ABSTRACT
Objectives: The COVID-19 outbreak has considerably affected various aspects of our lives and different groups of society. In this regard, healthcare staff is more affected by the pressure of heavy workloads and daily exposure to suspected COVID-19 cases. This study aimed to investigate depression and anxiety as two basic factors of mental health among healthcare workers and the role of self-compassion and cognitive flexibility during the pandemic. Methods: A multi-center cross-sectional study was conducted. Healthcare workers were the target group, and the samples were collected through the online groups from healthcare staff of coronavirus hospitalized centers in Tehran. A convenience sampling method was used in this study. The general anxiety disorder-7 scale, patient health questionnaire, cognitive flexibility inventory, and self-compassion short-form scale were used online for data collection. Totally 551 respondents were entered into the analysis process of the current study. Results: A total of 437 respondents (79.3%) had mild to severe anxiety symptoms, and 447(81.1%) had mild to severe depressive symptoms. Cognitive flexibility had a significant negative relationship with anxiety and depression (r=-0.40, r=-0.37, respectively, P<0.001). Similarly, the relationship between self-compassion and anxiety and depression was significantly negative (r=-0.48, r=-0. 47, respectively, P<0.001). Discussion: This study demonstrates the positive effects of cognitive flexibility and selfcompassion on healthcare staff during COVID-19 © 2023, Iranian Rehabilitation Journal.All Rights Reserved.
ABSTRACT
Recently, the spread of the coronavirus disease 2019 (COVID-19) has increased among workers of meat processing plants (MPPs) around the world. This study reviewed the possible routes of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) transmission and useful actions against it in slaughterhouses. The results revealed that the main factors for the spread of the virus included low indoor temperature, crowded area, wrong standing along production lines, contamination of high-touch surfaces, difficult education of workers with diverse native languages, low financial income, large MPPs with over 10 million Ib of packed meat per month, higher speed of production lines with 175 birds/minute, temporary contract of the workers, and weak approach of some meat processing companies against COVID-19 infection such as National Beef. COVID-19 transmission rate was 24 times higher among the workers of MPPs than among the population of the US. The practical actions against the spread of the virus were mainly marker using for remembering the previous location, mandatory mask use, especially FFP2/3 masks, and decentralization of large MPPs. By using the results of this study, slaughterhouse managers would be able to significantly control the spread of SARS-CoV-2 and future bio-threats to workers of MPPs and even to society. © 2022 The Author(s);.
ABSTRACT
In this article, a stochastic model is introduced to describe the spread of corona-virus with considering several disease compartments related to different age groups. The pre-sented model is based on observing safety protocols, such as quarantine and mask use, by people at different ages. In order to simulate the natural randomness, some white noises are added to five main parameters of the proposed model. Moreover, the existence and uniqueness of the solution for this stochastic model are proved. Finally, some numerical results are outlined by using the famous Euler method to investigate the effect of safety protocols on the prevalence of COVID-19.
ABSTRACT
This paper is associated to investigate a stochastic SEIAQHR model for transmission of Coronavirus disease 2019 that is a recent great crisis in numerous societies. This stochastic pandemic model is established due to several safety protocols, for instance social-distancing, mask and quarantine. Three white noises are added to three of the main parameters of the system to represent the impact of randomness in the environment on the considered model. Also, the unique solvability of the presented stochastic model is proved. Moreover, a collocation approach based on the Legendre polynomials is presented to obtain the numerical solution of this system. Finally, some simulations are provided to survey the obtained results of this pandemic model and to identify the theoretical findings.
ABSTRACT
In this study, we propose a mathematical model about the spread of novel coronavirus. This model is a system of fractional order differential equations in Caputo's sense. The aim is to explain the virus transmission and to investigate the impact of quarantine on decreasing the prevalence rate of the virus in the environment. The unique solvability of the presented COVID-19 model is proved. Also, the equilibrium points and the reproduction number of the proposed model are discussed in two cases with and without considering the quarantine factor. Using the Adams-Bashforth-Moulton predictor-corrector method, some numerical simulations are implemented to survey the behavior of the considered model.