathematics and Computers in Simulation,2010,80(5):1018-1030
[5] Bai Wen-jie,Wang Zhou-tao,Bing Hong.Interplay betweenHIV/AIDS Epidemics and Demographic Structures Based on Sexual Contact Networks [J].International Journal of Modern Physics C,2007,18(6):1025-1045
[6] Liljeros F,Edling C R,Amaral L A N,et al.The web of human sexual contacts [J].Nature,2001,1:907-908
[7] Sumodhee C,Hsieh J,Sun C,et al.Impact of Social Behaviors on HIV Epidemic:A Computer Simulation View [J].Int.Conf.on Computational Intelligence for Modelling,Control and Automation,2005,2:550-556
[8] 李玮,毕贵红,张寿明.基于agent动态小世界网络的HIV同性传播仿真研究[J].系统仿真学报,2012,24(1):189-195
[9] Kiss I Z,Green D M,Kao R R.The effect of network mixing patterns on epidemic dynamics and the effcacy of disease contact tracing [J].Journal of The Royal Society Interface,2008,5:791-799
[10] Sloot P,Ivanov S.Stochastic simulation of HIV population dynamics through complex network modeling [J].International Journal of Computer Mathematics,2007,85(8):1175-1187
[11] 臧春鹏,王宁.抗病毒治疗在阻断艾滋病传播流行中的作用[J].中华临床医师杂志:电子版,2011,5(8):2343-2346
[12] 王俊杰.动力学模型在我国艾滋病五类高危人群传播规律分析中的应用[D].北京:中国疾病预防控制中心,2011:1-129
[13] Granich R M,Gliks C F.Universal voluntary HIV testing with immediate antiretroviral therapy as a strategy for elimination of HIV transmission:a mathematical model [J].The Lancet,2008,313:48-57
[14] Ergün G.Human sexual contact network as a bipartite graph [J].Physical A,2002,308(1):483-488
[15] 温罗生,杨小帆,钟将.在二部无标度网上的两性疾病传播[J].物理学报,2008,57(8):4794-4799
[16] Moslonka-Lefebvre M,Bonhoeffera S,Alizonc S.Weighting for sex acts to understand the spread of STI on networks [J].Journal of Theoretical Biology,2012,1(21):46-53
[17] Gilbert N.Agent-based models[M].SAGE Publications,Incorporated,2007
[18] Bender E,Canfield E.The asymptotic number of labeled graphs with given degree sequences [J].Combinatorial Theory,Series A,1978,24:296-307
[19] Baggaley R F,White R G,Boily M-C.HIV Transmission Risk Through Anal Intercourse:Systematic Review,Meta-Analysis and Implications for HIV Prevention [J].International Journal of Epidemiology,2010,39(4):1048-1063
[20] Graw F,Leitner T,Ribeiro R M.Agent-based and phylogenetic analyses reveal how HIV-1moves between risk groups:Injecting drug users sustain the heterosexual epidemic in Latvia [J].Epidemics,2012,4(2):104-116
[21] Leclerc P M,Matthews A P,Garenne M L.Fitting the HIV Epidemic in Zambia:A Two-Sex Micro-Simulation Model [J].PLoS ONE,2009,4(5):e5439
[22] Giovanna Merli M,Hertog S,Wang B,et al.Modelling thespread of HIV/AIDS in China:the role of sexual transmission [J].Popul Stud (Camb),2006,0(1):1-22
[23] 臧春鹏,王宁.抗病毒治疗对艾滋病传播流行的影响[D].北京:中国疾病预防控制中心,2011:1-115
[24] Anderson R M,Medley G.Epidemiology of HIV infection and AIDS:incubation and infectious periods [J].Survival and vertical transmission,AIDS,1988,2(1):57-63
[25] Wilensky U.NetLogo.http://ccl.northwestern.edu/ne-tlogo/.Center for Connected Learning and Computer-Based Mo-deling,Northwestern University,Evanston,IL,1999
[26] 王岚,王璐,丁正伟,等.中国1995-2009年艾滋病哨点监测主要人群艾滋病病毒感染流行趋势分析[J].中华流行病学,2011,2(1):20-24
[27] Medley G F,Anderson R M,Stoneburner R,et al.Incubation period of AIDS in patients infected via blood transfusion [J].Nature,1987,8(6132):719-721
[28] Rothenberg R,Woelfel M,Stoneburner R,et al.Survival withthe acquired immunodeficiency syndrome,Experience with 5833cases in New York City [J].New England Journal of Medicine,1987,317(21):1297-1302
[29] vieira I T,Cheng R C H,Harper P R,et al.Small world network models of the dynamics of HIV infection [J].Annals of Operations Research,2010,8(1):173-200
[30] Bershteyn A,Klein D J,Wenger E, et al.Description of theEMOD-HIV Model v0.7[M].2012
[31] High-risk behaviours and HIV/syphilis prevalence among men who have sex with men in Beijing[Z].China CDC,2008

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