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Optimisation Of Vitamin D Status For Enhanced Immuno-Protection Against Covid-19, Daniel Mccartney, Declan G. Byrne
Optimisation Of Vitamin D Status For Enhanced Immuno-Protection Against Covid-19, Daniel Mccartney, Declan G. Byrne
Articles
Abstract
Background
Vitamin D deficiency (serum 25(OH)D<50nmol/l) is common in Ireland, particularly amongst older adults, hospital inpatients and nursing home residents. Vitamin D deficiency is associated with increased risk of acute viral respiratory infection and community acquired pneumonia, with several molecular mechanisms proposed to explain this association. Vitamin D supplementation has also been shown to reduce the risk of respiratory infection.
Vitamin D and Covid-19
Correction of vitamin D deficiency is thought to suppress CD26, a putative adhesion molecule for Covid-19 host cell invasion. Vitamin D may also attenuate interferon gamma (IFNγ) and interleukin-6 (IL-6) inflammatory responses, both potent predictors of poorer outcome in critically-ill ventilated patients including those with Covid-19.
Vitamin D Requirements
Irish adults require 25-30μg/d of vitamin D3, an intake not achievable by diet alone, to reliably maintain serum 25(OH)D levels >50nmol/l. Supplementation with doses up to 100μg/d has been shown to be safe for adults, and many agencies and expert …
Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova
Start Of Epidemy In A City: Short-Term Forecast Of Covid-19 With Gmdh-Based Algorithms And Official Medical Statistics, Anna Boldyreva, Mikhail Alexandrov, Olexiy Koshulko, Svetland Popova
Conference papers
The sudden onset and quick development of an unknown epidemic may lead to tragic consequences: panic of population due to victims and unpreparedness of authorities for effectively help to population. These circumstances define extremely high requirements to the tools for short-term operational forecast. Namely, such tools should provide reliable results when model of phenomenon is unknown (factors of disease spreading) and data are limited (time series of observations). GMDH-based algorithms just meet these requirements unlike modern differential or advanced statistical models. In this study we test different algorithms from GMDH Shell platform on the example of Covid-19 epidemic in Moscow …