Cargando…

Climate variability, armed conflicts and child malnutrition in sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria

BACKGROUND: Sub-Saharan Africa (SSA) has one of the highest prevalence of malnutrition among children under 5 in the world. It is also the region most vulnerable to the adverse effect of climate change, and the one that records the most armed conflicts. The chains of causality suggested in the liter...

Descripción completa

Detalles Bibliográficos
Autores principales: Kemajou Njatang, Donald, Bouba Djourdebbé, Franklin, Adda Wadou, Natacha Darléne
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656247/
https://www.ncbi.nlm.nih.gov/pubmed/38027550
http://dx.doi.org/10.1016/j.heliyon.2023.e21672
_version_ 1785136972075892736
author Kemajou Njatang, Donald
Bouba Djourdebbé, Franklin
Adda Wadou, Natacha Darléne
author_facet Kemajou Njatang, Donald
Bouba Djourdebbé, Franklin
Adda Wadou, Natacha Darléne
author_sort Kemajou Njatang, Donald
collection PubMed
description BACKGROUND: Sub-Saharan Africa (SSA) has one of the highest prevalence of malnutrition among children under 5 in the world. It is also the region most vulnerable to the adverse effect of climate change, and the one that records the most armed conflicts. The chains of causality suggested in the literature on the relationship between climate change, armed conflict, and malnutrition have rarely been supported by empirical evidence for SSA countries. METHODS: This study proposes to highlight, under the hypothesis of spatial non-stationarity, the influence of climatic variations and armed conflicts on malnutrition in children under 5 in Ethiopia, Kenya, and Nigeria. To do this, we use spatial analysis on data from Demographic and Health Surveys (DHS), Uppsala Conflict Data Program Georeferenced Event Dataset (UCDP GED), Climate Hazards center InfraRed Precipitation with Station data (CHIRPS) and Moderate Resolution Imaging Spectroradiometer (MODIS). RESULTS: The results show that there is a spatial autocorrelation of malnutrition measured by the prevalence of underweight children in the three countries. Also, local geographically weighted analysis shows that armed conflict, temperature and rainfall are positively associated with the prevalence of underweight children in localities of Somali in Ethiopia, Mandera and Turkana of Wajir in Kenya, Borno and Yobe in Nigeria. CONCLUSION: In conclusion, the results of our spatial analysis support the implementation of conflict-sensitive climate change adaptation strategies.
format Online
Article
Text
id pubmed-10656247
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Elsevier
record_format MEDLINE/PubMed
spelling pubmed-106562472023-11-03 Climate variability, armed conflicts and child malnutrition in sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria Kemajou Njatang, Donald Bouba Djourdebbé, Franklin Adda Wadou, Natacha Darléne Heliyon Research Article BACKGROUND: Sub-Saharan Africa (SSA) has one of the highest prevalence of malnutrition among children under 5 in the world. It is also the region most vulnerable to the adverse effect of climate change, and the one that records the most armed conflicts. The chains of causality suggested in the literature on the relationship between climate change, armed conflict, and malnutrition have rarely been supported by empirical evidence for SSA countries. METHODS: This study proposes to highlight, under the hypothesis of spatial non-stationarity, the influence of climatic variations and armed conflicts on malnutrition in children under 5 in Ethiopia, Kenya, and Nigeria. To do this, we use spatial analysis on data from Demographic and Health Surveys (DHS), Uppsala Conflict Data Program Georeferenced Event Dataset (UCDP GED), Climate Hazards center InfraRed Precipitation with Station data (CHIRPS) and Moderate Resolution Imaging Spectroradiometer (MODIS). RESULTS: The results show that there is a spatial autocorrelation of malnutrition measured by the prevalence of underweight children in the three countries. Also, local geographically weighted analysis shows that armed conflict, temperature and rainfall are positively associated with the prevalence of underweight children in localities of Somali in Ethiopia, Mandera and Turkana of Wajir in Kenya, Borno and Yobe in Nigeria. CONCLUSION: In conclusion, the results of our spatial analysis support the implementation of conflict-sensitive climate change adaptation strategies. Elsevier 2023-11-03 /pmc/articles/PMC10656247/ /pubmed/38027550 http://dx.doi.org/10.1016/j.heliyon.2023.e21672 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Research Article
Kemajou Njatang, Donald
Bouba Djourdebbé, Franklin
Adda Wadou, Natacha Darléne
Climate variability, armed conflicts and child malnutrition in sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria
title Climate variability, armed conflicts and child malnutrition in sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria
title_full Climate variability, armed conflicts and child malnutrition in sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria
title_fullStr Climate variability, armed conflicts and child malnutrition in sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria
title_full_unstemmed Climate variability, armed conflicts and child malnutrition in sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria
title_short Climate variability, armed conflicts and child malnutrition in sub-saharan Africa: A spatial analysis in Ethiopia, Kenya and Nigeria
title_sort climate variability, armed conflicts and child malnutrition in sub-saharan africa: a spatial analysis in ethiopia, kenya and nigeria
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10656247/
https://www.ncbi.nlm.nih.gov/pubmed/38027550
http://dx.doi.org/10.1016/j.heliyon.2023.e21672
work_keys_str_mv AT kemajounjatangdonald climatevariabilityarmedconflictsandchildmalnutritioninsubsaharanafricaaspatialanalysisinethiopiakenyaandnigeria
AT boubadjourdebbefranklin climatevariabilityarmedconflictsandchildmalnutritioninsubsaharanafricaaspatialanalysisinethiopiakenyaandnigeria
AT addawadounatachadarlene climatevariabilityarmedconflictsandchildmalnutritioninsubsaharanafricaaspatialanalysisinethiopiakenyaandnigeria