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Tefera Darge Delbiso
Debarati Guha-Sapir
Where do the most disadvantaged children live?
The burden of child undernutrition in humanitarian
settings in Ethiopia
International Conference on:
Putting Children First
23 – 25 October 2017, UNCC, Addis Ababa
o Background
o Methods
o Results
o Conclusions
Outline
o MDG era saw a huge progress in reducing hunger,
but still
In 2014–16, 795 m food-insecure people in the world (98%
were in developing world) (FAO 2015)
In 2014, >50 m U5 children had acute malnutrition (UNICEF-
WHO-World bank 2015)
o Undernutrition is an important public health
challenge:
35% disease burden annually & 45% child deaths globally
(Black et.al 2013)
11% GDP losses in Asia and Africa (IFPRI 2016)
Background
o In Ethiopia it is responsible for:
28% child deaths
16.5% GDP losses & 16% primary school repetitions
8% reduction in the workforce (The Cost of Hunger in
Ethiopia 2013)
o Considerable improvement in different sectors
(GDP growth, MDGs), but undernutrition is still
widespread & deep-rooted problem in Ethiopia: 38%
children stunted & 10% wasted (EDHS 2016)
o This problem is worse in crises-affected areas
(natural disasters and violent conflicts)
Background
o Epidemiological data is central to improve public
health response during humanitarian crises
o But, field conditions make obtaining data extremely
difficult (national health data systems non-functional
and untimely, lack of baselines, no surveillance
systems)
o Promising option! – using small-scale operational
survey data regularly undertaken by UN, health
NGOs
Background
o Objectives:
to provide summary estimates of the prevalence of acute
malnutrition (wasting) among children aged 6–59 months,
2000–2013;
to investigate the effects of drought and conflict on child
undernutrition in emergency settings in Ethiopia.
Background
o Open access databases
Methods – Data
Variable Database
Complex Emergency
Database (CE-DAT)
SPEI Global
Drought
Monitoring
Armed Conflict
Location and Event
Dataset (ACLED)
Data
compiled
Nutrition, mortality &
vaccination indicators
Intensity, duration
and extent of
drought
Violence event data
Sample or
coverage
Nearly 4000 surveys 2000-
2013 CE-DAT
Global 100,000+ conflict
events
Data
source
NGOs; UN, ministry of
health; academic inst.,
CSA, and peer-reviewed
journals
Water balance using
precipitation and
temperature
UN and NGO reports
o Flow chart of surveys included in the meta-analysis
Methods – Data
o Datasets were merged across space & time, based
on GIS
o Random-effects meta-analysis: variability across
the surveys
o Subgroup meta-analysis & meta-regression: to
explain the variability
o Bayesian approach with vague prior distributions
Methods – Statistical analysis
o # of CE-DAT surveys by woredas and regions, 2000-13
tete
Results
o Oromia (72; 32.5%),
SNNP (66; 28.6%) &
Amhara (50; 21.6%)
o 175,607 children
o Summary of the pooled prevalence of child wasting
Results
o Trends in the prevalence of child wasting
Results
o Results of meta-regression
Results
Characteristics Posterior OR 95% CrI
Conflict status
Affected vs. Not affected 1.02 [0.82–1.26]
Drought exposure
Mild vs. No drought 1.04 [0.91–1.19]
Moderate vs. No drought 1.34 [1.05–1.72]
Severe vs. No drought 0.96 [0.68–1.35]
Survey year 0.96 [0.94–0.98]
Regions
Afar vs. Oromia 1.51 [1.15–2.00]
Amhara vs. Oromia 1.29 [1.08–1.54]
Benishangul-Gumz vs. Oromia 1.61 [0.80–3.26]
Dire Dawa vs. Oromia 1.53 [0.75–3.13]
SNNP vs. Oromia 0.82 [0.69–0.97]
Somali vs. Oromia 2.21 [1.74–2.81]
o Declining trend, but still persistent undernutrition
problem in Ethiopia, particularly in Somali, Afar and
Amhara regions
o Exposure to moderate drought increased the odds
of child wasting by 34%
Conclusions
Thank You!

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Putting Children First: Session 2.1.A Tefera Darge Delbiso - Are droughts bigger drivers of child undernutrition? [24-Oct-17]

  • 1. Tefera Darge Delbiso Debarati Guha-Sapir Where do the most disadvantaged children live? The burden of child undernutrition in humanitarian settings in Ethiopia International Conference on: Putting Children First 23 – 25 October 2017, UNCC, Addis Ababa
  • 2. o Background o Methods o Results o Conclusions Outline
  • 3. o MDG era saw a huge progress in reducing hunger, but still In 2014–16, 795 m food-insecure people in the world (98% were in developing world) (FAO 2015) In 2014, >50 m U5 children had acute malnutrition (UNICEF- WHO-World bank 2015) o Undernutrition is an important public health challenge: 35% disease burden annually & 45% child deaths globally (Black et.al 2013) 11% GDP losses in Asia and Africa (IFPRI 2016) Background
  • 4. o In Ethiopia it is responsible for: 28% child deaths 16.5% GDP losses & 16% primary school repetitions 8% reduction in the workforce (The Cost of Hunger in Ethiopia 2013) o Considerable improvement in different sectors (GDP growth, MDGs), but undernutrition is still widespread & deep-rooted problem in Ethiopia: 38% children stunted & 10% wasted (EDHS 2016) o This problem is worse in crises-affected areas (natural disasters and violent conflicts) Background
  • 5. o Epidemiological data is central to improve public health response during humanitarian crises o But, field conditions make obtaining data extremely difficult (national health data systems non-functional and untimely, lack of baselines, no surveillance systems) o Promising option! – using small-scale operational survey data regularly undertaken by UN, health NGOs Background
  • 6. o Objectives: to provide summary estimates of the prevalence of acute malnutrition (wasting) among children aged 6–59 months, 2000–2013; to investigate the effects of drought and conflict on child undernutrition in emergency settings in Ethiopia. Background
  • 7. o Open access databases Methods – Data Variable Database Complex Emergency Database (CE-DAT) SPEI Global Drought Monitoring Armed Conflict Location and Event Dataset (ACLED) Data compiled Nutrition, mortality & vaccination indicators Intensity, duration and extent of drought Violence event data Sample or coverage Nearly 4000 surveys 2000- 2013 CE-DAT Global 100,000+ conflict events Data source NGOs; UN, ministry of health; academic inst., CSA, and peer-reviewed journals Water balance using precipitation and temperature UN and NGO reports
  • 8. o Flow chart of surveys included in the meta-analysis Methods – Data
  • 9. o Datasets were merged across space & time, based on GIS o Random-effects meta-analysis: variability across the surveys o Subgroup meta-analysis & meta-regression: to explain the variability o Bayesian approach with vague prior distributions Methods – Statistical analysis
  • 10. o # of CE-DAT surveys by woredas and regions, 2000-13 tete Results o Oromia (72; 32.5%), SNNP (66; 28.6%) & Amhara (50; 21.6%) o 175,607 children
  • 11. o Summary of the pooled prevalence of child wasting Results
  • 12. o Trends in the prevalence of child wasting Results
  • 13. o Results of meta-regression Results Characteristics Posterior OR 95% CrI Conflict status Affected vs. Not affected 1.02 [0.82–1.26] Drought exposure Mild vs. No drought 1.04 [0.91–1.19] Moderate vs. No drought 1.34 [1.05–1.72] Severe vs. No drought 0.96 [0.68–1.35] Survey year 0.96 [0.94–0.98] Regions Afar vs. Oromia 1.51 [1.15–2.00] Amhara vs. Oromia 1.29 [1.08–1.54] Benishangul-Gumz vs. Oromia 1.61 [0.80–3.26] Dire Dawa vs. Oromia 1.53 [0.75–3.13] SNNP vs. Oromia 0.82 [0.69–0.97] Somali vs. Oromia 2.21 [1.74–2.81]
  • 14. o Declining trend, but still persistent undernutrition problem in Ethiopia, particularly in Somali, Afar and Amhara regions o Exposure to moderate drought increased the odds of child wasting by 34% Conclusions