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A tale of two continents: Infant death clustering in India and sub-Saharan Africa

A tale of two continents: Infant death clustering in India and sub-Saharan Africa
A tale of two continents: Infant death clustering in India and sub-Saharan Africa
The reasons for death clustering within families and the mechanisms which give rise to the phenomena are of interest to researchers and policymakers. Multilevel discrete-time hazard models are fitted to data from 34 demographic and health surveys from India and Africa to estimate the magnitude of death clustering within families after adjusting for socio-economic and demographic factors. A further stage of the analysis relates death clustering with country-level social, economic, and development indicators. The results show that levels of death clustering are lower in India than in Africa with average intra-family correlation coefficients of 0.01 in India and 0.05 in Africa. A positive association is found of death clustering with poverty, HIV prevalence, overall mortality and fertility, but the association with aggregate income and child under-nutrition is negative. Death clustering is higher in those Indian states with wider gender inequality in literacy.
A03/14
Southampton Statistical Sciences Research Institute, University of Southampton
Madise, Nyovani
2ea2fbcc-50da-4696-a0a5-2fe01db63d8c
Matthews, Zoë
ebaee878-8cb8-415f-8aa1-3af2c3856f55
Whitworth, Alison
4761a642-3fd4-462d-83f0-faef7d6ec5c2
Madise, Nyovani
2ea2fbcc-50da-4696-a0a5-2fe01db63d8c
Matthews, Zoë
ebaee878-8cb8-415f-8aa1-3af2c3856f55
Whitworth, Alison
4761a642-3fd4-462d-83f0-faef7d6ec5c2

Madise, Nyovani, Matthews, Zoë and Whitworth, Alison (2003) A tale of two continents: Infant death clustering in India and sub-Saharan Africa (S3RI Applications and Policy Working Papers, A03/14) Southampton, UK. Southampton Statistical Sciences Research Institute, University of Southampton 42pp.

Record type: Monograph (Working Paper)

Abstract

The reasons for death clustering within families and the mechanisms which give rise to the phenomena are of interest to researchers and policymakers. Multilevel discrete-time hazard models are fitted to data from 34 demographic and health surveys from India and Africa to estimate the magnitude of death clustering within families after adjusting for socio-economic and demographic factors. A further stage of the analysis relates death clustering with country-level social, economic, and development indicators. The results show that levels of death clustering are lower in India than in Africa with average intra-family correlation coefficients of 0.01 in India and 0.05 in Africa. A positive association is found of death clustering with poverty, HIV prevalence, overall mortality and fertility, but the association with aggregate income and child under-nutrition is negative. Death clustering is higher in those Indian states with wider gender inequality in literacy.

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Published date: 2003

Identifiers

Local EPrints ID: 8149
URI: http://eprints.soton.ac.uk/id/eprint/8149
PURE UUID: 94e9c730-fb64-4f80-ab94-48218d384009
ORCID for Nyovani Madise: ORCID iD orcid.org/0000-0002-2813-5295
ORCID for Zoë Matthews: ORCID iD orcid.org/0000-0003-1533-6618

Catalogue record

Date deposited: 11 Jul 2004
Last modified: 16 Mar 2024 02:47

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Contributors

Author: Nyovani Madise ORCID iD
Author: Zoë Matthews ORCID iD
Author: Alison Whitworth

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