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AIDS:
Epidemiology & Social

Seven-year trends in HIV-1 infection rates, and changes in sexual behaviour, among adults in rural Uganda

Kamali, Anatolia; Carpenter, Lucy Marya,b; Whitworth, James Alexander Grovera; Pool, Roberta; Ruberantwari, Anthonya; Ojwiya, Amatoa

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From the aMedical Research Council Programme on AIDS in Uganda, Uganda Virus Research Institute, Entebbe, Uganda and the bDepartment of Public Health, Institute of Health Science, University of Oxford, Oxford, UK.

Requests for reprints to: Dr A Kamali, Medical Research Council Programme on AIDS in Uganda, Uganda Virus Research Institute, PO Box 49, Entebbe, Uganda.

Received: 9 November 1999; accepted: 2 December 1999.

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Abstract

Objective: To assess trends in HIV-1 infection rates and changes in sexual behaviour over 7 years in rural Uganda.

Methods: An adult cohort followed through eight medical–serological annual surveys since 1989–1990. All consenting participants gave a blood sample and were interviewed on sexual behaviour.

Results: On average, 65% of residents gave a blood sample at each round. Overall HIV-1 prevalence declined from 8.2% at round 1 to 6.9% at round 8 (P = 0.008). Decline was most evident among men aged 20–24 years (11.7 to 3.6%;P < 0.001) and women aged 13–19 (4.4% to 1.4%;P = 0.003) and 20–24 (20.9% to 13.8%;P = 0.003). However, prevalence increased significantly among women aged 25–34 (13.1% to 16.6%;P = 0.04). Although overall incidence declined from 7.7/1000 person-years (PY) in 1990 to 4.6/1000 PY in 1996, neither this nor the age-sex specific rates changed significantly (P > 0.2). Age-standardized death rates for HIV-negative individuals were 6.5/1000 PY in 1990 and 8.2/1000 PY in 1996; corresponding rates for HIV-positive individuals were 129.7 and 102.7/1000 PY, respectively. There were no significant trends in age-adjusted death rates during follow-up for either group. There was evidence of behaviour change towards increase in condom use in males and females, marriage at later age for girls, later sexual debut for boys and a fall in fertility especially among unmarried teenagers.

Conclusions: This is the first general population cohort study showing overall long-term significant reduction in HIV prevalence and parallel evidence of sexual behaviour change. There are however no significant reductions in either HIV incidence or mortality.

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Introduction

The HIV-1 epidemic in sub-Saharan Africa is approaching its third decade. Various approaches have been used to monitor HIV trends in different countries. The group that has been most commonly studied is antenatal clinic attenders [1–4] but data from other groups such as patients with sexually transmitted diseases and sex workers have also been used for this purpose [5]. Observations from these studies have suggested that in countries such as Uganda the epidemic is stabilizing or falling but in others, most notably in southern Africa, it is rising [6].

Although large quantities of data have been accumulated for specific groups, inferences drawn on HIV trends from these are subject to several limitations. Most groups are urban and are, therefore, unlikely to represent the general population nationwide, the majority of whom live in rural areas. As not all pregnant women attend antenatal clinics, and HIV-positive women experience reduced fertility, infection rates obtained from this source could be underestimated [7,8]. In contrast, rates obtained from clients at clinics for sexually transmitted diseases will tend to be overestimates because their sexual behaviour puts them at increased risk of HIV. General populations would, therefore, be more appropriate for assessing epidemic trends.

Some studies have reported HIV-1 prevalence rates for general populations using longitudinal and cross-sectional study designs [9–13], though data from the latter can be hard to interpret. Long-term cohort studies are best for monitoring HIV epidemic trends as they allow estimation of prevalence, incidence and associated mortality; they are, however, very rare because of their cost and complexity. It is also valuable to link these trends with patterns of sexual behaviour in the same population to help to interpret the observations. However, trends in changes of sexual behaviour at the general population level have also rarely been evaluated [14,15].

We describe here 7-year trends of adult HIV-1 prevalence, incidence and mortality for a rural Ugandan general population cohort and also assess changes in reported sexual behaviour during this period.

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Methods

The Medical Research Council general population cohort is located in Masaka district, a rural area of southwest Uganda; it comprises around 10 000 people residing in 15 neighbouring villages, approximately half of whom are adults (aged 13 years and over). The population was first surveyed in 1989–1990 and has been re-surveyed annually since then [16]. Briefly, an annual census enumerates all de jure residents, including joiners and newborns since the previous survey, and obtains information on those that have left or died. A medical team interviews and obtains a blood specimen from all adults within the census who provide informed consent. Since the third survey round, a monthly birth and death register maintained by village registrars has been used to record births and deaths that might otherwise have been missed by the census team. This information is used to supplement census data through regular meetings to reconcile information on births and deaths. The analyses described in the present report are based on data collected during the first eight annual survey rounds, unless stated otherwise.

A range of indicators was used to assess the extent to which sexual behaviour had changed during follow-up. Data on condom use (ever versus never and, if ever, whether with last partner) and numbers of sexual partners in the past 4 weeks were collected using standardized questions administered during the fourth and eighth medical surveys for those who reported ever having had sex. Birth rates for women aged 15–19 and 20–49 years were derived by disaggregating general fertility rates for all women aged 15–49 years reported previously for the first seven survey rounds [7]. Data collected on marital status at annual census were used to estimate the proportion married by single year of age at each survey round.

All sera were tested for HIV-1 antibodies at the central laboratories in Entebbe by two independent enzyme-linked immunoabsorbent assay systems: Recombigen HIV-1 (Cambridge, Biotech, Worcester, MA, USA) and Wellcozyme HIV-1 Recombinant (Wellcome Diagnostics, Dartford, UK). Cambridge Biotech HIV-1 Western blot (Cambridge Biotech, Rockville, MD, USA) was used to determine HIV status on discordant results and confirm the status of newly identified seroconverters [17,18]. HIV test results are provided to study participants, on request, by trained counsellors who are stationed in the study area [19]. Apart from the counsellors and the programme statisticians based in Entebbe, all field survey and research staff remain blind to the HIV status of study participants.

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Statistical methods

For each annual survey round, age- and sex-specific prevalence rates were derived from the numbers of adults testing HIV positive and negative at that round. All adults identified as HIV negative at a given survey round who had a further definitive HIV test result at one or more subsequent rounds were eligible for inclusion in the incidence analyses. Person-years (PY) at risk for incidence commenced at the date when an HIV-negative individual first gave a blood sample and ceased at the date of their last blood sample, or, for seroconverters, their estimated date of seroconversion. Dates of seroconversion were estimated as midway between the date of the last negative and the first positive HIV test result. For mortality, PY commenced from the date a blood sample was first given with a definitive seropositive status and ceased at the date of the round 8 census, date of death or date of leaving. For adults who were recorded as having left and died, PY ceased at the date of death. Seroconverters contributed PY for mortality as HIV-negative individuals until their estimated date of seroconversion, after which they contributed PY as HIV positive.

Approximate 95% confidence intervals (CI) for rates were estimated using the Gaussian approximation to the log-likelihood; tests of statistical significance for differences in rates were based on the chi-squared distribution [20]. Death rates were standardized for age using the direct method with the total population as standard [20]. Approximate one degree of freedom chi-square (χ) tests for trend across year of follow-up in age-adjusted mortality rates were based on likelihood ratio test statistics derived from Poisson regression models using four age groups (13–34, 35–44, 45–54, 55+). Statistical analyses were performed using the STATA computer package, using standard programs for the analysis of cohort studies where appropriate [21].

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Results

Prevalence

An average of 5500 adults were within the census as resident at each of the eight survey rounds. Approximately 65% gave a blood sample at each round with overall compliance ranging from 74% at round 1 to 56% at round 4. Over 90% of adults gave a blood sample at one or more rounds. Table 1 shows the age-specific HIV prevalence rates by annual survey round and sex. Overall HIV-1 prevalence in all adults declined from 8.2% (95% CI 7.3–9.0) in 1989–1990 to 6.9% (95% CI 6.1–7.7) in 1996–1997 (test for trend:P = 0.008) The respective overall decline among adult males was from 7.5 to 6.3% and this was of borderline significance (test for trend:P = 0.05) whereas that among females was from 8.7 to 7.5%, which was not significant (test for trend:P = 0.09). The age-specific decline was most evident among men aged 20–24, from 11.7 to 3.6% (test for trend, P < 0.001), and among women aged 13–19 and 20–24, from 4.4 to 1.4% (test for trend:P = 0.003) and from 20.9 to 13.8% (test for trend:P = 0.003), respectively. Prevalence however increased significantly among women aged 25–34 years from 13.1% to 16.6% (test for trend:P = 0.04). The median age among infected males was 32 years in 1989–1990 and 33 years in 1996–1997 (P = 0.08, Wilcoxon Rank test for trend). The corresponding median ages for females were 25 and 28 years, respectively (P = 0.03).

Table 1
Table 1
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Incidence

A total of 156 HIV-1 incident cases (74 males and 82 females) were identified during 23 578 PY of follow-up. The overall incidence declined from 7.7/1000 PY (95% CI 4.9–12.2) in 1990 to 4.6/1000 PY (95% CI 2.8–7.6) in 1996, but this trend was not significant (test for trend:P = 0.2). The incidence among all males declined from 8.9/1000 PY (95% CI 4.8–16.6) to 5.6/1000 PY (95% CI 2.9–10.7) and among females from 6.6/1000 PY (95% CI 3.3–13.2) to 3.6/1000 PY (95% CI 1.6–8.0). Shown in Table 2 are the age-specific HIV incidence trends by calendar year; neither these nor the overall declines were statistically significant (P > 0.2). However among women aged 13–34 years, incidence peaked at 17.6/1000 PY (95% CI 11.3–27.2) in 1993 and then fell in subsequent years (χ2 = 21.3; degrees of freedom 6;P for unequal rates 0.002). The age–sex distribution of those contributing to incidence analyses remained stable over the study period.

Table 2
Table 2
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Mortality

A total of 574 deaths were observed in adults with a definitive seropositive status: 296 deaths occurred during 29 150 PY for HIV-negative individuals (rate 10.2/1000 PY; 95% CI 9.1–11.4) and 279 occurred during 2075 PY for HIV-positive individuals (rate 134.0/1000 PY; 95% CI 119.1–150.7). The age-standardized death rate was 6.5/1000 PY (95% CI 3.6–9.4) for HIV-negative adults in 1990 and 8.2/1000 PY (95% CI 5.6–10.9) in 1996. Corresponding rates for HIV-positive adults were 129.7/1000 PY (95% CI 72.6–186.9) in 1990 and 102.7/1000 PY (95% CI 60.7–144.8) in 1996. There were no statistically significant trends in age-adjusted death rates when analysed by single year of follow-up (Table 3) for either HIV-negative (test for trend:P = 0.4) or HIV-positive adults (test for trend:P = 0.9). Similarly there was no significant trend in overall age-adjusted death rate for HIV-positive and HIV-negative individuals combined (test for trend:P = 0.8) nor for age-specific death rates (test for trend:P > 0.1).

Table 3
Table 3
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Trends in sexual behaviour

At round 4, 59% (1709/2886) females and 48% (1367/2858) males within the census had information on sexual behaviour, the corresponding proportions at round 8 were 59% (1668/2816) and 57% (1541/2720). This is slightly lower than the proportions giving a blood sample at each round as some individuals preferred providing only a blood sample and not to be subjected to responding to the sexual behaviour questionnaire.

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Age at first sex

Among young men aged 13–19 years, there was a trend towards an increase in reported age of first sex (Fig. 1). At round 4, the median age at first sex was 17.5 years, while at round 8 it was 18.2 years (test for trend:P = 0.002). There was no equivalent delay in young women, the median age at first sex being 16.7 years at both rounds (test for trend:P = 0.2).

Fig. 1
Fig. 1
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Age at first marriage

There was a decrease in annual age-specific prevalence of being married for young women aged 13–19 (test for trend:P < 0.001). This was particularly evident between the ages of 16 and 19 (Fig. 1 shows data for rounds 4 and 8 as examples). At round 4, the median age at marriage was 18.5 years, while by round 8 this had increased to 19.5 years. There was no equivalent increase in age at first marriage for men (test for trend:P = 0.8). The median age at marriage at both survey rounds was 24 years for men.

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Fertility rates

The fertility rate for all women aged 15 years or over fell significantly from 231.7/1000 women-years (WY) in the first year of follow-up to 188.0 in the sixth year of follow-up (test for trend:P < 0.001), (Fig. 2). A substantial proportion of this fall can be attributed to a reduction in the fertility rate of teenage women (15–19 years). In the first year of follow-up their fertility rate was 205.2/1000 WY and by the sixth year was 138.7/1000 WY (test for trend:P = 0.001). The unmarried teenage pregnancy rate halved over this period from 119.9 to 57.9/1000 WY (test for trend:P < 0.001).

Fig. 2
Fig. 2
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Number of recent sexual partners

The distribution of reports from males of numbers of sexual partners in the past 4 weeks altered significantly between rounds 4 and 8 (P < 0.001). The proportion of men with two or more sexual partners in this period rose from 10 to 14%. There were also significant changes for single men and married men and for males in age groups 25–34 and 45+ (Table 4). For women, there were no significant changes overall nor for any age group. There was, however, a significant change among married women, where the number reporting no sexual partner decreased from 20 to 14% (P = 0.008).

Table 4
Table 4
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Condom use

The rate of reported condom use increased very significantly between survey round 4 and survey round 8 for males of all age groups (Fig. 3). The overall prevalence of males who had ever used condoms increased from 12 to 35% in this 4-year period (test for trend:P < 0.001). Analysis by marital status showed significant increases in reported use for single, married and divorced or widowed men (data not shown). There were similar increases for females, rising overall from 4 to 12% (test for trend:P < 0.001), with significant increases in all age groups under 35 years (Fig. 3) and also for all marital groups (data not shown).

Fig. 3
Fig. 3
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In contrast, reported condom use with the last partner did not alter substantially over this period (51% at round 4 and 43% at round 8 for men and 47% and 36%, respectively, for women). None of the differences was statistically significant, but this analysis was restricted to those who reported having ever used a condom (94 men and 43 women at round 4; 365 men and 154 women at round 8). However, condom usage rates were high at round 8 among those reporting a casual partner in the past 12 months (only 175 men and 23 women). Overall, 60% of men and 39% of women reported using a condom with their most recent casual partner. There were no equivalent data collected at round 4.

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Discussion

A desirable approach for monitoring HIV-1 epidemic trends is to determine prevalence and incidence levels in a longitudinal cohort, of which incidence is the most appropriate. However, available data on trends have been generally limited to HIV prevalence from sentinel surveillance, which on their own are subject to limitations. We have been able to use information from this longitudinal cohort study in a rural area of Uganda to investigate the trends over 7 years of epidemiological parameters of HIV incidence, prevalence and mortality with linked information on aspects of sexual behaviour. This cohort study has shown a significant reduction in overall adult HIV seroprevalence over the study period, from 8.2 to 6.9%, which is an approximate 15% reduction. This has been mainly a result of larger falls in seroprevalence in young men and women, where the declines have been strongly statistically significant. However older women aged 25–34 years do not appear to be benefiting from the declining rates seen in younger women. This is largely a cohort effect of women aged 20–24 years moving into this age group. There have been no similar reductions in either HIV seroincidence or mortality in this population. However, this may be because even with a cohort of this size we are not yet able to detect any trend. We have found considerable heterogeneity in the HIV seroincidence and mortality rates over the years, such that even the documented 40% fall in seroincidence between the first and the sixth year of follow-up does not produce a statistically significant trend.

There is also some evidence of sexual behaviour change over this period. The reported rates of ever using condoms have increased substantially, but we do not know if this reflects consistent condom use. We have found a trend towards marriage at a later age for girls and towards a later age at sexual debut for boys. Fertility rates have fallen generally in the study area, and this is particularly evident for teenagers, especially unmarried teenagers. In contrast, we found no evidence of a reduction in numbers of recent sexual partners; indeed, there may even have been a small increase. Taken together, these are generally favourable trends in reported sexual behaviour and are consistent with the epidemiological information. Secular trends such as contraception and polygamy do not seem to explain these trends. For example, we have found that only 3% of women were reported to use modern contraceptives at round 8 survey and that the rate of married adults in polygamous marriages did not greatly change: 12% at round 1 and 14% at round 8.

These findings support and extend previous reports from Uganda. We have previously shown a significant reduction in HIV seroprevalence in young men and women in this same rural cohort [11] and a significant fall in overall adult seroprevalence has been reported from the neighbouring Rakai district over a 2-year period [9]. Surveillance data based on repeated cross-sectional surveys from urban antenatal clinics have reported a reduction in HIV seroprevalence in young pregnant women and the same research group has also found evidence suggestive of change in sexual behaviour among young urban adults [2]. Similar prevalence trends and corresponding reductions in risk behaviour have also been observed with other antenatal sentinel surveillance data in western Uganda, particularly in the 15–19 year age group [22].

The issue of whether falling HIV seroprevalence in young adults can confidently be taken to indicate that seroincidence is also falling remains unresolved. Wawer et al.[23] and Nunn et al.[24] have both shown empirical data where HIV seroprevalence has fallen in young adults but seroincidence has remained stable or even risen. It is clear that the population seroprevalence depends upon the balance of incidence, mortality, migration and coverage; however, the power of these studies to detect any trend in seroincidence, especially for age- and sex-specific rates, is marginal. A significant reduction in HIV seroincidence would provide the clearest indication of the epidemic trends.

It is important that the information about sexual behaviour is not overinterpreted. The complexity and sensitivity of sexual behaviour means that this topic does not lend itself well to relatively superficial epidemiological surveys, which should be complemented by more in-depth qualitative methods in order to test the reliability of the data. In addition, for some of the reported trends, the numbers of subjects involved were small and, therefore, our estimates have wide margins of confidence. We also lack important pieces of behavioural information, for example the relationship with the last sexual partner and the consistency of condom use. It is also possible that respondents’ perceptions of acceptable and desirable answers to standardized questions have changed over the study period as societal norms have adjusted to the realities of the era of the AIDS epidemic.

The average coverage rate of the annual surveys was 65%. This could potentially lead to bias if HIV-infected individuals systematically increased or decreased their involvement in the surveys over time. In fact there are very few long-term resident non-compliers, and we find that the majority of non-compliers at any one survey round are likely have participated in either the previous or subsequent surveys. In addition, our data collection methods have generally improved over the study period and this may also have affected our reported rates. For example, census information about births and deaths has improved over the years as we have added questions about whether emigrants are known to have died or not, and by the addition from the third annual survey onwards of a supplementary system of local birth and death recorders. Migration is a well-recognized factor in the HIV epidemic and is likely to introduce bias into results from studies such as these. We have looked at the effect of both out and in migration on HIV prevalence in the cohort and found excess infection rate among adults who join (16.3%) compared with those who leave (11.5%) the study area [25]. Therefore, any migration effect would not explain the observed decline in prevalence.

Despite these limitations, this study provides the strongest evidence to-date from Uganda of an overall long-term reduction in seroprevalence of HIV in adults and parallel evidence of sexual behaviour change. It is important to appreciate that no particular HIV interventions are carried out in this study area. Condoms were distributed through the counselling offices and field survey teams and later during the study period through social marketing of condoms. HIV testing and counselling facilities are available and the population is exposed to national health education messages in addition through village-based meetings and visits to schools. While these activities may have been at a somewhat higher intensity in the study area, this is fairly typical of most rural Ugandan populations and these encouraging trends are, therefore, likely to be generalized to the wider population. We plan to continue to monitor the population in order to detect any emerging trends in HIV seroincidence and mortality. These findings should provide other countries in sub-Saharan Africa and elsewhere with hope that HIV epidemic trends can be reversed. It is encouraging that policy-makers from other developing countries are visiting Uganda to view what can be achieved with modest resources through a national AIDS control programme. However, the burden of HIV-associated morbidity and mortality remains unacceptably high in this population, as in many similar populations in Uganda and elsewhere. Monitoring epidemic trends is not in itself sufficient; these findings should spur the scientific community to renewed efforts to mitigate the cataclysmic impact of HIV in sub-Saharan Africa.

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References

1. Sokal DC, Buzingo T, Nitunga N, Kadenda P, Standaert B. Geographic and temporal stability of HIV sero-prevalence among pregnant women in Bujumbura, Burundi. AIDS 1993, 7: 1481 –1484.

2. Asiimwe-Okiror G, Opio A, Musinguzi J, Madraa E, Tembo G, Carael M. Change in sexual behaviour and decline in HIV infection among young pregnant women in urban Uganda. AIDS 1997, 11: 1757 –1763.

3. Kigadye R-M, Klokke, Klokke, Nicoll A. et al. Sentinel surveillance for HIV-1 among pregnant women in a developing country: 3 years’ experience and comparison with a population serosurvey. AIDS 1993, 7: 849 –855.

4. Magazani K, Laleman G, Perriens JH. et al. Low and stable HIV sero-prevalence in pregnant women in Shaba Province, Zaire. J Acquir Immune Defic Syndr 1993, 6: 419 –423.

5. Laga M, Alary M, Nzila N. et al. Condom promotion, sexually transmitted diseases treatment, and declining incidence of HIV-1 infection in female Zairian sex workers. Lancet 1994, 344: 246 –248.

6. Tarantola D, Schwartlander B. HIV/AIDS epidemics in sub-Saharan Africa: dynamism, diversity and discrete declines? AIDS 1997, 11 (Suppl B): S5 –S21.

7. Carpenter LM, Nakiyingi JN, Ruberantwari A, Malamba SS, Kamali A, Whitworth JAG. Estimates of the impact of HIV infection on fertility in a rural Ugandan population cohort. Health Transit Rev 1997, 7 (Suppl 2): 113 –126.

8. Gray RH, Wawer MJ, Serwadda D. et al. Population-based study of fertility in women with HIV-infection in Uganda. Lancet 1998, 351: 98 –103.

9. Wawer M, Serwadda D, Gray R. et al. Trends in HIV-1 prevalence may not reflect trends in incidence in mature epidemics: data from the Rakai population-based cohort, Uganda. AIDS 1997, 11: 1023 –1030.

10. Delaporte E, Janssens W, Peeters M. et al. Epidemiological and molecular characteristics of HIV infection in Gabon, 1986–1994. AIDS 1996, 10: 903 –910.

11. Mulder D, Nunn A, Kamali A, Kengeya-Kayondo J. Decreasing HIV-1 sero-prevalence in young adults in a rural Ugandan cohort. BMJ 1995, 311: 833 –836.

12. Fylkesnes K, Ndhlovu Z, Kasumba K, Musonda MR, Sichome M. Studying dynamics of the HIV epidemic: population-based data compared with sentinel surveillance in Zambia. AIDS 1998, 12: 1227 –1234.

13. Fontanet AL, Messele T, Dejene A. et al. Age- and sex-specific HIV-1 prevalence in the urban community setting of Addis Ababa, Ethiopia. AIDS 1998, 12: 315 –322.

14. UNAIDS Case Study. A Measure of Success in Uganda. The Value of Monitoring both HIV Prevalence and Sexual Behaviour. Geneva: UNAIDS; May 1998. UNAIDS Best Practice Collection–UNAIDS/98.8. Geneva, Joint United Nations Programme on HIV/AIDS.

15. Ng'weshemi JZL, Burma JT, Pool R. et al. Changes in male sexual behaviour in response to the AIDS epidemic: evidence from a cohort study in urban Tanzania. AIDS 1996, 10: 1415 –1420.

16. Mulder DW, Nunn AJ, Wagner H-U, Kamali A, Kengeya-Kayondo JF. HIV-1 incidence and HIV-1 associated mortality in a rural Ugandan population cohort. AIDS 1994, 8: 87 –92.

17. Nunn AJ, Biryahwaho B, Downing RG, van der Groen G, Ojwiya A, Mulder DW. Algorithm for detecting antibodies to HIV-1: results from a rural Ugandan cohort. AIDS 1993, 7: 1057 –1061.

18. Nunn AJ, Biryahwaho B, Downing RG, Ojwiya A, Mulder DW. Computer-assisted quality assurance in an HIV serology laboratory. Meth. Inform. Med. 1994, 33:2: 170 –173.

19. Seeley JA, Wagner H-U, Mulemwa J, Kengeya-Kayondo JF, Mulder DW. The development of a community based HIV/AIDS counselling service in a rural area in Uganda. AIDS Care 1991, 3: 207 –217.

20. Clayton D, Hills M. Analysis of follow-up studies Stata Tech Bull 1995, 27: 19 –26.

21. Clayton D, Hills M. Statistical Models in Epidemiology. New York: Oxford University Press; 1995.

22. Kilian AHD, Gregson S, Ndyanabangi B. et al. Reductions in risk behaviour provide the most consistent explanation for declining HIV-1 prevalence in Uganda. AIDS 1999, 13: 391 –398.

23. Wawer MJ, Serwadda D, Gray RH. et al. Trends in HIV-1 prevalence may not reflect trends in incidence in mature epidemics: data from the Rakai population-based cohort, Uganda. AIDS 1997, 11: 1023 –1030.

24. Nunn AJ, Mulder DW, Kamali A, Kengeya-Kayondo JF, Whitworth JAG. HIV-1 incidence in sub-Saharan Africa. Lancet 1996, 348: 965 –966.

25. Nunn AJ, Wagner HU, Kamali A, Kengeya-Kayondo JF, Mulder DW. Migration and HIV-1 seroprevalence in a rural Ugandan population. AIDS 1995, 9: 503 –506.

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Senkaali, D; Muwonge, R; Morgan, D; Yirrell, D; Whitworth, J; Kaleebu, P
AIDS Research and Human Retroviruses, 20(9): 932-937.

AIDS Research and Human Retroviruses
Tat-specific binding IgG and disease progression in HIV type 1-infected Ugandans
Senkaali, D; Kebba, A; Shafer, LA; Campbell, GR; Loret, EP; Van Der Paal, L; Grosskurth, H; Yirrell, D; Kaleebu, P
AIDS Research and Human Retroviruses, 24(4): 587-594.
10.1089/aid.2007.0171
CrossRef
Sexually Transmitted Infections
Trends in age at first sex in Uganda: evidence from Demographic and Health Survey data and longitudinal cohorts in Masaka and Rakai
Slaymaker, E; Bwanika, JB; Kasamba, I; Lutalo, T; Maher, D; Todd, J
Sexually Transmitted Infections, 85(): I12-I19.
10.1136/sti.2008.034009
CrossRef
Bulletin of the World Health Organization
Community-based trials of sexually transmitted disease treatment: repercussions for epidemiology and HIV prevention
Hudson, CP
Bulletin of the World Health Organization, 79(1): 48-58.

International Journal of Epidemiology
Generalizability of population-based studies on AIDS: a comparison of newly and continuously surveyed villages in rural southwest Uganda
Mbulaiteye, SM; Mahe, C; Ruberantwari, A; Whitworth, JAG
International Journal of Epidemiology, 31(5): 961-967.

Bmc Public Health
Associations between sexual behaviour change in young people and decline in HIV prevalence in Zambia
Sandoy, IF; Michelo, C; Siziya, S; Fylkesnes, K
Bmc Public Health, 7(): -.
ARTN 60
CrossRef
AIDS
HIV prevalence and incidence are no longer falling in southwest Uganda: evidence from a rural population cohort 1989-2005
Shafer, LA; Biraro, S; Nakiyingi-Miiro, J; Kamali, A; Ssematimba, D; Ouma, J; Ojwiya, A; Hughes, P; Van der Paal, L; Whitworth, J; Opio, A; Grosskurth, H
AIDS, 22(): 1641-1649.

AIDS and Behavior
Association Between Knowing Someone Who Died of AIDS and Behavior Change Among South African Youth
Palekar, R; Pettifor, A; Behets, F; MacPhail, C
AIDS and Behavior, 12(6): 903-912.
10.1007/s10461-007-9325-5
CrossRef
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv
Trends in primary and secondary abstinence among Kenyan youth
Chiao, C; Mishra, V
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv, 21(7): 881-892.
10.1080/09540120802537856
CrossRef
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv
Condom awareness and intended use: gender and religious contrasts among school pupils in rural Masaka, Uganda
Kinsman, J; Nakiyingi, J; Kamali, A; Whitworth, J
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv, 13(2): 215-220.

International Journal of Cancer
A case-control study of human immunodeficiency virus infection and cancer in adults and children residing in Kampala, Uganda
Newton, R; Ziegler, J; Beral, V; Mbidde, E; Carpenter, L; Wabinga, H; Mbulaiteye, S; Appleby, P; Reeves, G; Jaffe, H
International Journal of Cancer, 92(5): 622-627.

AIDS
The impact of HIV/AIDS on mortality and household mobility in rural Tanzania
Urassa, M; Boerma, JT; Isingo, R; Ngalula, J; Ng'weshemi, J; Mwaluko, G; Zaba, B
AIDS, 15(): 2017-2023.

Sexually Transmitted Infections
Comparison of STD prevalences in the Mwanza, Rakai, and Masaka trial populations: the role of selection bias and diagnostic errors
Orroth, KK; Korenromp, EL; White, RG; Changalucha, J; de Vlas, SJ; Gray, RH; Hughes, P; Kamali, A; Ojwiya, A; Serwadda, D; Wawer, MJ; Hayes, RJ; Grosskurth, H
Sexually Transmitted Infections, 79(2): 98-105.

Sexually Transmitted Infections
Monitoring sexual behaviour in general populations: a synthesis of lessons of the past decade
Cleland, J; Boerma, JT; Carael, M; Weir, SS
Sexually Transmitted Infections, 80(): 1-7.
10.1136/sti.2004.013151
CrossRef
AIDS Research and Human Retroviruses
Lack of a Decline in HIV Incidence in a Rural Community with High HIV Prevalence in South Africa, 2003-2007
Barnighausen, T; Tanser, F; Newell, ML
AIDS Research and Human Retroviruses, 25(4): 405-409.
10.1089/aid.2008.0211
CrossRef
Sexually Transmitted Infections
Reported number of sexual partners: comparison of data from four African longitudinal studies
Todd, J; Cremin, I; McGrath, N; Bwanika, JB; Wringe, A; Marston, M; Kasamba, I; Mushati, P; Lutalo, T; Hosegood, V; Zaba, B
Sexually Transmitted Infections, 85(): I72-I80.
10.1136/sti.2008.033985
CrossRef
Lancet
Declining HIV-1 incidence and associated prevalence over 10 years in a rural population in south-west Uganda: a cohort study
Mbulaiteye, SM; Mahe, C; Whitworth, JAG; Ruberantwari, A; Nakiyingi, JS; Ojwiya, A; Kamali, A
Lancet, 360(): 41-46.

Journal of Infection
Diarrhoea, CD4 counts and enteric infections in a community-based cohort of HIV-infected adults in Uganda
Brink, AK; Mahe, C; Watera, C; Lugada, E; Gilks, C; Whitworth, J; French, N
Journal of Infection, 45(2): 99-106.
10.1053/jinf.2002.1002
CrossRef
AIDS
HIV dynamics and behaviour change as determinants of the impact of sexually transmitted disease treatment on HIV transmission in the context of the Rakai trial
Korenromp, EL; Bakker, R; de Vlas, SJ; Gray, RH; Wawer, MJ; Serwadda, D; Sewankambo, NK; Habbema, JDF
AIDS, 16(): 2209-2218.

International Journal of Epidemiology
Trends in antenatal human immunodeficiency virus prevalence in Western Kenya and Eastern Uganda: evidence of differences in health policies?
Moore, DM; Hogg, RS
International Journal of Epidemiology, 33(3): 542-548.
10.1093/ije/dyh127
CrossRef
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv
Factors associated with self-reported HIV testing among men in Uganda
Gage, AJ; Ali, D
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv, 17(2): 153-165.
10.1080/09540120512331325635
CrossRef
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv
Reduction in risk-taking behaviors among MSM in Senegal between 2004 and 2007 and prevalence of HIV and other STIs. ELIHoS Project, ANRS 12139
Wade, AS; Larmarange, J; Diop, AK; Diop, O; Gueye, K; Marra, A; Sene, A; Enel, C; Diallo, PN; Kane, NCT; Mboup, S; Desgrees-Du-Lou, A
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv, 22(4): 409-414.
10.1080/09540120903253973
CrossRef
Scandinavian Journal of Public Health
Understanding young men's sexual health and prospects for sexual behaviour change in rural Zambia
Ndubani, P; Bond, V; Liljestrom, R; Hojer, B
Scandinavian Journal of Public Health, 31(4): 291-296.
10.1080/14034940210164975
CrossRef
Demographic Research
Fertility decline in North-Central Namibia: an assessment of fertility in the period 1960-2000 based on parish registers
Shemeikka, R; Notkola, V; Siiskonen, H
Demographic Research, 13(): 83-116.
UNSP 4
CrossRef
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv
Understanding sexual behaviour change in rural southwest Uganda: A multi-method study
Pool, R; Kamali, A; Whitworth, JAG
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv, 18(5): 479-488.
10.1080/09540120500221639
CrossRef
American Journal of Public Health
The political economy of marriage and HIV: The ABC approach, "safe" infidelity, and managing moral risk in Uganda
Parikh, SA
American Journal of Public Health, 97(7): 1198-1208.
10.2105/AJPH.2006.088682
CrossRef
Sexually Transmitted Infections
Trends in marriage and time spent single in sub-Saharan Africa: a comparative analysis of six population-based cohort studies and nine Demographic and Health Surveys
Marston, M; Slaymaker, E; Cremin, I; Floyd, S; McGrath, N; Kasamba, I; Lutalo, T; Nyirenda, M; Ndyanabo, A; Mupambireyi, Z; Zaba, B
Sexually Transmitted Infections, 85(): I64-I71.
10.1136/sti.2008.034249
CrossRef
International Journal of Epidemiology
Human immunodeficiency virus type 1 Western blot: revised diagnostic criteria with fewer indeterminate results for epidemiological studies in Africa
Mahe, C; Kaleebu, P; Ojwiya, A; Whitworth, JAG
International Journal of Epidemiology, 31(5): 985-990.

Journal of Community Health
HIV prevention in Africa: Programs and populations served by non-governmental organizations
Benotsch, EG; Stevenson, LY; Sitzler, CA; Kelly, JA; Makhaye, G; Mathey, ED; Somlai, AM; Brown, KD; Amirkhanian, Y; Fernandez, MI; Opgenorth, KM
Journal of Community Health, 29(4): 319-336.

Journal of Infectious Diseases
Determinants of the impact of sexually transmitted infection treatment on prevention of HIV infection: A synthesis of evidence from the Mwanza, Rakai, and Masaka intervention trials
Korenromp, EL; White, RG; Orroth, KK; Bakker, R; Kamali, A; Serwadda, D; Gray, RH; Grosskurth, H; Habbema, JDF; Hayes, RJ
Journal of Infectious Diseases, 191(): S168-S178.

Social Science & Medicine
Sex in Geneva, sex in Lilongwe, and sex in Balaka
Tawfik, L; Watkins, SC
Social Science & Medicine, 64(5): 1090-1101.
10.1016/j.socscimed.2006.10.002
CrossRef
Bmc Public Health
Population and antenatal-based HIV prevalence estimates in a high contracepting female population in rural South Africa
Rice, BD; Batzing-Feigenbaum, J; Hosegood, V; Tanser, F; Hill, C; Barnighausen, T; Herbst, K; Welz, T; Newell, ML
Bmc Public Health, 7(): -.
ARTN 160
CrossRef
AIDS
Explaining continued high HIV prevalence in South Africa: socioeconomic factors, HIV incidence and sexual behaviour change among a rural cohort, 2001-2004
Hargreaves, JR; Bonell, CP; Morison, LA; Kim, JC; Phetla, G; Portera, JDH; Watts, C; Pronyk, PA
AIDS, 21(): S39-S48.

AIDS
Higher risk behaviour and rates of sexually transmitted diseases in Mwanza compared to Uganda may help explain HIV prevention trial outcomes
Orroth, KK; Korenromp, EL; White, RG; Gavyole, A; Gray, RH; Muhangi, L; Sewankambo, NK; Quigley, M; Wawer, MJ; Whitworth, JAG; Grosskurth, H; Habbema, JDF; Hayes, RJ
AIDS, 17(): 2653-2660.
10.1097/01.aids.0000096900.73209.77
CrossRef
Social Science & Medicine
Social, cultural and sexual behavioral determinants of observed decline in HIV infection trends: lessons from the Kagera Region, Tanzania
Lugalla, J; Emmelin, M; Mutembei, A; Sima, M; Kwesigabo, G; Killewo, J; Dahlgren, L
Social Science & Medicine, 59(1): 185-198.
10.1016/j.socscimed.2003.10.033
CrossRef
Culture Health & Sexuality
Delaying sexual debut amongst out-of-school youth in rural southwest Uganda
Nobelius, AM; Kalina, B; Pool, R; Whitworth, J; Chesters, J; Power, R
Culture Health & Sexuality, 12(6): 663-676.
10.1080/13691051003768132
CrossRef
Sexually Transmitted Infections
The effect of HIV, behavioural change, and STD syndromic management on STD epidemiology in sub-Saharan Africa: simulations of Uganda
Korenromp, EL; Bakker, R; Gray, R; Wawer, MJ; Serwadda, D; Habbema, JDF
Sexually Transmitted Infections, 78(): I55-I63.

Ethiopian Medical Journal
Evidence of changes in sexual behaviours among male factory workers in Ethiopia
Mekonnen, Y; Sanders, E; Aklilu, M; Tsegaye, A; de Wit, TFR; Schaap, A; Wolday, D; Geskus, R; Coutinho, RA; Fontanet, AL
Ethiopian Medical Journal, 41(): 51-59.

Methods of Information in Medicine
HIV/AIDS health literacy in Zimbabwe - Focus group findings from university students
Terry, PE; Masvaure, TB; Gavin, L
Methods of Information in Medicine, 44(2): 288-292.

International Journal of Std & AIDS
Relative risk of HIV infection among young men and women in a South African township
MacPhail, C; Williams, BG; Campbell, C
International Journal of Std & AIDS, 13(5): 331-342.

Expert Opinion on Investigational Drugs
Potential benefit and limitations of a broad access to potent antiretroviral therapy in developing countries
Kaufmann, GR; Smith, D; Bucher, HC; Phanuphak, P; Sendi, PP; Mbidde, EK; Cooper, DA; Battegay, M
Expert Opinion on Investigational Drugs, 11(9): 1303-1313.

Sexually Transmitted Infections
A critique of international indicators of sexual risk behaviour
Slaymaker, E
Sexually Transmitted Infections, 80(): 13-21.
10.1136/sti.2004.011635
CrossRef
Tropical Medicine & International Health
A community-based study to examine the effect of a youth HIV prevention intervention on young people aged 15-24 in South Africa: results of the baseline survey
Pettifor, AE; Kleinschmidt, I; Levin, J; Rees, HV; MacPhail, C; Madikizela-Hlongwa, L; Vermaak, K; Napier, G; Stevens, W; Padian, NS
Tropical Medicine & International Health, 10(): 971-980.
10.1111/j.1365-3156.2005.01483.x
CrossRef
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv
Immunisation coverage among children born to HIV-infected women in Rakai district, Uganda: effect of voluntary testing and counselling (VCT)
Mast, TC; Kigozi, G; Wabwire-Mangen, F; Sewankambo, N; Serwadda, D; Gray, R; Wawer, M; Black, R
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv, 18(7): 755-763.
10.1080/09540120500521053
CrossRef
Sexually Transmitted Infections
Is sexual risk taking behaviour changing in rural south-west Uganda? Behaviour trends in a rural population cohort 1993-2006
Biraro, S; Shafer, LA; Kleinschmidt, I; Wolff, B; Karabalinde, A; Nalwoga, A; Musinguzi, J; Kirungi, W; Opio, A; Whitworth, J; Grosskurth, H
Sexually Transmitted Infections, 85(): I3-I11.
10.1136/sti.2008.033928
CrossRef
Health Policy and Planning
Doubting the existence of AIDS: a barrier to voluntary HIV testing and counselling in urban Mali
Castle, S
Health Policy and Planning, 18(2): 146-155.
10.1093/heapol/czg019
CrossRef
National Medical Journal of India
The Ugandan response to HIV/AIDS: Some lessons for India
Mohammed, SK
National Medical Journal of India, 16(5): 262-269.

International Journal of Std & AIDS
Review of evidence from risk factor analyses associating HIV infection in African adults with medical injections and multiple sexual partners
Gisselquist, D; Potterat, JJ
International Journal of Std & AIDS, 15(4): 222-233.

Journal of Infectious Diseases
Advances in multilevel approaches to understanding the epidemiology and prevention of sexually transmitted infections and HIV: An overview
Aral, SO; Padian, NS; Holmes, KK
Journal of Infectious Diseases, 191(): S1-S6.

Tropical Medicine & International Health
Changing association between schooling levels and HIV-1 infection over 11 years in a rural population cohort in south-west Uganda
de Walque, D; Nakiyingi-Miiro, JS; Busingye, J; Whitworth, JA
Tropical Medicine & International Health, 10(): 993-1001.
10.1111/j.1365-3156.2005.01475.x
CrossRef
British Medical Journal
Progression to symptomatic disease in people infected with HIV-1 in rural Uganda: prospective cohort study
Morgan, D; Mahe, C; Mayanja, B; Whitworth, JAG
British Medical Journal, 324(): 193-196.

Journal of Biosocial Science
Cultural and social aspects of HIV/AIDS sex education in secondary schools in Nigeria
Oshi, DC; Nakalema, S; Oshi, LL
Journal of Biosocial Science, 37(2): 175-183.
10.1017/S0021932004006820
CrossRef
AIDS
Young people's sexual health in South Africa: HIV prevalence and sexual behaviors from a nationally representative household survey
Pettifor, AE; Rees, HV; Kleinschmidt, I; Steffenson, AE; MacPhail, C; Hlongwa-Madikizela, L; Vermaak, K; Padian, NS
AIDS, 19(): 1525-1534.

International Journal of Infectious Diseases
The role of in-migrants in the increasing rural HIV-1 epidemic: results from a village population survey in the Kilimanjaro region of Tanzania
Mmbaga, EJ; Leyna, GH; Hussain, A; Mnyika, KS; Sam, NE; Klepp, KI
International Journal of Infectious Diseases, 12(5): 519-525.
10.1016/j.ijid.2008.02.007
CrossRef
Journal of Eastern African Studies
"Balinsalamu embawo?" AIDS and the context of sexual behaviour adjustment in Rakai, Uganda, c. 1975-90
Kuhanen, J
Journal of Eastern African Studies, 4(1): 20-43.
10.1080/17531050903550108
CrossRef
Sexually Transmitted Infections
Surveys on sexual health: recent developments and future directions
Wellings, K; Cleland, J
Sexually Transmitted Infections, 77(4): 238-241.

Social Science & Medicine
Women who sell sex in a Ugandan trading town: life histories, survival strategies and risk
Gysels, M; Pool, R; Nnalusiba, B
Social Science & Medicine, 54(2): 179-192.

Proceedings of the National Academy of Sciences of the United States of America
Quantifying HIV-1 transmission due to contaminated injections
White, RG; Cooper, BS; Kedhar, A; Orroth, KK; Biraro, S; Baggaley, RF; Whitworth, J; Korenromp, EL; Ghani, A; Boily, MC; Hayes, RJ
Proceedings of the National Academy of Sciences of the United States of America, 104(): 9794-9799.
10.1073/pnas.0610435104
CrossRef
Plos Medicine
Estimating incidence from prevalence in generalised HIV epidemics: Methods and validation
Hallett, TB; Zaba, B; Todd, J; Lopman, B; Mwita, W; Biraro, S; Gregson, S; Boerma, JT
Plos Medicine, 5(4): 611-622.
ARTN e80
CrossRef
AIDS Patient Care and Stds
AIDS lessons from South Africa
Laurence, J
AIDS Patient Care and Stds, 14(6): 289-292.

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Harnessing the senga institution of adolescent sex education for the control of HIV and STDs in rural Uganda
Muyinda, H; Nakuya, J; Pool, R; Whitworth, J
AIDS Care-Psychological and Socio-Medical Aspects of AIDS/Hiv, 15(2): 159-167.
10.1080/0954012031000068308
CrossRef
Demography
HIV and population dynamics: A general model and maximum-likelihood standards for East Africa
Heuveline, P
Demography, 40(2): 217-245.

International Journal of Std & AIDS
HIV-1 subtype dynamics over 10 years in a rural Ugandan cohort
Yirrell, DL; Kaleebu, P; Morgan, D; Hutchinson, S; Whitworth, JA
International Journal of Std & AIDS, 15(2): 103-106.

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HIV incidence from the first population-based cohort study in India
Dandona, L; Kumar, GA; Lakshmi, V; Ahmed, GMM; Akbar, M; Ramgopal, P; Sudha, T; Alary, M; Dandona, R
Bmc Infectious Diseases, 13(): -.
ARTN 327
CrossRef
International Journal of Epidemiology
The general population cohort in rural south-western Uganda: a platform for communicable and non-communicable disease studies
Asiki, G; Murphy, G; Nakiyingi-Miiro, J; Seeley, J; Nsubuga, RN; Karabarinde, A; Waswa, L; Biraro, S; Kasamba, I; Pomilla, C; Maher, D; Young, EH; Kamali, A; Sandhu, MS
International Journal of Epidemiology, 42(1): 129-141.
10.1093/ije/dys234
CrossRef
Demographic Research
Estimates of age-specific reductions in HIV prevalence in Uganda: Bayesian melding estimation and probabilistic population forecast with an HIV-enabled cohort component projection model
Clark, SJ; Thomas, JR; Bao, L
Demographic Research, 27(): 743-774.
ARTN 26
CrossRef
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Keywords:

Uganda; time trends; HIV prevalence; HIV incidence; mortality; sexual behaviour

© 2000 Lippincott Williams & Wilkins, Inc.

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