Evidence map›Paper›PMID 36962390›Full record

ArticlePLOS global public health2022

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

Debarati Guha Sapir, Jideofor Thomas Ogbu, Sarah Elizabeth Scales, Maria Moitinho de Almeida, Anne-Francoise Donneau, Anh Diep, Robyn Bernstein, Akram Al-Masnai, Jose Manuel Rodriguez-Llanes, Gilbert Burnham

Erratum issuedOpen access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
4.2field-weighted citation impact, top 6% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed, 17 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors at 7 institutions in 5 countries.

Debarati Guha SapirCentre for Research on the Epidemiology of Disasters, Institute of Health and Society, Université catholique de Louvain, Brussels, Belgium.
Jideofor Thomas OgbuCentre for Research on the Epidemiology of Disasters, Institute of Health and Society, Université catholique de Louvain, Brussels, Belgium.ORCID https://orcid.org/0000-0003-4971-6184
Sarah Elizabeth ScalesEpidemiology Program, College of Health Sciences, University of Delaware, Newark, Delaware, United States of America.ORCID https://orcid.org/0000-0001-9983-5304
Maria Moitinho de AlmeidaCentre for Research on the Epidemiology of Disasters, Institute of Health and Society, Université catholique de Louvain, Brussels, Belgium.
Anne-Francoise DonneauPublic Health Department, Biostatistics Unit, University of Liege, Liege, Belgium.
Anh DiepPublic Health Department, Biostatistics Unit, University of Liege, Liege, Belgium.
Robyn BernsteinCDC Zambia, Lusaka, Zambia.
Akram Al-MasnaiOxfam GB, Oxford, United Kingdom.
Jose Manuel Rodriguez-LlanesEuropean Commission, Joint Research Centre, Ispra, Italy.ORCID https://orcid.org/0000-0003-3736-736X
Gilbert BurnhamDepartment of International Health, Johns Hopkins University Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Johns Hopkins University · USUCLouvain · BEUniversity of Liège · BEJoint Research Centre · ITNational HIV/AIDS/STI/TB Council · ZMOxfam · GBUniversity of Delaware · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

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.

Identifiers

PMID36962390
PMCPMC10022117
OpenAlexW4290667507

What OpenQuestion holds

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LicenceCC BY
measurements read9
reference markers read2
identifiers read7
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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.