Conflict in Somalia: impact on child undernutrition

Damaris Kinyoki; Abdisalan Noor; Olalekan Uthman; Ngianga-Bakwin Kandala; Elijah Odundo; Grainne Moloney; James Berkley

doi:10.1136/bmjgh-2016-000262

Conflict in Somalia: impact on child undernutrition

Damaris Kinyoki, Abdisalan Noor, Olalekan Uthman, Ngianga-Bakwin Kandala, Elijah Odundo, Grainne Moloney, James Berkley

Mathematics, Physics and Electrical Engineering

Research output: Contribution to journal › Article › peer-review

13 Citations (Scopus)

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Abstract

Background: In Somalia, protracted conflict and persistent drought have caused population displacement and livelihood destruction. As a result, there is widespread child malnutrition. We aimed to determine the effects of conflict on wasting and stunting among children aged 6-59 months in Somalia 2007–2010. Methods: Data were from household nutritional surveys from 2007 to 2010, with 1,066 clusters covering 73,778 children, the Armed Conflict Location and Event Data (ACLED) project and remote sensing. We used Bayesian hierarchical spatial-temporal regression methods to examine the effects of conflict on wasting and stunting. A preliminary model included individual, household and environmental covariates without conflict. The main model included recent (

Original language	English
Article number	e000262
Journal	BMJ Global Health
Volume	2
Issue number	2
DOIs	https://doi.org/10.1136/bmjgh-2016-000262
Publication status	Published - 29 May 2017

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10.1136/bmjgh-2016-000262Licence: CC BY

E000262Final published version, 2.73 MBLicence: CC BY

http://nrl.northumbria.ac.uk/30316/

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abstract = "Background: In Somalia, protracted conflict and persistent drought have caused population displacement and livelihood destruction. As a result, there is widespread child malnutrition. We aimed to determine the effects of conflict on wasting and stunting among children aged 6-59 months in Somalia 2007–2010. Methods: Data were from household nutritional surveys from 2007 to 2010, with 1,066 clusters covering 73,778 children, the Armed Conflict Location and Event Data (ACLED) project and remote sensing. We used Bayesian hierarchical spatial-temporal regression methods to examine the effects of conflict on wasting and stunting. A preliminary model included individual, household and environmental covariates without conflict. The main model included recent (",

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AU - Kinyoki, Damaris

AU - Noor, Abdisalan

AU - Uthman, Olalekan

AU - Kandala, Ngianga-Bakwin

AU - Odundo, Elijah

AU - Moloney, Grainne

AU - Berkley, James

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N2 - Background: In Somalia, protracted conflict and persistent drought have caused population displacement and livelihood destruction. As a result, there is widespread child malnutrition. We aimed to determine the effects of conflict on wasting and stunting among children aged 6-59 months in Somalia 2007–2010. Methods: Data were from household nutritional surveys from 2007 to 2010, with 1,066 clusters covering 73,778 children, the Armed Conflict Location and Event Data (ACLED) project and remote sensing. We used Bayesian hierarchical spatial-temporal regression methods to examine the effects of conflict on wasting and stunting. A preliminary model included individual, household and environmental covariates without conflict. The main model included recent (

AB - Background: In Somalia, protracted conflict and persistent drought have caused population displacement and livelihood destruction. As a result, there is widespread child malnutrition. We aimed to determine the effects of conflict on wasting and stunting among children aged 6-59 months in Somalia 2007–2010. Methods: Data were from household nutritional surveys from 2007 to 2010, with 1,066 clusters covering 73,778 children, the Armed Conflict Location and Event Data (ACLED) project and remote sensing. We used Bayesian hierarchical spatial-temporal regression methods to examine the effects of conflict on wasting and stunting. A preliminary model included individual, household and environmental covariates without conflict. The main model included recent (

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