Overall, considerable HIV prevalence has not been documented among FSWs in MENA. The highest prevalence is reported in Djibouti at up to 20.0% in facility-based surveys in 2007–2009 . Concentrated HIV epidemics among FSWs are found in at least parts of Libya, Morocco, Somalia, and Sudan (Tables 1 and 2). In Eastern Sudan, 5.0 and 7.8% of FSWs in two cities were found to be infected with HIV [25▪]; and in Tripoli, Libya, 15.7% were infected . The region, however, does not appear to have witnessed rapidly growing HIV epidemics among FSWs, and in several countries, the epidemic among FSWs appears to be stable at relatively low prevalence. In Morocco, and despite a concentrated epidemic in Agadir , the epidemic seems to be hovering around a national prevalence of only about 2% for over a decade .
Despite the overall relatively low HIV prevalence among FSWs, commercial heterosexual sex networks appear to be a main driver of HIV incidence in at least few countries, probably because of the larger size of these networks compared with PWID and MSM networks. In Morocco, as confirmed by a recent HIV Modes of Transmission (MoT) modeling analysis, commercial heterosexual sex networks contributed about half of HIV incidence despite a rather low HIV prevalence among FSWs of about 2% [29▪].
For several countries, it is not clear how much of the observed HIV prevalence among FSWs truly reflects acquisition through heterosexual sex versus acquisition through injecting drug use. This situation is specifically the case in countries with large epidemics among PWID. In Iran, about 15% of FSWs reported injecting drugs , and these were over three times more likely to be HIV infected compared with FSWs who never injected drugs . It is plausible that most of HIV infections among FSWs in Iran could be due to drug injection rather than sexual transmission.
For a considerable fraction of MENA countries, recent data affirm very low HIV prevalence among FSWs as consistently observed in Afghanistan, Egypt, Jordan, Lebanon, Pakistan, Tunisia, and Yemen (Tables 1 and 2).
Heterogeneity in key populations at risk affected
There is large heterogeneity across countries as to which key populations are proportionally affected by the epidemic, as opposed to others (Table 2). Most HIV transmissions in Iran and Pakistan appear to be driven by the large HIV epidemics among PWID in these countries [9▪,31]. This situation is, however, not the case in Lebanon and Tunisia where HIV transmission among MSM seems to be dominant . Similarly, substantial HIV prevalence is found among FSWs in Djibouti and probably Somalia, but generally this is not the case in other MENA countries.
There seems to be some instances of regionalization of the key populations affected, with neighboring countries being affected by similar epidemic dynamics. Large HIV epidemics are found among PWID in the three neighboring countries of Iran, Pakistan, and Afghanistan [9▪]. Similarities in viral subtypes between these countries suggest circulation of the virus across national borders following the drug trade routes in this part of MENA [10,32,33]. The epidemic that started in Iran may have moved from there to Pakistan and Afghanistan. It is believed that HIV might have been introduced to PWID in Afghanistan through the return of Afghani refugees from Iran following the fall of Taliban [10,32].
In addition to the heterogeneity on which key populations are proportionally affected, it seems that epidemic transmission in a number of countries is largely driven by only one key population, at least so far. The epidemic in Lebanon appears to be largely confined to MSM; and in Afghanistan and Iran to PWID (Table 2). This situation might be due to the rather recent nature of the epidemics in these countries where HIV infection has not yet been bridged and percolated among other key populations.
In other countries, however, the epidemic has already affected more than one key population, with the epidemic usually starting in one key population and then moving to other ones through overlapping risk behavior. This situation appears to be the case of Pakistan and Egypt. In Pakistan, the HIV epidemic among male sex workers and transgender people has closely followed the emergence of the epidemic among PWID [9▪,11–14,15▪]. Behavioral data confirmed the overlap of risk behavior with a sizable proportion of male sex workers and transgender people being PWID themselves or having PWID sexual partners [9▪,11–14,15▪]. Molecular epidemiology evidence has also linked the HIV virus subtype among PWID in Pakistan to that among MSM suggesting that the epidemic among MSM could have been sparked by the epidemic among PWID . A similar pattern, but in the opposite direction, may have occurred in Egypt, where the nascent HIV epidemic among PWID seems to have been bridged from the epidemic that occurred earlier among MSM [9▪]. This conjecture is supported by behavioral data that indicate considerable overlap of risk behavior between MSM and PWID in Egypt [16–18].
Geographic clustering of HIV epidemics
Recent data suggest within-country geographic heterogeneity in HIV transmission. In some cases, a key population in only one locality appears to be affected by the epidemic, and in other cases, different geographic regions are affected by different key populations epidemics. Morocco provides an example where the epidemic among PWID appears to be localized in Northern Morocco, and specially in Nador with a high HIV prevalence of 25.1% [28,34]. Evidence to date suggests limited HIV infection burden among PWID in the rest of the country. Nonetheless, HIV sexual transmission is focused in the South of the country, specially in Agadir where concentrated HIV epidemics among FSWs and MSM are found. HIV prevalence in Agadir was found to be 5.1% among FSWs  and 5.6% among MSM [35,36].
Sudan provides another example of geographic disparities in HIV prevalence among FSWs. In a large-scale national survey conducted in 2011, concentrated HIV epidemics among FSWs were observed in Eastern Sudan (HIV prevalence 5.0–7.7%), whereas limited infection burden was detected in the other zones (HIV prevalence 0.0–1.5%) [25▪]. Heterogeneity in transmission is observed in other MENA countries, but may not always reflect true heterogeneity as much as incomplete national HIV surveillance.
The spatial heterogeneity in HIV transmission may be explained by the recent nature of the epidemics in MENA, and the fact that many are growing. HIV infection may have affected one key population at a specific location, but may not have yet reached the same key population in other parts of the country.
HIV EPIDEMICS IN MIDDLE EAST AND NORTH AFRICA: CHALLENGES TO OUR UNDERSTANDING
We discuss below key aspects that challenge a satisfactory understanding of the epidemic in this region.
Hidden HIV epidemics
Identifying hidden HIV epidemics among key populations remains a long-standing challenge for HIV research and programming in MENA. On the basis of a recent assessment, only four out of 23 MENA countries qualified as having functioning surveillance systems capable of tracking emerging HIV epidemics [3▪]. Previous experience in the region has shown that there are hidden HIV epidemics that are discovered only after IBBSS studies are conducted; sometimes too late as HIV prevalence would have reached high and even alarming levels. The first IBBSS in Libya was conducted in 2010–2011, unveiling a major epidemic among PWID with a prevalence of 87.2%, one of the highest globally [22▪]. The prevalence of 25.1% among PWID in Nador, Morocco was also discovered for the first time in 2008 in an IBBSS [28,34,37]. Similarly, the first IBBSS studies conducted among MSM in Egypt and Tunisia identified already concentrated epidemics with a prevalence exceeding 5% [16–18,23,24]. These discoveries of hitherto hidden epidemics were unsettling to some authorities after years in which the importance of a focus on HIV prevention among key populations was not recognized.
In several MENA countries including Algeria, Bahrain, Iraq, Kuwait, Oman, Qatar, Saudi Arabia, Syria, and United Arab Emirates, data are scarce. The status of the epidemic remains largely unknown, not precluding the possibility of hidden epidemics. This situation is especially the case wherein case notifications suggest increasing contribution of a specific mode of exposure among recently notified HIV cases such as among MSM in Oman and Syria and PWID in Saudi Arabia (Fig. 3).
Poor estimation of HIV disease burden
MENA suffers overall from poor estimation of its HIV disease burden. Estimates in the region are typically produced by national authorities working with the Joint United Nations Programme on HIV/AIDS (UNAIDS), through application of established mathematical models used in other regions. However, the nature and volume of data in MENA are not yet conducive for a representative application of these models. The models have often been parameterized by poor data input leading in occasions to questionable estimates. Even when the estimates seemed plausible, they usually came with wide confidence intervals.
The quality of disease burden estimates can be improved by further primary data collection among key populations including IBBSS and risk group size estimations. Custom-designed mathematical models may be appropriate for some countries given the nature of available data. Although countries overall have inadequate data to power concrete estimates by UNAIDS models, there are sources of data available that have not been commonly used, but could be utilized within the context of custom-designed models. Examples of these include HIV-testing databases and case notifications.
Apparently contradictory data
The recent progress in HIV research in MENA has entailed a wider availability of different types of data sources using different lines of evidence and study methodologies. The wider data availability have confronted HIV stakeholders with a new challenge: reconciling apparently contradictory data. For example, in Tunisia, case notifications attribute 87% of HIV cases in 2011 to heterosexual sex with small contribution due to MSM (Fig. 3). The IBBSS studies, however, identified limited HIV prevalence among FSWs (0.0–1.2%), but high prevalence of up to 16.0% among MSM (Table 1) . It is not clear why the large HIV prevalence among MSM is not expressed as a larger share of case notifications. It is also not clear how these heterosexual notified cases have been acquired if there does not appear to be a significant core of HIV transmission among commercial heterosexual sex networks. This apparent contradiction was even compounded with the findings of the MoT modeling study in Tunisia, which linked the bulk of HIV incidence to MSM .
Similarly, case notification data suggest the presence of considerable HIV transmission among MSM in Jordan and Lebanon (Fig. 3); a fact supported by anecdotal evidence conveyed by HIV stakeholders in these countries. Yet, in both countries, recent IBBSS studies reported limited HIV prevalence among MSM with most cases in the surveys being HIV-infected seeds in the respondent-driven sampling (Table 1) [24,38,39].
Some of these contradictions may be explained by the limitations in available data. Some forms of exposure may not be reported accurately in case notifications, such as those related to MSM. Some of the IBBSS studies may have sampled only a ‘visible’ part of the key population, and may not have reached deeply into key population networks. Their findings, therefore, may not be representative of the wider population of key populations.
Although limitations in available data may explain, in part, some of these contradictions, we believe, based on the totality of available evidence, that much of these contradictions are paradoxes that reflect our incomplete understanding of HIV dynamics in some of the MENA countries. For example, size estimations of key populations are far from being adequate, and their scale may explain some of these contradictions. There is also a flow of HIV infections through national borders through in-migration and out-migration, and understanding this flow may help explain some contradictions. With further data accumulating over the coming years, these apparently contradictory data may be seen as merely accurate ‘still images’ of a more subtle and complex dynamics of infection transmission.
A volume of data on HIV infection in MENA has become available in the last few years, although for a number of countries data remain limited. The key features of the epidemic gleaned from these novel data indicate growing, and in occasions, rapidly growing, HIV epidemics among key populations across the region. These findings are indicative of a rising HIV disease burden in this part of the globe, in contrast with the declining HIV epidemics in most other regions.
The authors thank Hiam Chemaitelly for her helpful input.
This publication was made possible by NPRP grant number 4-924-3-251 from the Qatar National Research Fund (a member of Qatar Foundation). Support was provided by the Biostatistics, Epidemiology, and Biomathematics Research Core at the Weill Cornell Medical College in Qatar. The authors are also grateful to the World Bank, the MENA Regional Support Team (RST) of the Joint United Nations Programme on HIV/AIDS (UNAIDS), and the Eastern Mediterranean Regional Office (EMRO) of the World Health Organization (WHO) for their help and for supporting the initial phase of this work through the MENA HIV/AIDS Epidemiology Synthesis Project. The statements made herein are solely the responsibility of the authors.
Conflicts of interest
There are no conflicts of interest.
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Keywords:Copyright © 2014 Wolters Kluwer Health, Inc. All rights reserved.
emerging epidemic; epidemiology; HIV; Middle East and North Africa