Bloodborne HIV: Don't Get Stuck!

Protect yourself from bloodborne HIV during healthcare and cosmetic services

Tag Archives: hospital transmitted HIV

UNAIDS, Beckham and Sidibe: Right Words; Wrong Oriface


Every year, more than 1.5 million people are newly infected with HIV, the vast majority of them black Africans, with a lot more women than men being infected. Meanwhile, UNAIDS continues to insist that the virus is spread almost entirely through ‘unsafe’ sexual behavior in African countries, though nowhere else in the world. HIV via unsafe healthcare, they insist, almost never happens in countries with the worst healthcare systems in the world.

The institutional racism and sexism exemplified by UNAIDS, the broader UN, the World Bank, charitable foundations and other parties results in huge levels of transmission of a virus that is difficult to transmit through heterosexual sex; transmission through unsafe healthcare remains completely ignored, even denied, by what has become a massive HIV industry.

These institutionally racist and sexist stances also result in the implication that most of the people infected with HIV are highly ‘promiscuous’, careless, uncaring, stupid, and whatever other negative qualities the media happens to have been fed about HIV positive Africans at any given time.

There is no mainstream media coverage of these instances of institutional racism and sexism, no online campaigns to have UNAIDS abolished, no celebrity photo shoots with publicity obsessed naifs being paraded before an adoring (or despising) public, no newspaper articles, neither tabloid nor broadsheet.

Where are the academic articles by those whose entire time is spent, allegedly, examining and analyzing such phenomena and advising those putting together policies that should go towards reducing the transmission of serious diseases like HIV? Which academics are condemning the institutional racism and sexism that has continued, unabated, since HIV became a lucrative headline-grabbing disease in the late 1980s?

There’s plenty of media coverage of some ex-singer that UNAIDS hoped could belt out a few well rehearsed lines in front of a camera (and a sneering Michel Sidibe). A child actress did a better job of memorizing and spewing out the right lines and buzzwords, with the right facial expressions and body language, so she got some publicity too.

An exhibition that sounded (to some) like it would ‘insult’ black people, even though most of the people taking part in it were black South Africans, was banned because a few people managed to drum up a crowd of ‘insulted’ people who had never seen the exhibition. Though insulted by something they had never seen, they remain uninsulted by the continued treatment of black Africans as sex obsessed disease vectors; protestors scream about ‘objectification’, but fail to recognize it in the flesh.

Ultimately, what Victoria Beckham was saying was no more ridiculous than what UNAIDS and other institutions repeat endlessly. She’s just not very good at UN-speak; her mentors haven’t worked on her hard enough; give it time and she too will be able to trott out the same bullshit as the smirking head of UNAIDS does.

No one was infected with HIV by Beckham’s speech and, unlike the usual UNAIDS blather, it wasn’t even articulate enough to be considered racist or sexist. No black people were injured by an exhibition that never happened at the Barbican. The only ones insulted will be the ones who were told that the event was far too shocking for their poor delicate little selves. The truth, clearly, is far too dangerous for ordinary people to handle. Nice to know that the notion of a ‘protectorate’ has not died out completely.

UNAIDS’ Garbage In Garbage Out Strategy Found Fit For Purpose


Although a Journal of the International AIDS Society (JIAS) paper, which ostensibly analyses Modes of Transmission (MoT) data and reports, has been through some kind of peer review process, the term ‘systematic’ in the title is misleading. In fact the review is highly selective. The phenomena of HIV infection through unsafe healthcare, traditional and cosmetic practices have been left out completely. This is despite the ready availability of relevant and up to date papers about these phenomena.

The Don’t Get Stuck With HIV website is a repository for many relevant materials. David Gisselquist also made a paper available last year that they have completely ignored, entitled ‘UNAIDS’ Modes of Transmission Model Misinforms HIV Prevention Efforts in Africa’s Generalized Epidemics‘. The bibliography therein should be very useful for anyone who wishes to carry out a systematic review in the future.

The JIAS study mentions recommendations from a 2012 set of guidelines produced by an MoT ‘study group’ and one of them recommends to “Adopt a bottom-up approach, that is, an approach that ensures that sufficient data is available to parameterize the model before making changes to tailor the MOT to more finely represent the local setting”.

The fact that no data has ever been collected by MoT studies for non-sexual HIV transmission may explain why such modes of transmission are ignored by the JIAS study. But it doesn’t explain why non-sexual transmission receives so little attention in the HIV literature as a whole, aside from peremptory denial of its existence.

Gisselquist recently pointed out some of the most glaring flaws in the MoT methodology in a brief blog post. But even the JIAS paper itself unearths some remaining flaws that make one wonder why such a weak and fragile tool should still be used after about a decade of demonstrations of its uselessness.

Ironically, MoT tools were supposed to contribute to UNAIDS’ ‘Know Your Epidemic, Know Your Response’ strategy. This strategy, like all UNAIDS strategies, is based on the assumption that almost all HIV transmission in African countries is a result of heterosexual transmission. That means that the majority of people in high prevalence countries are said to be ‘at risk’, either of becoming infected or of infecting others. So every African HIV epidemic looks pretty much the same to UNAIDS because of the built in assumptions of their various ‘tools’.

Therefore, a strategy for ‘targeting’ those most at risk ends up not targeting anyone; HIV interventions must aim to cover entire populations. Aside from being a waste of money and time, as well as stigmatizing the most affected populations, UNAIDS have failed to account for the bulk of transmissions in high prevalence countries. The two decade old, phenomenally expensive institution throws up its hands and says that the majority of people at risk of being infected are people who fall into ‘low risk’ categories.

Despite scratching the surface of the Modes of Transmission Model and finding that that’s all there is to it, the JIAS paper concludes that some aspects of it need to be ‘revised’. Which is even more misleading than calling the paper a ‘systematic’ review. But if UNAIDS have achieved anything in the last two decades it is in showing that a garbage in garbage out strategy really does work, and may continue to attract funding for another 20 years, at least. I wonder how many of the authors of the paper will end up working for UNAIDS, if they haven’t already done so.

Absurd and stigmatizing estimates about how most adults in Malawi get HIV


The WHO and UNAIDS promote their Modes of Transmission model[1] to estimate numbers of HIV infections that adults get from various risks. The model has a simple mistake in its design – causing anyone who uses it to overlook crucial data on HIV in married couples and leading thereby to grossly inflated estimates of numbers of HIV infections acquired from spouses.[2,3]

Several experts recently used WHO’s and UNAIDS’s Modes of Transmission model to identify important risks in Malawi’s HIV epidemic. Their published results[4] provide another illustration of ridiculous, stigmatizing, and anti-family estimates produced by the model. Here’s the gist of what they conclude: Infections from spouses account for 81% of new HIV infections in Malawi (76,688 out of an estimated total of 94,455 infections; see Table).

Simple logic says this is absurd, even without looking at any evidence or data: The number of people getting HIV from their spouses cannot exceed the number of spouses bringing HIV into their families (from any source, such as unsafe health care or non-spousal sex partner). This is logically necessary year-by-year in an epidemic, such as Malawi’s, that has been more or less stable over time. Furthermore, a large percentage of people who are married and HIV-positive die without ever infecting their spouses. So the number of new infections coming from spouses will be much less than half of all new infections.

But that’s not what the model says. Where’s the problem?

The model starts out OK: Using data for 2007, the model finds 2,095,000 married men and 2,497,000 married women (roughly 20% of women were in polygamous marriages).[4] Next, using data from Malawi’s 2004 national Demographic and Health Survey,[5] the model recognizes that more than 10% of married men and women were HIV-positive. So far so good.

But then the model falls off the rails. It assumes that almost all HIV-positive married adults were a risk to infect their spouses. This ignores the well-documented fact that many people who are married and HIV-positive have partners who are also HIV-positive – no one is going to infect anyone in such couples. According to the same 2004 national survey, only 4% of married men in Malawi were at risk to get HIV from their wives (that is, 4% were HIV-negative with an HIV-positive wife), and only 5.7% of married women were at risk to get HIV from their husbands.

Table 1: Estimated number of HIV infections acquired from spouses

Model, risk category for married adults Number of married men Number of married women Model’s estimated number of infections from spouses
Estimates from the Modes of Transmission model (see reference 4)
People who are mutually monogamous 882,000 1,284,000 34,673
Married people who have casual partners 589,000 222,000
People whose spouses have casual partners 222,000 589,000 25,023
Clients of sex worker and wives of such men 388,000 388,000 16,978
 Men who have sex with men and wives of such men 14,000 14,000 14
Total married adults and total estimated infections from spouses according to the Modes of Transmission model 2,095,000 2,497,000 76,688
Alternate estimate recognizing that most HIV-positive married adults have HIV-positive spouses
Total married adults (from Modes of Transmission model) 2,095,000 2,497,000
Married and at risk to get HIV from a spouse (4% of married men, 5.7% of married women; see table12.10 in reference 5) 84,000 142,000
Estimated new infections (assuming a 6.6% annual rate of HIV transmission from wives to husbands and 9.9% from husbands to wives; see reference 2) 5,500 13,500 19,000

Thus, only 226,000 married adults (4% of husbands and 5.7% of wives) were at risk to get HIV from their spouses (see next to last row in the Table). How many of these 226,000 will get HIV from their spouses in a year? During the 1990s, 5 studies in Africa followed discordant couples (only one spouse HIV-positive) to watch HIV transmission from one to the other – distressingly, these studies did not routinely warn participants that they or their partner was infected. With few couples taking care to avoid transmission, 6.6% of HIV-positive wives infected husbands in a year, and 9.5% of HIV-positive husbands infected wives in a year (these rates are from a recent review [2]). With these rates of transmission, 226,000 HIV-positive married men and women in Malawi infected an estimated 19,000 spouses in 2007 – only 20% of the estimated 94,454 new HIV infections in Malawi in 2007.

The Modes of Transmission model’s gross and logically absurd overestimate of numbers of HIV infections from spouses is not harmless. Consider these damaging consequences:

1. Diverting attention from HIV risk in unsafe health care: If sex in marriage accounts for only 20% of new HIV infections instead of 81% as estimated by the Modes of Transmission model, then most infections need to be explained by other risks. What are those other risks? The Modes of Transmission model estimates that all non-spousal sex – casual, commercial, and male-male sex – accounts for a combined total of only 18% of infections. If all sexual risks account for only 38% of infections – 20% from spouses and 18% from other sex partners – what non-sexual risks account for the remaining 62% of infections? The Modes of Transmission model avoids this question by grossly overestimating numbers of HIV infections from spouses.

2. Stigmatizing HIV-positive adults: The estimate produced by the Modes of Transmission model – that sex accounts for more than 99% of HIV infections among adults – stigmatizes all HIV-positive adults with the charge they got it from sex. Publishing such estimates contributes to what could be considered a form of sexual abuse – spouses, relatives, and others accusing people of sexual behavior for which there is no evidence. The estimate coincides with racist stereotypes of sexual behavior, which protect it from critical review.

3. Undermining families: Stigmatizing all HIV-positive adults with the charge they got if from sex breeds suspicion among married adults when one or both learn they and/or their partner are HIV-positive. Lack of trust between spouses weakens families and harms children.

The motivation for such misinformation may be traced to a conflict of interest common among health care professionals – who do not want people to know that unsafe health care contributes to Africa’s HIV epidemics. Rather than admitting the obvious (and doing something about it), health care professionals have been blaming victims, insinuating that almost all African adults with HIV got it from sex. The Modes of Transmission model is part of that stigmatizing and racist smear.

References

1. UNAIDS. Modes of Transmission spreadsheet. Geneva: UNAIDS, 2012. Available at: http://www.unaids.org/en/dataanalysis/datatools/incidencebymodesoftransmission/ (accessed 24 April 2014).

2. Gisselquist D. UNAIDS’ Modes of Transmission model misinforms HIV prevention efforts in Africa’s generalized epidemics. Social Science Research Network, 24 August 2013. Available at: http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2315554 (accessed 24 April 2014).

3. Gisselquist D. Misinformation from UNAIDS’ flawed Modes of Transmission model. dontgetstuck, 14 September 2013. Available at: https://dontgetstuck.wordpress.com/2013/09/14/misinformation-from-unaids-flawed-modes-of-transmission-model/ (accessed 24 April 2014).

4. Maleta K, Bowie C. Selecting HIV infection prevention interventions in the mature HIV epidemic in Malawi using the mode of transmission model. BMC Health Services Research 2010; 10: 243. Available at: http://www.biomedcentral.com/content/pdf/1472-6963-10-243.pdf (accessed 22 April 2014). At the end of this article, see the link to Additional file 1: Data sources used to populate the Mode of Transmission model – Malawi 2007.

5. ORC Macro. Malawi Demographic and Health Survey 2004. Calverton: ORC Macro, 2005. Available at: http://dhsprogram.com/pubs/pdf/FR175/FR-175-MW04.pdf (accessed 26 April 2014).

Avoidable HIV Infection Ignored Because of Refusal to Accept Non-Sexual Transmission


Continuing the theme of my last post, but this time using the 2011 National Antenatal Sentinel HIV & Syphilis Prevalence Survey in South Africa, I again wonder why authors of such reports insist that HIV is almost always transmitted through ‘unsafe’ sexual behavior and fail to say anything about non-sexual modes of transmission.

Disturbingly, the authors note that the “the 2011 report has shown beyond reasonable doubt that there is no significant correlation between HIV and Treponema palladium, the etiological agent for active syphilis, as co-factor for HIV infection.In the 2012 survey we have started to pilot monitoring of Herpes type 2, HHV2, which usually causes genital herpes and is transmitted primarily by direct contact with sores, most often during sexual contact.” This sentiment is echoed on three further occasions in the document.

Rather than suspecting that HIV may sometimes be transmitted through non-sexual routes, such as unsafe healthcare, unsafe cosmetic practices or unsafe traditional practices, they are looking for another sexually transmitted infection to ‘correlate’ with HIV. Why? Or, better still, why not investigate non-sexual routes? There’s plenty of evidence.

South Africa is not the only country to survey syphilis prevalence along with HIV prevalence. Uganda and Zambia also do so, with similar results. Below are radar graphs for all three countries, showing that if syphilis is a proxy for unsafe sexual behavior, HIV does not resemble syphilis very much. This is no surprise, but data continues to be collected and analyzed, before concluding that there is little or no correlation.

South Africa

HIV and Syphilis in South Africa

Uganda

HIV and Syphilis in Uganda

Zambia

HIV and Syphilis in Zambia

How many more years are to be wasted pretending that HIV is almost always transmitted through sexual behavior in high HIV prevalence African countries, but nowhere else? People in high HIV prevalence countries need to be made aware of the non-sexual risks they face. Health facilities, cosmetic facilities and other sites where HIV may be transmitted through contaminated blood or other bodily fluids also need to be made safer. Failing to address lack of knowledge and unsafe non-sexual practices results in an as yet unestimated number of people becoming infected with HIV; these infections are all avoidable.

South African National HIV Survey Betrays Those Facing Non-Sexual Risks


The latest South African National HIV Prevalence, Incidence and Behaviour Survey, 2012 was released recently. Much of the media coverage concentrated on things like the worrying increase in HIV prevalence compared to the last survey, which was carried out in 2008, said to be the combined result of new infections and a big increase in the number of people living longer with HIV as a result of being on antiretroviral therapy.

The report is a useful document, as far as it goes. But there isn’t even a hint that several non-sexual modes of HIV transmission could be contributing to the worst HIV epidemic in the world (in terms of number of people living with HIV, 6.4 million). This is a lot more worrying than the increase in prevalence, because failing to address non-sexual modes of transmission will result in people continuing to be infected through unsafe healthcare, unsafe cosmetic practices and unsafe traditional practices.

Underlining the clear assumption that almost all HIV transmission is a result of unsafe sexual behavior, there is a lot of attention paid to mass male circumcision programs. These are not going so well in South Africa because the majority of circumcised people chose this as a tribal rite, not because they had been hoodwinked into believing that it would save them from various diseases, HIV just being one of them. But the report fails to stress that this means most circumcised males in South Africa faced a far higher risk of being infected with a number of diseases by being circumcised in unsterile conditions.

The report also agonizes over the usual ‘behavioral determinants of HIV’, such as early sexual debut (a minority of males and females become sexually active at a young age, the vast majority don’t), ‘intergenerational’ sex (a minority, about a fifth of females do, most males don’t and this issue has been questioned recently), multiple sexual partners (also a minority do this, more males than females, although HIV prevalence is far higher among females) and condom use (increasing, but probably too low to have much impact on transmission).

However, simply ignoring the possible significance of how people respond to questions is the most arrogant, and probably the most dangerous aspect of the report. There is a list of reasons people gave for believing they would not contract HIV and a few from this list were cited in the media, triumphantly, because some people who thought they would not contract the virus were already infected. Here’s the list, with the number of people giving the response and the percentage:

Reasons for belief one would not contract HIV – number and % of cases

I have never had sex before 21,150, 11.0
I abstain from sex 21,147, 21.3
I am faithful to my partner 21,144, 32.0
I trust my partner 21,149, 22.5
I use condoms 21,146, 19.2
I know my HIV status 21,136, 9.8
I know the status of my partner 21,134, 4.4
I do not have sex with sex workers/prostitutes 21,112, 1.7
My ancestors protect me 21,070, 1.1
God protects me 21,142, 2.5
I am not at risk for HIV 21,151, 8.9
Other 21,142, 10.4

Do those carrying out the survey never, for one moment, suspect that some people might be telling the truth? Some people who have never had sex before are being told for the first time that they are HIV positive, and that it’s almost certain they were infected through some kind of unsafe sex. What efforts are made to find out how they were infected? What about those who are faithful to their partner? Is their partner tested?

The authors of the report seem to relish the term ‘evidence-based’ when referring to various different ‘interventions’ that are expected to reduce HIV transmission; when these interventions appear to fail, those who become infected, or who give inconvenient answers to survey questions, are blamed for their ‘sexual behavior’. If the researchers don’t even check how people become infected, in what way are the interventions evidence-based? If people are not believed when the answers don’t suit the researchers, why should we accept other parts of the report where the answers are in line with what the researchers expect to hear?

Assuming that HIV is almost always transmitted through ‘unsafe’ sexual behavior, regardless of all the indications that it is also transmitted through unsafe healthcare, cosmetic or traditional practices, is a betrayal of HIV positive people; it is also a betrayal of those who still risk becoming infected through such routes. These non-sexual routes urgently need to be addressed by investigating and cleaning up health centers, salons and other potential locations, and by warning patients about the dangers of being exposed to the blood and bodily fluids of other people.

Keep HIV Prevalence Low in Burundi with Safe, Accessible Healthcare


A recent newspaper article on Burundi refers to the country’s failure to achieve a Millennium Development Goal (MDG) to get “HIV prevalence to zero by 2015”. This is not an MDG and is a confusion with one of UNAIDS’ slogans, which goes ‘zero new infections, zero AIDS-related deaths and zero discrimination’.

The journalist continues “One of the reasons for this [failure] is an unequal access to quality healthcare and prevention services for high-risk groups in Burundi.” One of the consequences of UNAIDS’ insistance that HIV is almost always transmitted through ‘unsafe’ sexual behavior in African countries (but not in non-African countries) is that no one in high prevalence countries wants to be associated with efforts to reduce transmission amongst those who seem to be most likely to be infected and to infect others.

Sex education in schools is almost non-existant, or it’s provided by religious groups whose aim can be to misinform rather than enlighten; sex work is illegal in many African countries; male to male sex is illegal and carries risks that go beyond HIV; harm reduction programs to reduce transmission among intravenous drug users by supplying them with safe injection equipment and other facilities is a political hot potato, with many donors actively discouraging it because it ‘encourages drug use’, etc.

But quality healthcare is denied to the majority of Burundians, not just those who fall into one of UNAIDS’ numerous ‘most at risk’ groups. Indeed, those who have had the best access to healthcare may also be more likely to be HIV positive – urban dwelling, wealthy people with higher levels of education.

Burundi is a very poor country, with the lowest expenditure on health in East Africa, but also the lowest HIV prevalence. At 1.4%, prevalence is only a fraction of that of Swaziland, where the majority of poor, rural dwelling, poorly educated women give birth with the assistance of a skilled healthcare worker. Only around 30% of Burundians from similar backgrounds do so.

The article gives the impression that poverty in some way causes HIV and sex work, because poor people have no option but to have sex for money or food or other benefits, as if poverty were something quite neutral in the absence of HIV and sex work. But poverty may also increase HIV transmission by exposing people to unsafe healthcare, or to the absence of healthcare.

If unsafe healthcare is the only option, people may risk infection with very serious illnesses in health facilities. Yet avoiding them altogether means they risk many other serious illnesses. Those engaging in sex work face terrible occupational risk, but if healthcare facilities are also unsafe, their non-sexual risk for HIV and other diseases may also be increased.

No one working in development would argue that poverty is unimportant, but it doesn’t play exactly the role in HIV transmission claimed by UNAIDS and the HIV industry in general. Poverty denies people access to healthcare altogether, or it condemns them to risking unsafe healthcare. So poverty reduction and greater access to healthcare needs to mean safe healthcare, otherwise access to healthcare and poverty reduction may be dangerously counterproductive.

Intergenerational Sex and Marriage: Just Another HIV Myth?


In 2007 the Population Council published an article on early marriage and HIV in Kenya. There’s nothing surprising about a eugenicist or ‘population’ NGO taking a close interest in such matters, of course, and the Population Reference Bureau published an article about cross-generational sex in various Africa countries in the same year. Both articles express concern about these phenomena potentially posing a risk for HIV transmission.

What is surprising is the figures used by the Population Council, listed below. The province where early marriage is most common, Northeastern, is the province where HIV prevalence is lowest, by a long shot. Early marriage is also less common in Nairobi, where HIV prevalence is second highest in the country. Where HIV prevalence is highest, Nyanza, early marriage is not particularly common. At least, there is no noticeable correlation between the phenomenon and HIV prevalence.

% married by 18 years HIV prev 08-09*
Northeastern 56 0.9
Eastern 16 3.5
Coast 34 4.2
Central 15 4.6
Rift Valley 35 4.7
Western 32 6.6
Nairobi 12 7
Nyanza 34 13.9

The relevant table is 14.5, page 217

In fact, these NGOs should have been very suspicious. HIV prevalence often tends to be higher among wealthier, better educated, urban dwelling, employed people, whereas intergenerational sex and marriage may be more closely associated with poorer, less well educated, rural dwelling, unemployed people.

So it is significant that AidsMap reported a presentation at the 21st Conference on Retroviruses and Opportunistic Infections (CROI). This presentation suggests that “Sex with older men is not placing women under 30 at higher risk of HIV infection in rural South Africa, and relationships with older men may even be protecting women over 30 from infection“.

The author of the study suggests that programs addressing relationships between older men and younger women may even stigmatize men and women in such relationships. But stigmatizing people with, or thought to be at risk of, HIV is something NGOs and international health institutions have never shied away from.

The media will be disappointed because they have enjoyed years of talking about sugar daddies and sugar mummies, which fits into the ‘all men are bastards, all women are victims’ paradigm of HIV transmission, and their concomitant assumptions that African men will do anything for sex and African women will do anything for money.

Many population (and eugenicist) NGOs generally also claim an interest in ‘reproductive health’, but their agenda often seems to veer towards matters that have little to do with health, and activities that have little to do with human rights. But for those that really are interested in health, there is another set of figures they may be interested in.

HIV prev 08-09 Medical supplies for common delivery complications
Northeastern 0.9 52
Eastern 3.5 61
Coast 4.2 59
Central 4.6 77
Rift Valley 4.7 49
Western 6.6 38
Nairobi 7 81
Nyanza 13.9 25

The Service Provision Assessment for Kenya for 2010 (Table 6.7, page 136) finds that only 25% of health facilities in Nyanza Province have essential supplies for common complications relating to child delivery, which means 75% of facilities lack “Needle and syringes, intravenous solution with infusion set, injectable oxytocic, and suture material and needle holder all located in delivery room area; oral antibiotic (cotrimoxazole or amoxicillin) located in pharmacy or delivery room area”.

With the highest HIV prevalence in Kenya, the fact that 46% of hospitals in Nyanza do not have all essential supplies for delivery, which refers to “Scissors or blade, cord clamp, suction apparatus, antibiotic eye ointment for newborn, skin disinfectant”, the Population Council and Population Reference Bureau may like to take a look at unsafe healthcare, now that intergenerational sex and marriage seem so much less of a priority now.

Again, these NGOs should also have noticed something important about HIV prevalence often being more closely associated with wealthier, better educated, employed, urban dwelling people: access to health facilities is also generally far higher among these groups. When poorer people with less education, those without formal employment and those who live in isolated rural areas do have access to health facilities, those facilities may turn out to be pretty unsafe. But that’s a matter for research that these NGOs haven’t yet carried out (or perhaps they just haven’t published it).

Ever-eager to snatch defeat from the jaws of victory, those who subscribe to the (eugenicist) population control theory of development in Africa, whether covertly or overtly, continue to receive generous funding. They don’t wish to lose any ground when it comes to pandering to the prejudices of those who still believe that Africans have loads of unsafe sex, and that this is why HIV prevalence is so much higher there. Yet, funding for unsafe healthcare always seems to put donors off their morning read, which is evidently when they set their funding priorities.

HIV Strategy: Blaming the Victim and their Individual Behavior


Since the early days of HIV/AIDS, finger pointing has been the main publicity angle. In Western countries the collective finger was pointed at men who have sex with men. Their reaction was to object to the finger being pointed at them and to insist that everyone is equally at risk. Though some still believe that everyone is equally at risk, it is not true. In Western countries the majority of HIV transmissions have always been among men who have sex with men, with a smaller proportion of transmissions through intravenous drug use.

But things are quite different in developing countries, particularly high HIV prevalence African countries. In high HIV prevalence countries men who have sex with men, intravenous drug users and even sex workers contribute a relatively small proportion of HIV transmissions. In fact, the largest contribution still appears to come from those with little or no risk; mainly monogamous heterosexuals. So the process of finger pointing often turns into one of victim blaming. After all, you can’t point the finger at everyone around you, nor at someone who is HIV negative; so the clearest ‘evidence’ of unsafe sexual behavior becomes HIV positive status.

This gives rise to the task of explaining how a virus that is difficult to transmit through heterosexual sex outside of Africa is so frequently transmitted through that route in Africa. The HIV industry needed to show that ‘Africans’ must be promiscuous, ignorant and unhygienic. This wasn’t too difficult because population control advocates (the word ‘eugenics’ is no longer fashionable), a significant proportion of wealthy NGOs operating in Africa, had had been playing the over-sexed, under-educated slum-dweller cards for decades.

The processes of pointing the finger at a particular group whose behavior was disapproved of, blaming those infected with HIV for their status, and concluding that HIV is all a matter of individual behavior, threw off course any efforts to reduce HIV transmission in developing countries. Although ‘prevention’ activities only receive a small proportion of HIV funding, that is still a massive amount of money. But prevention activities have rarely gone beyond exhortations to ‘behave’ in a particular way. The finger-wagging programs perfected by population control NGOs decades before HIV was identified became, and often remain, the state of the art of HIV prevention.

There has been plenty of research showing that these finger-wagging programs are of little or no benefit (except to the NGOs). An example of such research shows that “peer education programs in developing countries are moderately effective at improving behavioral outcomes, but show no significant impact on biological outcomes“. There is a voluminous body of literature showing that you can’t simply wag your finger at people and expect them to change their behavior, whether the aim is to address substance abuse, dangerous driving, over-eating or anything else.

Sometimes the association of HIV transmission with individual behavior is further connected with conditions that are beyond the control of the victim, for example, poverty. But this has also given rise to confusion: there is plenty of evidence that HIV in African countries is transmitted among wealthier people. This challenges the idea that HIV epidemics are driven by sexual behavior because, even if wealthy people ‘can afford to have a lot of sex and a lot of partners’, as the HIV industry would have it, there would need to be some poor people involved in this theory. Rich people don’t pay other rich people for sex.

Instead of looking beyond sex, or sex and poverty, it seems some researchers are convinced they will eventually find out how sex and economic inequalities ‘drive’ HIV epidemics. One paper concludes that “Further work is needed to understand the mechanisms explaining the concentration of HIV/AIDS among wealthier individuals and urban residents in [sub-Saharan Africa]“. But they don’t seem to consider the possibility that their protohypothesis about sex is simply wrong. They don’t seem to think that non-sexual transmission may be a very significant factor in the spread of HIV among wealthier people.

HIV can be transmitted through unsafe healthcare and other skin-piercing processes, such as various cosmetic processes. Wealthy people tend to have better access to healthcare. In fact, urban dwellers also tend to have better access to healthcare. Perhaps this is why the above paper found that HIV is “generally concentrated among wealthier men and women“. This may also explain why HIV “was concentrated among the poor in urban areas but among wealthier adults in rural areas” in a number of countries.

Instead of trying so hard (and failing, over and over again) to find out what it is about the sexual behavior of wealthy people and urban dwellers, perhaps researchers should look at non-sexual risks, as well as sexual risks. Could the risks that people face be determined by their wealth and environment, precisely because they are not sexual risks, but healthcare and other risks? These risks are clearly not *individual* risks. They relate to health-seeking behavior, but it is not the behavior of wealthy and/or urban-dwelling people that gives rise to infection with HIV in a hospital or salon; the risk of infection depends on whether the facility is safe or not (which might vary considerably over time).

Some historians of HIV, such as Jacques Pepin (The Origins of Aids), admit that HIV was mainly transmitted through unsafe healthcare for many decades, and hardly ever through sexual behavior. But they don’t explain how healthcare transmission magically disappeared in the 1980s even though conditions in many African countries remain very unsafe (although how unsafe they are is still a dangerously under-researched field).

Coupled with the magical disappearance of the risk of HIV transmission in under-equipped, under-staffed and badly run health facilities is the magical re-appearance of the promiscuous, ignorant and dirty African, though for many, this had never really gone away. Pepin vaguely mentions things like ‘urbanization’ as the main explanation for levels of promiscuity for which there has never been any evidence and which do not explain very high rates of heterosexual transmission of HIV anyway.

Ugandans have recently responded to having the finger pointed at them by allowing an ‘anti-homosexuality’ bill to be passed, effectively saying ‘it’s not us, it’s them’. Various human rights groups, and even some donors, may belatedly object to such disgusting measures, which are being copied by other African countries. But the objection needs to be directed at the approach to HIV that began a long time ago, and began in Western countries, not in African countries. Men who have sex with men are by no means the only group who have been blamed for HIV epidemics. Other groups include long distance drivers, sex workers, house girls, fishermen, miners, and many others. It’s this finger-pointing approach that gives rise to the stigma that those pointing the finger claim to abhor.

Thirty years into the HIV epidemic (I’m adopting the view that HIV is not a pandemic because most people don’t face any risk of being infected and prevalence is, and will remain, low in most countries) research institutions, NGOs, international bodies and, perhaps most importantly, donors are still obsessing about sexual behavior and pretending that HIV status is up to the individual when it is clear that a large, but as yet unestimated, proportion of infections is a result of unsafe healthcare and other skin-piercing processes.

UNAIDS’ Dubious Claims about HIV/AIDS 2013


UNAIDS risk missing their target of reducing “sexual transmission of HIV by 50% by 2015“. But there is a way of meeting that target, and they could meet it by tomorrow. If they belatedly admit that HIV is far more easily transmitted through unsafe healthcare, they could begin to estimate the contribution of things like reuse of needles, syringes and other equipment that comes into contact with blood and other bodily fluids.

This would also greatly assist their progress towards their ‘ZeroDiscrimination’ target too, because even though they can’t reverse the damage they have done by insisting that Africans are irremediably promiscuous, the status of this claim as institutionalized racism will eventually become clear, at least to those who are prepared to think the issue through a little (a surprisingly small number of people so far).

After all, reducing ‘sexual transmission’ is one of their stated goals, whereas UNAIDS has barely breathed a word about transmission through unsafe healthcare in their 20 year, multibillion dollar, celebrity studded reign. They could just quietly (imperceptibly, even) reveal some changes in the way figures are collected and next December 1, a re-estimation of non-sexual transmission of HIV could be the subject most deserving of their customary (spontaneous) standing ovation module.

UNAIDS are uncharacteristically frank about mass male circumcision, which is something of an embarrassing fiasco: “As of December 2012, 3.2 million African men had been circumcised […]. The cumulative number of men circumcised almost doubled in 2012, rising from 1.5 million as of December 2011. Still, it is clear that reaching the estimated target number of 20 million in 2015 will require a dramatic acceleration.” (They don’t say how many of the 3.2 million circumcised over quite a few years would have been circumcised anyway but took advantage of the free (anesthetized) operation.) Might this spell an unobtrusive retreat from this dangerous imperialist program?

But one of the heftiest pieces of bullshit in the ‘report’ (and there is stiff competition) is about “the goal of providing antiretroviral therapy to 15 million people by 2015”. They say that “As of December 2012, an estimated 9.7 million people in low- and middle-income countries were receiving antiretroviral therapy, an increase of 1.6 million over 2011. That brings the world nearly two-thirds of the way towards the 2015 target of 15 million people accessing antiretroviral treatment.”

The difference between UNAIDS’ claim and the truth is expressed in a few words, such as ‘were receiving’ therapy. If they said that 9.7 million people had been recruited on to a therapy program, that might have been true (or somewhat closer to the truth). But 9.7 million is, at best, the number of people who have at one time been put on a program. Neither UNAIDS, WHO, PEPFAR, CDC nor anyone else knows how many of those 9.7 million ever took the drugs, or for how long, how many dropped out of the program, how many were recruited on to two or more programs or simply died, etc.

No one knows, and no one really cares because 9.7 million is an impressive figure, and it sounds like a good attempt at the 15 million target. There is not much incentive to estimate how many people are alive and on antiretroviral treatment, indeed, such an estimate could prove fatal to several substantial institutions (not just UNAIDS, which seems to thrive on failure to achieve anything at all, aside from spending money and institutionalizing bigotry). Is the true figure 8 million people, 7 million, or some far lower number? Billions of dollars say that no one is going to ask this impertinent question (unless they are not in receipt of any of those billions, and never will be).

Unsafe healthcare does exist in extremely poor, high HIV prevalence countries, surprising as that may seem to those who are used to the mainstream view that HIV is hardly ever transmitted through heterosexual sex in every country in the world, but almost always transmitted through heterosexual sex in a handful of African countries. What contribution does unsafe healthcare make to the worst HIV epidemics in the world, all in sub-Saharan Africa? Would it be the one or two percent UNAIDS grudgingly suggests, or something far higher? We don’t know yet. No billions have been offered for the answer to this question.

Using cumulative figures is great, because you get that great ‘step’ effect when you produce bar graphs, and there is nothing like comforting, progressive steps to convince people that everything is good in UNAIDSland, and in the HIV industry in general. A very achievable 2015 target would be the abolition of UNAIDS and the promotion of safe healthcare. Because unsafe healthcare risks the spread of HIV, something UNAIDS has never got around to accepting. But I suspect that instead, there will be a continuation of the finger-pointing and victim-blaming that has characterized the mainstream approach to HIV in high prevalence countries so far.

Misinformation from UNAIDS’ flawed Modes of Transmission model


To defeat HIV/AIDS in Africa, UNAIDS recommends: “Know your epidemic.” The best way to do so is to investigate to trace the source of infections – especially in children with HIV-negative mothers, virgins, and married people with HIV-negative spouses and no outside partners.

But that’s not what UNAIDS urges African governments to do. Instead, UNAIDS urges governments to use its Modes of Transmission (MOT) model to estimate numbers of infections from various risks.

But the MOT model contains a glaring error. Because of this error, whoever uses the model ends up estimating far too many infections coming from spouse-to-spouse transmission.

In Uganda, for example, the MOT model estimates that 60,948 married adults got HIV from their spouses during 2008. This is two-thirds of the model’s estimated total new infections from all risks in Uganda in 2008.

The MOT model got this number by supposing that 5.9% of married adults (421,000 adults) were HIV-negative with HIV-positive spouses, and that 14.5% of these spouses at risk got HIV from husbands or wives in 2008 (60,948 = 14.5% x 421,000).

But the number of spouses at risk is far, far less. Uganda’s 2004/5 HIV/AIDS Sero-behavioral Survey reports that 6.2% of husbands and 5.2% of wives were HIV-positive.  But – and this is the important fact the MOT model ignored – most HIV-positive husbands and wives were married to each other. Only 2.8% of wives and 1.8% of husbands were HIV-negative with HIV-positive spouses.

Overall only about 2.3% of married adults (averaging 2.8% of wives and 1.8% of husbands) were HIV-negative with HIV-positive spouses – only 222,000 vs. the 421,000 estimated in the MOT model. If 14.5% of these 222,000 adults got HIV from their spouses in a year, that would account for 32,100 new infections (14.5% x 222,000), far less than the 60,948 estimated in the MOT model.

Why is this important? Because if fewer infections are coming from spouses, how did so many Ugandans get HIV in 2008? In other words, the MOT not only over-estimates HIV from spouses, but also underestimates infections from other risks.

What risks are underestimated? Hold on now! Don’t run away with sexual fantasies about young people and some married adults having too much fun with non-spousal partners. Indulging in racist and stigmatizing sexual fantasies is something too many official AIDS experts like to do. But the evidence does not support such fantasies. The best information on sexual behavior does not come close to explaining Uganda’s epidemic.

Setting aside sexual fantasies, the underestimated risks are more likely to be those that UNAIDS’ staff and other health professionals want to ignore – skin-piercing procedures with unsterile instruments, such as injections, dental care, manicures, etc. This is true not only in Uganda but also in more than 15 other African countries that have used the MOT model to get ridiculous figures on numbers of HIV infections from spouses.

Remember how we began: The best way to “know your epidemic” is to trace infections. Let’s challenge HIV/AIDS researchers — finally — to do their job. Although it’s decades too late, tracing is still needed to find all the important risks and to stop Africa’s generalized HIV/AIDS epidemics.

[Note: This blog summarizes evidence and arguments in: Gisselquist D. UNAIDS’ Modes of Transmission model misinforms HIV prevention efforts in Africa’s generalized epidemics, available at:  http://papers.ssrn.com/sol3/papers.cfm?abstract_id=2315554.]