Evidence map›Paper›PMID 36106597›Full record

ArticleGlobal health action2022

The international humanitarian response to famine in Tigray, Ethiopia:lessons from the Nigerian Civil War, 1967-1970.

James F Phillips, Charlotte M Roy, Mulugeta Gebregziabher

Abstract read
In one paragraph

Article in Global health action, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

James F PhillipsHeilbrunn Department of Population and Family Health, Mailman School of Public Health, Columbia University, New York, NY, USA.ORCID 0000-0002-6720-7204
Charlotte M RoyDepartment of Emergency Medicine, Loma Linda University Medical Center, Loma Linda, CA, USA.ORCID 0000-0002-1481-3905
Mulugeta GebregziabherDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, SC, USA.ORCID 0000-0002-4826-481X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Tigray crisis in Ethiopia is a grave humanitarian catastrophe with causes and consequences that resemble the Nigerian Civil War that ended with the defeat of secessionist Biafra five decades ago. As in the Biafra example, an ethnically distinct and embattled enclave is surrounded by hostile forces and cut off from commerce of any kind, producing starvation, forced migrant encampments, and pervasive dependence on externally provided food relief. Relief action strategies developed during the Nigerian Civil War were comprised of operational components that were often insufficiently integrated into a unified system for nutritional screening, referral, acute care, nutritional rehabilitation, and team deployment. This lack of strategic integration for post-conflict relief actions merits review for possible lessons that could avert its recurrence in Tigray. If evidence-based systems for relief organization had been comprehensively applied in Biafra, the pace of post-conflict nutritional recovery could have been accelerated. Although component strategies of the Biafra-Nigeria Relief Action are being replicated by various agencies that are providing humanitarian assistance in Tigray, their collective impact could be enhanced if these strategies were integrated into a unified, evidence-driven systems response to the emergency. The elements of such a systems approach for assisting Tigray are reviewed.

Indexed as

FamineWarfareAltruismEthiopiaHumansNigeriaNutritional StatusNutrition AssessmentBiafraEthiopiaNigerian Civil WarNutritional emergencyTigray

Identifiers

PMID36106597
PMCPMC9481073

What OpenQuestion holds

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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.