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1.
1st International Conference on Deep Sciences for Computing and Communications, IconDeepCom 2022 ; 1719 CCIS:345-354, 2023.
Article in English | Scopus | ID: covidwho-2250858

ABSTRACT

The current generation data is most valuable in people's life, because data only decided people's health affected in COVID'19 or not, and not only COVID'19 all related to health issues data. To analyze and predict the health issue data by using Machine Learning Algorithm. This prediction issues data has most confidential data and need more security. So, applying the previous method is ChaCha method. This method focusing only performance not fully security. The new method is BR22-01. This method has five stages. The 1st stage is finding the secret key x & y value. The 2nd stage is applying key in Eq. (1). The 3rd stage is merge all values into single row then pair from left and swap the values in the HS matrix. The 4th stage is applying key in Eq. (2). The 5th stage is merge all values into single line then pair from left and swap the values in the HC matrix but reverse. The new method has provide good security as well as performance while compared to ChaCha method. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.

2.
Can J Kidney Health Dis ; 8: 20543581211053458, 2021.
Article in English | MEDLINE | ID: covidwho-1511696

ABSTRACT

PURPOSE OF THE PROGRAM: This article provides guidance on optimizing the management of pediatric patients with end-stage kidney disease (ESKD) who will be or are being treated with any form of home or in-center dialysis during the COVID-19 pandemic. The goals are to provide the best possible care for pediatric patients with ESKD during the pandemic and ensure the health care team's safety. SOURCES OF INFORMATION: The core of these rapid guidelines is derived from the Canadian Society of Nephrology (CSN) consensus recommendations for adult patients recently published in the Canadian Journal of Kidney Health and Disease (CJKHD). We also consulted specific documents from other national and international agencies focused on pediatric kidney health. Additional information was obtained by formal review of the published academic literature relevant to pediatric home or in-center hemodialysis. METHODS: The Leadership of the Canadian Association of Paediatric Nephrologists (CAPN), which is affiliated with the CSN, solicited a team of clinicians and researchers with expertise in pediatric home and in-center dialysis. The goal was to adapt the guidelines recently adopted for Canadian adult dialysis patients for pediatric-specific settings. These included specific COVID-19-related themes that apply to dialysis in a Canadian environment, as determined by a group of senior renal leaders. Expert clinicians and nurses with deep expertise in pediatric home and in-center dialysis reviewed the revised pediatric guidelines. KEY FINDINGS: We identified 7 broad areas of home dialysis practice management that may be affected by the COVID-19 pandemic: (1) peritoneal dialysis catheter placement, (2) home dialysis training, (3) home dialysis management, (4) personal protective equipment, (5) product delivery, (6) minimizing direct health care providers and patient contact, and (7) caregivers support in the community. In addition, we identified 8 broad areas of in-center dialysis practice management that may be affected by the COVID-19 pandemic: (1) identification of patients with COVID-19, (2) hemodialysis of patients with confirmed COVID-19, (3) hemodialysis of patients not yet known to have COVID-19, (4) management of visitors to the dialysis unit, (5) handling COVID-19 testing of patients and staff, (6) safe practices during resuscitation procedures in a pandemic, (7) routine hemodialysis care, and (8) hemodialysis care under fixed dialysis resources. We make specific suggestions and recommendations for each of these areas. LIMITATIONS: At the time when we started this work, we knew that evidence on the topic of pediatric dialysis and COVID-19 would be severely limited, and our resources were also limited. We did not, therefore, do formal systematic review or meta-analysis. We did not evaluate our specific suggestions in the clinical environment. Thus, this article's advice and recommendations are primarily expert opinions and subject to the biases associated with this level of evidence. To expedite the publication of this work, we created a parallel review process that may not be as robust as standard arms' length peer-review processes. IMPLICATIONS: We intend these recommendations to help provide the best care possible for pediatric patients prescribed in-center or home dialysis during the COVID-19 pandemic, a time of altered priorities and reduced resources.

3.
Healthinf: Proceedings of the 14th International Joint Conference on Biomedical Engineering Systems and Technologies - Vol. 5: Healthinf ; : 659-666, 2021.
Article in English | Web of Science | ID: covidwho-1314885

ABSTRACT

The COVID-19 pandemic has affected the world on a global scale, infecting nearly 68 million people across the world, with over 1.5 million fatalities as of December 2020. A cost-effective early-screening strategy is crucial to prevent new outbreaks and to curtail the rapid spread. Chest X-ray images have been widely used to diagnose various lung conditions such as pneumonia, emphysema, broken ribs and cancer. In this work, we explore the utility of chest X-ray images and available expert-written diagnosis reports, for training neural network models to learn disease representations for diagnosis of COVID-19. A manually curated dataset consisting of 450 chest X-rays of COVID-19 patients and 2,000 non-COVID cases, along with their diagnosis reports were collected from reputed online sources. Convolutional neural network models were trained on this multimodal dataset, for prediction of COVID-19 induced pneumonia. A comprehensive clinical decision support system powered by ensemble deep learning models (CADNN) is designed and deployed on the web*. The system also provides a relevance feedback mechanism through which it learns multimodal COVID-19 representations for supporting clinical decisions.

4.
Kidney Int Rep ; 6(5): 1232-1241, 2021 May.
Article in English | MEDLINE | ID: covidwho-1160957

ABSTRACT

BACKGROUND: Pandemics greatly interfere with overall health care delivery as resources are diverted to combat the crisis. Kidney transplantation programs were closed temporarily during the COVID-19 pandemic. Given the critical shortage of organs, their short shelf life, and their overall importance to improving length and quality of life for those with kidney disease, this analysis examines the impact of discarding deceased donor organs. METHODS: The net benefit (or harm) of discarding deceased donor organs was measured in projected life years from a societal and individual perspective using a Markov model. A wide range of infection rates, pandemic durations, and case fatality rates associated with infection in wait listed and transplant recipients were examined. RESULTS: Overall, patient life expectancy fell for both wait listed and transplant recipients as the pandemic conditions became more unfavorable. However, the overall net benefit of a transplant during the pandemic was preserved. For example, prior to the pandemic, the net benefit of a kidney transplant over dialysis was calculated to be 6.25 life years (LYs) or 8.24 quality-adjusted life years (QALYs) in a 40-year old recipient. This fell to 5.86 LYs (7.78 QALYs) during the pandemic. Even assuming plausible but higher relative case fatality rates and risks of nosocomial and donor transmission in transplant recipients compared to wait listed patients, the net benefit remained >4 years for most deceased donor organs. CONCLUSION: As long as hospitals have adequate resources to deal with the pandemic and can limit nosocomial infection, kidney transplantation should not be curtailed.

5.
Australasian Accounting Business & Finance Journal ; 15(1):22-36, 2021.
Article in English | ProQuest Central | ID: covidwho-1145843

ABSTRACT

The purpose of this research is to assess the possible impacts of physical distancing, implemented as a precaution against COVID-19, on businesses that depend on sharing economy, with an emphasis on developing economies. While COVID-19 has already been ravaging economies, there is a need to examine its impact on businesses that thrive on shared resources, which is a relatively new model, and thus merits an impact assessment. The methodology includes extensive background research on the origins of COVID-19, economic impacts of historic pandemics and examining the financial statements over the last six months of business that are purported to be affected, to assess the impact. This in addition to qualitative interviews of users of shared spaces and facilities, and collating media sources for stance taken by firms affected. The study aims to highlight the need for evolved business models to factor in physical distancing in order to adapt and stay insulated from future threats.

6.
Kidney Med ; 3(2): 314-316, 2021.
Article in English | MEDLINE | ID: covidwho-1081103
7.
Can J Kidney Health Dis ; 7: 2054358120938564, 2020.
Article in English | MEDLINE | ID: covidwho-788590

ABSTRACT

PURPOSE: To collate best practice recommendations on the management of patients receiving in-center hemodialysis during the COVID-19 pandemic, based on published reports and current public health advice, while considering ethical principles and the unique circumstances of Canadian hemodialysis units across the country. SOURCES OF INFORMATION: The workgroup members used Internet search engines to retrieve documents from provincial and local hemodialysis programs; provincial public health agencies; the Centers for Disease Control and Prevention; webinars and slides from other kidney agencies; and nonreviewed preprints. PubMed was used to search for peer-reviewed published articles. Informal input was sought from knowledge users during a webinar. METHODS: Challenges in the care of hemodialysis patients during the COVID-19 pandemic were highlighted within the Canadian Senior Renal Leaders Forum discussion group. The Canadian Society of Nephrology (CSN) developed the COVID-19 rapid response team (RRT) to address these challenges. They identified a pan-Canadian team of clinicians and administrators with expertise in hemodialysis to form the workgroup. One lead was chosen who drafted the initial document. Members of the workgroup reviewed and discussed all recommendations in detail during 2 virtual meetings on April 7 and April 9. Disagreements were resolved by consensus. The document was reviewed by the CSN COVID-19 RRT, an ethicist, an infection control expert, a community nephrologist, and a patient partner. Content was presented during an interactive webinar on April 11, 2020 attended by 269 kidney health professionals, and the webinar and first draft of the document were posted online. Final revisions were made based on feedback received until April 13, 2020. CJKHD editors reviewed the parallel process peer review and edited the manuscript for clarity. KEY FINDINGS: Recommendations were made under the following themes: (1) Identification of patients with COVID-19 in the dialysis unit, (2) hemodialysis of patients with confirmed COVID-19, (3) hemodialysis of patients not yet known to have COVID-19, (4) visitors; (5) testing for COVID-19 in the dialysis unit; (6) resuscitation, (6) routine hemodialysis care, (7) hemodialysis care under fixed dialysis resources. LIMITATIONS: Because of limitations of time and resources, and the large number of questions, formal systematic review was not undertaken. The recommendations are based on expert opinion and subject to bias. The parallel review process that was created may not be as robust as the standard peer review process. IMPLICATIONS: We hope that these recommendations provide guidance for dialysis unit directors, clinicians, and administrators on how to limit risk from infection and adverse outcomes, while providing necessary dialysis care in a setting of finite resources. We also identify a number of resource allocation priorities, which we hope will inform decisions at provincial funding agencies.

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