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2.
Journal of Family Medicine and Primary Care ; 11(5):1883-1889, 2022.
Article in English | GIM | ID: covidwho-1875934

ABSTRACT

Background: Since the novel SARS-CoV-2 has been detected and the ensuing pandemic, the search for a cure or prevention has been the only target of the medical fraternity. As the second wave racked havoc, vaccines seemed to be the only viable option to stop this global surge. World Health Organization (WHO) and subsequently the Government of India have issued emergency use authorization to two vaccines. Our study aims to estimate the prevalence of the anti-SARS-CoV-2 antibodies and identify predictors of antibody titers in vaccinated healthcare workers in VIMSAR, Burla.

3.
International Journal of Global Environmental Issues ; 21(1):59-81, 2022.
Article in English | ProQuest Central | ID: covidwho-1855050

ABSTRACT

This study examined the stock markets' responses to the unprecedented outbreak of the COVID-19 pandemic in SAARC countries. The results support these countries' surge in stock market return volatilities amid the rapid spread of the COVID-19 infection caused by investors' pessimistic sentiments. The intensive media coverage of information related to the pandemic has weakened investors' sentiments and caused sudden market plunges in the SAARC region. During the pandemic, the performances of the stock markets in SAARC countries are found to be influenced by the number of COVID-19 confirmed and death cases, and movements in the fear index. The implication is that the stock markets of the SAARC region do not qualify to be semi-strong information efficient. This implication is important for investors.

4.
Journal of Rural Development ; 40(1):28-45, 2021.
Article in English | Scopus | ID: covidwho-1837581

ABSTRACT

Odisha, a State vulnerable to natural disasters, is located on the eastern coast of India. The State also experienced COVID-19 pandemic which affected all parts of the globe. The study has been undertaken to assess the coping mechanism adopted by the State to address COVID-19 pandemic situation considering its poor public health system. The role of rural local self-governments in managing the pandemic situation has also been analysed during the study. The study is based on the analysis of secondary data available from COVID-19 dashboard of Government of Odisha, circulars webhosted by State in the public domain and findings of focus group discussions organised with the multiple stakeholders associated in managing the COVID-19 situation. After a detailed research on COVID-19 management in Odisha, the study concludes that multipronged strategies of State like enforcing early lockdown, establishing dedicated COVID-19 hospitals, temporary medical camps to look after large influx of migrants and decentralised management of pandemic by the rural local self-governments are major contributing factors in managing the situation effectively. Gram Panchayats of Odisha also experienced multiple challenges in dealing with the pandemic situation due to desperate return of a large number of migrants, surveillance of the suspected COVID-19 cases, and arranging facilities for quarantine and food during the period of institutional isolation. The study recommends to strengthen the comprehensive primary healthcare at Gram Panchayat level with due attention to the preventive measures, livelihood security of rural poor and decentralised management of the pandemic at the local level. © 2021 National Institute of Rural Development. All rights reserved.

5.
PubMed; 2021.
Preprint in English | PubMed | ID: ppcovidwho-334727

ABSTRACT

The SARS-CoV-2 Gamma variant spread rapidly across Brazil, causing substantial infection and death waves. We use individual-level patient records following hospitalisation with suspected or confirmed COVID-19 to document the extensive shocks in hospital fatality rates that followed Gamma's spread across 14 state capitals, and in which more than half of hospitalised patients died over sustained time periods. We show that extensive fluctuations in COVID-19 in-hospital fatality rates also existed prior to Gamma's detection, and were largely transient after Gamma's detection, subsiding with hospital demand. Using a Bayesian fatality rate model, we find that the geographic and temporal fluctuations in Brazil's COVID-19 in-hospital fatality rates are primarily associated with geographic inequities and shortages in healthcare capacity. We project that approximately half of Brazil's COVID-19 deaths in hospitals could have been avoided without pre-pandemic geographic inequities and without pandemic healthcare pressure. Our results suggest that investments in healthcare resources, healthcare optimization, and pandemic preparedness are critical to minimize population wide mortality and morbidity caused by highly transmissible and deadly pathogens such as SARS-CoV-2, especially in low- and middle-income countries. NOTE: The following manuscript has appeared as 'Report 46 - Factors driving extensive spatial and temporal fluctuations in COVID-19 fatality rates in Brazilian hospitals' at https://spiral.imperial.ac.uk:8443/handle/10044/1/91875 . ONE SENTENCE SUMMARY: COVID-19 in-hospital fatality rates fluctuate dramatically in Brazil, and these fluctuations are primarily associated with geographic inequities and shortages in healthcare capacity.

6.
International Management Conference, IMC 2021 ; : 1-8, 2022.
Article in English | Scopus | ID: covidwho-1826303

ABSTRACT

The greatest danger in times of turbulence is not the turbulence—it is to act with yesterday’s logic.—Peter Drucker. The future has arrived faster than anticipated as most companies have shifted to remote working style and most activities are being carried out on digital platforms. For the majority of business leaders and managers, COVID-19 emerged as the most disruptive world-changing event in recent history. Managers are coerced to make decisions amidst tremendous uncertainty. To cope with these unforeseen challenges, organizations move in with efforts to integrate information technology and artificial intelligence (AI) to better understand the data and make more compatible decisions in a digital economy. Taking cues from the new normal, organizations recognize that agility is the key to deal with massive disruptions such as the COVID-19 pandemic. This introductory chapter, which precedes the next 29 theme-based chapter articles by scholars and subject experts, presents an overview and a curtain-raiser, for this burning issue. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

7.
2nd International Conference on Intelligent and Cloud Computing, ICICC 2021 ; 286:97-109, 2022.
Article in English | Scopus | ID: covidwho-1826295

ABSTRACT

The Novel Corona Virus Disease-2019 (COVID-19), which created this pandemic, makes us realize the importance of universal social and health care systems. The frontline workers worked restlessly during the pandemic and few of them also lost their lives. There is a need for a remote IoT health monitoring system that takes care of the health of infected patients, conducts regular health checks, and reduces contact between an infected person and health workers. This especially helps the patients with mild symptoms who are home quarantined. The IoT system monitors a person 24/7 and a report can be generated and sent to the doctor at the same time. However, such a procedure will produce a large amount of data. A major research challenge addressed in this paper is to effectively transfer health care data with the help of existing network infrastructure and transfer it to the cloud. In this paper, we have identified the key network and infrastructure requirements for a standard health monitoring system based on real-time event updates, bandwidth requirements, data collection, and data analysis. After that, we propose IRHMP- IoT-based remote healthcare device that delivers health care data efficiently to the cloud and the web portal. Finally, we have proposed a machine-learning algorithm to provide and predict future health risks with the help of recorded data. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

8.
British Journal of Surgery ; 109:1, 2022.
Article in English | Web of Science | ID: covidwho-1799471
9.
Journal of the American College of Cardiology ; 79(15):S334-S335, 2022.
Article in English | EMBASE | ID: covidwho-1796602

ABSTRACT

Clinical Information Patient Initials or Identifier Number: SP Relevant Clinical History and Physical Exam: A 30-year-old female was referred to our centre with chief complaint of orthopnea. The patient had received medical attention elsewhere and was treated empirically for asthma, COVID pneumonia and antitubercular treatment. On examination the patient had a bounding pulse on right upper limb and an impalpable pulse on left upper limb, weak pulses in bilateral carotid and lower limbs. Further examination revealed a right upper limb blood pressure of 230/120 mm of Hg. [Formula presented] [Formula presented] Relevant Test Results Prior to Catheterization: The chest roentgenogram of the patient revealed bat-wing pulmonary edema with cardiomegaly. ECG revealed left ventricular hypertrophy with strain pattern and echocardiography revealed left ventricular dysfunction with ejection fraction of 35%. CT aortogram revealed wall thickening with fusiform dilatation of distal thoracic, proximal abdominal aorta, and stenosis of left subclavian, celiac artery at ostium and bilateral renal arteries at ostium. The patient also had a raised ESR (40 mm/hr). Interventional Management Procedural Step: The procedure was done under local anesthetic from a right femoral artery access with 7 French sheath. A coronary angiogram was done first which revealed normal epicardial coronaries. Pull back gradient was then taken across thoracic and abdominal aorta which revealed a gradient of 20 mmHg. Next, renal angiogram was taken in individual renal arteries which revealed significant ostial stenosis of bilateral renal arteries. The lesions were serially dilated with 1.5 mm, 2.5 mm and 4 mm diameter coronary balloons. After dilatation Invatec Hippocampus 5x15 mm stent was placed in right renal artery and a 6x14 mm Boston scientific vascular SD stent placed in left renal artery. Post stenting angiography showed a good flow with relief of stenosis. [Formula presented] [Formula presented] [Formula presented] Conclusions: Although, there is controversy regarding role of angioplasty in treatment of hypertension in atheromatous renal artery stenosis, no consensus exists in Takayasu arteritis with renal artery stenosis due to a lack of randomised controlled trials. Our case represents an interesting case where the patient had a dramatic relief of hypertension and heart failure after bilateral renal angioplasty in Takayasu arteritis.

10.
2022 International Conference for Advancement in Technology, ICONAT 2022 ; 2022.
Article in English | Scopus | ID: covidwho-1788721

ABSTRACT

Due to COVID-19, engineering education has moved to an exclusive online mode, imposing various challenges for students and teachers. Many activities and methods have been introduced to improve teaching and increase students' engagement in online education. In this work, a trajectory-based pedagogy was used to enhance the associative learning and it was integrated with a trajectory based adaptive assessment to evaluate the students learning in the Power Plant Instrumentation Course of seventh semester. Evaluation was done in two modes;as a regular IRT mode, where students scored on their performance against individual question, and in trajectory-based assessment, students scored on the performance of previous question. For both assessments, scores were calculated as 'Learning coefficients.' Analysis of these learning coefficients demonstrated that in absence of innovative teaching pedagogy and assessment techniques, students may score good grades, but these are insufficient to measure the Course Learning outcomes. It is important to integrate new teaching pedagogies with complimenting assessments tools as a summative assessment to measure the Course Learning outcomes quantitatively during continuous evaluation conducted throughout the semester. This provides a robust method of assessment of students' knowledge in exclusive online education. © 2022 IEEE.

11.
British Journal of Surgery ; 109(SUPPL 1):i14, 2022.
Article in English | EMBASE | ID: covidwho-1769154

ABSTRACT

Aim: During the COVID-19 pandemic, many surveys have analysed the impact of the virus spreading on everyday medical practice, including neurosurgery. However, no one has examined the perceptions of neurosurgeons towards the pandemic, their life changes, and the strategies they implemented to deal with their patients in such a difficult time. Method: From April 2021 to May 2021, a modified Delphi method was used to construct, pilot, and refine the questionnaire. The first part focused on the evolution of global neurosurgical practice during the pandemic. This survey was distributed worldwide among 1000 neurosurgeons. The responses were then collected and critically analysed. Results: Outpatient department practices changed with a rapid rise in teleservices. 63.9% of respondents reported that they had changed their OT practices to emergency cases with occasional elective cases. 40.0% of respondents and 47.9% of their family members reported having suffered from COVID-19 at some time. 56.2% of the respondents reported having felt depressed in the last 1 year. 80.6% of the respondents found online webinars to be a good source of learning. 47.8% of respondents tried to improve their neurosurgical knowledge, while 31.6% spent extra time in research activities during the COVID-19 pandemic. Conclusions: Progressive increase in operative waiting lists, preferential use of telemedicine, reduction in the tendency to complete stoppage of physical clinic services and reduction in the administration and application of PPE kits were evident across the world. Respondents' age impacted how the clinical services and impacted mental health across the global neurosurgical fraternity.

12.
5th International Conference on Information Systems and Computer Networks, ISCON 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1759091

ABSTRACT

Meter reading and billing are time-consuming activities for power, water and gas providing boards. The existing billing system relies on a manual method of taking meter readings, updating the reading in the server and finally generating the bill amount. In this project, the user simply needs to use an Android application to capture and upload the picture of the meter after performing OCR operation. The processing on the image is performed on the server side using Google Colab and Python. The meter reading obtained from OCR processing is sent to the firebase, which is further pushed to the Android application. And finally the Android application displays the meter reading and the bill amount generated. Our project ensures the safety (from communicable diseases like COVID-19) of both the board staff and the customer as they don't come in contact with each other. This project also helps in cutting down on their expenditure by reducing manpower and travel costs. © 2021 IEEE.

13.
National Journal of Community Medicine ; 13(2):120-125, 2022.
Article in English | Scopus | ID: covidwho-1753878

ABSTRACT

Purpose: The recent pattern of the COVID19 have hit hard to the entire world engulfing many lives within it. We intended to portray the association between the hospital resources such as Hospital beds, Intensive care unit beds (ICU beds), percentage of Gross Domestic Products (GDP) on health with total confirmed cases and total deaths among different countries. Methods: The data of these available health resources in 45 countries were collected from the secondary data sources. The mortality data were collected from situation report by World Health Organization (WHO). Results: The overall mortality rate was 7.29% across 45 countries. The average number of available Hospital beds, ICU beds, GDP on health was 4.30±2.66, 11.43±9.03 and 8.31±2.56 respectively. More-over, the country that spend highest on health face maximum number of confirmed cases (r2 = 0.538) and mortality (r2 = 0.516). Conclusion: There was found that those countries spent more percentage of GDP on health having a greater number of confirmed cases and deaths, but not found any statistical significance with other health resources. © 2022, MedSci Publications. All rights reserved.

14.
12th International Conference on Computing Communication and Networking Technologies, ICCCNT 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1752355

ABSTRACT

The COVID-19 pandemic has been a trending topic on social media since it first started in December 2019. This pandemic originated in the city of Wuhan in China. India was vastly affected by this pandemic due to its large population. However, due to its vast population, India has a large number of social media users, which can provide crucial insight into people's perspectives on topics related to the pandemic. This paper uses natural language processing and sentiment analysis on the posts created by users on the social media platform of Twitter. The study uses APIs and keywords to get the data to analyze and understand the emotions of the tweets linked to topics like oxygen, vaccine, beds, and lockdown in the times of COVID-19. The results and observations are presented using various graphs, charts, and word clouds. This paper aims to help the government, researchers, and frontline workers to get an insight into the sentiment on social media about various topics concerning the covid-19 pandemic. © 2021 IEEE.

15.
2nd IEEE International Conference on Applied Electromagnetics, Signal Processing, and Communication, AESPC 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1746126

ABSTRACT

Healthcare is a human right that must be accessible to all disregarding the social or economic conditions of any human being. The burden on healthcare system has increased immensely in the last few months. The COVID19 pandemic has brought to the fore gaps in the healthcare system world over. The doctors and front-line workers are directly getting exposed to the virus and patients that might need other healthcare services are vulnerable to the exposure. These problems would be catered by the proposed device as it would be operated by the patients and the real time data can be collected by the doctors to assess the vital body parameters through cloud without being physically present in the same environment. The parameters that can be monitored are body temperature, pulse rate, and oxygen saturation level. Hence, the proposed device includes sensors for measuring the body temperature (i.e. LM35) and pulse and oxygen level (i.e. MAX30100). The experimental setup has been built using Android based Blynk Cloud Platform where data is collected from remote places and stored the cloud. It is further available for assessment by the healthcare professionals. © 2021 IEEE.

16.
EAI Endorsed Transactions on Scalable Information Systems ; 9(35), 2022.
Article in English | Scopus | ID: covidwho-1744789

ABSTRACT

INTRODUCTION: Contact tracing is a method to track the victims, which have been infected from the host with any particular disease. Therefore, clustering based machine learning techniques can be employed for contact tracing. Contact tracing can be automated by using technology and thus helps us in producing much more accurate and efficient results. OBJECTIVES: This work aims at finding usefulness of clustering techniques for contact tracing. Two different clustering techniques namely density-based clustering and partitioning-based clustering have been used to analyse corresponding results for COVID-19 infected cases. The dataset is generated from a mock data generator with certain assumptions. RESULTS: The paper compares DBSCAN and K-means for contact tracing for COVID-19 Pandemic. The comparative analysis of two algorithms is presented. CONCLUSION: The effectiveness of certain clustering algorithms in COVID-19 contact tracing is analysed. DBSCAN performs well for clustering tasks. This work only focuses on possible techniques useful for contact tracing and does not claim any medical accuracy © 2021. Meenu Gupta et al., licensed to EAI. This is an open access article distributed under the terms of the Creative Commons Attribution license, which permits unlimited use, distribution and reproduction in any medium so long as the original work is properly cited

17.
Arch Razi Inst ; 76(5): 1165-1174, 2021 11.
Article in English | MEDLINE | ID: covidwho-1744449

ABSTRACT

The novel coronavirus disease 2019 (COVID-19)-related pandemic has been in existence for almost 2 years now after its possible emergence from a wet market in the city of Wuhan of the Chinese mainland. Evidence of the emergence and transmission of this virus was attributed to bats and pangolins. The causative virus, severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has rapidly spread globally, affecting humans considerably with its current death toll to be over 4.7 million out of more than 233 confirmed cases as of September 2021. The virus is constantly mutating and continuously trying to establish itself in humans by increasing its transmissibility and virulence through its numerous emerging variants. Several countries have been facing multiple waves of COVID-19 outbreaks one after the other, putting the medical and healthcare establishments under tremendous stress. Although very few drugs and vaccines have been approved for emergency use, their production capabilities need to meet the needs of a huge global population. Currently, not even a quarter of the world population is vaccinated. The situation in India has worsened during the ongoing second wave with the involvement of virus variants with a rapid and huge surge in COVID-19 cases, where the scarcity of hospital infrastructure, antiviral agents, and oxygen has led to increased deaths. Recently, increased surveillance and monitoring, strengthening of medical facilities, campaigns of awareness programs, progressive vaccination drive, and high collaborative efforts have led to limiting the surge of COVID-19 cases in India to a low level. This review outlines the global status of the pandemic with special reference to the Indian scenario.


Subject(s)
COVID-19 , Animals , COVID-19/epidemiology , COVID-19/veterinary , Disease Outbreaks , India/epidemiology , SARS-CoV-2
18.
6th International Conference on Image Information Processing, ICIIP 2021 ; 2021-November:523-528, 2021.
Article in English | Scopus | ID: covidwho-1741195

ABSTRACT

In the current scenario, the pandemic COVID-19 spread globally starting from the end of 2019, in Wuhan, a city of China. As per the current data taken up to 26th of May 2020, globally there are a huge number of people are affected (Approximately 3 billions) by the pandemic. Though the entire data varies depending upon the several parameters like, population size, congestion of area, climate condition, awareness of peoples etc. we have only analyzes on the data of the country USA. The entire data is partitioned into various categories such as: infected rate, mortality rate. A statistical analysis is prepared to analyze or predict the future strategies of the infected rate as well as the removal (Death/cured) rate. The growth of both the infected and the removed can be predicted with the same observed data taken on daily basis from 15th February 2020. We retrieved these data from an authenticate source provided by Worldometer (http://www.worldometers.info). However, Prophet Forecasting Model (PMF) is used to simulate and discussed for the prediction of the mortality rate, active rate due to pandemic COVID-19. The proposed method is also tested for accuracy of model via cross validation method. © 2021 IEEE.

19.
MEDLINE; 2022.
Preprint in English | MEDLINE | ID: ppcovidwho-329769

ABSTRACT

Background: Among systemic abnormalities caused by the novel coronavirus, little is known about the critical attack on the central nervous system (CNS). Few studies have shown cerebrovascular pathologies that indicate CNS involvement in acute patients. However, replication studies are necessary to verify if these effects persist in COVID-19 survivors more conclusively. Furthermore, recent studies indicate fatigue is highly prevalent among 'long-COVID' patients. How morphometry in each group relate to work-related fatigue need to be investigated. Method: COVID survivors were MRI scanned two weeks after hospital discharge. We hypothesized, these survivors will demonstrate altered gray matter volume (GMV) and experience higher fatigue levels when compared to healthy controls, leading to stronger correlation of GMV with fatigue. Voxel-based morphometry was performed on T1-weighted MRI images between 46 survivors and 30 controls. Unpaired two-sample t-test and multiple linear regression were performed to observe group differences and correlation of fatigue with GMV. Results: The COVID group experienced significantly higher fatigue levels and GMV of this group was significantly higher within the Limbic System and Basal Ganglia when compared to healthy controls. Moreover, while a significant positive correlation was observed across the whole group between GMV and self-reported fatigue, COVID subjects showed stronger effects within the Posterior Cingulate, Precuneus and Superior Parietal Lobule . Conclusion: Brain regions with GMV alterations in our analysis align with both single case acute patient reports and current group level neuroimaging findings. We also newly report a stronger positive correlation of GMV with fatigue among COVID survivors within brain regions associated with fatigue, indicating a link between structural abnormality and brain function in this cohort.

20.
Lecture Notes on Data Engineering and Communications Technologies ; 86:283-293, 2022.
Article in English | Scopus | ID: covidwho-1739276

ABSTRACT

COVID-19 since its discovery and spread have caused major disruption in the regular operation of the industries, schools, universities, business, and hospitals and eventually to the national economy of many countries. It is a highly contagious disease and spreading among communities at a very fast pace. Early detection of COVID-19 infected patients and quarantining them are few possible measures to restrict its spread. Persons infected by COVID-19 demonstrate many symptoms. However, these symptoms are somewhat similar to some of the common diseases like a common cold, viral fever, and body ache which we generally face in our day-to-day life. Hence, most of the medical experts confuse COVID-19 with some very common diseases, and when the actual cause is known by that time the situation becomes worse. In this light, this study proposed a new concept based on soft computing techniques to determine the exact symptoms responsible for COVID-19. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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