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1.
Curr Med Imaging ; 2021 Dec 29.
Article in English | MEDLINE | ID: covidwho-1599092

ABSTRACT

BACKGROUND: Novel coronavirus disease 2019 (COVID-19) pneumonia remains a matter of concern. Chest CT findings of COVID-19 pneumonia have been reported widely, while there is relatively rare research on chest X-ray (CXR). OBJECTIVE: The study was aimed to compare the CXR and chest CT findings of patients with confirmed COVID-19 infection and to explore their respective clinical values. METHODS: 28 inpatients with COVID-19 pneumonia who underwent both CXR and CT were included. The pulmonary manifestations of the lesions were recorded. Ground-glass opacity (GGO), consolidation, and fibrosis were quantified in CXR and chest CT separately. Consistency was analyzed using Fleiss' kappa and intraclass correlation coefficient. The stages of the disease in CXR and chest CT were evaluated. RESULTS: Approximately 67.9% (19/28) of subjects had abnormal findings on CXR. The common manifestations in CXR were ground-glass opacities (GGO) (100%, 19/19) and consolidation (68.4%, 13/19). 92.9% (26/28) of patients had abnormal manifestations on CT. The common manifestations in CT were GGO (88.5%, 23/26), consolidation (69.2%, 18/26), reticular opacity (69.2%, 18/26) and nodule (46.2%, 12/26). Among the abnormalities between CXR and CT, only consolidation was consistent (κ=0.510). GGO (ICC=0.501) and consolidation (ICC=0.431) scores were consistent in CXR and chest CT. The results of staging were the same in 14 cases, most of them were in stage I and stage II. While in other cases with inconsistent results, CT was more advanced in the disease stage than CXR, mainly stage III and stage IV. CONCLUSION: CXR is helpful to observe the change of the pulmonary lesions in patients with confirmed COVID-19 pneumonia. CT can be used for early diagnosis and staging of lesions.

2.
J Med Virol ; 2021 Dec 21.
Article in English | MEDLINE | ID: covidwho-1589037

ABSTRACT

In December 2019, a new type of virus, coronavirus disease 2019 broke out globally and caused great harm. The virus mutates rapidly, and more research reports are urgently needed to increase our understanding of the disease. We found the reversed halo sign (RHS) occurred in the imaging manifestations of severe acute respiratory syndrome coronavirus 2 delta variant of concern pneumonia. In the absence of pathology, the mechanism is unknown. Therefore, we reported two cases of RHS and tried to speculate the pathological mechanism through multiple computed tomography follow-up comparisons to judge the prognosis of the disease.

3.
Preprint in English | EuropePMC | ID: ppcovidwho-295299

ABSTRACT

Backgroud: Virtual reality (VR) technology represents the future of medical education due to its unique advantages, especially with the Covid-19 pandemic lasting. We developed a laparoscopic VR surgery collaborative training platform hoping to shed light on future medical education in China. Methods: : We constructed a VR surgery training platform and designed surgery curriculum on laparoscopic cholecystectomy (LC). 36 first-year postgraduate students in China standardized training program for resident doctor (C-STRD) from the Third Xiangya Hospital of Central South University were enrolled for validation trials. In the Phase I trial, 12 students performed LC in the exploration mode. After training in the surgery learning mode, they performed LC again. The LC scores before and after training were compared. In the Phase II trial, another 12 students were randomly assigned to either the collaborative group or the control group. The former trained with a senior surgeon collaboratively in the surgery learning mode and then performed LC alone in the exploration mode. The latter trained in the surgery learning mode by themselves and performed LC in the exploration mode. The LC scores between groups were compared. The user experience (intention to use, skills improvement, usability, degree of enjoyment) were analyzed through questionnaires from the above 24 students. Interest in surgery learning of Phase I students was compared with 12 students who didn’t experience the VR platform. Results: : In Phase I trial, the mean LC scores of the students were elevated from 56.83 to 61.17 (p=0.042) after learning in surgery learning mode. In Phase II trial, collaborative group students had higher scores than their rivals (67.17 vs 61.33, p=0.014). Most students have a positive users’ experience regarding the intention to use and skills improvement. Collaborative group students had higher evaluation regarding usability. Students who experienced the VR platform were significantly more interested in future surgery learning (3.60 vs 2.58, p <0.05). Conclusion: Our study constructed a VR platform for collaborative surgery training, which showed an excellent training effect. Medical students rated the platform highly, and their interest in learning increased.

4.
Preprint in English | EuropePMC | ID: ppcovidwho-293357

ABSTRACT

Backgroud: Virtual reality (VR) technology represents the future of medical education due to its unique advantages, especially with the Covid-19 pandemic lasting. We developed a laparoscopic VR surgery collaborative training platform hoping to shed light on future medical education in China. Methods: : We constructed a VR surgery training platform and designed surgery curriculum on laparoscopic cholecystectomy (LC). 36 first-year postgraduate students in China standardized training program for resident doctor (C-STRD) from the Third Xiangya Hospital of Central South University were enrolled for validation trials. In the Phase I trial, 12 students performed LC in the exploration mode. After training in the surgery learning mode, they performed LC again. The LC scores before and after training were compared. In the Phase II trial, another 12 students were randomly assigned to either the collaborative group or the control group. The former trained with a senior surgeon collaboratively in the surgery learning mode and then performed LC alone in the exploration mode. The latter trained in the surgery learning mode by themselves and performed LC in the exploration mode. The LC scores between groups were compared. The user experience (intention to use, skills improvement, usability, degree of enjoyment) were analyzed through questionnaires from the above 24 students. Interest in surgery learning of Phase I students was compared with 12 students who didn’t experience the VR platform. Results: : In Phase I trial, the mean LC scores of the students were elevated from 56.83 to 61.17 (p=0.042) after learning in surgery learning mode. In Phase II trial, collaborative group students had higher scores than their rivals (67.17 vs 61.33, p=0.014). Most students have a positive users’ experience regarding the intention to use and skills improvement. Collaborative group students had higher evaluation regarding usability. Students who experienced the VR platform were significantly more interested in future surgery learning (3.60 vs 2.58, p <0.05). Conclusion: Our study constructed a VR platform for collaborative surgery training, which showed an excellent training effect. Medical students rated the platform highly, and their interest in learning increased.

5.
Anal Methods ; 13(47): 5772-5776, 2021 Dec 09.
Article in English | MEDLINE | ID: covidwho-1532164

ABSTRACT

The global COVID-19 pandemic starting at 2020 induced by the severe acute respiratory syndrome coronavirus 2 virus (SARS-CoV-2) has revealed a very pressing need for rapid, affordable and effective diagnosis for epidemic management and control. Although several commercialized analytical methods (e.g., reverse transcription polymerase chain reaction and enzyme linked immunosorbent assay) have been developed for detecting SARS-CoV-2, they are expensive and time-consuming. Most recently, low-cost molecularly imprinted polymer (MIP)-based sensors have received attention. In this study, by introducing gold/graphene (Au/Gr) nanohybrids to modify a screen-printed carbon electrode (SPCE) and using arginine as the functional monomer, a simple and highly sensitive MIP sensor was proposed to detect SARS-CoV-2 nucleocapsid protein (ncovNP). By optimizing various influencing factors, the proposed MIP sensor shows wide linear range and low detection limit for ncovNP owing to excellent electrical property and large surface of Au/Gr and specific recognition ability of MIP, revealing important potential application for the effective early diagnosis of COVID-19.

6.
Journal of Spectroscopy ; 2021, 2021.
Article in English | ProQuest Central | ID: covidwho-1518185

ABSTRACT

The plasma-activated water (PAW), as a new environmentally friendly nonthermal processing technology, has attracted wide attention for its applications in agriculture, food, and biomedical fields. This paper used the needle array-plate dielectric barrier discharge (needle array-plate DBD) device to activate deionized water and prepare PAW simply and efficiently. It was found that the concentration of reactive oxygen and nitrogen species (RONS) generated in the process of needle array-plate DBD was large and varied. Especially in the wavelength range of 600–770 nm, the spectral intensity is stronger. And, the ionic wind is more likely to interact with the deionized water. The changes in PAW parameters and UV/Vis spectra with treatment time were measured under different voltages and needle-dielectric plate distances. Results show that increasing discharge voltage or decreasing needle-dielectric plate distance increases the concentration of RONS, ionic wind speed, water evaporation, and conductivity of the PAW and decreases pH. UV/Vis spectra results show that prolonged treatment time results in increased total absorbance and concentrations of H2O2 and NO3− and that a new absorption peak appears at 210 nm in the UV/Vis spectra. When the wavelength is larger than 210 nm, a redshifted new peak and color enhancement are observed. The seeds of Astragalus adsurgens Pall were treated by discharge plasma, PAW, and the combination of plasma and PAW. It was found that high voltage and long-time activated PAW could significantly increase the ROS level of seeds and seedlings after germination for 3 days, resulting in oxidative stress damage. The survival rate of seeds was lower than that under the half lethal dose. This paper provides a feasible device design for treating activated water in large quantities with high efficiency, which is important for the application of PAW and mutation breeding of A. adsurgens Pall.

7.
Zool Res ; 42(6): 834-844, 2021 11 18.
Article in English | MEDLINE | ID: covidwho-1515719

ABSTRACT

Understanding the zoonotic origin and evolution history of SARS-CoV-2 will provide critical insights for alerting and preventing future outbreaks. A significant gap remains for the possible role of pangolins as a reservoir of SARS-CoV-2 related coronaviruses (SC2r-CoVs). Here, we screened SC2r-CoVs in 172 samples from 163 pangolin individuals of four species, and detected positive signals in muscles of four Manis javanica and, for the first time, one M. pentadactyla. Phylogeographic analysis of pangolin mitochondrial DNA traced their origins from Southeast Asia. Using in-solution hybridization capture sequencing, we assembled a partial pangolin SC2r-CoV (pangolin-CoV) genome sequence of 22 895 bp (MP20) from the M. pentadactyla sample. Phylogenetic analyses revealed MP20 was very closely related to pangolin-CoVs that were identified in M. javanica seized by Guangxi Customs. A genetic contribution of bat coronavirus to pangolin-CoVs via recombination was indicated. Our analysis revealed that the genetic diversity of pangolin-CoVs is substantially higher than previously anticipated. Given the potential infectivity of pangolin-CoVs, the high genetic diversity of pangolin-CoVs alerts the ecological risk of zoonotic evolution and transmission of pathogenic SC2r-CoVs.


Subject(s)
COVID-19/veterinary , Evolution, Molecular , Pangolins/virology , SARS-CoV-2/genetics , Animals , Genome, Viral , Phylogeny , RNA, Viral/genetics
8.
Front Public Health ; 9: 716483, 2021.
Article in English | MEDLINE | ID: covidwho-1515550

ABSTRACT

Objectives: To explore and understand the SARS-CoV-2 seroprevalence of convalescents, the association between antibody levels and demographic factors, and the seroepidemiology of convalescents of COVID-19 till March 2021. Methods: We recruited 517 voluntary COVID-19 convalescents in Sichuan Province and collected 1,707 serum samples till March 2021. Then we reported the seroprevalence and analyzed the associated factors. Results: Recent travel history was associated with IgM levels. Convalescents who had recent travel history were less likely to be IgM antibody negative [OR = 0.232, 95% CI: (0.128, 0.420)]. Asymptomatic cases had, approximately, twice the odds of being IgM antibody negative compared with symptomatic cases [OR = 2.583, 95% CI: (1.554, 4.293)]. Participants without symptoms were less likely to be IgG seronegative than those with symptoms [OR = 0.511, 95% CI: (0.293, 0.891)]. Convalescents aged 40-59 were less likely to be IgG seronegative than those aged below 20 [OR = 0.364, 95% CI: (0.138, 0.959)]. The duration of positive IgM antibodies persisted 365 days while the IgG persisted more than 399 days. Conclusions: Our findings suggested that recent travel history might be associated with the antibody levels of IgM, while age could be associated with the antibody levels of IgG. Infection type could be associated with both antibody levels of IgM and IgG that declined quicker in asymptomatic cases.


Subject(s)
COVID-19 , SARS-CoV-2 , Antibodies, Viral , China/epidemiology , Humans , Immunoglobulin G , Seroepidemiologic Studies
9.
Int J Environ Res Public Health ; 18(22)2021 11 12.
Article in English | MEDLINE | ID: covidwho-1512353

ABSTRACT

In the post-pandemic era, the need for resilient and flexible COVID-19 prevention strategies in rural areas has become increasingly prominent. Based on a sample of 2229 rural residents nationwide, the Structural Equation Model was adopted to analyze the influence of social capital and technological empowerment on pandemic resilience in rural areas. The proportion of diversity, adequacy, and effectiveness of pandemic prevention measures taken by communities was about 57%. Social capital (0.667) and technological empowerment (0.325) had a significant positive impact on rural resilience and pandemic prevention. Social capital plays a mediating role between technological empowerment and pandemic resilience in rural areas. The risk of disease in society stimulates the inherent social capital factors in villages, with the individual social network generating strong social support. Technological empowerment can not only provide new methods for the connection of social capital, but also bring new means for rural authorities to improve their governance capabilities. Social trust in social capital plays an important role in rural resilience and pandemic prevention. The indirect effect of technological empowerment through social capital on pandemic resilience is greater than its direct effect. Social capital construction is the key to rural resilience and pandemic prevention.

10.
Front Public Health ; 9: 730611, 2021.
Article in English | MEDLINE | ID: covidwho-1512061

ABSTRACT

Introduction: As of June 7, 2021, the outbreak of Coronavirus Disease 2019 (COVID-19) has spread to more than 200 countries. The global number of reported cases is more than 172.9 million, with more than 3.7 million deaths, and the number of infected individuals is still growing rapidly. Consequently, events and activities around the world were canceled or postponed, and the preparation for sporting events were greatly challenged. Under such circumstances, about 11,000 athletes from ~206 countries are arriving in Tokyo for the 32nd Summer Olympic Games. Therefore, it is urgently necessary to assess the occurrence and spread risk of COVID-19 for the Games. Objectives: To explore effective prevention and control measures for COVID-19 in large international events through simulations of different interventions according to risk assessment. Methods: We used a random model to calculate the number of initial infected patients and used Poisson distribution to determine the number of initial infected patients based on the number of countries involved. Furthermore, to simulate the COVID-19 transmission, the susceptible-exposed-symptomatic-asymptomatic-recovered-hospitalized (SEIARH) model was established based on the susceptible-exposed-infectious-recovered (SEIR) mathematical model of epidemic diseases. According to risk assessment indicators produced by different scenarios of the simulated interventions, the risk of COVID-19 transmission in Tokyo Olympic Games was assessed. Results: The current COVID-19 prevention measures proposed by the Japan Olympic Committee need to be enhanced. And large-scale vaccination will effectively control the spread of COVID-19. When the protective efficacy of vaccines is 78.1% or 89.8%, and if the vaccination rate of athletes reaches 80%, an epidemic prevention barrier can be established.


Subject(s)
COVID-19 , Sports , Humans , Risk Assessment , SARS-CoV-2 , Tokyo/epidemiology
11.
Int Immunopharmacol ; 101(Pt A): 108264, 2021 Dec.
Article in English | MEDLINE | ID: covidwho-1487769

ABSTRACT

Topoisomerase (TOP) inhibitors were commonly used as chemotherapeutic agents in the treatment of cancers. In our present study, we found that etoposide (ETO), a topoisomerase 2 (TOP2) inhibitor, upregulated the production of Interleukin 10 (IL-10) in lipopolysaccharide (LPS)-stimulated macrophages. Besides, other TOP2 inhibitors including doxorubicin hydrochloride (DOX) and teniposide (TEN) were also able to augment IL-10 production. Meanwhile, the expression levels of pro-inflammatory factors, for example IL-6 and TNF-α, were also decreased accordingly by the treatment of the TOP2 inhibitors. Of note, ETO facilitated IL-10 secretion, which might be regulated by transcription factor Maf via PI3K/AKT pathway, as pharmaceutic blockage of kinase PI3K or AKT attenuated ETO-induced Maf and IL-10 expression. Further, in LPS-induced mice sepsis model, the enhanced generation of IL-10 was observed in ETO-treated mice, whereas pro-inflammatory cytokines were decreased, which significantly reduced the mortality of mice from LPS-induced lethal cytokine storm. Taken together, these results indicated that ETO may exhibit an anti-inflammatory role by upregulating the alteration of transcription factor Maf and promoting subsequential IL-10 secretion via PI3K/Akt pathway in LPS-induced macrophages. Therefore, ETO may serve as a potential anti-inflammatory agent and employed to severe pro-inflammatory diseases including COVID-19.

12.
Environ Sci Technol ; 55(17): 12009-12018, 2021 09 07.
Article in English | MEDLINE | ID: covidwho-1483072

ABSTRACT

Diatrizoate, a refractory ionic iodinated X-ray contrast media (ICM) compound, cannot be efficiently degraded in a complex wastewater matrix even by advanced oxidation processes. We report in this research that a homogeneous process, thiourea dioxide (TDO) coupled with trace Cu(II) (several micromoles, ubiquitous in some wastewater), is effective for reductive deiodination and degradation of diatrizoate at neutral pH values. Specifically, the molar ratio of iodide released to TDO consumed reached 2 under ideal experimental conditions. TDO eventually decomposed into urea and sulfite/sulfate. Based on the results of diatrizoate degradation, TDO decomposition, and Cu(I) generation and consumption during the TDO-Cu(II) reaction, we confirmed that Cu(I) is responsible for diatrizoate degradation. However, free Cu(I) alone did not work. It was proposed that Cu(I) complexes are actual reactive species toward diatrizoate. Inorganic anions and effluent organic matter negatively influence diatrizoate degradation, but by increasing the TDO dosage, as well as extending the reaction time, its degradation efficiency can still be guaranteed for real hospital wastewater. This reduction reaction could be potentially useful for in situ deiodination and degradation of diatrizoate in hospital wastewater before discharge into municipal sewage networks.


Subject(s)
Diatrizoate , Water Pollutants, Chemical , Contrast Media , Oxidation-Reduction , Thiourea/analogs & derivatives , Waste Water , Water Pollutants, Chemical/analysis
13.
Sustainability ; 13(20):11496, 2021.
Article in English | ProQuest Central | ID: covidwho-1480973

ABSTRACT

Information technology service management (ITSM) driven by artificial intelligence (AI), i.e., AITSM, is likely to change business models and enterprise operations substantially, setting off a wave of enterprise AI transformation. Empowerment from AI has brought new vitality and challenges to ITSM capabilities, and enterprises must start thinking about how the capability of AITSM can be reactivated to shape the resilience of business models and meet survival needs in complex and ever-changing environments. To systematically achieve the development of enterprise business model resilience under AITSM, this study combines the actual situation of ITSM and enterprise AI transformation practice and then deconstruct it into three sub-research questions along the primary line of driver identification–model construction–paradigm optimization. We retrieve high-quality literature in the field of information systems from common databases and discuss the topics of AITSM and business model resilience. This study finds that future research should focus on forming an accurate description of the resilience demand of business models in the current era, and thus, better explain the value cocreation process between AITSM and business units. In addition, future research should emphasize the dynamic and strategic nature of business model resilience to study the continuous optimization of business models with the help of AITSM.

14.
Drug Dev Ind Pharm ; : 1-22, 2021 Oct 04.
Article in English | MEDLINE | ID: covidwho-1450327

ABSTRACT

PURPOSE: Through the method of network pharmacology, the active components and targets of Shenqi wan (SQW) were excavated, the relationship with COVID-19 was discussed, and the possible mechanism of SQW in the treatment of COVID-19 was revealed from the aspects of multi-components, multi-targets, and multi-pathways. METHODS: Firstly, the active components of SQW were screened from TCMSP and the 2020 edition of Chinese Pharmacopoeia, and the related targets of the components were obtained. Then the disease targets related to COVID-19 were screened from GeneCards and OMIM. Venny was used to map the relationship between component-target and disease-target, and String was used to analyzing the interaction of common targets. The network was constructed and analyzed by Cytoscape, the function of GO and KEGG genes was enriched by Metascape, and the molecular docking was verified by CB-Dock. RESULTS: Finally, 45 active components of SQW were obtained, and 72 potential targets were related to COVID-19, ACE2, IL6, NOS3, and CRP may be the key targets. GO enrichment of 1715 projects, such as lipopolysaccharide stress response, active oxygen metabolism, positive regulation of cell migration, and other GO enrichment. 136 KEGG pathways were obtained, TNF signaling pathway, IL-17 signaling pathway, HIF-1 signaling pathway. Molecular docking showed that kaempferol, quercetin, luteolin, astragaloside, calyx isoflavone glucoside, matrine, and other COVID-19-related targets such as ACE2, 3CLpro, PLpro, PTGS2 have good binding ability. CONCLUSION: According to the above results, it is suggested that SQW may play a role in the treatment of COVID-19 by directly or indirectly combining kaempferol, quercetin, and luteolin with ACE2, 3CLpro, PLpro, and PTGS2 to regulate multiple biological functions and signaling pathways.

15.
J Med Virol ; 2021 Sep 28.
Article in English | MEDLINE | ID: covidwho-1439702
16.
International Journal of Infectious Diseases ; 95:106-112, 2020.
Article in English | CAB Abstracts | ID: covidwho-1409634

ABSTRACT

Background: A pneumonia associated with the coronavirus disease 2019 (COVID-19) recently emerged in China. It was recognized as a global health hazard.

17.
Int J Gen Med ; 14: 4349-4367, 2021.
Article in English | MEDLINE | ID: covidwho-1360676

ABSTRACT

Objective: To identify the risk factors for predicting the dynamic progression of COVID-19. Methods: A total of 2321 eligible patients were included in this study from February 4 to April 15, 2020. Two illness conditions, including mild/moderate (M/M) subtype to severe/critical (S/C) and S/C to fatality, were classified. Clinical message was collected and compared, respectively. Kaplan-Meier method, Cox regression model and risk score system were used to predict disease progression in S/C COVID-19. Results: A total of 112 of 1761 patients with M/M subtype were progressors (P) and 1649 non-progressors (NP). Increasing disease progression associated with higher levels of neutrophils count (HR=1.958, 95% CI=1.253-3.059, P=0.003), CK (HR=2.203, 95% CI=1.048-4.632, P=0.037), LDH (HR=3.309, 95% CI=2.083-5.256, P<0.001) and CRP (HR=2.575, 95% CI=1.638-4.049, P<0.001), and lower level of lymphocytes count (HR=1.549, 95% CI=1.018-2.355, P=0.041), as well as total lesion volume ratio greater than ≥10% (HR=2.286, 95% CI=1.451-3.601, P<0.001) on admission. In progression to fatality, 56 of the 672 S/C cases died and 616 survived. Increasing fatality associated with lower level of lymphocytes count (HR:2.060, 95% CI:1.000-4.242, P=0.050), higher levels of BUN (HR:2.715, 95% CI:1.539-4.790, P<0.001), CK-MB (HR:3.412, 95% CI:1.760-6.616, P<0.001), LDH (HR:5.578, 95% CI:2.317-13.427, P<0.001), and PT (HR:3.619, 95% CI:2.102-6.231, P<0.001). Furthermore, high risk of neutrophils count, lymphocytes count, CK, LDH, CRP, and total lesion volume ratio was powerfully correlated with the incidence of progression to S/C in patients with NS COVID-19 and high odds of lymphocytes count, BUN, CK-MB, LDH, and PT were significantly associated with death in patients with S/C COVID-19. In addition, the progression and mortality rates increased with increasing risk scores. Conclusion: Elevated LDH level and lymphopenia were independent predictors for COVID-19 sustainable management in classifying non-severe patients who progressed to severe condition and identifying S/C patients who deteriorated to fatal outcomes as well. Total lesion volume ratio ≥10% may provide early predictive evidence with COVID-19 patients at high risk of developing into S/C to improve prognosis.

18.
Asian J Psychiatr ; 64: 102801, 2021 Oct.
Article in English | MEDLINE | ID: covidwho-1340519

ABSTRACT

OBJECTIVE: Children of parents with mental illness (COPMI) are vulnerable during the COVID-19 pandemic. The study aimed to assess the psychosocial impacts of the pandemic and identify potential factors influencing their mental health. METHOD: 665 COPMI from six sites including Wuhan in China were enrolled. COPMI's mental health and the impacts of COVID-19 were assessed by an online survey. Univariate and multivariate analyses were performed to examine the association between impact factors and participants' mental health. RESULTS: 16.1 % of participants were in abnormal range of mental health, with interpersonal relationship being the most common problem. 48.6 % of participants reported quite worried about the epidemic. All aspects of adverse effects of COVID-19 were more prevalent among COPMI in Wuhan than in other sites. Concerns about COVID-19 (OR = 1.7, p = 0.02), decreased family income (OR = 2.0, p = 0.02), being physically abused (OR = 2.1, p = 0.04), witnessing family members being physically abused (OR = 2.0, p = 0.03), and needs for promoting family members' mental health (OR = 2.2, p < 0.01) were independent risk factors for participants' mental health. CONCLUSION: The findings raise our awareness of the impacts of COVID-19 pandemic on the wellbeing of COPMI. Multifaceted psychosocial support for COPMI is urgently needed to support them live through the pandemic.


Subject(s)
COVID-19 , Mental Disorders , Child , China/epidemiology , Cross-Sectional Studies , Humans , Mental Disorders/epidemiology , Pandemics , Parents , SARS-CoV-2
19.
Cell Discov ; 7(1): 49, 2021 Jul 06.
Article in English | MEDLINE | ID: covidwho-1298837

ABSTRACT

SARS-CoV-2 infection causes a wide spectrum of clinical manifestations in humans, and olfactory dysfunction is one of the most predictive and common symptoms in COVID-19 patients. However, the underlying mechanism by which SARS-CoV-2 infection leads to olfactory disorders remains elusive. Herein, we demonstrate that intranasal inoculation with SARS-CoV-2 induces robust viral replication in the olfactory epithelium (OE), not the olfactory bulb (OB), resulting in transient olfactory dysfunction in humanized ACE2 (hACE2) mice. The sustentacular cells and Bowman's gland cells in the OE were identified as the major target cells of SARS-CoV-2 before invasion into olfactory sensory neurons (OSNs). Remarkably, SARS-CoV-2 infection triggers massive cell death and immune cell infiltration and directly impairs the uniformity of the OE structure. Combined transcriptomic and quantitative proteomic analyses revealed the induction of antiviral and inflammatory responses, as well as the downregulation of olfactory receptor (OR) genes in the OE from the infected animals. Overall, our mouse model recapitulates olfactory dysfunction in COVID-19 patients and provides critical clues for understanding the physiological basis for extrapulmonary manifestations of COVID-19.

20.
Journal of Loss Prevention in the Process Industries ; : 104583, 2021.
Article in English | ScienceDirect | ID: covidwho-1284226

ABSTRACT

The COVID-19 epidemic has caused a lack of data on highway transportation accidents involving dangerous goods in China in the first quarter of 2020, and this lack of data has seriously affected research on highway transportation accidents involving dangerous goods. This study strives to compensate for this lack to a certain extent and reduce the impact of missing data on research of dangerous goods transportation accidents. Data pertaining to 2340 dangerous goods accidents in the process of highway transportation in China from 2013 to 2019 are obtained with webpage crawling software. In this paper, the number of monthly highway transportation accidents involving dangerous goods from 2013 to 2019 is determined, and the time series of transportation accidents and an autoregressive moving average (ARMA) prediction model are established. The prediction accuracy of the model is evaluated based on the actual number of dangerous goods highway transportation accidents in China from 2017 to 2019. The results indicate that the mean absolute percentage error (MAPE) between the actual and predicted values of dangerous goods highway transportation accidents from 2017 to 2019 is 0.147, 0.315 and 0.29. Therefore, the model meets the prediction accuracy requirements. Then, the prediction model is applied to predict the number of dangerous goods transportation accidents in the first quarter of 2020 in China. Twenty-two accidents are predicted in January, 23 accidents in February and 27 accidents in March. The results provide a reference for the study of dangerous goods transportation accidents and the formulation of accident prevention and emergency measures.

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