Publications by authors named "M Altmann"

Introduction: Translation is a fundamental process of life. In eukaryotes, the elongation step of translation is highly conserved and is driven by eukaryotic translation elongation factors (eEF)1A and eEF2. A significant variation of the elongation is the activity of eukaryotic elongation factor (eEF) 3 in encoded by the gene yeast elongation factor () with orthologs in all fungal species, a few algae, and some protists.

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Background: In the treatment of acute malnutrition (AM), non-response is considered a treatment failure for not meeting recovery criteria within a therapeutic window of 12-16 weeks, but this category of children is misunderstood. As current research emphasizes ways to simplify and optimize treatment protocols, non-response emerges as a new issue to enhance program efficiency.

Methods: A prospective cohort study was conducted from 2019 to 2020 at two health centres in Mirriah, Niger among children aged 6-59 months with uncomplicated AM treated under the Optimising treatment for Acute MAlnutrition (OptiMA) protocol.

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Background: In Haiti, patient's adherence to treatment and compliance with medical appointments are very challenging due to different local factors. We aimed to assess the effectiveness of a reminder system implemented in health facilities in Haiti in a context of socio-political crisis.

Methods: We used appointment data from patients aged 15 years and older between January 2021 and November 2023 from four healthcare centers in the Port-au-Prince metropolitan area.

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Ovine foot rot is a highly contagious and multifactorial claw disease, caused by Dichelobacter nodosus (D. nodosus) and is the main cause of lameness in sheep. The aim of this cross-sectional study was to determine the prevalence of D.

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Background: In Haiti, reported incidence and mortality rates for COVID-19 were lower than expected. We aimed to analyze factors at communal and individual level that might lead to an underestimation of the true burden of the COVID-19 epidemic in Haiti during its first two years.

Methods: We analyzed national COVID-19 surveillance data from March 2020 to December 2021, to describe the epidemic using cluster detection, time series, and cartographic approach.

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