Publication

Health spending and vaccination coverage in low-income countries

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  • 05/20/2025
Type of Material
Authors
    Francisco Castillo-Zunino, Georgia Institute of TechnologyPinar Keskinocak, Emory UniversityDima Nazzal, Georgia Institute of TechnologyMatthew Freeman, Emory University
Language
  • English
Date
  • 2021-05-01
Publisher
  • BMJ PUBLISHING GROUP
Publication Version
Copyright Statement
  • © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY. Published by BMJ.
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Final Published Version (URL)
Title of Journal or Parent Work
Volume
  • 6
Issue
  • 5
Grant/Funding Information
  • This work was supported by the Bill & Melinda Gates Foundation (OPP1195041). This research has also been supported in part by the William W. George endowment and the following benefactors at Georgia Tech: Andrea Laliberte, Joseph C. Mello, Richard E. & Charlene Zalesky, and Claudia & Paul Raines.
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Abstract
  • Introduction Routine immunisation is a cost-effective way to save lives and protect people from disease. Some low-income countries (LIC) achieved remarkable success in childhood immunisation. Yet, previous studies comparing the relationship between economic growth and health spending with vaccination coverage have been limited. We investigated these relationships among LIC to understand what financial changes lead to childhood immunisation changes. Methods We identified which financial indicators were significant predictors of vaccination coverage in LIC by fitting regression models for several vaccines, controlling for population density, land area and female years of education. We then identified LIC with high vaccination coverage (LIC+) and compared their economic and health spending trends with other LIC (LIC-) and lower-middle income countries. We used cross-country multi-year regressions with mixed-effects to test financial indicators' rate of change. We conducted statistical tests to verify if financial trends of LIC+ were significantly different from LIC-. Results During 2014-2018, gross domestic product per capita (p=0.67-0.95, range given by tests with different vaccines), total/private health spending per capita (p=0.57-0.97, p=0.32-0.57) and aggregated development assistance for health (DAH) per capita (p=0.38-0.86) were not significant predictors of vaccination coverage in LIC. Government health spending per capita (p=0.022-0.073) and total/government spending per birth on routine immunisation vaccines (p=0.0007-0.029, p=0.016-0.052) were significant positive predictors of vaccination coverage. From 2000 to 2016, LIC+ increased government health spending per capita by US$0.30 per year, while LIC-decreased by US$0.16 (significant difference, p<0.0001). From 2006 to 2017, LIC+ increased government spending per birth on routine immunisation vaccines by US$0.22 per year, while LIC-increased by US$0.10 (p<0.0093). Conclusion Vaccination coverage success of some LIC was not explained by economic development, total health spending nor aggregated DAH. Vaccination coverage success of LIC+ was associated with increasing government health spending particularly in routine immunisation vaccines.
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  • Environmental Sciences

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