Publications by authors named "N Chehata"

Objective: In Lebanon, HIV prevalence among key populations such as men who have sex with men is high at 12%, warranting a need for targeted healthcare efforts. Pre-exposure prophylaxis (PrEP) is an effective prevention measure, yet global challenges persist, including limited awareness of PrEP among healthcare professionals. This study investigates PrEP awareness within the Lebanese medical community.

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Background: In the evolving HIV landscape, the Middle East and Northern Africa (MENA) grapples with data gaps, hindering the 95-95-95 targets. Lebanon, despite progress, falls short. Our study addresses Pre-exposure Prophylaxis (PrEP) gaps for effective HIV prevention.

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Multispectral and 3D LiDAR remote sensing data sources are valuable tools for characterizing the 3D vegetation structure and thus understanding the relationship between forest structure, biodiversity, and microclimate. This study focuses on mapping riparian forest species in the canopy strata using a fusion of Airborne LiDAR data and multispectral multi-source and multi-resolution satellite imagery: Sentinel-2 and Pleiades at tree level. The idea is to assess the contribution of each data source in the tree species classification at the considered level.

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Background: The emergence of bacterial resistance caused health authorities to attempt to implement strict regulations for rational antibiotic prescription. However, supervision is often neglected in low- and middle-income countries, leading to inappropriate administration of antibiotics. The objective of our study is to highlight the lack of monitoring in the community setting of a middle-income country.

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Introduction: We lack data on the epidemiology and management of brain abscesses in the Middle East. The aim of this study is to report a case series of brain abscesses admitted at a tertiary care center in Lebanon, between January 2008 and December 2018.

Methodology: This retrospective study aimed at determining the demographic data, treatment, and correlations between different studied variables with prognosis of patients that received treatment.

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