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The healthcare industry, as well as business and society, have been revolutionized by Artificial Intelligence (AI) and Machine Learning (ML). Currently, microbiology, biochemistry, genetics, structural biology, and immunological concepts have all seen significant advances. In contrast, the fields of bioinformatics have seen considerable expansion in order to handle this massive data influx. The field of bioinformatics, which tries to use computational methods for a better understanding of biological sciences, sits at the crossroads of data science and wet lab. Several innovative databases and computational techniques have been proposed in this sector to advance immunology research, with many of them relying on artificial intelligence and machine learning to anticipate complicated immune system activities, such as epitope identification for lymphocytes. Models based on machine learning skilled on specific proteins have provided inexpensive and quick-to-implement strategies for the discovery of effective viral treatments in the recent decade. Given a target biomolecule, these models can predict inhibitor candidates using structural data. The emergence of the coronavirus COVID-19 has resulted in significant network data traffic and resource optimization demands, rendering standard network designs incapable of dealing calmly with COVID-19's consequences. Researchers are encouraged by the use of Machine Learning (ML) and Artificial Intelligence (AI) in previous epidemics, which offers a novel strategy to combating the latest COVID-19 pandemic. © 2023 Scrivener Publishing LLC.
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Every individual wishes and desire to be in good health. In the existence environment it has become exceedingly unusual to maintain a good health. The era of CORONA virus compiled every country of the world to give healthcare highest ion all respect. An ideal response to such an epidemic is an IoT-based health score indicator. Real-time health score indicators built by using Internet of Things (IoT) is intended to relieve the stress and movement of ill and fatigued patients. The patients can quickly perform many necessary or obligatory medical tests on-site. In today's hectic society, the vast majority of people as well as patients prefer medical testing to be done at home. In this study, various tools were combined including the thermometer, blood pressure, glucometer, pulse oximeter, heartbeat, and ECG on a single unit. The sensors along with Arduino and LCD were merged to create a single gadget. Moreover, a server-based Android app will be developed to upload information about all the testing results which can makes the patient life easier. © 2023 IEEE.
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2020 will be remembered not only for the COVID-19 pandemic but also for introducing some entirely new concepts like "lockdown” and "social distancing” which brought the entire world to a standstill. Lockdown approach can have a wide range of implications not just on the economy but also on the physical, mental and social well-being of the people. We investigated the impact of 78 days nationwide lockdown in 2020 on profile of the post-mortem cases being brought for autopsy to the mortuary of King George's Medical University, Lucknow, India. Further 78 days of post lockdown period in 2020 were also included in the study and compared with the corresponding time periods in 2019. A total of 3657 cases were included in the study, 2042 in 2019 and 1615 in 2020. Adjusted odds ratios (aOR) with 95% confidence intervals (CI) from logistic regression modeling were used to compare the mortality due to different causes across the four study timeperiods. Deaths due to RTAs were significantly lower in the lockdown period (aOR = 0.59, CI 0.48, 0.73, p<0.001). An increase in deaths due to drowning (aOR = 2.27, CI 1.26, 4.11, p=0.007) and hanging (aOR = 1.56, CI 1.22, 2.18, p=0.008) was detected during the lockdown period compared to 2019 while odds of burn deaths were half (aOR=0.50, 95%CI 0.34, 0.75, p=0.001) during the lockdown period in 2020, compared to the equivalent period in 2019. We have shown significant differences in deaths due to different causes as a result of lockdown. An insight into these mortality patterns during the pandemic could be beneficial in future preparedness for the containment measures. © 2022,Journal of Indian Academy of Forensic Medicine.All Rights Reserved.
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Leprosy is the oldest disease affecting humankind since ancient times. Despite MDT's availability for disease curability, vast pockets of multi-bacillary (MB) cases persist in the community. We conducted this study to know the clinico-epidemiological trends of leprosy over four years and five months in this era of the COVID-19 pandemic (C19P). A total of 90 cases were registered;59 (65.5%) were males, and 31 (34.5%) were females. The majority (69%) of cases were in the 15-45 age groups. Childhood leprosy was detected in 3(3.3%) cases. A history of contact with leprosy patients could be established in 16 (17.8%) cases. The cases comprised 54.5% local inhabitants and 45.5% were migrants. The MB cases 77 out of 90 (85.6%) were in higher proportion than pauci-bacillary (PB) cases. In the clinical spectrum, BL leprosy was most common in 39% of cases, followed by LL and BT leprosy. Thirty-seven (41%) patients were suffering from lepra reactions (LR), and out of them, 59.4% had type 2 reactions (T2R), and the rest had type 1 reactions (T1R). Disabilities were found in a total of 56 (62.2%) cases, and grade 2 disabilities (G2D) were recorded in 25 (44.6%) patients. Ulnar nerve (UN) was most commonly affected nerve in 64.4% of cases, followed by lateral peroneal (LPN) and posterior tibial nerve (PTN). We observed the impact of Covid 19 infection peak C19P in two ways;firstly, during the C19P peak in 2020, there was a drastic fall in total registered cases (TRC) to 4/year against 22/year in pre-C19P with a relative increase in LRs and disabilities. In post-C19P peak periods, not only was there a marked rise in TRC (20/5 months), but LR (50%) and disabilities (75%) also showed a significant rise. A high proportion of MB cases, LRs and disability rates indicate the need for population-based studies and subsequent public health measures for early diagnosis and treatment. Further large sample-sized, in-depth studies can tell the exact impact of C19P on leprosy.Copyright © Hind Kusht Nivaran Sangh, New Delhi.
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The goal of the paper is to assess early economics impact of Covid-19 on the aviation industry as it is one of the hardest hit industries. Covid-19 has an unprecedented impact on the international passenger seat capacity and gross passenger operating revenues of airlines. In the first part, we look at the impact of the pandemic on the economy as a whole and subsequently look at the economic cost of airlines. Two main elements are driving this negative trend - travel restrictions and overall economic development. We are currently experiencing the tightest international travel restrictions in the modern era of flight transportation with the economies worldwide experiencing a greater decline in GDP than during the last 3 recessions. In the second part, we look at two out of many possible path scenarios which are likely to drive the trend: V-shaped path and U-shaped path. All pandemic outbreaks before followed V-shaped scenario but Covid-19 has paralyzed the society for longer with stricter governmental measures and so U-shaped scenario has to be taken into account as the most likely outcome for the aviation industry during this pandemic. Copyright © 2022 Ubiquity Press. All rights reserved.
ABSTRACT
The goal of the paper is to assess early economics impact of Covid-19 on the aviation industry as it is one of the hardest hit industries. Covid-19 has an unprecedented impact on the international passenger seat capacity and gross passenger operating revenues of airlines. In the first part, we look at the impact of the pandemic on the economy as a whole and subsequently look at the economic cost of airlines. Two main elements are driving this negative trend - travel restrictions and overall economic development. We are currently experiencing the tightest international travel restrictions in the modern era of flight transportation with the economies worldwide experiencing a greater decline in GDP than during the last 3 recessions. In the second part, we look at two out of many possible path scenarios which are likely to drive the trend: V-shaped path and U-shaped path. All pandemic outbreaks before followed V-shaped scenario but Covid-19 has paralyzed the society for longer with stricter governmental measures and so U-shaped scenario has to be taken into account as the most likely outcome for the aviation industry during this pandemic. Copyright © 2022 Ubiquity Press. All rights reserved.
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During this Covid-19-time number of patients in hospital are increased. The covid-19 patients are mainly of two types one who has a serious condition and the other who has a mild covid-19 symptom. On the other way, the patients who have very serious conditions generally have all facilities, they have doctors around them and other medical staff also there to take care of the situation, but the patients who have not very serious conditions are generally isolated in their home, a problem with this home isolated patients are they do not consult with doctor day to day and what happens if patients condition become serious basically this paper is going to solve this two problem and also monitoring the patients while getting different data like a heartbeat, SpO2, body temperature, etc. along with that we used a location sharing and nearest hospitals identification. Here we design IoT, GSM/GPS-based system through which we send the patients' health data directly to the hospital and if the patients' conduction becomes serious then it sends an alert to the hospital along with the patient's location and it also sends the hospital location to the patients. © 2022 IEEE.
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Since the start of the COVID-19 epidemic in 2020, the entire educational system has been challenging and Sri Lanka economic crisis, but this is especially effect for students who are now enrolled. This developmental milestone is reached when adolescents begin to assume responsibilities and acquire leadership skills through participation in a range of team activities. It is easiest to gain experience working in a group setting while still in school. Nevertheless, given the current stage of the Sri Lanka economic crisis, students will face a range of challenges. They are incapable of participating in group activities that are relevant to the subjects they teach, and, as previously indicated, enhancing their leadership skills, which is particularly problematic when working with students. The 'Peer Learning' solution is a web-based application that supports students in enhancing their collaborative learning skills. Through the system, students have the opportunity to study a variety of collaborative tasks, which improves their educational and interpersonal abilities. In addition, professors can share their knowledge with students by personalizing questions, posting films, and demonstrating figures. Students can easily comprehend the system's operation due to its user-friendly design, which enables advanced technological methods for monitoring and guiding students' activities simultaneously. © 2022 IEEE.
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Introduction: Media have never been as essential as it has become during the time of pandemic. Every information related to disease, prevention, and precaution was on media. Since most of the people confined to their homes, they used media not only to get the information about pandemic but also used media as companion, which enhanced the overall consumption of media significantly. This study aims to assess the changed consumption pattern of media in Indian population before and during the pandemic and its relation to the psychological well-being. Materials and Methods: It was a cross-sectional web-based survey. Four hundred and five respondents participated in it. Data analysis was done using descriptive and inferential statistics. Results: It was found that media consumption pattern and duration both have changed during the pandemic. There was a significant difference between before and after usage of all types of media. There was also significant difference for viewing media category in demographic subgroups, age (P = 0.000), marital status (P = 0.000), occupation (P = 0.000), and place of living (P = 0.036). Females (odds ratio [OR] =2.045, 95% confidence interval [CI]: 1.305, 3.203) and retired (OR = 0.039, 95% CI: 0.003, 0.470) were significantly associated with poor mental well-being. Respondents consumed media for sometimes (OR = 2.045, 95% CI: 1.557, 4.012) and frequently (OR = 4.946, 95% CI: 1.995, 12.264) were also associated with poor mental well-being. Conclusion: The study demonstrates the existence of poor mental well-being among women and retires more. It also demonstrates that people who preferred watching news more during the pandemic had the chance of suffering from poor mental well-being. © 2022 by the Author(s).
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Background: Elderly population represents the most vulnerable group with increased risk of developing severe COVID-19 infection and high mortality. More research is needed in understanding the complexity of disease due to limited data as only few studies have been conducted till date in India. Objectives: This study aimed to identify the epidemiological and clinical features among elderly population with COVID-19 infection at a tertiary care center, south India. Materials and Methods: A prospective, cross-sectional study was conducted among reverse transcription-polymerase chain reaction (RT-PCR)-confirmed COVID-19 elderly patients >= 60 years admitted at a tertiary care center in south India from June 2021 to August 2021 after the institutional ethical committee clearance. Their demographic and clinical data were collected and analyzed. Results: A total of 32 RT-PCR-confirmed patients of age >= 60years were included. Majority (62.5%) of them were in the age group of 60-70 years, and the mean age was 70.25 +/- 5.68 years. Females were predominant. Severe infection was found in 31.25% of the patients, and 56.25% had moderate infection. Hypertension (43.75%) was the predominant comorbidity followed by diabetes mellitus (34.37%). Cough (82%), dyspnea (70%), and fever (63%) were the most common presenting symptoms. The mean duration of symptoms to hospitalization was 4.7 +/-;2.09 days, with majority of patients presenting bilateral lung involvement. Conclusion: There is high prevalence of COVID-19 in the age group of 60-70 years, predominantly female patients. Cough and dyspnea are common presenting symptoms. Hypertension and diabetes are major comorbidities. Most patients presented with bilateral lung involvement and longer duration of symptom onset to hospitalization. High index of suspicion with preventive strategies is required for better healthcare in elderly patients.
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In the present article analysis of COVID on real estate in the Indian context has been developed. It has been detected that 53% of real estate investments fall during the phase of COVID. Here in the current analysis objective has been set for evaluating the impact of COVID on housing prices and equity share crunch. Primary data collection has been used for the data collection process. 100 Indian real estate owners and industrialists have been selected by using simple random sampling. From the data analysis, it has been noticed that developed policies and poor resources makes pressure on the real estate market in the Indian context. Copyright © 2023 Ubiquity Press. All rights reserved.
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Introduction: Given the mortality and morbidity caused by the Coronavirus Disease 2019 (COVID-19) and the lack of therapeutic options, the need for vaccines has become inevitable. Knowledge about covid infection after vaccination and vaccine-related side-effects are essential to educate people and avoid myths about vaccination. Aim(s): To evaluate the side-effects and incidence of COVID-19 in vaccinated people, and to compare the side-effect profile and postvaccination incidence of the infection. Material(s) and Method(s): This cross-sectional, email-based, survey was done from 1st July 2021 to 31st July 2021 at Guntur Medical College, Guntur, Andhra Pradesh, India. A total of 920 people were sent emails about the details and questionnaire of the study. All COVID-19 vaccinated and those who were more than 18 years of age were included in this study. A total of 506 subjects responded. Total 18 questions in the English language were there. The questions were about demographics, co-morbidities, the name of vaccine taken, postvaccination adverse effects, and COVID-19 positivity. Result(s): Of the 506 vaccinated subjects, 287 (56.71%) received Covaxin, 203 (40.11%) received Covishield and 16 (3.16%) received other vaccines (BioNTech COVID-19 Vaccine-8, Sputnik V-3, Spikevax-5). The mean age of the participants was 37 years, and 45.2% (229) were females and 54.8% (277) were males. Side-effects were reported by 73.1%, and 65.17% of individuals after the first and second doses of Covaxin, respectively, compared to 84.7% and 62.5% after Covishield. Local pain and tiredness were the most common symptoms after Covaxin and Covishield. Conclusion(s): Local pain and tiredness were the most common side-effects of Covaxin and Covishield vaccines. The number of participants in other vaccine groups was very minimal to study and compare their effects. Overall, the vaccines are safe and seem to show protection, although mild side-effects can be observed, which are usually non fatal. No difference in the incidence of infections was observed between vaccine groups. Copyright © 2022 Journal of Clinical and Diagnostic Research. All rights reserved.
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Technology development plays a vital role in every aspect of life, whether it is in the medical domain or any other era. In the present scenario, scientists, researchers, and healthcare experts are still looking for a new technology against Air-Borne Disease(ABD) over the world. The use of Artificial Intelligence (AI) has encouraged researchers by providing a modern approach for combating Air-Borne diseases. The current study reviews approximately 145 papers for the literature review that insights AI-based application technology to prevent ABD. For this purpose, the current study discusses ideal epidemiology study, early disease diagnosis, and its progression concerning ABD. Although the reviewed AI application-based methods for ABD control are promising, this review suggests research that integrates ML advances should be done. ML techniques may lead to success in controlling the ABD if these suggestions are implemented. Finally, this study addresses the obstacles and opportunities for future research. © 2022 IEEE.
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In the absence of a vaccine, timely and accurate COVID-19 coronavirus identification is essential for avoiding and managing the pandemic through immediate quarantine and medical treatment. The growing number of COVID-19 patients around the world, along with the limited number of available testing kits, makes detecting the condition difficult.Using current deep learning models, we analyze X-ray pictures and classify them as positive or negative for COVID-19 in this work (VGG19 and VGG16). The suggested method contains a preprocessing stage with data augmentation, which removes irrelevant information from the environment that could lead to biased findings following that, the classification model is trained using a transfer learning strategy using various location X-rays. © 2022 IEEE.
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There is a worldwide pandemic state of affairs comes with the increase of severe acute and chronic respiration syndrome coronavirus a pair of from China has affected human lives. it's supplied with symptomless, mild, or intense pneumonia-like signs with within the worldwide pandemic Coronavirus disorder 2019 (COVID-19). We tend to summary immune disorder in reaction to SARS-CoV-2 contamination and re-current comorbidities impact on the advance of COVID-19. Coronavirus is supplied with several infectious diseases. The intention of this observe became to assess the among comorbidities and disorder in COVID-19 sufferers, having a operate with within the exacerbation method. Coronavirus is supplied with, main to deadly effects. Peoples square measure has inflamed further than eight. 1 million America voters and killed further than 221 000 with within the worldwide pandemic Coronavirus disorder 2019 (COVID-19). throughout the studies on observe completely} totally on medical specialty and get on my feet with scientific effects in America sufferers with world pandemic COVID-19 comes with massive dying of sufferers. It offers with within the large majority of sufferers that get on my feet with various comorbidities, that embody top-grade fever, high blood pressure, headaches, ischaemic coronary heart disorder, raw throat, persistent preventative respiratory organ disorder and in addition happens within the KCDC... it's notable that reasons of dying are straight off related to COVID-19 with within the bulk of decedents, throughout studies we discover that, at identical time as they got in to look currently not to be a probable fast effect of pre-current fitness things and various comorbidities that have a control on the COVID-19 sufferers.
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Background: COVID 19 pandemic created immense mental & physical agony among human beings worldwide. The present study was conducted to assess the physical, mental, social and spiritual wellbeing of young adults and the elderly, during the lock-down phase of COVID-19. Methods: The cross-sectional study was conducted among 227 healthy adults in Bhubaneswar, capital of Odisha. Data was collected using a self-administered questionnaire pertaining to the physical, mental, social and spiritual health of participants. Results: During the lockdown, around two-thirds (65.4%) of the participants reported feeling helpless. The elderly felt more helpless than the young adults. One-third (73, 32.6%) of the participants experienced health issues during the lockdown period. The majority of the study participants (83.8%) mentioned that their family members shared tasks during lockdown which was a very positive sign observed in this study. Faith in God for the elderly and family support for the young adults made them mentally stronger. Conclusion: Managing pandemic needs a multipronged approach. But focusing on psychosocial health will prevent future unseen mental health pandemics and improve the resilience of mankind. © 2022, Indian Association of Preventive and Social Medicine. All rights reserved.
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Background: With the aim of preventing the spread of coronavirus disease 2019 (COVID-19), teledentistry allows for the follow-up of patients who can be remotely monitored, decreasing patient mobilization and reducing the risk of virus dissemination. The aim of this cross-sectional pilot survey was to assess patients' perception and acceptance of a teledentistry program during the COVID-19 pandemic. Materials and Methods: Demographic characteristics of the patients were recorded, and a 24-question survey was completed. A Chi-square test and an analysis of variance (ANOVA) test were performed with a significance level set at P ≤ 0.05. Results: Forty-eight percent patients declared an interest in the use of a teledentistry. Furthermore, 45% participants preferred this type of visit to a conventional dental visit. Conclusion: Our study showed that teledentistry appears to meet the expectations and needs of our patients.
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Background: The Covid-19 era has caused the shifting of medical teaching into an Online podium. This has provided us with an excellent opportunity to recognize MBBS-students’ preferences of these Online classes which otherwise did not form a significant part of the traditional medical teaching. We have undertaken online classes for theory & practical for the first time in our medical college at GMC Jammu. So the current study was conducted to assess & analyze the preference of first-year MBBS students between online classes & traditional classroom teaching. Objectives: To evaluate the predilection/inclination of first-year MBBS students between online classes and traditional classroom teaching. Materials & Methods: An institution-based descriptive cross-sectional study was performed on 180 MBBS students of 2020-21 batch at the Department of Physiology in GMC Jammu, after receiving Institutional ethics committee (IEC) clearance who have attended online classes for a minimum of 1 hour per day or 6 hours per week for 1-month duration using zoom or other video-based learning platforms. A pre-structured questionnaire-based feedback study was conducted after obtaining written consent from the first-year MBBS students. We designed a total of 24 questions related to their theory & practical classes, for assessing their preference for Online classes in comparison to traditional classroom teaching with multiple-choice options. Results: In our study, we found that overall, 61.11% of MBBS students prefer traditional classroom teaching over Online classes and 60% of students prefer traditional teaching methods over online learning for practical classes. However, 50% of students reported that accessibility to stable internet was causing difficulty in following Online classes. Moreover, 53.89% of students reported that they get distracted at home during Online classes. Further, 66.11% of students mentioned a lack of personal interaction & lonely experience on the Online platform. Conclusion: In our study, we found that medical students prefer the traditional teaching method to the Online platform for learning as well as examination. For better understanding and learning, the first phase of MBBS students prefers that traditional classroom teaching should be followed by Online classes that can be easily accessed by students at their convenient time. In this study, the majority of medical students reported limited access to stable internet, distractions & disturbances in the domestic environment, & lack of personal interaction as the barriers to Online learning.
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Background:Mucormycosis has been increasingly described in patients with covid 19 2nd wave (delta variant) which is a highly contagious disease caused by SARS-COV-2 is the leading cause of global pandemic. AIM AND OBJECTIVES: To evaluate etiology, indications, management options and complications in patients managed with endoscopic and external maxillectomy after mucormycosis, to evaluate the incidence and distribution of cases who had extensive mucormycosis and to evaluate the outcome of the management options. Materials and Methods: This is a prospective study done in 30 cases at a tertiary care centre.All the patients were subjected to detailed history taking, clinical examination, endoscopic, radiological, pathological, microbiological investigations after taking informed consent. Patients with age group(30yrs -70yrs) who presented with ROM with extensive maxillary sinus involvement and destruction of different walls of the maxillary sinus were managed with different types of maxillectomies. Results: In this study, 30 cases of post covid rhinoorbital mucormycosis who presented to our hospital were studied, among male 24(80%) & females6 (20%).12 patients (40%) were in 5th to 6th decade and 9 patients (30%) in 4th to 5th decade.Main presenting features were unilateral cheek pain, cheek swelling, nasal obstruction, loosening of teeth, tooth ache, cheek numbness, headache, periorbital edema, visual disturbances being present in 95% of the patients.5% presented with epistaxis, ptosis, diplopia alone.90% patients were known case of diabetes milletus,10% are denovo diabetes.All the patients were subjected to routine blood investigations, microbiological, radiologicalinvestigations.(CT, MRI contrast- PNS, Orbit & Brain).Most commonly seen in males 80%. 1 patient had to undergo orbital exenteration,3 patients underwent palatal resection. Conclusion: Debridement of sinuses is necessary in all cases of mucormycosis so that the fungal reservoir could be removed and the antifungal therapy can reach the viable areas. Therefore the management of mucormycosis is individualised to each patient based on the extension of the disease and overall general conditon of the patient.