ABSTRACT
The need to manage the Covid-19 virus outbreak crisis on a national, regional and urban scale is more apparent these days than anything else. Despite the commonalities in some layers, such as urban infrastructure management, solutions to deal with it are defined based on issues such as scale, geographical location, physical characteristics, culture of residence and other layers of life in each city separately. In the present study, the crisis management of the corona virus (with emphasis on the role of NAJA) in the city of Hamadan has been investigated through SOWT matrix method. By calculating the final scores for internal (weaknesses and strengths) and external factors (opportunities and threats) identified, it was found that the optimal strategy for managing the Covid-19 virus crisis in the city of Hamadan is a defensive strategy. In this regard, strategies such as developing a comprehensive crisis management plan to deal with Covid-19 virus with the cooperation of experts in the field of urban management, medical staff, law enforcement, tightening oversight in the implementation of health protocols in public centers, revising the plan, the movement of the public transport fleet for reducing the number of passengers at stations and inside vehicles, etc. are presented in this research to improve the management of the Covid-19 virus crisis in Hamadan.

The aim of this study was to investigate the state of emotional fatigue and social panic caused by the outbreak of Covid-19 virus in professional athletes (case study: athletics). The research method was descriptive and the statistical population included all Iranian male and female professional athletes in the adult age group. The research instruments included two questionnaires of emotional fatigue Chen et al. (2019) and Connor et al. (2000) social fear. The validity of this questionnaire was examined and confirmed by examining the opinions of experts and the reliability of this questionnaire according to the calculation of Cronbach's alpha. The results showed that the rate of emotional fatigue caused by the prevalence of Covid-19 virus was high among the research samples (overall score = 3.41). The results also showed that the level of social panic caused by Covid-19 virus in the research samples is in a state of severe social panic (overall score = 53.2). The results also showed that there was a significant difference between the state of emotional fatigue and social panic caused by the prevalence of Covid-19 virus regarding demographiccharacteristics.

Due to simplicity, economy, and the positive effects on traffic parameters and characteristics related to personal and social health, active travel modes can play an important role in intra-city movements. However, with the outbreak of the Covid-19 virus, people's travel mode choice behavior changed. In other words, some people have changed their travel modes due to concerns about being infected with the virus, which can lead to a change in their travel modes in the long term. As one of the most vulnerable groups in the Covid-19 virus epidemic, students, with a significant share of their travels in intra-city movements, should be given more attention. Therefore, it is necessary to examine how the behavior of students' active travel choices will change as a result of the Covid-19 virus epidemic. To do this, a sample of 267 boys and 546 girls was used based on a study-based questionnaire in Qom in 1399. The results of logit models (choosing and not choosing active travel modes) by gender (girl and boy) and time position (before and after the Covid-19 virus epidemic) showed that the parameter of the goodness of fit (McFadden) for all models is greater than 0.16 and less than 0.27. In other words, the independent variables in these models can significantly show the changes in the dependent variable. The results showed that the characteristics of the student household, the parents' travel mode on work trips, and the perception of the distance between home and school affect the utility of choosing active travel modes before the Covid-19 virus epidemic. Also, the perceptual variables of the student parents towards the Covid-19 virus epidemic were significant only in the model for boys. Moreover, having a large family is the only variable with a positive effect on the choice of active travel modes and increases the probability of choosing active travel modes by up to 20%. Also, having more than two passenger cars at home has the most negative effect on the dependent variable and reduces the probability of choosing active travel methods by 31%.

The present study was designed to investigate the factors affecting the formation of hospital human capital in the field of Covid-19 virus management. The method studied in this research was an exploratory type that was performed in the field. The statistical population of the qualitative section includes academic experts and the quantitative section includes the managers of selected hospitals of Tehran University of Medical Sciences. The tools used in this study included interviews and questionnaires. The statistical method included structural equations with partial least squares method. The results of the qualitative section showed that a total of 22 sub-items were classified into 5 categories: leadership factors, job factors, information infrastructure, educational issues and supervisory aspects. The results of the quantitative section also showed that these factors played an important role in the formation of hospital human capital in the field of Covid-19 virus management. The critical nature of the Covid-19 virus has also led to the importance of human capital, various aspects in order to create the initial basis for the formation of hospital human capital in the field of Covid-19 virus management.The critical nature of the Covid-19 virus has also led to the importance of human capital, various aspects in order to create the initial basis for the formation of hospital human capital in the field of Covid-19 virus management.

From December 2019, the outbreak of coronavirus 2019 in Wuhan, China, began and quickly attracted the attention and concern of the World Health Organization. COVID-19 disease is one of the new cases of coronavirus that is closely related to SARS coronavirus and Middle East respiratory syndrome (MERS-CoV). However, the rate of human-to-human transmission of the COVID-19 virus is much faster than the previous two types of coronavirus. As a result, governments have enacted several restrictions aimed at preventing the COVID-19 virus as much as possible, most of which are aimed at self-quarantining and maintaining social distance. These conditions have had many negative consequences for people around the world, but one of the groups affected is those with eating disorders. Prolonged stay at home, lack of access to treatment, as well as anxiety and stress associated with the unknown disease Coronavirus 2019 have led to numerous psychological and physical problems for people with eating disorders. Also, as access to health care has declined during the COVID-19 virus epidemic, health officials need to pay more attention to these patients.

Molecular docking is applied to investigate interactions between 1638 approved drugs and the COVID-19 virus proteins (Spike, non-structural proteins NSP3, NSP7, NSP8, NSP9, NSP10, NSP12 (two binding sites), NSP15, NSP16, and NSP10-NSP16 complex), and the human angiotensin converting enzyme 2, ACE2 protein, and its Spike@ACE2 complex. Structures of these approved drugs are fully optimized with the universal force field (UFF) and their lowest energy conformations are used for docking on the (co)crystallized structures of the target proteins taken from the protein data bank (PDB). The docking procedure is performed in two stages and the results are evaluated based on four ranking indices or docking scores which measure comparative affinities of the studied drugs towards the COVID-19 virus proteins. Details of the positions, orientations and interactions of the first three highest-rank drugs in the binding pocket of the COVID-19 Spike, NSP7 and the human ACE2 proteins (as representatives) are visualized, analyzed and discussed. Based on the results of this molecular docking study, Vazegepant, Dasabuvir, Vitamin E, Fosamprenavir, Raltegravir, Canagliflozin, Biliverdin and Imatinib drugs can be considered promising for further molecular mechanics/dynamics simulations and then clinical studies, to accomplish the screening task.

With the observation of the first confirmed case of Covid-19 in Qom on 20 February 2020, restrictions were imposed by the government and executive agencies to prevent the spread of the Covid-19 virus in all cities of Iran. These restrictions seem to reduce the production and release of air pollutants from human resources. Therefore, this study was conducted to investigate the changes in the time series of sulfur dioxide, nitrogen dioxide, carbon monoxide, and ozone pollutants before and after the outbreak of the Covid-19 virus in three metropolises of Tehran, Isfahan, and Mashhad using Sentinel-5 satellite data. For this purpose, using the Google Earth Engine system, the concentrations of these pollutants are averaged monthly in the two periods of 20 February  2019 to 20 February 2020 for the period before the outbreak of Covid-19 and the period of 20 February 2020 to 20 February  2021 for the period of outbreak of Covid-19 Was considered. Then, to evaluate the significance of the change in the concentration of these contaminants before and after the outbreak of the Covid-19 virus, a t-test (dependent t) was used at a significance level of p-value <0.05. The results of the T-test showed that for sulfur dioxide, nitrogen dioxide, and carbon monoxide pollutants in all three cities there was no significant change in the mean data concentration; But ozone for all three cities had a decreasing trend and a significance level of p-value <0.05. The results of this study showed that the application of restrictions has not been effective in reducing the release of primary pollutants from human resources.

The Covid-19 virus pandemic has posed great challenges in all areas of education around the world, including nursing education in Iran. Today, most nursing schools around the world, including Iran, have excluded nursing students from clinical education in order to control disease and maintain health. But the need to train qualified nurses has not only not diminished, it has become more pronounced and the task of nursing schools is to resolve this contradiction and fill the gap. Due to the educational experience gained after several months of the spread of Covid- 19 virus on the one hand and the uncertainty of the end time of this crisis as well as the possibility of a pandemic or similar epidemics and changes in peoplechr(chr('39')39chr('39'))s health needs, On the other, revisions and incorporation of the teachings of the Covid -19 pandemic into the undergraduate nursing curriculum are inevitable.

The purpose of this study was to qualitative analysis of effective psychological factors on stress and fear of covid-19 virus during corona outbreak using grounded theory method (GTM). The emergence of a new form of coronavirus (2019-nCoV) in China created a confusing situation that was rapidly evolving and spread dramatically to other provinces and regions of China and then to the rest of the world. The aim of this study was to qualitatively analyze the psychological factors affecting stress and fear of Covid-19 virus during corona outbreak using grounded theory (GTM) method among students of Islamic Azad University, Electronic Branch. This research has been a qualitative research in terms of basic purpose, in terms of descriptive-survey method and in terms of data type. The study population was the students of Islamic Azad University, electronic unit and the selected sample was 30 students studying in the second semester of 2019-20 of this university unit who were selected by available sampling method. The tool used in the research was a semi-structured interview that was conducted online. Findings showed that 6 psychological factors affecting stress and fear of Covid-19 virus were identified as worry about virus infection, socio-economic consequences, fear of strangers, traumatic stress symptoms, emergency response and fear.According to the identified factors, it is predicted that when we go through this epidemic, significant mental health needs will appear in people who need measurements to provide a useful solution to improve the mental health of people.

In this paper, we proposed a numerical approach to solve a distributed order time fractional COVID 19 virus model. The fractional derivatives are shown in the Caputo-Prabhakar contains generalized Mittag-Leffler Kernel. The coronavirus 19 disease model has 8 Inger diets leading to system of 8 nonlinear ordinary differential equations in this sense, we used the midpoint quadrature method and finite different scheme for solving this problem, our approximation method reduce the distributed order time fractional COVID 19 virus equations to a system of algebraic equations. Finally, to confirm the efficiency and accuracy of this method, we presented some numerical experiments for several values of distributed order. Also, all parameters introduced in the given model are positive parameters.