Neonatal mortality clustering in the central districts of Ghana.

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 neonat

SUBMITTER: Adjei G 

PROVIDER: S-EPMC8232428 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature