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Table 2 Association between China’s development assistance for health allocation and subnational political and demographic characteristics

From: Determinants of China’s development assistance for health at the sub-national level of African countries (2006–2015)

  Medical teams Hospitals Anti-malaria centers
Univariate model Multivariate model Univariate model Multivariate model Univariate model Multivariate model
cOR P-value aOR P-value cOR P-value aOR P-value cOR P-value aOR P-value
Political indicators
 Birth places of national leaders* 1.97 0.050 1.17 0.778 2.18 0.067 1.61 0.362 1.83 0.182 1.16 0.885
 Capital city of the country 76.80 <  0.001 29.62 <  0.001 9.16 <  0.001 7.98 <  0.001 49.65 <  0.001 35.42 <  0.001
Demographic and economic indicators
 Number of population (per million increase) 1.27 0.090 2.02 0.004 1.02 0.848 0.92 0.638 1.90 0.001 1.35 0.015
 Population density (1000/km2 increase) 40.30 <  0.001 79.01 0.006 1.27 0.014 0.84 0.324 1.99 <  0.001 1.63 0.382
 Nighttime light (per scale increase) 1.22 <  0.001 0.80 0.031 1.10 <  0.001 1.06 0.147 1.16 <  0.001 0.96 0.707
  1. Abbreviations: DAH Development Assistance for Health, cOR crude odds ratio, aOR adjusted odds ratio. Conditional logistic regression model was used to calculate the odds ratio for each outcome (allocation of the China medical teams, hospitals or anti-malaria centers). Univariate model only included one potential factor and multivariate model included all the five indicators. P-value was reported for both models
  2. *Missingness on leaders’ birth place was 16.0% (n = 107 principle subdivisions in 5 countries)