Moore Spencer, Eng Eugenia, Daniel Mark
Centre for Health and Policy Studies, Department of Community Health Sciences, Faculty of Medicine, University of Calgary, G230 Health Sciences Bldg, 3330 Hospital Dr. NW, Calgary, AB T2N 4N1, Canada.
Disasters. 2003 Dec;27(4):305-18. doi: 10.1111/j.0361-3666.2003.00235.x.
In February 2000, Mozambique suffered its worst flooding in almost 50 years: 699 people died and hundreds of thousands were displaced. Over 49 countries and 30 international non-governmental organisations provided humanitarian assistance. Coordination of disaster assistance is critical for effective humanitarian aid operations, but limited attention has been directed toward evaluating the system-wide structure of inter-organisational coordination during humanitarian operations. Network analysis methods were used to examine the structure of inter-organisational relations among 65 non-governmental organisations (NGOs) involved in the flood operations in Mozambique. Centrality scores were used to estimate NGO-specific potential for aid coordination and tested against NGO beneficiary numbers. The average number of relief- and recovery-period beneficiaries was significantly greater for NGOs with high relative to low centrality scores (p < 0.05). This report addresses the significance of these findings in the context of the Mozambican 2000 floods and the type of data required to evaluate system-wide coordination.
2000年2月，莫桑比克遭受了近50年来最严重的洪灾：699人死亡，数十万人流离失所。49多个国家和30个国际非政府组织提供了人道主义援助。灾害援助的协调对于有效的人道主义援助行动至关重要，但在评估人道主义行动期间组织间协调的全系统结构方面，人们给予的关注有限。网络分析方法被用来研究参与莫桑比克洪水行动的65个非政府组织（NGO）之间的组织间关系结构。中心性得分被用来估计非政府组织在援助协调方面的特定潜力，并与非政府组织的受益人数进行对比测试。中心性得分高的非政府组织在救济和恢复期的平均受益人数明显多于得分低的非政府组织（p < 0.05）。本报告阐述了这些发现在2000年莫桑比克洪灾背景下的重要性以及评估全系统协调所需的数据类型。
