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Background: The Coronavirus Disease (COVID-19) pandemic continues its deadly reign all over the world. Devising effective strategies for detecting and controlling the infection has become ever more critical. Effective prevention and control of the pandemic is entirely dependent on human behavior in terms of practicing preventive and curative measures. During the second wave of COVID-19, people's perceptions of preventive and curative measures changed.Objective: To study healthcare-seeking behavior of hospitalized COVID-19 patients.Methods: Hospitalized patients due to COVID-19 in the month of March, April and May of 2021 were included in the study. Their attendants/close relatives were contacted telephonically to know about the admitted patients' healthcare-seeking behavior. Verbal consent was taken from attendants before the commencement of the interview, followed by informing them about the purpose of the interview.Results: Amongst the subjects, there were more males than females (67.5 vs 32.4%), age ranged between 18 to 88 with a mean value of 56.61 +/- 14.7 years. Self-medication was significantly associated with study subjects' mortality (p=0.03).Conclusion: Elderly people were having higher mortality rate than their younger counterparts. People were hesitant to visit primary care physicians after having symptoms of COVID-19.
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Face recognition in the industry now is playing an important role in each sector. Each person has different type of features and face;therefore, each identity is unidentical. In this COVID outbreak, a major crisis has occurred due to which preventions are to be made. One such prevention is use of a face mask which is very much important. Nowadays, various firms and organizations are using facial recognition systems for their own general purpose. We all know that it has now been a crucial task to wear a mask every time, when we go somewhere. But as we know it is not possible to keep track of who wears a mask and who does not. We make the use of AI in our daily life. We achieve this with the help of a neural network system, which we train so that it can further describe people's features. Even though the original dataset was limited, the Convolutional Neural Network (CNN) model achieved exceptional accuracy utilizing the deep learning technique. With the use of a face mask detection dataset that contains both with and without face mask photographs, we are able to recognize faces in real-time from a live webcam stream using OpenCV. We will develop a COVID-19 face mask detection system using our dataset, along with Python, OpenCV, Tensor Flow, and Keras. © 2022 IEEE.
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The data age information is considerably more significant in open life, since individuals' well-being information just concluded regardless of whether COVID-19 impacted, and furthermore connected with all medical problems information. These information used to examine and anticipate the medical problems information by Machine Learning Algorithm, and afterward anticipated information need greater security. In this way, we applied the current strategy ChaCha technique and that strategy zeroed in as it were "encryption execution” so security is less. In this paper, to apply the new ES-BR22-001 strategy, this technique has 7 stages. The 1st stage is finding the K value. The 2nd stage is applying the K value in Eq. (1). The 3rd stage is finding the Sk values by using Eq. (1). The 4th stage is applying the Sk values in the sparse matrix. The 5th stage is sparse matrix values are converted into single line. The 6th stage is pairing all the values. The final stage is all paired values will be applied in the matrix. The new ES-BR22-001 method provides security and performance is good while compared to ChaCha method. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
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This paper describes the emerging role of robots in health care and integrated environments with special concerns related to the management and control of the spread of novel coronavirus 2019. The primary use of such robots is to reduce human interaction and ensure cleanliness, fertility, and support in the hospitals and facilities such as isolation. This will lead to a reduction in the life-threatening risk for medical professionals and physicians who have played a significant role in the management of infectious diseases like coronavirus. The purpose of this work is to highlight the importance of medical robots in general and to link their use in the field of medical assistance so that hospital administrators can use the medical robots for different treatment processes. The work involves the design and development of an AUTONOMOUS and IoT CONTROLLED MEDICAL ASSISTANCE ROBOT (AIMED), which is designed as a potential answer for any irresistible ailment, particularly for Coronaviruses Outbreak. AIMED ROBOT is utilized to limit individual to-individual contact and to guarantee cleaning, sanitization and backing in emergency clinics and comparable offices, for example, food and medication conveyance in isolate emergency clinics/offices. Voice communication can also be established between the control room and patient through a wireless network. This data is sent to the doctor and staff using a communication network that helps in monitoring the patient's condition without human interaction. Hand Sanitization, food delivery and waste collection system are also provided in the robot for quarantine zones. This is despite the popularity of telemedicine, which also applies to similar situations. In fact, the recent success of the Korean and Chinese health sectors in gaining effective control of the coronavirus epidemic would not have been possible without the use of state-of-the-art technology. Background(s): In the quick advancement of innovation, there are numerous sorts of robots with different details and capacities. The AIMED Robots are being developed for hospitals to deliver medicines, food and for taking live data from the patient directly. A few issues are confronted in regards to the limitation of explicit places around and inside the clinic because different robots were utilizing landmark recognition. Moreover, the issues faced when the robot is to convey things to any patient from any place should be taken care of. Objective(s): The objective of this work is to highlight the importance of medical robots in general and to link their use in the field of medical assistance so that hospital administrators can use the medical robots for different treatment processes. Method(s): The work involves the design and development of an AUTONOMOUS and IoT CONTROLLED MEDICAL ASSISTANCE ROBOT (AIMED), which is designed as a potential answer for any irresistible ailment particularly for Coronaviruses Outbreak. Result(s): AIMED Robot goes through three testing stages. In the final stage, one complete embedded system is designed by embedding each tested sub-system and then this final embedded system is tested. All the project goals, which were planned as 'Solution to Problem Statement', have been achieved properly. Conclusion(s): This paper provides an overview of the robotics and therapeutic potential of robotics in specific environments with COVID-19 epidemic control. The AIMED robot introduced in this paper is a piece of emergency clinic and care focus computerization framework. Multiple patients are placed for stop-over and doctor's prescription regarding patient health. It can be very useful to counter infectious diseases like SARS, MERS or Covid-19 etc. This work confirms that the introduction of medical robots has significantly increased the safety and quality of health care systems compared to manual systems due to the digitalization of health care.Copyright © 2021 Bentham Science Publishers.
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The changing scenario between society's lookout toward the medical profession has taken a bad turn. The stress of education, practice starting, increasing to a peak of one's performance in the early years and later on to maintain it after the age of 50 is a great challenge. Recent tragic events have brought up the role of social elements, media, press, politicians, police, and prosecutors under the lens. We as professionals and organizations must find out the weakest link which enforces someone to indulge in self-harm. We also should try to strengthen the chain of healthcare delivery system with the motto of "A healthy physician only can impart quality healthcare. His image, interests, and intentions must be protected by our own profession, society, policymakers—government agencies.” Doctor–patient relationship has always been the foundation of healthcare system. Since the times of Hippocrates, relationship of doctor–patient has been extensively debated, receiving attention pertaining to its sociological, literary, and philosophical aspects. At present, doctor–patient–society relationship is undergoing a progressively dangerous phase of distrust leading to increased violence against doctors. Especially after the spread of coronavirus disease pandemic in December 2019 (COVID-19), giving an altogether new dimension to it. The tragic suicide of Dr Archana Sharma has brought doctor–patient relationship into focus, whether positive? Or negative? Who is to decide? Over the last 2 decades, the trust which was gained over centuries and cultivated the relationship of doctors and their patients has started eroding and has been demonized during COVID-19 pandemic outbreak. © 2022 Journal of Association of Physicians of India. All rights reserved.
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Rapid antigen test has a very important value as one of tools to address the Covid pandemic. Though this test is not as accurate as polymerase chain reaction (PCR) testing. As viral antigen appears before antibody formation in infected person. It is a specific marker of virus. Therefore, for detection of this highly infectious disease at an early stage, viral antigen testing can be a useful strategy in scenario of community transmission to prevent further spread. In India an advisory was issued by ICMR (on 14th June 2020) regarding usage of RAT for quick detection of COVID-19 positive patients. During second wave, Rapid antigen testing was advised only in symptomatic individuals and immediate contacts of laboratory confirmed positive cases. Though no test is perfect when it comes to the attributes of accuracy, accessibility, affordability, and timeliness of results. However, Rapid antigen test can be used as a useful test in public health that can benefit the larger population in breaking the chain of transmission if used wisely in different settings and according to the timeline of symptoms. © Medical Journal of Dr. D.Y. Patil Vidyapeeth 2022.
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Background: Covid 19 is a newly emergent contagious infectious disease caused by severe acute respiratory syndrome (SARS) - Cov-2 virus that was not found previously in human which belongs to a large family of corona virus. The severity of the disease is altered by alteration of biochemical parameters. This study aims to evaluate somehematological and biochemical parameters in Covid 19 patients admitted at dedicated Covid 19 hospital. To determines hematological and biochemical parameters in Covid 19 patients. Material and Methods: Present study comprised of 70 Covid 19 patients who admitted at dedicated Covid 19 ward during second wave. They include 22 female and 48 male subjects aged between 15 - 75 years. The data was entered in MS EXCEL spreadsheet and analysis was done using Statistical Package for Social Sciences (SPSS) version 25.0.
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COVID-19 is one of the most dangerous forms of diseases which is caused by corona virus. It is a highly transmissible disease. WHO has already declared it as a pandemic.Therefore at the current scenario, due to outbreak of this pandemic (COVID-19), face masks has become the necessary tool of everyone to avoid spread of disease to some extent. There has been a great demand for the development of software which can easily recognize person who is wearing a mask. Therefore we are going to develop a system which will fulfill the need using Deep Learning. We will use convolutional neural network to train our model. Here two categories of dataset will be used. The one which contains set of images of faces with mask and the other without face masks We will train the program with this data set to learn to decide whether a person's face is masked or not. OpenCV, tensorflow and keras will be used for the real time face detection with live stream through web camera. After the successful deployment of the product, we will be able to design a software which can be installed at various places such as at the entry gate of colleges, railway stations , air ports , temples, hotels and shops etc. This will easily detect the persons who are entering without face masks by using cameras of the systems. Hence this product is the need of the hour for us to develop so as to work for the safety of humans. © 2021 IEEE.
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Introduction: Coronavirus disease 2019 (COVID-19) pandemic has adversely affected people's physical and mental health necessitating a comprehensive public and mental health strategy focusing on venerable populations including Health Care Professionals (HCPs). Anxiety is a common mental health problem and untreated anxiety may cause immediate and long-term adverse health effects. Currently the data on the psychological impact of COVID-19 among specialities of HCPs is sparse. Aim: To study the prevalence of anxiety and its severity among different specialties of HCPs during COVID-19 pandemic. Materials and Methods: This cross-sectional survey was conducted among HCPs from 1st October, 2020 to 20th February, 2021 at Kishori Ram Hospital and Diabetes Care Centre, Bathinda, Punjab, India, during COVID-19 pandemic in India using E-copies and hard copies of anonymously complete voluntary survey proforma. The proforma included socio-demography variables and a validated pretested structured Generalized Anxiety Disorder Scale (GAD-7) questionnaire distributed physically and by social media platforms to Indian doctors and medical students of >18 years of age from all over India. From all responses received, 2246 were found to be valid responses from HCPs comprising of 1624 from medical specialities, 225 surgical specialities, 101 emergency/critical care specialities and 296 from students/dental speciality. No HCPs other than doctors with valid MBBS/BDS degrees or MBBS/BDS students were included. Valid responses were analysed according to the speciality in relation to prevalence of anxiety, its severity, age and gender. Mann-Whitney Test was used to compare GAD-7 score among different specialty group. Results: About 972 (43.3%) were in 20 to 40 years age group including 655 (67.4%) medical, 42 (4.3%) surgical, 37 (3.8%) emergency/critical care and 238 (24.5%) from students/dental speciality. Male HCP were 1513 and female HCP were 733. Prevalence of anxiety was 79.3% among all HCPs. According to gender groups prevalence of anxiety was 78.1% in males and 81.6% in females. According to age groups the prevalence of anxiety was 81.3% in 20-40 years age group, 81.6% in 41-60 years and 61.5% in >60 years age group. Among specialities prevalence of anxiety was 78% in medical speciality group, 86.7% in surgical speciality group, 92.1% in emergency/critical care group and 76.4% in students/dental speciality group. Results showed maximum mean score in emergency/critical care speciality group and minimum mean score in medical speciality group. Conclusion: High prevalence of anxiety and its severity among HCPs across specialities highlights the adverse mental health impact of the COVID-19 pandemic underscoring the need for appropriate mental health support with multidisciplinary comprehensive mental health care measures.
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Introduction: Most effective way to defeat the Coronavirus Disease-2019 (COVID-19) pandemic is mass vaccination to achieve herd immunity which requires vaccination of about 80% of the population. Aim: To compare the effect of non incentivised and incentivised free COVID-19 vaccination camps on augmentation of state's efforts in achieving vaccination targets of covering 80% of population. Materials and Methods: Free COVID-19 vaccination camps, both non incentivised (8 days) and incentivised (8 days), were organised in month of June and July, 2021 at a hospital in association with an NGO under the supervision of District Immunisation Officer. The retrospective observational study was done and data of all vaccinations done was compared to document the effect of incentivised free vaccination camp as compared to non incentivised camps. Data was represented as frequency, percentage and Chi-square test was used. Results: Total of 4111 vaccinations were done during the free vaccination camps, including 1406 during non incentivised and 2705 during incentivised camps. During non incentivised camps 1114 people were given 1st dose and 292 were given 2nd dose, while during incentivised camps 2334 people were given 1st dose and 371 were given 2nd dose. Analysis of the data showed that the difference in number of 1st dose and 2nd dose vaccinations done during the incentivised vaccination camps was statistically significantly higher as compared to the number of 1st dose and 2nd dose vaccinations done during non incentivised vaccination camps. Similar results showed that the difference in number of vaccination done among the age groups of 18-44 years and >44 years during the incentivised vaccination camps was statistically significantly higher as compared to the number of vaccination among the age groups of 18-44 years and >44 years done during the non incentivised vaccination camps. Conclusion: The present study documented statistically significantly higher number of 1st dose of vaccinations, 2nd dose of vaccinations, vaccinations among 18-44 years age group and >44 years age group done during incentivised vaccination camps as compared to non incentivised vaccination camps. Results of the present study suggest that incentivised vaccination campaigns should be incorporated as an important component of COVID-19 vaccination campaign strategy to vaccinate enough Indian population and achieve herd immunity for protection from COVID-19 pandemic.
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Background: Since late 2019, COVID-19 infection has quickly spread substantially in all countries, forcing the appropriation of noteworthy lockdown and social separating measures. It has been considered as a pandemic by the World Health Organization. Positive pressure ventilation is a non-physiological and invasive intervention that can be lifesaving in COVID-19 patients. Similar to any other interventions, it can cause its own danger and complications as it can prompt ventilator-induced lung injury and barotrauma. The aim of the work was to identify the incidence of invasive mechanical ventilation complication in COVID-19 pneumonias, and to describe patient characteristics and patterns of barotrauma in COVID-19 patients. Results: This retrospective study included 103 patients with COVID-19 pneumonia, 76 males and 27 females are on invasive mechanical ventilation. Their mean age was 56.6, ranged from 21 to 85 years old. Barotraumas event type in the studied patients, (NB: one or multiple barotrauma events occurring on the same day were considered as single event (95/103 patients-92.23%), while separate multiple events (8/103 patients-7.77%) were recorded when occurring separated by at least 24 h). Single barotrauma events were subdivided into: one event (67/95 patients—70.53%), & multiple events (28/95 patients—29.47%). The mean interval between invasive mechanical ventilation and developing barotraumas was 3–7 days included 41 patients (39.98%). We revealed a strong prevalence of COVID-19 IMV complication with worsening prognosis and subsequent higher death rates in elderly smoker or obese males, as well as those suffering from ARDS. Past medical history (hypertension, DM, chronic renal or cardiac disease) or surgical history of CABG was more liable for these types of complications. Conclusion: Patients with COVID-19 pneumonia were more liable to the higher incidence of barotraumas with presence of predisposition and high risk factors. In general, an outstanding bad prognostic outcome and a significantly high mortality rate prevailed in COVID-19 patients associated with mechanically ventilated patients. © 2021, The Author(s).
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Background & Objective: Proper mask wearing reduces the transmissibility and risk of Covid-19 infection still compliance to mask use is low. This study was conducted to observe the mask usage pattern, perception and barriers to effective mask usage (EMU). Settings and Design: This cross-sectional study was conducted in collaboration with district police administration to observe mask usage pattern in various crowded places. Methods and Material: Participants from general public (n=6995) in 10 preselected areas of city were observed and then interviewed about their perceptions about EMU. Indirect observation of EMU was also done by screening CCTV footage, followed by another set of observation at same places after conducting a health education campaign. Data was entered in Microsoft excel and analyzed using SPSS. P value <0.05 was considered significant. Results: EMU was seen in nearly 62% participants. Younger age, native population, education above matric, persons driving two & four wheelers, had significantly higher compliance. During CCTV observation, EMU was 57.5%, and was highest near public places, roads and intersections while lowest near bus stand and religious places. Some improvement in compliance was seen after health education at these places. Breathing difficulty, no use of wearing mask and feeling uncomfortable were the most common reasons given by participants for non-compliance. Conclusions: EMU was lower in elderly, migrants, less educated, unemployed, daily wage workers, so these groups should be especially sensitized about preventive measures. There is need for extensive public education to bring out behavioral change regarding proper mask wearing to control this pandemic and prevent further waves. © 2021, Indian Association of Preventive and Social Medicine. All rights reserved.
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Severe acute respiratory syndrome corona virus-2 (SARS-CoV-2), a novel coronavirus initially reported in Wuhan, China, is the causative agent of coronavirus disease (COVID-19) pandemic. Symptoms of the disease comprise of fever, tiredness, dry cough, aches and pains, nasal congestion, runny nose, sore throat, diarrhoea and pneumonia at the late stage. SARS-CoV-2 has severely crippled the healthcare system and has caused huge economic losses. Following the outbreak, the SARS-CoV-2 was recognized timely and its genome was sequenced, leading to the development of real-time polymerase chain reaction assays for its detection in clinical samples collected from suspected cases. The management of the pandemic is limited by a number of misconceptions and insufficient information about laboratory testing for SARS-CoV-2 to confirm the disease. This includes a lack of awareness about procedures for the collection, transport, testing, and handling of biological samples for COVID diagnosis. This article provides an overview of the current laboratory diagnostic methods with a purpose to provide information and guidance to laboratories, stakeholders, broader community and especially public health professionals involved in laboratory testing for SARS-CoV-2.
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Studies available in the literature have shown alterations in blood coagulation tests in severe cases of COVID-19 pneumonia, with a significant risk of venous thromboembolism (VTE). Since microvascular thrombosis is a well-known fact in COVID-19 disease, requiring therapeutic anticoagulation, low-molecular weight heparin (LMWH) in prophylactic dose is a part of the clinical management of hospitalized COVID-19 patients. In this scenario, we describe three cases of abdominal spontaneous retroperitoneal hematoma (SRH) in hospitalized reverse transcriptase-polymerase chain reaction (RT-PCR)-confirmed COVID-19 patients.
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Background: Corona virus disease 2019 (COVID-19) pandemic—as declared by the World Health Organization—is a major threatening public health problem. At the time of writing, more than 60,000,000 patients and more than 1,500,000 deaths were recorded worldwide. Besides the classical chest symptoms, gastrointestinal tract-related symptoms were noted, like diarrhea, abdominal distention, and hematochezia, adding more difficulties in the diagnosis of the disease. Although there are many publications evaluated, the thoracic imaging signs and complications of COVID-19, there are few articles—to the best of our knowledge—that evaluated the gastrointestinal tract imaging features and complications related to COVID-19. Results: In this retrospective study, positive COVID-19 patients who underwent diagnostic computed tomography (CT) for abdominal complaints along a 3-month duration in a large isolation hospital were evaluated. Strict infection control measures were taken during the CT examinations. The data were reviewed on picture archiving and communications systems with clinical data and laboratory result correlation. Thirty patients (30%) showed gastrointestinal (GI) findings, and 70 patients showed unremarkable or non-related GI findings. The 30 patients were classified into four groups: the ischemic group including 10 patients (10/30: 33.33%), the bleeding group included six patients (6/30: 20%), the inflammatory group included nine patients (9/30: 30%), and fluid-filled bowel group included five patients (5/30: 16.6%). Conclusions: COVID-19 should be evaluated as a systemic disease with extra pulmonary highlights. GI imaging should be considered for COVID-19 patients with related suspicious symptoms. Ischemic GI complications were the most common GI findings. © 2021, The Author(s).
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A novel coronavirus (SARS-CoV-2) is an unusual viral pneumonia in patients, first found in late December 2019, latter it declared a pandemic by World Health Organizations because of its fatal effects on public health. In this present, cases of COVID-19 pandemic are exponentially increasing day by day in the whole world. Here, we are detecting the COVID-19 cases, i.e., confirmed, death, and cured cases in India only. We are performing this analysis based on the cases occurring in different states of India in chronological dates. Our dataset contains multiple classes so we are performing multi-class classification. On this dataset, first, we performed data cleansing and feature selection, then performed forecasting of all classes using random forest, linear model, support vector machine, decision tree, and neural network, where random forest model outperformed the others, therefore, the random forest is used for prediction and analysis of all the results. The K-fold cross-validation is performed to measure the consistency of the model. © 2018 Tsinghua University Press.
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The pandemic COVID-19 is a highly infected disease caused by a novel coro-navirus or SARS-Cov-2. The virus was reported for the first time December 2019 in, China’s Wuhan province. Later the virus has broken down into the world and claimed millions of lives. In India, the disease was reported for the first time in Kerala on 30th January 2020. a cross-section one group pre-test & post-test research design was used among the 40 final year BSc nursing stu-dents, College of Nursing SGPGIMS, Lucknow India. Samples were selected based on purposive sampling technique and sample criteria. An instrument, the first tool included demographic characteristics Similarly, second instrument used for knowledge assessment. After pre-test assessment, a teaching session was held at the seminar room, college of nursing SGPGIMS Luc-know, India. Subsequently post assessment was held after intervention. A total of 40 participants responded to the study. Demographic variables like 30(75%) participants had less than 22 years of age, 22(55%) were girls, 14(35%) families income found INR 10000-15000, and the majority of participants obtained COVID-19 related knowledge from news paper16(40%). A gender was found significant with pretest knowledge, and other variables weren’t found significant (P=0.05). Knowledge mean & standard deviation in pre & post-intervention, 11.90±2.16 vs15.82±1.39. The mean difference was found in a pre-test & post-test-1 &post-test-2, 3.9, 5.02, & 1.1, respectively. The effectiveness of the training program was checked by paired t-test-10.20 &-13.93, P=0.00. The study revealed that the teaching session was efficient in the COVID-19 program among BSc nursing students.
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Background: In December 2019, a large outbreak of a novel coronavirus infection occurred in Wuhan, China. The pneumonic disease caused by this virus is called coronavirus disease 2019 (COVID-19) by the World Health Organization (WHO). As case numbers have increased worldwide, gastro-intestinal symptoms like diarrhea, constipation, abdominal pain, and vomiting have been increased, these symptoms associated with positive laboratory results including abnormal liver function tests, renal function tests, and D-Dimer levels. Although there are multiple articles evaluated the imaging findings in HRCT of COVID-19 patients that helped in understanding the disease course and potential complications in the chest, yet there are—to our knowledge—limited data about the abdominal imaging findings of the course and potential abdominal complications of COVID-19 notably in the intensive care units (ICU). Results: Forty-one sonographic examinations were done for 30 confirmed COVID-intensive care patients presented with abdominal symptoms. Of the 30 patients, 26 were males (86.66%), and 4 were females (13.3%), the average age of the patients was 57.7 years old. The most common sonographic observation was hepatomegaly (n, 23/41, 56%) and biliary system disease (n, 17/41, 41.4%);the imaging findings were correlated with the clinical and laboratory data. CT examination when indicated (in our study to assess hematomas for active extravasation and to assess bowel obstruction and its level). Conclusion: Abdominal sonographic imaging was often performed for inpatients with COVID-19. Hepatobiliary dysfunction as well as nephropathy was the most common imaging findings.
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An echocardiographic investigation is one of the key modalities of diagnosis in cardiology. There has been a rising presence of cardiological comorbidities in patients positive for COVID-19. Hence, it is becoming extremely essential to look into the correct safety precautions, healthcare professionals must take while conducting an echo investigation. The decision matrix formulated for conducting an echocardiographic evaluation is based on presence or absence of cardiological comorbidity vis-à-vis positive, suspected or negative for COVID-19. The safety measures have been constructed keeping in mind the current safety precautions by WHO, CDC and MoHFW, India.