Population mortality before and during armed conflict in Yemen: geospatial and statistical analysis of cemetery data

Author:

Checchi FrancescoORCID,Besson Emilie Koum,Ali Ola,Alhaffar MervatORCID,Saeed Naji,Vasquez Yolanda,Freemantle Terri,Ashraf Momin,Reeve Chris,Scott Colin,Lingard Timothy,Norris Andy

Abstract

AbstractSince 2014, Yemen is affected by crisis conditions due to armed conflict. Evidence on the impact of this large-scale crisis on mortality is lacking. We analysed archive very high-resolution satellite imagery from a sample of Yemeni subdistricts to quantify changes in burial incidence attributable to the crisis.We identified possible cemeteries through remote and ground sources in 24 sampled subdistricts. After initial triage and extensive steps to improve the interpretability of archive imagery spanning the period 2011 to 2021, a pool of crowd workers, supervised by expert analysts and aided by an automated algorithm, annotated surface area and grave counts in sequential images from a set of analysis-eligible cemeteries. We complemented these longitudinal observations with data on different predictors including three crisis proxies (incidence of insecurity events, price of staple cereal, internal displacement), and fitted statistical models to compare predicted burials under observed and assumed counterfactual (no crisis) conditions.We identified 561 potential cemeteries within 24 sampled subdistricts, but excluded most due to inability to geolocate them or see the cemetery and/or graves in available imagery, yielding an effective sample of 110 image observations across 35 cemeteries in 10 subdistricts. Burial rate generally decreased between 2014-2018 and rose sharply thereafter. Alternative regression models suggested that most cemeteries would have experienced lower burial rate under non-crisis conditions, with a crisis to non-crisis ratio of about two overall. The incidence of insecurity events appeared positively associated with burial rate.This unprecedented-scale geospatial analysis of cemeteries suggests an increase in burial rates attributable to crisis conditions in a non-representative, disproportionately urban sample of Yemen. The study identifies key challenges of such an analysis. We discuss possible methodological ways forward to further explore the feasibility and validity of this option for mortality estimation in settings with insufficient vital events registration and limited ground access.

Publisher

Cold Spring Harbor Laboratory

Reference39 articles.

1. United Nations Office for Coordination of Humanitarian Affairs. Yemen Situation Report. OCHA. 2023. https://www.unocha.org/yemen. Accessed 10 Feb 2023.

2. Maxwell D , Hailey P , Spainhour Baker L , Kim JJ. Constraints and Complexities of Information and Analysis in Humanitarian Emergencies: Evidence from Yemen. Feinstein International Center, Tufts University and Centre for Humanitarian Change; 2019.

3. Armed Conflict Location & Event Data Project (ACLED). Research Hub: War in Yemen. 2023. https://acleddata.com/research-hub-war-in-yemen/. Accessed 10 Feb 2023.

4. Dureab F , Al-Falahi E , Ismail O , Al-Marhali L , Al Jawaldeh A , Nuri NN , et al. An Overview on Acute Malnutrition and Food Insecurity among Children during the Conflict in Yemen. Children. 2019;6:77.

5. Hashim HT , Miranda AV , Babar MS , Essar MY , Hussain H , Ahmad S , et al. Yemen’s triple emergency: Food crisis amid a civil war and COVID-19 pandemic. Public Health in Practice. 2021;2:100082.

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