Shafiq Yasir, Muhammad Ameer, Noor Saba, Kumar Kantesh, Chhipa Ume E Aimen, Valente Martina, Razzak Junaid, Ragazzoni Luca, Barone-Adesi Francesco, Pham Phuong
Centre of Excellence for Trauma and Emergencies, Aga Khan University, Karachi, Pakistan.
Harvard Humanitarian Initiative, Harvard T. H. Chan School of Public Health, Boston, MA, USA.
Sci Rep. 2025 Jul 22;15(1):26527. doi: 10.1038/s41598-025-10490-4.
The INFORM (Index for Risk Management) identifies risk hotspots by assessing Hazard and Exposure, Vulnerability, and Coping capacity across 76 indicators. However, the original index may have overlooked the specific vulnerabilities of women and children, even within the vulnerable group in emergencies. This study recalibrated the index by redefining key indicators to better reflect risks for these groups. INFORM Index Risk formulation is "Risk = Hazard and Exposure 1/3 x Vulnerability 1/3 x Lack of coping capacity 1/3' resulted in a total score ranging from 0 to 10, with the higher score being the higher risk. We recalibrated the 2024 INFORM Risk formula by adjusting for female and child (ages 0-14) populations in 67 countries across the Eastern Mediterranean, South Asia, and Sub-Saharan Africa. We categorized the 76 metrics as (1) those with gender-disaggregated data, (2) those adaptable for specific populations using literature, and (3) generalized indicators needing no adjustment. Shifts in risk classifications were noted among 67 countries. Initially, 13 countries (19.4%) were at 'very high' risk, and 18 (26.9%) were at 'high' risk. After recalibration, 52 countries (77.6%) showed score changes from 0.1 to 0.6 points. Six countries moved from 'high' to 'very high' risk, raising this class to 19 (28.3%). The paired t-test revealed a statistically significant difference between the original and recalibrated risk scores (mean difference = -0.17, 95% CI: -0.20, -0.13, p < 0.001). The difference in Vulnerability scores (mean difference = -0.32; 95% CI: -0.44, -0.21; p-value < 0.000) and Coping capacity (mean difference = -0.18; 95% CI: -0.23, -0.12; p-value < 0.000) were significant, derived changes in the INFORM Risk Index. The recalibrated INFORM index highlights that accurate, disaggregated data is crucial for understanding the specific needs of vulnerable populations, enabling more informed decision-making in risk management and resilience planning.
INFORM(风险管理指数)通过评估76项指标中的危害与暴露、脆弱性及应对能力来识别风险热点。然而,原始指数可能忽略了妇女和儿童的特定脆弱性,即使在紧急情况下的弱势群体中也是如此。本研究通过重新定义关键指标对该指数进行了重新校准,以更好地反映这些群体面临的风险。INFORM指数的风险公式为“风险 = 危害与暴露的1/3 × 脆弱性的1/3 × 应对能力缺失的1/3”,总分范围为0至10分,分数越高风险越高。我们通过对东地中海、南亚和撒哈拉以南非洲67个国家的女性和儿童(0至14岁)人口进行调整,重新校准了2024年的INFORM风险公式。我们将76项指标分为三类:(1)具有按性别分类数据的指标;(2)可通过文献适用于特定人群的指标;(3)无需调整的通用指标。67个国家的风险分类发生了变化。最初,13个国家(19.4%)处于“极高”风险,18个国家(26.9%)处于“高”风险。重新校准后,52个国家(77.6%)的分数变化在0.1至0.6分之间。6个国家从“高”风险升至“极高”风险,使这一类别增至19个国家(28.3%)。配对t检验显示,原始风险分数与重新校准后的风险分数之间存在统计学上的显著差异(平均差异 = -0.17,95%置信区间:-0.20,-0.13,p < 0.001)。脆弱性分数的差异(平均差异 = -0.32;95%置信区间:-0.44,-0.21;p值 < 0.000)和应对能力的差异(平均差异 = -0.18;95%置信区间:-0.23,-0.12;p值 < 0.000)均显著,这源于INFORM风险指数的变化。重新校准后的INFORM指数强调,准确的分类数据对于了解弱势群体的具体需求至关重要,有助于在风险管理和恢复力规划中做出更明智的决策。