Publications by authors named "Kedir Hussein Abegaz"

Background: Maternal morbidity and mortality remain critical public health challenges in Ethiopia with limited evidence on the effectiveness of interventions and health promotion strategies. A scoping review of the existing literature on maternal morbidity and mortality interventions and health promotion in Ethiopia can provide a comprehensive overview of the current evidence, identify research gaps and establish a framework for successful maternal morbidity and mortality interventions.

Objective: The systematic review seeks to assess the existing literature on maternal morbidity and mortality interventions in Ethiopia to develop an evidence-based framework for effective interventions.

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Objectives: This study aimed to assess the time to recovery and its predictors among 6-59 months aged children treated at an outpatient therapeutic feeding programme in Borena zone.

Design: A retrospective cohort study.

Setting: Facility based; 23 treatment sites included in this study.

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Like other nations around the world, Ethiopia has suffered negative effects from COVID-19. The objective of this study was to predict COVID-19 mortality using Artificial Intelligence (AI)-driven models. Two-year daily recorded data related to COVID-19 were trained and tested to predict mortality using machine learning algorithms.

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East Africa was not exempt from the devastating effects of COVID-19, which led to the nearly complete cessation of social and economic activities worldwide. The objective of this study was to predict mortality due to COVID-19 using an artificial intelligence-driven ensemble model in East Africa. The dataset, which spans two years, was divided into training and verification datasets.

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Article Synopsis
  • Injury is a significant public health concern in Europe, with notable differences in injury death rates and disability-adjusted life years (DALYs) across sub-regions and countries, particularly between Eastern, Central, and Western Europe.
  • The study analyzed GBD 2019 data from 44 European countries over 20 years, focusing on injury mortality and DALY rates by cause and sex while assessing inequalities based on country comparisons.
  • Findings reveal that Eastern Europe has the highest injury death rates (80 deaths per 100,000), while Italy has the lowest injury DALY rate, indicating that males experience greater disparities in injury impact than females.
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Background: While there is a long history of measuring death and disability from injuries, modern research methods must account for the wide spectrum of disability that can occur in an injury, and must provide estimates with sufficient demographic, geographical and temporal detail to be useful for policy makers. The Global Burden of Disease (GBD) 2017 study used methods to provide highly detailed estimates of global injury burden that meet these criteria.

Methods: In this study, we report and discuss the methods used in GBD 2017 for injury morbidity and mortality burden estimation.

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