How do drone strikes and glide bombs affect civilians in conflict zones?

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1. 1

   Civilian death and injury from airstrikes: evidence from the war in Tigray, Ethiopia.

   Population health metrics (Gebregziabher et al.)Published Mar 14, 2025Checked Oct 11, 2026

   “Almost a third of the victims (28.3%, n = 323) were children aged 60 years (5.3%, n = 61). Almost half (45.1%, n = 516) of the causalities were female including pregnant and lactating women. The Southern and Northwest zones suffered the most casualties, followed by the Southeast zones and Mekelle. The airstrikes took place predominantly in civilian areas, including marketplaces, internally displaced persons (IDP) camps, residential areas, public transportation, villages, children's playgrounds, churches, mills and hospitals, resulting in numerous casualties that disproportionately affected civilians, especially children, the elderly and women.ConclusionsCivilians suffered significant death and injury from airstrikes during hostilities in the war in Tigray, including a high proportion of women and children. The most common targets were civilian facilities including IDP camps, which the United Nations has determined to be a crime against humanity. Enhanced collaboration between health and protection stakeholders can improve support to victims from immediate post-injury care as well as rehabilitation so that they can live as healthy, dignified, and productive citizens.”

2. 2

   A predictive, multi-source, attack-level model to quantify and characterize the injury burden and need for reconstructive surgery in Gaza.

   EClinicalMedicine (Haravu et al.)Published Feb 18, 2026Checked Oct 11, 2026

   “Injuries were greatest in air and shelling attacks, during periods of actively moving conflict, and in densely populated areas, especially in urban settings before and after they were devastated to rubble. Of those injuries, 29,000-46,000 were predicted to require reconstructive surgery, with over 80% due to explosions, and rising to 34,000-48,000 by May 2026. Model predictions were correlated with observed outcomes, with Spearman's ρ = 0.723 (p = 7.06 × 10-30) in the training set and ρ = 0.487 (p = 3.99 × 10-23) in the testing set. Event rates: 75,982 reported injuries in training period; 2523 injuries in validation period; 41,202 injuries in testing period.InterpretationTo our knowledge this is the first predictive model to forecast the injury burden in Gaza based on attack characteristics using granular multi-source data. Our findings corroborate figures published by the Gaza MoH and demonstrate that the burden will continue to grow without cessation of hostilities, further exacerbating reconstructive surgical need.FundingBass Connections grant, Duke University.”

3. 3

   Mapping war trauma: A machine learning approach to predict mental health impacts in Ukraine.

   SSM - population health (Tayebi et al.)Published Nov 15, 2025Checked Oct 11, 2026

   “All models were trained and tested on spatially independent training and testing splits in order to preserve the generalization properties of the models. XG Boost is also shown to be effective, with R2 values often exceeding 0.74 and MAPE values typically less than 7.2 %. Feature importance analysis revealed that key drivers of being exposed to prolonged cold, inadequate insulation, and exposure to drones or artillery were found to be dominant drivers of psychological distress. This GeoAI framework combines the strength of geospatial analytics with artificial intelligence to give precise and high-resolution location-based forecasting of mental health burdens in conflict settings. The method offers a flexible tool for a proactive humanitarian response that can target mental health services spatially based on predictions of mental health vulnerability, in contrast to retrospective clinical information, for relief agencies and public health planners. This work is a step towards incorporating GeoAI in the field of crisis epidemiology, demonstrating the ability to use GeoAI in real-time, place-based mental health planning in war-affected areas.”

4. 4

   Russian glide bomb attack on Zaporizhzhia kills at least 20 people

   BBC NewsPublished Oct 10, 2026Checked Oct 11, 2026

   “Volodymyr Zelensky says the attack, which left children dead, was Russia expressing its "thanks" for a US diesel deal.”

5. 5

   Civilian casualty ratio (Wikipedia)

   WikipediaPublished Oct 10, 2026Checked Oct 11, 2026

   “The civilian casualty ratio in armed conflicts quantifies the percentage of civilian casualties in relation to combatant or total casualties, including fatalities, injuries, and wider demographic effects. According to global estimates from Uppsala Conflict Data Program and the International Committee of the Red Cross, baseline civilian proportions typically fall between 30% and 66%, depending on the urban or general warfare context.”

6. 6

   Application of unmanned aerial vehicles in modern battlefields and their impact on post-traumatic stress disorder in military personnel: A review.

   General psychiatry (Xue et al.)Published Aug 27, 2026Checked Oct 11, 2026

   “This review systematically examines the primary applications of UAVs on the battlefield and explores the complex relationship between UAV warfare and post-traumatic stress disorder (PTSD) among military personnel. It analyses the unique psychological stressors associated with UAV operations, such as the moral dilemmas of remote killing, the persistent tension from continuous surveillance and trauma exposure patterns that differ from those in traditional combat. By integrating recent advances in molecular biology, neuroimaging and clinical psychology, this review highlights the epidemiological characteristics, neurobiological mechanisms, clinical manifestations and treatment challenges of PTSD in both UAV operators and ground troops affected by UAV activities. By providing a comprehensive perspective on the mental health issues stemming from this novel mode of warfare, this article aims to inform the development of targeted prevention and intervention strategies to better support the psychological resilience of military personnel in the era of unmanned combat.”