在以色列-加沙冲突中平民与战斗人员死亡率的比较分析和演变,2008-2023年
Houssein H Ayoub1, Hiam Chemaitelly2,3,4, Laith J Abu-Raddad2,3,4,5,6
1Mathematics Program, Department of Mathematics and Statistics, College of Arts and Sciences, Qatar University, Doha, Qatar.
Frontiers in public health
|July 10, 2024
概括
这项研究引入了一种新的流行病学方法,用于分析冲突中平民与战斗人员的死亡. 调查结果显示,平民在2023年以色列-加沙冲突中成为主要焦点,这表明交战规则发生了转变.
科学领域:
- 流行病学 流行病学
- 冲突研究 冲突研究
- 国际人道主义法 国际人道主义法
背景情况:
- 需要使用统计方法来评估武装冲突中平民伤亡人数.
- 评估战争行为对平民的影响以及遵守国际法.
- 开发一种流行病学方法来调查与冲突有关的死亡率.
研究的目的:
- 引入,开发和应用一种新的流行病学方法来分析冲突中平民与战斗人员的死亡率.
- 量化战争对平民的影响,并确定他们是否是主要焦点.
- 设计一个统计指标,平民死亡指数,以评估平民目标的程度.
主要方法:
- 开发了一种确定性数学模型,根据年龄和性别对冲突相关死亡进行分层分层.
- 使用以色列-加沙冲突的人口和冲突数据对模型进行校准.
- 引入了杀害平民指数指标,以量化平民的目标.
主要成果:
- 据模型估计,加沙的战斗人员死亡比例为62.1% (2008-09),51.1% (2014),12.7% (2023).
- 杀害平民的指数:0.61 (2008-09),0.96 (2014),7.01 (2023年) 在平民中的杀戮.
- 在2023年冲突中,平民被确定为主要焦点,与以前的冲突不同.
结论:
- 调查结果表明,以色列的交战规则正在逐步转变,对平民伤亡的接受度越来越高.
- 2023年以色列-加沙冲突显示出一个显著的离开,平民是主要的焦点.
- 强有力的证据表明平民是战争的对象,他们成为主要焦点的趋势.
相关概念视频
01:20Comparing the Survival Analysis of Two or More Groups
175
Survival analysis is a cornerstone of medical research, used to evaluate the time until an event of interest occurs, such as death, disease recurrence, or recovery. Unlike standard statistical methods, survival analysis is particularly adept at handling censored data—instances where the event has not occurred for some participants by the end of the study or remains unobserved. To address these unique challenges, specialized techniques like the Kaplan-Meier estimator, log-rank test, and...
175
01:21Cancer Survival Analysis
340
Cancer survival analysis focuses on quantifying and interpreting the time from a key starting point, such as diagnosis or the initiation of treatment, to a specific endpoint, such as remission or death. This analysis provides critical insights into treatment effectiveness and factors that influence patient outcomes, helping to shape clinical decisions and guide prognostic evaluations. A cornerstone of oncology research, survival analysis tackles the challenges of skewed, non-normally...
340
01:20Actuarial Approach
73
The actuarial approach, a statistical method originally developed for life insurance risk assessment, is widely used to calculate survival rates in clinical and population studies. This method accounts for participants lost to follow-up or those who die from causes unrelated to the study, ensuring a more accurate representation of survival probabilities.
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...
73
01:18Introduction To Survival Analysis
212
Survival analysis is a statistical method used to study time-to-event data, where the "event" might represent outcomes like death, disease relapse, system failure, or recovery. A unique feature of survival data is censoring, which occurs when the event of interest has not been observed for some individuals during the study period. This requires specialized techniques to handle incomplete data effectively.
The primary goal of survival analysis is to estimate survival time—the time...
The primary goal of survival analysis is to estimate survival time—the time...
212
01:15Assumptions of Survival Analysis
121
Survival models analyze the time until one or more events occur, such as death in biological organisms or failure in mechanical systems. These models are widely used across fields like medicine, biology, engineering, and public health to study time-to-event phenomena. To ensure accurate results, survival analysis relies on key assumptions and careful study design.
121
01:29Life Histories
17.9K
Overview
17.9K