Access to antiretroviral therapy (ART) is increasing globally ; however the impact of ART on sexual risk behavior and transmission of HIV in Africa is unknown. Although ART may prevent HIV transmission through reduced infectivity , this could be offset by increases in risky sexual behaviour . In addition, cell-associated genital HIV shedding may occur in people with low plasma HIV viral load [4,5] allowing for the potential transmission of drug-resistant strains of HIV . Models developed for South Africa and Uganda have suggested that increases in risky sexual behavior by those initiating ART could reduce expected declines in HIV incidence [7,8]. HIV transmission from people on ART will depend on the effectiveness of ART in reducing viral load and of ART programs in reducing sexual risk behavior.
The association between taking ART and sexual behavior in industrialized countries is unclear. Some studies of men who have sex with men, heterosexual, and injecting drug user populations in the United States have demonstrated that risky sexual behaviors [9–11] and STI incidence  are higher among HIV-infected persons on ART than among those not on treatment. In contrast, other studies, including several from Europe, have shown significantly lower rates of risky sex among those on ART [13–16]. Aggregated data from 16 studies from industrialized countries showed that prevalence of unprotected sex was no higher among those receiving ART than those not on ART .
While ART has been shown to reduce viral load [18,19] and mortality[18,20] in Africa, its effect on risky sexual behavior has not been assessed in a prospective cohort . We assessed sexual behavior before and 6 months after initiation of ART in a cohort of 926 HIV-infected adults in rural Uganda, including: (1) factors associated with sexual activity; (2) changes in desire and frequency of sexual behavior after 6 months of ART; and (3) changes in estimated risk of HIV transmission based on viral load, risky sex, and established condom failure rates.
Between May 2003 and November 2004, we enrolled and followed persons with HIV-1 infection who were clients of the Tororo branch of The AIDS Support Organization (TASO), a non-governmental organization that has provided HIV/AIDS care and support since 1987. Registration at TASO is free. Forty-six percent of the general population in the Tororo area lives below the Ugandan poverty line, defined as a household's ability to meet minimum caloric requirements . Clients with a CD4 cell count ≤ 250 cells/μl or symptomatic AIDS (defined as CDC category B or C conditions) living within a 100 km2 catchment area were eligible for enrollment. We translated consent forms and questionnaires into six local languages. All participants and their household members provided written informed consent. We offered home-based HIV voluntary counseling and testing (VCT) to all participants’ household members at enrollment and after 1 year  and provided free ART for those clinically eligible.
The study includes a randomized ART efficacy monitoring trial evaluating clinical monitoring, clinical monitoring with quarterly CD4 cell count measurements, and clinical monitoring with quarterly CD4 cell counts and HIV viral load. Participants received weekly home-based ART delivery and monitoring by lay field officers and referral as needed for free medical and psychosocial care at the study clinic. The first line ART regimen was stavudine, lamivudine, and nevirapine or efavirenz. Results of this trial will be presented elsewhere.
The Uganda National Council of Science and Technology and the Institutional Review Boards of the Uganda Virus Research Institute, the University of California, San Francisco, and the Centers for Disease Control and Prevention (CDC) approved the study. Funding was provided by the US Department of Health and Human Services/CDC through the Emergency Plan for AIDS Relief.
Study design and procedures
At enrollment and every 3 months thereafter, study counselors conducted private home-based structured interviews with participants. Counselors were trained in rapport-building techniques and eliciting information from participants on sensitive topics in a non-judgmental manner. They asked participants about their sexual desire, opportunities to meet new partners, expectations for future sexual activity, and frequency of sex and condom use with each partner for the previous three months.
We obtained frequency of condom use for the prior 2 weeks as act-specific use of a condom and for the previous 3 months as ‘always’, ‘sometimes’, or ‘never’. The number of unprotected sexual acts in last 3 months was estimated from the frequency of sex and condom use for each partner. For those reporting ‘always’ using a condom with a particular partner, the number was estimated as zero unprotected sex acts. For those reporting ‘never’ using a condom with a partner, the frequency of sex with that partner was used for the estimate of unprotected sex acts. For those reporting ‘sometimes’ using a condom with a partner, the number of sex acts with and without a condom were estimated by multiplying the average 2-week condom coverage rate of all persons reporting sometimes using a condom and the frequency of sex with a specific sexual partner over the previous 3 months. Participants provided each sexual partner's HIV serostatus (tested positive, tested negative, unknown) and partner type (spouse, steady or casual partner). We defined abstinence as having no sexual intercourse during the prior 3 months and risky sex as participant-reported inconsistent condom use with a HIV-negative or unknown serostatus partner.
All participants received a behavioral intervention that included group education on ART at enrollment and testing of cohabitating partners through home-based family VCT. In individual sessions, participants developed personal sexual behavior plans in which they assessed their motivation for avoiding transmission and their current risk situation and made risk reduction plans that included how they might cope with increased sexual desires. Risk reduction options discussed by counselors included abstinence, condom use, reduced frequency of sex, and alternative forms of sexual expression. Counselling emphasized risk reduction with HIV-negative or unknown status partners and free condoms were provided to clients who requested them. Although participants had received some prevention counseling previously as TASO clients, partner VCT was not provided and emphasis was on avoiding re-infection.
We measured HIV plasma viral loads using Cobas Amplicor HIV-1 Monitor version 1.5 (Roche, Branchburg, New Jersey, USA) and enumerated CD4 cells using TriTEST reagents following an in-house dual platform protocol and MultiSET and Attractors software using a FACScan flow cytometer (Becton-Dickenson, Franklin Lakes, New Jersey, USA). We tested dried blood spots of household-members for HIV using a parallel enzyme immunoassay (EIA) screening algorithm [Genetic Systems rLAV EIA; Bio-Rad, Redmond, Washington, USA and Vironostika HIV-1 EIA; BioMerieux, Durham, North Carolina, USA or Vironostika HIV Uni-Form II plus O; BioMerieux, Boxtel, The Netherlands].
Data management and statistical analysis
We double-entered questionnaire data using Epi-Info 2002 (CDC, Atlanta, Georgia, USA) and conducted analysis using SAS version 9.1 (SAS Institute, Cary, North Carolina, USA). We included only adults who had their baseline data collected within 2 weeks of initiating ART. We excluded data from clients who were ARV-experienced at enrollment or who initially enrolled as household members because their ART exposure periods were different from index participants. We analyzed follow-up data collected between 150 and 210 days after initiating ART.
We compared baseline demographic and behavioral characteristics between men and women using chi-squared tests. To assess factors associated with being sexually active and changes in sexual activity over time we conducted participant-level analyses (unit of analysis was a participant initiating ART). We developed multivariate logistic regression models to assess predictors of being sexually active at baseline and to compare sexual activity at baseline with follow-up.
We also conducted sexual partner-level analyses (unit of analysis was a sexual partner of a participant initiating ART) incorporating into a model partner HIV-status, number of sexual contacts, condom use, and the cohort member's HIV viral load. Multiple partners of the same participant were included as separate units of analysis. The number of sexual acts and unprotected sexual acts per year were analyzed using Poisson regression models. In both the logistic and Poisson regression models, we used generalized estimating equation methods with an exchangeable correlation structure to adjust for repeated observations for the same cohort member.
HIV transmission risk
We calculated partner-specific transmission risks and summed these to assess overall transmission risk for the population. Expected sero-conversions in the last 3 months were calculated using number of partners, partner-specific condom use, partner HIV status, frequency of sexual behavior, and viral load. We conservatively calculated and used in our model a mean log viral load from the 3-month and 6-month viral loads of the participants. Probabilities of transmission per coital act based on viral load and age were derived from sero-conversion studies of HIV-discordant couples in Uganda [24,25]. For protected sexual acts, we conservatively applied a 20% condom failure rate.[26,27] We also estimated HIV transmission rates at baseline and follow-up using partner HIV-status based on baseline laboratory results, rather than participant report of their partner's HIV status. These analyses were restricted to cohabiting partners of participants for whom laboratory HIV results were available.
Participant characteristics and follow-up
A total of 926 ART-naive adults, from 905 households, were included in the baseline analysis. Of these, 40 (4%) died prior to follow-up and four (0.4%) did not complete a follow-up interview. For 882 persons who had follow-up interviews, the mean time interval from ART initiation to follow-up data collection was 185 days; 815 (93%) fell between 150 to 210 days and were included for follow-up analysis.
The median age at enrollment was 41 years for men and 37 years for women. The population had advanced HIV infection at baseline, with a mean CD4 cell count of 124 cells/μl and a median serum HIV-1 RNA level of 226 000 copies/ml. Women were less educated, less likely to drink alcohol, less likely to want more children and more likely to be widowed than men. Only 23% of participants had education beyond primary school (Table 1).
Sexual activity at baseline
At baseline, 53% of men and 79% of women reported abstinence in the previous 3 months. Of these, 34% had chosen to abstain, and 66% reported temporal reasons for abstinence including poor health, no partner, and no interest. Of the 318 living in stable relationships for whom sexual behavior information was available, 100 (65%) men and 96 (59%) women reported that they had had sexual intercourse in the past 3 months. Of the 605 not living with a regular partner, 13% of men and 9% of women reported sexual intercourse in the previous 3 months. Overall, 234 (92%) of those sexually active had had only one partner and 191 (75%) had had sex only with a spouse in the previous 3 months. There were 193 participants who had sex with spouses, 37 with steady partners, and 25 with casual partners. Among the sexually active, 44% of women and 45% of men reported unprotected sex with at least one partner.
In multivariate analysis, factors independently associated with sexual activity at baseline included age, marital status, main source of income, viral load and number of lifetime sexual partners. Sexual activity decreased with each increasing year of age [odds ratio (OR), 0.96; 95% confidence interval (CI), 0.93–0.98; P = 0.0005]. Those who were married or cohabiting were more likely to be sexually active compared with those who were widowed (OR, 23.4; 95% CI, 14.6–37.6; P < 0.0001). Participants whose main source of income was trade were more likely to be sexually active than farmers (OR, 2.4; 95% CI, 1.4–4.0; P = 0.0007). Participants with viral loads ≤ 38 500 copies/ml were more likely to be sexually active in comparison with those with viral load > 38 500 copies/ml (OR, 1.9; 95% CI, 1.1–3.4; P = 0.0242). Sexual activity was more common among persons with ≥ 5 lifetime partners (OR, 2.9; 95% CI, 1.7–5.1; P = 0.0002), or three or four lifetime sexual partners (OR, 2.0; 95% CI, 1.2–3.5; P = 0.0134) compared with those with < 3 lifetime sexual partners.
Sexual activity after 6 months on ART
The proportion of participants who had had sexual intercourse within the prior 3 months did not change between baseline and follow-up for either women (21 versus 24%, P = 0.1772) or men (47 versus 53%, P = 0.2243), but both reported changes in sexual feelings and experiences (Table 2). Consistent condom use increased and unprotected sex with partners of negative or unknown status decreased (Table 2).
Changes in risky sex within partnerships
At baseline 255 sexually active people had 280 partners; at follow-up 252 people had 268 partners. Partner-based analyses showed increases in consistent condom use from 59 to 82% (P = 0.0003) with partners with negative or unknown HIV status. The mean number of sexual contacts in the previous 3 months did not increase significantly (Table 3). Overall, there was a 70% reduction in the number of unprotected sexual acts with a partner of known negative or unknown sero-status: among men there was a 75% reduction (5.4 sex acts versus 1.3 sex acts; P = 0.0198), and among women, a 58% reduction (3.5 sex acts versus 1.5 sex acts; P = 0.0268). Condom use increased within concordant positive partnerships although the decline in mean number of unprotected sexual contacts was not significant (Table 3). Overall 88% of risky sexual acts at baseline and 86% at follow-up occurred within married and cohabiting couples.
HIV transmission risk within partnerships
After 6 months on ART, 85% of persons engaging in sex with negative or partners with unknown status had an HIV-1 RNA level below 1700 copies/ml (Table 4), the level associated with lowest risk in previous studies. [8,25] Estimated risk of HIV transmission to partners of negative and unknown status reduced from 45.7 per 1000 person years at baseline to 0.9 per 1000 person years at follow-up, representing a 98% decrease (Table 4). When analysis was restricted to the 49 cohabiting and sexually active partners for whom HIV-negative status based on study laboratory investigations was available, results were similar (risk of HIV transmission reduced from 43.5 per 1000 person years to 0.8 per 1000 person years, representing a 98% decrease). When VCT was repeated at 1 year for these HIV-negative spouses, one male spouse of a female index participant had sero-converted. Both spouses self-reported inconsistent condom use with each other and the man reported unprotected sex with an outside steady HIV-positive partner.
Providing ART, prevention counseling, and partner VCT reduced self-reported sexual risk behavior among HIV-infected adults in rural Uganda and also substantially reduced the risk of transmission to their uninfected partners. Overall, there was a 70% reduction in risky sex and a 98% reduction in the number of estimated sero-conversions after 6 months. Changes occurred among men and women, irrespective of age. These findings support arguments for incorporating prevention into ART programs  and provide initial empirical evidence that ART, when combined with prevention interventions, can help reduce HIV transmission in Africa.
Over 85% of risky sexual behavior at baseline and follow-up occurred within married and cohabiting couples. HIV discordance is common within couples in Africa, ranging from 3–20% in the general population [29–31] to as high as 51% within couples in which one partner seeks HIV care services [32,33], but knowledge of partner status and understanding of discordance is extremely low [21,34] To reduce the high risk of HIV transmission within discordant couples and to minimize primary infection with drug-resistant strains of HIV, ART programs in Africa should consider not only prevention counselling, but proactive testing of sexual partners.
Overall, sexual activity remained low in this population, with the majority still abstinent after 6 months on ART. While this may reflect our sample, which included a high proportion of older, widowed women, similar findings have been reported from Cote D'Ivoire . However, both men and women experienced substantial increases in sexual desire and in opportunities to meet new partners after ART initiation, highlighting the importance of on-going prevention interventions for populations on ART.
Without a randomized efficacy trial, it is not possible to disaggregate the effects of our prevention activities, which included making a personal sexual behavior plan, partner VCT, and condom provision from the effects of providing ART alone. However, ethical considerations would probably preclude such a trial, as similar prevention interventions in the pre-ART era involving HIV-infected people in Africa, such as VCT interventions for discordant couples, also resulted in substantial increases in reported condom use – from 3 to 80% in Zambia  and 5 to 71% in Congo . The interventions we used could be replicated by other ART programs and standards for incorporating prevention into ART programs in Africa would be beneficial. Evidence-based guidelines have already been developed elsewhere and could be rapidly adapted and disseminated in Africa .
Our findings are based on self-reported sexual behavior, which has been shown to be biased in some settings . A further limitation of our data could be that study counselors who provided on-going risk reduction counseling also interviewed participants. This may have led to under-reporting of risky sex by participants due to social desirability. However, counselors were trained to minimize bias by using non-judgmental approaches. Moreover, within the subset of discordant spouses for whom we had laboratory confirmed HIV results at 1 year, no sero-conversions occurred among those who reported consistent condom use. The one man who sero-converted had self-reported inconsistent condom use and multiple HIV-positive partners, thereby providing evidence that self-report may be reliable in this population. Given the expense of HIV incidence studies, nearly all studies on ART and sexual risk behavior have been based on self-reported data . Finally, large studies in Uganda have shown correlations between self-reported sexual behavior and HIV infection , suggesting that biases introduced by use of self-reported data in Uganda do not mask key associations.
We assumed conservatively that all partners of unknown status were HIV-negative and that condom failure rates were 20%; however, if some of these partners were HIV-positive or condom failure rates were lower, then we may have overestimated overall transmission risk. Our findings of equivalent transmission risk estimates among the subset with laboratory confirmed HIV status suggested that little bias was introduced because of partners of unknown HIV status. As we used established transmission rates from a population that did not contain persons with undetectable viral loads, we may have also differentially overestimated transmission risk at follow-up by assigning the same transmission risk to those with undetectable viral loads as to those with viral load < 1700 copies/ml. Finally, on-going monitoring, beyond our 6-month follow-up, will be important to assess whether the reductions in risky sex and HIV transmission risk are maintained over time. Risk behavior monitoring and prevention interventions targeting HIV-negative people as well as HIV-infected persons not on ART will also be critical as access to ART expands in Africa.
Our findings support arguments that integrated ART and prevention programs can reduce HIV incidence among uninfected sexual partners of persons on therapy in Africa. Minimizing HIV transmission by persons taking ART will also help to minimize primary infections with drug-resistant strains of HIV and help to extend the utility of less expensive first-line regimens in Africa. Randomized efficacy evaluations of simple prevention interventions that can be implemented in ART clinical settings are needed. Given the extremely high cost of ART, even for generic formulations, the added investment by ART programs for a strong prevention component would be marginal while the potential gains in reducing HIV transmission could be substantial. Our findings that an integrated ART and prevention program may reduce HIV transmission risk reinforce clinical and equity arguments for expanding ART to the millions of Africans who will soon die without it.
We thank HBAC project staff and clients for all their time and efforts. Dr. Robert Downing supervised all laboratory work for HBAC and R Ransom, S Bechange and S Moss assisted with data management. We also thank Drs W McFarland, K Lindan, R Stall, D Purcell, and J Moore for their comments on earlier versions of this manuscript and T Wamala for her assistance with the references.
1. UNAIDS. 2004 report on the Global HIV/AIDS Epidemic: Fourth Global Report
. Geneva: UNAIDS; 2004.
2. Porco TC, Martin JN, Page-Shafer K, Cheng A, Charlebois E, Grant RM, et al
. Decline in HIV infectivity following the introduction of highly active antiretroviral therapy. AIDS 2004; 18:81–88.
3. Katz MH, Schwarcz SK, Kellogg TA, Klausner JD, Dilley JW, Gibson S, et al
. Impact of highly active antiretroviral treatment on HIV seroincidence among men who have sex with men: San Francisco. Am J Public Health 2002; 92:388–394.
4. Fiore JR, Suligoi B, Saracino A, Di Stefano M, Bugarini R, Lepera A, et al
. Correlates of HIV-1 shedding in cervicovaginal secretions and effects of antiretroviral therapies. AIDS 2003; 17:2169–2176.
5. Kovacs A, Wasserman SS, Burns D, Wright DJ, Cohn J, Landay A, et al
. Determinants of HIV-1 shedding in the genital tract of women. Lancet 2001; 358:1593–1601.
6. Little SJ, Holte S, Routy JP, Daar ES, Markowitz M, Collier AC, et al
. Antiretroviral-drug resistance among patients recently infected with HIV. N Engl J Med 2002; 347:385–394.
7. Auvert B, Males S, Puren A, Taljaard D, Carael M, Williams B. Can highly active antiretroviral therapy reduce the spread of HIV?: a study in a township of South Africa. J Acquir Immune Defic Syndr Hum Retrovirol 2004; 36:613–621.
8. Gray RH, Li X, Wawer MJ, Gange SJ, Serwadda D, Sewankambo NK, et al
. Stochastic simulation of the impact of antiretroviral therapy and HIV vaccines on HIV transmission; Rakai, Uganda
. AIDS 2003; 17:1941–1951.
9. Vanable PA, Ostrow DG, McKirnan DJ. Viral load and HIV treatment attitudes as correlates of sexual risk behavior among HIV-positive gay men. J Psychosom Res 2003; 54:263–269.
10. Vlahov D, Safaien M, Lai S, Strathdee SA, Johnson L, Sterling T, et al
. Sexual and drug risk-related behaviours after initiating highly active antiretroviral therapy among injection drug users. AIDS 2001; 15:2311–2316.
11. Kalichman SC, Rompa D, Austin J, Luke W, DiFonzo K. Viral load, perceived infectivity, and unprotected intercourse. J Acquir Immune Defic Syndr 2001; 28:303–305.
12. Scheer S, Chu PL, Klausner JD, Katz MH, Schwarcz SK. Effect of highly active antiretroviral therapy on diagnoses of sexually transmitted diseases in people with AIDS. Lancet 2001; 357:432–435.
13. Dukers NH, Goudsmit J, de Wit JB, Prins M, Weverling GJ, Coutinho RA. Sexual risk behaviour relates to the virological and immunological improvements during highly active antiretroviral therapy in HIV-1 infection. AIDS 2001; 15:369–378.
14. Wolf K, Young J, Rickenbach M, Vernazza P, Flepp M, Furrer H, et al
. Prevalence of unsafe sexual behavior among HIV-infected individuals: The Swiss HIV Cohort Study. J Acquir Immune Defic Syndr Hum Retrovirol 2003; 33:494–499.
15. Miller M, Meyer L, Boufassa F, Persoz A, Sarr A, Robain M, et al
. Sexual behavior changes and protease inhibitor therapy. SEROCO Study Group. AIDS 2000; 14:F33–F39.
16. Desquilbet L, Deveau C, Goujard C, Hubert JB, Derouineau J, Meyer L. Increase in at-risk sexual behaviour among HIV-1-infected patients followed in the French PRIMO cohort. AIDS 2002; 16:2329–2333.
17. Crepaz N, Hart TA, Marks G. Highly active antiretroviral therapy and sexual risk behavior: a meta-analytic review. JAMA 2004; 292:224–236.
18. Coetzee D, Hildebrand K, Boulle A, Maartens G, Louis F, Labatala V, et al
. Outcomes after two years of providing antiretroviral treatment in Khayelitsha, South Africa. AIDS 2004; 18:887–895.
19. Gray JW. Childhood tuberculosis and its early diagnosis. Clin Biochem 2004; 37:450–455.
20. Weidle PJ, Malamba S, Mwebaze R, Sozi C, Rukundo G, Downing R, et al
. Assessment of a pilot antiretroviral drug therapy programme in Uganda
: patients’ response, survival, and drug resistance. Lancet 2002; 360:34–40.
21. Moatti JP, Prudhomme J, Traore DC, Juillet-Amari A, Akribi HA, Msellati P. Access to antiretroviral treatment and sexual behaviours of HIV-infected patients aware of their serostatus in Cote D'Ivoire. AIDS 2003; 17(suppl 3):S69–S77.
Bureau of Statistics (UBOS). Uganda National Household Survey 2002/2003
. 2003. http://www.ubos.org
23. Mermin J, Lule J, Ekwaru JP, Malamba S, Downing R, Ransom R, et al
. Effect of cotrimoxazole prophylaxis on morbidity, mortality, CD4 cell count, and HIV viral load among persons with HIV in rural Uganda
. Lancet 2004; 364:1428–1434.
24. Quinn TC, Wawer MJ, Sewankambo N, Serwadds D, Li C, Wabwire-Mangen F, et al
. Viral load and heterosexual transmission of human immunodeficiency virus type 1. N Engl J Med 2000; 342:921–929.
25. Gray RH, Wawer MJ, Brookmeyer R, Sewankambo NK, Serwadda D, Wabwire-Mangen F, et al
. Probability of HIV-1 transmission per coital act in monogamous, heterosexual, HIV-1-discordant couples in Rakai, Uganda
. Lancet 2001; 357:1149–1153.
26. Weller S, Davis K. Condom effectiveness in reducing heterosexual HIV transmission. Cochrane Database System Review 2001:CD003255.
27. Pinkerton SD, Abramson PR. Effectiveness of condoms in preventing HIV transmission. Soc Sci Med 1997; 44:1303–1312.
28. Valdiserri RO. International scale-up for antiretroviral treatment: where does prevention fit? J Acquir Immune Defic Syndr Hum Retrovirol 2004; 37(Suppl 2):S138–S141.
29. McKenna SL, Muyinda GK, Roth D, Mwali M, Ng'andu N, Myrick A, et al
. Rapid HIV testing and counseling for voluntary testing centers in Africa. AIDS 1997; 11:S103–S110.
30. Carpenter LM, Kamali A, Ruberantwari A, Malamba S, Whitworth JAG. Rates of HIV-1 transmission within marriage in rural Uganda
in relation to the HIV sero-status of the partners. AIDS 1999; 13:1083–1089.
31. Lurie MN, Williams BG, Zuma K, Mkaya-Mwamburi D, Garnett GP, Sweat MD, et al
. Who infects whom? HIV-1 concordance and discordance among migrant and non-migrant couples in South Africa. AIDS 2003; 17:2245–2252.
32. N'Gbichi JM, de Cock KM, Batter V, Yeboue K, Ackah A, Zadi F, et al
. HIV status of female sex partners of men reactive to HIV-1, HIV-2 or both viruses in Abidjan, Cote D'Ivoire. AIDS 1995; 9:951–954.
33. Kabatesi D, Ransom R, Lule JR, Coutinho A, Baryarama F, Bunnell RE. HIV prevalence among household members of persons living with HIV in rural Uganda.XIV International Aids Conference
. Barcelona, July 2002 [abstract TuPeD4910].
34. Bunnell RE, Nassozi J, Marum E, Mubangizi J, Malamba S, Dillon B, et al
. Living with discordance: knowledge, challenges, and prevention strategies of HIV-discordant couples in Uganda.AIDS
Care 2005; 17
35. Allen S, Meinzen-Derr J, Kautzman M, Zulu I, Trask S, Fideli U, et al
. Sexual behavior of HIV discordant couples after HIV counseling and testing. AIDS 2003; 17:733–740.
36. Kamenga M, Ryder RW, Jingu M, Mbuyi N, Mbu L, Behets F, et al
. Evidence of marked sexual behavior change associated with low HIV-1 seroconversion in 149 married couples with discordant HIV-1 serostatus: experience at an HIV couselling center in Zaire. AIDS 1991; 5:61–67.
37. Centers for Disease Control and Prevention. Incorporating HIV prevention into the medical care of persons living with HIV. Recommendations of CDC, the Health Resources and Services Administration, the National Institutes of Health, and the HIV Medicine Association of the Infectious Diseases Society of America.MMWR Recomm Rep
38. Schroder KE, Carey MP, Vanable PA. Methodological challenges in research on sexual risk behavior: II. Accuracy of self-reports. Ann Behav Med 2003; 26:104–123.
39. Serwadda D, Wawer MJ, Musgrave SD, Sewankambo NK, Kaplan JE, Gray RH. HIV risk factors in three geographic strata of rural Rakai District, Uganda
[see comments]. AIDS 1992; 6:983–989.