Imperial College London
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ProfessorMajidEzzati

Faculty of Medicine, School of Public Health

Chair in Global Environmental Health
 
 
 
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Contact

 

majid.ezzati Website

 
 
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Location

 

Sir Michael Uren HubWhite City Campus

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Summary

 

Publications

Citation

BibTex format

@article{Bixby:2022:10.1136/bmjopen-2021-054030,
author = {Bixby, H and Bennett, J and Bawah, AA and Arku, RE and Annim, SK and Anum, JD and Mintah, SE and Schmidt, AM and Agyei-Asabere, C and Robinson, BE and Cavanaugh, A and Agyei-Mensah, S and Owusu, G and Ezzati, M and Baumgarter, J},
doi = {10.1136/bmjopen-2021-054030},
journal = {BMJ Open},
title = {Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis},
url = {http://dx.doi.org/10.1136/bmjopen-2021-054030},
volume = {12},
year = {2022}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - Objective Countries in sub-Saharan Africa suffer the highest rates of child mortality worldwide. Urban areas tend to have lower mortality than rural areas, but these comparisons likely mask large within-city inequalities. We aimed to estimate rates of under-five mortality (U5M) at the neighbourhood level for Ghana’s Greater Accra Metropolitan Area (GAMA) and measure the extent of intraurban inequalities.Methods We accessed data on >700 000 women aged 25–49 years living in GAMA using the most recent Ghana census (2010). We summarised counts of child births and deaths by five-year age group of women and neighbourhood (n=406) and applied indirect demographic methods to convert the summaries to yearly probabilities of death before age five years. We fitted a Bayesian spatiotemporal model to the neighbourhood U5M probabilities to obtain estimates for the year 2010 and examined their correlations with indicators of neighbourhood living and socioeconomic conditions.Results U5M varied almost five-fold across neighbourhoods in GAMA in 2010, ranging from 28 (95% credible interval (CrI) 8 to 63) to 138 (95% CrI 111 to 167) deaths per 1000 live births. U5M was highest in neighbourhoods of the central urban core and industrial areas, with an average of 95 deaths per 1000 live births across these neighbourhoods. Peri-urban neighbourhoods performed better, on average, but rates varied more across neighbourhoods compared with neighbourhoods in the central urban areas. U5M was negatively correlated with multiple indicators of improved living and socioeconomic conditions among peri-urban neighbourhoods. Among urban neighbourhoods, correlations with these factors were weaker or, in some cases, reversed, including with median household consumption and women’s schooling.Conclusion Reducing child mortality in high-burden urban neighbourhoods in GAMA, where a substantial portion of the urban population resides, should be prioritised as part of continued
AU  - Bixby,H
AU  - Bennett,J
AU  - Bawah,AA
AU  - Arku,RE
AU  - Annim,SK
AU  - Anum,JD
AU  - Mintah,SE
AU  - Schmidt,AM
AU  - Agyei-Asabere,C
AU  - Robinson,BE
AU  - Cavanaugh,A
AU  - Agyei-Mensah,S
AU  - Owusu,G
AU  - Ezzati,M
AU  - Baumgarter,J
DO  - 10.1136/bmjopen-2021-054030
PY  - 2022///
SN  - 2044-6055
TI  - Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis
T2  - BMJ Open
UR  - http://dx.doi.org/10.1136/bmjopen-2021-054030
UR  - http://hdl.handle.net/10044/1/93638
VL  - 12
ER  -
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