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Item new Peer-reviewed Added

Life expectancy in 28 countries modelled by machine learning on six drivers

Machine learning on a 28-country panel found a concave income-longevity link, and projected mean life expectancy of 78.21 years in 2032 under baseline against 78.98 under an integrated prevention scenario.

The study modelled life expectancy at birth against six drivers in 28 countries over 2003-2022. The abstract names income, health-system capacity, public health interventions, environmental quality and demographic change among them. A range of machine learning techniques allowed nonlinear associations; income showed a concave relationship with longevity. The preferred model projected life expectancy to 2032 under baseline, accelerated health-expenditure, and integrated health-system and prevention scenarios. Mean life expectancy was 78.10 years in 2022 and 78.21, 78.34 and 78.98 years in 2032 respectively. Gains concentrated where coverage gaps remained; the authors call these predictive scenarios, not causal counterfactuals, across 28 countries only.

Why it is interesting: It separates health-system capacity and prevention from income as predictors of national longevity. The spread across scenarios is under one year by 2032.

Source
Population Health Metrics, 15 October 2026
Type
Peer-reviewed article
Design
Cross-country panel of 28 countries, 2003–2022, machine-learning models with scenario projections to 2032
Verdict
New finding
Driver
Health systems and access
Driver
Forecasts and their record

Other drivers in Data, models and systems