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1.
Cogent Medicine ; 8, 2021.
Article in English | EMBASE | ID: covidwho-1617072

ABSTRACT

Introduction: The first wave of the COVID-19 pandemic required paediatric departments to quickly adapt to changing infection control policies, including altering physical space, pathway and rota restructuring, and adopting telemedicine platforms. As it emerged that COVID-19, as a disease entity, does not severely affect children, it became apparent the biggest challenges in delivering excellent care would be to overcome operational and organisational obstacles. Other challenges included delayed presentations of other conditions, waning staff morale and lack of paediatric specific infection control data and guidance. Methods: Our district general hospital's paediatric department established working groups comprising senior paediatricians, infection control leads and nursing managers. They regularly met during the first wave with the aim to optimise inpatient and outpatient paediatric care, agree on paediatric specific pathway changes and ensure staff morale was maintained. Actions: Paediatric doctors took over management of the paediatric emergency department (ED) to support adult services. Consultants became residents overnight to help manage ED and the requirements of a 'red' and 'yellow' admission pathway. We implemented a thrice-weekly multi-disciplinary resuscitation simulation to ensure all staff were aware of COVID adaptions to paediatric resuscitation algorithms. Weekly staff debriefs held to ensure the dissemination of pathway updates and to prioritise staff morale. Emergency funding led to the acquisition of new equipment to avoid cross-contamination with adult areas (e.g. blood gas analysers). Outpatient referrals were double-vetted by consultants and seen promptly. Over one year from January 2020, 8,104 children were seen in the clinic;4,619 (57%) were new referrals and seen face-to-face. We worked with adult services;the paediatric outpatient area was converted to an overflow adult ED. Paediatrics utilised an adult area with a larger footprint to continue face-to-face outpatient appointments. We extended our community nursing service to 7 days a week (from 5) to ensure more streamlined ambulatory care. Conclusions: Adaptability and flexibility were fundamental in implementing paediatric specific pathways. Schedule supportive team debriefs to promote staff wellbeing. Work with adult services to maintain excellent patient care throughout both specialities-we took over paediatric ED and utilised adult space to continue outpatient clinics. Anecdotally paediatricians preferred, and felt safer, undertaking face-to-face consultations for new outpatient appointments. Most children were not seen by their general practitioner prior to referral. We advocate ensuring all new outpatient referrals are seen face-to-face. Telemedicine was the preferred method for reviewing outpatient follow-ups. More research is required into the opportunities and barriers of paediatric telemedicine.

2.
5th World Conference on Smart Trends in Systems, Security and Sustainability, WS4 2021 ; 334:785-800, 2022.
Article in English | Scopus | ID: covidwho-1611372

ABSTRACT

The COVID pandemic has opened the eyes of numerous nations about their medical services framework. The short blast and uncontrolled overall spread of COVID-19 show the constraints of existing medical services frameworks to handle general wellbeing crises conveniently. The disease and demise numbers detailed by World Health Organization (WHO) about this pandemic is an expanding danger to the lives of individuals and the financial matters of nations. The greatest challenge that most governments are experiencing is the absence of a precise mechanism to recognize obscure contaminated cases and anticipate the disease danger of COVID-19 infection. Numerous countries have been utilizing a scope of devices to battle the pandemic, looking for data about development, checking just as the releasing the private data of the occupants. This research paper plans to help tainted individuals with care utilizing the Internet of Things (IoT) and blockchain innovations. From one viewpoint, blockchain can battle pandemics by empowering early discovery of the cases, securing client protection, and guaranteeing a compacted clinical flexibly chain during the pandemic attack. Then again, IoT-based medical services accumulate valuable data, give advanced knowledge through indications and practices, permit far-off checking, and essentially give individuals better self-assurance and medical services. A proposed layer consists of four-layer architecture utilizing IoT and blockchain to identify and predict people to be COVID-19. This idea provides a framework for patients with COVID-19 irresistible infection and perceives medical problems and determinations. The proposed approach is anticipated to deliver a robust framework ready to help governments, healthcare specialists, and residents make basic choices concerning disease recognition, disease forecast, and disease avoidance. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

3.
8th International Conference on Future Internet of Things and Cloud, FiCloud 2021 ; : 319-325, 2021.
Article in English | Scopus | ID: covidwho-1541652

ABSTRACT

Social network video sharing popularity is compelling the service providers to sustain the high QoS (Quality of Service). On the other hand, video sharing trend is becoming real time due to upsurging live video streaming over social networks. The current video dispatching framework, bifurcate across network operators and content providers. This fails to strengthen the cross-delivery information. We claim that unicast video traffic can be routed intelligently if network operators utilize the knowledge about location of the users and topology of the network. This in turn can enrich QoS for live video sharing over social networks. We manifest different scenarios in the current mobile network, where QoS suffers due to existing video dispatching framework. We propose that the future generation mobile networks can utilize location of the receiver with respect to the sender to enrich video quality experience. Our simulation experiment substantiate that on every QoS metrics lies the possibility for remarkable enhancement of live video sharing experience with the help of relative location of senders and receivers. © 2021 IEEE.

4.
Archives of Disease in Childhood ; 106(SUPPL 1):A194, 2021.
Article in English | EMBASE | ID: covidwho-1495063

ABSTRACT

Background The COVID-19 pandemic required doctors to quickly adapt to new infection-control policies, rota restructuring and pathway changes. There was uncertainty on how the pandemic would affect paediatrics, as well as anxiety of the personal COVID-19 effects, frustration with media reporting and potential isolation with social-distancing measures. Our department recognised that both junior and senior doctors needed a platform to come together to address these feelings and reflect on them, ensuring a supportive team at work during this challenging period. Objectives To implement a supportive debrief session within the paediatric unit's teaching programme to improve team morale and reduce anxiety on the uncertainties of the pandemic. Methods During the first wave of the pandemic (April 2020- August 2020) we ran a weekly 'debrief hour' scheduled within the departmental teaching programme. Co-led by the college tutor, clinical director and trainee representatives, it was open to paediatric junior doctors and consultants. These sessions were held face-to-face and virtually. During the second wave (October 2020-February 2021) these sessions were held fortnightly and were focused on wellbeing. One week prior to each session questionnaires were completed anonymously by junior doctors to collate issues they wished to reflect on. Postdebrief surveys were completed by participants. Results We ran a total of 30 sessions. During the first wave 18 junior doctors and 5 consultants on average attended each debrief. Topics of discussion varied from difficult clinical cases and the emotional challenges of the pandemic to learning about individual approaches to mindfulness. Anecdotally junior doctors appreciated this dedicated time to 'offload' in a safe space. It helped forge bonds and personal connections within the team. Overall doctors were grateful their wellbeing was prioritised by these sessions. We took this initiative forward into the second wave where sessions became fortnightly. Our post-debrief surveys revealed that 96% (N=19) of junior doctors valued this time for team reflection and connection. 92% (N=19) found them useful. 94% (N=19) would like to see these sessions continue after the pandemic. Feedback included junior doctors 'feeling supported', 'paediatrics being the best team' and 'bonding during a worrying time'. From March 2021 these sessions will be led by the department's clinical psychologist. Conclusions • We advocate scheduling a supportive debrief session within departmental teaching programmes, especially in times of uncertainty and potential anxiety (such as global pandemics). This encourages team bonding. • Embedding debrief sessions within the teaching programme sends a clear message to junior doctors that the department prioritises and promotes the wellbeing of doctors, seeing it as an important part of their working lives. • Supportive debrief sessions allow doctors a safe space to 'offload' with their peers in a reflective, relaxed environment, thus helping create a sense of community at work and improving morale. • The department will continue to hold scheduled team debriefs, which will carry on after the pandemic. The Trust recognises the importance of championing wellbeing;moving forward time has been allocated for a clinical psychologist to lead these sessions. • We strongly recommend that budget planning includes provision for trainee wellbeing support services.

5.
20th IFIP WG 6.11 Conference on e-Business, e-Services and e-Society, I3E 2021 ; 12896 LNCS:704-709, 2021.
Article in English | Scopus | ID: covidwho-1437123

ABSTRACT

The socio-cultural polarization induced due to information and communication technology because of the selective online exposure during COVID-19 has been a major cause of concern around the globe. In this paper, we use random network theory-based simulation technique to investigate the temporal dynamics of opinion formation on YouTube videos. Our findings reveal that as the pandemic unfolded, the degree of polarization in the online discourse has increased with time. This study is significant for understanding that online discourse on sociocultural issues can lead to polarization particularly in crisis situations such as a pandemic and exacerbate the social divide. © 2021, IFIP International Federation for Information Processing.

6.
Indian Journal of Community Health ; 33(2):383-385, 2021.
Article in English | Scopus | ID: covidwho-1395866

ABSTRACT

India reported highest incidence of Mucormycosis in the past and during the second wave of COVID-19. Google Trends is a potential tool for infoveillance of infectious disease like Mucormycosis. Relative Search Volume (RSV) for term Mucormycosis (+ Black fungus), diabetes, steroid, oxygen, D-dimer (+ferritin) had been extracted from Google Trends for three months (March to May 2021) and state-wise prevalence for Mucormycosis released by Ministry of Health and Family Welfare was used for the analysis. India reported highest RSV for Mucormycosis among the top five countries with COVID-19 cases. RSV peak for oxygen preceded the Mucormycosis spike. Correlation between state-wise prevalence of Mucormycosis and their corresponding RSV was not significant. While a positive correlation was observed between Mucormycosis, diabetes and steroid, it was not statistically significant. Infoveillance using Google trends can serve as a proxy marker for the public health needs and priorities much before actual field surveys. © 2021, Indian Association of Preventive and Social Medicine. All rights reserved.

7.
International Journal of Innovation and Technology Management ; 18(04):24, 2021.
Article in English | Web of Science | ID: covidwho-1307975

ABSTRACT

The concept of big data (BD) has been coupled with disaster management to improve the crisis response during pandemic and epidemic. BD has transformed every aspect and approach of handling the unorganized set of data files and converting the same into a piece of more structured information. The constant inflow of unstructured data shows the research lacuna, especially during a pandemic. This study is an effort to develop a pandemic disaster management approach based on BD. BD text analytics potential is immense in effective pandemic disaster management via visualization, explanation, and data analysis. To seize the understanding of using BD toward disaster management, we have taken a comprehensive approach in place of fragmented view by using BD text analytics approach to comprehend the various relationships about disaster management theory. The study's findings indicate that it is essential to understand all the pandemic disaster management performed in the past and improve the future crisis response using BD. Though worldwide, all the communities face big chaos and have little help reaching a potential solution.

8.
Indian Journal of Critical Care Medicine ; 25(SUPPL 1):S26, 2021.
Article in English | EMBASE | ID: covidwho-1200243

ABSTRACT

Introduction: Pneumonia with severe respiratory failure represents the principal cause of death in COVID-19, where hyper-inflammation plays an important role in lung damage. An effective treatment aiming at reducing the inflammation without preventing virus clearance is thus urgently needed. Tocilizumab, an anti-IL-6 receptor monoclonal antibody, has been proposed for the treatment of patients with COVID-19. Early use of tocilizumab prevents sudden deterioration of patient but after 15 days cavitary lesions are found in HRCT chest which is manageable. Objectives: To discuss the use of early tocilizumab in severe COVID pneumonia patients. Materials and methods: A 46-year-old Indian man presented in casualty with the complaint of shortness of breath, cough fever since 5 days admitted in COVID ward after COVID-19 RT-PCR tested positive HRCT chest shows 90% lung involvement. The initial patient was vitally stable with SpO2 98 with 15 L oxygen support NRBM, respiratory rate was 18/minute. ABG shows mild hypoxia. On day 2, the patient started deteriorating, not maintaining saturation on NRNM support taking on NIV support. Worsening of blood marker started. We plan for use of early tocilizumab 400 mg. The next day tocilizumab was given. The patient intubated and took on AC/VC support. After 5 days, the patient successfully extubated. On the seventh day, the patient extubate Results: Use of early tocilizumab prevents sudden deterioration of patient with 90% lung involvement but after 20 days cavitary lesions found which is manageable. Discussions: The patient came with severe pneumonia due to COVID. Tocilizumab was given on the third day of admission. The blood marker shows regular improvement. The patient intubated then extubated. Cavitary lesion developed. Oxygen requirement slowly decreases. Bronchoscopy shows normal findings. BAL shows tubercular etiology. ATT started. After 30 days, the patient successfully discharge. Conclusion: Tocilizumab can be beneficial to the suddenly deteriorating patients due to hyperimmune reaction if the timing of administration is right.

9.
Proc. Conflu.: Int. Conf. Cloud Comput., Data Sci. Eng. ; : 399-404, 2021.
Article in English | Scopus | ID: covidwho-1186094

ABSTRACT

Any disease whether it is curable or not, it must be diagnosed properly with some time in hand to take the appropriate actions in time. As it is popularly said that early detection of any disease is half cured. For detection of the diseases like Pneumonia, Covid-19, Brain Tumor Radiography, Computed Tomography are a technique popularly used nowadays. The motivation towards the study of the topic was that due to our country’s population density, the vulnerability of getting infected and not being treated nicely was exposed during the outbreak of Covid-19. The ratio of doctors in India is nearly 1:1456 which means 1 doctor has approximately 1456 patients to deal with. That also results in a lot of time being wasted on diagnosis, scheduling appointments, collection of reports, etc. which could prove to be critical for a patient. To reduce all the time being wasted, with the help of machine learning we intend to learn if we can predict if the patient is infected with a certain disease or not. How do we do that is by using deep learning models and analyze on the basis of a few X-Ray scan of the Chest to detect Pneumonia. © 2021 IEEE

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