Armed conflict linked to global measles cases through displacement and socioeconomic disruption: A 193-country analysis (2000-2023)
By
Tyler Y. Headley,
Summary
This study by Tyler Headley and Yesim Tozan uses structural equation modeling and fixed-effects panel regression to analyze the association between armed conflict, population displacement, socioeconomic development, and measles burden across 193 countries from 2000 to 2023. The research examines 4,632 country-year observations, using battle-related deaths (BRDs) and forcibly displaced population sizes as observed variables, with socioeconomic development modeled as a latent variable. The study investigates how armed conflict indirectly affects measles cases through population displacement and socioeconomic disruption over more than two decades of global data.
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Key quotes
· 2 pulledWe analyzed longitudinal country-level data comprising 4,632 country-year observations, combining fixed-effects panel regression and structural equation modeling (SEM).
Observed variables included battle-related deaths (BRDs) and forcibly displaced population sizes, while socioeconomic development was modeled as a latent variable.
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