India, public health, Parliamentary Constituency, PC, Assembly Constituency, AC, Gram Panchayat, GP
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21 to 30 of 34 Results
Apr 27, 2021
Kumar, Akhil; Gupta, Aashish; Subramanian, S V, 2021, "Lost Lives of Children: The Unfinished Agenda", https://doi.org/10.7910/DVN/PADMQZ, Harvard Dataverse, V1, UNF:6:lPiVuOxOnlCIztcW+dgqtQ== [fileUNF]
Over 128 MILLION children under the age of 5 died since 2000. In the year 2020 alone, over 4.5 million children died, with an overwhelming majority being preventable. Over the last year the unfortunate losses due to COVID-19 have been brought to our attention on a daily basis. Yet the recurring, but silent, tragedy of childhood deaths has become ev...
Tabular Data - 335 B - 1 Variables, 1 Observations - UNF:6:lPiVuOxOnlCIztcW+dgqtQ==
Feb 24, 2021
Kumar, Akhil; Wang, Weiyu; Kim, Sojin; Zhang, Weixing; Kim, Rockli; Subramanian, S V, 2021, "Neonatal, Postneonatal, and Childhood Mortality in India (2016)", https://doi.org/10.7910/DVN/07TG5Q, Harvard Dataverse, V3, UNF:6:eI9CK+nDmg+PIOmtEK94MQ== [fileUNF]
Estimates for Per 1,000 Live Births (Prevalence), Head Count, and Prevalence-Headcount Metric for Neonatal, Postneonatal, and Childhood Mortality across 640 Districts in India (2016)
Tabular Data - 791 B - 1 Variables, 2 Observations - UNF:6:eI9CK+nDmg+PIOmtEK94MQ==
Jan 7, 2021
Wang, Weiyu; Zhang, Weixing; Subramanian, S V, 2020, "Prevalence of Anemia, Underweight and Stunting in 342 Districts of India", https://doi.org/10.7910/DVN/VNFYSP, Harvard Dataverse, V4, UNF:6:G1ss0jK1L906+DVJxjG/aA== [fileUNF]
This document presents the prevalence of anemia, underweight and stunting among children, adolescent and women for 342 Districts (17 States and 5 Union Territories) of India from the fourth (2015-16) and fifth (2019-20) National Family Health Survey (NFHS) and percentage point changes between the two surveys.
Tabular Data - 38.2 KB - 15 Variables, 343 Observations - UNF:6:G1ss0jK1L906+DVJxjG/aA==
Sep 28, 2020
deSouza, Priyanka N; Subramanian, S V, 2020, "COVID-19 across United States congressional districts for three cumulative time periods", https://doi.org/10.7910/DVN/KPI7WW, Harvard Dataverse, V1
The data replicate tables and figures from "COVID-19 across United States congressional districts", by deSouza and Subramanian.
MS Excel Spreadsheet - 104.0 KB - MD5: e57bb9ff2508a9ba1d2437837fb0b43a
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