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Background: The coronavirus disease 2019 (COVID-19) pandemic has disproportionately affected socially disadvantaged groups;however, the association between socioeconomic status and healthcare utilization among COVID-19 patients remains unclear. Therefore, a systematic review and meta-analysis was conducted to assess the association between socioeconomic status and hospitalization and intensive care unit admission among COVID-19 patients.Methods: PubMed, Embase, and the Cochrane Register of Controlled Trials were searched for relevant litera-ture (updated to Jun 2022). Studies that investigated the association of social deprivation with hospitalization and intensive care unit admission in COVID-19 patients were included. The primary outcomes included risk of hospitalization and intensive care unit admission, measured by odds ratio.Results: Eleven studies covering 2,423,095 patients were included in the meta-analysis. Socially disadvantaged patients had higher odds of hospitalization in comparison to socially advantaged patients (odds ratio 1.25, 95% confidence interval: 1.14 to 1.38;P<0.01). The odds of intensive care unit admission among more deprived patients was not significantly different from that of less deprived patients (odds ratio 1.03, 95% confidence interval: 0.78 to 1.35;P=0.85). These findings were proven robust through subgroup and sensitivity analyses.Conclusion: Socially disadvantaged populations have higher odds of hospitalization if they become infected with COVID-19. More effective medical support and interventions for these vulnerable populations are re-quired to reduce inequity in healthcare utilization and alleviate the burden on healthcare systems.
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OBJECTIVE: A lack of objective biomarkers is preventing the screening and diagnosis of COVID-19 combined with major depression disorder (COVID-19-MDD). The purpose of this study was to identify diagnostic biomarkers and gene regulatory mechanisms associated with autophagy; a crucial process significantly involved in the pathogenesis of COVID-19-MDD. MATERIALS AND METHODS: In this study, differentially expressed genes (DEGs) were screened using GSE98793 from the GEO2R analysis (GEO) database, and intersected with the COVID-19-related gene (CRGs) and autophagy-related genes (ARGs) to obtain common genes involved in. Then, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of these common genes were performed. Subsequently, the transcription factor (TF)-gene regulatory network and comorbidity network were constructed. In addition, 10 drug candidates were screened using the DSigDB database. To identify diagnostic markers, we used LASSO regression. RESULTS: In total, 13 common genes were screened, which were primarily enriched in lysosomes, endoplasmic reticulum membranes, and other endomembrane systems also associated with autophagy. Additionally, these genes were involved in neurological cell signaling and have a functional role in pathways related to vascular endothelial growth factor, tyrosine kinase, autophagy, inflammation, immunity, and carcinogenesis. Tumors and psychiatric disorders were the most highly linked diseases to COVID-19. Finally, ten drug candidates and eight diagnostic markers (STX17, NRG1, RRAGD, XPO1, HERC1, HSP90AB1, EPHB2, and S1PR3) were screened. CONCLUSIONS: This is the first study to screen eight diagnostic markers and construct a gene regulatory network for COVID-19-MDD from the perspective of autophagy. The findings of our study provide novel insights into the diagnosis and treatment of COVID-19-MDD.
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COVID-19 , Depressive Disorder, Major , Humans , Computational Biology , COVID-19/genetics , Vascular Endothelial Growth Factor A , Biomarkers , Machine Learning , Autophagy/geneticsABSTRACT
In this study, the levels of fine particulate matter (PM2.5), polycyclic aromatic hydrocarbons (PAHs) and nitro-PAHs (NPAHs) in PM2.5 samples were determined from 2020 to 2021 in Singapore. For analysis convenience, the sampling period was classified according to two monsoon periods and the inter-monsoon period. Considering Singapore's typically tropical monsoon climate, the four seasons were divided into the northeast monsoon season (NE), southwest monsoon season (SW), presouthwest monsoon season (PSW) and prenortheast monsoon season (PNE)). The PM2.5 concentration reached 17.1 +/- 8.38 mu g/m(3), which was slightly higher than that in 2015, and the average PAH concentration continuously declined during the sampling period compared to that reported in previous studies in 2006 and 2015. This is the first report of NPAHs in Singapore indicating a concentration of 13.1 +/- 10.7 pg/m(3). The seasonal variation in the PAH and NPAH concentrations in PM2.5 did not obviously differ owing to the unique geographical location and almost uniform climate changes in Singapore. Diagnostic ratios revealed that PAHs and NPAHs mainly originated from local vehicle emissions during all seasons. 2-Nitropyrene (2-NP) and 2-nitrofluoranthene (2-NFR) in Singapore were mainly formed under the daytime OH-initiated reaction pathway. Combined with airmass backward trajectory analysis, the Indonesia air mass could have influenced Singapore's air pollution levels in PSW. However, these survey results showed that no effect was found on the concentrations of PAHs and NPAHs in PM2.5 in Indonesia during SW because of Indonesia's efforts in the environment. It is worth noting that air masses from southern China could impact the PAH and NPAH concentrations according to long-range transportation during the NE. The results of the total incremental lifetime cancer risk (ILCR) via three exposure routes (ingestion, inhalation and dermal absorption) for males and females during the four seasons indicated a low long-term potential carcinogenic risk, with values ranging from 10(-10) to 10(-7). This study systematically explains the latest pollution conditions, sources, and potential health risks in Singapore, and comprehensively analyses the impact of the tropical monsoon system on air pollution in Singapore, providing a new perspective on the transmission mechanism of global air pollution.
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Purpose Logistics capability is an important enabler of supply chain resilience (SCR). However, few studies have analyzed the underlying influence mechanism of logistics capability on SCR in extreme conditions, such as those of the COVID-19 pandemic. The purpose of this study is to increase understanding of the role of logistics capabilities in constituting a resilient supply chain. Design/methodology/approach Drawing upon the dynamic capability perspective and contingency theory, the proposed conceptual framework aims to demonstrate the relationship between a firm's logistics capabilities and SCR. Furthermore, the conceptual framework is illustrated by empirical evidence from a case study of a Chinese manufacturing company, which focuses on extracting practical lessons from the COVID-19 pandemic. Findings The findings suggest that digitalization, innovativeness, and modularization comprise potential mediating pathways for firm logistics capability to affect SCR and government policies, risk management culture, trust and cooperation moderate the effect positively. The potential associations are identified and elucidated by detecting the corresponding strategies and practices of a Chinese manufacturer that performed well amid the COVID-19 pandemic. Practical implications This study provides specific guidelines for logistics managers to enhance SCR during the COVID-19 pandemic. Seeing SCR as a dynamic capability, the framework is also instructive for manufacturers, supply chain members, and policymakers to achieve the sustained competitive advantage of supply chains. Originality/value The findings expand the understanding of enhancing SCR in a logistics approach. The empirical validation of propositions in the case study reveals a new vista for research on SCR.
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Hydrogen peroxide (H2O2) solution and its aerosols are common disinfectants, especially for urgent reuse of personal protective equipment during the COVID-19 pandemic. Highly sensitive and selective evaluation of the H2O2 concentration is key to customizing the sufficient disinfection process and avoiding disinfection overuse. Amperometric electrochemical detection is an effective means but poses challenges originated from the precarious state of H2O2. Here, an atomic Co-N-x-C site anchored neuronal-like carbon modified amperometric sensor (denoted as the CoSA-N/C@rGO sensor) is designed, which exhibits a broad detection range (from 250 nM to 50 mM), superior sensitivity (743.3 mu A mM(-1) cm(-2), the best among carbon-based amperometric sensors), strong selectivity (no response to interferents), powerful reliability (only 2.86% decay for one week) and fast response (just 5 s) for residual H2O2 detection. We validated the accuracy and practicability of the CoSA-N/C@rGO sensor in the actual H2O2 disinfection process of personal protective equipment. Further characterization verifies that the electrocatalytic activity and selective reduction of H2O2 is determined by the atomically dispersed Co-N-x-C sites and the high oxygen content of CoSA-N/C@rGO, where the response time and reliability of H2O2 detection is determined by the neuronal-like structure with high nitrogen content. Our findings pave the way for developing a sensor with superior sensitivity, selectivity and stability, rendering promising applications such as medical care and environmental treatment.
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At present, novel Coronavirus is spreading wordwide, with rapid speed, strong transinissibility and many spreading channels. On January 31, 2020, WHO declared the pneumonia (COVID-19) outbreak caused by novel Coronavirus to be "an public health emergency of international concern". As of May 31, 2020, Beijing time, the cumulative number of confirmed COVID-19 cases worldwide had exceeded 6.21 million, and the cumulative number of deaths had exceeded 370 000. The outbreak of COVID-19 has prompted Chinese medical and health prevention researchers to carry out a large number of studies on COVID-19, and the important achievements have been published in many medical journals at home and abroad. Through CNKI, this study analyzed and summarized COVID-19 related articles published by Chinese scholars in domestic medical journals from January to April 2020. It was found that COVID-19 related articles were published in a wide range of journals and research institutions, including hospitals, universities, research institutes and pharmaceutical companies. The research content is comprehensive, including pathogenesis, virus antibody detection, COVID-19 diagnosis, epidemic prevention and control strategies, vaccine development and treatment drug development, etc. The treatment of COVID-19 is multipath,including anti-virus, improving the body' s immunity. Western medicine treatment, TCM conditioning and integrated treatment of traditional Chinese and Western medicine. These research findings and diagnosis and treatment experience provide important references for the prevention and treatment of COVID-19 around the world.
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Along with the increasing of infections of COVID-19, nurses are needed more in caring patients with COVID-19. The aim of this study is to explore the real intention and influencing factors of the nurses' willingness to participate in public health emergency in facing the COVID-19. A total of 10 nurses who volunteered to care patients with COVID-19 were selected. Data were collected by semi-structured interviews and analyzed by content analysis method based on the theory of planned behavior. Three main categories were attitude, subjective norms and perceived behavior control. Under the first category, two subcategories were included: nurses' personal and professional value expectation, patriotism. Two subcategories were yielded for the second category: support from family and friends, role model impact of important people. In addition, three subcategories were identified for the third category: physical condition, professional knowledge and skills, national measures and incentive policies. Nurses with high willingness have seven features: high value expectation, patriotism, generous family support, good physical condition, experienced professional knowledge and skills, awareness of national measures and incentive policies. Combined with our previous quantitative study, developing tailored training programs to improve nurses' professional value expectation, knowledge and skills in coping with unwilling attitude and weak perceived behavior control are effective ways.
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Objective: To study the characteristics and risk factors of psychological and behavioral problems of children and adolescents of different ages and genders in long-term home-schooling during the coronavirus disease-2019 pandemic. Further, to provide scientific basis for more targeted psychological intervention and coping strategies in the future. Methods: A cross-sectional survey using an online questionnaire was conducted on students aged 6-16 years old in five representative cities of North (Beijing), East (Shanghai), West (Chongqing), South (Guangzhou) and Middle (Wuhan) in China. In this study, the social behavior and psychological abnormalities which was defined as the positive of any dimension were investigated in multiple dimensions during long-term home-schooling. The influencing factors of psycho-behavioral problems were analyzed by Logistic regression, and the confounding factors were corrected with graded multivariable adjustment. Results: A total of 6 906 valid questionnaires were collected including 3 592 boys and 3 314 girls, of whom 3 626 were children (6-11 years old) and 3 280 were adolescents (12-16 years old). The positive detection rate of psychosocial-behavioral problems were 13.0% (900/6 906) totally, 9.6% (344/3 592) in boys and 16.8% (556/3 314) in girls respectively, and 7.3%(142/1 946) in boys aged 6-11, 14.0%(235/1 680) in girls aged 6-11, 12.3%(202/1 646) in boys aged 12-16, 19.6%(321/1 634) in girls aged 12-16 respectively. There were significant differences between the psychological problems group and the non-psychological problems group in gender, parent-offspring conflict, number of close friends, family income change, sedentary time, homework time, screen exposure time, physical activity, dietary problems (χ²=78.851, 285.264, 52.839, 26.284, 22.778, 11.024, 10.688, 36.814, 70.982, all P<0.01). The most common symptoms in boys aged 6-11 years were compulsive activity, schizoid and depression, in girls aged 6-11 years were schizoid/compulsive activity, hyperactivity and social withdrawal, in boys aged 12-16 years were hyperactivity, compulsive activity and aggressive behavior, and in girls aged 12-16 years were schizoid, anxiety/compulsive activity and depression/withdrawal, respectively. After graded multivariable adjustment, besides the common risk factors, homework time and online study time were the risk factors of 6-11 years old groups [boys OR(95%CI): 1.750 (1.32-2.32), 1.214(1.00-1.47), girls: 1.579(1.25-1.99), 1.222(1.05-1.42), all P<0.05], videogames time were the risk factors of 12-16 years old groups [ boys: 2.237 (1.60-3.13), girls: 1.272 (1.00-1.61), all P<0.05]. Conclusions: Some children and adolescents may have psychological and behavioral problems during long-term home-schooling. The psychological and behavioral manifestations differed in age and gender subgroups, which deserve special attention in each subgroups. Schools, families and specialists should actively provide precise psychological support and comprehensive intervention strategies according to special features and risk factors.
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COVID-19 , Adaptation, Psychological , Adolescent , Child , China , Cross-Sectional Studies , Female , Humans , Male , SARS-CoV-2ABSTRACT
Objective: To systematically analyze the 670 convalescent plasma (CP) samples from patients with coro-navirus disease 2019 (COVID-19). Methods: The plasma samples were analyzed and evaluated for routine test items including hepatitis B virus surface antigen (HBsAg), hepatitis C virus (HCV) antibody, human immunodeficiency virus (HIV)-l/HI V-2 antibody, Treponema pallidum (TP) and alanine aminotransferase (ALT) as well as blood group, nucleic acid of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), IgG antibody, methylene blue residue and sterility. Results: A total of 121 substandard plasma samples were detected from 670 convalescent plasma samples, of which substandard IgG antibody titer accounted for the highest proportion of 7. 91%. In the turn of proportions, the blood groups were A (32. 52%), B (29. 94%), 0 (28. 886%) and AB (8. 66%). Ml the test results of nucleic acids of SARS-CoV-2 were negative. A total of 485 samples were from Wuhan, of which the highest proportion (21. 95%) were from the donors at ages of > 30 ∼ 35 years, including 264 males and 221 females. Of the high titer plasma, those at titers of not less than 1: 640 accounted for the highest proportion (77. 43%). Most of the IgG titers in plasma of common patients were not less than 1: 640 > 10 - 20 d, while were less than 1: 160 3 ∼ 10 d, after hospitalization. However, 35 plasma samples were negative for IgG antibody (at titers of less than 1: 80), in 9 of which other pathogens were detected. Conclusion: Unqualified IgG titer was the main reason for unqualified CP. The proportion of CP of group O was lower than that of the group in healthy population. The highest proportion of plasma donors in Wuhan was in the populations at ages of > 30 ∼ 35 years, which was higher in males than in females. Satisfactory immune responses were induced in most of patients in convalescence period, which removed the virus in vivo effectively. High antibody titers were induced > 10 ~ 20 d after hospitalization, making the common cases were not easy to change into severe ones. It was speculated that patients negative for IgG antibody might be infected with other pathogens. © 2020 Changchun Institute of Biological Products. All rights reserved.
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OBJECTIVES: Since December 2019, the novel coronavirus disease 2019 (COVID-19) that emerged in Wuhan city has spread rapidly around the world. The risk for poor outcome dramatically increases once a patient progresses to the severe or critical stage. The present study aims to investigate the risk factors for disease progression in individuals with mild to moderate COVID-19. METHODS: We conducted a cohort study that included 1007 individuals with mild to moderate COVID-19 from three hospitals in Wuhan. Clinical characteristics and baseline laboratory findings were collected. Patients were followed up for 28 days for observation of disease progression. The end point was the progression to a more severe disease stage. RESULTS: During a follow up of 28 days, 720 patients (71.50%) had recovered or were symptomatically stable, 222 patients (22.05%) had progressed to severe disease, 22 patients (2.18%) had progressed to the critically ill stage and 43 patients (4.27%) had died. Multivariate Cox proportional hazards models identified that increased age (hazard ratio (HR) 2.56, 95% CI 1.97-3.33), male sex (HR 1.79, 95% CI 1.41-2.28), presence of hypertension (HR 1.44, 95% CI 1.11-1.88), diabetes (HR 1.82, 95% CI 1.35-2.44), chronic obstructive pulmonary disease (HR 2.01, 95% CI 1.38-2.93) and coronary artery disease (HR 1.83, 95% CI 1.26-2.66) were risk factors for disease progression. History of smoking was protective against disease progression (HR 0.56, 95% CI 0.34-0.91). Elevated procalcitonin (HR 1.72, 95% CI 1.02-2.90), urea nitrogen (HR 1.72, 95% CI 1.21-2.43), α-hydroxybutyrate dehydrogenase (HR 3.02, 95% CI 1.26-7.21) and D-dimer (HR 2.01, 95% CI 1.12-3.58) at baseline were also associated with risk for disease progression. CONCLUSIONS: This study identified a panel of risk factors for disease progression in individuals with mild to moderate COVID-19.