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Figures, Supplemental Figures and Supplemental Material for Fanda et al:Local Systems, Local Solutions: Which factors drive essential medicine availability in public health facilities across Indonesia?

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NIAID Data Ecosystem2026-05-10 收录
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https://doi.org/10.7910/DVN/GWFKZJ
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This archive is used to store figures and data for the manuscript titled "Local Systems, Local Solutions: Which factors drive essential medicine availability in public health facilities across Indonesia?", submitted to BMJ Global Health In this folder, there are: Figure 1. Distribution of the medicine availability in Primary Health Centres in Indonesia in 2019. Figure 2a. Spatial autocorrelation of availability of medications at PHC level within a two-kilometre-distance. Figure 2sb. The map of a hotspot analysis to identify clusters of medicine availability at the PHC level in Indonesia. Supplemental Figure 1. Key functions of the local pharmaceutical system Supplemental Figure 2a. Histogram of residuals from spatial autocorrelation analysis. Supplemental Figure 2b. Visualizing fitted values against observed medicine availability in PHCs to assess potential heteroscedasticity and model accuracy from spatial autocorrelation analysis. Supplemental Figure 2c. Visualizing residuals against fitted values to check for constant variance, potential heteroscedasticity, and outliers in the regression model from spatial autocorrelation analysis. Supplemental Figure 2d. Histogram of residuals from multilevel analysis. Supplemental Figure 2e. Visualizing fitted values against observed medicine availability in PHCs to assess potential heteroscedasticity and model accuracy from multilevel analysis. Supplemental Figure 2f. Visualizing residuals against fitted values to check for constant variance, potential heteroscedasticity, and outliers in the regression model from multilevel analysis. Supplemental Figure 3. A local indicator of spatial association analysis. X-axis normalized availability of medicines in health facility, Y-axis: normalized availability of medicines of neighboring facilities (10 km inverse distance weights). Supplemental Material Do File
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2025-11-08
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