2. Malnutrition rates
remain alarming:
stunting is declining
too slowly while
wasting still impacts
the lives of far too
many young children
Prevalence – Global Overview
Percentage of stunted, wasting, overweight children under 5, by UN sub-region
Source: UNICEF, WHO, World Bank Group Joint Child Malnutrition Estimates, 2018 edition.
See Notes on the Data section on why only one time point is presented for wasting on the graphs above.
3. Malnutrition rates
remain alarming:
stunting is declining
too slowly while
wasting still impacts
the lives of far too
many young children
Numbers Affected – Global Overview
Number (millions) of stunted, wasting, overweight children under 5, by UN sub-region
Source: UNICEF, WHO, World Bank Group Joint Child Malnutrition Estimates, 2018 edition.
See Notes on the Data section on why only one time point is presented for wasting on the graphs above.
4. Stunting Numbers Affected – Region Level (UNICEF regions), 2017
Number (millions) of stunted children under 5, by UN sub-region
Source: UNICEF, WHO, World Bank Group Joint Child Malnutrition Estimates, 2018 edition.
Note: *Eastern Europe and Central Asia region does not include Russian Federation due to missing data; consecutive low population coverage for the 2017 estimate (interpret with caution).
There is no estimate available for the Europe and Central Asia region or the Western Europe sub-region. **North America regional average based on United States data only.
5. Stunting Prevalence – Country Level, 2017
Percentage of stunted children, under 5
Source: UNICEF, WHO, World Bank Group Joint Child Malnutrition Estimates, 2018 edition.
Note: Country data are the most recent available estimate between 2011 and 2017; exceptions where older data (2005-2010) are shown are denoted with an asterisk(*) and where only data
prior to 2005 are available the dark grey color denoting no recent data is used. 1.Eastern Europe and Central Asia region does not include Russian Federation due to missing data; consecutive
low population coverage for the 2017 estimate (interpret with caution).
6. Overweight Numbers Affected – Region Level (UNICEF regions), 2017
Number (millions) of overweight children under 5, by UNICEF regions
Source: UNICEF, WHO, World Bank Group Joint Child Malnutrition Estimates, 2018 edition.
Note:*Eastern Europe and Central Asia region does not include Russian Federation due to missing data; consecutive low population coverage for the 2017 estimate (interpret with caution).
There is no estimate available for the Europe and Central Asia region or the Western Europe sub-region.. †represents regions/subregions where the change has been statistically significant;
see page 12 for the 95% confidence intervals for graphed estimates.
7. Overweight Prevalence – Country Level, 2017
Percentage of overweight children under 5
Source: UNICEF, WHO, World Bank Group Joint Child Malnutrition Estimates, 2018 edition.
Note: Country data are the most recent available estimate between 2011 and 2017; exceptions where older data (2005-2010) are shown are denoted with an asterisk(*) and where only data
prior to 2005 are available the dark grey color denoting no recent data is used. 1.Eastern Europe and Central Asia region does not include Russian Federation due to missing data; consecutive
low population coverage for the 2017 estimate (interpret with caution).
8.
9.
10. Goal: to improve and support policy and program decisions and actions to
accelerate reductions in maternal and child undernutrition in West Africa,
through an inclusive process of knowledge generation and mobilization.
•Objective 1: Assess and analyze nutrition-relevant data and actions (programs
and policies) to generate knowledge on optimal approaches to improving
maternal and child nutrition.
•Objective 2: Mobilize knowledge to strengthen enabling environments, and
inform and improve nutrition-relevant policy and programming.
11. 11
A regional platform to enable effective policy and
programmatic action on nutrition
Knowledge
generation
Knowledge
Mobilisation
12.
13. Stakeholder
engagement
Unique and
relevant
perspectives;
dialogue
enhancing mutual
understanding
Evidence
synthesis
The WHA
indicators along
the 5PD process;
assessment of
data and
evidence gaps
Regional consultation
• Consultation: stakeholders discuss
findings, and generate priorities for
action and for research.
Validation of
prioritized agenda
Ongoing dialogue,
consultation, and
collaboration
Process
Workplan for delivery phase
Based on the prioritized agenda,
developed the workplan
Our approach
14. PROBLE
M
POLICY
PROGRAMPRIORITIE
S
PEOPLE
PROBLEM What are the
nutritional problems?
POLICY What is in the relevant
policies to address these
problems?
PROGRAM Are there relevant
programs being implemented?
PEOPLE Who are the key people
and organisations responsible
for these policies and
programs?
PRIORITIES What are their
perceptions regarding
priorities, gaps,
opportunities?
DATA GAPS Are there sufficient data
and evidence to inform the
implementation of relevant
policies and programs?
Method: 5PD Process
DATA
GAPS
The next 10 minutes I will share TNWA’s experience and approach of how to strengthen the enabling enviornment for nutrition in WA, applied to maternal nutrition.
This project is a new regional platform to enable effective policy and programmatic action on nutrition and it has two core objectives.
We aim to assess and analyze nutrition-relevant data and programs and policies to generate knowledge on optimal approaches
And then mobilize this knowledge to strengthen enabling environments and inform nutrition-relevant decision-making
With the ultimate goal to improving maternal and child nutrition.
West Africa region
4 focal countries: Ghana, Nigeria, Senegal, Burkina Faso
Process slide to reflect the general process of TNWA, including the inception phase.
Transforming the enabling environment for maternal nutrition interventions requires knowledge on optimal approaches to inform the decision-making process related to this.
TNWA adopted the 5PD process as shown here.
Explain the process and state that each step plays a role in creating an enabling environment.
The presentation will show how we use this approach to identify the data gaps, applied to maternal nutrition.