WorldPop, School of Geography and Environmental Science, University of Southampton, Highfield Campus, Southampton, SO17 1BJ, UK.
School of Mathematical Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Sci Data. 2023 Feb 10;10(1):86. doi: 10.1038/s41597-023-01961-2.
Understanding the fine scale and subnational spatial distribution of reproductive, maternal, newborn, child, and adolescent health and development indicators is crucial for targeting and increasing the efficiency of resources for public health and development planning. National governments are committed to improve the lives of their people, lift the population out of poverty and to achieve the Sustainable Development Goals. We created an open access collection of high resolution gridded and district level health and development datasets of India using mainly the 2015-16 National Family Health Survey (NFHS-4) data, and provide estimates at higher granularity than what is available in NFHS-4, to support policies with spatially detailed data. Bayesian methods for the construction of 5 km × 5 km high resolution maps were applied for a set of indicators where the data allowed (36 datasets), while for some other indicators, only district level data were produced. All data were summarised using the India district administrative boundaries. In total, 138 high resolution and district level datasets for 28 indicators were produced and made openly available.
了解生殖、孕产妇、新生儿、儿童和青少年健康与发展指标的精细尺度和次国家空间分布,对于针对特定人群和提高公共卫生和发展规划资源的效率至关重要。各国政府致力于改善人民的生活,使人民摆脱贫困,实现可持续发展目标。我们创建了一个开放获取的印度高分辨率网格化和地区卫生和发展数据集集合,主要使用了 2015-16 年国家家庭健康调查(NFHS-4)的数据,并提供了比 NFHS-4 中更高的粒度估计值,以支持具有空间详细数据的政策。对于允许数据的一组指标(36 个数据集),我们应用了贝叶斯方法来构建 5 公里×5 公里的高分辨率地图,而对于其他一些指标,则仅生成了地区级数据。所有数据均使用印度地区行政边界进行汇总。总共制作并公开了 138 个高分辨率和地区级数据集,涵盖 28 个指标。