Neonatal mortality clustering in the central districts of Ghana.

<h4>Introduction</h4>Identifying high risk geographical clusters for neonatal mortality is important for guiding policy and targeted interventions. However, limited studies have been conducted in Ghana to identify such clusters.<h4>Objective</h4>This study aimed to identify h...

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Autores principales:	George Adjei, Eugene K M Darteh, David Teye Doku
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2021
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/e6b15f9f1fa14fe4956407f076262da6
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spelling	oai:doaj.org-article:e6b15f9f1fa14fe4956407f076262da62021-12-02T20:09:58ZNeonatal mortality clustering in the central districts of Ghana.1932-620310.1371/journal.pone.0253573https://doaj.org/article/e6b15f9f1fa14fe4956407f076262da62021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0253573https://doaj.org/toc/1932-6203<h4>Introduction</h4>Identifying high risk geographical clusters for neonatal mortality is important for guiding policy and targeted interventions. However, limited studies have been conducted in Ghana to identify such clusters.<h4>Objective</h4>This study aimed to identify high-risk clusters for all-cause and cause-specific neonatal mortality in the Kintampo Districts.<h4>Materials and methods</h4>Secondary data, comprising of 30,132 singleton neonates between January 2005 and December 2014, from the Kintampo Health and Demographic Surveillance System (KHDSS) database were used. Verbal autopsies were used to determine probable causes of neonatal deaths. Purely spatial analysis was ran to scan for high-risk clusters using Poisson and Bernoulli models for all-cause and cause-specific neonatal mortality in the Kintampo Districts respectively with village as the unit of analysis.<h4>Results</h4>The study revealed significantly high risk of village-clusters for neonatal deaths due to asphyxia (RR = 1.98, p = 0.012) and prematurity (RR = 5.47, p = 0.025) in the southern part of Kintampo Districts. Clusters (emerging clusters) which have the potential to be significant in future, for all-cause neonatal mortality was also identified in the south-western part of the Kintampo Districts.<h4>Conclusions</h4>Study findings showed cause-specific neonatal mortality clustering in the southern part of the Kintampo Districts. Emerging cluster was also identified for all-cause neonatal mortality. More attention is needed on prematurity and asphyxia in the identified cause-specific neonatal mortality clusters. The emerging cluster for all-cause neonatal mortality also needs more attention to forestall any formation of significant mortality cluster in the future. Further research is also required to understand the high concentration of prematurity and asphyxiated deaths in the identified clusters.George AdjeiEugene K M DartehDavid Teye DokuPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 6, p e0253573 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q George Adjei Eugene K M Darteh David Teye Doku Neonatal mortality clustering in the central districts of Ghana.
description	<h4>Introduction</h4>Identifying high risk geographical clusters for neonatal mortality is important for guiding policy and targeted interventions. However, limited studies have been conducted in Ghana to identify such clusters.<h4>Objective</h4>This study aimed to identify high-risk clusters for all-cause and cause-specific neonatal mortality in the Kintampo Districts.<h4>Materials and methods</h4>Secondary data, comprising of 30,132 singleton neonates between January 2005 and December 2014, from the Kintampo Health and Demographic Surveillance System (KHDSS) database were used. Verbal autopsies were used to determine probable causes of neonatal deaths. Purely spatial analysis was ran to scan for high-risk clusters using Poisson and Bernoulli models for all-cause and cause-specific neonatal mortality in the Kintampo Districts respectively with village as the unit of analysis.<h4>Results</h4>The study revealed significantly high risk of village-clusters for neonatal deaths due to asphyxia (RR = 1.98, p = 0.012) and prematurity (RR = 5.47, p = 0.025) in the southern part of Kintampo Districts. Clusters (emerging clusters) which have the potential to be significant in future, for all-cause neonatal mortality was also identified in the south-western part of the Kintampo Districts.<h4>Conclusions</h4>Study findings showed cause-specific neonatal mortality clustering in the southern part of the Kintampo Districts. Emerging cluster was also identified for all-cause neonatal mortality. More attention is needed on prematurity and asphyxia in the identified cause-specific neonatal mortality clusters. The emerging cluster for all-cause neonatal mortality also needs more attention to forestall any formation of significant mortality cluster in the future. Further research is also required to understand the high concentration of prematurity and asphyxiated deaths in the identified clusters.
format	article
author	George Adjei Eugene K M Darteh David Teye Doku
author_facet	George Adjei Eugene K M Darteh David Teye Doku
author_sort	George Adjei
title	Neonatal mortality clustering in the central districts of Ghana.
title_short	Neonatal mortality clustering in the central districts of Ghana.
title_full	Neonatal mortality clustering in the central districts of Ghana.
title_fullStr	Neonatal mortality clustering in the central districts of Ghana.
title_full_unstemmed	Neonatal mortality clustering in the central districts of Ghana.
title_sort	neonatal mortality clustering in the central districts of ghana.
publisher	Public Library of Science (PLoS)
publishDate	2021
url	https://doaj.org/article/e6b15f9f1fa14fe4956407f076262da6
work_keys_str_mv	AT georgeadjei neonatalmortalityclusteringinthecentraldistrictsofghana AT eugenekmdarteh neonatalmortalityclusteringinthecentraldistrictsofghana AT davidteyedoku neonatalmortalityclusteringinthecentraldistrictsofghana
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Neonatal mortality clustering in the central districts of Ghana.

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