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. 2021 Jun 25;16(6):e0253573.
doi: 10.1371/journal.pone.0253573. eCollection 2021.

Neonatal mortality clustering in the central districts of Ghana

George Adjei  1 , Eugene K M Darteh  2 , David Teye Doku  2
Affiliations

Neonatal mortality clustering in the central districts of Ghana

George Adjei et al. PLoS One. .

Abstract

Introduction: 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.

Objective: This study aimed to identify high-risk clusters for all-cause and cause-specific neonatal mortality in the Kintampo Districts.

Materials and methods: 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.

Results: 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.

Conclusions: 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.

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Conflict of interest statement

The authors have declared that no competing interests exist.

Figures

Fig 1
Fig 1. Most likely and secondary clusters for all-cause neonatal mortality in the Kintampo Districts.
Fig 2
Fig 2. Most likely cluster and secondary cluster for asphyxiated deaths in the Kintampo Districts.
Fig 3
Fig 3. Most likely and secondary clusters for neonatal deaths due to infections in the Kintampo Districts.
Fig 4
Fig 4. Most likely and secondary clusters for premature deaths in the Kintampo Districts.
Fig 5
Fig 5. Most likely and secondary clusters for other causes of neonatal deaths in the Kintampo Districts.
Fig 6
Fig 6. Most likely cluster and secondary cluster for unexplained deaths in the Kintampo Districts.
See this image and copyright information in PMC

References

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