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An adequate amount of prepaid resources for health is important to ensure access to health services and for the pursuit of universal health coverage. Previous studies on global health financing have described the relationship between economic development and health financing. In this study, we furth
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er explore global health financing trends and examine how the sources of funds used, types of services purchased, and development assistance for health disbursed change with economic development. We also identify countries that deviate from the trends.
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Global investments in pandemic preparedness and COVID-19: development assistance and domestic spending on health between 1990 and 2026
Global Burden of Disease 2021 Health Financing Collaborator Network
The Lancet Glob Health
(2023)
C2
The COVID-19 pandemic highlighted gaps in health surveillance systems, disease prevention, and treatment globally. Among the many factors that might have led to these gaps is the issue of the financing of national health systems, especially in low-income and middle-income countries (LMICs), as well
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as a robust global system for pandemic preparedness.
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nformation is scarce about the extent to which official development assistance (ODA) is spent on reproductive health to provide childbirth care; support family planning; address sexual health; and prevent, treat, and care for sexually transmitted in
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fections, including HIV. We analysed flows of ODA to reproductive health for 2009 and 2010, assessed their distribution by donor type and purpose, and investigated the extent to which disbursements respond to need. We aimed to provide global estimates of aid to reproductive health, to assess the allocation of resources across reproductive health activities, and to encourage donor accountability in targeting aid flows to those most in need.
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Over the past two decades, China has become a distinctive and increasingly important donor of development assistance for health (DAH). However, little is known about what factors influence China’s priority-setting for DAH. In this study, we provid
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e an updated analysis of trends in the priorities of Chinese DAH and compare them to comparable trends among OECD Development Assistance Committee (DAC) donors using data from the AidData’s Global Chinese Development Finance Dataset (2000–2017, version 2.0) and the Creditor Reporting System (CRS) database (2000–2017). We also analyse Chinese medical aid exports before and after the start of the COVID-19 pandemic using a Chinese Aid Exports Database.
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Strategic information and analytics report No 1, published 17 April 2025. 75 out of 106
surveyed countries reported disruptions in at least one essential health service area.
The Lancet Global Health Online firstFebruary 02, 2026
Forecasting analyses projected that ongoing reductions in ODA funding could, under a severe defunding scenario, result in 22·6 million (95% uncertainty interval [UI] 16·3-29·3) additional deaths across all ages by 2030, including 5·4 millio
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n (4·1-6·8) among children younger than 5 years. Under a mild defunding scenario-defined as a continuation of current downward trends-the projected excess deaths would be 9·4 million (95% UI 6·2-12·6) overall and 2·5 million (1·8-3·2) among children younger than 5 years.
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Overall, harmonisation and innovation should be the
focus of the future direction of DAH and the creation of
a healthy global community. The world needs all hands
on deck if it were to move towards achieving the SDGs,
addressing global health inequalities and improving the
welfare of the global
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population, while ensuring that no
one is left behind.
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Nearly 90 years after Simon Kuznets first introduced Gross Domestic Product (GDP) for the limited purpose of measuring economic growth (by measuring the monetary value of all local goods and services within a given period of time), calls continue to mount for decision-makers to stop using GDP and it
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s derivate, Gross National Income (GNI), for purposes far beyond their original design. This is particularly true in the case of the development assistance architecture, where these indicators are used as proxies to measure a nation’s overall well-being and, in some cases, eligibility for external funding. The GNI-based classification system has recently even been suggested by some Member States as a criterion to access to medicines in the new WHO Pandemic Agreement.
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The outbreak of COVID-19 comes with unpredictable primary and secondary impacts on vulnerable and food-insecure populations across the world. Mortality and morbidity appear to be most acute for elderly people, and those with underlying health conditions. At the same time, the widely anti
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cipated economic downturn could have a more devastating effect on the world’s poor than the virus itself
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Little is known about foreign aid provided by private donors. This paper contributes to closing this research gap by comparing the allocation of private humanitarian aid to that of official humanitarian aid awarded to 140 recipient countries over the 2000-2016 period. We construct a new database tha
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t offers information on the country in which the headquarters of private donors are located to test whether private donors follow the aid allocation pattern of their home country. Our empirical results confirm that private aid “follows the flag.” This finding is robust against the inclusion of various fixed effects, estimating instrumental variables models, and disaggregating private aid into corporate aid and NGO aid. Donor country-specific estimations reveal that private aid from China, Sweden, the United Kingdom, and the United States “follow the flag.”
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Background: Sustainable Development Goal (SDG) 3 aims to “ensure healthy lives and promote well-being for all at all ages”. While a substantial effort has been made to quantify progress towards SDG3, less research has focused on tracking spending towards this goal. We used spending estimates to
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measure progress in financing the priority areas of SDG3, examine the association between outcomes and financing, and identify where resource gains are most needed to achieve the SDG3 indicators for which data are available. Methods: We estimated domestic health spending, disaggregated by source (government, out-of-pocket, and prepaid private) from 1995 to 2017 for 195 countries and territories. For disease-specific health spending, we estimated spending for HIV/AIDS and tuberculosis for 135 low-income and middle-income countries, and malaria in 106 malaria-endemic countries, from 2000 to 2017. We also estimated development assistance for health (DAH) from 1990 to 2019, by source, disbursing development agency, recipient, and health focus area, including DAH for pandemic preparedness. Finally, we estimated future health spending for 195 countries and territories from 2018 until 2030. We report all spending estimates in inflation-adjusted 2019 US$, unless otherwise stated.
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Comprehensive and comparable estimates of health spending in each country are a key input for health
policy and planning, and are necessary to support the achievement of national and international health goals. Previous
studies have tracked past and projected future health spending until 2040 and
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shown that, with economic development,
countries tend to spend more on health per capita, with a decreasing share of spending from development assistance
and out-of-pocket sources. We aimed to characterise the past, p
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Climate change is adversely affecting human health. Rapid and wide-scale adaptation is urgently needed given the negative impact climate change has across the socio-environmental determinants of health. The mobilisation of climate finance is critical to accelerate adaptation towards a climate resili
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ent health sector. However, a comprehensive understanding
of how much bilateral and multilateral climate adaptation financing has been channelled to the health sector is currently missing. Here, we provide a baseline estimate of a decade’s worth of international climate adaptation finance for the health sector. We systematically searched international financial reporting databases to analyse 1) the volumes, and geographic targeting, of adaptation finance for the health sector globally between 2009–2019 and 2) the focus of health adaptation projects based on a content analysis of publicly available project documentation.
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Over-plagued with deadly siege, the Eastern Ghota is still subject to a vicious military regime attack in an attempt to force its people to flee for their life or just die in place. The sufferings in Eastern Ghota have been continuing, unabated for more than five running years, leaving the area bere
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aved of almost all basic necessities for survival with grave shortage of resources. The Syrian regime is currently making attempts to displace the civilians by wreaking havoc in the area, preventing the entry of basic foodstuffs, and denying medical access for critical cases or even their exit for treatment.
In a series of reports issued by the Information Management Unit (IMU) of the Assistance Coordination Unit (ACU) and through its network of enumerators and in coordination with the Local Council of Rural Damascus Governorate, the 2nd edition of the report ” Siege and Death in the Eastern Ghouta” is issued to sound off warning bells about the hardship situation in Eastern Ghota, much as it is intended to raise the alarm regarding the displacement enforced and the human rights violations committed by the regime. The report at the same time sheds lights on the looming catastrophe before it may occur.
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Practical Guide to Mental Health Problems
recommended
This 88 page book is designed to help primary care workers understand mental health problems and how they can be treated. Mental health problems from childhood to old age are examined. The book focuses primarily on the Afghan culture but is also relevant to a wider community
Based on the Vulnerability Index developed in this review, an estimated 22.7 million persons in Myanmar, or 44% of the population, were found to have some form of vulnerability related to human development and/or exposure to active conflict/violence. These people experience varying combinations of p
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oor housing, lack of education, poor educational attainment, lack of access to safe sanitation and improved drinking water, and direct exposure to conflict.
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
Original file: 15 MB more
Shan and Ayeyarwady have the largest populations of vulnerable persons, a function of both their size and relative vulnerability in comparison to other States and Regions. Yangon and Shan show the widest variation in vulnerability across townships (in terms of the number of vulnerable persons and their level of vulnerability), followed by Mandalay, Chin and Rakhine.
Original file: 15 MB more
