ABSTRACT
In this study, in silico SARS-CoV-2 inhibitory potential of 19 marine algal polycyclic aromatic compounds plus three commercial anti-viral drug were validated comparatively against three target proteins. Among 19 marine algal compounds apigenin-7-O-neohesperidoside,dieckol, luteolin-7-rutinoside, oxoglyantrypine, hydroxypentafuhalol A, and pseudopentafuhalol B exhibited good binding affinity of toward all three screened targets (Mpro, RdRp, and spike protein) of SARS-CoV-2 shortlisted for further In silico virtual screening analysis. Complete docking interaction analysis indicates that apigenin-7-O-neohesperidoside, dieckol, luteolin-7-rutinoside compounds display very excellent binding and inhibitory potential against the all three screened targets of SAR-CoV-2 among 19 screened marine algal compounds than standard anti-viral drugs. DFT analysis affirms the essential Homo-Lumo orbital energies of apigenin-7-O-neohesperidoside to inhibit targets of SARS-CoV-2. Further in silico analysis confirmed three chosen marine algal compounds are showing their excellent pharmacokinetic and molecular electrostatic potentials (MEPs) toward targets of SARS-CoV-2. MD simulation analysis of three chosen marine algal compounds possesses best simulation trajectories toward the binding pocket of target proteins essential to inhibit SARS-CoV-2 multiplication comparatively standard anti-viral drugs possess lesser binding affinity. However, further human clinical trials are necessary to justify their clinical pertinence. © 2023 Taylor & Francis Group, LLC.
ABSTRACT
Finite-time stability analysis is a powerful tool for understanding the long-term behavior of epidemiological models and has been widely used to study the spread of infectious diseases such as COVID-19. In this paper, we present a finite-time stability analysis of a stochastic susceptible-infected-recovered (SIR) epidemic compartmental model with switching signals. The model includes a linear parameter variation (LPV) and switching system that represents the impact of external factors, such as changes in public health policies or seasonal variations, on the transmission rate of the disease. We use the Lyapunov stability theory to examine the long-term behavior of the model and determine conditions under which the disease is likely to die out or persist in the population. By taking advantage of the average dwell time method and Lyapunov functional (LF) method, and using novel inequality techniques the finite-time stability (FTS) criterion in linear matrix inequalities (LMIs) is developed. The finite-time stability of the resultant closed-loop system, with interval and linear parameter variation (LPV), is then guaranteed by state feedback controllers. By analyzing the modified SIR model with these interventions, we are able to examine the efficiency of different control measures and determine the most appropriate response to the COVID-19 pandemic and demonstrate the efficacy of the suggested strategy through simulation results.
ABSTRACT
AIMS and OBJECTIVE: In light of the ongoing COVID-19 pandemic, this study made an effort to fill a knowledge gap about the influence of screen time (ST) on adolescents' lifestyle choices in India. During the COVID-19 pandemic in Karaikal, the study's goals were to 1) assess the frequency and duration of screen use, as well as screen addiction behaviours in 5-18year old children and 2) To know the effect of screen time on physical health. MATERIALS and METHODS: The sample in this crosssectional study were 1000 children. A pre-structured questionnaire is given to children to know their screen time during covid pandemic with parents/guardian consent and guidance. Parents were asked to fill the pre-structured questionnaire . RESULT(S): A total of 1000 children were enrolled in the study. High screen time i.e., >4hrs/day seen more in 16 - 18 years followed by 11-15 years then by 5-10years.Screen time had negative impact on physical health (P < 0.0001). High screen time in 16-18 years(51.13%) are more prone to overweight/obesity followed by 11-15 years(45.53%) and then 5-10 years(35.63%) according to the study. CONCLUSION(S): This study has paved the way for need of larger study and development of guidelines on impact of screen time on children in developing nations where screen time guidelines is yet to be set more so in era of COVID 19 pandemic. Copyright © 2023 Ubiquity Press. All rights reserved.
ABSTRACT
Introduction: Acute undifferentiated febrile illness (AUFI) is caused by a multitude of diverse pathogens, with significant morbidity and mortality in the developing world. This study aims to highlight the gaps in our understanding of the various differential diagnosis of acute febrile illness and their prognostic outcomes. In this study, We used d-dimer levels to arrive at a differential diagnosis in acute febrile illness and also used it as a biomarker of disease severity and prognostic outcome. Materials and Methods: A prospective study was conducted at medicine department, Saveetha medical college and hospital, Thandalam, India for a period of 3 months from January 2020 March 2020. Patients who presented to the medicine outpatient department with symptoms of acute febrile illness with non specific symptoms were registered after getting written consent in the study. The plasma concentration of D -dimer levels ,prothrombin time , APTT from which INR were measured. The duration of hospital stay of patients in study was recorded. The data collected was entered into an excel sheet and analysed using SPCC software. Results: A total of 50 patients with acute febrile illness were enrolled in the study. Out of which 37 patients (74./. of patients) were found to have elevated D dimer levels. These 37 patients with elevated D - dimer levels required longer duration of hospital stay, reflecting the need for more days for recovery.