Showing papers in "Healthcare in 2020"

TL;DR: This perspective paper, written one month after detection and during the outbreak, surveys the virus outbreak from an urban standpoint and advances how smart city networks should work towards enhancing standardization protocols for increased data sharing in the event of outbreaks or disasters, leading to better global understanding and management of the same.

TL;DR: This paper uses a questionnaire survey and web crawler to collect experience data of online and offline users, constructs a customer satisfaction index system by analyzing emotion and the existing literature for quantitative analysis, and builds aback propagation (BP) neural network model to forecast user satisfaction.

TL;DR: The main objective is to do an in-depth analysis of healthcare data breaches and draw inferences from them, thereby using the findings to improve healthcare data confidentiality, and employs the simple moving average method and the simple exponential soothing method of time series analysis to examine the trend of healthcareData breaches and their cost.

TL;DR: Results from the studies generally showed that the introduction of COVID-19 has heightened existing challenges that physicians face such as increasing workload, which is directly correlated with increased burnout, however, exposure to CO VID-19 does not necessarily correlate with increasedBurnout and is an area for more research.

TL;DR: A simplified Government–Expert–Public risk communication model is employed to illustrate a collaborative network for effective risk communication reflecting on the COVID-19 (2019-nCoV) outbreak in Wuhan, China.

TL;DR: The simulation results of the multiple ensemble neural network models with fuzzy response integration show very good predicted values in the validation data set and the prediction errors are significantly lower than using traditional monolithic neural networks, in this way showing the advantages of the proposed approach.

TL;DR: Consideration is given to how understanding COVID-19 in the context of social determinants and stigma may be included in interventions to mitigate its transmission within vulnerable populations.

TL;DR: Developing empathetic skills should not only be the underlying objective in the teaching process of health and social care undergraduate students, but also the subject of the lifelong and continuous education of professionals.

TL;DR: This study presents the design of a sophisticated artificial intelligence (AI) chatbot for the purpose of diagnostic evaluation and recommending immediate measures when patients are exposed to nCOV-19 and shows how a virtual assistant can also measure the infection severity and connects with registered doctors when symptoms become serious.

TL;DR: This paper explores the technological and social barriers in adoption of SHS by analyzing state-of-the-art expert views and user's perception and proposes a blockchain based SHS framework to provide intrinsic security and integrity of the system.

TL;DR: Results obtained with the logistic regression model with all features included showed the highest classification accuracy (98.1%), and the proposed approach revealed the enhancement in accuracy performances indicated the potential to open new opportunities in the detection of breast cancer.

TL;DR: Both personal and environmental coping resources are relevant to subjective wellbeing in adolescence and should be taken into account for prevention and early intervention in youth mental health.

TL;DR: An automated pre-hospital triage solution to direct patients to the appropriate care setting before they showed up at the emergency department, which would otherwise consume resources, expose other patients and staff to potential viral transmission, and further exacerbate supply-and demand mismatching.

TL;DR: The results show that China leads all other countries in the range of 29 days for South Korea and 44 days for the United States, and the future collapse of the healthcare systems of the United Kingdom and Switzerland in case of the explosion scenario is predicted.

TL;DR: The prevalence rate of post-traumatic stress disorder (PTSD) was 20.3% in patients with COVID-19 who had been hospitalized, treated and discharged in Daegu, Korea, and clinicians should be aware of the high possibility of PTSD among CO VID-19 patients.

TL;DR: Analyzing psychological distress in a sample of Spanish population, identifying the predictive nature of the information received, the preventive measures taken, level of concern, beliefs, and knowledge about the infection could help design more effective strategies towards a psycho-emotional approach for the population when in similar health crisis situations.

TL;DR: The review includes 45 studies that show that there is a high pressure of care for Primary Care nursing, who suffer many alterations of their health due to burnout syndrome and that this situation contributes to the impairment of the quality of care and patient safety.

TL;DR: A lack of knowledge in fundamental aspects of disinfection protocols with a significant and positive attitude from dental health professionals toward disinfection regarding the coronavirus 2019 (COVID-19) pandemic is indicated.

TL;DR: CBT has no subjective clinically meaningful effect in nine out of every ten patients that are treated with it, and it seems unlikely that CBT will reduce disability or lead to objective improvement in long COVID or in post-COVID-19 fatigue syndrome.

TL;DR: A drive-through vaccination simulation tool is introduced that can be used to enhance the planning, design, operation, and feasibility and effectiveness assessment of such facilities.

TL;DR: Although imperfect, unique responses were developed within telemedicine platforms to mitigate disruptions broadly and effectively in care and treatment modalities to afford access to critical services and to maintain safety standards.

TL;DR: Extreme Gradient Boosting has more outstanding prediction accuracy and generalization ability than existing algorithms in predicting the risk of type 2 diabetes, which is conducive to the intelligent prevention and control of diabetes in the future.

TL;DR: On 31 December, 2019, a cluster of 27 pneumonia cases of unknown etiology was reported by Chinese health authorities in Wuhan City (China) and the cause is still unknown.

TL;DR: Results show that new blockchain-based digital platforms allow for fast, easy, and seamless interactions between data suppliers to enhance privacy and data security, including for patients themselves.

TL;DR: The authors anticipate that usage of these strategies at the individual and the community level should greatly benefit the mental well-being not only in the current COVID-19 pandemic but also in any future epidemics at the national level.

TL;DR: Examining previous responses and gathering lessons learned in each country will improve global responses to COVID-19 and strengthen regional health security and clarify the previous decision-making process of each countermeasure towards CO VID-19.

TL;DR: The main results highlight high levels of anxiety and stress, concentration disorders, and psychosomatization, and in several cases, there was a reactivation of previous traumas and sleep was found qualitatively compromised.

TL;DR: Supporting older adults in engaging in activities that provide a sense of purpose in life could contribute to their present and future overall health including mental health.

TL;DR: To improve HRQOL among older adults, nursing interventions are required to measure health literacy, empower physical health-promoting behavior and self-efficacy, and enhance emotional-informational support from family or other resources.

TL;DR: To encourage people to stay at home during the pandemic and social lockdown, increasing the perceived severity of infection by COVID-19 and self-efficacy in terms of exercising restraint with respect to going out may inspire people toStay at home.