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Nowadays, with the outbreak of COVID-19, the prevention and treatment of COVID-19 has gradually become the focus of social disease prevention, and most patients are also more concerned about the symptoms. COVID-19 has symptoms similar to the common cold, and it cannot be diagnosed based on the symptoms shown by the patient, so it is necessary to observe medical images of the lungs to finally determine whether they are COVID-19 positive. As the number of patients with symptoms similar to pneumonia increases, more and more medical images of the lungs need to be generated. At the same time, the number of physicians at this stage is far from meeting the needs of patients, resulting in patients unable to detect and understand their own conditions in time. In this regard, we have performed image augmentation, data cleaning, and designed a deep learning classification network based on the data set of COVID-19 lung medical images. accurate classification judgment. The network can achieve 95.76% classification accuracy for this task through a new fine-tuning method and hyperparameter tuning we designed, which has higher accuracy and less training time than the classic convolutional neural network model. © 2023 SPIE.
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The most dangerous Coronavirus, COVID-19, is the source of this pandemic illness. This illness was initially identified in Wuhan, China, in December 2019, and currently sweeping the globe. The virus spreads quickly because it is so simple to transmit from one person to another. Fever is one of the obvious signs of COVID-19 and is one of its prevalent symptoms. The mucosal areas, such as the nose, eyes, and mouth, are among the most significant ways to catch this virus. In order to prevent and track the corona virus infection, this research suggests a face-touching detection and self-health report monitoring system. Their hygiene will immediately improve thanks to this system. In this pandemic circumstance, people use their hands in dirty environments like buses, trains, and other surfaces, where the virus can remain active for a very long time. With an accelerometer and a pulse oximeter sensor, this system alerts the user when they are carrying their hands close to their faces. © 2023 IEEE.
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Maintaining the efficiency of road pavement is essential to achieving the highest road performance and comfort for road users. Pavement monitoring plays a significant role in maintaining the sustainability of road networks. Additionally, assessments have been performed using different equipment and devices or through visual inspections to determine the type and severity of pavement degradation. However, some obstacles may affect the sustainability of road networks by preventing the regular monitoring and maintenance of pavements, such as the COVID-19 pandemic. Due to the COVID-19 pandemic, the construction and management of transportation systems have been affected by economic shut-downs and imposed social restrictions. Road networks have also suffered from neglect and a lack of monitoring and maintenance due to the government's lockdowns in addition to strict regulations that limit movement on roads and any form of construction, monitoring, inspection, and evaluation to improve road pavement conditions. This research introduces a safe pavement monitoring system using an e-bike to evaluate and predict pavement degradation. An accelerometer sensor and line-scan camera were used to collect pavement vibration data during the e-bike's movement. The results of the proposed monitoring method showed reliable evaluation outcomes. Moreover, the SVM model showed a significant contribution to detecting and classifying pavement distress.
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The COVID-19 condition had a substantial impact on the education sector, corporate sector and even the life of individual. With this pandemic situation e-learning/distance learning has become certain in the education sector. In spite of being beneficial to students and teachers, its efficacy in the education domain depends on several factors such as handiness of ICT devices in various socio economic groups of people and accessible internet facility. To analyze the effectiveness of this new system of e learning Sentiment Analysis plays a predominant role in identifying the user's perception. This paper focus on identifying opinions of social media users i.e. Twitter on the most prevailing issue of online learning. To analyze the subjectivity and polarity of the dynamic tweets extracted from Twitter the proposed study adopts TextBlob. As Machine Learning (ML) models and techniques manifests superior accuracy and efficacy in opinion classification, the proposed solution uses, TF-IDF (Term Frequency-Inverse Document Frequency) as feature extraction technique to build and evaluate the model. This manuscript analyses the performance of Multinomial Naive Bayes Classifier, DecisionTreeClassifier, SVC and MLP Classifier with respect to performance measure as Accuracy. © 2022 IEEE.
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In this paper, we study the epidemic situation in Kazakhstan and neighboring countries, taking into account territorial features in emergency situations. As you know, the excessive concentration of the population in large cities and the transition to a world without borders created ideal conditions for a global pandemic. The article also provides the results of a detailed analysis of the solution approaches to modeling the development of epidemics by types of models (basic SIR model, modified SEIR models) and the practical application of the SIR model using an example (Kazakhstan, Russia, Kyrgyzstan, Uzbekistan and other neighboring countries). The obtained processing results are based on statistical data from open sources on the development of the COVID-19 epidemic. The result obtained is a general solution of the SIR-model of the spread of the epidemic according to the fourth-order Runge-Kutta method. The parameters β, γ, which are indicators of infection, recovery, respectively, were calculated using data at the initial phase of the Covid 2019 epidemic. An analysis of anti-epidemic measures in neighboring countries is given. © 2022 Copyright for this paper by its authors. Use permitted under Creative Commons License Attribution 4.0 International (CC BY 4.0).
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Objective To investigate the physical and mental condition and medicine consumption of medical staff of shelter hospitals in Shanghai during the fight against the epidemic of coronavirus disease 2019 (COVID-19). Methods A total of 144 frontline medical staff who fighting against the COVID-19 epidemic from a tertiary first-class hospital from Apr. 4 to May 12, 2022 were surveyed by questionnaires online. Their physical condition including body weight change before the medical work and one month later, sleep quality and the medicine consumption during the medical work were collected and analyzed. Results The mean body weight of frontline doctors before the medical work and one month later were (69.80+/-8.35) kg and (68.60+/-7.37) kg, while those of nurses were (55.36+/-8.27) kg and (53.80+/-7.38) kg, both showing a decreasing trend but without significant difference (all P0.05). A total of 63.89% (92/144) frontline medical staff suffered from insomnia, of which 27.08% (39/144) needed drug intervention. The top 5 common diseases among frontline medical staff were sleep disorder (63.89%, 92/144), skin injury (25.69%, 37/144), body pain (23.61%, 34/144), oral ulcer (13.19%, 19/144), and acute upper respiratory tract infection (9.72%, 14/144). A total of 155 medical staff used drugs, and the top 5 common drugs were skin application (16.77%, 26/155), Ganmao'an granule (12.26%, 19/155), zolpidem tartrate tablets (11.61%, 18/155), Kangfuxin liquid (11.61%, 18/155), and celecoxib capsules (8.39%, 13/155). Conclusion Frontline medical staff in shelter hospitals are prone to have body weight change, sleep disorder, skin injury, body pain, oral ulcer, acute upper respiratory tract infection and so on, which suggests that in future similar large-scale medical support, it is necessary to pay sufficient attention to the physical condition of frontline medical staff and provide them sufficient medicine.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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The analysis of current trends in the implementation of effective socio-economic solutions and their development under the influence of COVID-19 is made. The prospects of using innovative and telecommunication technologies, robotics, big data processing methods and knowledge management methods in the formation and management of global economic clusters were noted. The clustering of delivery robots under pandemic conditions by methods of machine learning was carried out. The peculiarities of COVID-19 assessment as the main formative factor influencing socio-economic decision-making on a global scale are disclosed. The necessity and possible consequences of adopting and implementing new decisions designed to minimize the negative effects of COVID-19 on Russian and global economies are discussed. It is noted that the design and development of innovations in the system of management and transfer of knowledge is an indispensable condition for the successful development of future socio-economic relations. On the basis of the obtained results conclusions are made about the background of the applied solutions, about the vector of their direction and makes it clear what should be paid special attention to when assessing the current situation in society and determine which solutions are most effective and how the social order should be transformed to successfully withstand the new challenges. © 2023 SPIE.
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Introduction: Croatian National Cancer Registry of Croatian Institute for Public Health reported that in year 2020 lung cancer was the second most common cancer site diagnosed in men with 16% and the third most common in women with 10% incidence among all cancer sites. Unfortunatelly lung cancer has the highest mortality in both men and women. Haematological malignancies had 7% share in all malignancies in both male and female cances cases. In 2020 190 newly diagnosed cases of lymphatic leukemia in men and 128 cases in women were reporeted, meaning 1.5 and 1.2% of all malignancies, respectively. Chronic lymphatic leukemia (CLL) is an advanced age disease and incidence increases with age. Impaired immunity, T and B cell dysfunction in CLL, chromosomal aberations, long-term immunosuppressive therapy and genetic factors can all cause secondary malignancies. Co- occurence of solid tumors and CLL is very rare. Although patiens with CLL have an increased risk of developing second primary malignancies including lung carcinoma, the data about their clinical outcomes are lacking. Parekh et al. retrospectively analyzed patients with simultaneous CLL and lung carcinoma over a 20-year period, and they found that ~2% of patients with CLL actually developed lung carcinoma. The authors claimed that up to 38% of patients will also develop a third neoplasm more likely of the skin (melanoma and basal cell carcinoma), larynx (laryngeal carcinoma) or colon. Currently there are no specific guidelines for concurrent CLL and non-small cell lung carcinoma (NSCLC) treatment. Usually, when the tumors are diagnosed simultaneously, treatment is based to target the most aggressive malignancy, as the clinical outcomes depend on the response of the tumor with the poorest prognosis. For this reason, a multidisciplinary approach is mandatory. Case report: A patient with history of coronary heart disease, myocardial infarction and paroxysmal atrial fibrillation was diagnosed in 2019 (at the age of 71) with B chronic lymphocytic leukemia with bulky tumor (inguinal lymph nodes 8x5 cm), stage B according to Binet, intermediate risk. He was treated with 6 cycles of chemoimmunotherapy (rituximab/cyclofosfamid/fludarabine). In 10/2019 remission was confirmed, but MSCT described tumor in the posterior segment of upper right lung lobe measuring 20x17 mm and bilateral metastases up to 11 mm. Bronchoscopy and biopsy were performed, and EGFR neg, ALK neg, ROS 1 neg, PD-L1>50% adenocarcinoma was confirmed. He was referred to Clinical Hospital Center Osijek where monotherapy with pembrolizumab in a standard dose of 200 mg intravenously was started in 01/2020. Partial remission was confirmed in October 2020. Immunotherapy was discontinued due to development of pneumonitis, dysphagia and severe weight loss (20kg), but without radiologically confirmed disease progression. At that time he was referred to our hospital for further treatment. Gastroscopy has shown erosive gastritis with active duodenal ulcus, Forrest III. Supportive therapy and proton pump inhibitor were introduced. After complete regression of pneumonitis, improvement of general condition and resolution of dysphagia, no signs of lung cancer progression were found and pembrolizumab was reintroduced in 12/2021. Hypothyroidism was diagnosed in 01/2021 and levothyroxine replacement ther apy was started. In 03/2021 he underwent surgical removal of basal cell carcinoma of skin on the right temporal region with lobe reconstruction. From 02/2021, when pembrolizumab was reintroduced, regression in tumor size was continously confirmed with complete recovery of general condition. He was hospitalized for COVID 19 infection in 09/2021, and due to complications pembrolizumab was discontinued till 11/2021. Lung cancer immunotherapy proceeded till 11/2022, when Multidisciplinary team decided to finish pembrolizumab because of CLL relapse. CLL was in remission till August 2022 when due to B symptoms, lymphcytosis, anemia and generalized lymphadenopathy, hematological workup including biopsy of cervical lymph node was performed and CLL/SLL relapse was confirmed. Initially chlorambucil was introduced, but disease was refractory. Based on cytogenetic test results (IGHV unmutated, negative TP53) and due to cardiovascular comorbidity (contraindication for BTK inhibitors) venetoclax and rituximab were started in 01/2023. After just 1 cycle of treatment normal blood count as well as regression of B symptoms and peripheral lymphadenopathy occured, indicating the probability of complete disease remission. In our patient with metastatic lung adenocarcinoma excellent disease control is achieved during 41 month of treatment in first line setting. Furthermore, relapsed/refractory CLL/SLL is currently in confirmed remission. Conclusion(s): Successful treatment of patients with multiple primary malignancies is based on multidisciplinarity, early recognition and management of side effects, treatment of comorbidities with the aim of prolonging life, controlling symptoms of disease and preserving quality of life.
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The most common causes of acute hepatitis in children are hepatitis A and autoimmune hepatitis. Hepatitis in the course of Wilson's disease is sporadically registered in adolescents. An increase of activity of aminotransferases both in the course of multisystem inflammatory syndrome in children (MIS-C) and in the course of COVID-19 has been observed. Hepatitis is common in children with MIS-C and is associated with a more severe presentation and persistent elevation of liver function tests. To date, no cases of acute hepatitis in children due to COVID-19 have been reported. We present 2 cases of acute hepatitis in children where the only cause seems to be a previous asymptomatic SARS-CoV-2 infection.Copyright © 2023 Termedia Publishing House Ltd.. All rights reserved.
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Introduction: Colorectal cancer is the third most common cause of cancer in the world, after lung and breast cancer, while in Croatia is the most common malignant disease. Among the EU members, Croatia ranks ninth in terms of the incidence of colon cancer and a high second place by mortality. Since 2007, Croatia has had a National Colon Cancer Early Detection Program, but the response rate is still very low - 36% (25-52% depending on county and year).2 Despite the prevention program, approximately 13% of patients in Croatia is initially diagnosed with metastatic disease.1 According to the results of the CONCORD 3 study3, Croatia is at the bottom of the five-year survival (48%) compared to some other western countries (up to 71%) in the world. Method(s): A retrospective analysis was conducted at the Clinic of Oncology and Radiotherapy, CHC Split. Patients with newly diagnosed colorectal adenocarcinoma enrolled in the clinic from January 1, 2020 to December 31, 2020 were processed. The data were analyzed using descriptive statistics methods, with the use of Microsoft Excel tools. Result(s): A retrospective analysis of the medical history identified 269 patients (compared to 387 in 2017) presented at the multidisciplinary team (MDT) of CHC Split who were diagnosed with colorectal adenocarcinoma in 2020. All patients were presented to the MDT before starting the treatment. The median age of patients was 66 years, and the youngest patient was 22 years old. Patients from other counties who did not undergo the entire treatment/monitoring in our institution were excluded from the analysis. 52 patients (19.3%) were diagnosed in the metastatic stage of the disease, in stage 0 4 patients (1.5%), in stage I 32 (12%), in stage II 91 (34%), and in stage III 88 (33%). In 2 patients, the stage couldn't be precisely determined. There is a significant decrease in the number (81 in 2017 and 52 in 2020) but no percentage wise (20.9% in 2017 and 19.3% in 2020) of patients diagnosed with de novo metastatic colorectal cancer compared to the previous analysis from 2017, when 81 of them were detected. Patients diagnosed with metastatic disease were mostly in good general condition: ECOG 0 status 21 patients (40.3%), ECOG 1 24 patients (46.2%), ECOG 2 7 patients (13.5%), while no patient was ECOG status 3 or 4. 32 (57.7%) patients had a left-sided tumor, while 20 (42.3%) patients had a right-sided tumor. Conclusion(s): The results of our retrospective analysis showed a significant decrease in the number of patients compared to previous years. The effect of the smaller number of newly diagnosed patients will be analyzed and the real consequences will be seen, however, the appearance of patients in the later stages of the disease is to be expected.
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Background: "Long COVID" or "post-COVID conditions" describes prolonged symptoms after the acute phase of coronavirus disease 2019 (COVID-19). However, there is a paucity of published reports on its treatment. Method(s): This retrospective cohort study included adult, non-hospitalized patients with COVID-19 symptoms at least one month after the onset who had been examined at the isolation facility in Miyagi prefecture between October 2020 and September 2021. Result(s): In total, 70 patients with a median age of 46 (21-69) years were included, and 37 were women (52.9%). The median time from onset to the end of treatment was 46 (28-396) days. Thirty-eight patients (53.5%) showed improvement in all symptoms, while four (5.7%) did not recover within the study period. The symptoms at six months with high residual rates were dizziness (33.3%), fatigue (14.3%), myalgia (14.3%), abdominal discomfort (14.3%), and taste dysfunction (11.8%). For treatment of prolonged symptoms, formulae of Kampo medicine (Japanese traditional medicine) were used alone or in combination with Western medications in 76%, 66%, 53%, and 66% of patients at 1-2 months, 2-3 months, 3-6 months, and over 6 months respectively. Kampo formulae with anti-inflammatory effects were used in the early period;however, tonifying formulae and blood stasis-resolving formulae were used in the late period. Conclusion(s): Non-hospitalized patients with COVID-19 may suffer from persistent symptoms after the acute phase of infection. For the management of long COVID, a comprehensive and holistic approach is needed. Kampo medicine should be considered as a treatment option for long COVID.Copyright © 2023 The Authors. Traditional & Kampo Medicine published by John Wiley & Sons Australia, Ltd on behalf of Japan Society for Oriental Medicine and Japan Society of Medical and Pharmaceutical Sciences for Traditional Medicine.
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COVID-19 affected our lives intensly. That state of affairs made humans helpless. They had been depressed and experienced loneliness. At that time many human beings were determined to play video games just to loosen up their minds. Many games changed into an additional source of revenue wherein during COVID-19 they were playing while earning money. With these advantages, there were also some poor effects was accrued. A number of players remained playing video games post COVID-19. The carried out survey is based on the social video games results on players' well-being and additionally on the effects of gamers' health and their sensible lifestyles. We are going to investigate the behavior of gamers engaged with video games during the COVID-19 lockdown and the video games affects on their well-being, the time they served in playing video games, and the consequential effect on their behavior and social and mental well-being. The results provide a start line for empirically grounded discussions on video games at some stage in the pandemic, their use, and potential outcomes. Different agegroups of players have been investigated. Most players are between 18 and 30 years. A number of the gamers during lock down played a few hours but most of players were males who spent most of their day playing video games. However, now the ratio of playing video games is reduced as examined with past circumstances. Roughly we can say that the condition as a whole is better, the reason why players enforced video games in their post COVID-19 practical life1. © 2023 IEEE.
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Today, in Uzbekistan, the number of retail store chains is increasing. In their work, the latest technological achievements are used in order to satisfy the demands and needs of our people. Especially in the conditions of the COVID-19 pandemic, it has been highlighted that retail enterprises operating on the basis of network marketing, based on the needs and demands of the population, are operating in the form of large supermarkets and small stores. In this article, based on the latest information, we analyzed the brands "Korzinka", "Makro", "Havas", "Carrefour"operating in Uzbekistan. © 2022 ACM.
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After the coronavirus outbreak, the disease known as COVID-19 has been infecting millions of people, and the number of deaths is pilling up to hundreds of thousands. In Indonesia, especially Jakarta, some of the deaths are caused by pandemic-related surges that strain hospital capacity. Besides, people had many obstacles in this pandemic condition because of the lack of knowledge about COVID-19. On that matter, several models emerged worldwide to help inform public decision making in this pandemic situation. With today's technological advances the CHIME (COVID-19 Hospital Impact Model for Epidemics) application is designed to assist hospitals and public health officials with understanding hospital capacity needs as they relate to the COVID pandemic. This paper aims to help inform public health decision making regarding the transmission of COVID-19 in Jakarta using CHIME. This work uses Jakarta COVID-19 data from November 24th, 2021 and its accumulation from 14 days before (November 10th, 2021) to predict the course of COVID-19 in 30 days. With ArcGIS Pro and ArcGIS Experience, this work successfully made a map that uses CHIME to inform about peak demand of each city in DKI Jakarta and the daily new admissions and hospitalization graph. In addition, a Jakarta COVID-19 dashboard is also made to inform more about the transmission of COVID-19. © 2022 IEEE.
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BACKGROUND: SARS-CoV-2 virus infection is a pandemic that began to emerge in December 2019 in various countries with high death rates of 4-9% until now. In March 2020, Indonesia found its first case where the condition of the infection kept spreading to various regions in Indonesia. Different regional conditions in Indonesia make it difficult to manage this virus infection. The capability of the regional hospitals to detect this virus infection with their facilities and infrastructure is required. CASE PRESENTATION: A 17-year-old man came to the Ajibarang Regional Hospital with complaints of coughs and colds felt for 4 days and fever for 2 days. Physical examination found a good general condition, moderate pain, the temperature of 38.8degreeC, pharyngeal hyperemia, and minimal lung crackles sound. Laboratory tests showed normal leukocytes, platelet, and hemoglobin levels. Chest radiograph was suggestive of bronchitis. The patient was hospitalized for approximately 4 days until the fever resolved and was discharged. Five days after the patient was discharged from the hospital, the results of the viral load examination using real-time polymerase chain reaction confirmed positive for Coronavirus Disease 2019 (COVID-19). CONCLUSION(S): This case showed unusual conditions of a mild clinical COVID-19 infection, laboratory results that did not support viral infections, as well as radiology examination of only bronchitis. The viral load test was found to be positive. Therefore, the diagnosis of the COVID-19 infection requires a comprehensive interpretation of complete history taking, clinical examination, laboratory, and radiology examinations for clinicians working with limited hospital facilities and infrastructures.Copyright © 2023 Edward Kurnia Setiawan Limijadi, Inge Cahya Ramadhani, Dian Tunjungsari Hartutiningtyas, Gara Samara Brajadenta.
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Objectives: A 14-year-old female patient presents with marked haemorrhagic, adherent crusting of the upper and lower lip and enoral vesicles and erosions. Two weeks before, she had suffered from a respiratory tract infection. She did not take antibiotics but ibuprofen. One week later, she described a swelling and crusting of the upper and lower lips. Urogenital mucosa was also erosive. There was no ocular involvement. Another week later, cocard-like single lesions with partly central blister formation developed. A flaccid blister of 15 mm in diameter was detected in the left ear helix. In total, there was a limited cutaneous involvement of <10% BSA. The girl was admitted to the paediatric clinic. Method(s): Due to mucocutaneous eruptions, bullous lesions and multimucosal involvement, we assumed a Steven-Johnson syndrome or reactive infectious mucocutaneous eruption (RIME). Intravenous rehydration and prophylactic administration of cefotaxime and aciclovir were given. She was balanced and given analgesia with novalgin. The recent increased intake of ibuprofen was discontinued. Local therapy included mometasone cream and serasept dressings. During the inpatient stay, the general condition stabilised and the skin efflorescence's showed a clear regression. Result(s): The microbiological smears for COVID-19, HSV, VZV, mycoplasma, and chlamydia were negative. Discussion(s): As adult classifications for blistering severe cutaneous adverse reactions are limited applicable in children, Ramien et al. proposed revised paediatric-focused clinical criteria 2021. They leave traditional definitions of EEM, SJS and TEN. But they distinguish erythema multiforme (EM) for classic targets with/without mucosal involvement, RIME for cases with mucosal predominance and a respiratory infection trigger, and drug-induced epidermal necrolysis (DEN) for cases caused by medications. (Ramien BJD 2021) There are no current guidelines for RIME therapy. A reasonable management approach includes symptomatic therapy, treatment of identifiable infectious triggers (if possible), consulting urologists, ophthalmologists and gynaecologists (if necessary), immunosuppression, and psychological support. (Ramien ClinExpDermatol 2021).
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This clinical case shows a patient who was admitted to the Hospital Regional Antofagasta (HRA) due to pneumonia associated with COVID-19, coinfected with Mycobacterium tuberculosis, and who consequently developed Acute Respiratory Distress Syndrome (ARDS) in a Catastrophic condition, which warranted Sequential management that began with airway rescue at the hospital of origin (Barros Luco Trudeau (HBLT)) with mechanical ventilation support, in prone condition with poor results. Upon arrival of the transfer team, Extracorporeal Membrane Cannulation (ECMO) was decided. After his favorable response, he was weaned to the artificial respirator (RA) and supported with Arteriovenous CO2 remover (NovalungR ), a maneuver that lasted 192 hours, achieving improvement from Mechanical Ventilation support, until his final weaning. This is an unprecedented clinical case, due to the combination of catastrophic ARDS, associated with the COVID 19 and TB coinfection, and for this reason it is necessary to document cases, guide behaviors and management, which can be adapted according to the technological and professional development with which count each hospital.
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The world continues to struggle with the COVID-19 pandemic, and there is concern over the increase in the needs of older people for nursing care. In this study, the relationships of the "tooth condition” with mobility and cognitive function were investigated in 1,000 residents of 14 special elderly nursing homes. In those using well-fitting dentures, the percentage of those capable of independent indoor mobility was highest at 21.6%, and the percentages of those able to communicate (66.2%), understand routines (47.5%), state their own age (36.2%), remember recent events (45.0%), state their own name (85.7%), understand seasons (43.7%), and understand places (46.4%) were significantly higher than in those in other "tooth conditions”. This study clarified the relationships of the "tooth condition” with mobility and cognitive function, and maintaining an adequate "tooth condition” was suggested to contribute to the prevention of a condition requiring long-term nursing care. © 2023 Asian Society of Human Services.
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The epidemic Covid-19 has extended to majority of nations. This pandemic is due to a contagious condition 'SARS-CoV-2', was identified by the the International Health association. In order to diagnosis this virus from 2D chest computed tomography (CT) images, we applied three different transfer learning algorithms: $VGG-19, ResNet-152V2$ and a Fine-Tuned version of $ResNet-152V2$. The different transfer learning models are used on three hundred and four exams where 74 are normal cases, 60 are community-acquired pneumonia (CAP) cases and 169 were confirmed corona-virus cases. The best accuracy value is reached by the fine-tuned $ResNet-152v2$ by 75% against 70% for the basic $ResNet-152v2$ and 66% for the $VGG-19$. © 2022 IEEE.
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The concern about health is continuously increasing and the COVID-19 pandemic has caused so many changes at a global level, affecting people, regardless demographic features. Different analysis show that people have been affected from different points of view, physically, mentally, and emotionally. The research is focusing on Romanians' perceptions, believes and behaviours in respect with their body, mind and soul (BMS) condition. The paper evaluates the effect of the state of BMS on subjective well-being during the Covid-19 pandemic. It was conducted a descriptive research, using interviews based on an online anonymous questionnaire. The study reveals that when referring to their well-being, the majority are considering emotional and mind condition first. More hours spent in front of a screen and lack of socialization are the main effects of the pandemic. The respondents considered that their emotional state was impacted most in the last year. More then 60% became more aware of the importance of well-being. The majority of the respondents evaluated separately their physical, mental and emotional condition as being good, sustaining their state especially though walking, sleeping enough hours per night and socializing with others, and spending less then 100 euros per month for maintaining their subjective well-being.