ArticleInfectious diseases of poverty2018
Determinants of China's development assistance for health at the sub-national level of African countries (2006-2015).
Article in Infectious diseases of poverty, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers, 1 of them a synthesis that pooled it.
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Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Evolution and effectiveness of bilateral and multilateral development assistance for health: a mixed-methods review of trends and strategic shifts (1990-2022).BMJ global health · 2025Pooled it
- The role of Chinese medical teams in bridging healthcare gaps in Africa: a scoping review.Global health research and policy · 2025Article
- Chinese health funding in Africa: The untold story.PLOS global public health · 2023Article
- Pulling the purse strings: Are there sectoral differences in political preferencing of Chinese aid to Africa?PloS one · 2020Article
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3 authors.
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Abstract
backgroundDespite the increasing interest in China's development assistance for health (DAH) in African countries, little is known regarding the distribution and determinants of China's DAH project allocation among the principle subdivisions (provinces & states) within African countries.
methodsWe mapped the distribution of China's DAH projects in 670 principle subdivisions of 50 African countries during 2006-2015 using web-based information. The political, demographic, health and socioeconomic indicators of DAH allocation were analyzed using conditional logistic regression models. The national capital city and political leader's birth place were selected as the main political indicators, and health indicators were selected according to different fields of the DAH projects.
resultsChina's DAH projects (mainly China medical teams [CMTs], hospitals and anti-malaria centers) were mostly allocated to the western and eastern coasts of Africa, although CMTs were also dispatched to northern Africa. National capital cities were significantly associated with the allocation of China's DAH projects (P < 0.001). Anti-malaria centers were more likely to be allocated to principle subdivisions with larger populations (OR = 1.35), and CMTs were allocated to subdivisions with high population densities (OR = 79.01). No health-related indicators were identified to affect project allocation except for the facility delivery rate and under-five mortality rate, which were associated with hospital allocation. We also found an association between CMT allocation and the use of artemisinin-based combination therapy in children.
conclusionsAllocation of China's DAH projects is strongly affected by political and demographic factors. Implementation of China's new DAH projects should target health and socio-economic indicators and impact metrics in scaling up tailored and cost-effective programs in Africa.
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