mapping global health partnerships what they are, what

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GHP Study Paper 1: MAPPING GLOBAL HEALTH PARTNERSHIPS What they are, what they do and where they operate This paper forms part of the 2004 DFID Study: Global Health Partnerships: Assessing the Impact. Cindy Carlson DFID Health Resource Centre 27 Old Street London EC1V 9HL Tel: +44 (0) 207 251 9555 Fax: +44 (0) 207 251 9552

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GHP Study Paper 1:

MAPPING GLOBAL HEALTH PARTNERSHIPS What they are, what they do and where they operate This paper forms part of the 2004 DFID Study: Global Health Partnerships: Assessing the Impact.

Cindy Carlson DFID Health Resource Centre 27 Old Street London EC1V 9HL Tel: +44 (0) 207 251 9555 Fax: +44 (0) 207 251 9552

The DFID Health Resource Centre (HRC) provides technical assistance and information to the British Government’s Department for International Development (DFID) and its partners in support of pro-poor health policies, financing and services. The HRC is based at IHSD's UK offices and managed by an international consortium of five organisations: Ifakara Health Research and Development Centre, Tanzania (IHRDC); Institute for Health Sector Development, UK (IHSD Limited); ICDDR,B - Centre for Health and Population Research, Bangladesh; Sharan, India; Swiss Centre for International Health (SCIH) of the Swiss Tropical Institute, Switzerland. This report was produced by the Health Resource Centre on behalf of the Department for International Development, and does not necessarily represent the views or the policy of DFID. Title: Mapping Global Health Partnerships Author: Cindy Carlson

DFID Health Resource Centre 27 Old Street London EC1V 9HL Tel: +44 (0) 20 7251 9555 Fax: +44 (0) 20 7251 9552

Table of Contents Acronym List ........................................................................................................... 1 Abbreviations .......................................................................................................... 3 1. Introduction ...................................................................................................... 4 2. Definition of a Global Health Partnership....................................................... 5 3. A Working Typology ........................................................................................ 6 4. Global Mapping of GHPS................................................................................. 7 5. Limitations........................................................................................................ 8 Appendix A – Global Health Partnerships – Basic Information ........................... 9 Appendix B: Global Health Partnerships – Mapping by Country Exercise ..... 27 Appendix C – DFID Interest .................................................................................. 55

Mapping Global Health Partnerships 1

DFID Health Resource Centre

ACRONYM LIST AAI Accelerating Access Initiative to HIV Care ACHAP African Comprehensive HIV/AIDS Partnerships AHPSR Alliance for Health Policy and Systems Research AMD Alliance for Microbicide Development AMP African Malaria Partnership (GSK) APOC African Program for Onchocerciasis Control CF Concept Foundation CICCR Consortium for Industrial Collaboration in

Contraceptive Research CVP Children’s Vaccine Program at PATH DPP Diflucan Partnership Program DNDi Drugs for Neglected Diseases Initiative DVP Dengue Vaccine Project EL-MDRTBP Eli Lilly Multi-Drug Resistance Tuberculosis

Partnership EMVI European Malaria Vaccine Initiative FIND Foundation for Innovative New Diagnostics GAEL Global Alliance to Eliminate Leprosy GAELF Global Alliance for the Elimination of Lymphatic

Filiariasis GAIN Global Alliance for Improved Nutrition GAVI Global Alliance for Vaccines and Immunization GBC Global Business Coalition on HIV/AIDS GCM Global Campaign for Microbicides GCWA Global Coalition on Women and AIDS GET 2020 WHO Alliance for the Global Elimination of Trachoma GFATM Global Fund to Fight AIDS, TB and Malaria GFUNC Gates Foundation/U. of North Carolina Partnership for

the Development of New Drugs GMAI Global Media AIDS Initiative GMP Global Microbicide Project GOARN Global Outbreak Alert and Response Network GPEI Global Polio Eradication Initiative GPHW Global Public-Private Partnership for Hand Washing

with Soap GRI Global Reporting Initiative GWEP Guinea Worm Eradication Program HACI Hope for African Children Initiative HATC HIV/AIDS Treatment Consortium (Clinton Foundation

AIDS Initiative) HHVI Human Hookworm Vaccine Initiative HIN Health InterNetwork HTVN HIV Vaccine Trials Network IAVI International AIDS Vaccine Initiative IDRI Infectious Disease Research Institute IOWH Infectious Disease Research Institute IPAAA International Partnership Against AIDS in Africa IPM International Partnership for Microbicides ITI International Trachoma Initiative JPMW Japanese Pharmaceutical, Ministry of Health, WHO

Malaria Drug Partnership

Mapping Global Health Partnerships 2

DFID Health Resource Centre

LAPDAP Name of anti-malarial treatment developed in public-

private partnership LFI Lassa Fever Initiative MDP 1 Mectizan Donation Program MDP 2 Microbicides Development Programme MI Micronutrient Initiative MIM Multilateral Initiative on Malaria MMV Medicines for Malaria Venture MNT Campaign to Eliminate Maternal and Neo-natal

Tetanus MTCT-Plus Maternal to Child Transmission MVI Malaria Vaccine Initiative MVP Meningitis Vaccine Programme NetMark Plus (insecticide treated net social marketing programme)

PARTNERS Partnership Against Resistant Tuberculosis: A Network for Equity and Resource Strengthening

PDVI Paediatric Dengue Vaccine Initiative PneumoADIP Pneumococcal Accelerated Development and

Introduction Plan RBM Roll Back Malaria SCI Schistosomiasis Control Initiative SF Secure the Future Initiative SIGN Safe Injection Global Network Step Forward (international pharmaceutical company initiative to

support AIDS orphans) TROPIVAL (French based R&D partnership for neglected

diseases) VDP Viramune Donation Program VF Vaccine Fund Vision 2020 (global initiative to eliminate unnecessary blindness)

VITA Vitamin A Global Initiative VVM Vaccine Vial Monitors WPESS WHO Programme to Eliminate Sleeping Sickness

Mapping Global Health Partnerships 3

DFID Health Resource Centre

ABBREVIATIONS APOC African Programme for Onchocercaisis Control BPD Building Partnerships for Development CCM Country coordinating mechanism CCPP Child Care Partnership Project CEO Chief Executive Officer DAC Development Assistance Committee (OECD) DETR Dept of the Environment, Transport and the Regions DFID D Department for International Development DJSI Jones Sustainability Index DOTS Directly Observed Therapy, Short Course EPI Expanded Programme of Immunization GAEL Global Alliance to Eliminate Leprosy GAELF Global Alliance to Eliminate Lymphatic Filariasis GAIN Global Alliance to Improve Nutrition GAVI Global Alliance for Vaccines and Immunisation GDF Global TB Drug Facility GFATM Global fund to fight AIDS, Tuberculosis and Malaria GFP Global Funds and Partnerships GHP The Global Health Partnership GPEI Global Polio Eradication Initiative IAVI International AIDS Vaccine Initiative ICC Inter-agency Coordinating Committee IDA International development association IMCI Integrated Management of Childhood Illness IMO/Pieca International Maritime Organisation / International Petroleum

Industry Environmental Conservation Association

ITI International Trachoma Initiative M&E Monitoring and evaluation MIM Multilateral Initiative on Malaria MOH Ministry of Health MOU Memorandum of Understanding MSC Maritime Stewardship Council. MTEF Medium Term Expenditure Framework NGO Non-Governmental Organisation NID National immunisation day OCP Onchocerciasis Control Programme PEI Polio Eradication Initiative PEPFAR Presidents Emergency Program for Aids Relief PEST In text already PPP public-private partnerships PRSP (Interim) Poverty Reduction Strategy Paper RBM Roll Back Malaria SMART Specific, Measurable, Achievable, Realistic and Time-Bound SWAP Sector Wide Approaches TA Technical Assistance TDR Tropical Disease Research TOR Terms of Reference WEF World Economic Forum WHA World Health Assembly WHOEB WHO Executive Board

Mapping Global Health Partnerships 4

DFID Health Resource Centre

INTRODUCTION The purpose of mapping Global Health Partnerships (GHPs) is to provide a common understanding of what GHPs are, how they might be classified and how they operate. This paper explains the definition used by the project team in their work on ‘Assessing the Impact of GHPs’, outlines a classification system of GHPs to help with analysis of their impact and maps where GHPs are working globally.

Mapping Global Health Partnerships 5

DFID Health Resource Centre

1. DEFINITION OF A GLOBAL HEALTH PARTNERSHIP Previous work1 in this series defines the concept of Global Health Partnership in a broad manner:

Partnership: the key criterion is a collaborative relationship among multiple organisations in which risks and benefits are shared in pursuit of a shared goal. The focus is on more formal collaborative ventures and not exclusively on public-private partnerships, although these constitute the majority. Some important global health initiatives that are not partnerships per se, such as the World Bank’s MAP, are not included.

Health: The goal of the partnerships has to concern the redress of health problems of significance for the poor in low- and middle-income countries.

‘Global’ is interpreted to capture initiatives that extend across or transcend national boundaries. In this paper for example, APOC – the African Programme for Onchocerciasis Control – is included as a GHP addressing a neglected disease, though technically it operates only within Africa rather than globally. It forms the main operating component of the Global Partnership to Eliminate River Blindness.

The World Bank’s definition of global programs are those partnerships and related initiatives whose benefits cut across more than one region of the world, and in which the partners reach explicit agreements on objectives; agree to establish a new (formal or informal) organization; generate new products or services; and contribute dedicated resources to the program2. This is a tighter definition but can generally be applied to the GHPs covered in the study, other than the geographical limitation. See Appendix A for the full list of GHPs and their principal objectives.

1 Buse K., 2004. Global Health Partnerships: Mapping a shifting terrain. London: DFID Health Resource Centre.

2 Operations Evaluation Department, World Bank. The World Bank’s Approach to Global Programs: An Independent Evaluation. The World Bank, August 1, 2002.

Mapping Global Health Partnerships 6

DFID Health Resource Centre

2. A WORKING TYPOLOGY A number of typologies have been suggested for classifying the different GHPs (Tidewater 2003; Buse 2004). The project team considered each of these, attempting to classify nineteen GHPs of interest to DFID (see below) against these existing typologies. The classification exercise highlighted a number of problems with previous typologies.. In this study, the project team adopted a typology proposed by DFID with the following four categories to classify GHPs: • Research and Development: This includes GHPs that are involved in product

discovery and development of new therapies (vaccines, treatments etc.); • Technical assistance/service support: This includes GHPs that provide drug

donations, support improved service access and give technical assistance; • Advocacy (national and international levels): includes GHPs who advocate for

increased international and national response to specific diseases, who fund-raise for specific control programmes etc.

• Financing: includes GHPs who provide funds for specific programmes (not as donations).

GHPs have then been classified against this typology as to whether they have a primary or secondary role in these areas. See Appendix B for tables showing GHP classification. This classification is based on the stated objectives of each GHP, as well as an understanding of the modus operandi of each one.

Mapping Global Health Partnerships 7

DFID Health Resource Centre

3. GLOBAL MAPPING OF GHPS The project team also mapped where Global Health Partnerships provide support on a country by country basis, and analysed this against epidemiological and socio-economic information of these countries. The initial global mapping was done early in the project in order to inform decisions as to which countries to include in the country case study work. Key findings are that the strongest correlation for a high number of GHPs operating in a country is the region the country belongs to, with Africa having consistently the highest number of GHPs per country, followed by Asia (East, Southeast and Central). Eastern and Central European countries have the lowest number of GHPs. There appears to be a correlation between the per capita GDP and the number of GHPs operating in a country. In general, the lower the per capita GDP, the greater the number of GHPs, though this is inconsistent. There is a moderate correlation between the prevalence rate or case number of a disease and the presence of the relevant GHP, as would be expected. However, without looking at GFATM support on a country by country basis, it is impossible to assess whether appropriate levels of GFATM funding are being received by each of its three target diseases in each country where it is present, based on the epidemiology of the disease in that country, There is no apparent correlation between the number and type of GHPs operating in a country and:

- the type of government as measured on a scale of –10 (authoritarian) to +10 (fully democratic); or

- the percentage of spending on the health sector coming from the public purse.

Information from the full mapping exercise and analysis can be found in Appendix C.

Mapping Global Health Partnerships 8

DFID Health Resource Centre

4. LIMITATIONS The team encountered a number of constraints in trying to identify a useful typology as well as in mapping and analysing GHPs on a global level. These included the following: • While the list of GHPs is meant to be as exhaustive as possible, some are difficult

to identify and new ones are set up on a frequent basis. Also, there are definitional difficulties and some of the organisations included on the list in Appendix A may not fit with everyone’s interpretation of a GHP.

• GHPs are complex beasts and are not easily slotted into specific boxes on a table. Also, GHPs may change how they work depending on whether they are assessed at an international or national level. As such, the proposed classification found in Appendix B is open for further debate and discussion. For the purposes of this paper, it is their international ‘face’ that is being considered.

• The global mapping exercise focused primarily on those countries that appear to have the greatest number of active GHPs in-country. As such, not all countries have complete epidemiological or socio-economic information provided.

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ww

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s.org

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GA

VI

Mis

sio

n: to

protect children of all nations and of all socioeconomic levels against vaccine-preventable diseases

• Improve access to sustainable immunization services

• Expand the use of all existing safe and cost-effective vaccines, and promote delivery of other appropriate

interventions at immunization contacts

• Support the national and international accelerated disease control targets for vaccine-preventable diseases

• Accelerate the development and introduction of new vaccines and technologies

• Accelerate R&D efforts for vaccines needed primarily in developing countries

• Make immunization coverage a centerpiece in international development efforts

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rogra

ms

that

use

we

ll-e

sta

blis

hed

tre

atm

en

ts,

inclu

din

g

sing

le d

ose

s of n

evira

pin

e a

dm

inis

tere

d t

o t

he p

regna

nt

mo

ther

and infa

nt

To p

rovid

e t

ech

nic

al a

ssis

tance, a

dd

itio

na

l sta

ff tra

inin

g if re

qu

ired

, overs

igh

t, a

nd

dru

gs inclu

din

g a

ntire

tro

vir

al t

hera

py

MV

I

ww

w.m

ala

riavacci

ne.

org

/

To a

cce

lera

te t

he d

evelo

pm

en

t of

mala

ria v

acci

ne

s a

nd e

nsure

th

eir

ava

ilab

ility

and a

cce

ssi

bili

ty in th

e d

evelo

pin

g w

orl

d

To a

sse

ss

the m

ost pro

mis

ing m

ala

ria

va

ccin

e c

an

did

ate

s

To a

dvan

ce

th

e c

reation o

f com

bin

ation

an

d m

ulti-va

lent vaccin

es

To im

pro

ve th

e in

ve

stm

ent

environ

men

t fo

r m

ala

ria

va

ccin

e d

eve

lopm

ent a

nd d

eliv

ery

MV

P

ww

w.m

enin

gvax.

org

/

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limin

ate

epid

em

ic m

en

ingitis

as a

p

ub

lic h

ealth

pro

ble

m in

su

b-S

ah

ara

n A

fric

a th

rough

th

e de

ve

lopm

en

t, te

stin

g

licen

sure

, a

nd w

ide

spre

ad u

se o

f co

nju

gate

men

ingo

cocca

l vaccin

es

To d

eve

lop m

enin

go

cocca

l co

nju

gate

va

ccin

es

that

are

appro

pria

te f

or

use

in A

fric

a

To c

reate

path

wa

ys f

or

the

lic

en

sure

of

va

ccin

es

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ssure

pro

du

ctio

n in

suff

icie

nt

volu

me a

t a p

rice

th

at fa

cili

tate

s w

ide u

se in

Afr

ica

To m

onito

r th

e e

ffe

ctiv

en

ess

and s

afe

ty o

f th

e v

acci

ne

s in

contr

olle

d c

linic

al tr

ials

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vestig

ate

inn

ova

tive w

ays

to

fin

an

ce t

he

pro

cure

men

t of

va

ccin

es t

hro

ugh lo

ca

l, co

untr

y, a

nd

oth

er

glo

bal pro

gra

ms

To intr

odu

ce t

he v

acci

ne

s t

hro

ug

h m

ass

and

ro

utin

e im

mu

niz

ation

in s

yne

rgy

with o

ther

pu

blic

he

alth p

rogra

ms

NetM

ark

PLU

S

ww

w.n

etm

ark

afr

ica.o

rg/

To r

ed

uce

the

im

pa

ct o

f m

ala

ria i

n s

ub-S

ah

ara

n A

fric

a t

hro

ugh t

he i

ncre

ased

use

an

d s

ust

ain

ab

le s

up

ply

of

insecticid

e

treate

d m

osq

uito

ne

ts (

ITN

s),

an

d insectici

de

tre

atm

en

ts k

its f

or

ne

ts

To s

tren

gth

en a

nd s

usta

in,

thro

ug

h c

olla

bo

rative

re

sea

rch

an

d t

rain

ing,

the c

ap

ab

ility

of

ma

lari

a e

nde

mic

cou

ntr

ies in

Afr

ica

to

carr

y o

ut

researc

h r

equ

ired t

o d

eve

lop

an

d im

pro

ve t

oo

ls f

or

ma

lari

a c

on

tro

l. •

To r

ais

e in

tern

ation

al pub

lic a

ware

ne

ss

of th

e p

roble

m o

f m

ala

ria

To p

rom

ote

glo

ba

l com

mun

ica

tion

an

d c

o-o

pera

tio

n in m

ala

ria

re

sea

rch

and tra

inin

g

To e

nsure

re

searc

h fin

din

gs a

re a

pp

lied t

o m

ala

ria t

reatm

ent

and c

on

trol

PA

RT

NE

RS

w

ww

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rce.o

rg/tbh

om

e.h

tml

Dem

onst

rate

th

e s

ucc

ess

of

TB

contr

ol p

rog

ram

s t

hat

com

bin

e D

OT

S w

ith c

on

trol of

MD

R-T

B in

Peru

and

Tom

sk a

nd t

ake

this

inte

gra

ted T

B c

ontr

ol p

rogra

m t

o s

cale

in

Peru

Define a

nd

esta

blis

h t

he

ne

cessa

ry infr

astr

uct

ure

in P

eru

to s

ust

ain

a s

ucc

essfu

l in

tegra

ted p

rogra

m a

fter

the

pro

ject

end

s;

define t

he p

ara

llel in

fra

str

uct

ure

tha

t w

ill b

e r

equ

ired t

o e

xpa

nd a

nd s

usta

in t

he

pro

gra

m in T

om

sk a

fter

the p

roje

ct e

nd

s •

Art

icu

late

th

e c

om

pone

nts

of

a r

eplic

ab

le,

ge

neri

c m

ode

l, d

raw

ing o

n t

he l

esso

ns f

rom

Peru

and

Russia

, fo

r in

teg

rate

d

pro

gra

ms t

hat

cou

ld b

e r

ep

lica

ted

in o

ther

hig

h-b

urd

en

cou

ntr

ies,

an

d p

rovid

e a

meth

od

olo

gy

for

do

ing s

o

Pro

vid

e str

ate

gie

s a

nd

a d

em

onstr

atio

n pla

tform

to

st

ren

gth

en th

e g

loba

l T

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ntr

ol

eff

ort

th

rou

gh le

sson

s fr

om

th

e

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g G

lobal H

ealth P

art

ners

hip

s

23

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ID H

ealth R

esourc

e C

entr

e

PA

RT

NE

RS

pro

ject

PD

VI

ww

w.p

dvi.org

/

To ra

ise a

ware

ne

ss

an

d w

ork

with public

an

d p

rivate

part

ne

rs in

th

e N

ort

h and th

e S

outh

in

ord

er

to accele

rate

the

develo

pm

en

t an

d i

ntr

od

uctio

n o

f a

de

ng

ue v

accin

e t

hat

is a

ppro

pri

ate

, safe

an

d a

ccessi

ble

to

po

or

ch

ildre

n i

n e

nde

mic

co

untr

ies

Con

duct

po

licy

stu

die

s t

o b

ett

er

unde

rsta

nd

nation

al p

rioritie

s o

n d

eng

ue

Coo

rdin

ate

cou

ntr

y surv

eys

nee

ded t

o b

ett

er

define

th

e b

urd

en o

f de

ngu

e illn

ess

Com

mis

sio

n m

ulti-dis

ciplin

ary

ana

lyse

s o

n t

he i

mpa

ct

of

den

gue

to b

ett

er

defin

e s

ocia

l a

nd e

cono

mic

co

sts

and

ma

rke

t pote

ntials

for

ped

iatr

ic d

en

gu

e v

acci

ne

s •

Pre

pa

re a

nd l

aun

ch a

scie

ntific b

lue

print

ch

art

ing

th

e c

halle

nge

s (

4 s

train

s,

safe

ty)

and o

pp

ort

un

itie

s (

bio

tech

nolo

gy,

new

va

ccin

e a

ppro

ach

es)

that

mu

st b

e m

et to

achie

ve a

safe

, eff

ect

ive

an

d a

fford

able

va

ccin

e

Sup

port

R&

D (

pha

se 3

fie

ld s

ite

s, s

afe

ty,

new

va

ccin

es)

and e

nh

an

ce d

evelo

pin

g c

ou

ntr

y scie

nce c

apa

city

Work

and pla

n ahe

ad w

ith

m

an

y sta

keh

old

ers

a

nd

org

aniz

atio

ns to

a

ccele

rate

th

e in

trod

uctio

n o

f a p

edia

tric

den

gu

e

vacc

ine in

en

de

mic

co

untr

ies

Pneum

oA

DIP

w

ww

.pre

ventp

neum

o.

org

Acce

lera

te t

he e

valu

atio

n o

f, a

nd a

ccess

to, n

ew

life

savin

g p

ne

um

ococca

l va

ccin

es f

or

the

world

’s p

oore

st c

hild

ren

Est

ab

lish

the

valu

e o

f va

ccin

atio

n b

y d

em

on

str

ating

the

burd

en o

f m

en

ingitis

and p

neum

on

ia c

au

se

d b

y p

neu

mo

co

cca

l bacte

ria

an

d d

em

on

stra

te t

he v

alu

e o

f pre

ve

nting it th

rou

gh

vacci

na

tion

Com

mun

icate

kn

ow

led

ge a

bou

t b

urd

en

of

dis

ease a

nd t

he v

alu

e o

f va

cci

na

tio

n b

y a

ssu

rin

g t

hat

the

re

sea

rch

ed b

ase

d

evid

ence is c

om

mu

nic

ate

d e

ffe

ctive

ly t

o k

ey

de

cisio

n m

akers

th

rou

gh a

ppro

priate

an

d e

ffe

ctive

co

mm

unic

ation c

hann

els

Deliv

er

the

valu

e o

f th

e v

acc

ine b

y a

ssuri

ng t

hat

there

is

a p

red

icta

ble

su

pply

of

qua

lity

vaccin

e t

o a

n a

ffo

rdab

le p

rice

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an a

de

quate

sys

tem

to d

eliv

er

it t

o t

he c

hild

ren

wh

o n

eed it

RB

M

ww

w.r

bm

.who.int/part

ners

hip

/

To in

crea

se

glo

ba

l polit

ical co

mm

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ent to

ta

ckle

ma

lari

a m

ore

effe

ctive

ly th

roug

h c

oord

inate

d a

ction

To a

ssi

st

the h

ea

lth s

ect

or

to f

ocu

s re

so

urc

es o

n h

igh

dis

ea

se b

urd

en

s su

ch a

s m

ala

ria a

nd c

ost-

eff

ect

ive i

nte

rve

ntion

packa

ge

To in

crea

se

the

com

mitm

ent, a

mon

g th

e r

ese

arc

h c

om

mu

nity

and p

rivate

secto

r •

To d

isco

ver

new

pro

du

cts

and c

ost eff

ect

ive

co

ntr

ol to

ols

SC

I w

ww

.schis

to.o

rg/

To e

ncoura

ge d

eve

lop

men

t of a s

ust

ain

ab

le s

chis

toso

mia

sis

co

ntr

ol p

rogra

mm

e in

sub S

ah

ara

n A

fric

a

In t

he s

ele

cte

d c

ou

ntr

ies:

(1)

to r

each a

t le

ast

75

% o

f sch

oo

l-a

ge

ch

ildre

n a

nd o

ther

hig

h-r

isk g

roup

s w

ith c

hem

oth

era

py

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ziqu

ante

l an

d a

lben

da

zole

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du

ce s

chis

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mia

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late

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orb

idity

in h

igh r

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roups;

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red

uce

pre

vale

nce a

nd

in

tensity

of

sch

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iasi

s in

fectio

ns;

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red

uce

bu

rden

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ue t

o in

testin

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lmin

ths in

the t

arg

ete

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tions

Cre

ate

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em

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or

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To p

rom

ote

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nth

elm

inth

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ma

nag

em

en

t in

the

re

gula

r h

ea

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yste

m

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w

ww

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ture

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To p

revent

HIV

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Sexu

ally

Tra

nsm

itte

d I

nfe

ctio

ns

To

redu

ce

th

e i

mp

act

of

HIV

/AID

S (

in S

outh

Afr

ica

, B

ots

wana

, N

am

ibia

, Le

soth

o,

Sw

azi

lan

d,

Sen

ega

l, C

ote

d'Iv

oire

, M

ali

and

Burk

ina F

aso

) o

n ind

ivid

ua

ls b

y e

mp

ow

eri

ng infe

cted a

nd a

ffe

cte

d w

om

en

an

d c

hild

ren

Mappin

g G

lobal H

ealth P

art

ners

hip

s

24

DF

ID H

ealth R

esourc

e C

entr

e

com

/ •

To e

xp

an

d a

cce

ss t

o tre

atm

en

t in

a n

um

ber

of

wa

ys

To

pro

vide

gra

nts

for

me

dic

al

rese

arc

h a

nd

com

mun

ity

ou

trea

ch

an

d e

du

cation

. It a

lso e

ncoura

ge

s a

nd

fu

nds c

apa

city-

build

ing

ed

uca

tion

al p

rogra

ms

in m

ed

icin

e,

hea

lth

care

and

pu

blic

hea

lth

SIG

N

ww

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ho.int/in

ject

ion

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ty/e

n/

Cre

ate

and m

ain

tain

a c

om

mon s

trate

gic

fra

me

work

Pro

mo

te e

xch

ang

e o

f id

ea

s a

nd info

rmatio

n to

en

cou

rage

re

sea

rch

on inn

ova

tive

, co

st-e

ffect

ive

ness s

olu

tion

s

Coo

rdin

ate

advocacy

and c

om

mun

ica

tio

n s

trate

gie

s.

Ste

p F

orw

ard

w

ww

.ste

pfo

rward

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hild

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e.h

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To

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pro

ve t

he

liv

es o

f orp

han

s a

nd v

uln

era

ble

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ildre

n a

ffe

cte

d b

y th

e A

IDS

pand

em

ic,

to i

ncre

ase

the

ir c

ha

nce

s o

f no

t ju

st s

urv

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g th

e im

pa

ct

of

AID

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ut of

be

com

ing

pro

ductive m

em

bers

of th

eir s

ocie

tie

s •

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rove lo

cal he

alth s

erv

ices

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infr

ast

ructu

re

Incr

ease

volu

nta

ry H

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ou

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nd t

est

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erv

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s •

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en

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rim

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con

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rog

ram

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Addre

ss b

asic

com

mu

nity

needs

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lean

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o g

en

era

te n

ee

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e

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p

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art

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hip

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ww

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sure

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s acce

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en

t a

nd

cure

Sto

p T

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m T

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uce

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oll

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blic

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d i

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rovid

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tho

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rovid

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20

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: D

FID

Health R

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en

tre

.

Mapping Global Health Partnerships 27

DFID Health Resource Centre

APPENDIX B: GLOBAL HEALTH PARTNERSHIPS – MAPPING BY COUNTRY EXERCISE Purpose To provide a global picture of where Global Health Partnerships provide support on a country by country basis, and with an overview of key country characteristics that might effect GHP support. Methodology The mapping exercise looked at a number of variables, which included:

• Global Health Partnerships • Country GDP per capita • Prevalence or cases of specific diseases of interest to target GHPs • Demographic characteristics • Poverty characteristics • Political characteristics • Health system characteristics, in terms of levels of financing.

These were then analysed by converting the table into a spreadsheet and sorting the data, using the number of GHPs as the independent variable, and all other factors as dependent variables. Full information was gathered for only a selection of countries in each region, focusing on those countries of greatest interest to DFID, as well as those with the largest number of GHPs providing support. Findings As far as the type of government is concerned, as measured on a scale of –10 (authoritarian) to +10 (fully democratic), there is no apparent correlation between the number and type of GHPs operating when looked at by type of government As far as public spending on health is concerned, there is no correlation between the percentage of spending on the health sector coming from the public purse and the number or type of GHPs operating in a country. There is a moderate correlation between the prevalence rate or case number of a disease and the presence of the relevant GHP, as would be expected. However, it is impossible to state whether GFATM is providing appropriate levels of funding for each of its three target diseases in each country where it is present, based on the epidemiology of the disease in that country, without looking at GFATM support on a country by country basis. There would appear to be a correlation between the per capita GDP and the number of GHPs operating in a country, though this is inconsistent. The strongest correlation is between the what region the country is part of and the number of GHPs operating in that country, with Africa having consistently the largest number of GHPs per country, followed by Asia (East, Southeast and Central). Eastern and Central European countries have the lowest number of GHPs.

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-5

89

51

38

Mappin

g G

lobal H

ealth P

art

ners

hip

s

32

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Eri

trea

RB

M,

GA

VI,

GA

EL,

GF

AT

M,

(IP

AA

A),

(V

DP

)

US

$ 1

64

2.8

0%

347

9

249

0

Pop

ula

tion

=

3.8

m

illio

n

A

PG

R

=

3.1

%<

15-

45.7

%

Life

exp

ecta

ncy

=

52.7

IMR

= 7

2/1

00

0

%<

$1/d

ay=

n/a

Gin

i in

de

x: n

/a

-6

24

13

11

Eth

iopia

A

PO

C,

DO

O,

GA

VI,

GE

T-

202

0,

GW

EP

, G

FA

TM

, (I

PA

AA

),

ITI,

MN

T,

MV

P,

NetM

ark

-P

lus,

RB

M,

Sto

p

TB

, (V

DP

)

US

$ 9

5

6.4

1%

556

179

13

Pop

ula

tion

=

67.3

m

illio

n

A

PG

R

=

2.4

%<

15–

45.8

%

Life

exp

ecta

ncy

=

45.5

IM

R=

116/1

00

0 %

<$1/d

ay=

81.9

%G

ini

inde

x =

57.2

1

20

7

13

Gabon

AP

OC

, G

FA

TM

, (I

PA

AA

),

(VD

P)

US

$

3,4

97

0

4

196

130

66

Mappin

g G

lobal H

ealth P

art

ners

hip

s

33

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Gam

bia

D

PP

, G

AV

I,

GA

EL,

GF

AT

M,

(IP

AA

A),

(L

FI)

, M

VP

, (V

DP

)

US

$ 2

91

0

-5

52

24

28

Ghana

AM

P,

CF

, D

PP

, G

AE

LF

, G

AV

I,

GB

C,

GE

T-

202

0,

GW

EP

, G

FA

TM

, (I

PA

AA

),

ITI,

(L

FI)

N

etM

ark

-P

lus,

RB

M,

SC

I,

(VD

P).

W

PE

SS

US

$ 2

69

PLA

=

3%

Mala

ria

=

15,3

44/1

00,0

00

TB

=

145/1

00,0

00

15,3

44

145

0.3

8,2

85

Pop

ula

tion

=

20

m

illio

n

AP

GR

=

2.0

%<

15–

40.6

%

Life

exp

ecta

ncy

=

57.9

IMR

= 5

7/1

00

0

%<

$1/d

ay=

44.8

%G

ini

inde

x=39.6

2

45

21

24

Guin

ea

GA

VI,

GF

AT

M,

(IP

AA

A),

(L

FI)

, M

VP

, (V

DP

),

WP

ES

S

US

$ 3

94

0

-1

52

30

22

Mappin

g G

lobal H

ealth P

art

ners

hip

s

34

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Guin

ea-B

isau

GA

VI,

GF

AT

M,

(IP

AA

A),

M

VP

, (V

DP

)

US

$ 1

62

0

6

54

41

13

Kenya

AP

OC

, D

PP

, G

AV

I,

GA

WLF

, G

BC

, G

FA

TM

, H

AC

I,

(IP

AA

A),

M

TC

T-

PLU

S,

(NetM

ark

-Plu

s),

R

BM

, S

CI,

Sto

p

TB

, (V

DP

) W

PE

SS

US

$ 3

71

15%

545

249

0.1

0

0

Pop

ula

tion

=

31.1

m

illio

n

A

PG

R

=

1.2

%<

15–

42.7

%

Life

exp

ecta

ncy

=

44.6

IMR

= 78/1

00

0 %

<$1/d

ay

23%

Gin

i in

de

x =

44.5

-2

58

37

21

Lesoth

o

DP

P,

GA

VI,

GF

AT

M,

(IP

AA

A),

S

F,

(VD

P)

US

$ 3

86

0.1

0

in t

ransitio

n

100

73

27

Mappin

g G

lobal H

ealth P

art

ners

hip

s

35

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Lib

eri

a

AP

OC

, G

AV

I,

GF

AT

M,

(IP

AA

A),

(L

FI)

, (V

DP

),

WP

ES

S

N/a

0

0

33

22

11

Mad

ag

ascar

GA

VI,

GF

AT

M,

(IP

AA

A),

(V

DP

)

US

$ 2

88

0

7

108

100

8

Mala

wi

AP

OC

, D

PP

, G

AV

I,

GE

T-

202

0,

GF

AT

M,

HA

CI,

(IP

AA

A),

R

BM

, S

CI,

(VD

P)

US

$ 1

66

15%

25,9

48

242

0.5

0

Pop

ula

tion

=

11.6

m

illio

n

AP

GR

=

1.9

%<

15–

45.9

%

Life

exp

ecta

ncy

=

37.5

IMR

=

11

4/1

00

0

%<

$1/d

ay=

41.7

%G

ini

inde

x =

50.3

7

47

29

18

Mappin

g G

lobal H

ealth P

art

ners

hip

s

36

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Mali

AM

P,

GA

VI,

GE

T-

202

0,

GF

AT

M,

GW

EP

, (I

PA

AA

),

ITI,

(LF

I),

MV

P,

NetM

ark

-P

lus,

SF

, R

BM

, S

CI,

(VD

P)

US

$ 2

39

1.6

5%

400

8

295

0.5

82

4

Pop

ula

tion

=

12.3

m

illio

n

AP

GR

=

3.1

%<

15–

49.2

%

Life

exp

ecta

ncy

=

48.6

IMR

=

14

1/1

00

0

%<

$1/d

ay=

72.8

%G

ini

inde

x =

50.5

6

31

15

16

Mauri

tania

G

AV

I,

GF

AT

M,

GW

EP

, (I

PA

AA

),

MV

P,

(VD

P)

US

36

6

0.3

13

-6

73

22

51

Mozam

biq

ue

AP

OC

, C

F,

DP

P,

GA

VI,

GF

AT

M,

HA

TC

, (I

PA

AA

),

MT

CT

-P

lus,

(NetM

ark

-Plu

s),

S

top

TB

, (V

DP

)

US

$ 2

00

13%

18,1

15

125

3.4

0

Pop

ula

tion

=

18.2

m

illio

n

AP

GR

=

1.5

%<

15-4

4%

Life

exp

ecta

ncy

=

38

IMR

=

12

5/1

00

0

%<

$1/d

ay=

37.9

%G

ini

inde

x =

39.6

6

46

36

10

Mappin

g G

lobal H

ealth P

art

ners

hip

s

37

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Nam

ibia

D

PP

, G

FA

TM

, (I

PA

AA

),

SF

, (V

DP

)

US

$

1,7

30

0

6

311

161

150

Nig

er

GP

EI,

GA

VI,

GF

AT

M,

GW

EP

, IT

I, (

LF

I),

MV

P,

SC

I,

(VD

P)

US

$ 1

75

n/a

169

3

150

0.7

27

9

Pop

ula

tion

=

11.1

m

illio

n

AP

GR

=

3.6

%<

15-

49.9

%

Life

exp

ecta

ncy

=

46.2

IM

R

=

15

6/1

00

0

%<

$1/d

ay=

61.4

%G

ini

inde

x =

50.5

4

27

13

14

Nig

eri

a

AP

OC

, G

AE

LF

, G

AV

I,

GE

T_20

20,

GF

AT

M,

GP

EI,

GW

EP

, H

AT

C,

(IP

AA

A),

(L

FI)

, M

NT

, M

VP

, N

etM

ark

-P

lus,

RB

M,

SC

I,

Sto

p

TB

, (V

DP

),

WP

ES

S

US

$ 3

19

5.8

0%

30

196

0.5

1,4

59

Pop

ula

tion

=

11

7.8

m

illio

n

A

PG

R

=

2.3

%<

15-

44.8

%

Life

exp

ecta

ncy

=

51.5

IMR

=

11

0/1

00

0

%<

$1/d

ay=

70.2

%G

ini

inde

x =

50.6

4

35

10

25

Mappin

g G

lobal H

ealth P

art

ners

hip

s

38

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Rw

anda

AP

OC

, D

PP

, G

AV

I,

GF

AT

M,

HA

TC

, (I

PA

AA

),

MT

CT

-P

lus,

(VD

P)

US

$19

6

0

-4

36

18

18

Sao

Tom

e

&

Pri

ncip

e

GA

VI,

(IP

AA

A),

(V

DP

)

US

$ 3

11

0

45

34

11

Sene

gal

DP

P,

GA

VI,

GF

AT

M,

GP

HW

, H

AT

C,

(IP

AA

A),

(L

FI)

, M

VP

, N

etM

ark

-P

lus,

RB

M,

SF

, (V

DP

)

US

$ 4

76

0

8

72

40

32

Seych

elle

s

(IP

AA

A),

(V

DP

)

0

470

358

112

Mappin

g G

lobal H

ealth P

art

ners

hip

s

39

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Sie

rra L

eo

ne

GA

VI,

GA

EL,

GF

AT

M,

(IP

AA

A),

(L

FI)

, M

TC

T-

Plu

s,

MV

P,

(VD

P),

W

PE

SS

US

$ 1

46

0.7

0%

44,6

95 (

6)

258

3.5

0

Pop

ula

tion

=

4.6

m

illio

n

AP

GR

=

2.4

%<

15-4

4%

Life

exp

ecta

ncy

=

34.2

IMR

= 1

82

%<

$1/d

ay=

57%

Gin

i in

de

x =

62.9

inte

rregn

um

31

3

28

South

Afr

ica

CF

, D

PP

, G

BC

, G

FA

TM

, H

AT

C,

(IP

AA

A),

M

TC

T-

Plu

s,

Sto

p

TB

, (V

DP

)

US

$

2,6

20

0

0

G

ini

inde

x:

59.3

9

367

184

183

Suda

n

AM

P,

AP

OC

, G

AV

I,

GA

EL,

GA

ELF

, G

FA

TM

, G

WE

P,

(IP

AA

A),

IT

I, M

VP

, R

BM

, (V

DP

),

WP

ES

S

US

$ 3

95

2.6

0%

13,9

34

142

0.3

20,2

99

Pop

ula

tion

=

32.2

m

illio

n

AP

GR

=

1.8

%<

15-

39.9

%

Life

exp

ecta

ncy

=

55.6

IMR

= 6

5/1

00

0

N/a

Gin

i in

de

x: n

/a

-7

43

9

34

Mappin

g G

lobal H

ealth P

art

ners

hip

s

40

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Sw

azaila

nd

DP

P,

GA

EL,

GB

C,

GF

AT

M,

(IP

AA

A),

S

F,

(VD

P)

US

$

1,1

75

0

0

119

86

33

Tan

zania

A

PO

C,

DP

P,

GA

VI,

GA

ELF

, G

FA

TM

, H

AT

C,

(IP

AA

A),

IT

I,

RB

M,

SC

I,

Sto

pT

B,

Ste

p

Forw

ard

, (V

DP

),

WP

ES

S, U

S$ 2

71

7.8

3%

1,2

07

212

1.6

0

Pop

ula

tion

=

35.6

m

illio

n

AP

GR

=

1.8

%<

15-

45.6

%

Life

exp

ecta

ncy

=

43.3

IMR

=

10

4/1

00

0

%<

$1/d

ay=

19.9

%G

ini

inde

x =

38.2

2

36

22

14

Tog

o

AM

P,

GA

VI,

GA

ELF

, G

FA

TM

, G

WE

P,

(IP

AA

A),

(L

FI)

, (V

DP

)

US

$ 2

70

0.9

62

2

-2

35

15

20

Mappin

g G

lobal H

ealth P

art

ners

hip

s

41

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

U

gan

da

AM

P,

AP

OC

, D

PP

, G

AV

I,

GA

EL,

GA

ELF

, G

BC

, G

ET

-202

0,

GF

AT

M,

GW

EP

, H

AC

I,

HA

TC

, (I

PA

AA

),

MT

CT

-P

lus,

NetM

ark

-P

lus,

SC

I,

Sto

p

TB

, (V

DP

),

WP

ES

S

US

$ 2

49

5%

46

187

0.3

13

Pop

ula

tion

=

24.2

m

illio

n

AP

GR

=

3.5

%<

15-5

0%

Life

exp

ecta

ncy

=

46.2

IMR

= 7

9/1

00

0

%<

1/d

ay=

82.

2%

Gin

i in

de

x

= 3

7.4

-4

44

17

27

Mappin

g G

lobal H

ealth P

art

ners

hip

s

42

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Zam

bia

D

PP

, G

AV

I,

GA

EL,

GA

ELF

, G

BC

, G

FA

TM

, (I

PA

AA

),

MT

CT

-P

lus,

NetM

ark

-P

lus,

RB

M,

SC

I,

(VD

P)

US

$ 3

54

21.5

2%

34,2

04

445

0.3

0

Pop

ula

tion

=

10.6

m

illio

n

AP

GR

=

1.3

%<

15-

46.4

%

Life

exp

ecta

ncy

=

32

IM

R

=

11

2/1

00

0

%<

1/d

ay=

63.7

%G

ini

inde

x =

52.6

1

59

34

25

Zim

babw

e

DP

P,

CF

, R

BM

, G

AV

I,

GA

ELF

, G

FA

, (I

PA

AA

),

RB

M,

Sto

p

TB

, (V

DP

),

TM

US

$ 7

06

0

0

G

ini

inde

x:

56.8

-5

129

62

67

Afg

ha

nis

tan

GA

VI,

GA

EL,

GF

AT

M,

GP

EI,

Sto

p

TB

, (V

DP

)

N/a

0

P

op

ula

tion

=

22

m

illio

n

IMR

=

16

5/1

00

0

N/a

Gin

i in

de

x: n

/a

-7

28

11

17

EMRO

Bahra

in

U

S$

12,1

89

0.6

519

315

204

Mappin

g G

lobal H

ealth P

art

ners

hip

s

43

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Djib

outi

GA

VI,

(VD

P)

US

$ 8

94

0.4

48

35

13

Egypt

GP

EI,

GA

ELF

, G

FA

TM

, (V

DP

)

US

$

1,5

11

0.3

G

ini

inde

x:

34.4

-6

118

32

86

Iran

GF

AT

M

US

$

1,7

67

0

3

200

86

114

Iraq

N

/a

0

-9

110

65

45

Jord

an

GF

AT

M

0

-2

177

119

58

Kuw

ait

0

-7

605

529

76

Leb

anon

U

S$

3,8

11

0

in

terr

uption

470

167

303

Lib

ya

0

-7

222

120

102

Moro

cco

ITI,

G

FA

TM

, (V

DP

)

US

$

1,1

73

0.1

-6

160

65

95

Om

an

0

-9

302

182

120

Pakis

tan

CF

, G

AV

I,

GE

T-

202

0,

GF

AT

M,

GP

EI,

MN

T,

Sto

p

TB

, (V

DP

)

US

$ 4

15

0.1

1%

58

178

0.1

Pop

ula

tion

=

14

6

mill

ion

AP

GR

=

2.4

%<

15-

41.8

%

Life

exp

ecta

ncy

=

61

IMR

= 8

4/1

00

0

%<

1/d

ay=

13.4

%G

ini

inde

x =

33

-6

71

16

55

Pale

stine

0

0

Qata

r

0

110

5

635

470

Saudi A

rabia

0

-1

0

332

297

35

Mappin

g G

lobal H

ealth P

art

ners

hip

s

44

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Som

alia

G

FA

TM

, M

NT

, (V

DP

)

0.4

11

8

3

Syri

a

0

-7

109

37

72

Tunis

ia

0

-3

227

100

127

UA

R

0

0

Yem

en

GA

VI,

GA

ELF

, G

FA

TM

US

$ 5

14

0.2

G

ini

inde

x:

33.4

-2

32

12

20

Bangla

desh

CF

, G

AV

I,

GA

EL,

GA

ELF

, G

FA

TM

, M

NT

, S

top

TB

, (V

DP

)

US

$ 3

50

<.1

%

40

211

0.5

Pop

ula

tion

=

14

0.9

m

illio

n

AP

GR

=

1.8

%<

15-

38.8

%

Life

exp

ecta

ncy

=

61.4

IMR

= 5

1/1

00

0

%<

$1/d

ay=

36%

Gin

i in

de

x =

31.8

6

70

32

38

Bhuta

n

GA

VI

US

$ 6

44

0.2

-8

82

38

44

SEARO

DP

R K

ore

a

GA

VI

0.1

-9

39

33

6

Mappin

g G

lobal H

ealth P

art

ners

hip

s

45

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

India

C

F,

GA

VI,

GB

C,

GE

T-

202

0,

GP

EI,

GP

HW

, G

AE

LF

, G

FA

TM

, M

NT

, S

tep

Forw

ard

, S

top

TB

, (V

DP

)

US

$46

2

0.7

9%

7

199

3.3

Pop

ula

tion

=

1,0

33

mill

iion

AP

GR

=

1.3

%<

15-

33.7

%

Life

exp

ecta

ncy

=

63.9

IM

R=

67.5

/10

00

%<

$1/d

ay=

34.7

%G

ini

inde

x =

37.8

9

82

11

71

Indo

nesia

C

F,

GA

VI,

GA

ELF

, G

FA

TM

, S

top

TB

, (V

DP

)

US

$ 6

95

0.1

0%

920

321

0.8

Pop

ula

tion

=

21

4

mill

ion

AP

GR

=

1.1

%<

15-

30.4

%

Life

exp

ecta

ncy

=

66.8

IMR

= 33/1

00

0 %

<$1/d

ay=

7%

Gin

i in

de

x

= 3

0.3

7

47

21

26

Mald

ives

(VD

P)

US

$

2,0

82

0.6

249

159

90

Mya

nm

ar

CF

, G

AV

I,

GA

ELF

, G

FA

TM

, S

top

TB

, (V

DP

)

N/a

0.6

-7

79

10

69

Mappin

g G

lobal H

ealth P

art

ners

hip

s

46

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Ne

pal

GA

VI,

GA

ELF

, G

ET

-202

0,

GF

AT

M,

GP

HW

, IT

I,

(VD

P)

US

$ 2

36

3

6

41

11

30

Sri

Lanka

CF

, G

AV

I,

GF

AT

M,

(VD

P)

US

$ 8

49

0.9

5

75

35

40

Thaila

nd

CF

, G

BC

, G

FA

TM

, H

AT

C,

MT

CT

-P

lus,

Sto

p

TB

, (V

DP

)

US

$

1,8

74

0.3

9

322

108

214

Tim

or-

Leste

G

FA

TM

0

Bru

nei

857

348

509

WPRO

Cam

bo

dia

C

F,

DP

P,

GA

VI,

GA

EL,

GF

AT

M,

Sto

p

TB

, (V

DP

)

US

$ 2

78

2.7

0%

476

560

0.5

Pop

ula

tion

=

13.5

m

illio

n

A

PG

R

=

2.2

%<

15-

42.5

%

Life

exp

ecta

ncy

=

57.4

IMR

= 9

7/1

00

0

%<

$1/d

ay=

n/a

Gin

i in

de

x

= 4

0.4

2

73

7

66

Mappin

g G

lobal H

ealth P

art

ners

hip

s

47

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Chin

a

CF

, G

AV

I,

GA

EL,

GB

C,

GF

AT

M,

GP

HW

, S

top

TB

, (V

DP

)

US

$ 9

11

0.1

1%

1

107

0

P

op

ula

tion

=

1,2

85

mill

ion

A

PG

R

=

0.6

%%

<1

5-

24.3

%

Life

exp

ecta

ncy

=

71

IM

R =

31/1

00

0 %

<$1/d

ay=

16.1

%G

ini

inde

x =

40.3

-7

73

18

55

Co

ok Isla

nds

GA

ELF

344

264

80

Fed.

Mic

ronesia

234

216

18

Fiji

G

AE

LF

U

S$

2,0

61

in

tra

nsitio

n

214

148

66

Guam

0

Lao P

DR

G

AV

I,

GF

AT

M,

(VD

P)

US

$ 3

26

-7

53

33

20

Mars

hall

Isla

nds

(VD

P)

238

177

61

Mon

golia

(V

DP

)

10

59

56

3

Papu

a

New

G

uin

ea

GA

EL,

GF

AT

M,

(VD

P)

US

$ 5

63

10

76

59

17

Mappin

g G

lobal H

ealth P

art

ners

hip

s

48

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Phili

ppin

es

CF

, G

AE

L,

GA

ELF

, G

FA

TM

, S

top

TB

, (V

DP

)

US

$ 9

12

<.1

%

15

226

0.4

Pop

ula

tion

=

77.2

m

illio

n

AP

GR

=

1.6

%<

15

-37/1

%

Life

exp

ecta

ncy

=

70

IMR

= 2

9/1

00

0

%<

$1/d

ay=

14.6

%G

ini

inde

x =

46.1

8

97

48

49

Re

pu

blic

K

ore

a

U

S$

8,9

17

8

696

325

371

Vanu

atu

G

AE

LF

, (V

DP

) U

S$

1,0

58

85

55

30

Vie

tnam

C

F,

GA

VI,

GA

EL,

GA

ELF

, G

FA

TM

, IT

I,

Sto

p

TB

, (V

DP

)

US

$ 4

11

0.3

0%

95

93

0.1

Pop

ula

tion

=

79.2

m

illio

n

AP

GR

=

1.9

%<

15-

32.6

%

Life

exp

ecta

ncy

=

69.2

IMR

= 30/1

00

0 %

<$1/d

ay=

17.7

%G

ini

inde

x =

36.1

-7

65

13

52

Arg

entin

a

CF

, G

AE

L

US

$

7,1

16

8

741

473

268

Baham

as

HA

TC

118

5

614

571

PAHO

Beliz

e

CF

, G

FA

TM

U

S$

3,2

58

212

109

103

Mappin

g G

lobal H

ealth P

art

ners

hip

s

49

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Boliv

ia

CF

, G

FA

TM

, G

AV

I,

(VD

P)

US

$ 9

36

0.1

0%

378

116

Pop

ula

tion

=

8.5

m

illio

n

AP

GR

=

1.5

%<

15-

39.3

%

Life

exp

ecta

ncy

=

63.9

IMR

= 6

0/1

00

0

%<

$1/d

ay=

14.4

%G

ini

inde

x= 4

4.7

9

142

90

52

Bra

zil

CF

, S

top

TB

, (V

DP

)

US

$

2,9

15

4.1

8

403

208

195

Chile

C

F,

GA

EL,

GF

AT

M

US

$

4,3

14

9

567

285

282

Colo

mbia

C

F,

GA

EL,

GF

AT

M,

(VD

P)

US

$

1,9

15

7

407

276

131

Costa

Ric

a

GF

TA

M

US

$

4,1

59

10

486

377

109

Cu

ba

GF

TA

M,

(VD

P)

-7

110

96

14

Dom

inic

an

Re

pu

blic

G

AE

L,

GA

ELF

, G

FA

TM

, H

AT

C,

(VD

P)

US

$

2,4

94

2.5

0%

6

88

Pop

ula

tion

=

8.5

m

illio

n

A

PG

R

=

1.3

%<

15-3

3%

Life

exp

ecta

ncy

=

66.7

IMR

: 44/1

000

%<

$1/d

ay=

<

2%

Gin

i in

de

x= 4

7.4

8

152

78

74

Mappin

g G

lobal H

ealth P

art

ners

hip

s

50

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Ecuador

CF

, G

AE

L,

GF

AT

M,

(VD

P)

6

170

98

72

El S

alv

ador

CF

, G

FA

TM

, (V

DP

)

US

$

2,1

47

7

228

85

143

Guate

mala

C

F,

GF

AT

M,

(VD

P)

8

81

55

26

Guya

na

GA

EL,

GF

AT

M,

(VD

P)

US

$ 9

12

6

129

103

26

Haiti

CF

, D

PP

, G

AV

I,

GA

ELF

, G

FA

TM

, H

AT

C,

(VD

P)

US

$ 4

60

6.1

0%

15

190

Pop

ula

tion

=

8.1

m

illio

n

AP

GR

=

1.3

%<

15-

39.8

%

Life

exp

ecta

ncy

=

49.5

IM

R: 79/1

000

%<

$1/d

ay=

n/a

Gin

i in

de

x= n

/a

-2

52

18

34

Ho

nd

ura

s

CF

, G

AV

I,

GF

AT

M,

(VD

P)

US

$ 9

70

7

150

56

94

Jam

aic

a

CF

, G

FA

TM

, (V

DP

)

9

169

120

49

Mexi

co

CF

, G

AE

L

US

$

6,2

14

8

394

172

222

Nic

ara

gua

GF

AT

M,

(VD

P)

8

140

80

60

Mappin

g G

lobal H

ealth P

art

ners

hip

s

51

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Panam

a

GF

AT

M

US

$

3,5

11

9

449

332

117

Para

gu

ay

CF

, G

AE

L,

GF

AT

M,

(VD

P)

7

187

73

114

Peru

C

F,

GF

AT

M,

GP

HW

, (V

DP

)

US

$

2,0

51

in

tra

nsitio

n

221

98

123

Puert

o R

ico

0

Suri

nam

e

GF

AT

M,

(VD

P)

256

87

169

Trinid

ad/T

ob

U

S$

6,7

52

10

314

190

124

Uru

gua

y

US

$

5,5

54

10

354

172

182

Vene

zuela

C

F

US

$

5,0

73

7

298

201

97

Alb

ania

G

AV

I,

(VD

P)

US

$

1,3

00

5

63

49

14

Arm

enia

G

AV

I,

GF

AT

M,

(VD

P)

US

$ 5

56

0.1

5%

4

47

Pop

ula

tion

=

3.1

m

illio

n

AP

GR

=

0.3

%<

15:

22.5

%

Life

exp

ecta

ncy

=

72

IM

R =

31/1

00

0

5

152

63

89

EURO

Azerb

aija

n

GA

VI,

(VD

P)

US

$ 6

88

-7

48

38

10

Mappin

g G

lobal H

ealth P

art

ners

hip

s

52

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Georg

ia

GA

VI,

GF

AT

M,

(VD

P)

US

$ 5

94

5

94

8

86

Kyrg

yzsta

n

GA

VI,

GF

AT

M,

(VD

P)

US

$ 3

08

<.1

%

0

88

Pop

ula

tion =

5

m

illio

n

AP

GR

=

1.2

%<

15:

35.4

%

Life

exp

ecta

ncy

=

68.6

IMR

= 5

2/1

00

0

%<

$4/d

ay=

88%

Gin

i in

de

x= 2

9

-3

66

46

20

Mold

ova

GA

VI,

GF

AT

M,

(VD

P)

US

$ 3

46

7

133

100

33

Tajik

ista

n

GF

AT

M,

(VD

P)

US

$ 1

69

<.1

%

303

83

Pop

ula

tion

=

6.1

m

illio

n

A

PG

R

=

1.2

%<

15:

38.5

%

Life

exp

ecta

ncy

=

68.8

IMR

= 5

3/1

00

0

N/a

Gin

i in

de

x= 3

4.7

-1

93

82

11

Turk

menis

tan

GA

VI,

(VD

P)

US

$

1,0

97

90

77

13

Ukra

ine

GA

VI,

GF

AT

M,

(VD

P)

US

$ 7

66

7

127

96

31

Mappin

g G

lobal H

ealth P

art

ners

hip

s

53

DF

ID H

ealth R

esourc

e C

entr

e

WH

O

Reg

ion

C

ou

ntr

y

GH

Ps

(1)

GD

P

per

cap

ita (

2)

Pers

on

s

Liv

ing

w

ith

A

IDS

%

p

op

ula

tio

n

Mala

ria

per

100,0

00

TB

p

er

100,0

00

Lep

rosy

per

10,0

00 (

3)

Gu

inea

Wo

rm #

of

ca

se

s

rep

ort

ed

20

03 (

4)

Dem

og

rap

hic

D

ata

P

overt

y

Data

P

oliti

cal

Ch

ara

cte

risti

c

(5)

Healt

h S

yste

m C

hara

cte

risti

cs (

6)

Uzbekis

tan

GA

VI,

GF

AT

M,

(VD

P)

US

$ 4

50

<.1

%

1

63

Pop

ula

tion

=

25.3

m

illio

n

AP

GR

=

1.4

%<

15-

35.4

%

Life

exp

ecta

ncy

=

69.7

IM

R =

52/1

00

0

N/a

Gin

i in

de

x= 2

6.8

-9

109

88

21

Mapping Global Health Partnerships 54

DFID Health Resource Centre

Key to GHP Mapping Tables *A GHP in brackets covers the country but does not necessarily operate in it at present (1) GHP information was provided from individual GHP websites. Therefore the

information is only as accurate and up to date as the websites are themselves. (2) All figures and definitions are from the UNDP’s Human Development Report

2003, unless otherwise stated.

GDP =.GDP converted to US dollars using the average official exchange rate reported by the International Monetary Fund. An alternative conversion factor is applied if the official exchange rate is judged to diverge by an exceptionally large margin from the rate effectively applied to transactions in foreign currencies and traded products. Epidemiological information: PLA = Estimated percentage of Adults between the ages of 15 and 45 living with AIDS at the end of the year. Malaria figures represent total number of cases report by the country to the WHO, divided by the total population and then multiplied by 100,000 to give a comparison rate. A similar calculation is made for TB (tuberculosis) to provide a TB case rate.

Demographic Data: All population figures are 2001 estimates. APGR = Annual Population Growth Rate – the APGRs presented here are the estimated ones for 2001-2015. %<15 is the Percentage of the Population aged less than 15 in 2001. Poverty data: Population below income poverty line - This is set of < US$ 1 per day for low and some medium income countries. For OECD, CIS and CCE countries this is set at a series of levels, including <US$ 4/day, or the national poverty line. A further indicator of the distribution of income is the Gini index. The Gini index is used to measure the extent to which income distribution between individuals and families in a country deviates from equal distribution. A ‘0’ represents perfect equality while ‘100’ represents perfect inequality. To put this into context, the Gini index for the Nordic countries is around 25. For the US it is 40.8, and for the UK it is 36.

(3) Leprosy prevalence: information was provided by ILEP (International Leprosy

Eradication Partners) 2002/2003 annual report, available on their website. (4) Guinea Worm cases: information was provided by the Guinea Worm Eradication

Programme’s website. (5) Political system: Measures of polity taken from EarthTrends 2003 report, which

provides information on the degree of democracy in individual countries. (EarthTrends Data Tables: Environmental Governance and Institutions)

(6) Health Systems information: Public v Private – based on data presented in the

World Health Report 2000 Table 8 – National Health Accounts (7) Sierra Leone malaria prevalence: Provided by the Statistics for Sierra Leone

website, relating to 2002 prevalence.

Mapping Global Health Partnerships 55

DFID Health Resource Centre

APPENDIX C – DFID INTEREST 1. Classification of the 19 GHPs of interest to DFID – international level P = primary role; S – secondary role

GHP Research and

development

International and National Advocacy

Financing Technical support, service delivery, donations and discounted products

APOC S S P

DNDi P S P

GAEL S P

GAELF S P

GAVI S P S

GFATM S P S

GPEI S S P

GWEP S P S

IAVI P S

IPM P

ITI S P

MDP 2* P

MIM P S

MMV P

MVI P S

RBM P S

SCI S P S

Stop TB S P

WPESS S P

* Microbicides Development Programme

Mapping Global Health Partnerships 56

DFID Health Resource Centre

2. Classification of GHPs involved in HIV/AIDS, Malaria and TB

GHP Research and development

International and national advocacy

Financing Technical support, service delivery, donations and discounted products

HIV/AIDS CICCR

CONRAD

GMP

IAVI

IPM

HTVN

MDP (2)

GBC

GCM

GCWA

GMAI

GRI

GFATM AAI

ACHAP

CF

DPP

HACI

HATC

IPAAA

MTCTPlus

SF

Step Forward

VDP

Malaria Artesunate

DNDi

EMVI

JPMW

MIM

MMV

MVI

LAPDAP

TROPIVAL

Roll Back Malaria GFATM AMP

Coartem

NetMark Plus

TB Aeras

FIND

GATBDD

TROPIVAL

Global Partnership to Stop TB

GFATM EL-MDRTBP

GLC

GDF