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1.
Chinese Journal of School Health ; 42(10):1491-1494, 2021.
Article in Chinese | GIM | ID: covidwho-1609206

ABSTRACT

Objective To describe online learning and eye strain situation of college students during the COVID-19 outbreak, to provide a scientific basis for guiding students' eye health. Methods A self-filled electronic questionnaire survey through questionnaire star was administered to college students across China. Information about online learning and eye strain of 1 046 college students during the epidemic was collected in Hefei, Anhui Province from March 16 to 20, 2020. The univariate and multivariate Logistic regression analysis were performed to analyze the association between online learning and eye strain of college students. Results The rate of eye strain during online learning was 72.1%, totally of 68.4% in 421 male students and 74.6% in 625 female students. Boys with online learning time < 6 h/d, slow internet access, difficulty in understanding online class reported higher rate of eye strain than girls(X 2=17.36, 8.72, 7.02, P < 0.05). Freshmen reported the highest rate of slow internet access occasionally and active online class(X 2=15.26, 16.11, P < 0.05), junior students reported highest rate of online learning time < 6 h/d, and easy understandable online class(X 2=15.33, 32.59, P < 0.05), medical college students reported higher rate of slow internet access, inactive online class than non-medical college students(X 2=11.79, 11.03, P < 0.05). Multivariate Logistic regression analysis showed that odds ratio(OR) of eye strain in females was 1.40 (1.06-1.87), compared with males;the OR of eye strain were 1.43 (1.01-2.03) and 1.54 (1.10-2.15) in the groups with online learning time 6- < 8 h/d and 8 h/d, respectively, compared with the group with online learning time < 6 h/d, the OR of eye strain in the groups with slow internet access was 2.28 (1.25-4.14), compared with students without slow internet access, the OR of eye strain in the capable-to-understand and difficult-to-understand group were 2.54 (1.73-3.74) and 5.40 (2.70-10.80) respectively, compared with the easy-to-understand group. Conclusion Female students, online learing time 8 h/d, slow internet access, difficult to understand class content were positively related with college students eye strain. Attention should be paid to the eye health of college students to reduce the adverse effects of online learning on vision.during the COVID-19 epidemic.

2.
Preprint in English | EuropePMC | ID: ppcovidwho-296377

ABSTRACT

The evolution of epidemiological parameters, such as instantaneous reproduction number Rt, is important for understanding the transmission dynamics of infectious diseases. Current estimates of time-varying epidemiological parameters often face problems such as lagging observations, averaging inference, and improper quantification of uncertainties. To address these problems, we propose a Bayesian data assimilation framework for time-varying parameter estimation. Specifically, this framework is applied to Rt estimation, resulting in the state-of-the-art DARt system. With DARt, time misalignment caused by lagging observations is tackled by incorporating observation delays into the joint inference of infections and Rt;the drawback of averaging is overcome by instantaneously updating upon new observations and developing a model selection mechanism that captures abrupt changes;the uncertainty is quantified and reduced by employing Bayesian smoothing. We validate the performance of DARt and demonstrate its power in revealing the transmission dynamics of COVID-19. The proposed approach provides a promising solution for accurate and timely estimating transmission dynamics from reported data.

3.
IEEE Rev Biomed Eng ; 14: 16-29, 2021.
Article in English | MEDLINE | ID: covidwho-1501334

ABSTRACT

Coronavirus disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is spreading rapidly around the world, resulting in a massive death toll. Lung infection or pneumonia is the common complication of COVID-19, and imaging techniques, especially computed tomography (CT), have played an important role in diagnosis and treatment assessment of the disease. Herein, we review the imaging characteristics and computing models that have been applied for the management of COVID-19. CT, positron emission tomography - CT (PET/CT), lung ultrasound, and magnetic resonance imaging (MRI) have been used for detection, treatment, and follow-up. The quantitative analysis of imaging data using artificial intelligence (AI) is also explored. Our findings indicate that typical imaging characteristics and their changes can play crucial roles in the detection and management of COVID-19. In addition, AI or other quantitative image analysis methods are urgently needed to maximize the value of imaging in the management of COVID-19.


Subject(s)
COVID-19/diagnosis , Artificial Intelligence , COVID-19/diagnostic imaging , Humans , Lung/diagnostic imaging , Lung/virology , Positron Emission Tomography Computed Tomography/methods , SARS-CoV-2/pathogenicity , Tomography, X-Ray Computed/methods , Ultrasonography/methods
5.
J Pediatr ; 2021 Sep 21.
Article in English | MEDLINE | ID: covidwho-1490349

ABSTRACT

We compared cardiac findings in patients with multisystem inflammatory syndrome in children and Kawasaki disease in the first 6 months of the 2020 coronavirus disease pandemic to patients with Kawasaki disease during 2016-2019. We saw a high rate of coronary aneurysms in 2020, with a similar rate of coronary involvement but greater volume and incidence of cardiac dysfunction compared with previous years.

6.
Pattern Recognit ; 122: 108341, 2022 Feb.
Article in English | MEDLINE | ID: covidwho-1415697

ABSTRACT

Segmentation of infections from CT scans is important for accurate diagnosis and follow-up in tackling the COVID-19. Although the convolutional neural network has great potential to automate the segmentation task, most existing deep learning-based infection segmentation methods require fully annotated ground-truth labels for training, which is time-consuming and labor-intensive. This paper proposed a novel weakly supervised segmentation method for COVID-19 infections in CT slices, which only requires scribble supervision and is enhanced with the uncertainty-aware self-ensembling and transformation-consistent techniques. Specifically, to deal with the difficulty caused by the shortage of supervision, an uncertainty-aware mean teacher is incorporated into the scribble-based segmentation method, encouraging the segmentation predictions to be consistent under different perturbations for an input image. This mean teacher model can guide the student model to be trained using information in images without requiring manual annotations. On the other hand, considering the output of the mean teacher contains both correct and unreliable predictions, equally treating each prediction in the teacher model may degrade the performance of the student network. To alleviate this problem, the pixel level uncertainty measure on the predictions of the teacher model is calculated, and then the student model is only guided by reliable predictions from the teacher model. To further regularize the network, a transformation-consistent strategy is also incorporated, which requires the prediction to follow the same transformation if a transform is performed on an input image of the network. The proposed method has been evaluated on two public datasets and one local dataset. The experimental results demonstrate that the proposed method is more effective than other weakly supervised methods and achieves similar performance as those fully supervised.

7.
J Control Release ; 337: 612-627, 2021 09 10.
Article in English | MEDLINE | ID: covidwho-1330947

ABSTRACT

Neutrophils, the most abundant leukocytes in human peripheral blood, are important effector cells that mediate the inflammatory response. During neutrophil dysfunction, excessive activation and uncontrolled infiltration are the core processes in the progression of inflammation-related diseases, including severe coronavirus disease-19 (COVID-19), sepsis, etc. Herein, we used sialic acid-modified liposomal doxorubicin (DOX-SAL) to selectively target inflammatory neutrophils in the peripheral blood and deliver DOX intracellularly, inducing neutrophil apoptosis, blocking neutrophil migration, and inhibiting the inflammatory response. Strong selectivity resulted from the specific affinity between SA and L-selectin, which is highly expressed on inflammatory neutrophil membranes. In inflammation models of acute lung inflammation/injury (ALI), sepsis, and rheumatoid arthritis (RA), DOX-SAL suppressed the inflammatory response, increased the survival of mice, and delayed disease progression, respectively. Moreover, DOX-SAL restored immune homeostasis in the body, without side effects. We have presented a targeted nanocarrier drug delivery system that can block the recruitment of inflammatory neutrophils, enabling specific inhibition of the core disease process and the potential to treat multiple diseases with a single drug. This represents a revolutionary treatment strategy for inflammatory diseases caused by inappropriate neutrophil activation.


Subject(s)
COVID-19 , Neutrophils , Animals , Doxorubicin , Humans , Inflammation/drug therapy , Mice , N-Acetylneuraminic Acid , SARS-CoV-2
8.
EMBO J ; 40(18): e108249, 2021 09 15.
Article in English | MEDLINE | ID: covidwho-1323479

ABSTRACT

SARS-CoV-2 is an emerging coronavirus that causes dysfunctions in multiple human cells and tissues. Studies have looked at the entry of SARS-CoV-2 into host cells mediated by the viral spike protein and human receptor ACE2. However, less is known about the cellular immune responses triggered by SARS-CoV-2 viral proteins. Here, we show that the nucleocapsid of SARS-CoV-2 inhibits host pyroptosis by blocking Gasdermin D (GSDMD) cleavage. SARS-CoV-2-infected monocytes show enhanced cellular interleukin-1ß (IL-1ß) expression, but reduced IL-1ß secretion. While SARS-CoV-2 infection promotes activation of the NLRP3 inflammasome and caspase-1, GSDMD cleavage and pyroptosis are inhibited in infected human monocytes. SARS-CoV-2 nucleocapsid protein associates with GSDMD in cells and inhibits GSDMD cleavage in vitro and in vivo. The nucleocapsid binds the GSDMD linker region and hinders GSDMD processing by caspase-1. These insights into how SARS-CoV-2 antagonizes cellular inflammatory responses may open new avenues for treating COVID-19 in the future.


Subject(s)
COVID-19/metabolism , Intracellular Signaling Peptides and Proteins/metabolism , Nucleocapsid/metabolism , Phosphate-Binding Proteins/metabolism , Pyroptosis/physiology , SARS-CoV-2/metabolism , Angiotensin-Converting Enzyme 2/immunology , Angiotensin-Converting Enzyme 2/metabolism , Animals , COVID-19/immunology , COVID-19/pathology , COVID-19/virology , Caspase 1/immunology , Caspase 1/metabolism , HEK293 Cells , Host-Pathogen Interactions , Humans , Inflammasomes/immunology , Inflammasomes/metabolism , Interleukin-1beta/immunology , Interleukin-1beta/metabolism , Intracellular Signaling Peptides and Proteins/immunology , Mice , Monocytes/metabolism , NLR Family, Pyrin Domain-Containing 3 Protein/immunology , NLR Family, Pyrin Domain-Containing 3 Protein/metabolism , Phosphate-Binding Proteins/immunology , SARS-CoV-2/immunology , Spike Glycoprotein, Coronavirus/immunology , Spike Glycoprotein, Coronavirus/metabolism , THP-1 Cells
9.
J Neurosurg Anesthesiol ; 33(3): 268-272, 2021 Jul 01.
Article in English | MEDLINE | ID: covidwho-1322669

ABSTRACT

BACKGROUND: The coronavirus disease (COVID-19) pandemic is currently a major challenge for health care systems around the world. For a time-sensitive emergency such as acute ischemic stroke (AIS), streamlined workflow times are essential to ensure good clinical outcomes. METHODS: The aim of this single-center, retrospective, observational study was to describe changes in stroke workflow patterns and clinical care during the COVID-19 pandemic. Data from AIS patients undergoing emergent endovascular treatment (EVT) between 23 January and 8 April 2020 were retrospectively collected and compared with data from patients admitted during a similar period in 2019. The primary outcome was difference in time from symptom onset to recanalization. Secondary outcomes included workflow times, clinical management, discharge outcomes, and health-economic data. RESULTS: In all, 21 AIS patients were admitted for emergent EVT during the 77-day study period, compared with 42 cases in 2019. Median time from symptom onset to recanalization was 132 minutes longer during the pandemic compared with the previous year (672 vs. 540 min, P=0.049). Patients admitted during the pandemic had a higher likelihood of endotracheal intubation (84.6% vs. 42.4%, P<0.05) and a higher incidence of delayed extubation after EVT (69.2% vs. 45.5%, P<0.05). National Institutes of Health Stroke Scale at hospital discharge was similar in the 2 cohorts, whereas neurointensive care unit stay was longer in patients admitted during the pandemic (10 vs. 7 days, P=0.013) and hospitalization costs were higher (123.9 vs. 95.2 thousand Chinese Yuan, P=0.052). CONCLUSION: Disruptions to medical services during the COVID-19 pandemic has particularly impacted AIS patients undergoing emergent EVT, resulting in increased workflow times. A structured and multidisciplinary protocol should be implemented to minimize treatment delays and maximize patient outcomes.


Subject(s)
COVID-19/prevention & control , Endovascular Procedures/methods , Ischemic Stroke/therapy , Time-to-Treatment/statistics & numerical data , Acute Disease , Aged , Beijing , Female , Humans , Male , Middle Aged , Pandemics , Retrospective Studies , SARS-CoV-2 , Treatment Outcome
10.
IEEE Trans Biomed Eng ; 68(12): 3725-3736, 2021 12.
Article in English | MEDLINE | ID: covidwho-1249379

ABSTRACT

OBJECTIVE: In a few patients with mild COVID-19, there is a possibility of the infection becoming severe or critical in the future. This work aims to identify high-risk patients who have a high probability of changing from mild to critical COVID-19 (only account for 5% of cases). METHODS: Using traditional convolutional neural networks for classification may not be suitable to identify this 5% of high risk patients from an entire dataset due to the highly imbalanced label distribution. To address this problem, we propose a Mix Contrast model, which matches original features with mixed features for contrastive learning. Three modules are proposed for training the model: 1) a cumulative learning strategy for synthesizing the mixed feature; 2) a commutative feature combination module for learning the commutative law of feature concatenation; 3) a united pairwise loss assigning adaptive weights for sample pairs with different class anchors based on their current optimization status. RESULTS: We collect a multi-center computed tomography dataset including 918 confirmed COVID-19 patients from four hospitals and evaluate the proposed method on both the COVID-19 mild-to-critical prediction and COVID-19 diagnosis tasks. For mild-to-critical prediction, the experimental results show a recall of 0.80 and a specificity of 0.815. For diagnosis, the model shows comparable results with deep neural networks using a large dataset. Our method demonstrates improvements when the amount of training data is small or imbalanced. SIGNIFICANCE: Identifying mild-to-critical COVID-19 patients is important for early prevention and personalized treatment planning.


Subject(s)
COVID-19 , Deep Learning , COVID-19 Testing , Humans , Neural Networks, Computer , SARS-CoV-2
11.
Emerging Markets, Finance & Trade ; 57(6):1592-1602, 2021.
Article in English | ProQuest Central | ID: covidwho-1220231

ABSTRACT

This paper investigates interdependence and contagion between oil and BRIC stock markets before and after COVID-19. We used a local Gaussian correlation approach to identify the asymmetric relationship and a bootstrap method to test contagion. The empirical results show that, except for China, the linkages between the crude oil markets and BRIC stock markets significantly increased in crashing markets during the COVID-19 pandemic. Contagion is identified from crude oil markets to the Indian stock market, and from West Texas Intermediate (WTI) futures to the Russian stock market.

12.
BMC Nurs ; 20(1): 66, 2021 Apr 26.
Article in English | MEDLINE | ID: covidwho-1204071

ABSTRACT

BACKGROUND: The outbreak of novel coronavirus pneumonia has exerted considerable psychological pressure on patients undergoing hemodialysis, resulting in unhealthy psychological emotions. Therefore, it is of great significance to carry out strict management and refined nursing intervention for patients undergoing maintenance hemodialysis during the prevention and control of novel coronavirus. This study aims to analyze and discuss the effect of clinical refined nursing intervention on patients undergoing maintenance hemodialysis during the coronavirus disease 2019 (COVID-19) epidemic. METHODS: This was a prospective cohort study. In this study, we used the Symptom Checklist-90 (SCL-90) or the Chinese adult SCL-90 norm to conduct nursing interventions for patients undergoing maintenance hemodialysis to investigate the effect of clinical refined nursing intervention on patients undergoing maintenance hemodialysis during the COVID-19 epidemic. RESULTS: The scores for all the factors of SCL-90 of patients undergoing maintenance hemodialysis were higher than those of the Chinese SCL-90, and patients with a single factor score ≥ 2 had a higher level of depression and anxiety, with extremely significant difference (p < 0.01). The depression and anxiety of the patients were reduced after the intervention, and there was a statistical difference. Among the 172 patients, the results of both nucleic acid tests were negative. CONCLUSION: During the COVID-19 epidemic, providing patients undergoing maintenance hemodialysis with refined nursing intervention can regulate negative emotions, reduce related complications, improve their quality of life, and improve the nurse-patient relationship.

13.
Front Public Health ; 9: 638430, 2021.
Article in English | MEDLINE | ID: covidwho-1170136

ABSTRACT

Background: The rapid outbreak of coronavirus disease 2019 (COVID-19) posed a serious threat to China, followed by compulsive measures taken against the national emergency to control its further spread. This study was designed to describe residents' knowledge, attitudes, and practice behaviors (KAP) during the outbreak of COVID-19. Methods: An anonymous online questionnaire was randomly administrated to residents in mainland China between Mar 7 and Mar 16, 2020. Residents' responses to KAP were quantified by descriptive and stratified analyses. A Multiple Logistic Regression model was employed to identify risk factors associated with KAP scores. Results: A total of 10,195 participants were enrolled from 32 provinces of China. Participants of the ≥61 years group had higher KAP scores [adjusted Odds Ratio (ORadj) = 4.8, 95% Confidence Interval (CI): 3.0-7.7, P < 0.0001], and the married participants and those in low-income families had higher scores of KAP (ORadj = 1.2, 95% CI: 1.1-1.3; ORadj = 1.8, 95% CI: 1.6-2.2, respectively, both P < 0.0001). The participants living with more than two family members had higher scores in an increasing ORs when the family members increased (ORadj = 1.3, 95% CI: 1.1-1.6, P = 0.013; ORadj = 1.3, 95% CI: 1.1-1.6, P = 0.003; ORadj = 1.3, 95% CI: 1.0-1.6, P = 0.02; for groups of 2, 3-4 and ≥5, respectively). Conclusions: Out of the enrolled participants who completed the survey, 85.5% responded positively toward the mandatory public health interventions implemented nationwide by the Chinese authorities. These effective practices seem to be related to a proper attitude generated by the increased knowledge and better awareness of the risks related to the COVID-19 pandemic and the consequent need for safe and responsible behavior.


Subject(s)
COVID-19/epidemiology , Health Behavior , Health Knowledge, Attitudes, Practice , Adolescent , Adult , Aged , Aged, 80 and over , Child , China/epidemiology , Female , Humans , Logistic Models , Male , Middle Aged , Pandemics , Risk Assessment , Risk Factors , Surveys and Questionnaires , Young Adult
14.
Endocrine ; 72(2): 340-348, 2021 05.
Article in English | MEDLINE | ID: covidwho-1159631

ABSTRACT

INTRODUCTION: Angiotensin-converting enzyme 2 (ACE2) is the receptor of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The effects of SARS-CoV-2 on normal pituitary glands function or pituitary neuroendocrine tumors (PitNETs) have not yet been elucidated. Thus, the present study aimed to investigate the potential risks of SARS-CoV-2 infection on the impairment of pituitary glands and the development of PitNETs. METHODS: PitNETs tissues were obtained from 114 patients, and normal pituitary gland tissues were obtained from the autopsy. The mRNA levels of ACE2 and angiotensin II receptor type 1 (AGTR1) were examined by quantitative real-time PCR. Immunohistochemical staining was performed for ACE2 in 69 PitNETs and 3 normal pituitary glands. The primary tumor cells and pituitary cell lines (MMQ, GH3 and AtT-20/D16v-F2) were treated with diminazene aceturate (DIZE), an ACE2 agonist, with various dose regimens. The pituitary hormones between 43 patients with SARS-CoV-2 infection were compared with 45 healthy controls. RESULTS: Pituitary glands and the majority of PitNET tissues showed low/negative ACE2 expression at both the mRNA and protein levels, while AGTR1 showed high expression in normal pituitary and corticotroph adenomas. ACE2 agonist increased the secretion of ACTH in AtT-20/D16v-F2 cells through downregulating AGTR1. The level of serum adrenocorticotropic hormone (ACTH) was significantly increased in COVID-19 patients compared to normal controls (p < 0.001), but was dramatically decreased in critical cases compared to non-critical patients (p = 0.003). CONCLUSIONS: This study revealed a potential impact of SARS-CoV-2 infection on corticotroph cells and adenomas.


Subject(s)
COVID-19 , Neuroendocrine Tumors , Humans , Peptidyl-Dipeptidase A/genetics , Pituitary Gland/metabolism , SARS-CoV-2
15.
Chin J Acad Radiol ; : 1-7, 2021 Mar 07.
Article in English | MEDLINE | ID: covidwho-1130990

ABSTRACT

Objective: To analyze the evolution of chest computed tomography (CT) findings from admission to follow-up in moderate to severe patients with coronavirus disease-19 (COVID-19) pneumonia. Methods: During December 2019-April 2020, the sequential CT images of 30 patients with COVID-19 pneumonia were retrospectively analyzed from admission to follow-up. The qualitative evolution tendency of lung abnormalities and semi-quantitative CT scores were analyzed for temporal change. Results: The mean hospitalized period was 24.5 ± 9.6 days (range 6-49 days). The average time from the first, second, third, fourth and follow-up CT examination to the initial symptom onset were 4.2 ± 3.1 days, 10.7 ± 4.4 days, 17.1 ± 3.9 days, 24.6 ± 7.5 days, and 42.4 ± 15.6 days, respectively. During illness day 0-5, groundglass opacity (GGO) was the main pattern. The following illness day 6-11, the main CT pattern was consolidation and reticular pattern. The consolidation and reticular pattern gradually dissipate during illness day 12-23, and the reticular pattern and light GGO increased. When illness day was ≥ 24 days, the reticular pattern and light GGO gradually decrease until complete dissipation. The highest CT score was at illness day 6-11. Pearson correlation analysis showed that the mean and maximum CT score were not correlated with the length of fever (r = 0.018, p = 0.923 and r = 0.086, p = 0.652) and hospitalization (r = 0.192, p = 0.31 and r = 0.273, p = 0.144). Conclusions: The dynamic evolution of CT manifestation in moderate to severe COVID-19 pneumonia patients followed a specific pattern over time. During illness day 6-11, the extent of lung abnormalities on chest CT was the most severe. Supplementary Information: The online version contains supplementary material available at 10.1007/s42058-021-00058-2.

16.
China CDC Wkly ; 3(10): 199-206, 2021 Mar 05.
Article in English | MEDLINE | ID: covidwho-1116445

ABSTRACT

Summary: What is already known about this topic? The coronavirus disease 2019 (COVID-19) pandemic potentially affected prenatal care quality and maternal and fetal outcomes globally.What is added by this report? During COVID-19 pandemic period, the rates of caesarean sections (CS) and preterm birth for uninfected pregnant women increased slightly in areas that were relatively severely impacted by the pandemic in China. The overall number of prenatal examinations did not dramatically decrease, while the eligible examinations significantly decreased in Hubei Province.What are the implications for public health practice? Routine prenatal examinations had been well maintained during the pandemic period in China. In the future, in-time prenatal examinations should be provided to improve the quality of screening and management of high-risk pregnancy under pandemic-affected circumstances. Psychological counseling and transfer treatment channels should be strengthened for pregnant women during lockdown period.

17.
JMIR Ment Health ; 8(2): e23917, 2021 Feb 10.
Article in English | MEDLINE | ID: covidwho-1076388

ABSTRACT

BACKGROUND: During the COVID-19 pandemic, special education schools for children in most areas of China were closed between the end of January and the beginning of June in 2020. The sudden interruption in schooling and the pandemic itself caused parents to be anxious and even to panic. Mobile-based parenting skills education has been demonstrated to be an effective method for improving the psychological well-being of mothers with children with autism. However, whether it can improve the psychological states of mothers in the context of the COVID-19 pandemic is a subject that should be urgently investigated. OBJECTIVE: The aim of this study is to evaluate the efficacy of WeChat-based parenting training on anxiety, depression, parenting stress, and hope in mothers with children with autism, as well as the feasibility of the program during the COVID-19 pandemic. METHODS: This was a quasi-experimental trial. A total of 125 mothers with preschool children with autism were recruited in January 2020. The participants were assigned to the control group (n=60), in which they received routine care, or the intervention group (n=65), in which they received the 12-week WeChat-based parenting training plus routine care, according to their preferences. Anxiety, depression, parenting stress, hope, satisfaction, and adherence to the intervention were measured at three timepoints: baseline (T0), postintervention (T1), and a 20-week follow-up (T2). RESULTS: In total, 109 mothers completed the T1 assessment and 104 mothers completed the T2 assessment. The results of the linear mixed model analysis showed statistically significant group × time interaction effects for the intervention on anxiety (F=14.219, P<.001), depression (F=26.563, P<.001), parenting stress (F=68.572, P<.001), and hope (F=197.608, P<.001). Of all mothers in the intervention group, 90.4% (48.8/54) reported that they were extremely satisfied with the WeChat-based parenting training. In total, 40.0% (26/65) logged their progress in home training each week and 61.5% (40/65) logged their progress more than 80% of the time for all 20 weeks. CONCLUSIONS: The WeChat-based parenting training is acceptable and appears to be an effective approach for reducing anxiety, depression, and parenting stress, as well as increasing hope in mothers with children with autism during the global COVID-19 pandemic. Future studies with rigorous designs and longer follow-up periods are needed to further detect the effectiveness of the WeChat-based parenting training. TRIAL REGISTRATION: Chinese Clinical Trial Registry ChiCTR2000031772; http://www.chictr.org.cn/showproj.aspx?proj=52165.

18.
Chin Neurosurg J ; 6(1): 38, 2020 Dec 22.
Article in English | MEDLINE | ID: covidwho-992580

ABSTRACT

BACKGROUND: An epidemic of COVID-19 broke out in Wuhan, China, since December 2019. The ordinary medical services were hindered. However, the emergency cases, including aneurysmal subarachnoid hemorrhage (aSAH), still required timely intervention. Thus, it provoked challenges to the routine management protocol. In this study, we summarized our experience in the emergency management of aSAH (Beijing Tiantan Protocol, BTP) in Beijing, China. METHODS: Demographic, clinical, and imaging data of consecutive emergency aSAH patients who underwent craniotomy clipping during the COVID-19 epidemic season were reviewed and compared with the retrospective period last year. Subgroup analysis was further performed to assess the outcomes of different screening results and several detailed protocols. Neurological outcomes were evaluated by the modified Rankin Scale (mRS). RESULTS: A total of 127 aSAH were referred to our emergency department, and 42 (33.1%) underwent craniotomy clipping between January 20, 2020, and March 25, 2020. The incidence of preoperative hospitalized adverse events and the perioperative outcomes were similar (- 0.1, 95% CI - 1.0 to 0.8, P = 0.779) to the retrospective period last year (January 2019-March 2019). After the propensity score matching (PSM), there were still no statistical differences in prognostic parameters between the two groups. Eight (19.0%) of the 42 individuals were initially screened as preliminary undetermined COVID-19 cases, in which 2 of them underwent craniotomy clipping in the negative pressure operating room (OR). The prognosis of patients with varied COVID-19 screening results was similar (F(2, 39) = 0.393, P = 0.678). Since February 28, 12 cases (28.6%) received COVID-19 nucleic acid testing (NAT) upon admission, and all showed negative. The false-negative rate was 0.0%. The preoperative hospitalized adverse events and postoperative prognosis were still similar between patients with and without COVID-19 NAT (- 0.3, 95% CI - 1.4 to 0.9, P = 0.653). CONCLUSIONS: Our emergency surgery management protocol (BTP) is reliable for scheduling emergency aneurysm craniotomy clipping in non-major epidemic areas.

19.
Ieee Computational Intelligence Magazine ; 15(4):23-33, 2020.
Article in English | Web of Science | ID: covidwho-900842

ABSTRACT

Epidemic models play a key role in understanding and responding to the emerging COVID-19 pandemic. Widely used compartmental models are static and are of limited use to evaluate intervention strategies of combatting the pandemic. Applying the technology of data assimilation, we propose a Bayesian updating approach for estimating epidemiological parameters using observable information to assess the impacts of different intervention strategies. We adopt a concise renewal model and propose new parameters by disentangling the reduction of instantaneous reproduction number Rt into mitigation and suppression factors to quantify intervention impacts at a finer granularity. A data assimilation framework is developed to estimate these parameters including constructing an observation function and developing a Bayesian updating scheme. A statistical analysis framework is built to quantify the impacts of intervention strategies by monitoring the evolution of the estimated parameters. We reveal the intervention impacts in European countries and Wuhan and the resurgence risk in the United States.

20.
Pers Individ Dif ; 170: 110457, 2021 Feb 15.
Article in English | MEDLINE | ID: covidwho-885403

ABSTRACT

Concern for the psychological health of people affected by the COVID-19 pandemic is necessary. Previous studies suggested that self-compassion contributes to life-satisfaction. However, little is known about the mechanism underlying this relation. This study investigated the relationship between self-compassion and life-satisfaction among Chinese self-quarantined residents during the COVID-19 pandemic. Furthermore, we examined the mediating effect of positive coping and the moderating role of gender in this relation. Participants consist of 337 self-quarantined residents (129 men, 208 women) from a community in China, who completed measures of demographic information, Self-Compassion Scale, Satisfaction with Life Scale, and Simplified Coping Style Questionnaire. The results revealed that self-compassion was positively linked with life-satisfaction. Moreover, positive coping partially mediated the relationship between self-compassion and life-satisfaction for males and not females. In the female group, self-compassion was positively linked with positive coping and life-satisfaction; however, positive coping and life-satisfaction were not significantly linked. These findings indicated that intervention focus on self-compassion could increase life-satisfaction in self-quarantined people during the COVID-19, and self-compassion may contribute to life-satisfaction via positive coping only in the male.

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