Education has been suggested as a ‘social vaccine’ to prevent the spread of HIV. In sub-Saharan Africa, infection rates are lowest among children in primary school. These children represent a ‘window of hope’ for the future . If they can gain the skills and knowledge necessary to make healthy choices about their sexual behaviour, the potentially devastating effects of the pandemic on the next generation could be attenuated.
A focus on girls
There is a strong rationale for making girls a particular focus of such HIV prevention efforts. Biologically, socially, and culturally, girls are particularly vulnerable to HIV infection. For physiological reasons women are more likely to be infected with HIV from an infected male partner than are men who have sex with an infected female partner . In many of the hyperendemic countries social and cultural influences on girls' behaviour prevent them from making choices that could be protective: staying in school, buying condoms, or discussing safer sex measures with parents, teachers, or partners, for example. Girls are also more likely than boys to be sexually abused, and their first sexual encounters are often forced or violent . Even in schools, girls are targets of sexual harassment and abuse . Given the social and economic insecurity that many adolescent girls face, risky behaviour such as sex with an older partner may be a rational decision. In one study, girls who became pregnant by a man more than 10 years older were more likely to marry than if the father was less than 5 years older (79% versus 42%) . HIV cannot be tackled effectively unless boys' and men's behaviour changes along with girls'. Girls' vulnerabilities to infection, however, make it critical to focus on general or HIV/AIDS-specific educational programmes that may reduce their risk.
We examine the evidence on this issue in two sections. First, we look at the impact of increased schooling on HIV infection. Does reaching a higher level of education lead to a reduced risk of infection? Does attending school lead to a reduced risk of infection? We review studies addressing these two questions including a recent systematic review of evidence for a relationship between educational attainment and HIV . Second, we report findings from our own systematic review of studies of the effectiveness of school-based HIV prevention programmes. Third, we make a series of educational policy recommendations as well as suggestions for HIV/AIDS-specific curriculum development. This analysis furthers the discussion of HIV and education by combining the results of previous literature reviews and updating them with the results of recent randomized controlled trials and a discussion of possible mechanisms for the impact of schooling on vulnerability to HIV infection.
Section 1: the relationship between educational attainment and HIV infection
In this first section we examine the relationship between schooling and HIV infection. Here we are concerned with two distinct effects of formal schooling. The first involves the consequences of merely attending school, regardless of what is learned there. The second involves the consequences of higher levels of educational attainment. This latter effect concerns the general education resulting from formal schooling rather than specific HIV-prevention education programmes. Throughout the following discussion we aim to keep these two pathways, of school attendance and educational attainment, distinct because they are supported by different bodies of evidence and involve different causal mechanisms. A number of limitations are faced when investigating the connection between general education levels in a population and HIV infection. Studies that aim to answer this question are generally associational rather than causal as a result of the logistical and ethical concerns that would accompany a randomized controlled trial of education provision. We believe, however, that sufficient evidence exists to suggest patterns. We examine the evidence in three sections, moving up the chain of causality from education to HIV infection. First we look at education's influence on the determinants of sexual behaviour, then on sexual behaviour itself, and finally we assess whether education influences the risk of HIV infection.
Schooling and the determinants of sexual behaviour: a theoretical framework
Attending formal schools can lead to behaviour change in many ways. Here we identify three routes by which increased educational attainment may affect sexual behaviour: by changing the sociocognitive determinants of behaviour (knowledge, attitudes and perceived control), by influencing social networks, and by leading to a change in socioeconomic status. These mechanisms are illustrated in Fig. 1. We later discuss separately the ways in which school attendance alone can affect sexual behaviour.
Educational attainment and sociocognitive determinants of behaviour
In a direct way education may affect the thought processes of individuals, which subsequently affect their behaviour. Social cognition models point to several such key determinants of sexual behaviour. In most theories, knowledge and understanding of a behaviour and its consequences is a necessary but not sufficient condition for performing the behaviour and underpins the perception of  and attitudes towards  that behaviour. In the context of HIV, understanding transmission routes and methods of blocking them are essential for the adoption of safer sexual behaviour.
More educated people are more likely to be exposed to prevention information as part of formal schooling and also through the media . Greater levels of education may also provide a framework of biological knowledge and an understanding of causality into which HIV prevention messages can be assimilated. Education thus helps individuals understand the connection between a behaviour (e.g. unprotected sex) and its outcome (HIV infection). Social cognition models  also suggest that the evaluation of this outcome is important. Individuals must be sufficiently motivated to avoid HIV infection and pregnancy in order to avoid unprotected sex. Evidence suggests that attending school influences the evaluation of this outcome  (discussed below).
Another key theoretical determinant of behaviour is the perceived control one has over the behaviour. This includes self-efficacy, one's belief in one's capabilities to perform a specific action required to attain a desired outcome , the perceived personal power one has over the behaviour  and the actual personal power one has over a behaviour . Evidence suggests that education is associated with increased self-efficacy in general  and in the context of the HIV epidemic in sub-Saharan Africa in particular . In addition, more educated people are more likely to believe they have control over their own behaviour, rather than another individual or fate, and they are more likely to have actual control over their own behaviour. For example, educated women are more able and likely to negotiate safer sex [15–17], discuss family planning with their partner , and feel a sense of control in their sexual relationships .
Educational attainment and social/sexual networks
Increased education levels can also influence the kind of people one meets and the way they behave. The enhanced social status or wealth associated with increased education may lead to someone having different sexual networks. It may also influence the behaviour of other individuals in this network, perhaps increasing their willingness to become sexual partners or influencing their effectiveness in negotiation about sexual behaviour. The suggestion that more educated individuals have different sexual networks than poorly educated individuals has an implied impact on an individual's risk, which depends on the particular epidemiology of HIV in the individual's country and region. Assortative sexual mixing by education level is likely to reinforce the relationship between education and HIV, increasing the risk or bolstering the protection. It is difficult to discern whether education influences HIV risk in this way. The nature of this impact is likely to be long term and linked to social mobility. To our knowledge, little research has been done linking educational levels to sexual networks in sub-Saharan Africa; the hypothesis that education may act as an HIV prevention mechanism by sorting educated people into safer sexual networks deserves further enquiry.
Social networks are also important because of the power of the normative beliefs that are held by groups of people. These norms influence individuals' behaviour, especially for young people . In South Africa, social norms surrounding men's dominance over women in sexual relationships are prevalent, and these norms are problematic in terms of HIV prevention efforts . Social norms can influence protective behaviours as well as risk-taking behaviours. According to a study in Kenya ‘the probability that women will favor sexual faithfulness depends significantly on the number of network partners who also favor this method of protective behaviour’ . Social norms were a strong predictor of intention to use a condom in a South African study .
Social norms and education are interrelated in several ways. First, people of different educational levels may have different sets of social norms. Case studies in South Africa found separate social group identities for adolescents who had different types and levels of education, those who went to school outside of the community, those who went to local schools, and those who had dropped out of school . Second, in a reversal of the relationship, social norms may determine how interested an individual is in HIV/AIDS education. For university students in Ethiopia, the perception of social norms regarding HIV/AIDS was a significant predictor of the desire to learn about HIV/AIDS . Admittedly, social norms are difficult to alter through interventions; however, ‘once altered the new norms tend to be perpetuated’ .
In addition to the above mechanisms, education may also enhance the effectiveness of social support networks. One study in Manicaland, Zimbabwe, showed that more educated women are able to benefit more from other protective measures. This study looked at membership in social groups related to churches or political parties, among other organizations. Women who were members of a well-functioning social group were 1.3 times more likely to avoid HIV infection than those who were not in such groups or who were in groups with which they were dissatisfied. Women with secondary education were more likely to belong to such groups and among women with secondary education, those who were members of well-functioning groups were 1.5 times less likely to be infected with HIV, whereas women with no education received no such benefits from group membership . Membership of a social group may provide support to individuals in making protective decisions that are contrary to local social norms . Social networks may also be informal conduits of protective resources. For example, almost 50% of individuals obtaining condoms at 12 health clinics in South Africa had given condoms to or received them from others in the previous month. This percentage rose with education level .
Educational attainment and socioeconomic factors
Sexual behaviour is influenced directly by the higher socioeconomic status that can result from increased educational attainment. There are a number of mediating pathways involved in this relationship. We discussed two of these above: the increased psychological sense of control over sexual behaviour and the different sexual networks associated with people of higher socioeconomic status. In addition, sexual behaviour, particularly of men, is influenced by higher levels of disposable income, increased leisure time, and increased ability to travel and to use commercial sex partners [29–31]. Psychological factors, mobility and income all contribute to individuals having more choice and greater control over their sexual behaviour .
For women, one consequence of higher levels of education is that they start having sex later but delay marriage to an even greater extent. This leads to them being single and sexually active for a longer period of time and thus to having a greater number of sexual partners .
In this section we discuss mechanisms for changes in sexual behaviour that result merely from attending school. These mechanisms are distinct from the consequences of increased educational attainment discussed above. Here, we are interested in how school enrollment can affect behaviour, regardless of what is learnt in the classroom. There are a number of ways in which this can happen. One mechanism that increases the risk of HIV infection are the widely reported [4,34] but rarely documented cases of male teachers using their position of power to engage in sex with female pupils. In one qualitative study conducted in Tanzania, sexual relationships between female students and male teachers were reported in eight of nine villages in which interviews were conducted .
Many other mechanisms lead to safer sexual behaviour among school pupils. Hargreaves and colleagues  suggested that school pupils have smaller sexual networks than their out-of-school peers. This suggestion was based on the finding that students have less risky sexual behaviour and fewer sexual partners than non-students, even though there was no difference in HIV knowledge or access to HIV prevention materials between the two groups because school-based HIV prevention programmes were poorly developed in the study area at the time.
The preliminary finding (discussed below) that interventions to keep girls in school lead to a reduction in pregnancy rates  suggests other mechanisms for the effect of school attendance on sexual behaviour. School policies insisting that pregnancy should result in exclusion may act as an incentive for girls to avoid unprotected sex. Alternatively, girls may be more optimistic about their future as a result of their continuing education and thus see greater opportunity costs in getting pregnant. This interpretation is supported by a number of findings. As discussed above, school girls are more likely to evaluate negatively the consequences of unprotected sex . In addition, a study in Kenya  found that girls' dropout from school was more sensitive to the quality of schooling than boys' dropout. In schools in which academic achievement was lowest, girls were more likely to drop out from school than in higher-quality schools and were more likely to be married or pregnant. This suggests that education competes with another life course for girls, and when education is of poor quality girls choose to marry and start families. Other aspects of school quality are also important. Studies in Kenya and Egypt found that ‘gender neutral’ schools are more likely to encourage girls to persist with their education [39–41].
To conclude, we have identified four classes of mechanisms by which schooling may affect sexual behaviour. Three of these mechanisms relate to educational attainment: sociocognitive determinants, social networks and socioeconomic/demographic factors. One final mechanism relates to changes in sexual behaviour resulting from school attendance. We now turn to the evidence of whether sexual behaviour is indeed influenced by educational attainment and school attendance.
Schooling and sexual behaviour
Educational attainment and sexual behaviour
To our knowledge, no evidence exists identifying increased educational attainment as the causal factor in an individual's sexual behaviour. Much evidence, however, suggests that sexual behaviour is associated with education level. For some behaviours, education is a risk factor for HIV infection. For other behaviours education is protective. We deal first with the risk factors. There are a number of aspects of the sexual behaviour of more educated individuals that initially puts them at greater risk of infection, largely related to the socioeconomic and demographic mechanisms discussed above. More educated individuals change partners more rapidly  and have a greater number of sexual partners . A study in South Africa found that more educated individuals were more likely to have multiple concurrent sexual partners (Cockroft, personal communication). Educated women who delay marriage also have more sexual partners . The choice of contraceptives also differs by level of education. Although educated people may be more likely to use contraception overall, they are also more likely to choose methods, such as the contraceptive pill, which do not protect against sexually transmitted infections such as HIV. Taken together, and in the absence of any educational response to an epidemic, these factors increase the vulnerability of more educated individuals to HIV infection in the early stages of an epidemic.
There are also ways in which education leads to a greater adoption of safer sexual behaviour in response to the HIV epidemic. Data from demographic and health surveys in 11 countries  showed that women with primary school education were more likely than those with no education to report using a condom at last sex. In nine of these countries, secondary education was associated with a further increase in the likelihood of using a condom at last sex. Another study in Zimbabwe  found that women with secondary education were less likely to report having had unprotected casual sex and were more likely to delay sexual debut. Of these factors, the delay of sexual debut was a better predictor of HIV status. A study in the four African cities of Cotonou in Benin, Ndola in Zambia, Yaoundé in Cameroon, and Kisumu in Kenya found that education was associated with less risky sexual behaviour. Condom use was more common among more educated individuals in all four cities . The exchange of money for sex was less likely among educated women in all four cities and among more educated men in Yaoundé. Non-marital sex without a condom was less prevalent among more educated women in all four cities and among more educated men in Cotonou and Kisumu. In Yaoundé, more educated men and women were less likely to have sex with a casual partner on the day of meeting, and in Ndola, for both men and women, not knowing a partner's age was much more common among those with little schooling . Among Zambians aged 15–24 years, increases in condom usage between 1995 and 2003 were greatest for those with higher educational levels. In addition, they were less likely to have had more than one sexual partner in the previous year than those with lower educational levels .
Other behaviours that reduce HIV infection are also more common among the educated. For example, more educated people are more likely to seek treatment for other sexually transmitted diseases, which would decrease their vulnerability to becoming infected with HIV .
School attendance and sexual behaviour
Evidence for a causal relationship between general education and sexual behaviour comes from a recent study in Kenya , which aimed to lower the cost of education by providing school uniforms and thus reduce school dropout. Girls in schools in which uniforms were distributed were 2.5 percentage points less likely to drop out, a 15% reduction in the dropout rate. The dropout rate for boys also decreased by approximately 15%. Girls in schools in which uniforms were distributed were 1.5 percentage points less likely to have had a child, which amounts to nearly a 10% decrease in the childbearing rate for teenagers. Self-efficacy may also have been improved; girls in the uniform schools were significantly more likely to be confident that they could say no to a partner who wanted to have sex. The authors suggest that the reason for the change in behaviour is not related to what pupils learn at school but that girls typically plan to delay child-bearing and marriage until after they complete schooling. This may reduce the likelihood of their engaging in unprotected sex while they are at school, and indicates that they believe that they have a future through education. This study is currently under peer review but if the results are confirmed they will provide the first experimental evidence to our knowledge demonstrating that attending school for a longer period of time leads to safer sexual behaviour.
One study in South Africa  compared the sexual behaviour of students with those out of school. They found that the lifetime number of partners was lower for students of both sexes. Among young women, fewer students reported having partners more than 3 years older than themselves, having sex more than five times with a partner, and having had unprotected sex during the past year.
Schooling and sexual behaviour: conclusions
To summarize the preceding sections, there is much evidence showing an association between sexual behaviour and both attendance and attainment. Experimental evidence that school attendance leads to safer sexual behaviour is currently under review. Studies suggest several pathways through which sexual behaviour, and the risk of HIV infection, may be influenced by schooling. Students attending school have a smaller sexual network and a stronger motivation to avoid the consequences of unprotected sex (both pregnancy and HIV infection) than their out-of-school peers.
Educational attainment and HIV risk have a complex relationship (see Fig. 1). As educated individuals tend to have more control over their sexual behaviour, the association between education and HIV depends crucially on behavioural intentions. In the absence of information about HIV transmission, many individuals may intend to have several sexual partners. It is the greater control over the behaviour of more educated individuals that allows them to act on these intentions and puts them at greater risk of HIV infection. Educated individuals are, however, more likely to be exposed to HIV prevention messages, more likely to understand them and consequently have more knowledge about prevention methods. This may lead educated individuals to have different behavioural intentions and different behaviours. Given that HIV prevention messages become more prevalent with epidemic maturity, this leads to a hypothesis about the changing relationship between HIV and education. In the early stages of an epidemic, education is a risk factor for HIV infection. As an epidemic matures and prevention messages become more common, education is a protective factor against HIV infection. This hypothesis is examined in the next section.
Schooling and HIV prevalence
National level associations
At the national level in sub-Saharan Africa there is a positive relationship between literacy rates and HIV infection rates (Fig. 2): more literate countries have higher rates of HIV infection. More literate African countries tend to be the most developed on the continent, and they share a number of features that make them vulnerable to high rates of HIV infection. First, the most developed countries often have the largest income disparities between men and women, a factor associated with higher HIV infection rates . Similarly, employment in the formal sector is associated with higher HIV infection [47,48]. Increased migration and improved transport infrastructure can facilitate the spread of HIV . Urban residence is also associated with higher levels of HIV infection [47,48,50,51]. Finally, as discussed below, higher levels of education per se are associated with higher infection rates. According to this analysis the educational advantage of the southern African countries became their disadvantage at the beginning of the HIV epidemic. The high levels of education in the region may help explain initial high levels of vulnerability to HIV infection.
Although various demographic and socioeconomic conditions put the educated at greater risk of HIV infection, it has been hypothesized above that they will be more likely to change their behaviour in response to information about the epidemic [52,53]. One way in which this trend may manifest itself at the national level is in the weakening of the relationship between literacy and HIV infection rates as the epidemic matures. We would expect the positive relationship between HIV infection and literacy to be weaker (or even to become negative) in the later stages of the epidemic. This hypothesis has been tested  by comparing the relationship between adult HIV prevalence in 1999 and adult literacy in 1998 in three different regions of sub-Saharan Africa. In two regions (west/central Africa and east Africa) the epidemic is more mature and the relationship between HIV prevalence and literacy is relatively weak compared with the region with the most recent epidemic (southern Africa). A similar inversion may be occurring in the relationship between income and HIV status .
This analysis is consistent with the hypothesis that education better prepares individuals to mount a response to the HIV/AIDS epidemic. There are, however, difficulties in using population-level data to draw inferences about individuals. For example, in countries with high HIV prevalence and high literacy rates it is not clear whether literate individuals are the ones with HIV infection without conducting an individual-level analysis. It is to this that we now turn in the following section.
Individual level associations
The majority of studies investigating this issue have found a positive relationship between educational level and HIV infection. That is, HIV prevalence is higher among educated individuals [31,55–63]. Five population-based studies have, however, found the opposite trend [42,44,64–66], whereas several other studies found no significant relationship between education and HIV [42,44,67].
The overall pattern of these results is complex. This is to be expected if the pattern represents the combination of two opposing trends: the initial increased vulnerability of educated individuals to HIV infection followed by their more rapid behavioural change once informed about the epidemic. The studies reported do allow us several opportunities to try to untangle these two trends by analysing their evolution alongside epidemic maturity.
Changing relationship between HIV and education with epidemic maturity
A recent systematic review  uses three strands of evidence to conclude that the association between educational attainment and HIV infection is weakening over time. First, studies conducted from 1996 onwards were more likely to find a lower risk of HIV infection among the most educated. A study conducted among urban and rural men and women in Zambia found that the risk of HIV infection among 15–49-year-olds with 10 or more years of education fell from 1995 to 2003 . The situation in Africa contrasts with that in other areas of the world. For example, in Thailand the HIV epidemic was monitored by existing mechanisms and was initially confined to high-risk groups. This allowed the spread of information about the epidemic before the spread of the infection to the general population. This is perhaps why the most educated individuals were protected from HIV from the early 1990s.
The second line of evidence is that, when data were available over time, HIV prevalence fell more consistently among highly educated groups than among less educated groups, in which HIV prevalence sometimes rose while the overall population prevalence was falling. The clearest evidence comes from a longitudinal survey in rural areas of Masaka district, Uganda . The national prevalence of HIV in the adult population declined from its peak of 14% in the early 1990s to approximately 5%, largely as a result of a strong prevention campaign . As illustrated in Fig. 3, the rate of decline in prevalence is greater for those with secondary education than for those with lower levels of education, and those with primary education show a faster decline in prevalence than those with no education. The chances of contracting HIV during this period was reduced by 6.7% for each year spent in school , and those with no education were 2.2 times more likely to become infected than those who had completed primary education.
The third line of evidence is that, in several populations, associations suggesting greater HIV risk in the more educated groups at earlier time points were replaced by weaker associations later. The data from Masaka district, Uganda, demonstrate the evolving nature of the relationship between HIV and education. In 1990, there was no relationship between HIV prevalence and education. In 2000, having completed primary education was associated with a 5.1% reduction in the risk of HIV infection, and secondary education was associated with an 8.8% reduction in risk. This relationship between HIV and educational attainment was found for women but not men. Similarly, in Rakai, Uganda, HIV infection was associated with increased levels of education in 1990 and 1992 but not by 1994 [56,71]. Similar patterns are found in other countries. In a population-based study in Zimbabwe, men and women aged 17–19 years were at a lower risk of HIV infection if they had secondary education. The benefit of education was lower for those aged 20–24 years, and there was little or no protective benefit for those aged 25 years and over . In Fort Portal, HIV prevalence among women aged 15–49 years attending an antenatal clinic was highest for those with secondary education in 1991–1994, but by 1995–1997 older illiterate women had the highest prevalence . Prevalence reduced to the greatest extent among women with secondary education and among young women. Similarly, there was a positive association between education level and HIV infection among women attending an antenatal clinic in 1994 but not by 1998 [60,61]. Again, the largest reductions were seen among younger, more educated women. Similar patterns were seen in northern Malawi , but there was no evidence of a changing association between HIV and education in Blantyre, Malawi  or in Kagera, Tanzania .
Overall, causal evidence is lacking, but these observational findings suggest that education has moved from being a risk factor for HIV to being a protective factor. The analysis is consistent with the thesis that educated individuals are at a higher risk of HIV infection initially but are better able to mount a response to the HIV epidemic.
School attendance and HIV infection
We are aware of only one study that examined the relationship between school attendance and HIV infection. This study in South Africa found that male students were less likely to be infected with HIV than male non-students . No such relationship was found for young women. The results for women were, however, complicated because sexual activity can influence school attendance, when pregnant girls drop out, as well as school attendance influencing sexual activity.
Evidence of a causal relationship between educational attainment and HIV infection
To our knowledge, only one randomized controlled trial has been conducted to link schooling with HIV-related behaviour . The study is under review, but if findings prove valid they will provide causal evidence that keeping girls in school reduces the incidence of unprotected sex. In our dichotomous classification of schooling this supports arguments for increased school attendance of girls but does not address the argument for increased educational attainment of girls. Causal evidence of this latter relationship is harder to find. Longitudinal studies are helpful in our understanding of the relationship between educational attainment and HIV infection. Cross-sectional studies are unable to establish whether HIV infection leads to poor educational attainment or vice versa. Also, cross-sectional studies examining HIV prevalence do not take into account the influence educational level may have on the length of survival of HIV-infected individuals. Longitudinal studies can help resolve these issues. One study in a poor rural community in KwaZulu-Natal, South Africa  followed individuals initially uninfected with HIV for just over one year. They found that participants were 7% less likely to become infected with HIV for each year of education they had completed.
A similar study in Tanzania looked at the same longitudinal relationship using aggregated data from 20 regions over 8 years . The study estimated that each increase of 1% in female primary school enrollment was responsible for a 0.15% reduction in HIV prevalence in this group, corresponding to 1408 infections in the period 1994–2001. A further analysis of these data suggests that the investment in increased school enrollment is justified by the averted cases of HIV and the earning potential of these individuals, with a cost–benefit ratio of between 1.3 and 2.9.
Even with such longitudinal data, however, we cannot rule out the possibility that educational attainment is a proxy for some other characteristic, such as socioeconomic status. We have noted that changes in the relationship between socioeconomic status and HIV infection over time are similar to changes in the relationship between education and HIV – socioeconomic status is increasingly found to be protective against HIV in associational studies . Analyses from Uganda  and elsewhere  suggest that parental and individual income are not explanatory factors in the relationship between HIV and educational attainment. Several studies have attempted to determine whether economic status, mobility or education is most important in determining HIV vulnerability. A review of these studies finds mixed results .
The ecological nature of the evidence presented implies other limitations. It may be that participants in studies were not representative of the overall population. Although studies based in antenatal clinics report close to a 100% response rate, such studies do not include men, sexually inactive women or those who do not use clinics. This latter group in particular may exhibit a different relationship between education and HIV, particularly as clinic use may be associated with education level.
Given the need for policy decisions to be based on clear evidence, it is of concern that all evidence addressing the relationship between HIV and educational attainment is observational in nature. Further evidence is required before it can be concluded that educational attainment is a causal factor in the reduction of HIV vulnerability. The long-term follow-up of randomized controlled trials to improve educational access, for example through conditional cash transfers, and analyses of the long-term consequences of recent educational expansion policies in Africa offer the potential to examine the causal relationship between educational attainment and HIV. In the final section of this paper we make suggestions about how policy can be formulated on the basis of current evidence.
Expanding educational access in hyperendemic countries
The foregoing discussion of the effect of education on HIV prevalence and risk must be placed in the context of educational access in southern Africa. The first panel of Table 1 shows the primary school net enrollment ratios for the eight hyperendemic countries and Malawi. Some countries are far closer to achieving universal primary education than others. National-level statistics can, however, be misleading. Within countries there is often large regional variation. In a number of countries, including Zambia and Zimbabwe, internal geographical variation in net enrollment ratios has increased since the Dakar World Education Forum meeting in 2000 . Achieving universal access is not just about meeting national goals, but about focusing on regions within countries that are falling behind. In addition, completion rates for the primary cycle of education lag far behind enrollment rates (Table 2).
Poor rates of primary completion and of secondary access are a concern because evidence presented above suggests that the protective benefits of education against HIV infection continue through all levels of education. Post-basic education has the strongest protective effect, as discussed above for Zimbabwe and Uganda. Countries with high HIV prevalence rates are, however, still far from universal secondary net enrollment, as shown in the second panel of Table 1. Another possible implication of the proportionate relationship between sexual behaviour and education is that the least educated individuals in a society are vulnerable to HIV regardless of the overall level of education in that society. This interpretation of findings argues for the equitable expansion of schooling at all levels. Although this is an ambitious goal, it is not an all-or-nothing proposition; keeping girls in school a year longer is beneficial for HIV prevention even if they do not complete secondary school. Girls are less likely to engage in unprotected sex while they are attending school. Furthermore, evidence suggests that each additional year of schooling increases one's ability to avoid HIV infection. Whereas national governments should maintain high goals for the education of their girls, it is important to recognize that even moderate steps towards these goals help reduce vulnerability to HIV.
If these countries are to expand educational opportunities for children, a healthy teacher corps is vital. In South Africa, Shisana and colleagues  found an overall HIV prevalence rate among teachers of 12.7%. Among teachers aged 21–34 years, the rate was 21.4%. Many of these teachers will see their teaching careers shortened due to illness if they do not have access to treatment. Antiretroviral treatment may reduce teacher absences and mortality in sub-Saharan Africa by 90%, making it cost-effective as a national policy option for hyperendemic countries . Considering solely education sector benefits, Risley and Bundy  calculated a return of US$2.24 per dollar invested in treatment for teachers. Despite these benefits, many teachers do not have access to antiretroviral treatment in the countries of southern Africa. One exception is Zambia, where an estimated 800 teachers die from AIDS-related causes each year and teachers now have access to free voluntary counselling and testing and antiretroviral drugs . Hyperendemic countries must actively promote the health of their teachers in order to staff the additional schools and classrooms needed.
Conclusions: what does the evidence show?
Cross-sectional evidence shows that educational attainment is associated with a higher risk of HIV infection in the early stages of an epidemic and with a lower risk of HIV infection as the epidemic matures. Longitudinal studies show that educated individuals are less likely to acquire HIV infections over time. The causal role of education in these relationships cannot, however, be identified.
In some studies evidence suggests that educational attainment is associated with an increased number of sexual contacts. Others find that educational attainment leads to a reduction in sexual contacts and reduced transmission rates, as a result of increased condom use. These findings are consistent with evidence that when given accurate information about HIV, educated individuals are more likely to engage in safer sexual behaviour. This relationship is present at all levels of education.
Evidence of a relationship between school attendance and sexual behaviour comes from one experimental study, currently under review, which demonstrates that keeping girls in school leads to a reduction in unprotected sex.
Evidence also suggests that school attendance is associated with a reduction in the number of partners for men and women and a reduction in HIV vulnerability for men.
We have discussed the effects of school attendance and increased educational attainment separately throughout this paper to highlight the different bodies of evidence underpinning these two effects. The implications of these two effects are, however, the same: efforts should be made to keep girls in school at all levels. This argument is supported by preliminary causal evidence on the impact of school attendance on sexual behaviour and associational evidence on the effect of educational attainment on sexual behaviour and HIV vulnerability.
Section 2: the impact of school-based HIV prevention education
This section focuses on education programmes conducted in schools in sub-Saharan Africa that aimed to have an impact on the sexual behaviour of participants and to reduce the prevalence of HIV. In this category we include both traditional knowledge-building sex education and skills-building programmes specifically focused on HIV prevention. Such programmes can be challenging to design and evaluate. A long chain of events must occur for these programmes to be successful, from appropriate design to staff training to the precise measurement of outcomes. Strong evidence of the effectiveness of such programmes can only be garnered from randomized controlled trials with biological outcomes. Such studies are, however, rare because of their expense and the difficulty of obtaining biomarker data from young people. Our review of the evidence falls into two sections. First, we look at studies that did not meet these stringent criteria and that constitute the vast majority of work in this area. Second, we look at more recent trials that met the criteria required to infer causality. To our knowledge, we have included all randomized controlled trials with biological outcomes that have been conducted in southern Africa. We reviewed all programmes included in other systematic reviews , evaluations found through searches conducted in Web of Science, and through contacts with key researchers in the field.
HIV prevention programmes evaluated without biological outcomes
Several reviews have been conducted over the past several years that condense the current knowledge on HIV and sexual health prevention programmes. Gallant and Maticka-Tyndale  focus specifically on HIV/AIDS interventions for African youth that were conducted in schools. They include 11 peer-reviewed studies with quantitative evaluation data that were published between 1990 and 2002. Looking separately at knowledge, attitudes, and behaviours, the review by Gallant and Maticka-Tyndale  makes clear that a change in knowledge or attitude does not necessarily result in the desired change in behaviour.
All 11 programmes attempted to increase knowledge, and 10 were successful. In the remaining study, a school-based programme in Uganda focused on HIV/AIDS and sexually transmitted diseases, the authors found that the programme was not fully implemented as designed . The reviewed programmes were also successful in changing student attitudes. All seven programmes that attempted to do so were able to produce change in students' attitudes towards people living with HIV and AIDS. This reduction in stigma has important implications that are discussed below.
There was, however, less consistency in programme outcomes when condom usage and abstinence were outcomes. Two studies found a positive change in attitudes towards abstinence [83,84], whereas two others found no improvement [85–87]. According to the review of Gallant and Maticka-Tyndale , student understandings of personal risk level may be the most difficult attitude for a school health programme to change. Despite this challenge, two programmes were able to improve reported self-efficacy [84,85,88].
Behaviour change proves more difficult than changing knowledge and attitudes. Only one of the three studies focusing on sexual behaviour found an impact on sexual debut and the number of partners . Of four studies aimed at condom use, only one increased the reported rates of condom usage . Although sexual behaviours may be difficult to impact directly, related behaviours seem to be more malleable. Several studies were able to increase communication between students and their parents, friends, and sexual partners about sexual issues and HIV [87–90]. Importantly, Gallant and Maticka-Tyndale  note that in no case did sexual activity rates increase as a result of the interventions. In all reviewed cases sexual activity decreased, although in many cases the changes were not statistically significant.
One key study using self-reported outcomes has been conducted since this review. A recent evaluation of the primary school action for better health programme in Kenya used matched pairs of 40 control schools and 40 intervention schools to identify programme effects . The programme's effects differed by gender. Boys in programme schools who had been highly exposed to the programme were significantly more likely to report condom use at last sex [odds ratio (OR) 1.56 for pre-programme virgins and 1.47 for those who were not virgins at programme initiation], whereas there were no significant effects of the programme on girls' reported condom use even at a high exposure level. Both boys and girls in programme schools who were virgins at baseline were significantly less likely to begin sexual activity during the programme, but the effect was stronger for girls (OR 0.59) than for boys (OR 0.71). That study underlines the importance of tracking programme dose received by different groups of students, as many of the outcome measures differed between youth who had ‘high’ and ‘low’ programme exposure. Poor implementation fidelity and low programme dose threaten the results of even the best-designed programmes. This conclusion is supported by a randomized evaluation of KwaZulu-Natal's ninth grade life-skills-based programme. The study found that the programme did not change abstinence rates, condom use, measures of confidence, or communications regarding HIV/AIDS. The authors hypothesize that these poor outcomes are related to incomplete programme implementation in some schools .
A second useful review was conducted by Kirby and colleagues . The review by Kirby et al.  covered 83 studies in 22 developed and developing countries. The programmes focused on sexually transmitted infections, HIV/AIDS, and pregnancy. Programme impacts varied by sexual behaviour. Half of the programmes focusing on reducing sexual risk-taking were successful, compared with only 29% of programmes designed to reduce the frequency of sex. Overall, however, Kirby et al.  found that 65% of the studies reviewed had a positive and significant impact on at least one sexual behaviour, and only 7% had a significant negative impact on participants' behaviours. In addition to consolidating the findings of the 83 studies, Kirby et al.  identified 17 common traits of the successful programmes. The list of characteristics, covering curriculum, curriculum development, and implementation of the curriculum, can be used by designers of new school health programmes to maximize chances of success. Such a study is not unequivocal. Identifying the causal factors determining the success of interventions is not, however, possible with the data available and the analysis of Kirby et al.  is a valuable first step in building the evidence base for HIV prevention education.
Randomized trials of HIV prevention education interventions with biological outcome measures
Three recent studies have assessed the impact of HIV prevention education using a randomized trial design with biological outcome measures, either using pregnancy as a proxy for sexual behaviour or directly assessing HIV infection. Duflo and colleagues  compared two HIV-related education interventions using a randomized controlled design in western Kenya. A condom essay and debate programme had a positive outcome on self-report measures; those who participated were more likely to report that they used condoms. A teacher training programme resulted in little change. Neither intervention had an impact on pregnancy rates.
Working in the same population in western Kenya, another recent study showed that risk-reduction education had a significant effect on risky HIV-related behaviour. Dupas  conducted a randomized controlled trial involving 328 primary schools in Kenya to evaluate an education campaign focusing on the risks of cross-generational sex. The campaign involved a 40-minute talk, a 10-minute video, and a survey. The programme was successful in reducing cross-generational sex: there was a 65% decrease in the number of pregnancies with adult fathers in the experimental group. Although sexual activity with same-age partners did increase, condom usage also rose and there was no increase in pregnancies by same-age partners. This study is currently undergoing peer review and its results should be interpreted with caution. If they are validated, the results would demonstrate that when a realistic goal is given for behaviour change, even a 50-minute information campaign may lead to changes in sexual behaviour. This potential for ‘actionable knowledge’ is worthy of further investigation.
Another large randomized trial has recently been conducted in neighboring Tanzania . In that study 20 communities were randomly assigned to receive intervention or control activities. The Mema Kwa Vijana intervention included a teacher-led, peer-assisted sexual health education programme as well as community activities, training and supervision of health workers to provide ‘youth-friendly’ sexual health services, and peer condom social marketing. The intervention had a significant impact on knowledge and reported attitudes, reported sexually transmitted infection symptoms and several behavioural outcomes. There was, however, no evidence of a reduction in HIV incidence in the intervention group. This was possibly because HIV prevalence was still very low at the time of the evaluation.
HIV prevention programmes and stigma
Stigma and discrimination are major barriers to testing and treatment in southern Africa . Many individuals would rather not know their status, as the social consequences of a positive test result can be dire. School children are no exception, as children in families affected by HIV and AIDS face stigma and discrimination from community members [96,97]. The internal or felt stigma as well as the experienced stigma can make children feel different from their peers and isolated from their communities. Anecdotal evidence suggests that stigma and discrimination in schools may result in dropout among children affected by HIV and AIDS . These children may be explicitly barred from schools or they may be treated so poorly by teachers, administrators, and other students that they drop out .
Evidence suggests that there is an association between stigma and the likelihood of having been tested for HIV. In South Africa, women who had less stigmatizing views towards people living with HIV and AIDS were more likely to have been tested . Programmes that can reduce stigma, therefore, may increase the level of testing and consequently treatment. In the review by Gallant and Maticka-Tyndale  of school HIV prevention programmes in Africa discussed above, every programme that measured students' attitudes towards people living with HIV and AIDS was successful in changing these attitudes. A randomized study conducted in Tanzania measured student attitudes towards people living with HIV and AIDS before and after a 20-h prevention programme . The authors found that changes in student attitudes remained significant at the 12-month follow-up, indicating that targeted in-school programmes can have a lasting effect on stigma.
Integrating HIV/AIDS responses into broader school health programmes and the education sector
Increasingly, HIV/AIDS responses are being scaffolded onto school health and nutrition programmes in Africa and in the rest of the world . A few countries, including Kenya and the United Republic of Tanzania, have taken the further step of mainstreaming HIV/AIDS throughout the education sector, from central offices to districts to local schools . Combining anti-HIV efforts with other health campaigns should result in more consistency in focus and funding. Stand-alone HIV projects are more likely to be affected by political whim or trends in support than if they are enveloped in a wider curriculum of health promotion.
Conclusions: what does the evidence show?
Overall, there is evidence that HIV prevention education can lead to a change in sexual behaviour. The pattern of results does not, however, strongly support the effectiveness of school-based prevention education programmes. This may be attributable to the difficulties in using schools and teachers to deliver sensitive messages about sexual behaviour  and the absence, until recently, of good evidence to guide the design of effective programmes . It is intriguing that one behaviour change intervention claiming success  was not implemented by teachers. The possibility of external agencies implementing HIV prevention education in schools is worth further exploration. The provisional results of that trial in Kenya point to another aspect of the future potential of school-based interventions. When adolescents are given a realistic option for their sexual behaviour (i.e. choose sexual partners of your own age rather than older sexual partners) rather than unattainable ideals (i.e. abstinence) behaviour change may be more likely to occur.
Section 3: policy recommendations
The policy recommendations below are divided into two sections: those directed at national-level educational policy, and those directed towards curriculum developers and programme planners designing HIV/AIDS interventions. Whereas making changes at either level would be beneficial, the evidence shows that both are necessary to exploit education fully as a means of combating HIV.
Policies on access to education
We presented substantial evidence of a link between schooling and protection against HIV. The evidence is not, however, unequivocal. In the case of the relationship between educational attainment and HIV, no causal inferences can be drawn. For the relationship between school attendance and HIV, experimental studies have been conducted but results are not yet published. There is an urgent need to strengthen the evidence base. In the interim there are strong arguments for pursuing a policy of increased educational access to reduce the vulnerability of girls to HIV infection. Based on the studies relating to mechanisms, sexual behaviour and HIV infection the most likely interpretation of findings is that increased educational attainment leads to increased protection against HIV. Similarly, the best interpretation of findings related to school attendance is that girls attending school are less vulnerable to HIV infection. Given the urgency of the situation, there is reason to act on the best available evidence.
On the basis of these arguments, achieving education for all (EFA) would be an important contribution to HIV prevention. Current global efforts as part of the EFA fast track initiative already recognize the importance of addressing HIV within the education sector and specifically encourage the inclusion of an HIV response with education sector plans . Focusing EFA efforts on the poor, who are the least likely to attend school, may be disproportionately advantageous in fighting HIV. Poverty and HIV, the two most critical issues for the countries of southern Africa, are now firmly intertwined. When faced with financial constraints, it may be impossible for HIV and AIDS-affected families to pay school fees and the indirect costs of education such as uniforms and books. Programmes need to address this factor explicitly and make schooling affordable for the poorest segment of the population.
- Strengthen country actions to achieve universal access to basic education, addressing equity and equality in gender and geography.
- Develop a new focus on promoting participation in secondary education, especially for girls.
Policies on curriculum responses to HIV/AIDS
Whereas increasing levels of general education can be effective, a tailored HIV prevention curriculum also has a role to play. There are at least three successive levels at which a curriculum response can be effective. At the most basic level, even relatively simple interventions in resource-poor environments can usefully address stigma and discrimination, as discussed above. At a slightly higher level of complexity, provisional evidence suggests that strategic information or actionable knowledge can have an important impact while requiring relatively manageable interventions by the education sector. Provision of information that is useful, targeted, and relevant to students is one factor that influences parent and student perceptions of school quality. At the highest level of complexity, there is a clear and sound theoretical argument for providing an educational package that aims to develop knowledge, attitudes and skills specifically aimed at HIV prevention, promoting behaviours such as condom use and partner reduction . It is not easy to implement these programmes well, especially at a large scale, and poorly implemented programmes are unlikely to show an effect. Guidance on how to develop skill-building programmes is vague and there is a great deal of confusion, resulting in enormous variation in programme content and quality. Although the recommendations by Kirby et al.  are an invaluable contribution towards consolidating knowledge about HIV prevention programme design, they are not based exclusively on evidence from rigorous trials and further evidence is needed.
- Ensure immediately that curricula at all levels address stigma and discrimination.
- Explore the potential for approaches involving actionable knowledge, starting with implementing approaches of known effectiveness, while simultaneously identifying and testing new approaches.
- Launch a systematic, subregional approach to implementing high-quality HIV prevention programmes, which incorporate impact evaluation as an intrinsic component of programme design.
- Promote sustainability of the HIV response by packaging within existing frameworks, especially school health and nutrition programmes.
Building a community of practice and sharing knowledge
The challenges that HIV presents to the education sectors of southern Africa are unique to the region. In the education sector, however, there is a lack of a systematic mechanism for sharing knowledge and experiences of HIV, and in particular experiences that involve both the health and education sectors. Under guidance from UNAIDS the UN system has helped create mechanisms for information sharing among agencies, development partners and countries. The education sector has, however, not played a strong role in these mechanisms. It is apparent from the discussion above that there are actions that need to be taken, including developing new tools and approaches that are largely region-specific, but applicable to all the hyperendemic countries. Networks involving HIV focal points from Ministries of Education as well as representatives of national AIDS authorities have proved very effective mechanisms for facilitating the sharing of information in the western and eastern regions of Africa. Establishing such a mechanism among the countries of southern Africa might provide an important platform for sharing information and optimizing the investment in evaluations while avoiding duplication, and should be a specific area for donor focus.
- Create an enabling network for the region, promoting information sharing and joint action by the education sector.
Many of these recommendations are not new but they are justified by emerging evidence that strengthening current efforts will have a big impact on the HIV epidemic. We have argued that keeping girls in school promotes safe sexual behaviour, that education can reduce HIV-related stigma, and that there is potential for girls to change their sexual behaviour when given effective HIV prevention education, and that subregional information sharing and leadership is crucial in these efforts. In all these ways, education can help protect young women and girls in southern Africa from HIV.
The authors would like to thank Tania Boler, Amaya Gillespie, James Hargreaves, Gillian Holmes, Michael Kelly, Changu Mannathoko, Rick Olson and Danny Wight for their valuable comments on an earlier version of this paper. Publication of this article was funded by UNAIDS.
Conflicts of interest: None.
1. World Bank. Education and HIV/AIDS: a window of hope
. Washington, DC: World Bank; 2002.
2. Padian NS, Shiboski SC, Jewell NP. Female-to-male transmission of human immunodeficiency virus. JAMA 1991; 266:1664–1667.
3. Pinheiro PS. World report on violence against children: United Nations Secretary-General's study on violence against children
. Geneva: WHO Department of Child and Adolescent Health and Development; 2006.
4. USAID. Unsafe schools: a literature review of school-related gender-based violence in developing countries
. Arlington, Virginia: Development and Training Services (DTS) and USAID; 2003.
5. Dupas P. Relative risks and the market for sex: teenagers, sugar daddies and HIV in Kenya
. 2006. Available at: http://www.povertyactionlab.com/papers/Dupas_RelativeRisk_1007.pdf
. Accessed: 2 September 2008.
6. Hargreaves JR, Bonell CP, Boler T, Boccia D, Birdthistle I, Fletcher A, et al
. Systematic review exploring time trends in the association between educational attainment and risk of HIV infection in sub-Saharan Africa. AIDS 2008; 22:403–414.
7. Rosenstock IM, Glanz K, Lewis FM, Rimer BK. The health belief model: explaining health behavior through expectancies. In: Glanz K, Lewis FM, Rimer BK, editors. Health behaviour and health education
. San Francisco: Jossey-Bass; 1990. pp. 39–62.
8. Ajzen I. From intention to actions: a theory of planned behavior. In: Kuhl J, Beckman J, editors. Action control: from cognitions to behavior. New York: Springer-Verlag; 1985. pp. 11–39.
9. Gregson S, Zhuwau T, Anderson RM, Chandiwana SK. Is there evidence for behaviour change in response to AIDS in rural Zimbabwe? Soc Sci Med 1998; 46:321–330.
10. Fishbein M. The role of theory in HIV prevention. AIDS Care 2000; 12:273–278.
11. Were M. Determinants of teenage pregnancies: the case of Busia District in Kenya. Econom Hum Biol 2007; 5:322–339.
12. Bandura A. Social Learning Theory. Vol. viii. New Jersey: Prentice Hall; 1977.
13. Ajzen I. Perceived behavioral control, self-efficacy, locus of control, and the theory of planned behavior. J Appl Soc Psychol 2002; 32:665–683.
14. Lindan C, Allen S, Carael M, Nsengumuremyi F, Vandeperre P, Serufilira A, et al
. Knowledge, attitudes, and perceived risk of AIDS among urban Rwandan women
: relationship to HIV infection and behavior change. AIDS 1991; 5:993–1002.
15. Jewkes RK, Levin JB, Penn-Kekana LA. Gender inequalities, intimate partner violence and HIV preventive practices: findings of a South African cross-sectional study. Soc Sci Med 2003; 56:125–134.
16. Global Campaign for Education
. Learning to survive: how education for all would save millions of young from HIV/AIDS
. Brussels, Belgium: Global Campaign for Education
17. Wolff B, Blanc AK, Gage AJ. Who decides? Women
's status and negotiation of sex in Uganda. Culture, Health Sexuality 2000; 2:303–322.
18. Beekle AT, McCabe C. Awareness and determinants of family planning practice in Jimma, Ethiopia. Int Nurs Rev 2006; 53:269–276.
19. Weiser SD, Leiter K, Bangsberg DR, Butler LM, Percy-de Korte F, Hlanze Z, et al
. Food insufficiency is associated with high-risk sexual behavior among women
in Botswana and Swaziland. PLoS Med 2007; 4:e260.
20. Albarracin D, Kumkale GT, Johnson BT. Influences of social power and normative support on condom use decisions: a research synthesis. AIDS Care Psychol Socio-Med Aspects AIDS/HIV 2004; 16:700–723.
21. Eaton L, Flisher AJ, Aaro LE. Unsafe sexual behaviour
in South African youth. Soc Sci Med 2003; 56:149–165.
22. Buhler C, Kohler H-P. Talking about AIDS: the influence of communication networks on individual risk perceptions of HIV/AIDS infection and favored protective behaviors in South Nyanza District, Kenya.Demogr Res
2003; Special Collection 1:397–438.
23. Giles M, Liddell C, Bydawell M. Condom use in African adolescents: the role of individual and group factors. AIDS Care 2005; 17:729–739.
24. Campbell C, Foulis CA, Maimane S, Sibiya Z. The impact of social environments on the effectiveness of youth HIV prevention: a South African case study. AIDS Care 2005; 17:471–478.
25. Hadera HG, Boer H, Kuiper WAJM. Using the theory of planned behaviour to understand the motivation to learn about HIV/AIDS prevention among adolescents in Tigray, Ethiopia. AIDS Care 2007; 19:895–900.
26. Latkin CA, Knowlton AR. Micro-social structural approaches to HIV prevention: a social ecological perspective. AIDS Care 2005; 17:102–113.
27. Gregson S, Terceira N, Mushati P, Nyamukapa C, Campbell C. Community group participation: can it help young women
to avoid HIV? An exploratory study of social capital and school education
in rural Zimbabwe. Soc Sci Med 2004; 58:2119–2132.
28. Myer L, Mathews C, Little F. Improving the accessibility of condoms in South Africa: the role of informal distribution. AIDS Care 2002; 14:773–778.
29. Berkley SF, Widywirski R, Okware SI, Downing R, Linnan MJ, White KE, Sempala S. Risk-factors associated with HIV infection in Uganda. J Infect Dis 1989; 160:22–30.
30. Dallabetta GA, Miotti PG, Chiphangwi JD, Saah AJ, Liomba G, Odaka N, et al
. High socioeconomic-status is a risk factor for human-immunodeficiency-virus type-1 (HIV-1) infection but not for sexually-transmitted diseases in women
in Malawi – implications for HIV-1 control. J Infect Dis 1993; 167:36–42.
31. Quigley M, Munguti K, Grosskurth H, Todd J, Mosha F, Senkoro K, et al
. Sexual behaviour
patterns and other risk factors for HIV infection in rural Tanzania: a case–control study. AIDS 1997; 11:237–248.
32. Blanc A. The relationship between sexual behaviour and level of education in developing countries
. Geneva: UNAIDS; 2000.
33. Blanc AK, Way AA. Sexual behavior and contraceptive knowledge and use among adolescents in developing countries. Stud Family Plann 1998; 29:106–116.
34. Hargreaves J, Boler T. Girl power: the impact of girls' education on HIV and sexual behaviour
. Johannesburg, South Africa: ActionAid International; 2006.
35. Plummer ML, Wight D, Wamoyi J, Nyalali K, Ingal T, Mshana G, et al
. Are schools a good setting for adolescent sexual health promotion in rural Africa? A qualitative assessment from Tanzania. Health Educ Res 2007; 22:483–499.
36. Hargreaves JR, Morison LA, Kim JC, Bonell CP, Porter JDH, Watts C, et al
. The association between school attendance, HIV infection and sexual behaviour
among young people in rural South Africa. J Epidemiol Commun Health 2008; 62:113–119.
37. Duflo E, Dupas P, Kremer M, Sinei S. Education and HIV/AIDS Prevention: Evidence from a randomized evaluation in Western Kenya
. World Bank policy research working paper series no 4024; Washington, DC: World Bank, 2006.
38. Jukes MCH, Piper B. The impact of school quality on the gender equity of primary school completion in Kenya
. In: Comparative, International Education Society Annual, Conference
, Columbia University, New York, 19 March 2008.
39. Lloyd CB, Mensch BS, Clark WH. The effects of primary school quality on school dropout among Kenyan girls and boys. Comp Educ Rev 2000; 44:113–147.
40. Mensch BS, Clark WH, Lloyd CB, Erulkar AS. Premarital sex, schoolgirl pregnancy, and school quality in rural Kenya. Stud Family Plann 2001; 32:285–301.
41. Lloyd CB, El Tawila S, Clark WH, Mensch BS. The impact of educational quality on school exit in Egypt. Comp Educ Rev 2003; 47:444–467.
42. Gregson S, Mason PR, Garnett GP, Zhuwau T, Nyamukapa CA, Anderson RM, Chandiwana SK. A rural HIV epidemic in Zimbabwe? Findings from a population-based survey. Int J STD AIDS 2001; 12:189–196.
43. Lagarde E, Carael M, Glynn JR, Kanhonou L, Abega SC, Kahindo M, et al
. Educational level is associated with condom use within non- spousal partnerships in four cities of sub-Saharan Africa. AIDS 2001; 15:1399–1408.
44. Glynn JR, Caraël M, Suvé A, Anagonou S, Zekeng L, Kahindo M, Musonda R. Does increased general schooling protect against HIV infection? A study in four African cities. Trop Med Int Health 2004; 9:4–14.
45. Sandøy IF, Michelo C, Siziya S, Fylkesnes K. Associations between sexual behaviour
change in young people and decline in HIV prevalence in Zambia. BMC Public Health 2007; 7:60–75.
46. World Bank. Confronting AIDS: public priorities in a global epidemic
. Oxford, UK: Oxford University Press; 1997.
47. Barongo LR, Borgdorff MW, Mosha FF, Nicoll A, Grosskurth H, Senkoro KP, et al
. The epidemiology of HIV-1 infection in urban areas, roadside settlements and rural villages in Mwanza region, Tanzania. AIDS 1992; 6:1521–1528.
48. Serwadda D, Wawer MJ, Musgrave SD, Sewankambo NK, Kaplan JE, Gray RH. HIV risk-factors in 3 geographic strata of rural Rakai district, Uganda. AIDS 1992; 6:983–989.
49. Caldwell J, Caldwell P. The nature and limits of the sub-Saharan African AIDS epidemic: evidence from geographical and other patterns. Popul Dev Rev 1993; 19:817–848.
50. Boerma J, Urassa M, Senkoro K, Klokke A, Ng'weshemi J. Spread of HIV infection in a rural area of Tanzania. AIDS 1999; 13:1233–1240.
51. Fylkesnes K, Mubanga Musonda R, Kasumba K, Ndhlovu Z, Mluanda F, Kaetano L. The HIV epidemic in Zambia: socio-demographic prevalence patterns and indication trends among childbearing women
. AIDS 1997; 11:339–346.
52. Gregson S, Waddell H, Chandiwana S. School education
and HIV control in sub-Saharan Africa: from discord to harmony? J Int Dev 2001; 13:467–485.
53. Over M, Piot P, Jamison DT, Mosley WH, Measham AR, Bobadilla JL. HIV infection and sexually transmitted diseases. In: Jamison DT, Mosley W, Measham A, Bobadilla J, editors. Disease control priorities in developing counties. New York: Oxford University; 1993.
54. Gillespie S, Kadiyala S, Greener R. Is poverty or wealth driving HIV transmission? AIDS 2007; 21(Suppl. 7):S5–S16.
55. Kirunga CT, Ntozi JP. Socio-economic determinants of HIV serostatus: a study in Rakai District, Uganda. Health Trans Rev 1997; 7(Suppl.):175–188.
56. Smith J, Nalagoda F, Wawer MJ, Serwadda D, Sewankambo N, Konde-Lule J, et al
attainment as a predictor of HIV risk in rural Uganda: results from a population-based study. Int J STD AIDS 1999; 10:452–459.
57. Grosskurth H, Mosha F, Todd J, Senkoro K, Newell J, Klokke A, et al
. A community trial of the impact of improved sexually transmitted disease treatment on the HIV epidemic in rural Tanzania. 2. Base-line survey results. AIDS 1995; 9:927–934.
58. Senkoro KP, Boerma JT, Klokke AH, Ng'weshemi JZL, Muro AS, Gabone R, Borgdorff MW. HIV incidence and HIV-associated mortality in a cohort of factory workers and their spouses in Tanzania, 1991 through 1996. J Acquir Immune Defic Syndr 2000; 23:194–202.
59. Kilian AHD, Gregson S, Ndyanabangi B, Walusaga K, Kipp W, Sahlmuller G, et al
. Reductions in risk behaviour provide the most consistent explanation for declining HIV-1 prevalence in Uganda. AIDS 1999; 13:391–398.
60. Fylkesnes K, Musonda RM, Sichone M, Ndhlovu Z, Tembo F, Monze M. Declining HIV prevalence and risk behaviours in Zambia: evidence from surveillance and population-based surveys. AIDS 2001; 15:907–916.
61. Fylkesnes K, Ndhlovu Z, Kasumba K, Musonda RM, Sichone M. Studying dynamics of the HIV epidemic: population-based data compared with sentinel surveillance in Zambia. AIDS 1998; 12:1227–1234.
62. Fortson JG. The gradient in sub-Saharan Africa: socioeconomic status and HIV/AIDS. Demography 2008; 45:303–322.
63. Abebe Y, Ab S, Mamo G, Negussie A, Darimo B, Wolday D, Sanders EJ. HIV prevalence in 72,000 urban and rural male army recruits, Ethiopia. AIDS 2003; 17:1835–1840.
64. de Walque D, Nakiyingi-Miiro JS, Busingye J, Whitworth JA. Changing association between schooling levels and HIV-1 infection over 11 years in a rural population cohort in south-west Uganda. Trop Med Int Health 2005; 10:993–1001.
65. Wilkins A, Hayes R, Alonso P, Baldeh S, Berry N, Cham K, et al
. Risk factors for HIV-2 infection in the Gambia. AIDS 1991; 5:1127–1132.
66. Fontanet AL, Woldemichael T, Sahlu T, van Dam GJ, Messele T, de Wit TR, et al
. Epidemiology of HIV and Schistosoma mansoni infections among sugar-estate residents in Ethiopia. Ann Trop Med Parasitol 2000; 94:145–155.
67. Hargreaves JR, Glynn JR. Educational attainment and HIV-1 infection in developing countries: a systematic review. Trop Med Int Health 2002; 7:489–498.
68. Michelo C, Sandøy IF, Dzekedzeke K, Siziya S, Fylkesnes K. Steep HIV prevalence declines among young people in selected Zambian communities: population-based observations (1995–2003). BMC Public Health 2006; 6:279–290.
69. de Walque D. How does the impact of an HIV/AIDS information campaign vary with educational attainment? Evidence from rural Uganda. Washington, DC: World Bank, Development Research Group; 2002.
70. Stoneburner RL, Low-Beer D. Population-level HIV declines and behavioral risk avoidance in Uganda. Science 2004; 304:714–718.
71. Kelly R, Kiwanuka N, Wawer MJ, Serwadda D, Sewankambo NK, Wabwire-Mangen F, et al
. Age of male circumcision and risk of prevalent HIV infection in rural Uganda. AIDS 1999; 13:399–405.
72. Crampin AC, Glynn JR, Ngwira BMM, Mwaungulu FD, Ponnighaus JM, Warndorff DK, Fine PEM. Trends and measurement of HIV prevalence in northern Malawi. AIDS 2003; 17:1817–1825.
73. Taha TE, Dallabetta GA, Hoover DR, Chiphangwi JD, Mtimavalye LAR, Liomba GN, et al
. Trends of HIV-1 and sexually transmitted diseases among pregnant and postpartum women
in urban Malawi. AIDS 1998; 12:197–203.
74. Kwesigabo G, Killewo J, Godoy C, Urassa W, Mbena E, Mhalu F, et al
. Decline in the prevalence of HIV-1 infection in young women
in the Kagera region of Tanzania. J Acquir Immune Defic Syndr Human Retrovirol 1998; 17:262–268.
75. Bärnighausen T, Hosegood V, Timaeus I, Newell ML. The socioeconomic determinants of HIV incidence: evidence from a longitudinal, population-based study in rural South Africa. AIDS 2007; 21(Suppl. 7):S29–S38.
76. Brent RJ. A cost–benefit analysis of female primary education
as a means of reducing HIV/AIDS in Tanzania. Applied Economics
2005; in press.
77. Vandemoortele J, Delamonica E. Education
“vaccine” against HIV/AIDS. Curr Issues Comp Educ 2000; 3:6–13.
78. UNESCO. Education for all global monitoring report 2008: education for all by 2015: will we make it
? Paris: UNESCO; 2008.
79. Shisana O, Peltzer K, Zungu-Dirwayi N, Louw JS. The health of our educators: a focus on HIV/AIDS in South African public schools, 2004/5 survey
. Cape Town, South Africa: HSRC Press; 2005.
80. Risley C, Bundy D. Estimating the impact of HIV and AIDS on the supply of basic education
. Geneva, Switzerland: UNAIDS/World Bank Economics Reference Group; 2007.
81. Partnership for Child Development. Accelerating the education sector response to HIV and AIDS: five years on 2002–2007
. London: Partnership for Child Development; 2008.
82. Gallant M, Maticka-Tyndale E. School-based HIV prevention programmes for African youth. Soc Sci Med 2004; 58:1337–1351.
83. Kinsman J, Nakiyingi J, Kamali A, Carpenter L, Quigley M, Pool R, Whitworth J. Evaluation of a comprehensive school-based AIDS education
programme in rural Masaka, Uganda. Health Educ Res 2001; 16:85–100.
84. Harvey B, Stuart J, Swan T. Evaluation of a drama-in-education
programme to increase AIDS awareness in South African high schools: a randomized community intervention trial. Int J STD AIDS 2000; 11:105–111.
85. Fitzgerald AM, Stanton BF, Terreri N, Shipena H, Li XM, Kahihuata J, et al
. Use of western-based HIV risk-reduction interventions targeting adolescents in an African setting. J Adolesc Health 1999; 25:52–61.
86. Klepp KI, Ndeki SS, Seha AM, Hannan P, Lyimo BA, Msuya MH, et al
. AIDS education
for primary school children in Tanzania: an evaluation study. AIDS 1994; 8:1157–1162.
87. Klepp KI, Ndeki SS, Leshabari MT, Hannan PJ, Lyimo BA. AIDS education
in Tanzania: promoting risk reduction among primary school children. Am J Public Health 1997; 87:1931–1936.
88. Stanton BF, Li XM, Kahihuata J, Fitzgerald AM, Neumbo S, Kanduuombe G, et al
. Increased protected sex and abstinence among Namibian youth following a HIV risk-reduction intervention: a randomized, longitudinal study. AIDS 1998; 12:2473–2480.
89. Shuey DA, Babishangire BB, Omiat S, Bangarukayo H. Increased sexual abstinence among in-school adolescents as a result of school health education
in Soroti district, Uganda. Health Educ Res 1999; 14:411–419.
90. Kuhn L, Steinberg M, Matthews C. Participation of the school community in AIDS education
: an evaluation of a high school programme in South Africa. AIDS Care 1994; 6:161–171.
91. Maticka-Tyndale E, Wildish J, Gichuru M. Quasi-experimental evaluation of a national primary school HIV intervention in Kenya. Eval Program Plann 2007; 30:172–186.
92. James S, Reddy P, Ruiter RAC, McCauley A, van den Borne B. The impact of an HIV and AIDS life skills program on secondary school students in Kwazulu-Natal, South Africa. AIDS Educ Prev 2006; 18:281–294.
93. Kirby D, Laris BA, Rolleri L. Sex and HIV education
programs for youth: their impact and important characteristics. Scotts Valley, CA: ETR Associates; 2006.
94. Ross DA, Changalucha J, Obasi AIN, Todd J, Plummer ML, Cleophas-Mazige B, et al
. Biological and behavioural impact of an adolescent sexual health intervention in Tanzania: a community-randomized trial. AIDS 2007; 21:1943–1955.
95. Daftary A, Padayatchi N, Padilla M. HIV testing and disclosure: a qualitative analysis of TB patients in South Africa. AIDS Care 2007; 19:572–577.
96. Pridmore P. Access to conventional schooling for children and young people affected by HIV and AIDS in sub-Saharan Africa: a cross-national review of recent research evidence. London: SOFIE: Institute of Education
, University of London; 2008.
97. UNICEF. Africa's orphaned and vulnerable generations: children affected by AIDS
. New York: UNICEF; 2006.
98. Robson S, Sylvester KB. Orphaned and vulnerable children in Zambia: the impact of the HIV/AIDS epidemic on basic education
for children at risk. Educ Res 2007; 49:259–272.
99. Boler T, Carroll K. Addressing the educational needs of orphans and vulnerable children
. London: ActionAid International and Save the Children Fund; 2005.
100. Hutchinson PL, Mahlalela X. Utilization of voluntary counseling and testing services in the eastern Cape, South Africa. AIDS Care 2006; 18:446–455.
101. Jukes MCH, Drake LJ, Bundy DAP. School health, nutrition and education for all: levelling the playing field
. Wallingford, UK; Cambridge, MA: CABI Publishing; 2008.
for All Fast Track Initiative. Accelerating progress towards quality universal primary education
. Washington, DC: World Bank, 2004.
103. WHO, UNAIDS. Steady … ready … GO! The Talloires consultation to review the evidence for policies and programmes to achieve the global goals on young people and HIV/AIDS
. Geneva: WHO Department of Child and Adolescent Health and Development; 2004.