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...
Autores principales: | , , |
---|---|
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 |