Don't let corona become our only story

This chapter is about, what impact can the corona crisis have on our mental health? Besides the relational tensions that can arise from living on top of each other, many of us are also stuck in one negative story. The chapter is about the importance making room for stories that are not about corona. It discusses about work that consisting of broadening people's horizon by letting participants discover that they consist of multiple stories. This will have an enormous impact on the mental well-being of a large part of the population, which will have lots of consequences. That is why it is important to actively make room for other stories right now, in the middle of the pandemic. Memories from the past and dreams for the future. This is a responsibility one has to take towards one's own mental health (and resilience), just as we have to do for others. Sharing other stories and making sure people don't get stuck in that one difficult story is just as much part of caring about each other and will help us get through this crisis healthier. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

A Dynamic-Static Dual Input Deep Neural Network Algorithm for Diagnosing COVID-19 by Cough

The COVID-19 (corona virus disease 2019) has caused serious impacts worldwide. Many scholars have done a lot of research on the prevention and control of the epidemic. The diagnosis of COVID-19 by cough is non-contact, low-cost, and easy-access, however, such research is still relatively scarce in China. Mel frequency cepstral coefficients (MFCC) feature can only represent the static sound feature, while the first-order differential MFCC feature can also reflect the dynamic feature of sound. In order to better prevent and treat COVID-19, the paper proposes a dynamic-static dual input deep neural network algorithm for diagnosing COVID-19 by cough. Based on Coswara dataset, cough audio is clipped, MFCC and first-order differential MFCC features are extracted, and a dynamic and static feature dual-input neural network model is trained. The model adopts a statistic pooling layer so that different length of MFCC features can be input. The experiment results show the proposed algorithm can significantly improve the recognition accuracy, recall rate, specificity, and F1-score compared with the existing models. © 2023 Chinese Institute of Electronics. All rights reserved.

Effect of Distant Education on Children's Academic Achievement in Primary Schools During Corona Pandemic in Dubai Emirate- Field Study

This study aimed to examine the effect of distance education on the level of educational achievement of children during the Corona period in ten primary schools in the Emirate of Dubai. To achieve the objectives of the study the researchers adopted the descriptive analytical approach. The quantitative method of data collection had been applied using the electronic questionnaire tool consisted of four main axes for data collection and had been distributed to the study sample consisted of 190 students' parents and administrators selected by using simple random techniques. The results of the study indicated that the participation of students in the educational process, and in the establishment of appropriate educational programs and applications for the transmission to distance learning have contributed to reducing the negative effects of the process of shifting from traditional education / face-to-face education classroom teaching to virtual classroom (ZOOM).The study recommended the need for strengthening distance education mechanisms, which contribute in developing the student's interests, tendencies, attitudes, concentrating on the study material, and using of safe and secured electronic devices to increase the search for additional information to reach the correct knowledge. Also, the school administration should have good e-learning plan ahead with required financial credits that will help in overcoming the crisis and mange distance learning processes to reach future objectives successfully. © 2022 Owner/Author.

Covid-19, communalism, and Islamophobia: India facing the disease

As threats to human security, epidemics cause fear and anxiety, thus generating conspiracy theories, fake news, and discrimination. In 2020, the most widespread xenophobic reaction to the Covid-19 pandemic was Sinophobia. In comparison, India's response to the pandemic was both conventional and exceptional. Like other countries, India recorded a surge in Sinophobia;but –remarkably– in Islamophobia too. Turning to both history and theory, this paper investigates how Coronavirus got transformed into a ‘Muslim disease' and connected to narratives of holy war and Islamization (‘Corona Jihad'). We contextualize the 2020 Covid-related Islamophobic wave within a longer process of demonization of the Muslim that is catalysed by the beliefs and policies of Hindu nationalism. In light of Muslims' continuing relegation to the fringe of the Indian body-politic, we propose an interpretation of the 2020 disease-induced Islamophobia as scapegoating, based on René Girard's mimetic theory. In conclusion, the case of Covid-19 in India confirms that in divided societies collective threats like epidemics are likely to exacerbate already existing forms of discrimination rooted in the society's mainstream memory and norms, and highlights the role of beliefs in mediating between threat and violence. This case study also highlights the deep penetration of communal discourse in India's everydayness and its far-reaching implications. [ FROM AUTHOR] Copyright of Social Identities is the property of Routledge and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)

The Impact of Cloud Computing on the Development of Accounting Education in Light of the Corona Pandemic

The study aims to evaluate the impact of the experience of using cloud computing on the development of accounting education in the Gulf Cooperation Council countries in light of the Corona pandemic. To achieve this goal, the researchers relied on reviewing previous literature and conducting interviews with a number of accounting professors and students in universities in the Gulf Cooperation Council countries in order to develop a proposed framework for developing accounting education programs using both traditional education and cloud-based education. During the Corona pandemic, educational institutions in the Gulf Cooperation Council countries relied on the interactive learning management system such as Microsoft Teams, Zoom, and Modal. to support the e-learning process, because these systems enable them to interact with their students and meet their needs, which made studying easier. These systems help Students acquire the skill of self-learning, organizing and managing time. In addition, improving the efficiency of the lecturer in managing his time, due to the decrease in the weekly time needed for lecture and preparation, and helping to social distance between students and the lecturer. On the other hand, students suffered from not accepting e-learning due to the difficulty of understanding lectures, and the lack of skills and experience of some professors and students in the field of e-learning due to the familiarity with traditional education. In addition, the professors suffered from the difficulty of evaluating students under this system. Through personal interviews with a number of accounting professors and students in universities in the Gulf Cooperation Council countries, the researchers found that the previous obstacles were at a great level at the beginning of the application of e-learning through cloud computing applications, but the level of these obstacles has decreased over time as professors and students gradually acquired teaching skills at the same time, many technical problems were solved. Despite some advantages achieved through the transition to accounting education based on cloud computing, the Gulf Cooperation Council countries decided to return completely to traditional education. Therefore, the GCC countries should draw on the advantages that have been achieved from e-learning with a return to traditional education and study the possibility of adopting hybrid accounting education. Therefore, the researchers tried to propose a framework for the development of hybrid accounting education programs, based on several basic components that represent the elements of the educational process represented in the material and technological capabilities, the preparation and preparation of human elements (professor, student, technicians and administrators) and the teaching process (commitment to international accounting education standards, the development of accounting curricula and educational aids, And the use of different teaching styles, and the development of methods of evaluating students). © The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

The impact of COVID-19 pandemic on medical students: A cross-sectional study

Background: The coronavirus disease (COVID-19) pandemic has affected the medical education throughout the world. A study was done to assess the effect of education and psychological behavior on medical students. Aims and Objectives: The objective of the study is to evaluate the effect of COVID-19 on medical graduates in various aspects such as education, effect on clinical rotations, impact on the technology used for online classes, effect on quality of life, loneliness, sleep, and depressive symptoms. Material(s) and Method(s): A set of questions were distributed to Government Medical college, Suryapet students during November 2021-January 2022. Questionnaire aimed to study students' viewpoint of COVID-19's impact on their education, mental health, and willingness to participate clinically. Result(s): One hundred medical students from Government Medical College, Suryapet participated in this study. Most students (88%) agreed that pandemic had disrupted their medical education. About 64% agreed to attend clinical rotations and 68% of students accepting the risk of contracting COVID-19 in clinical rotations. COVID-19 had an impact on technology tools used for medical education. Students reported that COVID-19 had moderate impact on quality of life, sleep quality, anxiety, and depressive symptoms. Conclusion(s): The COVID-19 had an overall significant negative impact on undergraduate medical education. It is recommended that measures need to be taken to relieve students' stress.Copyright © 2023, Mr Bhawani Singh. All rights reserved.

Does vitamin D protect against COVID-19? A narrative review

The pleiotropic effects of Vitamin D (or rather its active metabolite calcitriol) on the immune system and the lung suggest a preventive and therapeutic role for the COVID-19 disease. Epidemiologic studies demonstrate an association between vitamin D deficiency and the incidence of COVID-19 and the severity of the illness. However, reverse causality and other underlying causes (age, obesity) might be responsible for the association.Controlled prospective studies using vitamin D for the prevention of COVID-19 and for the treatment of infected patients demonstrated favourable effects for vitamin D with clinical relevance. However, this could not be confirmed by all studies. Open questions remain: which population groups should be supplemented and what is the optimal dosing regimen for vitamin D?

Compulsory Vaccination of Government Employees in the Light of Domestic and International Law

COVID-19 disease has shocked the lives of developed and developing societies and has affected various aspects of individual and social life of citizens by creating devastating and irreparable effects. While everyone was counting down the hours to get treatment for the disease, the unveiling of emergency-licensed vaccines sparked a variety of social and legal issues. In Iran, according to the decision of the National Corona Management Headquarters, government employees along with some other groups of people were obliged to be vaccinated, and absenteeism was the punishment of deniers. Consequently, legal validity of these enactments has also been discussed by scholars. Clarifying the position of domestic law and international human rights regarding mandatory vaccination can have an effect on persuading citizens and whether or not to do vaccination. Central issue of the following research is the evaluation of compulsory vaccination according to the provisions of Iranian law and the rules of international human rights. Based on the library resources and in a descriptive-analytical method, it was concluded that according to the laws and regulations of Iran, the obligation to vaccinate and in particular the provision of punishment is within the competence of the Parliament and according to the Charter of Patients' Rights, they were required to provide information about the vaccine and its effects, and to monitor the health status of individuals during and after the injection. In international law, it is also possible to make specific treatments mandatory, such as vaccinations under the right to health, in order to guarantee the right to life in the event of an epidemic. In addition, although this requirement conflicts with citizens' right to privacy, international law provides for restrictions on individual rights to ensure public health, subject to conditions such as appropriateness and necessity. © 2022 Iran University of Medical Sciences. All rights reserved.

Impact of comorbidities on the average length of stay and mortality of COVID-19 patients in a hospital: In India

ObjectiveTo estimate the length of stay and proportional mortality in COVID patients in a COVID-dedicated hospital.MethodsA retrospective record review was done using medical records of COVID-19 in-patients, capturing the demographic, clinical, and laboratory details of admitted COVID patients, including serial samples for RTPCR/CBNAAT for Coronavirus. These details from electronic medical records were compared and collated for patients of different comorbidities to arrive at the average length of stay and case fatality rate and time duration for patients to turn COVID-negative.ResultsPatients with Diabetes Mellitus (DM) had the highest Average Length of Stay (ALS) of 12.09 days in the hospital followed by patients with Hypertension (11.5 days). Patients without any comorbidities had ALS of 8.8 days. A combination of HTN, DM, coronary artery disease (CAD), and chronic kidney disease (CKD) had the highest ALS of 14.5 days. The average duration for patients to test negative is 16 days for patients without any comorbidities. The average duration between the first symptom and the negative test is the longest for DM (21 days) followed by HTN (19.5 days), cancer (19 days), and obesity (16 days). Among the 731 people who died in the observed time, the proportional mortality rate was highest with HTN (10.80%) followed by carcinoma (7.66%) and DM (6.56%), 32.55% had a combination of two or more comorbidities. 33.70% deceased didn't have any comorbidities.ConclusionThe COVID-19 pandemic has highlighted the importance of preparing for future outbreaks and sudden increases in cases. Based on our findings, we recommend Hospital administrators have a comprehensive approach to planning for the future, considering all relevant factors, including the epidemiology of the disease, the average length of stay, and mortality rates, to ensure that their hospitals are equipped to provide high-quality care to all patients.

Adverse events following immunization associated with the ChAdOx1nCoV-19 and BBV152 vaccine-a cross-sectional study

COVID-19, an infectious disease, has become a leading cause of death in many people. The rapid emergence of the pandemic prompted the development of a vaccine to mitigate the disease's harmful consequences. Vaccination is the only effective way to prevent infection from spreading and build immunity to the virus. However, developing adverse effects has become a major problem for vaccine reluctance. Accordingly, the interest has been shifted towards identifying the adverse effects developed following immunization. The current study objective is to assess and compare the intensity of adverse effects following 1st and 2nd dose of COVID-19 vaccination and the medication administered to relieve the symptoms associated with vaccination. A cross-sectional study was performed in a community over six months. A total of 836 participants were involved in the study. All the data regarding the vaccination were collected through a specially designed questionnaire form and analyzed in all the participants within the study group. According to the study, at least 1 AEFI was developed in about 90% of the study population. The most common systemic and local effect developed in the study population was fever (59.42%) and pain at the injection site (69.82%), respectively. With both vaccines (ChAdOx1 nCoV-19 and BBV152), the incidence and severity of AEFIs were lower after the second dose than after the first dose, and most of the symptoms associated with vaccination were alleviated by taking home remedies and symptomatic treatment. The adverse effects reported after receiving the ChAdOx1 nCoV-19 and BBV152 vaccines are typical of most vaccines, and the majority of them were tolerated, and most subsided in less than 24 hours.

Zukunftserwartungen der Österreicher*innen während der Coronakrise

ZusammenfassungWas kommt nach der Coronakrise? Die Forschungsnotiz befasst sich mit den Zukunftserwartungen der Österreicher*innen während der ersten Phase der Coronapandemie. Die Daten des Austrian Corona Panel Project zeigen, dass die Zukunftserwartung für Österreich und die Erwartungen an die eigene Zukunft stark divergieren. Während mehr als 60 % Prozent der Befragten glauben, dass sich die Situation in Österreich verschlechtern wird, gehen nur 26 % von einer Verschlechterung ihrer eigenen Lebensumstände in den nächsten Jahren aus.Anhand von Einschätzungen der Befragten zu den drei von Anhut und Heitmeyer postulierten Krisenzuständen – Struktur, Regulation, Kohäsion – lässt sich veranschaulichen, dass Vertrauen in die gesellschaftlichen Institutionen ein wesentlicher Indikator dafür ist, wie optimistisch oder pessimistisch die Menschen in Österreich ihre eigene und die gesellschaftliche Zukunft beurteilen. Darüber hinaus ist es die Wahrnehmung bestehender materieller Ungleichheiten, welche sowohl die Einschätzung der Entwicklung der persönlichen, aber auch der Lebensumstände in Österreich bestimmt. Zudem sind diejenigen, die der Politik und dem öffentlichen Leben Relevanz zusprechen, pessimistischer, wenn es um die Zukunft des Landes geht.Alternate :What will come after the Corona crisis? The research note discusses the Austrians' expectations for the future during the first phase of the Corona pandemic. Data from the Austrian Corona Panel Project illustrates that there is an inherent difference between the future expectations for Austria and the expectations for the individual future. While more than 60% believe that the situation in Austria will get worse within the next years, only 26% think so when it comes to their own future.

Changed Perceptions of Public Space through the Construction of Outdoor Bar Areas in the Course of the Conversion of Urban Areas during the Corona Pandemic, using the Example of Munich

This article deals with the change in the perception of public spaces due to the Corona pandemic. The focus is on the conversion of urban spaces through the construction of outdoor bar areas, a current and so far neglected issue from a scientific perspective. Against the background of the conceptual embedding of the concepts of public space and curb side dining areas (or synonymously: "Schanigärten”), the dealing with the latter in the study area of Munich is explained. In the context of the current situation in Munich, the influence of curb side dining areas on the perception of public space is first analysed by means of an explorative survey. The result of a conjoint analysis shows, among other things, a positive correlation between the presence of curb side dining areas and the perception of respective computer-simulated street scenes (with all possible combinations of the presence or absence of curb side dining areas, trees and parking spaces). In addition, a regression analysis is used to analyse the extent to which individual socio-demographic aspects (e.g., age, gender) and aspects of attitude (e.g., toward the conversion of urban parking lots) and behaviour (car use) influence perception. In a further step, specific street scenes are assessed using recent photographs from Munich in order to measure different aspects of perception as well. The evaluation of a semantic differential shows that street sections with "Schanigärten” are consistently perceived more positively (e.g. more interesting, safer, more inviting) than those without. Finally, and in the light of the Corona pandemic, the development of the "Schanigärten” in Munich is explained from an expert's perspective, before the article concludes with a summary and an outlook. © 2022 Austrian Geographical Society. All rights reserved.

A Hybrid Grey Wolf-Whale Optimization Algorithm for Classification of Corona Virus Genome Sequences using Deep Learning

Genome sequence data is widely accepted as complex data and is still growing in an exponential rate. Classification of genome sequences plays a crucial role as it finds its applications in the area of biology, medical and forensics etc. For classification, Genome sequences can be represented in terms of features. More number of less significant features leads to lower accuracy in classification task. Feature selection addresses this issue by selecting the most important features which aids to improve the accuracy and lessens the computational complexity. In this research, Hybrid Grey Wolf-Whale Optimization Algorithm (HGWWOA) is proposed for Genome sequence classification. The proposed algorithm is evaluated using 23 benchmark objective functions along with Convolutional Neural Network classifier and its efficiency is verified using a novel metric namely "Feature Reduction Rate”. The proposed optimization algorithm can be applied for any optimization problems. In this research work, the proposed algorithm is used for classification of Corona Virus genome sequences. Performance comparison of the proposed and existing algorithms was carried out and it is evident that the performance of proposed algorithm exceeds the previous algorithms with an accuracy of 98.2%. © 2023, Zarka Private University. All rights reserved.

A Study on Optimal Control of a COVID-19 Transmission Model with the Significance of Early Screening and Testing Measures

In this paper, we present a deterministic SEQIR mathematical model that describes the transmission dynamics of COVID-19 that also in-cludes testing procedures in the quarantine stage. The reproduction number R0 is derived with some properties of the model. The stabil-ity of equilibrium points is analyzed. An objective function is pro-posed and optimal control strategies are derived using Pontryagin's Maximum Principle. The existence and uniqueness of an optimal-ity system are demonstrated. Numerical simulations are presented in different scenarios with the control interventions early screening, prevention measures of COVID-19, and following a healthy lifestyle. The main objective of the paper is to eradicate the disease in exposed stage. The chosen control variables helps us to reduce the exposed population. (c) 2023 L&H Scientific Publishing, LLC. All rights reserved.

Prediction of Corona Virus Disease Outcome and Future Forecast the Trend of COVID-19 in India: Observational Study

This work is motivated by the disease caused by the novel corona virus Covid-19, rapid spread in India. An encyclopaedic search from India and worldwide social networking sites was performed between 1 March 2020 and 20 Jun 2020. Nowadays social network platform plays a vital role to track spreading behaviour of many diseases earlier then government agencies. Here we introduced the approach to predict and future forecast the disease outcome spread through corona virus in society to give earlier warning to save from life threats. We compiled daily data of Covid-19 incidence from all state regions in India. Five states (Maharashtra, Delhi, Gujarat, Rajasthan and Madhya-Pradesh) with higher incidence and other states considered for time series analysis to construct a predictive model based on daily incidence training data. In this study we have applied the predictive model building approaches like k-nearest neighbour technique, Random-Forest technique and stochastic gradient boosting technique in COVID-19 dataset and the simulated outcome compared with the observed outcome to validate model and measure the performance of model by accuracy (ACC) and Kappa measures. Further forecast the future trends in number of cases of corona virus deceased patients using the Holt Winters Method. Time series analysis is effective tool for predict the outcome of corona virus disease. © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2022.

What really matters? A phenomenological exploration of two YouTube dialogues on living through corona times

On 23 March 2020, in response to the growing threat of Covid-19, world leaders including UK Prime Minister Boris Johnson told their countries that people must stay at home and avoid all unnecessary social contacts, including contact with family members, friends and romantic partners living elsewhere. As existential psychologists living in the UK, it is decided to engage in an online dialogue about the experiences of living in, and working therapeutically through, 'corona times'. This chapter explores and elaborates upon several of the key existential themes and concerns discussed in the two dialogues. The first dialogue took place a mere two weeks after UK lockdown had begun and was subsequently uploaded onto YouTube on 6 April 2020 where it can still be viewed. Just over a year later, following the realisation that many of the feelings and experiences had changed considerably, it is decided to engage in a second dialogue, which was primarily focused on the longer-term psychological and existential impact of this strange period in human history. Once again, the dialogue was uploaded onto YouTube on 30 April 2021. (PsycInfo Database Record (c) 2023 APA, all rights reserved)

Research progress on the regulation of endothelial cells by natural products of traditional Chinese medicine in the prevention and treatment of atherosclerosis

[] Atherosclerosis (As) is the pathological basis of coronary heart disease, and vascular endothelial injury is the initiating factor of coronary atherosclerosis. Vascular endothelial cells are a single layer of cells located in the inner layer of blood vessels and regulates exchanges between the blood stream and the surrounding tissues, and their integrity is very important. Many active monomers and the derivatives in natural products of traditional Chinese medicine modulate the function of endothelial cells by intervening oxidative stress, regulating the release of vasoactive substances, reducing inflammation, and equilibrating coagulation and anticoagulant system. They have the advantages of multi-pathway, multi-link and multi-target regulation in protecting from endothelial injury and attenuating atherogenesis. They have also been used to protect against corona virus disease 2019 (COVID-19) induced endothelial injury and atheroslerosis. This article reviews the research progress of the above issues in this field. © 2023, Editorial Office of Chinese Journal of Arteriosclerosis. All rights reserved.

Potential targets and traditional Chinese medicine treatment strategy of cough after SARS-CoV-2 infection.

The severe acute respiratory syndrome corona virus 2 (SARS-CoV-2) Omicron variants BA.5.2 and BF.7 have become the main epidemic strains in China since the quarantine policy was lifted in 7th December 2022. Cough is one of the main symptoms induced by SARS-CoV-2 infection. SARS-CoV-2 infection-associated cough injuries the lung and upper respiratory tract, while the infected people cough out virus and liquid which forms virus-containing aerosols, a medium for quickly spreading. Furthermore, cough is one of primary sequelae of discharged patients in corona virus disease 2019 (COVID-19). By now, there are no efficacious drugs for treatment of upper respiratory tract infection associated cough induced by omicron. Traditional Chinese medicine (TCM) has a long history on treating cough. By reviewing the mechanisms of the occurrence of cough after SARS-CoV-2 infection, potential therapeutic targets and cough suppressant herbs with significant efficacy in clinical and basic research, we provide a reference for the treatment of cough after SARS-Cov-2 infection and a basis for the majority of infected patients to select appropriate herbs for cough relief under guidance of physicians.Copyright © 2023 Editorial Office of Chinese Traditional and Herbal Drugs. All rights reserved.

Biosynthesis of silver-based nanoparticles on polypropylene non-woven material for efficient antimicrobial activity

The outbreak of the COVID 19 pandemic confirmed the importance of personal protective equipment including the respiratory face masks as barriers to pathogens. Taking into account that face masks are mainly composed of polypropylene (PP) non-woven materials this study explores the possibility of in situ biosynthesis of silver-based nanoparticles as an antimicrobial agent on PP material. A pomegranate peel extract was used as a "green" agent for synthesis and stabilization of nanoparticles. Hydrophobicity of PP fibers was overcome by modification with corona discharge at atmospheric pressure. In order to improve the binding of silver ions, corona modified PP material was impregnated with biopolymer chitosan in the presence of crosslinker 1,2,3,4-butanetetracarboxylic acid. SEM analysis revealed the presence of spherical Ag-based nanoparticles on the fiber surface with an average size of approximately 69 nm. The higher the concentration of the precursor salt, the higher the silver content after the reduction. Larger amounts of Ag-based nanoparticles provided stronger antimicrobial activity against bacteria Escherichia coli and Staphylococcus aureus, and yeast Candida albicans.

The relationship between corona anxiety and daily memory in the elderly: The mediating role of anxiety sensitivity

The decrease of memory abilities is one of the main problems in the elderly exacerbated by psychological factors such as anxiety. Therefore, the present study was to investigate the relationship between Corona anxiety and daily memory in the elderly through the mediating role of anxiety sensitivity. This was a descriptive-correlational research of path analysis kind. The statistical population of the study included all the education retirees over 60 years old living in Shiraz, Iran, 250 of whom were selected using convenience sampling. In this study, Alipour's Corona anxiety, Sunderland's daily memory and Floyd's anxiety sensitivity questionnaires were filled out online by the participants. Data were analyzed using SPSS-26 software and Lisrel-8.32. The results of path analysis demonstrated that there is a negative direct relationship between Corona anxiety and daily memory, a positive direct relationship between Corona anxiety and anxiety sensitivity, and a negative direct relationship between anxiety sensitivity and daily memory. Corona anxiety also had an indirect and significant relationship with daily memory through the mediating role of anxiety sensitivity. According to the results, anxiety caused by the outbreak of Corona disease can affect memory function in the elderly. Hence, in addition to physical health, providing mental health of the elderly seems to be crucial as well in pandemic conditions. (PsycInfo Database Record (c) 2023 APA, all rights reserved)