A subnational reproductive, maternal, newborn, child, and adolescent health and development atlas of India.
Carla PezzuloNatalia Tejedor-GaravitoHo Man Theophilus ChanIlda DreoniDavid KerrSamik GhoshAmy BonnieMaksym BondarenkoMihretab SalasibewAndrew J TatemPublished in: Scientific data (2023)
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.
Keyphrases
- public health
- high resolution
- mental health
- electronic health record
- healthcare
- south africa
- big data
- young adults
- air pollution
- quality improvement
- global health
- machine learning
- drug delivery
- pregnant women
- social media
- artificial intelligence
- risk assessment
- pregnancy outcomes
- single cell
- preterm birth
- deep learning
- tandem mass spectrometry
- high speed
- weight loss