Determinants of China's development assistance for health at the sub-national level of African countries (2006-2015).

BACKGROUND: Despite 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. METHODS: We 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. RESULTS: China'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. CONCLUSIONS: Allocation 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.

[Study on measurement of cholesterol in serum by near-infrared spectroscopy and applicability of models].

To study rapid analysis of cholesterol concentration in human serum with no reagent, near-infrared spectroscopy was used. Applicability of analytical models was studied. Spectra of serum were measured by a FT-NIR spectrometer with 1, 2 and 6. 5 mm optical path length respectively. Partial least-square (PLS) models were calibrated for cholesterol in combination, first overtone and second overtone spectral regions. Root mean square error of prediction (RMSEP) of these models is 0.15, 0.16 and 0.29 mmol x L(-1), and mean percent error of prediction (MPEP) is 2.9%, 3.1% and 4.8%, respectively. To validate applicability of these models, other two groups of serum spectra were measured in one month after the models were calibrated. These two sample groups were calculated using calibrated models. Prediction result of 1 mm model is the best. The result of this experiment indicates that it's possible to calibrate precise models for cholesterol. If model is based on thinner samples, applicability is better.