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...

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Main Authors: Debarati Guha Sapir (Author), Jideofor Thomas Ogbu (Author), Sarah Elizabeth Scales (Author), Maria Moitinho de Almeida (Author), Anne-Francoise Donneau (Author), Anh Diep (Author), Robyn Bernstein (Author), Akram Al-Masnai (Author), Jose Manuel Rodriguez-Llanes (Author), Gilbert Burnham (Author)
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Published: Public Library of Science (PLoS), 2022-01-01T00:00:00Z.
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100 1 0 |a Debarati Guha Sapir  |e author 
700 1 0 |a Jideofor Thomas Ogbu  |e author 
700 1 0 |a Sarah Elizabeth Scales  |e author 
700 1 0 |a Maria Moitinho de Almeida  |e author 
700 1 0 |a Anne-Francoise Donneau  |e author 
700 1 0 |a Anh Diep  |e author 
700 1 0 |a Robyn Bernstein  |e author 
700 1 0 |a Akram Al-Masnai  |e author 
700 1 0 |a Jose Manuel Rodriguez-Llanes  |e author 
700 1 0 |a Gilbert Burnham  |e author 
245 0 0 |a Civil war and death in Yemen: Analysis of SMART survey and ACLED data, 2012-2019. 
260 |b Public Library of Science (PLoS),   |c 2022-01-01T00:00:00Z. 
500 |a 2767-3375 
500 |a 10.1371/journal.pgph.0000581 
520 |a 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 (μp, baseline value) and conflict period (μc) 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. 
546 |a EN 
690 |a Public aspects of medicine 
690 |a RA1-1270 
655 7 |a article  |2 local 
786 0 |n PLOS Global Public Health, Vol 2, Iss 8, p e0000581 (2022) 
787 0 |n https://doi.org/10.1371/journal.pgph.0000581 
787 0 |n https://doaj.org/toc/2767-3375 
856 4 1 |u https://doaj.org/article/c2bd9c4e29a74abe97b503732cf68c5f  |z Connect to this object online.