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Published on: November 18, 2019
Excess under-5 female mortality across India: a spatial analysis using 2011 census data
Christophe Z Guilmoto1, Nandita Saikia2, Vandana Tamrakar3
1Centre Population et Développement (CEPED), Institut de Recherche pour le Développement (IRD), Institut National de la Santé et de la Recherche Médicale (INSERM), Université Paris Descartes, Paris, France.
Excess female mortality in India results in over 239,000 preventable child deaths annually. Postnatal discrimination against girls, particularly in northern India, drives this alarming trend, linked to low development and high fertility.
Area of Science:
- Global Health
- Demography
- Public Health
Background:
- Excess female mortality contributes significantly to the global 'missing women' phenomenon.
- Avoidable deaths of women disproportionately occur in childhood, especially in India and China.
Purpose of the Study:
- To estimate excess female under-5 mortality rate (U5MR) across India's states and districts.
- To identify factors associated with excess female mortality at the district level.
Main Methods:
- Utilized the summary birth history (Brass) method to derive district-level U5MR estimates by sex from 2011 census data.
- Employed spatial and statistical analyses, referencing data from 46 countries without gender mortality bias, to assess excess female mortality correlates.
Main Results:
- India experienced an excess female U5MR of 18.5 per 1000 livebirths (2000-2005), equating to approximately 239,000 excess deaths annually.
- Over 90% of districts showed excess female mortality, with northern states (Uttar Pradesh, Bihar, Rajasthan, Madhya Pradesh) accounting for two-thirds of the total.
- Low economic development, gender inequity, and high fertility were key predictors; spatial analysis revealed clustering of postnatal discrimination against girls.
Conclusions:
- Gender bias significantly impacts mortality in India, necessitating targeted interventions for postnatal sex discrimination.
- Focus on northern districts is crucial, as these areas are most affected by postnatal discrimination, distinct from regions with skewed sex ratios at birth.
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