ABSTRACT
The concept of "organisational justice” has gained much attention due to the effect of the pandemic caused by Covid-19. Highly invested educators work more to help their institutions succeed academically. The purpose of this research is to compare the performance of the educators before the pandemic and after the pandemic and the adoption of measures related to the pandemic. The study will give attention to the analysis concerning the idea of organisational justice. Quantitative research techniques were used for this investigation. Three hundred teachers' levels of dedication were measured over time using a well-known instrument to examine the relative shift brought on by the Covid-19 epidemic in India. Student's "t-test and ANOVA” was employed to evaluate the information derived from the survey data. The survey included respondents' gender, marital status, education level, years of work experience, and length of employment at the businesses under study. After schools began implementing efforts to combat the Covid-19 epidemic, a decline in teacher effectiveness was found, as measured by quantitative analysis. Significant findings allow the researchers to draw conclusions and provide suggestions © 2022, Journal for ReAttach Therapy and Developmental Diversities.All Rights Reserved.
ABSTRACT
In December 2019, a severe respiratory syndrome (COVID-19) caused by a new coronavirus (SARS-CoV-2) was identified in China and spread rapidly around the globe. COVID-19 was declared a pandemic by the World Health Organization (WHO) in March 2020. With eventually substantial global underestimation, more than 225 million cases were confirmed by the end of August 2021, counting more than 4.5 million deaths. COVID-19 symptoms range from mild (or no symptoms) to severe illness, with disease severity and death occurring according to a hierarchy of risks, with age and preexisting health conditions enhancing the risks of disease severity manifestation. In this paper, a mathematical model for COVID-19 transmission is proposed and analyzed. The model stratifies the studied population into two groups, older and younger. Applied to the COVID-19 outbreaks in Spain and in Italy, we find the disease-free equilibrium and the basic reproduction number for each case study. A sensitivity analysis to identify the key parameters which influence the basic reproduction number, and hence regulate the transmission dynamics of COVID-19, is also performed. Finally, the model is extended to its stochastic counterpart to encapsulate the variation or uncertainty found in the transmissibility of the disease. We observe the variability of the infectious population finding its distribution at a given time, demonstrating that for small populations, stochasticity will play an important role.