A Mini Review of Newly Identified Omicron Sublineages
Published on: 18th December, 2023
The ongoing COVID-19 pandemic has seen the evolution of the SARS-CoV-2 virus, resulting in the emergence of various concerning variants with unique biological characteristics. As the pandemic continues, it will be crucial to promptly evaluate the potential of any new variant to cause severe illness. The severity of the latest Omicron sublineages, including BA.5, XBB, BQ.1.18, BA.2, BA.2.75, and EG.5.1, is currently under assessment. This system provides valuable and essential information for rapidly assessing the threat posed by new versions of the virus.
Towards A 21st Century Systematize the Ideas; COVID-19, Sustainability and Discourse of SDG, (Sustainable Development Goals), The Cities and Housing Models
Published on: 12th February, 2024
The research creates a theoretical basis for examining the metamorphic changes and transformations in urban and housing planning with the interaction created by the latest epidemic in the world, which is moving towards a period related to climate problems. The first quarter of the 21st century witnessed an unexpected event: Humanity found itself in the middle of a pandemic considered temporary, it would be permanent and change the world dramatically. The post-COVID-19 period has led to significant and permanent changes in our lives, from urban planning to housing typologies. The study aims to understand the changing dynamics in the post-pandemic period that converges on the same goal with SDG, (Sustainable Development Goals), as continuity by updated dialogues, and discourses on literature. This research focuses on the SDG, (Sustainable Development Goals), and the post-pandemic period, analysis of two phenomena separated, analogous paradigms or intertwined. The findings of the public perception are there is a distinction between sustainability and pandemics considered dissimilar processes, they contain similarities. Contrary to common ideas, the pandemic was a catalyst for sustainability, and these two concepts contain analogous ideas and principles. In conclusion, it is revealed that they both concentrated on similar ideas; SDG, (Sustainable Development Goals) is “health”, and pandemic is the “healthy city” concept like; clean air, zero carbon, living healthy and safely in airy and green areas, etc.
Statistical Mathematical Analysis of COVID-19 at World Level
Published on: 5th April, 2024
Worldwide, statistical data of people infected by COVID-19 has been taken until March 29, 2023, which, when correlated, showed a predictive logistic model. The purpose was to determine the predictive model, which was acceptable, in such a way that the proportionality constant and the correlation and determination coefficients are of great importance to estimating epidemiological and pandemic data; coinciding with what was reported by other authors. Bearing in mind that a mathematical model is a mathematical description through a function or equation of a phenomenon in the real world; whose purpose is to understand infections and make predictions for the future. The stages were: to model the number of people infected as a function of time, formulate, and choose the logistic model, determine the model and obtain mathematical conclusions, and make predictions (estimates) about the number of people infected by COVID-19 worldwide. The logistic model was derived to predict the speed of people infected by COVID-19 and the critical time (tc = 733 days) for which the speed was maximum (1694,7209 infected/day). The Pearson correlation coefficient for the time elapsed (t) and the number of people infected (N) worldwide, based on 32 cases, was r = -0.88; the relationship between time and those infected is real, there is a “very strong correlation” between the time elapsed (t) and the number of people infected (N) and 77.03% of the variance in N is explained by t.
COVID-19 Pneumonia in Pregnancy: A Retrospective Study on Maternal and Neonatal Outcomes
Published on: 8th April, 2024
Objective: To identify risk factors among pregnant with COVID-19 for adverse outcomes related to disease severity, maternal mortality, and morbidity.Materials and methods: In this retrospective study, 45 pregnant patients with COVID-19 pneumonia were confirmed by RT-PCR. The inclusion criteria were pregnant patients diagnosed with COVID-19 confirmed by RT-PCR and hospitalized in the gynecology-obstetrics and intensive care unit. Exclusion criteria were non-pregnant patients and pneumonia cases with unconfirmed COVID-19 causes. The study used SPSS software to analyze the data. Results: Our study recorded 45 cases of SARS-CoV-2 infection in pregnant women over 2.5 years. The age group most affected was 20-35 years, with 75% of cases. 57% of patients had no known comorbidities. 88.8% of patients were symptomatic at diagnosis. Almost 30% of patients required admission to the ICU, with 60% requiring oxygen supplementation. The study recorded 36 live births (80%), of which 26 cases (72.2%) required no further care and had a favorable outcome.Conclusion: Pregnant women with medical conditions are at higher risk of severe COVID-19, which can cause respiratory distress syndrome and impact delivery and neonatal outcomes. Preventive measures are important.
Alcohol and Substance Abuse in the General Population during the COVID-19 Pandemic: Results of the COMET-G International Study
Published on: 15th April, 2024
The global impact of the COVID-19 pandemic on mental health and substance use behaviors has sparked extensive research efforts. The COMET-G international study, organized by the Department of Medicine and the Rectorate of the Aristotle University of Thessaloniki in collaboration with the World Psychiatric Association, delved into these issues. Running from March 2020 to April 2021, the study collected responses from 55,589 individuals across 40 countries. Through a comprehensive questionnaire, participants provided insights into their mental state, attitudes toward the pandemic, and the resultant changes in their personal and daily lives. Findings revealed, among other things, significant patterns of change in substance use, with notable correlations between reduced usage and the severity of lockdown measures among non-binary individuals. Mental health history emerged as a strong predictor of substance use changes, with influences from anxiety disorders, depression, and self-harm. Additionally, family and social dynamics, including economic expectations and household composition, significantly shaped substance use behaviors during lockdowns. Given these findings, the development of comprehensive approaches targeting the adverse effects of the pandemic on individual behaviors and general welfare is crucial.
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