FCMCPS-COVID: AI propelled fog-cloud inspired scalable medical cyber-physical system, specific to coronavirus disease.

Medical cyber-physical systems (MCPS) firmly integrate a network of medical objects. These systems are highly efficacious and have been progressively used in the Healthcare 4.0 to achieve continuous high-quality services. Healthcare 4.0 encompasses numerous emerging technologies and their applications have been realized in the monitoring of a variety of virus outbreaks. As a growing healthcare trend, coronavirus disease (COVID-19) can be cured and its spread can be prevented using MCPS. This virus spreads from human to human and can have devastating consequences. Moreover, with the alarmingly rising death rate and new cases across the world, there is an urgent need for continuous identification and screening of infected patients to mitigate their spread. Motivated by the facts, we propose a framework for early detection, prevention, and control of the COVID-19 outbreak by using novel Industry 5.0 technologies. The proposed framework uses a dimensionality reduction technique in the fog layer, allowing high-quality data to be used for classification purposes. The fog layer also uses the ensemble learning-based data classification technique for the detection of COVID-19 patients based on the symptomatic dataset. In addition, in the cloud layer, social network analysis (SNA) has been performed to control the spread of COVID-19. The experimental results reveal that compared with state-of-the-art methods, the proposed framework achieves better results in terms of accuracy (82.28 %), specificity (91.42 %), sensitivity (90 %) and stability with effective response time. Furthermore, the utilization of CVI-based alert generation at the fog layer improves the novelty aspects of the proposed system.

Differential Diagnosis, Prevention, and Treatment of mpox (Monkeypox): A Review for Dermatologists.

The current 2022 mpox (monkeypox) outbreak has been officially recognized as a public health emergency. The mpox clinical symptoms include high fever, fatigue, chills, headache, swollen lymph nodes, muscle aches, and a disseminated painful rash. However, recent cases of mpox have shown a shift in clinical symptoms, with anogenital skin lesions emerging as the predominant feature. Due to the predominant skin manifestations of mpox, dermatologists could be crucial in detecting new mpox cases and educating frontline healthcare professionals about mpox. The mpox virus is continuously evolving and has several variants. Genome sequencing has revealed that the Clade IIb variant is responsible for the 2022 mpox outbreak. Mpox spread may occur through animal-to-human and human-to-human transmission; however, unlike coronavirus disease 2019 (COVID-19), long-range airborne transmission has not been reported. Healthcare professionals are at higher risk of becoming infected since they are usually in close contact with both the patients and potentially contaminated fomites (e.g., examination table, gowns, gloves). Both public and healthcare professionals should take preventive and avoidance measures to limit the spread. Mpox is usually self-limiting and may require only symptomatic treatment; however, it may cause severe complications in special populations such as immunocompromised individuals. For severe infection, clinicians may consider antiviral drugs (off-label), tecovirimat and brincidofovir, originally approved for smallpox treatment. Two smallpox vaccines, ACAM2000® and JYNNEOSTM, can be used as pre-exposure prophylaxis against mpox. JYNNEOSTM, which carries approval for mpox use, has less adverse effect potential than ACAM2000®, and may also be used as post-exposure prophylaxis, preferably within 4 days of exposure.

Olumiant® (Baricitinib)-A Newly Approved Janus Kinase Inhibitor for the Treatment of Alopecia Areata

Olumiant® (Baricitinib) is a newly approved treatment for alopecia areata. Baricitinib is a selective and reversible inhibitor of Janus kinase that has shown promising results in two randomized, placebo-controlled phase-3 trials. A significantly higher number of patients achieved at least 80% scalp coverage following 36 weeks of treatment, compared to the placebo group. Adverse effects reported include acne and urinary tract infections, in addition to the warnings and precautions as highlighted in the product monograph. The current recommended regimen is 2 mg or 4 mg taken once daily, depending on the extent of hair loss. Other approved indications for baricitinib treatment include management of rheumatoid arthritis and the COVID-19 infections. (SKINmed. 2022;20:452-455).

From Diagnosis to Therapy: The Role of Virtual and Augmented Reality in Orthopaedic Trauma Surgery.

By reducing procedure-related problems, advancements in computer-assisted surgery (CAS) and surgical training aim to boost operative precision and enhance patient safety. Orthopaedic training and practice have started to change as a result of the incorporation of reality technologies like virtual reality (VR), augmented reality (AR), and mixed reality (MR) into CAS. Today's trainees can engage in realistic and highly involved operational simulations without supervision. With the coronavirus disease 2019 (COVID-19) pandemic, there is a greater need for breakthrough technology adoption. VR is an interactive technology that enables personalised care and could support successful patient-centered rehabilitation. It is a valid and trustworthy evaluation method for determining joint range of motion, function, and balance in physical rehabilitation. It may make it possible to customise care, encourage patients, boost compliance, and track their advancement. AR supplementation in orthopaedic surgery has shown promising results in pre-clinical settings, with improvements in surgical accuracy and reproducibility, decreased operating times, and less radiation exposure. As little patient observation is needed, this may lessen the workload clinicians must bear. The ability to use it for home-based therapy is often available commercially as well. The objectives of this review are to evaluate the technology available, comprehend the available evidence regarding the benefit, and take into account implementation problems in clinical practice. The use of this technology, its practical and moral ramifications, and how it will affect orthopaedic doctors and their patients are also covered. This review offers a current and thorough analysis of the reality technologies and their uses in orthopaedic surgery.

Clinical profile and in-hospital outcomes of COVID-19 among adolescents at a tertiary care hospital in India.

Introduction: We aimed to describe the clinical profile and risk factors for severe disease in adolescents hospitalised with coronavirus disease 2019 (COVID-19). Methods: A retrospective analysis of an admitted cohort of COVID-19 patients was performed at a tertiary hospital in North India. Adolescents aged 12-18 years who were hospitalised during the first wave (March-December, 2020) and the second wave (March-June, 2021) were included. Data on the demographic details, clinical presentation, laboratory parameters, disease severity at admission, treatments received, and in-hospital outcomes were retrieved. Results: The study included 197 adolescents with a median [inter-quartile range (IQR)] age of 15 (13-17) years, of whom 117 (59.4%) were male. Among these, 170 (86.3%) were admitted during the first wave. Underlying co-morbidities were present in nine (4.6%) patients. A total of 60 (30.9%) patients were asymptomatic. In the severity grading, 148 (84.6%) had mild, 16 (9.1%) had moderate, and 11 (6.3%) had severe disease. Fever (14.9%) and cough (14.9%) were the most commonly encountered symptoms. The median (IQR) duration of hospital stay was 10 (8-13) days, and six (3.1%) patients died in the hospital. Conclusion: Adolescents admitted with COVID-19 had predominantly asymptomatic or mild disease, and the mortality rate was 3.1%.

Hair loss treatment and restoration: Online interest trends and video-based social media content.

BACKGROUND: Public interest in hair loss topics and treatments can be observed by examining online trends, such as those monitored by Google Trends. Social media has also gained the interest of the dermatology community. Video-based social media sites are being used to provide the public with informational content related to hair loss and treatments, but it may not always be unbiased or reliable. AIMS: This research examined the interest in hair loss and treatment related trends in recent years through Google Trends, as well as examined what videos from YouTube and TikTok that the average person may encounter when performing searches related to hair loss and treatments. RESULTS: Google Trends showed that the COVID-19 pandemic had an initial negative impact on interests of hair loss and treatment related topics, both worldwide and in the United States. External events, such as a celebrity receiving a hair transplant, can influence the interests of the general public with the topic. The social media sites showed that there was a high level of interest in the topics, approximately 25% of videos involved a medical professional, and many involved personal experiences or natural remedies. CONCLUSIONS: Interest in hair loss and treatments continues to grow. Clinicians should do their best to follow the current public interests and be aware of where patients may be obtaining information. Being aware of general interest trends online can benefit clinicians by allowing them to prepare their clinics for potential influxes.

Navigating the New Normal: An S-O-R Perspective on Student Experiences of Environmental, Psychological, and Behavioral Changes During the COVID-19 Pandemic

Although higher education has weathered many past challenges, none can compare with the magnitude and velocity of the coronavirus disease 2019 (COVID-19) pandemic. Although students continued their academic careers despite hardships, as yet little is known about how they experienced and adapted to various pandemic-induced changes to their academic and personal lives. We address this gap through a qualitative exploration of student experiences of navigating the new normal which they were abruptly thrust into near the end of the Spring 2020 semester. Using a guided introspection methodology and a Stimulus-Organism-Response (S-O-R) framework, we unearth a dynamic process of psychological and behavioral changes that students experienced in response to the environmental changes brought about by the pandemic. We theorize that environmental dissolution and displacement trigger psychological reorientation, causing students to undertake behavioral practices of restructuration and reconfiguration that, over time, result in a degree of psychological revaluation. Our overall framework represents a fluid conceptualization that is not only more descriptive of real-world student progress but also more parsimonious in its account of key dimensions of student experience during the pandemic. We conclude by noting the implications of our framework for marketing educators and administrators, especially given the growing popularity of remote working.

Stacking Ensemble-Based Intelligent Machine Learning Model for Predicting Post-COVID-19 Complications.

The recent outbreak of novel coronavirus disease (COVID-19) has resulted in healthcare crises across the globe. Moreover, the persistent and prolonged complications of post-COVID-19 or long COVID are also putting extreme pressure on hospital authorities due to the constrained healthcare resources. Out of many long-lasting post-COVID-19 complications, heart disease has been realized as the most common among COVID-19 survivors. The motivation behind this research is the limited availability of the post-COVID-19 dataset. In the current research, data related to post-COVID complications are collected by personally contacting the previously infected COVID-19 patients. The dataset is preprocessed to deal with missing values followed by oversampling to generate numerous instances, and model training. A binary classifier based on a stacking ensemble is modeled with deep neural networks for the prediction of heart diseases, post-COVID-19 infection. The proposed model is validated against other baseline techniques, such as decision trees, random forest, support vector machines, and artificial neural networks. Results show that the proposed technique outperforms other baseline techniques and achieves the highest accuracy of 93.23%. Moreover, the results of specificity (95.74%), precision (95.24%), and recall (92.05%) also prove the utility of the adopted approach in comparison to other techniques for the prediction of heart diseases.

Adverse events following ChAdOx1 nCoV-19 Vaccine (COVISHIELD) amongst health care workers: A prospective observational study.

BACKGROUND: During ongoing COVID-19 pandemic, researchers worked enormously to develop effective vaccines against COVID-19 infection. Two Indian-made vaccines [Covishield (ChAdOx1 nCoV-19) and Covaxin] were granted Emergency Use Authorization. India launched its COVID-19 vaccination drive starting with healthcare workers (HCW). Aim of the study was to evaluate adverse events following immunization (AEFI) amongst the HCW with two doses of Covishield vaccine. We also evaluated association of AEFI according to sex, profession and age groups. METHODS: A prospective observational study was conducted in a tertiary care COVID dedicated hospital of Southern India from 16 Jan - 15 Apr 2021. Nine hundred and eighty one HCW who received 2 doses (4 weeks apart) were enrolled. Active and passive surveillance was conducted after 48 hours, and at days 8,15, 22 and 28 for both doses. The rate of AEFI for each dose was determined. Incidence and association of AEFI with various demographic variables was determined. RESULTS: 1020 non-serious and two serious AEFI (altered sensorium) were reported within 48 hours of first dose. Two hundred and twenty non-serious AEFI were reported within 48 hours of second dose. No AEFI was reported after 15 days for both the doses. We found no association of AEFI with sex and profession ( p >0.5). Significant association of AEFI was found with age ( p <0.01). CONCLUSION: Short-term AEFI were predominantly observed in first 48 hours. Incidence decreased in subsequent weeks with no occurrence after 15 days in both doses. Symptoms were mild in severity and short-lived. No serious AEFI attributable to vaccines were reported.

A cross-sectional survey to assess the knowledge regarding coronavirus disease (COVID-19) among health care professionals.

BACKGROUND: In late 2019, the world saw a viral outbreak of unprecedented scale that sent a significant fraction of humankind into either quarantine or lockdown. Coronavirus disease 2019 (COVID-19) is a respiratory tract infection caused by the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), which was first recognized in Wuhan, China, in December 2019. METHODS: We created and administered a 17-item questionnaire for health care professionals (HCPs) to assess their level of knowledge towards this ongoing and evolving pandemic. It was disseminated through Web- and mobile-based social networks. The questions were sourced and created from various standard national and international guidelines available at the time of writing. RESULTS: A total of 827 medical personnel participated in the study. Among them, 65.5% scored between 60% and 79%, indicating a moderate level of knowledge. There was no statistically significant difference in the scores of doctors, nursing officers and dental surgeons (p = 0.200). Participants had good knowledge regarding clinical symptoms, mode of transmission and preventive measures. But the study identified some gaps in knowledge in the implementation of management protocols, handling of dead bodies and biomedical waste management of COVID-19 cases. CONCLUSION: With this understanding, regular training, drills and knowledge dissemination along with skill development through learning correct practices focusing on HCP at all levels are the current needs.

Clinical Profile and Risk Factors for Severe Disease in 402 Children Hospitalized with SARS-CoV-2 from India: Collaborative Indian Pediatric COVID Study Group.

INTRODUCTION: There is a lack of large multicentric studies in children with COVID-19 from developing countries. We aimed to describe the clinical profile and risk factors for severe disease in children hospitalized with COVID-19 from India. METHODS: In this multicentric retrospective study, we retrieved data related to demographic details, clinical features, including the severity of disease, laboratory investigations and outcome. RESULTS: We included 402 children with a median (IQR) age of 7 (2-11) years. Fever was the most common symptom, present in 38.2% of children. About 44% had underlying comorbidity. The majority were asymptomatic (144, 35.8%) or mildly symptomatic (219, 54.5%). There were 39 (9.7%) moderate-severe cases and 13 (3.2%) deaths. The laboratory abnormalities included lymphopenia 25.4%, thrombocytopenia 22.1%, transaminitis 26.4%, low total serum protein 34.7%, low serum albumin 37.9% and low alkaline phosphatase 40%. Out of those who were tested, raised inflammatory markers were ferritin 58.9% (56/95), c-reactive protein 33.3% (41/123), procalcitonin 53.5% (46/86) and interleukin-6 (IL-6) 76%. The presence of fever, rash, vomiting, underlying comorbidity, increased total leucocyte count, thrombocytopenia, high urea, low total serum protein and raised c-reactive protein was factors associated with moderate to severe disease. CONCLUSION: Fever was the commonest symptom. We identified additional laboratory abnormalities, namely lymphopenia, low total serum protein and albumin and low alkaline phosphatase. The majority of the children were asymptomatic or mildly symptomatic. We found high urea and low total serum protein as risk factors for moderate to severe disease for the first time.

Clinical presentations and outcomes of children with cancer and COVID-19: A systematic review.

Information regarding the novel coronavirus disease (COVID-19) in pediatric oncology is limited. We conducted a systematic review of the available published literature on children with cancer affected by COVID-19. The last date of the study search was October 20, 2020, and 33 studies comprising 226 children were included for the final analysis. Data were extracted in a predefined data collection form, and the variables were extracted and analyzed. Patients with hematological malignancies were more in number. Males and children on intensive treatment were more frequently affected. Fever was the commonest symptom. The disease was asymptomatic/mild in 48% and severe in 9.6%. Consolidation, peribronchial cuffing, and consolidation with ground glass opacities were the common imaging findings. Hydroxychloroquine was the most frequently used drug for COVID-19. About 10% of children required intensive care, and about 32% had oxygen requirements. The percentage of children who died due to COVID-19 was 4.9%. The severity, morbidity, and mortality of COVID-19 in pediatric oncology were more compared to the general pediatric population. This information can help in risk stratification for the management of COVID-19.

Changing trends in surgical hair restoration: Use of Google Trends and the ISHRS practice census survey.

BACKGROUND: Hair loss affects most people at some point in their lifetime, causing anxiety and decreased self-esteem. There are multiple surgical and nonsurgical treatments available, with the surgical options having greater and longer-lasting effects. Such treatments have evolved over time with advances in technology and research, with numerous patients researching these treatments on Google. Many surgeons who provide these treatments belong to the International Society of Hair Restoration Surgeons (ISHRS). AIMS: To investigate trends in surgical hair restoration treatment from both the surgeon and patient perspectives. METHODS: Patient epidemiological and surgical data from the ISHRS were combined with search trend data from Google to analyze changing trends in surgical hair restoration treatment. RESULTS: Worldwide Internet searches for "hair transplant" have increased from 2004 to the present. Follicular unit excision (FUE) has supplanted follicular unit transplant (FUT) as the most popular hair transplant performed. Since 2004, there has been an increase in both nonsurgical and surgical female patients. Beard and eyebrow transplants have increased in popularity. Google searches follow this trend. Nonsurgical treatments such as platelet-rich plasma (PRP) are being searched more frequently. Hair restoration clinics and Google searches were affected adversely by the COVID-19 pandemic. CONCLUSION: Technological advances in available therapies, improvement in delivery systems, changes in hair fashion, and global events have direct impact on hair restoration treatments offered by physicians and researched by patients. It is in the best interest of all hair restoration providers to keep abreast of changing technologies and treatment trends to stay at the forefront of their profession.

The shifting preferences of patients and physicians in nonsurgical hair loss treatment.

BACKGROUND: There are multiple etiologies for hair thinning and loss, including genetic, hormonal, immune, scaring, and infectious. Hair loss treatment involves both surgical intervention and nonsurgical therapies such as pharmaceuticals, haircare products, vitamins, and low-level laser therapy (LLLT). While pharmaceuticals have been extensively researched, the efficacy of other therapies remains inconclusive. With so many available treatments, consumers often research their options using search engines such as Google and/or seek help from hair restoration physicians. AIMS: To identify and analyze changing trends in international consumer and physician interest in nonsurgical hair loss therapies. METHODS: Worldwide trends in Google searches of hair loss products (2004-2020) were compared with product prescription frequency surveys from members of the International Society of Hair Restoration Surgery (2004-2019, ~29% response rate). RESULTS: Minoxidil and finasteride were the most prescribed hair loss treatments, while "minoxidil" was the most "Googled" term. Generic products were searched more often than their brand counterparts. Nutritionals and haircare prescriptions increased over time. LLLT was also increasingly prescribed, with Internet searches increasing following government regulation announcements. The COVID-19 pandemic initially negatively affected hair loss treatment searches, which have since returned to, and surpassed, pre-pandemic levels. CONCLUSION: Regulations and social media have influence on consumer interest in hair loss products. A weak economy and coronavirus fears may persuade consumers to turn to cheaper hair loss treatment alternatives. Hair restoration specialists need to keep abreast of online trends to communicate effectively with their patients. Patients should be cognizant of the safety and efficacy of hair restoration treatments.