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Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis

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...

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Autores principales: Bixby, Honor, Bennett, James E, Bawah, Ayaga A, Arku, Raphael E, Annim, Samuel K, Anum, Jacqueline D, Mintah, Samilia E, Schmidt, Alexandra M, Agyei-Asabere, Charles, Robinson, Brian E, Cavanaugh, Alicia, Agyei-Mensah, Samuel, Owusu, George, Ezzati, Majid, Baumgartner, Jill
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762100/
https://www.ncbi.nlm.nih.gov/pubmed/35027422
http://dx.doi.org/10.1136/bmjopen-2021-054030
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author Bixby, Honor
Bennett, James E
Bawah, Ayaga A
Arku, Raphael E
Annim, Samuel K
Anum, Jacqueline D
Mintah, Samilia E
Schmidt, Alexandra M
Agyei-Asabere, Charles
Robinson, Brian E
Cavanaugh, Alicia
Agyei-Mensah, Samuel
Owusu, George
Ezzati, Majid
Baumgartner, Jill
author_facet Bixby, Honor
Bennett, James E
Bawah, Ayaga A
Arku, Raphael E
Annim, Samuel K
Anum, Jacqueline D
Mintah, Samilia E
Schmidt, Alexandra M
Agyei-Asabere, Charles
Robinson, Brian E
Cavanaugh, Alicia
Agyei-Mensah, Samuel
Owusu, George
Ezzati, Majid
Baumgartner, Jill
author_sort Bixby, Honor
collection PubMed
description 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 efforts to meet the Sustainable Development Goal national target of less than 25 deaths per 1000 live births.
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spelling pubmed-87621002022-01-26 Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis Bixby, Honor Bennett, James E Bawah, Ayaga A Arku, Raphael E Annim, Samuel K Anum, Jacqueline D Mintah, Samilia E Schmidt, Alexandra M Agyei-Asabere, Charles Robinson, Brian E Cavanaugh, Alicia Agyei-Mensah, Samuel Owusu, George Ezzati, Majid Baumgartner, Jill BMJ Open Epidemiology 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 efforts to meet the Sustainable Development Goal national target of less than 25 deaths per 1000 live births. BMJ Publishing Group 2022-01-13 /pmc/articles/PMC8762100/ /pubmed/35027422 http://dx.doi.org/10.1136/bmjopen-2021-054030 Text en © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY. Published by BMJ. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.
spellingShingle Epidemiology
Bixby, Honor
Bennett, James E
Bawah, Ayaga A
Arku, Raphael E
Annim, Samuel K
Anum, Jacqueline D
Mintah, Samilia E
Schmidt, Alexandra M
Agyei-Asabere, Charles
Robinson, Brian E
Cavanaugh, Alicia
Agyei-Mensah, Samuel
Owusu, George
Ezzati, Majid
Baumgartner, Jill
Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis
title Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis
title_full Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis
title_fullStr Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis
title_full_unstemmed Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis
title_short Quantifying within-city inequalities in child mortality across neighbourhoods in Accra, Ghana: a Bayesian spatial analysis
title_sort quantifying within-city inequalities in child mortality across neighbourhoods in accra, ghana: a bayesian spatial analysis
topic Epidemiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8762100/
https://www.ncbi.nlm.nih.gov/pubmed/35027422
http://dx.doi.org/10.1136/bmjopen-2021-054030
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