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1.
Computers in Biology and Medicine ; 153:106520, 2023.
Article in English | ScienceDirect | ID: covidwho-2165196

ABSTRACT

Feature selection (FS) is a popular data pre-processing technique in machine learning to extract the optimal features to maintain or increase the classification accuracy of the dataset, which is a combinatorial optimization problem, requiring a powerful optimizer to obtain the optimum subset. The equilibrium optimizer (EO) is a recent physical-based metaheuristic algorithm with good performance for various optimization problems, but it may encounter premature or the local convergence in feature selection. This work presents a self-adaptive quantum EO with artificial bee colony for feature selection, named SQEOABC. In the proposed algorithm, the quantum theory and the self-adaptive mechanism are employed into the updating rule of EO to enhance convergence, and the updating mechanism from the artificial bee colony is also incorporated into EO to achieve appropriate FS solutions. In the experiments, 25 benchmark datasets from the UCI repository are investigated to verify SQEOABC, which is compared with several state-of-the-art metaheuristic algorithms and the variants of EO. The statistical results of fitness values and accuracy demonstrate that SQEOABC has better performance than the compared algorithms and the variants of EO. Finally, a real-world FS problem from COVID-19 illustrates the effectiveness and superiority of SQEOABC.

2.
Geriatric Nursing ; 49:101-108, 2023.
Article in English | ScienceDirect | ID: covidwho-2130886

ABSTRACT

Social frailty is a geriatric public health problem that deeply affects healthy aging. Currently, evidence on the prevalence and factors associated with social frailty in older adults remains unclear. Our study aims to estimate the prevalence and related factors of social frailty in older adults. This study retrieved nine electronic databases searched through July 5th, 2022. The prevalence of social frailty was pooled using Stata software. It was found that older adults suffered from a “moderate” level of social frailty. We found a higher prevalence of social frailty in the United Kingdom, Greece, Croatia, The Netherlands, and Spain, in people over 75 years, in hospitals, and during the Coronavirus Disease 2019 (COVID-19). We believed that countries, age, research sites, and the pandemic of COVID-19 were influencing factors of social frailty among older adults. These findings may provide a theoretical basis for the development of ameliorating social frailty among older adults.

3.
Front Public Health ; 10: 1015316, 2022.
Article in English | MEDLINE | ID: covidwho-2099276

ABSTRACT

Background: In March 2022, Shanghai, China, was hit by a severe wave of SARS-CoV-2 transmission caused by the Omicron variant strain. The medical staff was greatly infected during this period, which posed a traumatic event for them. Meanwhile, they also experience post-traumatic growth under introspection and positive change. However, the psychological coping and growth after infection with COVID-19 among medical staff have rarely been investigated. Objectives: To explore the process and influencing factors of post-traumatic growth among emergency nurses infected with coronavirus disease (COVID-19) so as to provide a new perspective and theoretical basis for psychological rehabilitation or intervention for medical staff who experienced traumatic events. Methods: The study used a qualitative design based on the phenomenological approach. A purposive sampling method was used to explore the subjective feelings and post-traumatic growth among 13 first-line emergency nurses infected with COVID-19 in Shanghai, China. Semi-structured face-to-face interviews were conducted in June 2022. A Seven-step Colaizzi process was used for data analysis. Results: Themes were described and extracted from the experience and insights at different stages during the fight against the virus. Three main themes, i.e., stress period, adjustment period, and growth period, as well as several sub-themes, were identified. Conclusion: First-line emergency nurses infected with COVID-19 are a sensitive group that should be given more attention. Investigating how they achieve psychological adjustment and growth in the case of severe trauma can provide valuable references for nursing management and education in the future. Society, hospital and nursing managers should pay more attention to the PTG of nurses and establish supportive PTG strategies, which will benefit the retention rate and career development of nurses.


Subject(s)
COVID-19 , Nursing Staff, Hospital , Posttraumatic Growth, Psychological , Humans , SARS-CoV-2 , COVID-19/epidemiology , Nursing Staff, Hospital/psychology , China/epidemiology
4.
Frontiers in public health ; 10, 2022.
Article in English | EuropePMC | ID: covidwho-2073362

ABSTRACT

Background With the development of society, nurses have an increasingly more important role in the medical team. At the same time, due to various reasons, the number of active nurses is continuously decreasing, and the shortage of nursing personnel is becoming ever more serious. The COVID-19 pandemic made these clinical problems more serious. As the department with the greatest work pressure and the most intense pace, acute and critical care nurses are already facing serious problems related to job burnout and dismission. In the context of the COVID-19 pandemic, these problems should be solved urgently. Furthermore, with the rise of positive psychology, many scholars are turning their research direction to the positive professional experience of nurses so as to get inspiration to encourage nurses to face work with an optimistic attitude and guide nursing managers to better retain nursing talents. Objective The purpose of this paper is to summarize and evaluate the positive emotional experience and professional benefit of acute and critical care specialist nurses in the process of work. So as to better interpret their occupational benefit perception and guide nursing managers in adopting positive measures and promoting the development of high-quality nursing. Methods Cinahl plus, Embase, Medline and other twelve databases were searched for relevant literature. Meta-aggregation was used to synthesize the findings of the included studies. Results From a total of 12 articles included in this study, 55 main results were presented, 8 new categories were integrated, and three themes were formed: professional identity, social support, and personal growth. The professional identity included: being proud of professional ability and increasing professional value;social support included: friends and family support, organizational, environmental support, peer support, and support of patients and their families;personal growth included realizing self-worth and promoting self-development. Conclusion Hospital managers should pay attention to the positive emotional experience of nurses in work and based on this, provide practical and beneficial protection for nurses from the aspects of salary, learning opportunities, working environment, social support and internal personality, stimulate work enthusiasm, guide nurses to correctly face negative emotions and occupational pressure, and improve the sense of professional benefit.

5.
Frontiers in psychology ; 13, 2022.
Article in English | EuropePMC | ID: covidwho-2073361

ABSTRACT

The COVID-19 pandemic has devastated the global tourism industry. This study explores why some Chinese residents travel during the pandemic. A mixed-methods research design was adopted, guided by the health belief model and relevant literature. Through 21 interviews with Chinese tourists who took an overnight leisure trip in May 2020, and a national survey among Chinese residents, this study explored factors influencing Chinese residents’ travel-related decisions and behaviors during the pandemic. Results outline the influences of health beliefs, government trust, past travel experience, and psychological capital on tourists’ risk-reduction behaviors. Theoretical and practical implications are provided regarding tourism recovery during pandemics.

6.
Psychol Health Med ; : 1-8, 2022 Oct 06.
Article in English | MEDLINE | ID: covidwho-2050949

ABSTRACT

The adverse impact of the COVID-19 pandemic on mental health has been widely concerned, but the research on positive psychological factors is insufficient, this study aims to investigate the prevalence and factors of posttraumatic growth (PTG) among residents in the worst-hit areas of China (Hubei Province). We were conducted in three disaster areas with different severity in Hubei Province three months after the outbreak, and the data were from 575 respondents. Instruments included the simplified Chinese version of the Posttraumatic Growth Inventory (C-PTGI) and the public health emergency psychological questionnaire. Nonparametric tests, Spearman correlation analyses, and multiple linear regression equations were used to analyze the data. The results showed that three months after the outbreak of COVID-19, the PTG of Hubei residents was at a low level, and their sense of fear was the most prominent, with a positive detection rate of 82.09%. According to the results of this study, high PTG levels were associated with high levels of fear, married and healthcare providers, while low levels of PTG were associated with serious chronic diseases, males, good economic status, and poor prevention and control measures. Government departments should strengthen social support for residents, carry out necessary stress management training to help them correctly deal with negative emotions and promote their personal growth.

7.
J Environ Public Health ; 2022: 6294436, 2022.
Article in English | MEDLINE | ID: covidwho-2020519

ABSTRACT

Climate change is a serious threat to humankind. As broad public participation is required in climate change mitigation efforts, it is critical to understand how the public talk about climate change on social media. This study sets out to increase the understanding of Chinese public awareness of climate change, as well as explore the potential and limitations of social media for public engagement on climate change issues. It examines the Chinese public's discussion about climate change on social media Weibo during the last six years through data mining and text analysis. The analyses include volume analysis, keyword extraction, topic modeling, and sentiment analysis. The results indicate three main aspects of public awareness and concern regarding climate change. First, public awareness of climate change is growing in China. Second, the sentiment analysis shows that the general sentiment toward climate change is becoming more positive over time. Third, based on keyword extraction and topic modeling, the discussion on climate change shows a top-down perspective, an optimistic economic perspective, and a preference for celebrity content. The study provides a comprehensive picture of Chinese social media users' views on climate change issues, based on large-scale research data. It contributes to a better understanding of what Chinese people think about climate change on social media generally. These findings may provide government and environmental organizations with valuable insights for better climate change campaigns on social media.


Subject(s)
Social Media , China , Climate Change , Data Mining/methods , Humans , Public Opinion
8.
Journal of Pain and Symptom Management ; 63(5):860-861, 2022.
Article in English | ScienceDirect | ID: covidwho-1783540

ABSTRACT

Outcomes 1. Examine impact of an embedded model of palliative care delivery in the ICU 2. Brainstorm how to adapt this model of delivery into other ICU settings Background When palliative care is embedded in the medical intensive care unit (MICU), more critically ill patients with unmet palliative care needs can receive an earlier consultation and more value-aligned medical care. Aim Statement To describe an embedded physician (MD) + registered nurse (RN)-led palliative care consultation team in the MICU. To compare timing of consultation, goals of care documentation, and in-ICU mortality before and after the embedded team is implemented. Methods In a retrospective cohort study, we compared patients who received a referral-based MICU consult (pre-embedded) from 01/01/2019 to 06/30/2019, an MD/RN consult (embedded) from 09/01/2019 to 02/28/2020 and an adapted COVID MICU consult from 03/1/2020 to 8/31/2020. Using the electronic health record, we collected sociodemographic and clinical data to compare the consultation volume, patient sociodemographics, rates of documentation of medical decision makers and goals of care, and in-ICU deaths. Results The number of patients who received a MICU palliative care consult increased by 2.4 times (63 patients [pre] vs 169 patients [embedded]) As compared to pre-embedded, there was a significant increase in the documentation of medical decision makers (39% vs 90%, p < .001) and goals of care (34% vs. 90%, p < .001) during the embedded period. Patients were seen earlier in the hospitalization (median 9 days [pre-embedded] vs 3 days [embedded], p < .001);the rate of in-ICU death decreased (75% vs 43%, p < .001). During COVID, there was no change in documentation of decision makers (90% [embedded] vs 93% [COVID], p = .24), goals of care (98% vs 99%, p = 0.63), or time to consult (3 days vs 4 days, p = .08), yet, the rate of in-ICU death increased (43% vs 58%, p = .01). Conclusions and Implications The embedded model provided earlier consultation, increased medical decision maker and goals of care documentation, and decreased in-ICU mortality for MICU patients. Future work will examine how to adapt this model to other ICUs to improve palliative care access for critically ill patients.

9.
Dyn Games Appl ; 12(1): 288-311, 2022.
Article in English | MEDLINE | ID: covidwho-1749940

ABSTRACT

During epidemics, the population is asked to socially distance, with pairs of individuals keeping two meters apart. We model this as a new optimization problem by considering a team of agents placed on the nodes of a network. Their common aim is to achieve pairwise graph distances of at least D,  a state we call socially distanced. (If D = 1 , they want to be at distinct nodes; if D = 2 they want to be non-adjacent.) We allow only a simple type of motion called a lazy random walk: with probability p (called the laziness parameter), they remain at their current node next period; with complementary probability 1 - p , they move to a random adjacent node. The team seeks the common value of p which achieves social distance in the least expected time, which is the absorption time of a Markov chain. We observe that the same Markov chain, with different goals (absorbing states), models the gathering, or multi-rendezvous problem (all agents at the same node). Allowing distinct laziness for two types of agents (searchers and hider) extends the existing literature on predator-prey search games to multiple searchers. We consider only special networks: line, cycle and grid.

10.
J Psychosoc Nurs Ment Health Serv ; 60(4): 39-46, 2022 Apr.
Article in English | MEDLINE | ID: covidwho-1542855

ABSTRACT

The aim of the current study was to investigate psychological symptoms and post-traumatic growth (PTG) among the general population in Wuhan, China during the coronavirus disease 2019 (COVID-19) pandemic. An online survey was conducted using convenience sampling. Participants were invited to fill out this questionnaire, which included information on sociodemographic characteristics and other survey objectives. The Psychological Questionnaire for Emergent Events of Public Health (PQEEPH) and the Chinese version of the Posttraumatic Growth Inventory (PTGI) were used. The prevalence of depression, neurasthenia, fear, obsessive-anxiety, and hypochondriasis among 311 participants were 61.1%, 69.8%, 97.8%, 57.2%, and 45%, respectively. Results indicated that a substantial proportion of the general population may have experienced psychological symptoms as well as PTG, due to the COVID-19 pandemic. Findings demonstrate the importance of developing targeted psychological interventions for those at risk for mental health symptoms. [Journal of Psychosocial Nursing and Mental Health Services, 60(4), 39-46.].


Subject(s)
COVID-19 , Posttraumatic Growth, Psychological , Anxiety/epidemiology , Anxiety/psychology , COVID-19/epidemiology , China/epidemiology , Cross-Sectional Studies , Depression/epidemiology , Depression/psychology , Humans , Pandemics , SARS-CoV-2 , Surveys and Questionnaires
11.
Zhongguo Zhen Jiu ; 41(10): 1109-12, 2021 Oct 12.
Article in Chinese | MEDLINE | ID: covidwho-1464064

ABSTRACT

OBJECTIVE: To observe the effect of moxibustion combined with Daiwenjiu plaster on mental disorder and self rating symptoms in close contacts of coronavirus disease 2019 (COVID-19) during quarantine. METHODS: A total of 240 close contacts of COVID-19 were randomized into an observation group (120 cases, 18 cases dropped off) and a control group (120 cases, 58 cases dropped off). Conventional observation was adopted in the control group. Moxibustion combined with Daiwenjiu plaster was given in the observation group, moxibustion was applied at Zusanli (ST 36), Hegu (LI 4) and Shenque (CV 8), 10 min each acupoint, once a day; Daiwenjiu plaster was applied at Dazhui (GV 14) and Feishu (BL 13) for 3 to 6 h each time, once every 2 days, the treatment was required for 2 weeks. Before and after treatment and in the follow-up of 2 weeks after treatment, self-reporting questionnaire 20 (SRQ-20), self-rating anxiety scale (SAS) scores and self rating symptoms were evaluated in the two groups. RESULTS: In the follow-up, SRQ-20 score was decreased compared before treatment (P<0.01), SAS score was decreased compared before and after treatment (P<0.01, P<0.05) in the observation group. After treatment and in the follow-up, SRQ-20 scores in the observation group were lower than those in the control group (P<0.05, P<0.01). After treatment, the case proportion of fatigue in the observation group was higher than that in the control group (P<0.05). In the follow-up, the case proportion of tension was lower than that in the control group (P<0.05). CONCLUSION: Moxibustion combined with Daiwenjiu plaster can effectively improve the mental disorder in close contacts of COVID-19.


Subject(s)
COVID-19 , Mental Disorders , Moxibustion , Acupuncture Points , Humans , SARS-CoV-2
12.
J Palliat Med ; 25(1): 124-129, 2022 01.
Article in English | MEDLINE | ID: covidwho-1462259

ABSTRACT

Background: Palliative care (PC) services expanded rapidly to meet the needs of coronavirus disease 2019 (COVID-19) patients, yet little is known about which patients were referred for PC consultation during the pandemic. Objective: Examine factors predictive of PC consultation for COVID-19 patients. Design: Retrospective cohort study of COVID-19 patients discharged from four hospitals (March 1-June 30, 2020). Exposures: Patient demographic, socioeconomic, and clinical factors and hospital-level characteristics. Outcome Measurement: Inpatient PC consultation. Results: Of 4319 hospitalized COVID-19 patients, 581 (14%) received PC consultation. Increasing age, serious illness (cancer, chronic obstructive pulmonary disease, and dementia), greater illness severity, and admission to the quaternary hospital were associated with receipt of PC consultation. There was no association between PC consultation and race/ethnicity, household crowding, insurance status, or hospital-factors, including inpatient, emergency department, and intensive care unit census. Conclusions: Although site variation existed, the highest acuity patients were most likely to receive PC consultation without racial/ethnic or socioeconomic disparities.


Subject(s)
COVID-19 , Adult , Crowding , Family Characteristics , Humans , Palliative Care , Pandemics , Referral and Consultation , Retrospective Studies , SARS-CoV-2 , Urban Health
13.
Biochem Pharmacol ; 189: 114424, 2021 07.
Article in English | MEDLINE | ID: covidwho-1269238

ABSTRACT

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has caused a global pandemic. Three viral proteins, the spike protein (S) for attachment of virus to host cells, 3-chymotrypsin-like cysteine protease (Mpro) for digestion of viral polyproteins to functional proteins, and RNA-dependent-RNA-polymerase (RdRp) for RNA synthesis are the most critical proteins for virus infection and replication, rendering them the most important drug targets for both antibody and chemical drugs. Due to its low-fidelity polymerase, the virus is subject to frequent mutations. To date, the sequence data from tens of thousands of virus isolates have revealed hundreds of mutations. Although most mutations have a minimum consequence, a small number of non-synonymous mutations may alter the virulence and antigenicity of the mutants. To evaluate the effects of viral mutations on drug safety and efficacy, we reviewed the biochemical features of the three main proteins and their potentials as drug targets, and analyzed the mutation profiles and their impacts on RNA therapeutics. We believe that monitoring and predicting mutation-introduced protein conformational changes in the three key viral proteins and evaluating their binding affinities and enzymatic activities with the U.S. Food and Drug Administration (FDA) regulated drugs by using computational modeling and machine learning processes can provide valuable information for the consideration of drug efficacy and drug safety for drug developers and drug reviewers. Finally, we propose an interactive database for drug developers and reviewers to use in evaluating the safety and efficacy of U.S. FDA regulated drugs with regard to viral mutations.


Subject(s)
COVID-19/drug therapy , COVID-19/genetics , Mutation/genetics , RNA/genetics , SARS-CoV-2/genetics , Spike Glycoprotein, Coronavirus/genetics , Animals , Antiviral Agents/metabolism , Antiviral Agents/therapeutic use , COVID-19/metabolism , Drug Approval/methods , Drug Development/methods , Drug Development/trends , Humans , RNA/metabolism , RNA/therapeutic use , SARS-CoV-2/drug effects , SARS-CoV-2/metabolism , Spike Glycoprotein, Coronavirus/metabolism
14.
Front Mol Biosci ; 8: 651662, 2021.
Article in English | MEDLINE | ID: covidwho-1211830

ABSTRACT

BACKGROUND: Tocilizumab (TCZ), an interleukin-6 receptor antibody, has previously been used for treating patients with the coronavirus disease 2019 (COVID-19), but there is a lack of data regarding the administration timing of TCZ. OBJECTIVES: This study aimed to evaluate the timing and efficacy of TCZ in the treatment of patients with COVID-19. METHODS: Laboratory-confirmed patients with COVID-19 with an elevated interleukin-6 (IL-6) level (>10 pg/ml) were offered TCZ intravenously for compassionate use. Clinical characteristics, laboratory tests, and chest imaging before and after the administration of TCZ were retrospectively analyzed. RESULTS: A total of 58 consecutive patients who met the inclusion criteria and with no compliance to the exclusion criteria were included. Of these 58 patients, 39 patients received TCZ treatment, and 19 patients who declined TCZ treatment were used as the control cohort. In the TCZ-treatment group, 6 patients (15.4%) were in mild condition, 16 (41.0%) were in severe condition, and 17 (43.6%) were in critical condition. After TCZ treatment, the condition of 27 patients (69.2%) improved and 12 (30.8%) died. Compared with the improvement group, patients in the death group had higher baseline levels of IL-6 (P = 0.0191) and procalcitonin (PCT) (P = 0.0003) and lower lymphocyte percentage (LYM) (P = 0.0059). Patients receiving TCZ treatment had better prognoses than those without TCZ treatment (P = 0.0273). Furthermore, patients with a baseline IL-6 level of ≥100 pg/ml in the TCZ-treatment group had poorer clinical outcomes than those with an IL-6 level of <100 pg/ml (P = 0.0051). CONCLUSION: The administration of TCZ in an early stage of cytokine storm (IL-6 level < 100 pg/ml) may effectively improve the clinical prognosis of patients with COVID-19 by blocking the IL-6 signal pathway.

16.
Nano Today ; 39: 101161, 2021 Aug.
Article in English | MEDLINE | ID: covidwho-1188914

ABSTRACT

The family of coronavirus are named for their crown shape. Encoded by the genetic material inherited from the coronavirus itself, this intrinsic well-known "viral corona" is considered an "inherited corona". After contact with mucosa or the entrance into the host, bare coronaviruses can become covered by a group of dissolved biomolecules to form one or multiple layers of biomolecules. The layers acquired from the surrounding environment are named the "acquired corona". We highlight here the possible role of the acquired corona in the pathogenesis of coronaviruses, which will generate fresh insight into the nature of various coronavirus-host interactions.

17.
Air Qual Atmos Health ; 14(7): 1049-1061, 2021.
Article in English | MEDLINE | ID: covidwho-1147619

ABSTRACT

Hospitalisation risks for chronic obstructive pulmonary disease (COPD) have been attributed to ambient air pollution worldwide. However, a rise in COPD hospitalisations may indicate a considerable increase in fatality rate in public health. The current study focuses on the association between consecutive ambient air pollution (CAAP) and COPD hospitalisation to offer predictable early guidance towards estimates of COPD hospital admissions in the event of consecutive exposure to air pollution. Big data analytics were collected from 3-year time series recordings (from 2015 to 2017) of both air data and COPD hospitalisation data in the Chengdu region in China. Based on the combined effects of CAAP and unit increase in air pollutant concentrations, a quasi-Poisson regression model was established, which revealed the association between CAAP and estimated COPD admissions. The results show the dynamics and outbreaks in the variations in COPD admissions in response to CAAP. Cross-validation and mean squared error (MSE) are applied to validate the goodness of fit. In both short-term and long-term air pollution exposures, Z test outcomes show that the COPD hospitalisation risk is greater for men than for women; similarly, the occurrence of COPD hospital admissions in the group of elderly people (> 65 years old) is significantly larger than that in lower age groups. The time lag between the air quality and COPD hospitalisation is also investigated, and a peak of COPD hospitalisation risk is found to lag 2 days for air quality index (AQI) and PM10, and 1 day for PM2.5. The big data-based predictive paradigm would be a measure for the early detection of a public health event in post-COVID-19. The study findings can also provide guidance for COPD admissions in the event of consecutive exposure to air pollution in the Chengdu region.

20.
Nurs Open ; 2020 Aug 04.
Article in English | MEDLINE | ID: covidwho-725901

ABSTRACT

AIM: To explore an effective personalized training model for nurses working in emergency isolation wards of COVID-19 in a short period. DESIGN: This study is a longitudinal study from 24 January 2020 to 28 February 2020. METHODS: There are 71 nursing staff working in the emergency isolation wards of Sichuan Provincial People's Hospital that participated in this study. The questionnaires were conducted with Likert scale. The operation assessment teachers have received standardized training. The self-rating anxiety scale (SAS) and self-rating depression Scale (SDS) were applied to assess the mental state of nurses. RESULTS: After short-term training, these nurses can handle the emergency tasks in a timely manner. The pass rate of nurse theory and operation assessment is 100%. The 111 suspected patients admitted to the emergency isolation ward have been scientifically diagnosed and treated, the three confirmed patients have received appropriate treatment. No nurses have been infected. CONCLUSIONS: In this study, the personalized emergency training mode was feasible in the emergency isolation ward during the COVID-19 epidemic, which rapidly improved the rescue ability of nurses and effectively avoid the occurrence of cross-infection. This mode can provide a valuable reference for the emergency training of nurses in the future.

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