HIV/AIDS IN SUB-SAHARAN AFRICA: THE GROWING EPIDEMIC?



Similar documents
A HISTORY OF THE HIV/AIDS EPIDEMIC WITH EMPHASIS ON AFRICA *

UNAIDS 2013 AIDS by the numbers

Q&A on methodology on HIV estimates

HIV/AIDS: AWARENESS AND BEHAVIOUR

UPDATE UNAIDS 2016 DATE 2016

Table 5: HIV/AIDS statistics for Africa (excluding North Africa), 2001 and 2009

Goal 6: Combat HIV/AIDS, malaria and other diseases

07 AIDS epidemic update

country profiles WHO regions

A Snapshot of Drinking Water and Sanitation in Africa 2012 Update

DEFINITION OF THE CHILD: THE INTERNATIONAL/REGIONAL LEGAL FRAMEWORK. The African Charter on the Rights and Welfare of the Child, 1990

F. MORTALITY IN DEVELOPING COUNTRIES

AIO Life Seminar Abidjan - Côte d Ivoire

The impact of HIV/AIDS on the labour force in Sub-Saharan Africa: a preliminary assessment

World AIDS Day: Most African governments win high marks for efforts to fight HIV/AIDS

Global Fuel Economy Initiative Africa Auto Club Event Discussion and Background Paper Venue TBA. Draft not for circulation

PRIORITY AREAS FOR SOCIAL DEVELOPMENT PERSPECTIVES FROM AFRICA EUNICE G. KAMWENDO UNDP REGIONAL BUREAU FOR AFRICA

Financing Education for All in Sub Saharan Africa: Progress and Prospects

S P. The Goals Model as a Tool for Allocating HIV/AIDS Resources & Strategic Planning

Africa-China trading relationship

Goal 6: Combat HIV, AIDS, malaria, and other major diseases

THE GAP REPORT UNAIDS

Pensions Core Course Mark Dorfman The World Bank. March 7, 2014

THE GAP REPORT UNAIDS

VI. IMPACT ON EDUCATION

EARLY MARRIAGE A HARMFUL TRADITIONAL PRACTICE A STATISTICAL EXPLORATION

Labour market and employment implications of HIV/AIDS

HIV Prevalence Estimates from the Demographic and Health Surveys. Updated July 2012

African Elephant (Loxondonta africana)

The Africa Infrastructure

Teen Pregnancy in Sub-Saharan Africa: The Application of Social Disorganisation Theory

GLOBAL REPORT UNAIDS report on the global AIDS epidemic 2013

United Nations Development Programme United Nations Institute for Training and Research

ADF-13 Mid Term Review: Progress on the African Development Bank Group s Gender Agenda

DEMOGRAPHIC AND SOCIOECONOMIC DETERMINANTS OF SCHOOL ATTENDANCE: AN ANALYSIS OF HOUSEHOLD SURVEY DATA

A Snapshot of Drinking Water in Africa

UNAIDS World AIDS Day Report 2012

YOUNG WOMEN S MARITAL STATUS AND HIV RISK IN SUB-SAHARAN AFRICA: EVIDENCE FROM LESOTHO, SWAZILAND AND ZIMBABWE 1

WOMEN S PARTICIPATION IN AGRICULTURAL RESEARCH AND HIGHER EDUCATION

How To Calculate The Cost Of A Road Accident In Africa

Eligibility List 2015

Striving for Good Governance in Africa

Corporate Overview Creating Business Advantage

Using data and tools to inform resource allocation for the HIV response. Dr. Sarah Alkenbrack & Dr. Suneeta Sharma Futures Group

Libreville Declaration on Health and Environment in Africa

Estimating National HIV Prevalence in Ghana Using Sentinel Surveillance Data

A Snapshot of Drinking Water and Sanitation in Africa A regional perspective based on new data from the WHO/UNICEF Joint Monitoring Programme for

PROCEEDINGS KIGALI 3-4 NOVEMBRE,

1) Human Resource Management Certificate Course. 2) Procurement Management Certificate Course. 3) Marketing Certificate Course

DHS EdData Education Profiles

UNFCCC initiatives: CDM and DNA Help Desks, the CDM Loan Scheme, Regional Collaboration Centres

Survey of e-learning in Africa. Based on a Questionnaire Survey of People on the e- Learning Africa Database in 2007

We can empower young people to protect themselves from HIV

WHO Global Health Expenditure Atlas

How To Get Rid Of Hiv

Migration and Development in Africa: Implications for Data Collection and Research

The Effective Vaccine Management Initiative Past, Present and Future

TEACHERS NOTES FILM SYNOPSIS RESOURCE OVERVIEW PEDAGOGY

G4S Africa. Andy Baker Regional President. G4S Africa

In 2003, African heads of state made a commitment to

Analyzing Family Planning Needs in Nigeria: Lessons for Repositioning Family Planning in Sub-Saharan Africa

The Socio-Economic Determinants of HIV/AIDS Infection Rates in Lesotho, Malawi, Swaziland and Zimbabwe

M I L L I O N S Figure 2.1 Number of people newly infected with HIV

Mid-year population estimates. Embargoed until: 20 July :30

Manufacturing & Reproducing Magnetic & Optical Media Africa Report

THE STATE OF MOBILE ADVERTISING

HIV/AIDS in the World Today a Summary of Trends and Demographic Implications

January PwC Research Services Survey on Retrenchment and Redundancy Practices

AFRICA S ORPHANED GENERATIONS

Social protection and poverty reduction

Countries Ranked by Per Capita Income A. IBRD Only 1 Category iv (over $7,185)

Making Finance Work for Africa BRIEFING NOTE THE LANDSCAPE OF MICROINSURANCE IN AFRICA 2012

Ensuring access: health insurance schemes and HIV

50 years THE GAP REPORT 2014

ALL IN. #EndAdolescentAIDS

Progress and prospects

Distance to frontier

EXPLORER HEALTH PLAN. Product Summary From 1 September bupa-intl.com. Insured by Working with Brokered by

The Global Fund to Fight AIDS, Tuberculosis and Malaria Fourth Replenishment ( ) Update on Results and Impact

THE ROLE OF BIG DATA/ MOBILE PHONE DATA IN DESIGNING PRODUCTS TO PROMOTE FINANCIAL INCLUSION

KIGALI DECLARATION ON THE DEVELOPMENT OF AN EQUITABLE INFORMATION SOCIETY IN AFRICA

A Credit Bureau Data Comparison - SA versus Africa The trip through the jungle is easy IF you have the data - question: do we have it?

Statistical release P0302

The importance of bandwidth management and optimisation in research and education institutions

Children and AIDS. A stocktaking report

People and Demography

FINDINGS FROM AFROBAROMETER ROUND 5 SURVEY DEMOCRATIC ATTITUDES/BELIEFS, CITIZENSHIP & CIVIC RESPONSIBILITIES

A TEACHER FOR EVERY CHILD: Projecting Global Teacher Needs from 2015 to 2030

Japan s Initiative on Infrastructure Development in Africa and TICAD Process Fifth Ministerial Meeting NEPAD-OECD Africa Investment Initiative

PEPFAR/CDC Site Monitoring System Goal and Objectives

MEETING THE INVESTMENT CHALLENGE TIPPING THE DEPENDENCY BALANCE

THE IMPACT OF THE AIDS EPIDEMIC ON SCHOOLING IN SUB-SAHARAN AFRICA PAUL BENNELL

BRIEF FOR PARLIAMENTARIANS ON HIV AND AIDS. Towards an HIV-free generation: Ending the vertical transmission of HIV

SCHOOLING FOR MILLIONS OF CHILDREN JEOPARDISED BY REDUCTIONS IN AID

DHS ANALYTICAL STUDIES 29

The Elderly in Africa: Issues and Policy Options. K. Subbarao

OPHI WORKING PAPER NO. 81

New Thinking in Addressing the Rising Challenges of Human Resources for Health in Sub Saharan Africa

Economic and trade policy overview by Taku Fundira, tralac Researcher

Female Genital Mutilation/Cutting: Data and Trends

Transcription:

HIV/AIDS IN SUB-SAHARAN AFRICA: THE GROWING EPIDEMIC? Paul Bennell 1 It is widely believed that the AIDS epidemic continues to spread rapidly throughout the African continent with rising levels of HIV infection, especially among the youth. UNAIDS have been particularly concerned to rebut any dangerous myths that the epidemic is levelling off or even declining in the worst affected AIDS belt countries in Eastern, Central and Southern Africa. In its 2002 Report on the global HIV/AIDS epidemic, UNAIDS notes that circulating in Southern Africa has been the hope that the epidemic may have reached its natural limit, beyond which it would not grow. Thus, it has been assumed that the very high HIV prevalence rates in some countries have reached a plateau. Unfortunately, this appears not to be the case yet. 2 This conclusion has, in turn, been picked up on by the world s media. For example, the BBC News web site highlights Africa s growing epidemic. The key message of many articles and television and radio programmes is that, apart from a few well-known success stories (in particular, Uganda and Senegal) the epidemic is not under control and that, therefore, patterns of sexual behaviour remain much the same and HIV prevention programmes are not working. The enormity of the AIDS crisis in Africa cannot be under-estimated. And yet, it is extraordinary just how little good quality information is available that would enable the levels and thus trends in national HIV prevalence rates to be accurately monitored. Most countries do not even collect vital registration data on deaths. Populationbased surveys are the only reliable indicator of the levels of HIV infection among men and women according to age, location and socio-economic background. And yet, there is virtually no population-based survey data in most of the high-prevalence countries, including Botswana, Ethiopia, Malawi, Lesotho, Namibia, and Swaziland. No country in Africa has good quality national population-based survey data over a number of years. Primary reliance has instead been placed on anonymous testing of samples of pregnant women attending antenatal clinics. While these antenatal clinic (ANC) sentinel surveys are reliable in monitoring trends in HIV prevalence, they are not an accurate method for measuring HIV prevalence levels among both women and men. This is especially the case for young people (see below). Notwithstanding these problems, a thorough examination of the limited information that is available suggests that the epidemic is not growing in many of the worst affected countries in Africa. This does not mean, of course, that the epidemic will not continue to have devastating impacts in these countries. But the widespread assertion that infection levels are still increasing throughout the region cannot be robustly substantiated. The true picture is, in fact, very much more mixed. There are countries where prevalence rates are still increasing very rapidly (most notably Cameroon, Lesotho and Swaziland). But this group comprises a small minority of the continent s nearly 50 countries. Among the majority of worst affected countries, there are clear signs that prevalence rates have already started to fall or that these rates are levelling off. 1 Senior partner, Knowledge and Skills for Development, Brighton, UK. 2 UNAIDS. 2002. Report of the global HIV/AIDS epidemic, UNAIDS, Geneva, p. 23 1

Table 1: UNAIDS estimates of adult (15-49) HIV prevalence rates 1997-2001 COUNTRY 1997 1999 2001 Dif 99-01 Botswana 25.1 35.8 38.8 3 Burkina Faso 7.2 6.4 6.5 0.1 Burundi 8.3 11.3 8.3-3 Cameroon 4.9 7.7 11.8 4.1 CAR 10.8 13.8 12.9-0.9 Congo 7.8 6.4 9.7 3.3 Cote d'ivoire 10.1 10.8 9.7-1.1 DRC 4.4 5.1 4.9-0.2 Ethiopia 9.3 10.6 6.4-4.2 Ghana 2.4 3.6 3-0.6 Kenya 11.6 14 15 1 Lesotho 8.4 23.6 31 7.4 Malawi 14.9 16 15-1 Mozambique 14.2 13.2 13-0.2 Namibia 19.9 19.5 22.5 3 Nigeria 4.1 5.1 5.8 0.7 Rwanda 12.8 11.2 8.9-2.3 South Africa 12.9 19.9 20.1 0.2 Swaziland 18.5 25.3 33.4 8.1 Togo 8.5 6 6 0 Uganda 9.5 8.3 5-3.3 Tanzania 9.4 8.1 7.8-0.3 Zambia 19.1 20 21.5 1.5 Zimbabwe 25.8 25.1 33.7 8.6 Source: UNAIDS This note is based mainly on an analysis of UNAIDS publications and the recently updated HIV/AIDS database produced by the US Bureau of the Census, which presents all HIV survey data for every country in the world since the mid 1980s. In addition, it has been possible to review other recent data from some high prevalence countries, in particular Botswana, Rwanda, Zambia and Zimbabwe. The evidence Firstly, the data presented in UNAIDS s own biennial global monitoring reports indicates that infection levels may be declining in a relatively large number of countries. Table 1 presents UNAIDS estimates of adult (15-49) HIV prevalence rates (HPR) for the worst affected countries in country. Between 1999 and 2001, these HPRs did not increase in 11 out of the 24 listed countries. Clearly, one has to be wary about reading too much into a few years of data, but there are hopeful signs that the HIV tide is turning in more than just one or two countries. Secondly, the results of recent surveys in Botswana and Rwanda show that HPRs are declining. In Botswana, the national 15-49 ANC rate fell from 38.5 per cent in 2000 to 35.4 per cent in 2002 and, in Rwanda, from 12.8 per cent in 1997 to 4.5 per cent in 2002. The 2001 UNAIDS estimate of 33.7 per cent for Zimbabwe is overinflated because 25 per cent of the ANC test results were false positives. The Ministry of Health in Zimbabwe has now published robust ANC survey results for 2002 that show a national 15-49 ANC rate of 24.6 per cent, which suggests that prevalence rates have remained largely unchanged since the mid-1990s. 2

Thirdly, declining adult HIV prevalence rates in a sizeable number of countries are being driven by lower levels of HIV prevalence among young people. Table 2 shows that for the 15-19 age group that this appears to be the case in seven of the nine high prevalence countries for which reasonable time-series data are available. The national 15-19 ANC estimate in Uganda halved in the space of three years (1993 to 1996). In Malawi, also, these same prevalence estimates fell at eight out of 10 ANC sentinel survey sites between 1995/96 and 2001, with the sharpest declines being recorded after 1999. However, HIV prevalence among pregnant teenagers in Zambia fell from 15.6 per cent in 1994 to 12.3 per cent in 1998, but then increased to 14.1 per cent in 2002. The ANC estimates for this group increased at 9 out of 15 sentinel survey sites during these four years. And, while HIV prevalence among teenagers in South Africa appears to be falling, the incidence of HIV among older cohorts has increased. Table 2: Antenatal clinic HIV prevalence rates for 15-19 year olds in Africa, 1990-2002 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 Botswana 16.4 21.8 20.7 32.4 27.2 28 28.6 21.5 22.9 24.1 21 Ethiopia 15.4 17.6 15.2 9.9 Malawi 20.4 14.9 14.2 20.9 14.4 Namibia 5.7 11.4 12 11.9 11 South Africa 1.6 2.8 5.1 9 12.7 12.8 21 16.5 16.1 15.4 Swaziland 4.7 17.8 25 25.6 26.3 32.5 Tanzania 4.9 4.2 2.9 5.6 5.3 6.3 6.7 8.8 7.8 8.2 Uganda 21.6 25.9 19.6 19.5 12.5 12 12 8.7 8.6 8.5 9.3 4.7 Zambia 15.6 12.3 14.1 Note: Highest figures to date under-lined Source: HIV/AIDS database, US Bureau of the Census Finally, the minimal amount of time-series population-based HIV survey data that is available show falling prevalence among youth in Uganda and Lusaka (Zambia) during the 1990s, but rising HIV prevalence in Tanzania. HIV prevalence among youth The general consensus is that it is young Africans aged under-25 who are at the greatest risk of becoming infected with HIV. The very high estimates of HIV prevalence for the 15-24 age group that are presented in the UNAIDS global monitoring report appear to provide powerful support for this assertion. However, population-based survey evidence shows that: It is misleading to lump together all youth in a single, ten-year age group. This is because prevalence rates among both female and male teenagers aged 15-19 are typically two-three times lower than for the 20-24 year group. In most countries, prevalence rates are low in absolute terms at least up until the late teens, but then surge during the next two-three years (see Table 3). Often, though, the largest increase in HIV prevalence occurs in the mid-late 20s. This is particularly the case in South Africa for both females and males, and males in Tanzania (Kisesa Ward), Zambia and Zimbabwe. In Uganda, on the other hand, HIV prevalence tends to increase most rapidly among the 20-24 age group. Only in Kisumu, Kenya can it be shown that teenagers do appear to be at greatest risk of infection. 3

Table 3: Population-based HIV prevalence rates in Africa, late 1990s-early 2000s (percentages) SURVEY AGE COUNTRY COVERAGE YEAR SEX 15-19 20-24 25-29 30-34 35-39 40-44 45-49 Eritrea National 2001 F 0.6 4.3 2.4 1.4 4.2 1.3 0.9 M 0.6 0 1.7 3.6 4.2 2.5 1.3 Mali National 2001 F 1.4 1.6 3.2 3.2 2.8 1.1 0.9 M 0.2 0.3 1.7 3.8 1.1 1.7 2.3 South Africa National 2002 F 7.3 17.1 32 24.1 13.8 19 11.2 M 4 8 22 24 18 12 12 Zambia National 2001-02 F 6.6 16.3 25.1 29.4 22.6 17.3 13.6 M 1.9 4.4 15 20.5 22.4 20.5 20.2 Benin Cotonou (urban) 1997-98 F 2.4 3.8 4.8 3.5 2.6 M 0 2.3 6.7 3.9 3.8 Cameroon Yaounde (urban) 1997-98 F 3.9 9.3 11.2 9.9 7.3 M 0 1.4 3.1 9.1 5.7 Kenya Kisumu (urban) 1998 F 23.4 39 38.8 31.6 19.3 M 4.4 13.7 30 34.1 30.6 Mombasa 2001 F 3 8 14.3 14.1 14.2 9.1 M 2 1 8.1 14 14 9 Tanzania Kisesa (urban/rural) 1999-00 F 3 9.2 12.2 12.3 11.5 7.7 na M 0.9 4.6 9.6 11.4 13.7 8.4 na Mwanza (rural) 2001 F 0.7 3.3 8.1 6 7 2.7 M 0 3.1 5.1 6.9 4.7 7.9 Zimbabwe Rural (Mutasa) 1998-99 F 7 26.4 40 39.8 32.2 20.2 21.9 M 1.1 8.4 25.8 47.4 39.4 32.8 33.3 Uganda Rural (Masaka) 1999 F 0.9 10.1 19 20.6 14.7 7 3.5 M 1 2.2 10.9 19 17 16 7.5 Rural (Rakai) 2001 F 1 9 10.1 33.5 24 Source: HIV/AIDS database, US Bureau of the Census The UNAIDS estimates appear to be much higher than the actual levels of HIV prevalence among the 15-24 group. The results of national population-based HIV surveys in high prevalence countries are only available for South Africa and Zambia 3, but in both these countries the UNAIDS estimates are 2-3 times higher than those from the population-based surveys. Among males, even larger differences exist in Eritrea and Mali (see Table 4). If this is true for other countries, then the extent of the epidemic among young people is being exaggerated. HIV prevalence rates appear to be considerably lower among teenagers who are in rather than out of school. Data from surveys in Burundi, Eritrea, Mozambique, Tanzania and Zimbabwe show sizeable HIV prevalence rate differentials between these two groups. 3 Nation wide population-based HIV testing has been included in the most recent DHS surveys in Malawi, Kenya and Uganda, but the results have not yet been published. 4

Table 4: Comparison of UNAIDS and population-based HIV prevalence rate for the 15-24 age group (percentages), 2001-2002 4. FEMALE MALE COUNTRY UNAIDS Pop-based UNAIDS Pop-based Eritrea 4.3 6.6 2.8 0.3 Mali 2.1 1.4 1.4 0.3 South Africa 25.6 12.2 15.3 6 Zambia 21 12.5 8.1 3.2 Source: HIV/AIDS database, US Bureau of the Census CONCLUSIONS Five main conclusions can be drawn from this analysis. There is a danger that advocacy is getting in the way of objective assessments of the level and trends of the AIDS epidemic in Africa. It is not possible to generalise about the epidemic across the continent. HIV prevalence rates are not increasing in most countries as is usually stated or implied. HIV prevalence among youth, and especially teenagers, is often being seriously over-estimated which, in turn, has important implications for HIV prevention programmes among youth 5. Thus, only population-based survey data should be relied upon. Recent data is essential because infection levels can change very quickly in response to behavioural change. Uganda is the prime example. HIV prevention programmes need to be targeted more on out of school youth and adults in their mid-late twenties. 4 UNAIDS figures are the mid-point of the minimum and maximum estimates for the 15-24 age group presented in the 2000 Global Report. The population-based figures are the average of the 15-19 and 20-24 age group prevalence rates. 5 See P.S. Bennell, P.S. 2003. HIV prevalence among teenagers in Africa, mimeo, Brighton 5

6