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Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012–2019

Conflict in Yemen has displaced millions and destroyed health infrastructure, resulting in the world’s largest humanitarian disaster. The objective of this paper is to examine mortality in Yemen to determine whether it has increased significantly since the conflict began in 2015 compared to the prec...

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Autores principales: Guha Sapir, Debarati, Ogbu, Jideofor Thomas, Scales, Sarah Elizabeth, de Almeida, Maria Moitinho, Donneau, Anne-Francoise, Diep, Anh, Bernstein, Robyn, al-Masnai, Akram, Rodriguez-Llanes, Jose Manuel, Burnham, Gilbert
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022117/
https://www.ncbi.nlm.nih.gov/pubmed/36962390
http://dx.doi.org/10.1371/journal.pgph.0000581
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author Guha Sapir, Debarati
Ogbu, Jideofor Thomas
Scales, Sarah Elizabeth
de Almeida, Maria Moitinho
Donneau, Anne-Francoise
Diep, Anh
Bernstein, Robyn
al-Masnai, Akram
Rodriguez-Llanes, Jose Manuel
Burnham, Gilbert
author_facet Guha Sapir, Debarati
Ogbu, Jideofor Thomas
Scales, Sarah Elizabeth
de Almeida, Maria Moitinho
Donneau, Anne-Francoise
Diep, Anh
Bernstein, Robyn
al-Masnai, Akram
Rodriguez-Llanes, Jose Manuel
Burnham, Gilbert
author_sort Guha Sapir, Debarati
collection PubMed
description Conflict in Yemen has displaced millions and destroyed health infrastructure, resulting in the world’s largest humanitarian disaster. The objective of this paper is to examine mortality in Yemen to determine whether it has increased significantly since the conflict began in 2015 compared to the preceding period. We analysed 91 household surveys using the Standardized Monitoring and Assessment of Relief and Transitions methodology, covering 2,864 clusters undertaken from 2012–2019, and deaths from Armed Conflict Location & Event Data Project database covering the conflict period 2015–2019. We used a Poisson-Gamma model to estimate pre-conflict (μ(p), baseline value) and conflict period (μ(c)) mean death rates using household survey data from 2012–2019. To analyse changes in the distribution of deaths and estimate nationwide excess deaths, we applied pre- and post-conflict death rates to total population numbers. Further, we tested for association between excess death and security levels by governorate. The national estimated crude death rate/10,000 in the conflict period was 0.20 (95% CI: 0.17, 0.24), which is meaningfully higher than the estimated baseline rate of 0.19 (95% CI: 0.17, 0.22). Applying the conflict period rate to the Yemeni population, we estimated 168,212 excess deaths that occurred between 2015 and 2019. There was an 17.8% increase in overall deaths above the baseline during the conflict period. A large share (67.2%) of the excess deaths were due to combat-related violence. At the governorate level, posterior crude death rate varied across the country, ranging from 0.03 to 0.63 per 10,000 per day. Hajjah, Ibb, and Al Jawf governorates presented the highest total excess deaths. Insecurity level was not statistically associated with excess deaths. The health situation in Yemen was poor before the crisis in 2015. During the conflict, intentional violence from air and ground strikes were responsible for more deaths than indirect or non-violent causes. The provision of humanitarian aid by foreign agencies may have helped contain increases in indirect deaths from the conflict.
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spelling pubmed-100221172023-03-17 Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012–2019 Guha Sapir, Debarati Ogbu, Jideofor Thomas Scales, Sarah Elizabeth de Almeida, Maria Moitinho Donneau, Anne-Francoise Diep, Anh Bernstein, Robyn al-Masnai, Akram Rodriguez-Llanes, Jose Manuel Burnham, Gilbert PLOS Glob Public Health Research Article Conflict in Yemen has displaced millions and destroyed health infrastructure, resulting in the world’s largest humanitarian disaster. The objective of this paper is to examine mortality in Yemen to determine whether it has increased significantly since the conflict began in 2015 compared to the preceding period. We analysed 91 household surveys using the Standardized Monitoring and Assessment of Relief and Transitions methodology, covering 2,864 clusters undertaken from 2012–2019, and deaths from Armed Conflict Location & Event Data Project database covering the conflict period 2015–2019. We used a Poisson-Gamma model to estimate pre-conflict (μ(p), baseline value) and conflict period (μ(c)) mean death rates using household survey data from 2012–2019. To analyse changes in the distribution of deaths and estimate nationwide excess deaths, we applied pre- and post-conflict death rates to total population numbers. Further, we tested for association between excess death and security levels by governorate. The national estimated crude death rate/10,000 in the conflict period was 0.20 (95% CI: 0.17, 0.24), which is meaningfully higher than the estimated baseline rate of 0.19 (95% CI: 0.17, 0.22). Applying the conflict period rate to the Yemeni population, we estimated 168,212 excess deaths that occurred between 2015 and 2019. There was an 17.8% increase in overall deaths above the baseline during the conflict period. A large share (67.2%) of the excess deaths were due to combat-related violence. At the governorate level, posterior crude death rate varied across the country, ranging from 0.03 to 0.63 per 10,000 per day. Hajjah, Ibb, and Al Jawf governorates presented the highest total excess deaths. Insecurity level was not statistically associated with excess deaths. The health situation in Yemen was poor before the crisis in 2015. During the conflict, intentional violence from air and ground strikes were responsible for more deaths than indirect or non-violent causes. The provision of humanitarian aid by foreign agencies may have helped contain increases in indirect deaths from the conflict. Public Library of Science 2022-08-08 /pmc/articles/PMC10022117/ /pubmed/36962390 http://dx.doi.org/10.1371/journal.pgph.0000581 Text en © 2022 Guha Sapir et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Guha Sapir, Debarati
Ogbu, Jideofor Thomas
Scales, Sarah Elizabeth
de Almeida, Maria Moitinho
Donneau, Anne-Francoise
Diep, Anh
Bernstein, Robyn
al-Masnai, Akram
Rodriguez-Llanes, Jose Manuel
Burnham, Gilbert
Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012–2019
title Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012–2019
title_full Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012–2019
title_fullStr Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012–2019
title_full_unstemmed Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012–2019
title_short Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012–2019
title_sort civil war and death in yemen: analysis of smart survey and acled data, 2012–2019
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10022117/
https://www.ncbi.nlm.nih.gov/pubmed/36962390
http://dx.doi.org/10.1371/journal.pgph.0000581
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