Who mixes with whom among men who have sex with men? Implications for modelling the HIV epidemic in southern India

JOURNAL OF THEORETICAL BIOLOGY

卷:355

Article

Mitchell, K. M.¹  Foss, A. M.¹  Prudden, H. J.¹  Mukandavire, Z.¹  Pickles, M.^1,2  Williams, J. R.²  Johnson, H. C.¹  Ramesh, B. M.^3,4  Washington, R.^3,5  Isac, S.³  Rajaram, S.⁶  Phillips, A. E.²  Bradley, J.^6,7  Alary, M.^7,8,9  Moses, S.⁴  Lowndes, C. M.^7,10  Watts, C. H.¹  Boily, M. -C.²  Vickerman, P.^1,11 

[1] London Sch Hyg & Trop Med, London WC1H 9SH, England

[2] Univ London Imperial Coll Sci Technol & Med, London SW7 2AZ, England

[3] Karnataka Hlth Promot Trust, Bangalore, Karnataka, India

[4] Univ Manitoba, Winnipeg, MB, Canada

[5] St Johns Res Inst, Bangalore, Karnataka, India

[6] CHARME India Project, Bangalore, Karnataka, India

[7] CHU Quebec, Ctr Rech, Quebec City, PQ, Canada

[8] Univ Laval, Dept Med Sociale & Prevent, Quebec City, PQ, Canada

[9] Inst Natl Sante Publ Quebec, Quebec City, PQ, Canada

[10] Publ Hlth England, London, England

[11] Univ Bristol, Bristol, Avon, England

关键词: Mathematical model;    Mixing matrix;    Sexually transmitted infection;    Disassortative mixing;    Pre-exposure prophylaxis;   

DOI  :  10.1016/j.jtbi.2014.04.005

来源: Elsevier

【 摘 要 】

In India, the identity of men who have sex with men (MSM) is closely related to the role taken in anal sex (insertive, receptive or both), but little is known about sexual mixing between identity groups. Both role segregation (taking only the insertive or receptive role) and the extent of assortative (within-group) mixing are known to affect HIV epidemic size in other settings and populations. This study explores how different possible mixing scenarios, consistent with behavioural data collected in Bangalore, south India, affect both the HIV epidemic, and the impact of a targeted intervention. Deterministic models describing HIV transmission between three MSM identity groups (mostly insertive Panthis/Bisexuals, mostly receptive Kothis/Hijras and versatile Double Deckers), were parameterised with behavioural data from Bangalore. We extended previous models of MSM role segregation to allow each of the identity groups to have both insertive and receptive acts, in differing ratios, in line with field data. The models were used to explore four different mixing scenarios ranging from assortative (maximising within-group mixing) to disassortative (minimising within-group mixing). A simple model was used to obtain insights into the relationship between the degree of within-group mixing, R-0 and equilibrium HIV prevalence under different mixing scenarios. A more complex, extended version of the model was used to compare the predicted HIV prevalence trends and impact of an HIV intervention when fitted to data from Bangalore. With the simple model, mixing scenarios with increased amounts of assprtative (within-group) mixing tended to give rise to a higher R-0 and increased the likelihood that an epidemic would occur. When the complex model was fit to HIV prevalence data, large differences in the level of assortative mixing were seen between the fits identified using different mixing scenarios, but little difference was projected in future HIV prevalence trends. An oral pre-exposure prophylaxis (PrEP) intervention was modelled, targeted at the different identity groups. For intervention strategies targeting the receptive or receptive and versatile MSM together, the overall impact was very similar for different mixing patterns. However, for PrEP scenarios targeting insertive or versatile MSM alone, the overall impact varied considerably for different mixing scenarios; more impact was achieved with greater levels of disassortative mixing. 2014 The Authors. Published by Elsevier Ltd.

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