Modelling the economic and health impacts of crises: a system dynamics analysis of health and military investments across income groups

This study uses a calibrated system-dynamics model to compare the economic and health implications of health-system and military expenditure during crises across high-, middle-, and low-income countries. Annual data for 180 countries cover 1990–2024; the model was calibrated over 1990–2019 and evaluated out of sample over 2020–2024. We simulated four policy paths for 2025–2044: baseline expenditure, a 20% increase in health expenditure (Health + ), a 20% increase in military expenditure (Military + ), and simultaneous increases in both (Combined). Outcomes include cumulative economic damage, disability-adjusted life years (DALYs), GDP growth, public debt and incremental net monetary benefit (INMB). Under the specified model assumptions, Health + produced lower simulated economic damage and DALY burdens than Military + in each income group. In high-income countries, simulated economic damage was 19.2% below baseline under Health+, compared with 9.8% under Military + ; Combined produced a 22.9% reduction. The direction of the comparison was similar in middle- and low-income groups, although the estimated gains were smaller. Using population-scaled DALYs and income-specific willingness-to-pay thresholds, the INMB ranking was Combined > Health + > Military + > Baseline. The findings support examining sustained civilian health-system capacity as a central component of crisis preparedness, with military logistical resources considered a conditional complement rather than a substitute. These are scenario-based comparisons, not causal estimates of spending effects.

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Journal
Health Economics Review
Published
2026-10-26
DOI
https://doi.org/10.1186/s13561-026-00884-z
Primary Topic
Global Health Care Issues
Type
article
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article

Modelling the economic and health impacts of crises: a system dynamics analysis of health and military investments across income groups

Ramin Amani, Parisa Mehdizadeh, Maryam Yaghoubi, Mohsen Abbasi Farajzadeh et al.
Health Economics Review
Global Health Care Issues
article

Modelling the economic and health impacts of crises: a system dynamics analysis of health and military investments across income groups

Ramin Amani, Parisa Mehdizadeh, Maryam Yaghoubi, Mohsen Abbasi Farajzadeh, Mohammad Amiri-Ara
article en

Abstract

This study uses a calibrated system-dynamics model to compare the economic and health implications of health-system and military expenditure during crises across high-, middle-, and low-income countries. Annual data for 180 countries cover 1990–2024; the model was calibrated over 1990–2019 and evaluated out of sample over 2020–2024. We simulated four policy paths for 2025–2044: baseline expenditure, a 20% increase in health expenditure (Health + ), a 20% increase in military expenditure (Military + ), and simultaneous increases in both (Combined). Outcomes include cumulative economic damage, disability-adjusted life years (DALYs), GDP growth, public debt and incremental net monetary benefit (INMB). Under the specified model assumptions, Health + produced lower simulated economic damage and DALY burdens than Military + in each income group. In high-income countries, simulated economic damage was 19.2% below baseline under Health+, compared with 9.8% under Military + ; Combined produced a 22.9% reduction. The direction of the comparison was similar in middle- and low-income groups, although the estimated gains were smaller. Using population-scaled DALYs and income-specific willingness-to-pay thresholds, the INMB ranking was Combined > Health + > Military + > Baseline. The findings support examining sustained civilian health-system capacity as a central component of crisis preparedness, with military logistical resources considered a conditional complement rather than a substitute. These are scenario-based comparisons, not causal estimates of spending effects.

Health Economics Review
Baqiyatallah University of Medical Sciences (IR)
Openalex Percentile: Top 9%
Global Health Care Issues
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