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1 HIV/AIDS NUTRITION AND FOOD SECURITY Looking to future challenges Tony Barnett London School of Economics International Conference on HIV/AIDS: Food and Nutrition Security 2 WHAT WE THINK WE KNOW

WHAT WE THINK WE KNOW...WHAT WE THINK WE KNOW 2 International Conference on HIV/AIDS: Food and Nutrition Security 3 2002 FOOD CRISES IN SOUTHERN AFRICA MALAWI: >70% of population facing

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Page 1: WHAT WE THINK WE KNOW...WHAT WE THINK WE KNOW 2 International Conference on HIV/AIDS: Food and Nutrition Security 3 2002 FOOD CRISES IN SOUTHERN AFRICA MALAWI: >70% of population facing

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HIV/AIDS NUTRITION AND FOOD SECURITY

Looking to future challenges

Tony BarnettLondon School of Economics

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WHAT WE THINK WE KNOW

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2002 FOOD CRISES IN SOUTHERN AFRICA

2002 FOOD CRISES IN SOUTHERN AFRICA

MALAWI: >70% of population facing food shortages; adult HIV prevalence 15%

MOCAMBIQUE: severe floods 2000 and 2001: drought 2002: adult HIV prevalence 13%

ZAMBIA: second year of crop failure: few food stocks: adult HIV prevalence 21.5%

LESOTHO: second year of food shortages: maize prices high; adult HIV prevalence 31%

ZIMBABWE: food shortages: 31.4% of pregnant women in rural areas HIV+

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LIFE IS THE STORIES WE TELL

STORIES ARE THE LIFE WE LIVE

STORIES

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AN ESTABLISHED NARRATIVE ABOUT HIV/AIDS, RURAL

LIVELIHOODS AND FOOD?

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The impact of HIV/AIDS on a Ugandan rural household 1980-89

T. Barnett and P. Blaikie, AIDS in Africa: its present and future impact, Wiley, London and Guilford Press, NY, 1992.

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• PROGRESSIVE DECLINE• REDUCTION OF CULTIVATED AREA• REDUCTION OF CROP PORTFOLIO• DECAY OF INFRASTRUCTURE• REDUCED PRODUCTION AND

PRODUCTIVITY• POSSIBLE “FAMINE”

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NUMEROUS STUDIES

• SOME ARE RECYCLED ANECDOTES• NO LONG TERM STUDIES AT ALL• WE DO NOT REALLY KNOW WHAT IS

HAPPENING IN A WIDE RANGE OF FARMING SYSTEMS

• KNOW VERY LITTLE ABOUT PASTORALISTS OR FISHING COMMUNITIES

• EVIDENCE AND ADVOCACY

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IS THE ESTABLISHED NARRATIVE GENERALISABLE?

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META-STUDIES• IFPRI – GILLESPIE AND KADIYALA 2004• NOW LITTLE DOUBT THAT HIV/AIDS AFFECTS RURAL

LIVELIHOODS• NATURE AND DIRECTION OF EFFECTS SEEMS CLEAR• DOES NOT INDICATE IMPENDING “FAMINE” -

INDICATES DIVERSITY OF EFFECT• INCREASING INDICATION OF INEQUALITY EFFECT• HARD TO GENERALISE FOR “AFRICA” OR EVEN

“SOUTHERN AFRICA”• MORE EVIDENCE MAY BE AVAILABLE AT THIS

MEETING• HARD TO UNPICK CAUSAL INFLUENCE OF HIV/AIDS

FROM OTHER BACKGROUND INFLUENCES AT GENERAL LEVEL

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AGRICULTURAL AND RURAL LIVELIHOOD CHANGE WILL BE IN DYNAMIC RELATIONSHIP WITH THE

EPIDEMIC AND WITH UNDERLYING ENVIRONMENTAL AND POLICY CONDITIONS

THE EPIDEMIC MAY BE A TIPPING POINT FACTOR

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ANOTHER STORY

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Low-Beer, D., Stoneburner, R.L. and Mukulu, A (May 1997), Empirical Evidence for the severe but localised impact of AIDS on population structure, Nature Medicine, Vol. 3 No. 5

UGANDA – HISTORY

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RAKAI UGANDA, KYEBE VILLAGE

• FIRST SAMPLE SURVEY 1989• SECOND COHORT STUDY 1993• THIRD (INITIAL) SMALL STUDY 2004• FINDINGS

– 1993 COHORT INTACT – HIV PREV ’93 8%?– FARMING SYSTEM INTACT – WEEVIL

INFESTATION IN MATOOKE– COMMUNITY RESPONSE FROM ORPHANED

GENERATION – CHAIRMAN– 90% OF VILLAGE SCHOOLCHILDREN ORPHANS

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POSSIBLE REASONS

• THIS WAS ALWAYS A ROBUST SYSTEM – HIGH BIMODAL RAINFALL, GOOD SOILS, PORTFOLIO DIVERSITY

• REPORTS OF ACTIVE EXTENSION SERVICES

• WE NEED TO LOOK AT WHAT HAS HAPPENED IN OTHER SYSTEMS IN UGANDA

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AGRICULTURAL SYSTEM CHANGES UGANDA 1989

Experience in Uganda, Kenya, Tanzania and Zambia indicates that there is often sufficient information scattered around to enable initial mapping of farming systems.

In principle these can be overlaid onto sentinel surveillance data to provide some initial guide to relative vulnerability of farming systems to labour loss.

Uganda: farming system vulnerability

AIDS IN AFRICA, BARNETT & BLAIKIE, 1992

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A CHALLENGE

• RECOGNISING DIVERSITY OF HIV/AIDS IMPACT

• NEED FOR LARGE SCALE RESPONSES THAT CAN COPE WITH DIVERSITY

• PAY ATTENTION TO THE PATHOGEN

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THE MICRO

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The epidemic curve is a macro expression of micro processes –

we must always keep these in the forefront of our thinking

KNOW YOUR PATHOGEN

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Viral replication cycle

STEP 1: BINDING

gp120 binds to:CD4 primary receptor, thenthe CCR5 or CXCR4 chemokine coreceptor

R5 tropic – macrophages,DC and T cellsX4 tropic – T cells only

Tropism linked to disease pathogenesis

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Viral load

CD4 lymphocyte count

Typical course of HIV infection and progression to AIDS

Ongoing genetic variation

Acute Asymptomatic AIDS

108 –109 virions are produced and cleared every day2x 109 CD4+ T cells are produced and destroyed every day

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VIRUS PARTICLES BUDDING FROM HUMAN CD4 CELL

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VIRAL MUTATION

LENTIVIRUS

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AGENDA FOR THINKING

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THE PROBLEM•Speed – the epidemic/endemic (?) has shown itself to be both too slow and too fast for us to respond

• Demographics – change of assumptions about the local social and economic circumstance in which policies and programmes operate

• Changes what we can assume about appropriateness of technologies – labour, capital, knowledge

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Number of people living with HIV/AIDS

in sub-Saharan Africa, 1980-2001

0

5

10

15

20

25

30

1980 1983 1986 1989 1992 1995 1998 2001

Mill

ions

Source: UNAIDS, 2002

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Projected population structure with and Projected population structure with and without the AIDS epidemic, Botswana, 2020without the AIDS epidemic, Botswana, 2020

80757065605550454035302520151050

020406080100120140 0 20 40 60 80 100 120 140

MALES FEMALE Deficits due to AIDS

Projected population structure in 2020

Population (thousands)

Age

in y

ears

Source: US Census Bureau, World Population Profile 2000

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TRANSMISSION RISK

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Lifetime risk of AIDS death for 15Lifetime risk of AIDS death for 15--yearyear--old boys, old boys, assuming unchanged or halved risk assuming unchanged or halved risk

of becoming infected with HIV, selected countriesof becoming infected with HIV, selected countries

Source: Zaba B, 2000 (unpublished data)

Current adult HIV prevalence rate

Burkina Faso

Cambodia

Côte d’Ivoire

Kenya

South Africa

Zambia

Zimbabwe

Botswana

Burkina FasoCambodia

Côte d’IvoireKenya

South AfricaZambia

Zimbabwe

Botswana

0%

20%

40%

60%

80%

100%

0% 5% 10% 15% 20% 25% 30% 35% 40%

Ris

k of

dyi

ng o

f AID

S

risk halved over next 15 years current level of risk maintained

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RATE OF DISEASE PROGRESSION

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THE VIRAL LIFE CYCLE

8-9 YEARS MEAN PROGRESSION

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INDIVIDUAL PLANNING HORIZONS

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Changes in life expectancy in selected African countries with high HIV prevalence, 1950 to 2000

South-Africa

35

40

45

50

55

60

65

1950-55 1955-601960-651965-701970-751975-801980-851985-901990-951995-00

Life

exp

ecta

ncy

at b

irth,

in y

ears

BotswanaUganda

Zambia

Zimbabwe

Source: United Nations Population Division, 1998

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A WORST CASE SCENARIO

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HIV/AIDS: SUNDERING THE BONDS OF HUMAN SOCIETY?

Epidemic curve

death and orphaning?

year 1 year 20 year 40 year 60

death and orphaning

death and orphaning

INCREASING PROBABILITY OF INFECTION

GenerationIndividual viraemia

DECREASING LIFE EXPECTANCY

Increasing possibility of acquired and transmitted viral resistance?

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NEW CIRCUMSTANCES FOR INNOVATION AND ADOPTION

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Viraemia, Epidemic Curve and Adoption

viraemia

Period of innovation and or adoption?

Is this longer or shorter than the development of viraemia?

Year 1 Year 5/6 Year 11/12

Epidemic curve

ARE THERE APPROPRIATE, AVAILABLE, ADOPTABLE AND PROVEN TECHNOLOGICAL INTERVENTIONS?

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BUT NEVER FORGET

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PROPORTION OF COMMUNITY AFFECTED?

HIV- 85%

HIV+ 15%

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ARVs AND THE FUTURE

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Are ARVs the answer?

• Yes … and …. No• The upside is that they provide a window of

opportunity for some• The downside is that:

– This window must be fully exploited within a short time period – 5-10 years?

– We do not know what to do – these are novel situations and responses must be rapid

– There is a threat of viral resistance– Pharma will not respond rapidly to African needs

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EFFECTS OF VIRAL RESISTANCE?

• A 5-10 YEAR WINDOW• URGENT NEED FOR INNOVATIVE

THINKING• RESPONSES MAY INCLUDE:

– SOME TECHNOLOGY – BUT WHAT DO WE HAVE?

– SOCIAL SUPPORT SYSTEMS– INNOVATION, INNOVATION, INNOVATION

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ARVS – TREATMENT, PREVENTION AND RESISTANCE• main use is treatment• May also have prevention effect• Risk of resistance

– acquired – transmitted

• Raises following questions:– How will ARV roll out affect resistance?– What are the implications for future impact

scenarios?

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Drug resistance in US and UK

• High-level of acquired drug resistance (around 20%) is common in the US and UK - largely reflects historical use of sequential monotherapy – Unclear relevance in modern triple therapy

era– Resistance should be uncommon if effective

regimens are administered to motivatedindividuals who have continuous access to treatment

Source: Steven G. Deeks, MD

University of California, San Francisco, A US Clinical Perspective on the Implications of Antiretroviral Drug Resistance for Resource-Constrained Settings, 2004, Institute of Medicine Workshop on Antiretroviral Drug Use in Resource-Constrained Settings

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THE PROBLEM IS TRANSMITTEDRESISTANCE

NEW YORK FEBRUARY 2005

The man, in his mid-40s, had not previously been treated for had not previously been treated for HIVHIV. He was diagnosed last December and his infection appeared to be recent, health officials said.

The man's HIV strain proved to be resistant to three of the four available types of antiviral drugs used to keep HIV in check.

While patients being treated for HIV do develop drug resistance, finding such resistance in someone who has never taken HIV drugs is "extremely rare," according to the city health department.

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“CONTINUOUS ACCESS TO TREATMENT”

• < THAN 95% COMPLIANCE SELECTS FOR RESISTANT VIRAL STRAINS

• RURAL ACCESS IS PROBLEMATIC –TREATMENT CENTRES MAY BE EFFECTIVELY INACCESSIBLE

• SMALL COMMUNITIES, LOW PRIVACY, STIGMA

• HOW LONG BEFORE WE SEE NEW EPIDEMIC OF RESISTANT HIV?

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•Danger of looking to yesterday’s solutions for today and tomorrow’s problems

• Slow pace of response – bureaucratic inertia

• Pressure to spend funds without novel thinking

• Repeating the errors of the last twenty years

• Adoption of what?

DANGERS AHEAD!

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Long Waves and Emergencies -the response

• HIV/AIDS is not like other problems in food and nutrition – it is a long wave event

• We have to recognise that the entire balance between relief, rehabilitation and development work may have changed

• The long wave of the epidemic means that policy, operations and thinking must switch into a new paradigm - we are no longer talking about an emergency-non emergency paradigm

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Strategic Tasks in the light of HIV/AIDS

• Review the relevance of current paradigms of development and relief– have ability to switch rapidly between activities

• Redefine and prioritise working with vulnerable beneficiary groups– the new destitute, the very young and adolescents

• Agricultural policy and programming– new demographics and morbidities

• Institutional response– shorter institutional memories

• Institutional audit?– How will the epidemic affect organization and employment

terms?

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THE CHALLENGES FOR THIS CONSULTATION

1. TO UNDERSTAND THE SITUATION –UNPRECEDENTED AND UNKNOWN

2. TO ENGAGE CRITICALLY WITH ESTABLISHED NARRATIVES

3. TO CONSIDER THE APPROPRIATENESSOF KNOWN TECHNOLOGIES AND APPROACHES

4. TO THINK NEW AND INNOVATIVERESPONSES TO A NOVEL AND CHANGING SITUATION

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AN EXAMPLE OF FIGHTING TODAY’S BATTLES WITH YESTERDAY’S

WEAPONS• THE PAST IS NOT NECESSARILY A

GUIDE TO FUTURE• WE HAVE TO INNOVATE – HISTORY OF

PREVENTION SHOWS US THE MISTAKES WE HAVE MADE

• “INSTALLED CAPACITY” – CONDOMS AND VACCINES

• MICROBICIDES

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IN THIS ENDEMIC IT IS NOT BUSINESS AS USUAL!

MESSAGE

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