Methodology for modelling the new COVID-19 pandemic spread and implementation to European countries.

After the outbreak of the new COVID-19 disease, the mitigation stage has been reached in most of the countries in the world. During this stage, a more accurate data analysis of the daily reported cases and other parameters became possible for the European countries and has been performed in this work. Based on a proposed parametrization model appropriate for implementation to an epidemic in a large population, we focused on the disease spread and we studied the obtained curves, as well as, investigating probable correlations between the country's characteristics and the parameters of the parametrization. We have also developed a methodology for coupling our model to the SIR-based models determining the basic and the effective reproductive number referring to the parameter space. The obtained results and conclusions could be useful in the case of a recurrence of this insidious disease in the future.

Assessment of association between lipoxygenase genes variants in elderly Greek population and type 2 diabetes mellitus.

BACKGROUND: Inflammation plays a pivotal role in the pathogenesis of diabetes and its complications. Arachidonic acid lipoxygenases have been intensively studied in their role in inflammation in metabolic pathways. Thus, we aimed to explore variants of lipoxygenase genes (arachidonate lipoxygenase genes) in a diabetes adult population using a case-control study design. METHODS: Study population consisted of 1285 elderly participants, 716 of whom had type 2 diabetes mellitus. The control group consisted of non-diabetes individuals with no history of diabetes history and with a glycated haemoglobin <6.5% (<48 mmol/mol)] and fasting plasma glucose levels <126 mg/dL. Blood samples were genotyped on Illumina Infinium PsychArray. Variants of ALOX5, ALOX5AP, ALOX12, ALOX15 were selected. All statistical analyses were undertaken within PLINK and SPSS packages utilising permutation analysis tests. RESULTS: Our findings showed an association of rs9669952 (odds ratio = 0.738, p = 0.013) and rs1132340 (odds ratio = 0.652, p = 0.008) in ALOX5AP and rs11239524 in ALOX5 gene with disease (odds ratio = 0.808, p = 0.038). Rs9315029 which is located near arachidonate ALOX5AP also associated with type 2 diabetes mellitus ( p = 0.025). No variant of ALOX12 and ALOX15 genes associated with disease. CONCLUSION: These results indicate a potential protective role of ALOX5AP and 5-arachidonate lipoxygenase gene in diabetes pathogenesis, indicating further the importance of the relationship between diabetes and inflammation. Larger population studies are required to replicate our findings.