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Neonatal and under-five mortality rate in Indian districts with reference to Sustainable Development Goal 3: An analysis of the National Family Health Survey of India (NFHS), 2015–2016

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  • Jayanta Kumar Bora
  • Nandita Saikia

Abstract

Background and objective: India contributes the highest global share of deaths among the under-fives. Continuous monitoring of the reduction in the under-five mortality rate (U5MR) at local level is thus essential to set priorities for policy-makers and health professionals. In this study, we aimed to provide an update on district-level disparities in the neonatal mortality rate (NMR) and the U5MR with special reference to Sustainable Development Goal 3 (SDG3) on preventable deaths among new-borns and children under five. Data and methods: We used recently released population-based cross-sectional data from the National Family Health Survey (NFHS) conducted in 2015–2016. We used the synthetic cohort probability approach to analyze the full birth history information of women aged 15–49 to estimate the NMR and U5MR for the ten years preceding the survey. Results: Both the NMR and U5MR vary enormously across Indian districts. With respect to the SDG3 target for 2030 for the NMR and the U5MR, the estimated NMR for India for the period studied is about 2.4 times higher, while the estimated U5MR is about double. At district level, while 9% of the districts have already reached the NMR targeted in SDG3, nearly half (315 districts) are not likely to achieve the 2030 target even if they realize the NMR reductions achieved by their own states between the last two rounds of National Family Health Survey of India. Similarly, less than one-third of the districts (177) of India are unlikely to achieve the SDG3 target on the U5MR by 2030. While the majority of high-risk districts for the NMR and U5MR are located in the poorer states of north-central and eastern India, a few high-risk districts for NMR also fall in the rich and advanced states. About 97% of districts from Chhattisgarh and Uttar Pradesh, for example, are unlikely to meet the SDG3 target for preventable deaths among new-borns and children under age five, irrespective of gender. Conclusions: To achieve the SDG3 target on preventable deaths by 2030, the majority of Indian districts clearly need to make a giant leap to reduce their NMR and U5MR.

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  • Jayanta Kumar Bora & Nandita Saikia, 2018. "Neonatal and under-five mortality rate in Indian districts with reference to Sustainable Development Goal 3: An analysis of the National Family Health Survey of India (NFHS), 2015–2016," PLOS ONE, Public Library of Science, vol. 13(7), pages 1-15, July.
  • Handle: RePEc:plo:pone00:0201125
    DOI: 10.1371/journal.pone.0201125
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    References listed on IDEAS

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    1. Ramphul Ohlan, 2013. "Pattern of Regional Disparities in Socio-economic Development in India: District Level Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 114(3), pages 841-873, December.
    2. Abhishek Singh & Praveen Kumar Pathak & Rajesh Kumar Chauhan & William Pan, 2011. "Infant and Child Mortality in India in the Last Two Decades: A Geospatial Analysis," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-19, November.
    3. Chandan Kumar & Prashant Kumar Singh & Rajesh Kumar Rai, 2012. "Under-Five Mortality in High Focus States in India: A District Level Geospatial Analysis," PLOS ONE, Public Library of Science, vol. 7(5), pages 1-15, May.
    4. Premchand Dommaraju & Victor Agadjanian & Scott Yabiku, 2008. "The Pervasive and Persistent Influence of Caste on Child Mortality in India," Population Research and Policy Review, Springer;Southern Demographic Association (SDA), vol. 27(4), pages 477-495, August.
    5. Borooah, Vani K., 2004. "Gender bias among children in India in their diet and immunisation against disease," Social Science & Medicine, Elsevier, vol. 58(9), pages 1719-1731, May.
    6. Sanjay K Mohanty, 2011. "Multidimensional Poverty and Child Survival in India," PLOS ONE, Public Library of Science, vol. 6(10), pages 1-14, October.
    7. Ngianga-Bakwin Kandala & Gebrenegus Ghilagaber, 2006. "A Geo-Additive Bayesian Discrete-Time Survival Model and its Application to Spatial Analysis of Childhood Mortality in Malawi," Quality & Quantity: International Journal of Methodology, Springer, vol. 40(6), pages 935-957, December.
    8. Nandita Saikia & Jayanta Kumar Bora & Domantas Jasilionis & Vladimir M Shkolnikov, 2016. "Disability Divides in India: Evidence from the 2011 Census," PLOS ONE, Public Library of Science, vol. 11(8), pages 1-12, August.
    9. Nandita Saikia & Abhishek Singh & Domantas Jasilionis & Faujdar Ram, 2013. "Explaining the rural-urban gap in infant mortality in India," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 29(18), pages 473-506.
    10. June Y T Po & S V Subramanian, 2011. "Mortality Burden and Socioeconomic Status in India," PLOS ONE, Public Library of Science, vol. 6(2), pages 1-8, February.
    11. Borooah, Vani K., 2004. "On the incidence of diarrhoea among young Indian children," Economics & Human Biology, Elsevier, vol. 2(1), pages 119-138, March.
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    8. Kaushalendra Kumar & Abhishek Singh & Amy Tsui, 2022. "Measuring contraceptive use in India: Implications of recent fieldwork design and implementation of the National Family Health Survey," Demographic Research, Max Planck Institute for Demographic Research, Rostock, Germany, vol. 47(4), pages 73-110.

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