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

Area of Science:

• Public Health
• Epidemiology
• Conflict Studies

Background:

• The ongoing conflict in Gaza since October 2023 has resulted in a significant Palestinian civilian injury burden.
• The healthcare system in Gaza is fragile and its capacity to provide reconstructive surgery is severely limited.
• Accurate data on injury patterns and volume is crucial for effective planning but challenging to obtain in conflict zones.

Purpose of the Study:

• To computationally estimate and characterize injuries in Gaza.
• To provide a comparison to reported injury figures.
• To forecast future injuries and aid in planning for reconstructive surgical needs.

Main Methods:

• A multivariate negative binomial regression model was developed using attack data, geospatial mapping, and population density estimates.
• The model incorporated data from humanitarian, governmental, and media sources from October 2023 to April 2024.
• Daily injury counts were modeled as a function of attack characteristics, population density, infrastructure, and conflict areas, with forecasts extending to May 2026.

Main Results:

• The model predicted 116,020 injuries between October 2023 and May 2025, closely aligning with reported figures.
• Injuries were most frequent during air and shelling attacks in densely populated urban areas experiencing active conflict.
• An estimated 29,000-46,000 injuries required reconstructive surgery, a number projected to increase by May 2026.

Conclusions:

• This study presents the first predictive model for Gaza's injury burden based on attack characteristics and multi-source data.
• The model's predictions corroborate official figures and indicate a continuing rise in injuries and reconstructive surgical needs if hostilities persist.
• Findings underscore the urgent need for sustained humanitarian aid and reconstructive surgical capacity in Gaza.