Investigating the Potential for Ultraviolet Light to Modulate Morbidity and Mortality From COVID-19: A Narrative Review and Update

Frontiers in Cardiovascular Medicine, Journal Year: 2020, Volume and Issue: 7

Published: Dec. 23, 2020

During the COVID-19 (coronavirus disease of 2019) pandemic, researchers have been seeking low-cost and accessible means providing protection from its harms, particularly for at-risk individuals such as those with cardiovascular disease, diabetes obesity. One possible way is via safe sun exposure, and/or dietary supplementation induced beneficial mediators (e.g., vitamin D). In this narrative review, we provide rationale updated evidence on potential benefits harms exposure ultraviolet (UV) light that may impact COVID-19. We review recent studies new any (or otherwise) UV light, mediators, D nitric oxide, their to modulate morbidity mortality by infection SARS-CoV-2 (severe acute respiratory coronavirus-2). identified substantial interest in research area, many commentaries reviews already published; however, most these focused D, less consideration exposure) or other oxide. Data collected to-date suggest ambient levels both UVA UVB be reducing severity due COVID-19, some inconsistent findings. Currently unresolved are nature associations between blood 25-hydroxyvitamin measures, more prospective data needed better consider lifestyle factors, physical activity personal levels. Another short-coming has a lack measurement influence outcomes. also discuss mechanisms which could affect mortality, focusing likely effects viral pathogenesis, immunity inflammation, cardiometabolic protective mechanisms. Finally, explore issues including impacts high dose radiation vaccination, effective doses supplementation.

Language: Английский

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The Stability of an Isolate of the SARS-CoV-2 B.1.1.7 Lineage in Aerosols Is Similar to 3 Earlier Isolates

The Journal of Infectious Diseases, Journal Year: 2021, Volume and Issue: unknown

Published: March 29, 2021

Abstract Background Our laboratory previously examined the influence of environmental conditions on stability an early isolate SARS-CoV-2 (hCoV-19/USA/WA-1/2020) in aerosols generated from culture medium or simulated saliva. However, genetic differences have emerged among lineages, and it is possible that these may affect potential for aerosol transmission. Methods The temperature, relative humidity, sunlight decay 4 isolates aerosols, including 1 belonging to recently B.1.1.7 lineage, were compared a rotating drum chamber. Aerosols respiratory tract lining fluid represent originating deep lung. Results No observed absence at either 20°C 40°C. small but statistically significant difference was between some 20% humidity. Conclusions does not vary greatly currently circulating B.1.1.7, suggesting increased transmissibility associated with recent lineages due enhanced survival environment.

Language: Английский

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Demographic and socioeconomic determinants of COVID-19 across Oman - A geospatial modelling approach

Geospatial health, Journal Year: 2021, Volume and Issue: 16(1)

Published: May 14, 2021

Local, bivariate relationships between coronavirus 2019 (COVID-19) infection rates and a set of demographic socioeconomic variables were explored at the district level in Oman. To limit multicollinearity principal component analysis was conducted, results which showed that three components together could explain 65% total variance therefore subjected to further study. Comparison generalized linear model (GLM) geographically weighted regression (GWR) indicated an improvement performance using GWR (goodness fit=93%) compared GLM fit=86%). The local coefficient determination (R2) significant influence specific factors on COVID-19, including percentages Omani non-Omani population various age levels; spatial interaction; density; number hospital beds; households; purchasing power; power per km2. No direct correlation COVID- 19 health facilities distribution or tobacco usage. This study suggests Poisson can address unobserved non-stationary relationships. Findings this promote current understanding impacting patterns COVID-19 Oman, allowing national authorities adopt more appropriate strategies cope with pandemic future also allocate effective prevention resources.

Language: Английский

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Discovering optimal strategies for mitigating COVID-19 spread using machine learning: Experience from Asia

Sustainable Cities and Society, Journal Year: 2021, Volume and Issue: 75, P. 103254 - 103254

Published: Aug. 13, 2021

Language: Английский

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Regression Analysis for COVID-19 Infections and Deaths Based on Food Access and Health Issues

Healthcare, Journal Year: 2022, Volume and Issue: 10(2), P. 324 - 324

Published: Feb. 8, 2022

COVID-19, or SARS-CoV-2, is considered as one of the greatest pandemics in our modern time. It affected people's health, education, employment, economy, tourism, and transportation systems. will take a long time to recover from these effects return lives back normal. The main objective this study investigate various factors health food access, their spatial correlation statistical association with COVID-19 spread. minor aim explore regression models on examining spread variables. To address objectives, we are studying interrelation socio-economic that would help all humans better prepare for next pandemic. One critical access distribution it could be high-risk population density places spreading virus infections. More variables, such income people density, influence pandemic In study, produced extent cases outlets by using analysis method geographic information methodology consisted clustering techniques overlaying mapping clusters infected cases. Post-mapping, analyzed clusters' proximity any variability, correlations between them, causal relationships. quantitative analyses issues areas against infections deaths were performed machine learning understand multi-variate factors. results indicate dependent variables independent Pearson R2-score = 0.44% R2 60% deaths. model an 0.60 useful show goodness fit

Language: Английский

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