scholarly journals Systematic Review of COVID-19 Treatment and Management

2021 ◽  
Vol 3 (122) ◽  
pp. 11-24
Author(s):  
Chijioke Gospel Tonycheta
Keyword(s):  
Systematic Review ◽  
Health Care Systems ◽  
Global Challenge ◽  
Online Databases ◽  
Care Systems ◽  
And Performance ◽  
Novel Coronavirus ◽  
Meta Analyses ◽  
Control And Management ◽  
And Control

COVID-19 is an emerging infectious disease, first reported in Wuhan, China. The deadly disease currently known as SARS-CoV-2 can affect everyone regardless of race, gender or age. However, people suffering from underlying medical conditions such as hypertension, diabetes, and other chronic diseases are at the biggest risk for developing more intense symptoms and complications. The global challenge in the containment of COVID-19 has led to a massive death rate and resulted in many economic, social, and health burdens around the world, leading to the question of the dynamic of COVID-19 management treatment. Therefore, this paper aimed to systematically review different past and present studies to develop a possible solution on how COVID-19 can be managed and treated. The articles were searched from five online databases: Science Direct, PubMed/Medline, Web of Science, Embase, and Scopus. The systematic review was guided by the guidelines presented in the preferred reporting items for systematic reviews and meta-analyses (PRISMA) from 2019–2021. Thirteen articles were included after reviewing seventy-two articles. Three hypotheses guided the study; clinical management, telehealth technology, and performance intelligence as an effective way of managing and controlling COVID-19. The study concludes there is no proven treatment for the virus yet, but clinical treatment, telehealth technology, and performance intelligence can effectively manage and control the virus.  It also recommends policymakers should support the development and the implementation of performance intelligence based on the evidence and standardized data available for effective and pandemic resilience health care systems that will address the control and management of the virus. Keywords: SARS2, SARS-CoV-2, Novel Coronavirus, 2019nCoV, COVID-19.

scholarly journals Epidemiological Investigation Model of Novel Coronavirus Pneumonia Based on Data Mining Technology

2021 ◽  
Vol 292 ◽  
pp. 03026
Author(s):  
Kai Chen ◽  
Bing Yang ◽  
Miao Hao ◽  
Hong Yang ◽  
Meiyuan Qin ◽  
...  
Keyword(s):  
Data Mining ◽  
Health Care Systems ◽  
Epidemiological Investigation ◽  
Health Concerns ◽  
Care Systems ◽  
To Come ◽  
Using Data ◽  
Novel Coronavirus ◽  
Available Information ◽  
And Control

With its extraordinary rapidity of transmission, the COVID-19 pandemic demonstrates the vulnerability of a globalized and networked world. The first months of the pandemic were marked by a significant strain on health-care systems. Since the prospect of pandemics has elevated public health concerns, it is critical to revisit this issue. The primary goal of this essay is to employ data mining technologies and methodologies to do investigative analysis on publicly available information. In this article we shared ways and techniques to handle and control this pandemic in the best possible way using data mining techniques and models. Researchers and scientists will be able to use the results of our poll to come up with new approaches to combat the pandemic.

scholarly journals A Comprehensive Study of Artificial Intelligence and Machine Learning Approaches in Confronting the Coronavirus (COVID-19) Pandemic

2021 ◽  
pp. 002073142110174
Author(s):  
Md Mijanur Rahman ◽  
Fatema Khatun ◽  
Ashik Uzzaman ◽  
Sadia Islam Sami ◽  
Md Al-Amin Bhuiyan ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Health Care ◽  
Language Processing ◽  
Probabilistic Models ◽  
Health Care Systems ◽  
Learning Approaches ◽  
Care Systems ◽  
Novel Coronavirus ◽  
Comprehensive Study

The novel coronavirus disease (COVID-19) has spread over 219 countries of the globe as a pandemic, creating alarming impacts on health care, socioeconomic environments, and international relationships. The principal objective of the study is to provide the current technological aspects of artificial intelligence (AI) and other relevant technologies and their implications for confronting COVID-19 and preventing the pandemic’s dreadful effects. This article presents AI approaches that have significant contributions in the fields of health care, then highlights and categorizes their applications in confronting COVID-19, such as detection and diagnosis, data analysis and treatment procedures, research and drug development, social control and services, and the prediction of outbreaks. The study addresses the link between the technologies and the epidemics as well as the potential impacts of technology in health care with the introduction of machine learning and natural language processing tools. It is expected that this comprehensive study will support researchers in modeling health care systems and drive further studies in advanced technologies. Finally, we propose future directions in research and conclude that persuasive AI strategies, probabilistic models, and supervised learning are required to tackle future pandemic challenges.

scholarly journals Contributory role of SARS-CoV-2 genomic variations and life expectancy in COVID-19 transmission and low fatality rate in Africa

2020 ◽  
Vol 21 (1) ◽  
Author(s):  
Olabode E. Omotoso
Keyword(s):  
Mutational Analysis ◽  
Health Care Systems ◽  
Selective Advantage ◽  
African Population ◽  
Young Generation ◽  
Regulatory Policies ◽  
Recurrent Mutations ◽  
Mutational Hotspots ◽  
Care Systems ◽  
Novel Coronavirus

Abstract Background The novel coronavirus disease (COVID-19) has claimed lots of lives, posing a dire threat to global health. It was predicted that the coronavirus outbreak in the African population would be very lethal and result to economic devastation owing to the prevalence of immune-compromised population, poverty, low lifespan, fragile health care systems, poor economy, and lifestyle factors. Accumulation of mutations gives virus selective advantage for host invasion and adaptation, higher transmissibility of more virulent strains, and drug resistance. The present study determined the severe acute respiratory syndrome-2 (SARS-CoV-2) genomic variability and the contributory factors to the low COVID-19 fatality in Africa. To assess the SARS-CoV-2 mutational landscape, 924 viral sequences from the Africa region with their sociobiological characteristics mined from the Global Initiative on Sharing All Influenza Data (GISAID) database were analyzed. Results Mutational analysis of the SARS-CoV-2 sequences revealed highly recurrent mutations in the SARS-CoV-2 spike glycoprotein D614G (97.2%), concurrent R203K, and G204R (65.2%) in the nucleocapsid phosphoprotein, and P4715L (97.2%) in the RNA-dependent RNA polymerase flagging these regions as SARS-CoV-2 mutational hotspots in the African population. COVID-19 is more severe in older people (> 65 years); Africa has a low percentage of people within this age group (4.36%). The average age of the infected patients observed in this study is 46 years with only 47 infected patients (5.1%) above 65 years in Africa in comparison to 13.12% in countries in other continents with the highest prevalence of COVID-19. Conclusions Africa’s young generation, the late incidence of the disease, and adherence to public health guidelines are important indicators that may have contributed to the observed low COVID-19 deaths in Africa. However, with the easing of lockdown and regulatory policies, daily increasing incidence in most countries, and low testing and sequencing rate, the epidemiology and the true impact of the pandemic in Africa remain to be unraveled.

scholarly journals Interventions to Reduce Adult Nursing Turnover: A Systematic Review of Systematic Reviews

2017 ◽  
Vol 11 (1) ◽  
pp. 108-123 ◽  
Author(s):  
Mary Halter ◽  
Ferruccio Pelone ◽  
Olga Boiko ◽  
Carole Beighton ◽  
Ruth Harris ◽  
...  
Keyword(s):  
Systematic Review ◽  
Health Care ◽  
Systematic Reviews ◽  
Health Care Services ◽  
Health Care Systems ◽  
Large Body ◽  
Review Literature ◽  
Adult Health ◽  
Turnover Rates ◽  
Care Systems

Background: Nurse turnover is an issue of concern in health care systems internationally. Understanding which interventions are effective to reduce turnover rates is important to managers and health care organisations. Despite a plethora of reviews of such interventions, strength of evidence is hard to determine. Objective: We aimed to review literature on interventions to reduce turnover in nurses working in the adult health care services in developed economies. Method: We conducted an overview (systematic review of systematic reviews) using the Cochrane Database of Systematic Reviews, MEDLINE, EMBASE, Applied Social Sciences Index and Abstracts, CINAHL plus and SCOPUS and forward searching. We included reviews published between 1990 and January 2015 in English. We carried out parallel blinded selection, extraction of data and assessment of bias, using the Assessment of Multiple Systematic Reviews. We carried out a narrative synthesis. Results: Despite the large body of published reviews, only seven reviews met the inclusion criteria. These provide moderate quality review evidence, albeit from poorly controlled primary studies. They provide evidence of effect of a small number of interventions which decrease turnover or increase retention of nurses, these being preceptorship of new graduates and leadership for group cohesion. Conclusion: We highlight that a large body of reviews does not equate with a large body of high quality evidence. Agreement as to the measures and terminology to be used together with well-designed, funded primary research to provide robust evidence for nurse and human resource managers to base their nurse retention strategies on is urgently required.

scholarly journals Potential impact of seasonal forcing on a SARS-CoV-2 pandemic

2020 ◽  
Author(s):  
Richard A. Neher ◽  
Robert Dyrdak ◽  
Valentin Druelle ◽  
Emma B. Hodcroft ◽  
Jan Albert
Keyword(s):  
Seasonal Variation ◽  
Infection Control ◽  
Transmission Rate ◽  
Health Care Systems ◽  
Control Measures ◽  
Rate Variation ◽  
Small Peak ◽  
Infection Control Measures ◽  
Care Systems ◽  
Novel Coronavirus

A novel coronavirus (SARS-CoV-2) first detected in Wuhan, China, has spread rapidly since December 2019, causing more than 80,000 confirmed infections and 2,700 fatalities (as of Feb 27, 2020). Imported cases and transmission clusters of various sizes have been reported globally suggesting a pandemic is likely.Here, we explore how seasonal variation in transmissibility could modulate a SARS-CoV-2 pandemic. Data from routine diagnostics show a strong and consistent seasonal variation of the four endemic coronaviruses (229E, HKU1, NL63, OC43) and we parameterize our model for SARS-CoV-2 using these data. The model allows for many subpopulations of different size with variable parameters. Simulations of different scenarios show that plausible parameters result in a small peak in early 2020 in temperate regions of the Northern Hemisphere and a larger peak in winter 2020/2021. Variation in transmission and migration rates can result in substantial variation in prevalence between regions.While the uncertainty in parameters is large, the scenarios we explore show that transient reductions in the incidence rate might be due to a combination of seasonal variation and infection control efforts but do not necessarily mean the epidemic is contained. Seasonal forcing on SARS-CoV-2 should thus be taken into account in the further monitoring of the global transmission. The likely aggregated effect of seasonal variation, infection control measures, and transmission rate variation is a prolonged pandemic wave with lower prevalence at any given time, thereby providing a window of opportunity for better preparation of health care systems.

scholarly journals Nurse Leaders’ Reflections and Difficulties Fighting the NCP Epidemic： A Qualitative Study

2021 ◽  
Author(s):  
Jing Wang ◽  
Lihua Tang ◽  
Huanyuan Da ◽  
Huan Lu ◽  
Xinping Shi ◽  
...  
Keyword(s):  
Interpersonal Relationships ◽  
Health Care Systems ◽  
Nurse Leaders ◽  
Fear Learning ◽  
Survival Strategies ◽  
Internal Conflicts ◽  
The Future ◽  
Care Systems ◽  
Novel Coronavirus ◽  
Outstanding Leadership

Abstract Objective. To understand the difficulties and survival strategies in nursing during NCP outbreak, and to reflect and summarize the experience. Background. Since December 2019, the highly infectious novel coronavirus pneumonia overwhelmed health care systems and medical workers who had to provide care in situations involving high personal risk and stress, some becoming infected and dying. Nurse leaders had to develop new strategies for nursing care. Methods. Using the phenomenological research method in qualitative research, 8 head nurses who participated in NCP treatment were interviewed in-depth, and then Colaizzi 7-step analysis method was used to summarize.Results. Working under great pressure, nursing leaders led the team through a period of crisis: shock and fear, learning in chaos, supporting nurses, and rewarding nurses. Conclusion. As important intervention performers in the crisis, nurse leaders need to have their own outstanding leadership to effectively manage internal conflicts and interpersonal relationships, strengthen teamwork training and establish supportive system so as to better deal with the management of similar public health events in the future. Relevance to clinical practice. Findings will assist nurse leaders to prepare themselves in the outbreak. It is hoped that the results of this study will contribute to disaster management in similar infectious outbreaks in the future.

scholarly journals The role of Cardiac Magnetic Resonance (CMR) in the diagnosis of cardiomyopathy: A systematic review

2019 ◽  
Vol 31 (3) ◽  
pp. 240-244 ◽  
Author(s):  
Wang Zhaohui
Keyword(s):  
Systematic Review ◽  
Cardiac Magnetic Resonance ◽  
Magnetic Resonance ◽  
Health Care Systems ◽  
Heart Association ◽  
High Sensitivity ◽  
Current Therapy ◽  
Predictive Values ◽  
Care Systems ◽  
European Society Of Cardiology

BackgroundMyocardial pathologies are significant causes of morbidity and mortality in patients worldwide. Ischemic and non-ischemic cardiomyopathies have become a worldwide epidemic of the 21st century with an increasing impact on health care systems. The 2012 European Society of Cardiology and 2013 American College of Cardiology Foundation/American Heart Association guidelines provide current therapy guidance to reduce mortality and morbidity.MethodsThis was a systematic review involving cardiac magnetic resonance (CMR) studies for the diagnosis of cardiomyopathy from January 2013 to April 2017. Out of 62 reviewed studies, only 12 were included in our study.ResultsThe average sensitivity and specificity of CMR in the diagnosis of cardiomyopathy was 86.75% (95% confidence interval [CI], 70.30% to 92.58%) and 81.75% (95% CI, 73.0% to 87.6%), respectively, and the positive predictive and negative predictive values were 80.17% and 86.75%, respectively.ConclusionDespite some limitations, our study shows that CMR has high sensitivity, specificity, and positive predictive value in diagnosing different types of cardiomyopathy. CMR may be used to differentiate types of cardiomyopathy, accurately quantify the chamber dimensions, volumes, and cardiac function, which make it useful for prognosis as well.

I Will Use Declarative Self-Talk . . . or Will I? Replication, Extension, and Meta-Analyses

2018 ◽  
Vol 32 (1) ◽  
pp. 16-25 ◽  
Author(s):  
Judy L. Van Raalte ◽  
Allen E. Cornelius ◽  
Elizabeth M. Mullin ◽  
Britton W. Brewer ◽  
Erika D. Van Dyke ◽  
...  
Keyword(s):  
Perceived Exertion ◽  
The Self ◽  
Group Differences ◽  
Control Group ◽  
Significant Group ◽  
Self Talk ◽  
Outcome Differences ◽  
And Performance ◽  
Meta Analyses ◽  
And Control

A series of studies was conducted by Senay et al. in 2010 to replicate and extend research indicating that self-posed questions have performance benefits. Studies 1–3 compared the effects of the self-posed interrogative question (“Will I?”) to declarative (“I will”) and control self-talk, and found no significant group differences in motivation, perceived exertion, or performance. In Studies 4–5, interrogative, declarative, and control self-talk primes were compared, and no outcome differences were found. In Study 6, the effects of self-talk on motivation, perceived exertion, and physical performance were assessed. The self-talk groups performed better and were more motivated than the control group, but declarative and interrogative groups did not differ from each other. Finally, meta-analyses of the six studies indicated no significant differences among conditions. These results highlight the value of replication and suggest that factors other than grammatical form of self-posed questions may drive the demonstrated relationships between self-talk and performance.

Dancing With Death in the Dust of Coronavirus: The Lived Experience of Iranian Nurses

2020 ◽  
Vol 26 (4) ◽  
pp. e82-e89
Author(s):  
Fatemeh Bahramnezhad ◽  
Parvaneh Asgari
Keyword(s):  
Health Care ◽  
Lived Experience ◽  
Health Care Providers ◽  
Health Care Systems ◽  
Phenomenological Approach ◽  
Care Providers ◽  
Care Systems ◽  
Interpretative Phenomenological Approach ◽  
Communication Challenges ◽  
Novel Coronavirus

The novel coronavirus disease (COVID-19) pandemic as a public health emergency poses dramatic challenges for health-care systems. The experiences of health-care workers are important in planning for future outbreaks of infectious diseases. This study explored the lived experiences of 14 nurses in Tehran, Iran caring for coronavirus patients using an interpretative phenomenological approach as described by Van Manen. In-depth interviews were audio-recorded between March 10 and May 5, 2020. The essence of the nurses' experiences caring for patients with COVID-19 was categorized as three themes and eight subthemes: (a) Strong pressure because of coronavirus: initial fear, loneliness, communication challenges, exhaustion. (b) Turn threats into opportunities: improvement of nursing image, professional development. (c) Nurses' expectations: expectations of people, expectations of government. The findings of this study showed that identifying the challenges and needs of health-care providers is necessary to create a safe health-care system and to prepare nurses and expand their knowledge and attitudes to care for patients in new crises in the future.

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