COVID-19 Coronavirus Research Articles

Nurses' experiences of critical care in the COVID-19 Intensive nursing unit

Background: The intensive care unit is one of the essential and vital departments of hospitals that accommodate patients in critical condition. Intensive care nurses play an important role in the evaluation, treatment, and management of these patients. The outbreak of the COVID-19 (Coronavirus disease ) pandemic, followed by severe respiratory involvement, highlighted the importance of nurses' performance in the intensive care unit. The aim of this study was to explain the nurses' experiences of nursing care in the COVID-19 intensive care unit.Methods: This study was qualitative content analysis. Participants were 12 nurses who were selected based on purposive sampling. Data collected by semi and unstructured interview. Data analysis was performed based on Graneheim and Lundman (2004) at three-phase. Research trustworthiness was confirmed by four criteria of credibility, transferability, dependability, and conformability.Results: In this study, a total of 1311 meaning units were extracted; after condensation and abstraction, 257 codes were obtained, which were extracted into 32 primary subcategories, eight secondary subcategories, and two themes. The first theme was nursing care inhibitors in the COVID-19 (Coronavirus disease) Intensive Care Unit included five categories: "Problems with personal protective equipment, lack of care supplies, Insufficient preparation of intensive care nurses, burnout of nurses, and care burden." The second theme was the strengths of nursing care in the intensive care unit in the COVID-19 included three categories: "Acquiring new knowledge and experience of intensive care, upgrading and developing the intensive care system and improving the image of nursing in the community."Conclusion: The COVID-19 pandemic was associated with challenges and problems for nursing and nursing care, the identification of which can help prepare for future crises. Also, due to its positive achievements for nursing, it can be used to improve the position of nursing and its care.

Social Work Student Experiences of Completing Internships in Canada During COVID-19: Application of a Remote Learning Plan

ABSTRACT On March 11, 2020, the World Health Organization declared a global pandemic as a result of the spread of the COVID-19 coronavirus, a severe acute respiratory syndrome. Public health authorities throughout Canada were emphasizing early detection, physical distancing, hand washing, sheltering in place through household and self-isolation, and the closing of schools and businesses. For universities it meant the cancelation of classes and an immediate move to virtual or online learning to finish semesters, some of which were within weeks of completion, others that were just beginning. For the School of Social Work at King’s University College, London, Ontario, Canada, the restrictions and limitations imposed by the pandemic had far reaching implications that went beyond a disruption in classroom instruction and also meant terminating or suspending field practicums. Rather than having student learning succumb to the virus, the School of Social Work instituted a creative solution that involved the students developing Remote Learning Plans with the support of their Field Instructors and Faculty Consultants who would serve to minimize the disruption to the students’ learning. This study explores the student experience in moving to remote learning plans – specifically what challenges, changes, and opportunities for growth it provided.

Assessment of psychological and physical stressors among nurses in different functional areas before and during the COVID-19 pandemic: a cross-sectional study

BackgroundThe COVID-19 (coronavirus disease) pandemic placed a great burden on all health-care resources, especially nurses. The prevalence and underlying risk factors of affective symptoms related to the COVID-19 pandemic have been studied primarily among nurses in intensive care units (ICU) and emergency departments. The aim of this study was to identify at-risk nursing areas by examining the psychological and physical stress values of nurses in different functional areas.MethodsA questionnaire with standardized items was developed to assess psychological and physical stress values. At least 50 nurses with a minimum work experience of 3 years were recruited from the ward, outpatient clinic (OC), intermediate care (IMC) unit, and operating room (OR) of the University Hospital RWTH Aachen. The participants answered the questionnaire by referring to their perceptions before and during the COVID-19 pandemic. Absolute differences and relative trends in psychological and physical stress values were compared within and across functional areas.ResultsThe ward and OR nurses experienced significant increases in workload (p < 0.001 and p = 0.004, respectively) and time stressors (p < 0.001 and p = 0.043, respectively) during the COVID-19 pandemic. Regardless of functional area, the nurses showed strong tendencies toward increases in subclinical affective symptoms. After adjustments for age, sex, working in a shift system, the treatment of patients with COVID-19, and the impact of the COVID-19 pandemic on personal life, the values for working with pleasure decreased significantly among the ward (p = 0.001) and OR nurses (p = 0.009) compared with the OC nurses. In addition, the ward (p < 0.001) and OR nurses (p = 0.024) were significantly more likely to express intent to leave their profession than OC nurses.ConclusionsThe IMC nurses showed good adaptation to the exacerbated situation caused by the COVID-19 pandemic. The ward nurses, followed by the OR nurses, were the most vulnerable to mental and physical exhaustion, which threatened the nurses’ resilience and retention in the wake of the COVID-19 pandemic. Therefore, intervention programs must specifically address the professional and emotional needs of ward and OR nurses to prepare the health-care system for future crises.

System Analysis and Mathematical Modeling of Infection Safety Human Caused by COVID-19 Coronavirus Strains

The purpose of research is to develop models characterizing the "Cell–Virus–Habitat" system. Methods. The ability of coronaviruses to exit the cell without its apoptosis is an important factor providing the possibility of moderate infection. A description of the complete 2019-nCoV gene can be found in the GenBank Virus Genome bank: MN908947.3. Currently, information about the epidemiology, clinical features, prevention and treatment of this disease is being studied by scientists all over the world. Theoretical approaches in the study were based on the theory of virology, system analysis, differential integral calculus and probability theory. The materials were immunogram indicators for the period 2020-2021. According to studies of the effect of coronavirus infection on residents of the Perm Region. Data on the activity of the coronavirus and the number of sick residents were taken from open sources. Data on the number of residents living in the Perm Region were taken from the population census. The structure of the SARS-CoV-2 genome is reflected in the GenBank data-base: MN908947.3. The SARS-CoV-2 mutation tracker was studied by the repository: https://users.math.msu.edu/users/weig/SARS-CoV-2 Mutation Tracker.html . Results: the "Cell–Virus–Habitat" model was developed and investigated; a system of differential empirical equations characterizing changes in immunogram parameters among underage and child-aged residents of the Perm Region was constructed and investigated; a system of Kolmogorov equations describing the dynamics of the pandemic in the Perm Region was constructed and investigated. Conclusion. One of the consequences of a new coronavirus infection may be a change in the immune system of the human population. A detailed analysis of the immunological status of various racial groups, different ages and gender characteristics under the influence of a new coronavirus infection is currently poorly understood.

Perception of distance learning among undergraduate medical students during COVID-19 pandemic

In response to the newly emerging coronavirus disease or COVID-19 pandemic and its profound consequences on the world, many changes have been made to medical education. It includes teaching and learning methods that ensure the educational process’s success. The Andalas University Faculty of Medicine, Indonesia had to implement new online teaching strategies. This study examined how medical students perceived online education during the COVID-19 outbreak. The study is cross-sectional, employed online questionnaires. The response was that most students prefer face-to-face learning in practicum and clinical skills, which require hands-on methods to improve student skills. Half the students were satisfied, and several were neutral about distance learning. The student who agrees that the lecturer is active and has the expertise and knowledge for the class is more satisfied with distance learning (p0.001). The student who agrees about the platform quality, understandable learning guide, and facility from faculty has a higher level of satisfaction with distance learning (p0.001). This study concluded that a medical student at the Andalas University Faculty of Medicine was mainly satisfied with the institution’s response to the pandemic. However, medical faculty must evaluate and improve the quality of education in online learning.

OVERVIEW OF COVID-19 CASES IN PREGNANCY AT THE HOSPITAL UNIVERSITAS SUMATERA UTARA, INDONESIA, WHEN THE PANDEMIC STORM HIT IN THE 2020-2022 PERIOD.

COVID-19 (Coronavirus 2019) is caused by SARS-CoV-2 (Severe Acute Respiratory Syndrome-Coronavirus-2), an acute infectious disease primarily affecting the respiratory system. Data on COVID-19 exposure during pregnancy and issues associated with COVID-19 during pregnancy remain limited. This research aimed to determine the number of pregnant women infected by COVID-19, laboratory test findings of pregnant women related to COVID-19 infection, infant outcome from mother with or without COVID-19 infection and referential status for COVID-19 and non-COVID-19 pregnant women at the USU Hospital during the 2020-2022 period. This research was conducted using a descriptive method with a cross-sectional study approach using a non-probability sampling technique by collecting secondary data from COVID-19 and non-COVID-19 pregnant women at the USU Hospital during the 2020-2022 period, where 112 samples were obtained. The majority of COVID-19 pregnant women and non-COVID-19 pregnant women have been identified sequentially based on Hb (11.6%-decreased vs 79.5%-normal); Ht (11.6%-decreased vs 76.8%-increased); leukocytes (11.6%-increased vs 83%-normal); thrombocytes (8.9%-normal vs 86.6%-normal); PT (9.8%-normal vs 50.9%-normal); APTT (11.6%-normal vs 87.5%-normal); D-dimer (11.6%-long vs 56.3%-long); procalcitonin (7.1%-increased vs 87.5%-normal); NLR (8%-increased vs 82.1%-normal); CRP (12.5%-increased vs 87.5%-normal) and all of the baby outcomes were non-COVID-19 and the majority of pregnant women were not referred. Based on the data in this study, the majority of pregnant women and babies at the USU Hospital during the 2020-2022 period were non-COVID-19 positive and with non-referral status. Laboratory findings of COVID-19 in pregnancy significantly reveals abnormalities.

Factors Affecting Hospitalization Length and in-Hospital Death Due to COVID-19 Infection in Saudi Arabia: A Single-Center Retrospective Analysis.

The emerging COVID-19 coronavirus disease has widely spread, causing a serious worldwide pandemic. Disease severity and mortality risk can be predicted using an analysis of COVID-19 clinical characteristics. Finding out what influences patients' hospitalization length and in-hospital mortality is crucial for decision-making and planning for emergencies. The goal of this study is to identify the factors that influence hospital stay length and in-hospital death due to COVID-19 infection. This cross-sectional study was conducted from August to October 2020 and included 630 patients with a confirmed diagnosis of COVID-19 infection. Using odds ratios (OR) and 95% confidence intervals (CI), a multivariable logistic regression model was used to assess the variables that are linked to longer hospital stays and in-hospital deaths. Most patients were male (64.3%), and most were older than 40 years (81.4%). The mean length of hospital stay (LoHS) was 10.4±11.6 days. The overall death rate among these COVID-19 cases was 14.3%. Non-survivors were older, had more comorbidities, had prolonged LoHS with increased ICU admission rates and mechanical ventilation usage, and had a more severe condition than survivors. ICU admission, low serum albumin, and elevated LDH levels were associated with longer LoHS, while ICU admission, DM, and respiratory diseases as comorbidities, total leukocytic count, and serum albumin were predictors of mortality. Longer LoHS due to COVID-19 infection was linked to ICU admission, low serum albumin, and elevated LDH levels, while the independent predictors of in-hospital death were ICU admission, DM, and respiratory diseases as comorbidities, total leukocytic count, and serum albumin.

Analysis and Design of Disease with Real Time Tracking System

The World Health Organization has classified the Covid-19 corona virus outbreak as a global pandemic. Lockdown and awareness (social distance, wearing of masks, etc.) among individuals are found to be the only ways to stop the community spread of this disease given the worrisome increase in affected cases around the world. Without widespread public awareness and proactive actions taken by the populace, it is exceedingly challenging to stop the communal transmission even during a lockdown in a highly populated nation like India. Recently, numerous containment zones across the nation were found and separated into red, orange, and green zones, respectively. The user can receive an alarm system from this programme if they search for or track any location, say they do so in an area that has been infected by the COVID-19 virus. The development of an Java to alert users to the Covid-19 containment zones and deter trespassing there is the primary topic of this article. The positions of the places on a map that are designated as containment zones are updated by this web application. The application also alerts users to the online database if they enter a containment zone. Therefore, this application can be utilized as a tool to raise social awareness of the growing need for people to take preventative action.

Modeling the Gender Gap in Career Satisfaction Among Insurance Advisor’s of Life Insurance Corporation India

The global economy saw a sharp decrease as a result of the COVID-19 coronavirus's proliferation. Numerous businesses, particularly those that deliver in-person services, had to temporarily close due to the exceptional measures taken to contain the outbreak, such as lockdowns. The feeling and impression of one's own professional achievement in proportion to one's personal self-set criteria is known as career satisfaction. A career in the Indian Insurance sector can not only be quite challenging but also rewarding. The Covid-19 heavily affected the regular income of both salaried and non-salaried class people. In this circumstance, the insurance agents faced certain difficulties such as, collecting premium from policy holders, getting new policy and settling the policy claim on time. Overall, the aforementioned challenges undoubtedly had an impact on the insurance advisor's ability to accomplish his or her career goals, including those for income, progress, and the acquisition of new skills. In context with the above topic, this short-term research paper attempts to reveal the career satisfaction between Male and Female Insurance agents of LIC during this pandemic period. There's no significant difference among male and female insurance advisors with regard to of their professional accomplishments, professional goals, and advancement in their careers, according to the findings. Nevertheless, female insurance advisers are happier than male insurance advisors with the strides they have made in achieving their financial and skill-development objectives.

DISPLAY OF COVID 19 INFORMATION ON HOTEL WEBPAGES- A CONTENT ANALYSIS

Purpose: The novel coronavirus (Covid-19) has pushed the hospitality industry towards an unprecedented crisis. Hotels around the world were under tremendous pressure to survive through this pandemic by adopting safety guidelines and communication with customers. This study examines the policies about safety guidelines of Indian hotels on Covid-19 with the help of their web pages, as reflected on the biggest aggregator website of India.Design: The study investigates the web pages of hotels in Agra, Delhi, and Jaipur, as shown in the biggest aggregator website of India, make my trip application and website using content analysis.Methodology: The authors consider coded statements and words, which the Government of India prescribed to the hotels for ensuring the protection against Covid-19.Implications: The study has the potential to understand the different policies adopted by the Indian hotels on Covid-19. The information obtained could help the customers to choose the right hotels for them during the pandemic. It could also provide suggestions to hotels interested in initiating best practices on dealing with Covid-19.

The Integral Role of Instructional Speech Acts into Student Learning Engagement amidst the Covid-19 Pandemic

Educational institutions are faced with an enormous challenge due to the CoronaVirus (Covid-19) disease. The deadly and infectious Covid-19 led to the closure of schools and universities across the world that made teaching and learning more difficult. This study aimed to examine the integral role of the teachers’ language in communicating and relating to students during this time of pandemic. The language used were specified into three speech acts namely, decision-giving, meaning-making and empathetic language. As for the methodology, quantitative research has been utilized in the process of collecting and analyzing data. Simple Linear Regression analysis was used to predict the effect of the three instructional speech acts to the learning engagement of the students. The results indicated that each of the three instructional speech acts has a positive linear relationship with the students’ learning engagement.

Mask Detection System with Computer Vision-Based on CNN and YOLO Method Using Nvidia Jetson Nano

Health is an essential aspect of life. The World Health Organization (WHO) has officially declared the Corona Virus (Covid-19) a global pandemic that has spread to Indonesia. For preventive measures against Covid-19, the Indonesian government is trying to deal with the Covid-19 pandemic with 3M health protocol aimed at community activities, such as Memakai Masker (wearing masks), Mencuci Tangan (washing hands), and Menjaga Jarak (maintaining distance). In this study, software and hardware design was carried out to detect mask users and immediately warn violators who do not use masks automatically and can function automatically offline by utilizing digital image processing using NVIDIA Jetson Nano using the YOLO (You Only Look Once) method. The CNN YOLOv4-tiny model is chosen to obtain measurement results for mask user detection accuracy because it has a relatively minor computational value and is faster. The best camera detection angle is obtained at a vulnerable angle of 45O-90O or in the range of 90O-135O with value confidence that the average is 99.94% and the best accuracy is at a lux value greater than 70, and a minimum camera height of 1 meter and a maximum of 3 meters. Under conditions of lux 96 (bright), the maximum distance for detecting a face object is 12 meters, and the ability of the system to output a warning sound has been successfully integrated with a relay to run the mp3 module separately from the system, so as not to interfere with the Jetson Nano computation process and the model is successfully run on the Jetson Nano with an average computation of 13 frames per second.

Personal Hygiene dan Sanitasi Lingkungan pada Pengelolaan Makanan di Masa Pandemi Covid-19 di Tempat Makan “Ayam Penyet” Kelurahan Air Dingin, Kecamatan Bukit Raya

Coronavirus (Covid-19) is a non-segmented single-stranded positive RNA virus. the Coronaviridae family, and the subfamily Orthocoronavirinae. Hygiene is health efforts by caring for and protecting the subject.. Positive cases of Covid-19 currently reach 63,360,234 million people worldwide with a total of 1,475,825 million deaths, Pekanbaru City has a total of 9,886 thousand cases of Covid-19 . the researcher took the research location in two places in Air Cold sub-district, these two locations have places to eat and quite a lot of buyers because this area is the location where students live and where students buy food, a place to relax and enjoy food with friends, and this location is in the UIR campus area which has a lot of visitors. This study aims to see how far the application of food management hygiene and sanitation has been applied during the Covid-19 pandemic. This type of research is Qualitative Analysis using the Case Survey method and conducting observations and in-depth interviews. There were 12 informants in this study with 4 key informants as owners of the Ayam Penyet restaurant in Bukit Raya District, 4 main informants, namely employees of the Ayam Penyet restaurant, and 4 supporting informants, namely visitors. This research was conducted in January-July 2022. The results showed that there were several stages that did not meet the requirements based on KepMenkes RI No 942/MENKES/SK/VII/2003, including the stages of managing hygiene conditions, equipment sanitation, food storage, processing conditions food, food storage, food serving process and what meets the requirements is the condition of clean water. It is hoped that the two places to eat will maintain more hygiene and sanitation when handling food and during the Covid 19 period they should use health protocols such as using masks and glovesi.

Intolerance of Uncertainty and Worry Prospectively Predict COVID-19 Anxiety and Distress: A 4-Year Longitudinal Study

The COVID-19 pandemic precipitated an uptick in poor mental health outcomes, including coronavirus-related anxiety and distress. Preliminary research has shown that intolerance of uncertainty (IU) and worry proneness, two transdiagnostic risk factors for anxiety and related disorders, are associated cross-sectionally with pandemic-related fear and distress. However, the extent to which IU and worry proneness prospectively predict coronavirus-related anxiety and distress is unclear. Whether IU and worry may also interact in prospectively predicting coronavirus-related anxiety and distress is also unknown. To address this knowledge gap, the present study examined IU and trait worry as prospective predictors of the level and trajectory of coronavirus anxiety and COVID stress syndrome over time, as well as the extent to which worry moderated the relation between IU and pandemic-related outcomes. Participants (n = 310) who completed self-report measures of IU and trait worry in 2016 were contacted following the onset of COVID-19 in 2020 and completed biweekly measures of coronavirus anxiety and COVID stress syndrome for 30 weeks. Multilevel models revealed that IU assessed in 2016 significantly predicted the severity of both coronavirus anxiety and COVID stress syndrome throughout the study period in 2020. Worry also moderated the link between IU and coronavirus anxiety, such that individuals with high levels of trait worry and high IU in 2016 experienced the most coronavirus anxiety in 2020. Results suggest that IU and worry functioned as independent and interactive vulnerability factors for subsequent adverse psychological reactions to COVID-19. Clinical implications and future directions are discussed.

PLANT BIOACTIVE ; CAROTENOIDS, POLYPHENOLS AND FLAVONOIDS IN IMPROVING THE IMMUNE SYSTEM AGAINST COVID-19 INFECTION

COVID-19 (coronavirus) is a new type of virus that can cause disease in animals and humans. This type of virus causes a crisis or threat to human life in 2020. Before an ideal vaccine or drug is found to prevent COVID-19 infection, steps or approaches are needed that can break the chain of infection. Several things that can be done to prevent COVID-19 infection are to take advantage of the chemical content of natural ingredients, maintain nutritional intake, maintain the resilience of the body's immune system and adhere to health protocols. The public needs to be made aware of the use of natural metabolites in order to maintain the body's defense system. Carotenoids, polyphenols and flavonoids are a group of secondary metabolites in plants that can physiologically increase the body's immune system against bacterial and viral infections. Red, yellow pigments in plants and some organisms known as coarotenoids have the ability to enhance the body's immune response or cellular immune system. While polyphenols and flavonoids are a unique group of phytochemicals in fruits, vegetables and herbs. This component has the potential to inhibit viral replication. People are expected to use plant chemical compounds to improve the body's immune system.

Fear of covid-19 and covid-19 anxiety as predictors of adherence to treatment in patients with epilepsy

Background: The study aimed to examine fear of COVID-19 and Coronavirus Anxiety as predictors of adherence to treatment in individuals diagnosed with epilepsy during the COVID-19 pandemic. Method and Material: The study was carried out in a university hospital. The research sample consisted of 154 epilepsy patients. The patient identification form, Coronavirus (Covid-19) Fear Scale, Coronavirus Anxiety Scale, and the Medication Adherence Report Scale (MARS) were used as data collection tools. The data were shown as percentages and mean ± standard deviation (SD), and Pearson/Spearmen correlation and linear regression analyses were used to examine the relationship between the variables. Results: The results of the analysis demonstrated that the model established for medication adherence in epilepsy patients was significant (F: 12,892, p &lt; 0.001). In addition, for medication adherence, COVID-19 anxiety (β = -0.312), regular drug use (β = 0.242), seizure frequency (β = -0.234), and accommodation in the city center (β = -0.173) were found to be statistically significant predictors (p &lt; 0.001). It was found that the variables explained 24% of the total variance. Conclusions: It should be remembered that infectious diseases such as COVID-19 can reoccur and that it is necessary to be prepared for new contagious diseases likely to occur. In case of the recurrence of infectious diseases such as COVID-19, it is important to conduct interventional/experimental studies on how to increase medication adherence of patients and how to reduce COVID-19 anxiety.

OBTAINING DRY EXTRACTS FROM LICORICE ROOTS (GLYCYRRHIZA GLABRA) AND ITS STANDARDIZATION

Licorice (Glycyrrhiza glabra) root has long been used in traditional medicine due to its various therapeutic properties. One of the main active components in licorice root is glycyrrhizin, which has been shown to possess numerous pharmacological effects. Glycyrrhizin, one of the major compounds present in licorice root, has been shown to possess anti-inflammatory, antioxidant, and anti-tumor propertiesas well as antiviral properties against influenza virus and coronavirus COVID-19. The demand for licorice root extracts is increasing, particularly for use in the food and pharmaceutical industries. However, the quality and consistency of licorice extracts can vary depending on the extraction method used. Therefore, the aim of this study was to optimise the technology for obtaining dry extracts from licorice roots and standardise the process for increased consistency and quality of the final product. In this study, two different methods for extraction were compared: ultrasound-assisted extraction using water and alcohol-water solvents. The extracted samples were then subjected to various quality control tests, including glycyrrhizin content and moisture content. The content of glycyrrhizin in the obtained dry extracts was determined using high-performance liquid chromatography (HPLC). The standardisation of the dry extract was performed according to the Pharmacopoeia of the Eurasian Economic Union. The results showed that the optimised technology for obtaining dry extracts from licorice roots was water extraction with ultrasound, as it yielded a higher content of glycyrrhizin compared to ethanol extraction with ultrasoundand the optimal conditions for ultrasound-assisted extraction were an extraction time of 60 minutes, frequency of ultrasound bath at 40 kHz, an extraction temperature of 30°C, and a solid-to-liquid ratio of 1:6. The standardisation process confirmed the presence of glycyrrhizic acid and purity of the obtained dry extract.

Surgical management during three phases of covid-19 pandemic with changing role of thoracic computerized tomography imaging in orthopaedic patient management: Lessons learned by orthopaedic surgeon

The coronavirus (Covid-19) pandemic has ravaged the whole world. It had affected the allied surgical branches that had to reinvent the protocols for patient management. Trauma being inevitable, needed urgent attention. The changing perspectives had a defining role in the direction of arthroplasty too.The pandemic has been considered into three different phases: 1. The acute phase of the lockdown; 2. The intermediate phase of surgical prioritization; 3. The late phase of surgical management post-vaccination.We deliberate on the impact of the pandemic on orthopaedic surgery and the role of Thoracic computerized tomography (Th-CT) imaging during Covid-19 on the surgical practice of orthopaedic surgeons. Th-CT had been useful imaging during the acute phase of lockdown in the pandemic to identify the asymptomatic Covid-19 infection and to gauge the severity of viral infection. We reviewed the guidelines formulated during each step and identified the lessons learned by the practicing orthopaedic surgeon. We further elaborate on the changes in the usage of Th-CT in the subsequent intermediate and late phases of the pandemic for orthopaedic surgeons. The critical consideration remained to achieve an uneventful recovery during the orthopaedic surgical management, to avoid the transmissibility of infection to the surgeon, and to protect the patient from the high morbidity and mortality of Covid-19 related illness. The Covid-19 pandemic has instigated orthopaedists to develop a holistic approach to deal with the new challenges during this pandemic era.

The Impact of Covid-19 (Coronavirus) on Consumers’ Behavior towards E-commerce

The Covid-19 pandemic has disrupted people's usual lifestyles, and this infectious disease has had a significant and pervasive impact on all facets of human existence. This study investigates how consumers' shopping behaviors have been influenced by the pandemic and how they are utilizing e-commerce to adapt and cope with the challenging circumstances caused by the Covid-19 situation. A conceptual framework and hypotheses have been developed based on the analysis of existing literature and several uniform methods to fulfill the research objectives. The study conducted several statistical analyses, like Confirmatory Factor Analysis (CFA), Cronbach's alpha (CA), composite reliability (CR), average variance extracted (AVE), heterotrait-monotrait (HTMT) ratio, and regression analysis. The result indicates that the pandemic situation influences consumers to use e-commerce to avoid unfavorable situations. As a result, economic benefits have been optimized due to the adoption of e-commerce during the pandemic situation.

Analysis of the epidemic situation of the COVID-19 coronavirus infection in Ukraine.

The epidemic process of COVID-19 in the world developed rapidly. The situation with morbidity, despite the establishment of quarantine, the introduction of restrictive anti-epidemic measures, and vaccination, remains difficult. The results of research on the influence of meteorological factors on the dynamics of the incidence of COVID-19, hospitalization, and mortality are ambiguous and contradictory. The purpose of this study is to analyze the indicators of morbidity, hospitalization, and mortality from COVID-19 in Ukraine, and to establish the level of influence of meteorological factors on them. A high variation in morbidity, hospitalization, and mortality rates was observed in Ukraine, in 2020-2021. A total of 3 waves of disease growth were established. The curve of hospitalization indicators of patients with COVID-19 had a correlation dependence on the incidence curve r = 0.766 (р <0.05), the maximum rates of hospitalization and mortality were registered in September-December 2021. A direct strong correlation was established between the frequency of registration of cases of COVID-19 and mortality - r = 0.899 (р <0.05). Most cases of COVID-19 were registered in the cold season, the least in June-August. Inverse correlations of moderate strength were established between the indicators of morbidity, hospitalization, and mortality and air temperature levels (-0.370< r <-0.461). Direct correlations of average strength (0.538< r <0.632) were established with the levels of relative air humidity.