Reasoning over Interrupted Trends in Systemic Shocks: A Logic-Driven ITSA and Clustering Analysis of Human Development Disruption

Understanding how global systemic shocks disrupt long-term development trajectories requires more than economic indicators—it demands a multidimensional perspective grounded in human capabilities and structural resilience. The COVID-19 pandemic has disrupted key dimensions of human development worldwide, amplifying pre-existing inequalities and challenging national capacities to sustain progress in health, education, and income. While numerous studies have examined how countries with different Human Development Index (HDI) levels responded to the pandemic, few have investigated the inverse: how the pandemic itself disrupted the HDI. This gap exists in part due to the limited availability of post-pandemic data until recent years. This study addresses that gap by analyzing how the COVID-19 crisis affected the evolution of HDI across the 15 countries with the highest GDP between 2012 and 2022. We apply Interrupted Time Series Analysis (ITSA) and K-means clustering to detect structural breaks in national HDI trajectories and to classify countries into behavioral profiles based on their post-pandemic recovery patterns. The analysis isolates the impact on each HDI component —life expectancy, expected and mean years of schooling, and gross national income per capita— and identifies five distinct clusters: resilient growth, rapid recovery, slow recovery, stagnation, and sustained decline. The integrated ITSA’s and K-means logic-based structure supports causal reasoning under temporal disruption, enabling interpretable cross-country comparisons. The findings highlight the uneven nature of human development recovery and underscore the value of reasoning-driven approaches for policy design under uncertainty and systemic shock. This work contributes to scientific understanding of development resilience by demonstrating how logic-based temporal analysis and structured reasoning techniques can be applied to quantify and interpret systemic disruptions in human development, and supports societal efforts aligned with the UN Sustainable Development Goals, particularly SDG 3 (Health), SDG 4 (Education), and SDG 10 (Reduced Inequalities).