Khangelani Zuma

The Impact of Migration on HIV-1 Transmission in South Africa: A Study of Migrant and Nonmigrant Men and Their Partners

Background To investigate the association between migration and HIV infection among migrant and nonmigrant men and their rural partners. Goal The goal was to determine risk factors for HIV-1 infection in South Africa. Study Design This was a cross-sectional study of 196 migrant men and 130 of their rural partners, as well as 64 nonmigrant men and 98 rural women whose partners are nonmigrant. Male migrants were recruited at work in two urban centers, 100 km and 700 km from their rural homes. Rural partners were traced and invited to participate. Nonmigrant couples were recruited for comparison. The study involved administration of a detailed questionnaire and blood collection for HIV testing. Results Testing showed that 25.9% of migrant men and 12.7% of nonmigrant men were infected with HIV (P = 0.029; odds ratio = 2.4; 95% CI = 1.1–5.3). In multivariate analysis, main risk factors for male HIV infection were being a migrant, ever having used a condom, and having lived in four or more places during a lifetime. Being the partner of a migrant was not a significant risk factor for HIV infection among women; significant risk factors were reporting more than one current regular partner, being younger than 35 years, and having STD symptoms during the previous 4 months. Conclusion Migration is an independent risk factor for HIV infection among men. Workplace interventions are urgently needed to prevent further infections. High rates of HIV were found among rural women, and the migration status of the regular partner was not a major risk factor for HIV. Rural women lack access to appropriate prevention interventions, regardless of their partners’ migration status.

Who Infects Whom? HIV-1 Concordance and Discordance Among Migrant and Non-Migrant Couples in South Africa

Objectives: To measure HIV-1 discordance among migrant and non-migrant men and their rural partners, and to estimate the relative risk of infection from inside versus outside primary relationships. Design: A cross-sectional behavioural and HIV-1 seroprevalence survey among 168 couples in which the male partner either a migrant, or not. Methods: A detailed questionnaire was administered and blood was collected for laboratory analysis. A mathematical model was developed to estimate the relative risk of infection from inside versus from outside regular relationships. Results: A total of 70% (117 of 168) of couples were negatively concordant for HIV, 9% (16 of 168) were positively concordant and 21% (35 of 168) were discordant. Migrant couples were more likely than non-migrant couples to have one or both partners infected [35 versus 19%; P = 0.026; odds ratio (OR) = 2.28] and to be HIV-1 discordant (27 versus 15%; P = 0.066; OR = 2.06). In 71.4% of discordant couples, the male was the infected partner; this did not differ by migration status. In the mathematical model, migrant men were 26 times more likely to be infected from outside their regular relationships than from inside [relative risk (RR) = 26.3; P = 0.000]; non-migrant men were 10 times more likely to be infected from outside their regular relationships than inside (RR = 10.5; P = 0.00003). Conclusions: Migration continues to play an important role in the spread of HIV-1 in South Africa. The direction of spread of the epidemic is not only from returning migrant men to their rural partners, but also from women to their migrant partners. Prevention efforts will need to target both migrant men and women who remain at home.

National HIV incidence measures - new insights into the South African epidemic

BACKGROUND AND OBJECTIVES Currently South Africa does not have national HIV incidence data based on laboratory testing of blood specimens. The 2005 South African national HIV household survey was analysed to generate national incidence estimates stratified by age, sex, race, province and locality type, to compare the HIV incidence and HIV prevalence profiles by sex, and to examine the relationship between HIV prevalence, HIV incidence and associated risk factors. METHOD The detection of recent infections was performed on confirmed HIV-positive samples, using the BED capture enzyme immunoassay optimised for dried blood spot (DBS) specimens. BED HIV incidence calculations applied adjustment procedures that were recently revised and approved by the Centers for Disease Control and Prevention for subtype C blood specimens. RESULTS HIV incidence in the study population aged 2 years and older was 1.4% per year, with 571,000 new HIV infections estimated for 2005. An HIV incidence rate of 2.4% was recorded for the age group 15-49 years. The incidence of HIV among females peaked in the 20-29-year age group at 5.6%, more than six times the incidence found in 20-29-year-old males (0.9%). Among youth aged 15-24 years, females account for 90% of the recent HIV infections. Non-condom use among youth, current pregnancy and widowhood were the socio-behavioural factors associated with the highest HIV incidence rates. CONCLUSIONS The HIV incidence estimates reflect the underlying transmission dynamics that are currently at work in South Africa. The findings suggest that the current prevention campaigns are not having the desired impact, particularly among young women.

Risk factors for HIV infection among women in Carletonville, South Africa: migration, demography and sexually transmitted diseases

We investigate the prevalence of, and risk factors for, HIV infection among women in an urban South African setting. A random sample of 834 women was recruited into a community-based cross-sectional study. HIV prevalence was 37.1% with higher prevalence among migrant women (46.0%) than non-migrant women (34.7%), (odds ratio [OR]=1.61, 95% confidence interval [CI]: 1.11-2.31). The highest HIV prevalence (50.9%) was between ages 26 and 35 years. Having two or more lifetime partners increased the risk of HIV infection (OR=4.88, 95% CI: 3.01-7.89). Migration, age, marital status, alcohol use, syphilis and gonorrhoea were independently associated with HIV infection. Migration increases the risk of HIV infection. Provision of services to treat sexually transmitted diseases and educational empowerment programmes that will promote safer sex among migrant women are urgently needed.

A decline in new HIV infections in South Africa: estimating HIV incidence from three national HIV surveys in 2002, 2005 and 2008.

Background Three national HIV household surveys were conducted in South Africa, in 2002, 2005 and 2008. A novelty of the 2008 survey was the addition of serological testing to ascertain antiretroviral treatment (ART) use. Methods and Principal Findings We used a validated mathematical method to estimate the rate of new HIV infections (HIV incidence) in South Africa using nationally representative HIV prevalence data collected in 2002, 2005 and 2008. The observed HIV prevalence levels in 2008 were adjusted for the effect of antiretroviral treatment on survival. The estimated “excess” HIV prevalence due to ART in 2008 was highest among women 25 years and older and among men 30 years and older. In the period 2002–2005, the HIV incidence rate among men and women aged 15–49 years was estimated to be 2.0 new infections each year per 100 susceptible individuals (/100pyar) (uncertainty range: 1.2–3.0/100pyar). The highest incidence rate was among 15–24 year-old women, at 5.5/100pyar (4.5–6.5). In the period 2005–2008, incidence among men and women aged 15–49 was estimated to be 1.3/100 (0.6–2.5/100pyar), although the change from 2002–2005 was not statistically significant. However, the incidence rate among young women aged 15–24 declined by 60% in the same period, to 2.2/100pyar, and this change was statistically significant. There is evidence from the surveys of significant increases in condom use and awareness of HIV status, especially among youth. Conclusions Our analysis demonstrates how serial measures of HIV prevalence obtained in population-based surveys can be used to estimate national HIV incidence rates. We also show the need to determine the impact of ART on observed HIV prevalence levels. The estimation of HIV incidence and ART exposure is crucial to disentangle the concurrent impact of prevention and treatment programs on HIV prevalence.

Epidemiology of health and vulnerability among children orphaned and made vulnerable by HIV / AIDS in sub-Saharan Africa.

Abstract The HIV/AIDS epidemic in sub-Saharan Africa has already orphaned a generation of children, and it is projected that by 2010, 18 million African children under the age of 18 are likely to be orphans from this single cause (UNICEF, 2005, The state of the Worlds Children: Childhood under threat. New York: UNICEF). Results from a Kellogg funded OVC project (Skinner et al., 2004, Definition of orphaned and vulnerable children. Cape Town: HSRC) supported the construct that the loss of either or both parents would indicate a situation of likely vulnerability of children. A key problem in the literature on the impact of orphanhood on the well-being of children, families and communities, is that the focus of assertions and predictions is often on the negative impact on ‘AIDS orphans’, or households. There are hardly any studies that compare the experiences of orphans with non-orphans. This paper thus attempts to fill that gap. It uses epidemiological data to explore the epidemiology of health and vulnerability of children within the context of AIDS in sub-Saharan Africa. Because of data limitations, only the following aspects are examined: (i) orphan status; (ii) household structure (in particular, grandparent headedness and female-headedness); (iii) illness of parents; (iv) poverty; and (v) access to services, especially schooling, health, social services. While recognizing the limitations of the analysis, data presented in this paper indicates that orphans in sub-Saharan Africa are more vulnerable than non-orphans. The authors conclude with some suggestions for policy makers and programme implementers, highlighting the importance of focusing on interventions that will have maximum impact on the health and well-being of children.

Gender and Poverty in South Africa in the Era of HIV/AIDS: A Quantitative Study

BACKGROUND Recent research identifies gender inequality as a driver of the HIV/AIDS epidemic. The feminization of poverty is also increasingly apparent, as is the disproportionate vulnerability of members of female-headed households. We sought to examine the relationships among sex, gender, age, HIV status, and socioeconomic characteristics, focusing on heads and nonheads of households. METHODS We interviewed 6,338 men and 10,057 women. RESULTS Significantly more males (51.4%) than females (34.8%) indicated that they were heads of households (p < 0.001). Female heads of households were significantly more likely to be infected with HIV than their male counterparts (17.9% vs. 13.1%). Among 15-24-year-old males, those who are often without cash are more likely to be infected with HIV than those who are never without cash (OR = 3.33, 95% CI 1.17-9.49). Similar results were observed among females, who sometimes had no cash (OR = 1.86, 95% CI 1.22-2.82), and among adults aged >or=25 years. Results confirmed that age and gender are related to HIV infection in South Africa and that poverty is a social determinant for HIV infection across all age groups. However, sex is a determinant only among the younger age groups. Young female heads of household are more likely to be poor and are more likely to be HIV positive. CONCLUSIONS The results indicate that the HIV/AIDS epidemic in South Africa is characterized by gender inequalities. Young women are more likely to be HIV infected, especially heads of households. Young women are also more likely to live in poverty, although this study cannot establish the directionality of a causative relationship between poverty and risk of HIV. Greater attention must be paid to young women, especially those who head households, in terms of treatment, prevention, and poverty alleviation.

Marital status and risk of HIV infection in South Africa

OBJECTIVE Available evidence on the relationship between marital status and HIV is contradictory. The objective of this study was to determine HIV prevalence among married people and to identify potential risk factors for HIV infection related to marital status in South Africa. METHODS A multistage probability sample involving 6 090 male and female respondents, aged 15 years or older was selected. The sample was representative of the South African population by age, race, province and type of living area, e.g. urban formal, urban informal, etc. Oral fluid specimens were collected to determine HIV status. A detailed questionnaire eliciting information on socio-demographic, sex behaviour and biomedical factors was administered through face-to-face interviews from May to September 2002. RESULTS HIV prevalence among married people was 10.5% compared with 15.7% among unmarried people (p-value < 0.001). The risk of HIV infection did not differ significantly between married and unmarried people (odds ratio (OR) = 0.85, 95% confidence interval (CI): 0.71 - 1.02) when age, sex, socio-economic status, race, type of locality, and diagnosis of a sexually transmitted infection (STI) were included in the logistical regression model. However, the risk of HIV infection remained significantly high among unmarried compared with married people when only sex behaviour factors were controlled for in the model (OR 0.55; 95% CI: 0.47 - 0.66). CONCLUSIONS The relationship between marital status and HIV is complex. The risk depends on various demographic factors and sex behaviour practices. Increased prevention strategies that take socio-cultural context into account are needed for married people.

Impact of on-site testing for maternal syphilis on treatment delays, treatment rates, and perinatal mortality in rural South Africa: a randomised controlled trial

Background: Syphilis remains a significant cause of preventable perinatal death in developing countries, with many women remaining untested and thus untreated. Syphilis testing in the clinic (on-site testing) may be a useful strategy to overcome this. We studied the impact of on-site syphilis testing on treatment delays and rates, and perinatal mortality. Methods: We conducted a cluster randomised controlled trial among seven pairs of primary healthcare clinics in rural South Africa, comparing on-site testing complemented by laboratory confirmation versus laboratory testing alone. Intervention clinics used the on-site test conducted by primary care nurses, with results and treatment available within an hour. Control clinics sent blood samples to the provincial laboratory, with results returned 2 weeks later. Results: Of 7134 women seeking antenatal care with available test results, 793 (11.1%) tested positive for syphilis. Women at intervention clinics completed treatment 16 days sooner on average (95% confidence interval: 11 to 21), though there was no significant difference in the proportion receiving adequate treatment at intervention (64%) and control (69%) clinics. There was also no significant difference in the proportion experiencing perinatal loss (3.3% v 5.1%; adjusted risk difference: −0.9%; 95% CI −4.4 to 2.7). Conclusions: Despite reducing treatment delays, the addition of on-site syphilis testing to existing laboratory testing services did not lead to higher treatment rates or reduce perinatal mortality. However on-site testing for syphilis may remain an important option for improving antenatal care in settings where laboratory facilities are not available.

Risk factors of sexually transmitted infections among migrant and non-migrant sexual partnerships from rural South Africa

In October 1998, cohorts of circular migrant men and their non-migrant sexual partners, and non-migrant men and their non-migrant sexual partners from rural South Africa were recruited and followed-up every 4 months until October 2001. At each visit, information on sociodemographic, sexual behaviour, sexually transmitted infections (STIs) and HIV was collected. In total, 553 individuals aged between 18 and 69 years were recruited. A man and his sexual partner(s) form a sexual partnership. Migration status, age, marital status, age at sexual debut, recent sexual partners and HIV status were found to be important determinants of STI. The risk of STI varies (sigma2 = 1.45, P < 0.001) significantly across sexual partnerships even after controlling for important determinants. The variance implies substantial correlation (0.59) between members of the same sexual partnership. Ignoring this correlation leads to incorrect inference. Migration contributes significantly to the spread of STIs. Community interventions of HIV/STI should target co-transmitter sexual partnerships rather than high-risk individuals.