Publications by authors named "M C Samba"

Despite efforts to enhance public investment in Senegal's health sector, the equitable distribution of benefits between socioeconomic groups remains largely unexplored. To address this gap, our study examines the progressive (or regressive) nature of public health expenditure. Utilizing data from the latest survey on household living conditions (2018-2019) in conjunction with administrative data on health expenditure from the same period (provided by the Ministry of Health of Senegal), we performed a benefit incidence analysis.

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This study examines the link between access to energy and women's human capital by focusing on women's life expectancy and school enrollment. To evaluate this relationship, we take a supranational perspective by using data from a panel of 34 sub-Saharan African countries over a 21-year period from 2000 to 2020. To do so, the ordinary least squares estimation technique applied to a fixed effects specification was adopted.

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Objectives: Discriminatory attitudes (DA) of dental surgeons towards PLWHIV may hinder their access to oral health care. The objective of this study was to identify the factors associated with the discriminatory attitudes of dentists towards PLHIV in Côte d’Ivoire.

Methods: This was a cross-sectional study conducted on a randomly selected sample of dentists in Abidjan.

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Background: Age estimation by invasive dental methods is a destructive, costly and time-consuming approach, whereas, age estimation methods using dental radiographs are simple, non-destructive and provide reliable information. Age estimation by the Kvaal radiographic method has proven to be a reliable method, but possible ethnic variations may limit its uses in other populations. The objective of this study was to reproduce the original Kvaal method with CBCT for the estimation of the age of the adult melano-African subject in Côte d'Ivoire, in order to propose an age estimation formula, specific to our study population, by taking into account the measurements of tooth and pulp ratios.

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Background: Health information systems are crucial to provide data for decision-making and demand for data is constantly growing. However, the link between data and decisions is not always rational or linear and the management of data ends up overloading frontline health workers, which may compromise quality of healthcare delivery. Despite limited evidence, there is an increasing push for the digitalization of health information systems, which poses enormous challenges, particularly in remote, rural settings in low- and middle-income countries.

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