在复杂的人道主义紧急情况中使用网络生存方法估计死亡率.
Casey F Breen1, Saeed Rahman2, Christina Kay3
1Leverhulme Centre for Demographic Science, Department of Sociology and Nuffield College, University of Oxford, Oxford, United Kingdom.
American journal of epidemiology
|May 7, 2025
概括
在人道主义危机中估计死亡率至关重要. 一种新的社交网络方法提供了一个潜在的替代品,当传统调查是不可能的,虽然需要进一步验证.
科学领域:
- 公共卫生 公共卫生
- 人口统计学 人口统计学
- 人道主义研究 人道主义研究
背景情况:
- 准确的死亡率估计对于人道主义危机应对和资源分配至关重要.
- 传统的死亡率调查方法在复杂的人道主义紧急情况下往往是不可行的,因为后勤和安全的限制.
研究的目的:
- 开发和测试一种使用社交网络数据在人道主义紧急情况下估计原始死亡率 (CDR) 的新方法.
- 评估基于网络的方法作为传统调查的替代方案的可行性和潜力.
主要方法:
- 开发了一种新方法,利用调查受访者社交网络 (邻居和亲属) 中的死亡报告.
- 原始数据是从刚果民主共和国坦加尼卡省的5311个人收集的.
- 基于网络的CDR估计与标准的回顾性家庭死亡调查进行了比较.
主要成果:
- 基于网络的方法得出估计的粗死亡率 (CDR) 为每10,000人/天0.44例死亡.
- 在同一环境下进行的标准回顾性家庭死亡率调查估计CDR为每1万人/天0.81例死亡,几乎是网络估计的两倍.
- 这两种估计方法均呈现出可信但差异较大的结果.
结论:
- 社交网络方法显示出在具有挑战性的人道主义环境中估计死亡率的前景.
- 基于网络和传统调查方法之间的显著差异凸显了需要进一步研究和验证的需要.
- 继续开发这两种方法对于改善危机评估和应对至关重要.
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