Publications by authors named "M Boniol"

Introduction: An adequate health workforce is one of the cornerstones of a healthy nation. Over the last two decades, Africa has gained momentum in mitigating critical health workforce gaps, but urgent actions are still needed to accelerate progress towards universal health coverage and ensuring health security. This analysis provides an overview of the health workforce in the WHO African Region for the last decade.

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Introduction: An adequate health workforce (HWF) is essential to achieving the targets of the Sustainable Development Goals (SDG), including universal health coverage. However, weak HWF planning and constrained fiscal space for health, among other factors in the WHO Africa Region, has consistently resulted in underinvestment in HWF development, shortages of the HWF at the frontlines of service delivery and unemployment of qualified and trained health workers. This is further compounded by the ever-evolving disease burden and reduced access to essential health services along the continuum of health promotion, disease prevention, diagnostics, curative care, rehabilitation and palliative care.

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Introduction: The COVID-19 pandemic challenged the scientific community to find and develop a vaccine to fight the disease. However, problems with achieving high vaccine coverage have emerged, even among high-risk groups such as healthcare workers (HCWs).

Objective: The objective of this study is to examine factors that influence HCW's and the general population's adherence to COVID-19 vaccination and national policies to vaccinate HCWs and other target groups.

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Insufficient progress has been made to reduce morbidity and mortality for women, children and adolescents particularly in Humanitarian and Fragile settings (HFS). Midwives play a critical and unique role in ensuring communities receive quality and safe essential sexual, reproductive, maternal, newborn, child, and adolescent health services. A lack of knowledge exists on the availability and experiences of midwifery services in HFS.

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Background: To investigate the impacts of the COVID-19 pandemic on the health workforce, we aimed to develop a framework that synergizes natural language processing (NLP) techniques and human-generated analysis to reduce, organize, classify, and analyze a vast volume of publicly available news articles to complement scientific literature and support strategic policy dialogue, advocacy, and decision-making.

Objective: This study aimed to explore the possibility of systematically scanning intelligence from media that are usually not captured or best gathered through structured academic channels and inform on the impacts of the COVID-19 pandemic on the health workforce, contributing factors to the pervasiveness of the impacts, and policy responses, as depicted in publicly available news articles. Our focus was to investigate the impacts of the COVID-19 pandemic and, concurrently, assess the feasibility of gathering health workforce insights from open sources rapidly.

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