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Association between Development Assistance for Health and Disease Burden: A Longitudinal Analysis on Official Development Assistance for HIV/AIDS, Tuberculosis, and Malaria in 2005–2017

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  • Sumin Kim

    (Department of Global Development and Entrepreneurship, Graduate School of Global Development and Entrepreneurship, Handong Global University, Pohang 37554, Korea
    Department of Clinical Research Design and Evaluation, Samsung Advanced Institute for Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul 06355, Korea
    Department of Pediatrics, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul 06355, Korea)

  • Ermias Tadesse

    (Department of Human Ecology and Technology, Graduate School of Advanced Convergence, Handong Global University, Pohang 37554, Korea)

  • Yan Jin

    (Department of Microbiology, Dongguk University College of Medicine, Gyeongju 38066, Korea)

  • Seungman Cha

    (Department of Global Development and Entrepreneurship, Graduate School of Global Development and Entrepreneurship, Handong Global University, Pohang 37554, Korea)

Abstract

From the early stage of the millennium development goals campaign, HIV/AIDS, tuberculosis and malaria have received huge aid funds. With the datasets published by the Institute for Health Metrics and Evaluation, Organization for Economic Cooperation and Developments, and World Health Organization from 2005 to 2017, we analyzed the association between the total DAH or DAH per capita and the disease burden. We measured the total DAH or DAH per capita as the dependent variable, with six independent variables of disease burden for Disability Adjusted Life Year (DALY), number of infected people, number of deaths, prevalence, incidence, and mortality rate. For the trend in ODA targeting, the likelihood ratio test of the fixed effects models was used to assess any existence of slope changes in linear regression across the years. The total amount of DAH and DAH per capita was found positively related with every aspect of disease burden, with the regression coefficients increasing during 2005–2017. For instance, the slope of association between the DAH per capita and the disease burden of malaria became steeper over time (likelihood ratio, χ 2 = 26.14, p < 0.001). Although the selection criteria for the recipient country have been controversial, ODA targeting has been performed based on disease burden in this research.

Suggested Citation

  • Sumin Kim & Ermias Tadesse & Yan Jin & Seungman Cha, 2022. "Association between Development Assistance for Health and Disease Burden: A Longitudinal Analysis on Official Development Assistance for HIV/AIDS, Tuberculosis, and Malaria in 2005–2017," IJERPH, MDPI, vol. 19(21), pages 1-12, October.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:21:p:14091-:d:956710
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    References listed on IDEAS

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    1. Alesina, Alberto & Dollar, David, 2000. "Who Gives Foreign Aid to Whom and Why?," Journal of Economic Growth, Springer, vol. 5(1), pages 33-63, March.
    2. Ale Bulir & A. Javier Hamann, 2003. "Aid Volatility: An Empirical Assessment," IMF Staff Papers, Palgrave Macmillan, vol. 50(1), pages 1-4.
    3. Devi Sridhar, 2012. "Regulate alcohol for global health," Nature, Nature, vol. 482(7385), pages 302-302, February.
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    Cited by:

    1. Allison Bailey & Paula R. Prist, 2024. "Landscape and Socioeconomic Factors Determine Malaria Incidence in Tropical Forest Countries," IJERPH, MDPI, vol. 21(5), pages 1-21, April.

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