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1.
Proceedings of the 12th Workshop on Computational Approaches to Subjectivity, Sentiment & Social Media Analysis ; : 16-24, 2022.
Article in English | Web of Science | ID: covidwho-2030777

ABSTRACT

COVID-19 has disproportionately threatened minority communities in the U.S, not only in health but also in societal impact. However, social scientists and policymakers lack critical data to capture the dynamics of the anti-Asian hate trend and to evaluate its scale and scope. We introduce new datasets from Twitter related to anti-Asian hate sentiment before and during the pandemic. Relying on Twitter's academic API, we retrieve hateful and counter-hate tweets from the Twitter Historical Database. To build contextual understanding and collect related racial cues, we also collect instances of heated arguments, often political, but not necessarily hateful, discussing Chinese issues. We then use the state-of-the-art hate speech classifiers to discern whether these tweets express hatred. These datasets can be used to study hate speech, general anti-Asian or Chinese sentiment, and hate linguistics by social scientists as well as to evaluate and build hate speech or sentiment analysis classifiers by computational scholars.

2.
Clinical and Translational Medicine ; 12(9):e1016, 2022.
Article in English | MEDLINE | ID: covidwho-2027332

ABSTRACT

BACKGROUND: To determine an appropriate dose of, and immunization schedule for, a vaccine SCoK against COVID-19 for an efficacy study;herein, we conducted randomized controlled trials to assess the immunogenicity and safety of this vaccine in adults. METHODS: These randomized, double-blind, placebo-controlled phase 1 and 2 trials of vaccine SCoK were conducted in Binhai District, Yan City, Jiangsu Province, China. Younger and older adult participants in phase 1 and 2 trials were sequentially recruited into different groups to be intramuscularly administered 20 or 40 mug vaccine SCoK or placebo. Participants were enrolled into our phase 1 and 2 studies to receive vaccine or placebo. RESULTS: No serious vaccine-related adverse events were observed in either trial. In both trials, local and systemic adverse reactions were absent or mild in most participants. In our phase 1 and 2 studies, the vaccine induced significantly increased neutralizing antibody responses to pseudovirus and live SARS-CoV-2. The vaccine induced significant neutralizing antibody responses to live SARS-CoV-2 on day 14 after the last immunization, with NT50s of 80.45 and 92.46 in participants receiving 20 and 40 mug doses, respectively;the seroconversion rates were 95.83% and 100%. The vaccine SCoK showed a similar safety and immunogenicity profiles in both younger participants and older participants. The vaccine showed better immunogenicity in phase 2 than in phase 1 clinical trial. Additionally, the incidence of adverse reactions decreased significantly in phase 2 clinical trial. The vaccine SCoK was well tolerated and immunogenic.

3.
American Journal Of Translational Research ; 14(8):5719-5729, 2022.
Article in English | MEDLINE | ID: covidwho-2027183

ABSTRACT

Patients with major psychiatric disorders (MPD) that include schizophrenia (SCH), bipolar disorder (BP), and major depressive disorder (MDD) are at increased risk for coronavirus disease 2019 (COVID-19). However, the safety and efficacy of COVID-19 vaccines in MPD patients have not been fully evaluated. This study aimed to investigate adverse events (AEs)/side effects and efficacy of COVID-19 vaccines in MPD patients. This retrospective study included 2034 patients with SCH, BP, or MDD who voluntarily received either BBIBP-CorV or Sinovac COVID-19 vaccines, and 2034 matched healthy controls. The incidence of AEs/side effects and the efficacy of COIVD-19 vaccinations among the two groups were compared. The risk ratio (RR) of side effects in patients with MPD was 0.60 (95% confidence interval [CI]: 0.53-0.68) after the first dose and 0.80 (95% CI: 0.65-0.99) following the second dose, suggesting a significantly lower risk in the MPD group versus healthy controls. The RRs of AEs did not differ between patients and controls. Notably, fully vaccinated patients exhibited a decreased risk of influenza with or without fever compared with controls (RR=0.38, 95% CI: 0.31-0.46;RR=0.23, 95% CI: 0.17-0.30;respectively). Further subgroup comparisons revealed a significantly lower risk of influenza with fever in MDD (RR=0.13, 95% CI: 0.08-0.21) and SCH (RR=0.24, 95% CI: 0.17-0.34) than BP (RR=0.85, 95% CI: 0.69-1.06) compared to controls. We conclude that the benefit-risk ratio of COVID-19 vaccination was more favorable in SCH or MDD versus BP when compared with controls. These data indicate that COVID-19 vaccines are safe and protective in patients with MPD from COVID-19.

4.
Clinical and Translational Gastroenterology ; 31:31, 2022.
Article in English | MEDLINE | ID: covidwho-2025671

ABSTRACT

BACKGROUND: An estimated 15%-29% of patients report new gastrointestinal symptoms after COVID-19 while 4% -31% report new depressive symptoms. These symptoms may be secondary to gut microbiome tryptophan metabolism and 5-hydroxytryptamine (5-HT)-based signaling. METHODS: This study utilized specimens from 2 patient cohorts: (1) fecal samples from patients with acute COVID-19 who participated in a randomized controlled trial testing prebiotic fiber;and (2) blood samples from patients with acute COVID-19. Six months after recovering from COVID-19, both cohorts answered questions related to gastrointestinal symptoms and anxiety or depression. Microbiome composition and function, focusing on tryptophan metabolism-associated pathways, and plasma 5-HT were assessed. RESULTS: In the first cohort (n=13), gut microbiome L-tryptophan biosynthesis during acute COVID-19 was decreased among those who developed more severe gastrointestinal symptoms (2.0-fold lower log activity comparing those with the most severe gastrointestinal symptoms versus those with no symptoms, P=0.06). All tryptophan pathways showed decreased activity among those with more GI symptoms. The same pathways were also decreased in those with the most severe mental health symptoms after COVID-19. In an untargeted analysis, 5 additional metabolic pathways significantly differed based on subsequent development of gastrointestinal symptoms. In the second cohort (n=39,), plasma 5-HT concentration at the time of COVID-19 was increased 5.1-fold in those with gastrointestinal symptoms alone compared to those with mental health symptoms alone (P=0.02). CONCLUSIONS: Acute gut microbiome-mediated reduction in 5-HT signaling may contribute to long-term gastrointestinal and mental health symptoms after COVID-19. Future studies should explore modification of 5-HT signaling to reduce post-COVID symptoms.

5.
Frontiers in Immunology ; 13:939311, 2022.
Article in English | MEDLINE | ID: covidwho-2022716

ABSTRACT

Background: Owing to the coronavirus disease 2019 (COVID-19) pandemic and the emergency use of different types of COVID-19 vaccines, there is an urgent need to consider the effectiveness and persistence of different COVID-19 vaccines. Methods: We investigated the immunogenicity of CoronaVac and Covilo, two inactivated vaccines against COVID-19 that each contain inactivated severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The levels of neutralizing antibodies to live SARS-CoV-2 and the inhibition rates of neutralizing antibodies to pseudovirus, as well as the immunoglobulin (Ig)G and IgM responses towards the spike (S) and nucleocapsid (N) protein of SARS-CoV-2 at 180 days after two-dose vaccination were detected. Results: The CoronaVac and Covilo vaccines induced similar antibody responses. Regarding neutralizing antibodies to live SARS-CoV-2, 77.9% of the CoronaVac vaccine recipients and 78.3% of the Covilo vaccine recipients (aged 18-59 years) seroconverted by 28 days after the second vaccine dose. Regarding SARS-CoV-2-specific antibodies, 97.1% of the CoronaVac vaccine recipients and 95.7% of the Covilo vaccine recipients seroconverted by 28 days after the second vaccine dose. The inhibition rates of neutralizing antibody against a pseudovirus of the SARS-CoV-2 Delta variant were significantly lower compared with those against a pseudovirus of wildtype SARS-CoV-2. Associated with participant characteristics and antibody levels, persons in the older age group and with basic disease, especially a chronic respiratory disease, tended to have lower anti-SARS-CoV-2 antibody seroconversion rates. Conclusion: Antibodies that were elicited by these two inactivated COVID-19 vaccines appeared to wane following their peak after the second vaccine dose, but they persisted at detectable levels through 6 months after the second vaccine dose, and the effectiveness of these antibodies against the Delta variant of SARS-CoV-2 was lower than their effectiveness against wildtype SARS-CoV-2, which suggests that attention must be paid to the protective effectiveness, and its persistence, of COVID-19 vaccines on SARS-CoV-2 variants.

6.
IEEE Network ; : 1-7, 2022.
Article in English | Scopus | ID: covidwho-2018975

ABSTRACT

COVID-19 has now been sweeping the whole world, and fundamentally affecting our daily life. An effective mechanism to further fight against COVID-19 and prevent the spread of this pandemic is to alert people when they are in the vicinity of areas with a high infection risk, yielding them to adjust their routes and consequently, leave these areas. Inspired by the fact that mobile communication networks are capable of precise positioning, data processing and information broadcasting, as well as are available for almost every person, in this paper, we propose a mobile network assisted Risk arEa ALerting scheme, named REAL, which exploits heterogeneous mobile networks to alert users who are in/near to the areas with high risks of COVID- 19 infection. Specifically, in REAL scheme, all base stations (BSs) periodically estimate their serving users' locations, which are then analyzed by macro BSs (MBSs) to identify risk areas. Next, each MBS transmits the information about risk areas to small BSs (SBSs), which in their turn adjust the beamforming direction to cover these areas and send alerts to users located therein. Simulation results validate the effectiveness of the proposed REAL scheme. In addition, some key challenges associated with implementing REAL are discussed at the end. IEEE

7.
IEEE Journal of Biomedical & Health Informatics. PP ; 06:06, 2022.
Article in English | MEDLINE | ID: covidwho-2018931

ABSTRACT

The emergence of coronavirus disease 2019 (COVID-19) has had a significant impact on healthcare and the economy. To understand the COVID-19 disease mechanism and the related biological functions in the short term, both clinicians and scientists are making every effort to find an efficient way to collect and explore the vast amount of COVID-19-related knowledge. Representation learning has been highlighted as a promising method to construct a COVID-19 knowledge graph. However, most existing representation learning models do not perform very well when dealing with the COVID-19 knowledge graph because of its low-connected star-like structure and various nonlinear relationships. In this study, we propose a novel representation learning model called translation on hyperplanes with an activation operation and similar semantic sampling (SimH) for COVID-19 knowledge graphs. Specifically, the activation operation is designed to provide additional interaction features for low-in-degree entities by interaction feature permutation and share relation-specific partitions of pairwise interactions by an activation vector. As a result, problems that fewer features are captured from low-in-degree entities are alleviated. Moreover, hyperplane projection is introduced to the distance-based scoring function so that nonlinear relationships can be modeled while the lower complexity is maintained, as compared to other nonlinear models. To consider that negative sampling can improve the embedding quality of fact triples, a negative triplet sampling method that adaptively replaces entities with similar semantics is introduced to generate reliable negative triplets. Extensive experiments are conducted on the COVID-19-Concepts dataset. The experimental results show that our SimH model achieves significant improvements in prediction and classification accuracy over existing knowledge representation learning models.

8.
Crit Rev Food Sci Nutr ; : 1-19, 2022.
Article in English | PubMed | ID: covidwho-2017283

ABSTRACT

During the coronavirus disease 2019 (COVID-19) pandemic and continuing emergence of viral mutants, there has been a lack of effective treatment methods. Zinc maintains immune function, with direct and indirect antiviral activities. Zinc nutritional status is a critical factor in antiviral immune responses. Importantly, COVID-19 and zinc deficiency overlap in high-risk population. Hence, the potential effect of zinc as a preventive and adjunct therapy for COVID-19 is intriguing. Here, this review summarizes the immune and antiviral function of zinc, the relationship between zinc levels, susceptibility, and severity of COVID-19, and the effect of zinc supplementation on COVID-19. Existing studies have confirmed that zinc deficiency was associated with COVID-19 susceptibility and severity. Zinc supplementation plays a potentially protective role in enhancing immunity, decreasing susceptibility, shortening illness duration, and reducing the severity of COVID-19. We recommend that zinc levels should be monitored, particularly in COVID-19 patients, and zinc as a preventive and adjunct therapy for COVID-19 should be considered for groups at risk of zinc deficiency to reduce susceptibility and disease severity.

9.
Crit Rev Food Sci Nutr ; : 1-12, 2022.
Article in English | Web of Science | ID: covidwho-2017281

ABSTRACT

Critical illness leads to millions of deaths worldwide each year, with a significant surge due to the COVID-19 pandemic. Patients with critical illness are frequently associated with systemic metabolic disorders and malnutrition. The idea of intervention for critically ill patients through enteral and parenteral nutrition has been paid more and more attention gradually. However, current nutritional therapies focus on evidence-based practice, and there have been lacking holistic approaches for nutritional support assessment. Metabolomics is a well-established omics technique in system biology that enables comprehensive profiling of metabolites in a biological system and thus provides the underlying information expressed and modulated by all other omics layers. In recent years, with the development of high-resolution and accurate mass spectrometry, metabolomics entered a new "generation", promoting its broader applications in critical care nutrition. In this review, we first described the technological development and milestones of next-generation metabolomics in the past 20 years. We then discussed the emerging roles of next-generation metabolomics in advancing our understanding of critical care nutrition, such as nutritional deficiency risk evaluation, metabolic mechanisms of nutritional therapies, and novel nutrition target identification.

10.
25th International Conference on Miniaturized Systems for Chemistry and Life Sciences, MicroTAS 2021 ; : 969-970, 2021.
Article in English | Scopus | ID: covidwho-2011590

ABSTRACT

Nucleic acid amplification detection is one of the most widely used molecular diagnostic techniques in recent years, which can rapidly and efficiently amplify the characteristic nucleotide sequences of pathogenic bacteria in the diagnosis of infectious diseases, it has been widely used in clinical diagnosis, disease screening and other fields. In this work, we report a micro-cavity digital PCR for rapid detection of pathogens on a silicon-based microfluidic chip. The device has the advantages of high flux, no pumping, rapid reaction, quantification and high sensitivity. © 2021 MicroTAS 2021 - 25th International Conference on Miniaturized Systems for Chemistry and Life Sciences. All rights reserved.

11.
Natural Product Communications ; 17(8), 2022.
Article in English | Web of Science | ID: covidwho-2005549

ABSTRACT

Objective: To explore the potential active components of Chaiyin particles (CYPs) in the treatment of coronavirus disease 2019 (COVID-19) and their mechanism of action using network pharmacology and molecular docking technology. Methods: Based on the components of CYPs, we obtained potential targets of the interaction between CYPs and severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The potential targets were analyzed by protein-protein interaction, gene ontology, and Kyoto Encyclopedia of Genes and Genomes pathway analyses. The key active components of CYPs were subjected to molecular docking with 3-chymotrypsin-like protease, angiotensin-converting enzyme II (ACE2), RNA-dependent RNA polymerase, and papain-like protease. The components that may bind to the key target proteins of SARS-CoV-2 were screened to obtain the potential active components, targets and pathways for CYP treatment of COVID-19. The above-described network analysis results were then verified experimentally. Results: CYPs may prevent and treat COVID-19 by inhibiting the release of inflammatory factors such as IL-6 and TNF-alpha;participating in the AGE-Rage signaling pathway, the HIF-1 signaling pathway, and other anti-inflammatory, antiviral, and immune regulatory signaling pathways;and blocking ACE2 via fortunellin and baicalin. Conclusion: This work illustrated that CYPs mainly play an anti-inflammatory and immunomodulatory role in COVID-19 prevention and treatment. The potential active components and molecular mechanism of CYPs can provide theoretical support and a pharmacological basis for further development and utilization of CYPs in the prevention and treatment of COVID-19. These results provide important insights into future studies of Traditional Chinese medicines (TCMs) modernization and prevention.

12.
Acs Photonics ; 2022.
Article in English | Web of Science | ID: covidwho-2004745

ABSTRACT

Recent advances in the Medical Internet of Things (MIoT) and big data enable a prospering platform for pervasive healthcare and facilitate the transformation from hospital-centered to human-centered healthcare. Wearable devices as human interfaces provide first-hand data and real-time monitoring, which are key technologies in the MIoT. Several remarkable surveys have been conducted to summarize the recent progress in wearable sensors and systems for the MIoT and pervasive medicine. However, few have focused on wearable optical sensing (WOS) technologies, which is an emerging sensing modality in wearable devices. WOS can achieve high precision, high compatibility, high anti-interference, and low motion artifacts for human vital signal acquisition, which are particularly useful in special scenarios such as intensive care units (ICUs). These technologies can also be integrated with smart fabrics or mobile computing for out-of-hospital healthcare. This work provides the first literature review of WOS for pervasive medicine. We aim to systematically summarize the emerging WOS technologies in the MIoT for disease diagnosis and health monitoring. Specifically, this review covers the technical bases and design principles of major WOS technologies and their application domains for monitoring and treatment. We also discuss the opportunities and challenges, especially in the COVID-19 outbreak.

13.
J Med Virol ; 2022.
Article in English | PubMed | ID: covidwho-1999883

ABSTRACT

The spike trimer of SARS-CoV-2 is an effective target for inducing neutralizing antibodies by COVID-19 vaccines. However, the diversity of spike protein from emerging SASR-CoV-2 variants has become the major challenge for development of a universal vaccine. In order to investigate the immunogenicity of spike proteins from various circulating strains including wild-type, Delta and Omicron variants, we produced various natural spike trimers and designed three vaccination strategies, i.e. individual, sequential and bivalent regimens to assess autologous and heterogenous antibody responses in a mouse model. The results indicated that monovalent vaccine strategy with individual spike trimer could only induce binding and neutralizing antibodies against homologous viruses. However, sequential and bivalent immunization with Delta and Omicron spike trimers could induce significantly broader neutralizing antibody responses against heterogenous SARS-CoV-2. Interestingly, the spike trimer from Omicron variant showed superior immunogenicity in inducing antibody response against recently emerging XE variant. Taken together, our data supported the development of novel vaccination strategies or multivalent vaccine against emerging variants. This article is protected by copyright. All rights reserved.

14.
PLoS ONE [Electronic Resource] ; 17(8):e0273344, 2022.
Article in English | MEDLINE | ID: covidwho-2002328

ABSTRACT

This study explored the roles of epidemic-spread-related behaviors, vaccination status and weather factors during the COVID-19 epidemic in 50 U.S. states since March 2020. Data from March 1, 2020 to February 5, 2022 were incorporated into panel model. The states were clustered by the k-means method. In addition to discussing the whole time period, we also took multiple events nodes into account and analyzed the data in different time periods respectively by panel linear regression method. In addition, influence of cluster grouping and different incubation periods were been discussed. Non-segmented analysis showed the rate of people staying at home and the vaccination dose per capita were significantly negatively correlated with the daily incidence rate, while the number of long-distance trips was positively correlated. Weather indicators also had a negative effect to a certain extent. Most segmental results support the above view. The vaccination dose per capita was unsurprisingly proved to be the most significant factor especially for epidemic dominated by Omicron strains. 7-day was a more robust incubation period with the best model fit while weather had different effects on the epidemic spread in different time period. The implementation of prevention behaviors and the promotion of vaccination may have a successful control effect on COVID-19, including variants' epidemic such as Omicron. The spread of COVID-19 also might be associated with weather, albeit to a lesser extent.

15.
Thromb J ; 20(1):47, 2022.
Article in English | PubMed | ID: covidwho-2002193

ABSTRACT

BACKGROUND: Previous studies demonstrate a reduced risk of thrombosis and mortality with anticoagulant treatment in patients with COVID-19 than in those without anticoagulation treatment. However, an open question regarding the efficacy and safety of therapeutic anticoagulation (T-AC) versus a lower dose, prophylaxis anticoagulation (P-AC) in COVID-19 patients is still controversial. METHODS: We systematically reviewed currently available randomized clinical trials (RCTs) and observational studies (OBs) from January 8, 2019, to January 8, 2022, and compared prophylactic and therapeutic anticoagulant treatment in COVID-19 patients. The primary outcomes were risk of mortality, major bleeding, and the secondary outcomes included venous and arterial thromboembolism. Subgroup analysis was also performed between critically ill and non-critically ill patients with COVID-19 and between patients with higher and lower levels of D-dimer. Sensitivity analysis was performed to decrease the bias and the impact of population heterogeneity. RESULTS: We identified 11 RCTs and 17 OBs fulfilling our inclusion criteria. In the RCTs analyses, there was no statistically significant difference in the relative risk of mortality between COVID-19 patients with T-AC treatment and those treated with P-AC (RR 0.95, 95% CI, 0.78-1.15, P = 0.60). Similar results were also found in the OBs analyses (RR 1.21, 95% CI, 0.98-1.49, P = 0.08). The pooling meta-analysis using a random-effects model combined with effect sizes showed that in the RCTs and OBs analyses, patients with COVID-19 who received T-AC treatment had a significantly higher relative risk of the major bleeding event than those with P-AC treatment in COVID-19 patients (RCTs: RR 1.76, 95% CI, 1.19-2.62, P = 0.005;OBs: RR 2.39, 95% CI, 1.56-3.68, P < 0.0001). Compared with P-AC treatment in COVID-19 patients, patients with T-AC treatment significantly reduced the incidence of venous thromboembolism (RR 0.51, 95% CI, 0.39-0.67, P<0.00001), but it is not associated with arterial thrombosis events (RR 0.97, 95% CI, 0.66-1.42, P = 0.87). The subgroup analysis of OBs shows that the mortality risk significantly reduces in critically ill COVID-19 patients treated with T-AC compared with those with P-AC treatment (RR 0.58, 95% CI, 0.39-0.86, P = 0.007), while the mortality risk significantly increases in non-critically ill COVID-19 patients treated with T-AC (RR 1.56, 95% CI, 1.34-1.80, P < 0.00001). In addition, T-AC treatment does not reduce the risk of mortality in COVID-19 patients with high d-dimer levels in RCTs. Finally, the overall sensitivity analysis after excluding two RCTs studies remains consistent with the previous results. CONCLUSIONS: In our integrated analysis of included RCTs and OBs, there is no significant difference between the mortality of T-AC and P-AC treatment in unselected patients with COVID-19. T-AC treatment in COVID-19 patients significantly reduced the incidence of venous thromboembolism but showed a higher risk of bleeding than those with P-AC treatment. In addition, P-AC treatment was superior to T-AC treatment in non-critically ill COVID-19 patients, the evidence supporting the necessity for T-AC treatment in critically ill COVID-19 patients came only from OBs. TRIAL REGISTRATION: Protocol registration: The protocol was registered at PROSPERO (CRD42021293294).

16.
BMC Med ; 20(1):314, 2022.
Article in English | PubMed | ID: covidwho-2002177

ABSTRACT

BACKGROUND: Whether a genetic predisposition to psychiatric disorders is associated with coronavirus disease 2019 (COVID-19) is unknown. METHODS: Our analytic sample consisted of 287,123 white British participants in UK Biobank who were alive on 31 January 2020. We performed a genome-wide association study (GWAS) analysis for each psychiatric disorder (substance misuse, depression, anxiety, psychotic disorder, and stress-related disorders) in a randomly selected half of the study population ("base dataset"). For the other half ("target dataset"), the polygenic risk score (PRS) was calculated as a proxy of individuals' genetic predisposition to a given psychiatric phenotype using discovered genetic variants from the base dataset. Ascertainment of COVID-19 was based on the Public Health England dataset, inpatient hospital data, or death registers in UK Biobank. COVID-19 cases from hospitalization records or death records were considered "severe cases." The association between the PRS for psychiatric disorders and COVID-19 risk was examined using logistic regression. We also repeated PRS analyses based on publicly available GWAS summary statistics. RESULTS: A total of 143,562 participants (including 10,868 COVID-19 cases) were used for PRS analyses. A higher genetic predisposition to psychiatric disorders was associated with an increased risk of any COVID-19 and severe COVID-19. The adjusted odds ratio (OR) for any COVID-19 was 1.07 (95% confidence interval [CI] 1.02-1.13) and 1.06 (95% CI 1.01-1.11) among individuals with a high genetic risk (above the upper tertile of the PRS) for substance misuse and depression, respectively, compared with individuals with a low genetic risk (below the lower tertile). Slightly higher ORs were noted for severe COVID-19, and similar result patterns were obtained in analyses based on publicly available GWAS summary statistics. CONCLUSIONS: Our findings suggest a potential role of genetic factors in the observed phenotypic association between psychiatric disorders and COVID-19. Our data underscore the need for increased medical surveillance for this vulnerable population during the COVID-19 pandemic.

17.
Zhonghua Liu Xing Bing Xue Za Zhi ; 43(8):1230-1236, 2022.
Article in Chinese | PubMed | ID: covidwho-1994238

ABSTRACT

Objective: To investigate the source and the transmission chain of a cold-chain product associated COVID-19 epidemic caused by 2019-nCoV Delta variant in Beijing. Methods: Epidemiological investigation were used to verify the exposure points of the cases. Close contacts were traced from the exposure points, and human and environmental samples were collected for nucleic acid tests. Positive samples were analyzed by gene sequencing. Results: A total of 112 cases of COVID-19 were reported in the epidemic from January 18 to February 6, 2022 in Beijing. Except for 1 case was uncertain, there were epidemiological links among 111 cases. The source of infection was the packages of imported cold-chain products from Southeast Asia, which were harvested and stored in a local cold-storage in January 2021, and packaged and sent to the cold-storage A in A district in June 2021, and then sold in batches in cold-storage B in B district from January 2022. The first case was infected in the handling of positive frozen products, and then 77 cases occurred due to working, eating and living together with the index case in the cold-storage B, cold-storage C and restaurant D. Besides the cold-storage B, C and the restaurant D, there were 16 sub-transmission chains, resulting in additional 35 cases. Conclusion: The epidemic indicated that the risk of 2019-nCoV infection from imported cold-chain products contaminated by package and highlighted the importance to strengthen the management of cold-chain industry in future.

18.
4th International Conference on Frontiers of Biological Sciences and Engineering, FBSE 2021 ; 2511, 2022.
Article in English | Scopus | ID: covidwho-1991752

ABSTRACT

Among the coronaviruses that cause pneumonia, Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and the Middle East Respiratory Syndrome Coronavirus (MERS-CoV) are highly infectious and harmful to human beings, which have attracted wide attention. In this paper, the above two coronaviruses were taken as examples to explore the etiology, infection route and molecular basis of the disease, to provide a reference for the prevention and control of coronavirus-related diseases. © 2022 Author(s).

19.
4th International Conference on Frontiers of Biological Sciences and Engineering, FBSE 2021 ; 2511, 2022.
Article in English | Scopus | ID: covidwho-1991749

ABSTRACT

China is in the critical period of building a moderately prosperous society in an all-round way. It is the period of rapid economic transformation and the decisive battle for deepening the reform. China's development is facing new opportunities and challenges. The risk of foreseeable and unforeseen is increasing. Combined with the new coronavirus, (coronavirus disease 2019 is a new type of pneumonia, also named Covid-19) one of the global biological risk events, this paper analyzes the challenges faced by China in the future in response to biological risk, and discusses how to deal with microbial risk in the future, makes in-depth thinking and puts forward suggestions. © 2022 Author(s).

20.
Chinese Medical Ethics ; 35(6):692-697, 2022.
Article in Chinese | Scopus | ID: covidwho-1988523

ABSTRACT

In the fight against COVID-1 9, under the guidancc of medical professionalism, the majority of medical workers adhered to the scientific spirit of rigorous truth-seeking and innovation, and the humanitarian feelings of boundless love and dedication, and made outstanding contributions to prevention and control. However, the epidemic situation fluctuates repeatedly, the virus mutates frequently, and the risk of major public health emergencies has caused deep thinking on the cultivation of medical students’ professionalism. Medical students are the reserve force for the sustainable development of China’s medical and health undertakings. The times and society endow medical students with a more lofty and arduous historical mission, and also call for strengthening the cultivation of medical students’ professional spirit. Under the background of normalization of epidemic prevention and control, responding to the demands of the times, providing high-quality medical talents for the society, promoting building the doctor-patient desting community, and promoting the reality of the healthy China strategy, efforts to explore the path of cultivating medical students’ professionalism with “three combinations, two considerations and one emphasis”. © 2022, Editorial department of Chinese Medical Ethics. All rights reserved.

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