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1.
Int J Environ Res Public Health ; 19(15)2022 Aug 02.
Article in English | MEDLINE | ID: covidwho-1969269

ABSTRACT

Vaccine hesitancy has become a major public health problem among healthcare workers (HCWs) in this coronavirus disease 2019 (COVID-19) pandemic. The aim of this study was to examine the relationship between societal adaptation and vaccine worries and the mediating effects of posttraumatic stress disorder (PTSD) indicators in HCWs. A total of 435 HCWs (327 women and 108 men) were recruited. Their levels of societal adaptation were evaluated using the Societal Influences Survey Questionnaire (SISQ). Their severity and frequency of PTSD symptoms were examined using the Disaster-Related Psychological Screening Test (DRPST). The severity of vaccine worries was assessed using the Vaccination Attitudes Examination (VAX) Scale. The relationships among societal adaptation, PTSD, and vaccine worries were examined using structural equation modeling. The severity of societal adaptation was positively associated with both the severity of PTSD and the severity of vaccine worries. In addition, the severity of PTSD indicators was positively associated with the severity of vaccine worries. These results demonstrated that the severity of societal adaptation was related to the severity of vaccine worries, either directly or indirectly. The indirect relationship was mediated by the severity of PTSD. Societal adaptation and PTSD should be taken into consideration by the community of professionals working on vaccine hesitancy. Early detection and intervention of PTSD should be the objectives for programs aiming to lower vaccine hesitancy among HCWs.


Subject(s)
COVID-19 , Stress Disorders, Post-Traumatic , Vaccines , COVID-19/epidemiology , Female , Health Personnel/psychology , Humans , Male , Pandemics , Stress Disorders, Post-Traumatic/epidemiology , Stress Disorders, Post-Traumatic/psychology
2.
Comput Struct Biotechnol J ; 20: 4015-4024, 2022.
Article in English | MEDLINE | ID: covidwho-1966470

ABSTRACT

Co-infection of RNA viruses may contribute to their recombination and cause severe clinical symptoms. However, the tracking and identification of SARS-CoV-2 co-infection persist as challenges. Due to the lack of methods for detecting co-infected samples in a large amount of deep sequencing data, the lineage composition, spatial-temporal distribution, and frequency of SARS-CoV-2 co-infection events in the population remains unclear. Here, we propose a hypergeometric distribution-based method named Cov2Coinfect with the ability to decode the lineage composition from 50,809 deep sequencing data. By resolving the mutational patterns in each sample, Cov2Coinfect can precisely determine the co-infected SARS-CoV-2 variants from deep sequencing data. Results from two independent and parallel projects in the United States achieved a similar co-infection rate of 0.3-0.5 % in SARS-CoV-2 positive samples. Notably, all co-infected variants were highly consistent with the co-circulating SARS-CoV-2 lineages in the regional epidemiology, demonstrating that the co-circulation of different variants is an essential prerequisite for co-infection. Overall, our study not only provides a robust method to identify the co-infected SARS-CoV-2 variants from sequencing samples, but also highlights the urgent need to pay more attention to co-infected patients for better disease prevention and control.

3.
Interact J Med Res ; 11(1): e37880, 2022 Jun 10.
Article in English | MEDLINE | ID: covidwho-1892534

ABSTRACT

BACKGROUND: The COVID-19 pandemic was well controlled in Taiwan until an outbreak in May 2021. Telemedicine was rapidly implemented to avoid further patient exposure and to unload the already burdened medical system. OBJECTIVE: To understand the effect of COVID-19 on the implementation of video-based virtual clinic visits during this outbreak, we analyzed the logistics of prescribing medications and patient flow for such virtual visits at a tertiary medical center. METHODS: We retrospectively collected information on video-based virtual clinic visits and face-to-face outpatient visits from May 1 to August 31, 2021, from the administrative database at National Taiwan University Hospital. The number of daily new confirmed COVID-19 cases in Taiwan was obtained from an open resource. RESULTS: There were 782 virtual clinic visits during these 3 months, mostly for the departments of internal medicine, neurology, and surgery. The 3 most common categories of medications prescribed were cardiovascular, diabetic, and gastrointestinal, of which cardiovascular medications comprised around one-third of all medications prescribed during virtual clinic visits. The number of virtual clinic visits was significantly correlated with the number of daily new confirmed COVID-19 cases, with approximately a 20-day delay (correlation coefficient 0.735; P<.001). The patient waiting time for video-based virtual clinic visits was significantly shorter compared with face-to-face clinic visits during the same period (median 3, IQR 2-6 min vs median 20, IQR 9-42 min; rank sum P<.001). Although the time saved was appreciated by the patients, online payment with direct delivery of medications without the need to visit a hospital was still their major concern. CONCLUSIONS: Our data showed that video-based virtual clinics can be implemented rapidly after a COVID-19 outbreak. The virtual clinics were efficient, as demonstrated by the significantly reduced waiting time. However, there are still some barriers to the large-scale implementation of video-based virtual clinics. Better preparation is required to improve performance in possible future large outbreaks.

4.
Infect Dis Poverty ; 11(1): 53, 2022 May 13.
Article in English | MEDLINE | ID: covidwho-1846871

ABSTRACT

BACKGROUND: Heterologous prime-boost with ChAdOx1 nCoV-19 vector vaccine (ChAd) and a messenger RNA vaccine (BNT or mRNA-1273) has been widely facilitating mass coronavirus disease 2019 (COVID-19) immunisation. This review aimed to synthesize immunogenicity and reactogenicity of heterologous immunisations with ChAd and BNT (mRNA-1273) vaccine compared with homologous ChAd or BNT (mRNA-1273) immunisation. METHODS: PubMed, Web of Science, and Embase databases were searched from inception to March 7, 2022. Immunogenicity involving serum antibodies against different SAS-CoV-2 fragments, neutralizing antibody, or spike-specific T cells response were compared. Any, local and systemic reactions were pooled by meta-analysis for comparison. RESULTS: Of 14,571 records identified, 13 studies (3024 participants) were included for analysis. Compared with homologous BNT/BNT vaccination, heterologous ChAd/BNT schedule probably induced noninferior anti-spike protein while higher neutralizing antibody and better T cells response. Heterologous ChAd/BNT (mRNA-1273) immunisation induced superior anti-spike protein and higher neutralizing antibody and better T cells response compared with homologous ChAd/ChAd vaccination. Heterologous ChAd/BNT (mRNA-1273) had similar risk of any reaction (RR = 1.30, 95% CI: 0.86-1.96) while higher risk of local reactions (RR = 1.65, 95% CI: 1.27-2.15) and systemic reactions (RR = 1.49, 95% CI: 1.17-1.90) compared with homologous ChAd/ChAd vaccination. There was a higher risk of local reactions (RR = 1.16, 95% CI: 1.03-1.31) in heterologous ChAd/BNT (mRNA-1273) vaccination compare with homologous BNT/BNT but a similar risk of any reaction (RR = 1.03, 95% CI: 0.79-1.34) and systemic reactions (RR = 0.89, 95% CI: 0.60-1.30). CONCLUSIONS: Heterologous ChAd/BNT schedule induced at least comparable immunogenicity compared with homologous BNT/BNT and better immunogenicity compared with homologous ChAd/ChAd vaccination. The synthetical evidence supported the general application of heterologous prime-boost vaccination using ChAd and BNT COVID-19 vaccines.


Subject(s)
COVID-19 Vaccines , COVID-19 , Antibodies, Neutralizing , Antibodies, Viral , BNT162 Vaccine , COVID-19/prevention & control , COVID-19 Vaccines/adverse effects , ChAdOx1 nCoV-19 , Humans , RNA, Messenger , SARS-CoV-2 , Vaccination , Vaccines, Synthetic , mRNA Vaccines
5.
BMJ Open ; 12(4): e058762, 2022 04 08.
Article in English | MEDLINE | ID: covidwho-1784835

ABSTRACT

OBJECTIVE: This study aimed to investigate the status quo and the influencing factors of fatigue and professional identity among the Centers for Disease Control and Prevention (CDC) workers in China during the pandemic. DESIGN: A cross-sectional design. SETTING: CDC workers employed by the Liaoning CDC system were enrolled (administrative staffs were excluded). PARTICIPANTS: 1020 CDC workers. PRIMARY OUTCOME MEASURES: Fatigue scores and professional identity scores. SECONDARY OUTCOME MEASURES: Postcompetency scores, respect scores, occupational stress scores, resilience scores and self-efficacy scores. RESULTS: The average scores of fatigue and professional identity were 8.23, 38.88, respectively. Factors including perceived public respect (ß=-0.129, p<0.01), resilience (ß=-0.104, p<0.05) and self-efficacy (ß=-0.22, p<0.01) were negatively associated with fatigue. Educational background (bachelor vs junior college or below) (ß=0.105, p<0.01), (master or above vs junior college or below) (ß=0.092, p<0.05), workplace (county vs district) (ß=0.067, p<0.05), (city vs district) (ß=0.085, p<0.05), fighting the COVID-19 on the front line (ß=0.059, p<0.05) and occupational stress (ß=0.166, p<0.01) were positively correlated with fatigue. Educational background (bachelor vs junior college or below) (ß=-0.097, p<0.01), (master or above vs junior college or below) (ß=-0.114, p<0.01), workplace (city vs district) (ß=-0.114, p<0.01), fighting the COVID-19 on the front line (ß=-0.047, p<0.05) and occupational stress (ß=-0.105, p<0.01) were negatively associated with professional identity. Factors including postcompetency (ß=0.362, p<0.01), perceived public respect (general vs low) (ß=0.219, p<0.01), (high vs low) (ß=0.288, p<0.01), resilience (ß=0.097, p<0.05) and self-efficacy (ß=0.113, p<0.01) were positively connected with professional identity. CONCLUSION: The fatigue among the CDC workers was at a higher level. The level of professional identity was high, and administrators should take measures to alleviate fatigue and maintain professional identity. In addition, methods aiming to attenuate occupational stress, and improve resilience and self-efficacy should be immediately put into action.


Subject(s)
COVID-19 , Occupational Stress , COVID-19/epidemiology , Centers for Disease Control and Prevention, U.S. , China/epidemiology , Cross-Sectional Studies , Fatigue , Humans , Surveys and Questionnaires , United States/epidemiology
6.
J Psychiatr Res ; 150: 324-331, 2022 06.
Article in English | MEDLINE | ID: covidwho-1734772

ABSTRACT

Few studies have investigated stress in association with social and process smartphone use and how these types of use influence problematic smartphone use during the COVID-19 pandemic; furthermore, the moderation effects of resilience have been rarely tested in this model. For these, a cross-sectional survey was conducted involving 766 Chinese undergraduate students (74.4% female; M = 20.1 years, SD = 1.15) who were measured with their levels of stress, academic burnout, smartphone use types (social/process smartphone use), resilience, and problematic smartphone use. Based on the I-PACE theory, we built a structural equation model, and the results indicated that compared with social smartphone use, process smartphone use more related to problematic smartphone use; academic burnout fully mediated between stress and process smartphone use, and between stress and problematic smartphone use. Moreover, resilience moderated between stress and academic burnout, between academic burnout and process smartphone use, and between academic burnout and problematic smartphone use. We discuss the process smartphone use as a key indicator of problematic smartphone use and the role of academic burnout for linking stress and smartphone use behaviors. In addition, interventions for enhancing resilience should be launched in the future.


Subject(s)
Burnout, Professional , COVID-19 , Burnout, Professional/epidemiology , Burnout, Psychological , Cross-Sectional Studies , Female , Humans , Male , Pandemics , Smartphone
7.
China CDC Weekly ; 4:1-3, 2022.
Article in English | China CDC Weekly | ID: covidwho-1706780

ABSTRACT

On January 13, 2022, Zhuhai CDC received a notification that a coronavirus disease 2019 (COVID-19) case was found in the fever clinic in nearby Zhongshan City. Zhuhai CDC promptly carried out large-scale population screening in three nearby counties. A total of 4 COVID-19 cases were found in Nanping county. 34 cases were screened from close contacts, and 2 cases were reported from close contacts in other cities of Guangdong Province. The 20 cases were sequenced by Guangdong CDC and identified as the variant of concern (VOC)/Omicron variant BA.1. Since January 14, Zhuhai has carried out 8 rounds of nucleic acid screening for COVID-19 in the county where the cases occurred. Four large-scale nucleic acid screening tests for COVID-19 were conducted across the city, and no new community cases were reported after January 15.

8.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-311598

ABSTRACT

Objective: To explore the effect of anxiety, depression and hypertension on quality of life (QOL) of patients with gynecological tumor and the interaction among them, and the moderating effect of social support. Design: Cross-sectional design Setting: December 2019 to July 2020, the COVID-19 outbreak phase. Population or Sample: A total of 695 gynecological cancer patients were collected. Methods: The study used the Self-Rating Anxiety Scale (SAS), the Self-Rating Depression Scale (SDS), the Functional Assessment of Cancer Therapy Genera tool (FACT-G), and the Multidimensional Scale of Perceived Social Support Scale (MSPSS). Regression analysis and the simple slope analysis were conducted. Results: QOL of patients with anxiety and hypertension had seriously deteriorated [OR=10.297, 95%CI (5.647-18.775)]. And QOL of patients with depression and hypertension also had seriously deteriorated [OR=11.846, 95%CI (6.597-21.271)]. Calculated by crossover analysis, the synergy index, attributable proportion and relative excess risk due to interact of anxiety and hypertension were1.698,0.371 and 3.822, and the correlation index of interaction between depression and hypertension were 1.475, 0.295, and 3.493. The Social Support &Depression interaction term and Social Support &Anxiety interaction term were negatively correlated with QOL (p<0.01), and explained an extra 5.7% and 5.6% of the variance respectively (p<0.01). Conclusion: Anxiety, depression and hypertension have interaction on the QOL of patients with gynecological tumors. Social support can significantly moderate the relationship between depression, anxiety and QOL respectively. Funding: National Key R&D Program of China (Grant #2018YFC1311600). Keywords: quality of life, depression, anxiety, social support, hypertension, moderating effect

9.
EuropePMC; 2020.
Preprint in English | EuropePMC | ID: ppcovidwho-322518

ABSTRACT

Background: The 2019 coronavirus disease (COVID-19) has become an unprecedented public health crisis with nearly 16 million confirmed cases and 630,000 deaths worldwide. Methods: : We retrospectively investigated the demographic, clinical, laboratory, radiological and treatment data of COVID-19 patients consecutively enrolled from January 18 to May 15, 2020, in Taihe and Jinzhou central hospital. Results: : Of all 197 patients, the median age was 66.5 years (IQR 7-76), and 120 (60.9%) patients were males. We identified 88 (44.7%) of 197 COVID-19 patients as the disease progression (aggravation) cases. The aggravation cases tend to have more medical comorbidity: hypertension (34.1%), diabetes (30.7%), and presented with dyspnea (34.1%), neutrophilia (60.2%), and lymphocytopenia (73.9%), compared with those without. And the patients with disease progression showed significantly higher level of Fibrinogen (Fbg), D-dimer, IL-6, C-reactive protein (CRP), procalcitonin (PCT), and serum ferritin, and were more prone to develop organ damage in the liver, kidney, and heart (P<0.05). Multivariable regression showed that advanced age, comorbidities, lymphopenia, and elevated level of Fbg, lactate dehydrogenase (LDH), Cardiac troponin (CTnI), IL-6, serum ferritin were the significant predictors of disease progression. Further, we investigated antibody responses to SARS-CoV-2 and found that the levels of IgM and IgG were significantly higher in the disease progression cases compared to non-progression cases from 3 weeks after symptom onset. In addition, the disease progression group tended to peak later and has a more vigorous IgM/IgG response against SARS-CoV-2. Further, we performed Kaplan-Meier analysis and found that 61.6% of patients had not experienced ICU transfer or survival from hospital within 25 days from admission. Conclusions: : Investigating the potential factors of advanced age, comorbidities and elevated level of IL-6, serum ferritin and Kaplan-Meier analysis enables early identification and management of patients with poor prognosis. Detection of the dynamic antibody may offer vital clinical information during the course of SARS-CoV-2 and provide prognostic value for patients infection.

10.
Rare Metals ; 41(4): 1129-1141, 2022.
Article in English | MEDLINE | ID: covidwho-1635959

ABSTRACT

Abstract: The coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has posed severe threats to human health, public safety, and the global economy. Metal nutrient elements can directly or indirectly take part in human immune responses, and metal-related drugs have served as antiviral drugs and/or enzyme inhibitors for many years, providing potential solutions to the prevention and treatment of COVID-19. Metal-based drugs are currently under a variety of chemical structures and exhibit wide-range bioactivities, demonstrating irreplaceable advantages in pharmacology. This review is an intention to summarize recent progress in the prevention and treatment strategies against COVID-19 from the perspective of metal pharmacology. The current and potential utilization of metal-based drugs is briefly introduced. Specifically, metallohydrogels that have been shown to present superior antiviral activities are stressed in the paper as potential drugs for the treatment of COVID-19.

11.
IEEE Trans Neural Netw Learn Syst ; PP2022 Jan 12.
Article in English | MEDLINE | ID: covidwho-1621802

ABSTRACT

We propose a probabilistic model for clustering spatially correlated functional data with multiple scalar covariates. The motivating application is to partition the 29 provinces of the Chinese mainland into a few groups characterized by the epidemic severity of COVID-19, while the spatial dependence and effects of risk factors are considered. It can be regarded as an extension of mixture models, which allows different subsets of covariates to influence the component weights and the component densities by modeling the parameters of the mixture as functions of the covariates. In this way, provinces with similar spatial factors are a priori more likely to be clustered together. Posterior predictive inference in this model formalizes the desired prediction. Further, the identifiability of the proposed model is analyzed, and sufficient conditions to guarantee ``generic'' identifiability are provided. An L1-penalized estimator is developed to assist variable selection and robust estimation when the number of explanatory covariates is large. An efficient expectation-minimization algorithm is presented for parameter estimation. Simulation studies and real-data examples are presented to investigate the empirical performance of the proposed method. Finally, it is worth noting that the proposed model has a wide range of practical applications, e.g., health management, environmental science, ecological studies, and so on.

12.
Frontiers in pharmacology ; 12, 2021.
Article in English | EuropePMC | ID: covidwho-1610608

ABSTRACT

Background: The COVID-19 pandemic poses an imminent threat to humanity, especially for those who have comorbidities. Evidence of COVID-19 and COPD comorbidities is accumulating. However, data revealing the molecular mechanism of COVID-19 and COPD comorbid diseases is limited. Methods: We got COVID-19/COPD -related genes from different databases by restricted screening conditions (top500), respectively, and then supplemented with COVID-19/COPD-associated genes (FDR<0.05, ;LogFC;≥1) from clinical sample data sets. By taking the intersection, 42 co-morbid host factors for COVID-19 and COPD were finally obtained. On the basis of shared host factors, we conducted a series of bioinformatics analysis, including protein-protein interaction analysis, gene ontology and pathway enrichment analysis, transcription factor-gene interaction network analysis, gene-microRNA co-regulatory network analysis, tissue-specific enrichment analysis and candidate drug prediction. Results: We revealed the comorbidity mechanism of COVID-19 and COPD from the perspective of host factor interaction, obtained the top ten gene and 3 modules with different biological functions. Furthermore, we have obtained the signaling pathways and concluded that dexamethasone, estradiol, progesterone, and nitric oxide shows effective interventions. Conclusion: This study revealed host factor interaction networks for COVID-19 and COPD, which could confirm the potential drugs for treating the comorbidity, ultimately, enhancing the management of the respiratory disease.

13.
EuropePMC; 2021.
Preprint in English | EuropePMC | ID: ppcovidwho-292331

ABSTRACT

Background: The COVID-19 pandemic has spread worldwide and has attracted considerable attention. This study aims to investigate the sleep quality of the public during the normalization of COVID-19 pandemic prevention and control in China, as well as related factors that affect sleep quality. Methods: : A web-based cross-sectional survey was implemented from Feb 2 nd to Feb 9 th , 2021 in China. A total of 613 subjects from 27 provinces and 4 municipalities participated in this study. Questionnaire including Pittsburgh Sleep Quality Index (PSQI), COVID Stress Scale (CSS), COVID-19 Worry Scale and 14-item Resilience Scale (the RS-14) as well as demographic characteristics and pandemic-related information was used to measure sleep quality, stress, worries and resilience of Chinese population. Hierarchical multiple regression analysis was conducted to explore the associated factors of sleep quality. Results: : The prevalence of poor sleep quality among 613 participants was 41.1% (95%CI=37.2%-45%). Regression analysis indicated that chronic diseases, medical visits, occupation, and negative life events were factors affecting sleep quality. Stress and worries were positively associated with score of sleep quality, while resilience was negatively associated with score of sleep quality. Conclusions: : During the normalization of COVID-19 pandemic prevention and control, Chinese public has poor sleep quality. Effective interventions should be taken to decrease people’s COVID-19 stress and worries. Resilience enhancement is also an important factor to be considered to improve people’s sleep quality.

14.
British Journal of Social Psychology ; n/a(n/a), 2021.
Article in English | Wiley | ID: covidwho-1408556

ABSTRACT

Social distance regulations have been widely implemented to control the global COVID-19 pandemic. Individuals have thus been experiencing social pain through social distance regulations. Prior research has shown that social and physical pains share a common neural alarm system. Hence, COVID-19 social distancing should enhance sensitivity to physical pain. Two laboratory studies were conducted to test the spillover effect of COVID-19 social distancing on physical pain. The findings supported our hypothesis by showing that participants who were reminded of COVID-19 social distancing reported a higher level of pain perception in response to immersion in hot water (Experiment 1, N = 102) and expressed a lower pain threshold measured by a pressure algometer than did those of controls (Experiment 2, N = 140). This may be the first experimental evidence demonstrating that people primed with COVID-19 social distancing have increased sensitivity to physical pain. Our findings suggest that people might be more likely to experience physical pain under the impact of COVID-19 social distancing. The association between a heightened sense of social disconnection in a global pandemic and increased sensitivity to physical pain should receive more attention.

15.
Sci Rep ; 11(1): 16524, 2021 08 16.
Article in English | MEDLINE | ID: covidwho-1360205

ABSTRACT

The aims of the current study were to identify factors associated with sleep disturbance and Coronavirus disease-19 related psychological distress (CPD), and to develop a conceptual model to verify the mediating effect of CPD on the association between social impact and sleep disturbance. This study recruited patients with schizophrenia. Factors associated with the level of sleep disturbance and CPD were identified using univariate linear regression, and further selected into a stepwise multivariate linear regression model. Using structural equation modeling, a mediation model was developed to test the mediating effect of CPD on the association between social impact and sleep disturbance. After estimating with the stepwise and bootstrap regression, higher levels of CPD were associated with higher levels of social anxiety and subjects without a regular diet. Sleep disturbance was associated with a higher level of social anxiety, a history of psychological trauma, chronic disease, and those who did not smoke. The final model confirmed the mediating effects of CPD; whereas, the direct effect from social impact to sleep disturbance did not reach statistical significance. The current study manifests the crucial role of CPD on the association between social impact and sleep disturbance, and timely intervention for CPD is warranted.


Subject(s)
COVID-19/psychology , Psychological Distress , Schizophrenia/complications , Sleep Wake Disorders/psychology , Social Change , Adult , COVID-19/epidemiology , COVID-19/transmission , Cross-Sectional Studies , Female , Health Services Accessibility , Humans , Male , Middle Aged , Pandemics , Risk Factors , Schizophrenic Psychology , Self Report/statistics & numerical data , Sleep Wake Disorders/diagnosis , Sleep Wake Disorders/epidemiology , Taiwan/epidemiology
16.
Front Immunol ; 12: 707287, 2021.
Article in English | MEDLINE | ID: covidwho-1359191

ABSTRACT

Background: The outbreak of Coronavirus disease 2019 (COVID-19) has become an international public health crisis, and the number of cases with dengue co-infection has raised concerns. Unfortunately, treatment options are currently limited or even unavailable. Thus, the aim of our study was to explore the underlying mechanisms and identify potential therapeutic targets for co-infection. Methods: To further understand the mechanisms underlying co-infection, we used a series of bioinformatics analyses to build host factor interaction networks and elucidate biological process and molecular function categories, pathway activity, tissue-specific enrichment, and potential therapeutic agents. Results: We explored the pathologic mechanisms of COVID-19 and dengue co-infection, including predisposing genes, significant pathways, biological functions, and possible drugs for intervention. In total, 460 shared host factors were collected; among them, CCL4 and AhR targets were important. To further analyze biological functions, we created a protein-protein interaction (PPI) network and performed Molecular Complex Detection (MCODE) analysis. In addition, common signaling pathways were acquired, and the toll-like receptor and NOD-like receptor signaling pathways exerted a significant effect on the interaction. Upregulated genes were identified based on the activity score of dysregulated genes, such as IL-1, Hippo, and TNF-α. We also conducted tissue-specific enrichment analysis and found ICAM-1 and CCL2 to be highly expressed in the lung. Finally, candidate drugs were screened, including resveratrol, genistein, and dexamethasone. Conclusions: This study probes host factor interaction networks for COVID-19 and dengue and provides potential drugs for clinical practice. Although the findings need to be verified, they contribute to the treatment of co-infection and the management of respiratory disease.


Subject(s)
COVID-19/drug therapy , COVID-19/pathology , Computational Biology/methods , Dengue/drug therapy , Dengue/pathology , Protein Interaction Maps/physiology , Antiviral Agents/therapeutic use , Chemokine CCL2/metabolism , Coinfection , Dengue Virus/drug effects , Dexamethasone/therapeutic use , Gene Expression Regulation/genetics , Genistein/therapeutic use , Humans , Intercellular Adhesion Molecule-1/metabolism , Lung/metabolism , Resveratrol/therapeutic use , SARS-CoV-2/drug effects , Signal Transduction
17.
Brief Bioinform ; 22(6)2021 11 05.
Article in English | MEDLINE | ID: covidwho-1246687

ABSTRACT

BACKGROUND: The clinical consequences of SARS-CoV-2 and DENGUE virus co-infection are not promising. However, their treatment options are currently unavailable. Current studies have shown that quercetin is both resistant to COVID-19 and DENGUE; this study aimed to evaluate the possible functional roles and underlying mechanisms of action of quercetin as a potential molecular candidate against COVID-19 and DENGUE co-infection. METHODS: We used a series of bioinformatics analyses to understand and characterize the biological functions, pharmacological targets and therapeutic mechanisms of quercetin in COVID-19 and DENGUE co-infection. RESULTS: We revealed the clinical characteristics of COVID-19 and DENGUE, including pathological mechanisms, key inflammatory pathways and possible methods of intervention, 60 overlapping targets related to the co-infection and the drug were identified, the protein-protein interaction (PPI) was constructed and TNFα, CCL-2 and CXCL8 could become potential drug targets. Furthermore, we disclosed the signaling pathways, biological functions and upstream pathway activity of quercetin in COVID-19 and DENGUE. The analysis indicated that quercetin could inhibit cytokines release, alleviate excessive immune responses and eliminate inflammation, through NF-κB, IL-17 and Toll-like receptor signaling pathway. CONCLUSIONS: This study is the first to reveal quercetin as a pharmacological drug for COVID-19 and DENGUE co-infection. COVID-19 and DENGUE co-infection remain a potential threat to the world's public health system. Therefore, we need innovative thinking to provide admissible evidence for quercetin as a potential molecule drug for the treatment of COVID-19 and DENGUE, but the findings have not been verified in actual patients, so further clinical drug trials are needed.


Subject(s)
COVID-19/drug therapy , Dengue Virus/chemistry , Dengue/drug therapy , Quercetin/chemistry , SARS-CoV-2/chemistry , COVID-19/complications , COVID-19/genetics , COVID-19/virology , Chemokine CCL2/chemistry , Chemokine CCL2/drug effects , Chemokine CCL2/genetics , Coinfection/drug therapy , Coinfection/genetics , Coinfection/virology , Dengue/complications , Dengue/genetics , Dengue/virology , Dengue Virus/drug effects , Humans , Interleukin-17/genetics , Interleukin-8/chemistry , Interleukin-8/drug effects , Interleukin-8/genetics , NF-kappa B/drug effects , NF-kappa B/genetics , Protein Interaction Maps/drug effects , Quercetin/therapeutic use , SARS-CoV-2/drug effects , Signal Transduction/drug effects , Tumor Necrosis Factor-alpha/chemistry , Tumor Necrosis Factor-alpha/drug effects , Tumor Necrosis Factor-alpha/genetics
18.
Front Psychol ; 12: 614964, 2021.
Article in English | MEDLINE | ID: covidwho-1238881

ABSTRACT

The COVID-19 is creating panic among people around the world and is causing a huge public mental health crisis. Large numbers of observational studies focused on the prevalence of psychological problems during the COVID-19 pandemic were published. It is essential to conduct a meta-analysis of the prevalence of different psychological statuses to insight the psychological reactions of general population during the COVID-19 epidemic in China. Sixty six observational studies about the psychological statuses of people during the COVID-19 were included, searching up to 1 December 2020. Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) was used to evaluate the quality of the included studies. OpenMeta[Analyst] was used for the data analysis. High prevalence of acute stress and fear symptoms were observed in the early period of the epidemic. Additionally, anxiety and depression symptoms continued at a high prevalence rate during the epidemic. It should alert the lasting mental health problems and the risk of post-traumatic stress disorder and other mental disorders. Systematic Review Registration: PROSPERO CRD 42020171485.

19.
Gen Psychiatr ; 34(3): e100344, 2021.
Article in English | MEDLINE | ID: covidwho-1236473

ABSTRACT

BACKGROUND: The COVID-19 pandemic has placed tremendous pressure on healthcare workers who are at the frontline in the battle against it, causing various forms of psychological distress. AIMS: To outline the prevalence and dynamic changing features of medical workers' psychological issues and to review the related national policies during the COVID-19 pandemic in China. METHODS: We systematically searched for studies on the psychological states of Chinese medical staff from 1 January 2020 to 8 May 2020. The aggregate prevalence of each psychological issue was calculated and plotted to observe the changes over time. Policies on psychological support for medical staff during the pandemic were reviewed to explore their link to the prevalence of psychological problems. RESULTS: In total, 26 studies were included in this study. A total of 22 062 medical workers were surveyed from 31 January to 27 February 2020. Medical staff exhibited a substantial prevalence of anxiety symptoms, depression symptoms, stress-related symptoms and sleep problems during the survey period, with aggregate prevalence rates of 27.0%, 26.2%, 42.1% and 34.5%, respectively. Cumulative meta-analyses revealed that the prevalence of psychological distress peaked at the beginning of the pandemic and subsequently exhibited a slow downward trend. CONCLUSION: Chinese medical staff displayed significant psychological disturbance during the outbreak of the COVID-19 pandemic, which was especially severe at the early stage. Implementing supportive policies may help alleviate ongoing psychological problems in healthcare workers.

20.
ACS Sens ; 6(5): 1963-1970, 2021 05 28.
Article in English | MEDLINE | ID: covidwho-1223060

ABSTRACT

Quantitative polymerase chain reaction (qPCR) is widely applied in foodborne pathogen detection and diagnosis. According to the cycles of threshold (Ct) values of qPCR testing, samples are judged as positive or negative. However, samples with Ct values in the gray zone are classified as "possibly positive" and required to be tested again. Repetitive qPCR may not eliminate the uncertain results but increase the workload of detection. CRISPR/Cas12a can specifically recognize the nucleic acid of the nM level and then indiscriminately slash the single-strand DNA with multiple turnovers. In this way, the detection signals can be greatly amplified. Here, we propose a CRISPR-based checking method to solve gray zone problems. After qPCR testing, the screening gray zone samples can be successfully checked by the CRISPR/Cas12a method. Furthermore, to conduct CRISPR reaction assay more conveniently and prevent possible aerosol contamination in the operational process, a gray zone checking cassette is designed. African swine fever virus (ASFV) is selected as an example to demonstrate the feasibility of the CRISPR-based checking method. Of 28 real swine blood samples, 6 ASFV qPCR gray zone samples are successfully checked. The CRISPR-based checking method provides a novel solution to eliminate gray zone sample problems with no additional effects on the PCR, which is operable and applicable in practical detection. The entire process can be completed within 10-15 min. This method will be a good supplementary and assistance for qPCR-based detection, especially in the diagnosis of diseases such as COVID-19.


Subject(s)
African Swine Fever Virus , COVID-19 , Animals , CRISPR-Cas Systems/genetics , Clustered Regularly Interspaced Short Palindromic Repeats , Humans , Polymerase Chain Reaction , SARS-CoV-2 , Swine
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