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Objective: To analyze the clinical manifestations, diagnostic methods and treatment process of the patients with non-Hodgkin's lymphoma complicated with human coronavirus(HCoV)-HKU1 pneumonia and improve the clinical medical staff's awareness of the disease, and to reduce the occurrence of clinical adverse events. Method(s): The clinical data of a patient with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia with hot flashes and night sweats, dry cough and dry throat as the main clinical features who were hospitalized in the hospital in January 2021 were analyzed, and the relevant literatures were reviewed and the clinical manifestations and diagnosis of HCoV-HKU1 were analyzed. Result(s): The female patient was admitted to the hospital due to diagnosed non-Hodgkin's lymphoma for more than 2 months. The physical examination results showed Karnofsky score was 90 points;there was no palpable enlargement of systemic superfical lymph nodes;mild tenderness in the right lower abdomen, no rebound tenderness, and slightly thicker breath sounds in both lungs were found, and a few moist rales were heard in both lower lungs. The chest CT results showed diffuse exudative foci in both lungs, and the number of white blood cells in the urine analysis was 158 muL-1;next generation sequencing technique(NGS) was used the detect the bronchoalveolar lavage fluid, and HCoV-HKU1 pneumonia was diagnosed. At admission, the patient had symptoms such as dull pain in the right lower abdomen, nighttime cough, and night sweats;antiviral treatment with oseltamivir was ineffective. After treatment with Compound Sulfamethoxazole Tablets and Lianhua Qingwen Granules, the respiratory symptoms of the patient disappeared. The re-examination chest CT results showed the exudation was absorbed. Conclusion(s): The clinical symptoms of the patients with non-Hodgkin's lymphoma complicated with HCoV-HKU1 pneumonia are non-specific. When the diffuse shadow changes in the lungs are found in clinic, and the new coronavirus nucleic acid test is negative, attention should still be paid to the possibility of other HCoV infections. The NGS can efficiently screen the infectious pathogens, which is beneficial to guide the diagnosis and treatment of pulmonary infectious diseases more accurately.Copyright © 2023 Jilin University Press. All rights reserved.
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Coronavirus disease 2019 (COVID - 19)is an acute viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS - CoV - 2)infection and is mainly transmitted through the respiratory tract. It not only invades the respiratory system of human body, but also damages various organs and systems. Evidence has shown that there may be a causal association between SARS - CoV - 2 and spontaneous splenic rupture. This article recognizes the possibility of SARS - CoV - 2 - associated spontaneous splenic rupture and discusses its pathogenesis and related diagnosis and treatment regimens, so as to avoid missed diagnosis and misdiagnosis in clinical practice.Copyright © 2022 by the Author(s).
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As important combat platforms, large warships have the characteristics of compact internal space and dense personnel. Once infectious diseases occur, they are very easy to spread. Therefore, it is very important to select suitable forecasting models for infectious diseases in this environment. This paper introduces 4 classic dynamics models of infectious diseases, summarizes various kinds of compartmental models and their key characteristics, and discusses several common practical simulation requirements, helping relevant health personnel to cope with the challenges in health and epidemic prevention such as the prevention and control of coronavirus disease 2019.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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Covid-19 has brought about the development of the use of technological applications and initiatives to control the situation. The aim was to effectively monitor and eventually treat patients and facilitate the efforts of medical staff. This paper is the result of research into the possibilities of solving the problems caused by the Covid-19 pandemic by applying selected logistics technologies. The paper provides a new perspective on technologies and discusses possibilities for future research. The goal of the study is based on relevant existing research which examines in detail how five selected technologies can help in the fight against the pandemic. It defines the potential practical application of these technologies in the context of threats to public health. The main findings of this paper concern the application of logistics technologies considering these essential factors. The research characterizes the problems associated with using the proposed technologies, such as costs, time, legislative constraints, safety, and ethics. Proposals for the practical application of logistics technologies in solving pandemic-related problems must accept not only the legal framework but also the socio-ethical dilemmas that these technologies present. © 2023 Vladimír Klapita et al.
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Objectives: Interception therapy requires an individual to take a treatment today to prevent a future medical event. Patients must trade off treatment burdens incurred today against future benefits. We examined the preferences of high-risk lung cancer (LC) individuals for potential interception therapies that reduce the risk of developing lung cancer. Method(s): An online discrete-choice experiment (DCE) was developed for hypothetical LC interception treatments with four attributes: reduction in risk of LC over 3 years, injection site reaction severity, nonfatal serious infection risk, and death from serious infection risk. Respondents chose between two alternative treatments or a no-treatment option. The DCE was analyzed using random-parameters logit, and maximum acceptable risk for an LC risk reduction was calculated. Logit analysis explored characteristics of respondents who always selected no treatment. Result(s): The sample included 803 adults aged 50-80 years with at least a 20 pack-year smoking history. Respondents had an average willingness to accept interception therapy (alternative-specific constant=1.30, 95% CI: 0.91-1.69). Respondents viewed larger reductions in the risk of LC as most important. Respondents were willing to accept increases in risk of nonfatal serious infection up to 15% for a 15% improvement in relative LC risk reduction and increases in risk of death from serious infection up to 1.5% for a 23% improvement in relative LC risk reduction. However, 16% of respondents selected 'no treatment' for all DCE questions. Older respondents, current smokers who have never tried to quit, and those who did not get regular skin exams for cancer and/or COVID-19 vaccine were more likely to opt out of interception therapy. Conclusion(s): Generally, individuals at high risk of LC are willing to consider interception therapy. Study results can support benefit-risk assessments for future systemic LC interception treatments, and the results may have implications for other therapeutic areas.Copyright © 2023
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Herein, refined LaxCa0.89-xSr0.11MnO3 (LCSMO, x = 0.65, 0.68, 0.71 and 0.74) films were prepared through the sol-gel spin-coating. The influence of La3+ content on the structural properties of LCSMO films was investigated by X-ray diffraction and Atomic force microscope, demonstrating that LCSMO films can grow well on SrTiO3 (00l) substrate. Besides, X-ray photoemission spectroscopy verified the double exchange (DE) effect was weakened with La3+ dopant. The La3+ doping and interconnected grains boundaries (GBs) led to the weakening DE effect and GBs scattering, respectively. Due to superior GBs connectivity, the resistivity of LCSMO films was less than 7.1 x 10(-4) Omega.cm at low temperature of 100 K. Importantly, it is an effective control method to keep the temperature (T-k) corresponding to temperature coefficient of resistivity (TCR) at room temperature with Sr2+ content as constant in LCSMO films. At x = 0.71, the peak TCR value was found to be 8.84%/K and corresponding T-k was 283.15 K. These results are beneficial for advanced application of uncooling infrared bolometer.
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Chinese Journal of Microsurgery, based on the premise of doing well in the prevention and control of COVID-19 pandemics, shall keep on driving on the inheritance and innovation, carry forward the spirit of microsurgery, give full play to the advantages of microsurgery technology and improve the level of surgical repair and reconstruction, as well as try new ways for academic communications and give full play to the roles of an academic platform for a professional magazine;Clinical Orthopaedic Microsurgery (internal communication), the internal journal of editorial office, is the "showcase in China" to highlight and disseminate the achievements in microsurgery, focus on the support for the Chinese young microsurgeons who work in the front-line of medical services, provide a platform effectively for the young microsurgeons in China to actively participate in the Sino-English literary exchange, and truly "publish the papers on the land of our motherland".Copyright © 2022 by the authors.
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Objective To investigated the in vitro antiviral activity of chloroquine and hydroxychloroquine sulfate against different variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) (Prototype, Beta, Delta, Omicron) by changing the sequence of drug and virus introduction. Methods Prophylactic treatment: Vero E6 cells were treated with Chloroquine or hydroxychloroquine sulfate (200.00, 150.00, 100.00, 50.00, 16.70, 5.55, 1.85, 0.62, 0.21 micromol.L-1) for 1 h, then the virus was added and incubated for another 2 h. The virus-drug mixture was repalced with fresh medium until the end of the experiment. Post-entry treatment: Vero E6 cells were incubated with virus for 2 h, then the virus was removed and the cells were cultured with drug-containing medium until the end of the experiment. Full-time treatment: Vero E6 cells were pretreated with the drug for 1 h ahead, then virus was added and incubated for another 2 h. The virus-drug mixture was discarded and the cells were cultured with drug-containing medium until the end of the experiment. After 72 h of culture, the cells were observed to see whether they became round and shed to determine the cytopathic situation, and the semi-maximum effect concentration (EC50) and drug selection index (SI) were calculated. Results Both drugs were less effective in preventing SARS-CoV-2. Chloroquine/hydroxychloroquine sulfate showed good antiviral activity under both therapeutic and full-time treatment. EC50 of hydroxychloroquine sulfate was less than chloroquine, SI was greater than chloroquine, antiviral effect of hydroxychloroquine sulfate was better than chloroquine. The antiviral effect of chloroquine (EC50 = 0.904 micromol.L-1) and hydroxychloroquine sulfate (EC50 = 0.143 micromol.L-1) was more significant against Omicron variant than other variants under therapeutic and full-time treatment conditions. Conclusion Chloroquine/hydroxychloroquine sulfate showed good antiviral activity under both therapeutic and full-time treatment, and both drugs were significantly more active against the Omicron variant than the other variants.Copyright © 2023 Authors. All rights reserved.
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OBJECTIVE: To explore potential categories of parental social support for young parents under the coronavirus disease 2019 (COVID-19) epidemic, and to examine correlations of different types of parents' social support with parental burnout. METHOD(S): In April 2020, we conducted an online voluntary survey among young parents across China with scales and a self-designed questionnaire. The latent profile analysis method was used to analyze parents' received social support and perceived social support. The social support categories were taken as independent variables and parental burnout as dependent variables, and multiple regression analysis was carried out to explore the relationship between received social support, perceived social support and parental burnout. Finally, the moderating effect of resilience between social support groups and parental burnout was discussed. RESULT(S): The results of latent profile analysis revealed three potential types of received social support, namely isolate, normal, and multi-support and the proportions of the respondents with the three profiles were 14.1%, 78.0%, and 7.9%. Four potential types of perceived social support, namely, indigent, medium, affluent and divergent and the proportions of the respondents with the four profiles were 13.7%, 29.6%, 25.3%, and 31.3%. Among them, the parents with divergent perceived social support had more perception of social support from the couple, family and relatives, but less perception of social support from net-friend, social organizations and the government. Regression analysis showed that there was no statistically significant correlation between different profiles of received social support and parental burnout, and among the groups of perceived social support, there was a statistically significant correlation between indigent and divergent types of social support and parental burnout. The divergent parents had lower levels of parental burnout compared with indigent (beta=-0.120, P=0.003). Also, resilience moderated the effect of divergent perceived social support and parental burnout. Compared with the parents with low resilience, the parents with high resilience perceived divergent social support with lower parenting burnout. CONCLUSION(S): There are prominent latent types of received social support and perceived social support under epidemic. People with divergent perceived social support (more perceived supports from partner, family and friends) are prone to have a relatively lower risk of parental burnout. Parents with higher resilience will be more sensitive to the support of close acquaintances, and can better resist parental burnout.
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Introduction Since the onset of coronavirus disease 2019 (COVID-19), stay-at-home orders and fear caused by the pandemic have had a significant effect on the timing and outcomes of testicular torsion. However, the evidence was limited since the study results were inconsistent. This study aims to examine the hospitalization rates, timing, and outcomes of testicular torsion in children before and during the pandemic. Materials and Methods Using PubMed, Embase, and Google Scholar databases, we conducted a systematic search and meta-analysis of studies reporting the timing and outcomes of children admitted with testicular torsion before and during the COVID-19 pandemic. Subgroup analyses were conducted to explore possible sources of heterogeneity. Result The outcomes of 899 testicular torsion patients from eight studies were evaluated. Our study found an increased hospitalization rate for patients with testicular torsion (incidence rate ratio = 1.60, 95% confidence interval [CI]: 1.27-2.03;p = 0.001). Despite a significant increase in the duration of symptoms during the COVID-19 pandemic (weighted mean difference = 11.04, 95% CI: 2.75-19.33;p = 0.009), orchiectomy rates did not increase (odds ratio = 1.33, 95% CI: 0.85-2.10;p = 0.147). Conclusion During the COVID-19 pandemic, hospitalization rates for testicular torsion and the duration of symptoms among children increased significantly. Moreover, the rate of orchiectomy did not increase during the pandemic, indicating that pediatric emergency services have remained efficient and have prevented an increase in the number of orchiectomies performed despite pandemic-related closures and delays in transporting patients to medical care.
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As important combat platforms, large warships have the characteristics of compact internal space and dense personnel. Once infectious diseases occur, they are very easy to spread. Therefore, it is very important to select suitable forecasting models for infectious diseases in this environment. This paper introduces 4 classic dynamics models of infectious diseases, summarizes various kinds of compartmental models and their key characteristics, and discusses several common practical simulation requirements, helping relevant health personnel to cope with the challenges in health and epidemic prevention such as the prevention and control of coronavirus disease 2019.Copyright © 2022, Second Military Medical University Press. All rights reserved.
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[Background] The epidemic of coronavirus disease 2019 (COVID-19) seriously affects the psychological status of medical staff who directly face the risk of the disease. [Objective] This study investigates the prevalence and related factors of depression, anxiety, and insomnia among medical staff during the COVID-19 pandemic. [Methods] From February 13 to March 1, 2020, a network questionnaire survey was conducted among 482 medical staff selected by convenience sampling. A self-designed questionnaire was used to investigate the basic demographic information and COVID-19-related questions. The Patient Health Questionnaire-9 (PHQ-9), Generalized Anxiety Disorder-7 (GAD-7), and Insomnia Severity Index (ISI) were used to estimate the prevalence of depression, anxiety, and insomnia among the medical staff. Stepwise multiple linear regression analysis was performed with PHQ-9 score, GAD-7 score, and ISI score as dependent variables. Multivariate logistic regression analysis (forward-conditional method) on depression, anxiety, and insomnia as dependent variables was performed with basic demographic information and COVID-19-related questions as independent variables. [Results] Among the surveyed medical staff, the prevalence rates of depression, anxiety, and insomnia were 14.3%, 11.2%, and 23.2%, respectively. There were no significant differences in the prevalence rates among different age, gender, local risk level, and occupation groups and those aiding Hubei Province or not. The medical staff who directly contacted fever or diagnosed patients had more serious depression (b=1.73, 95%CI: 0.79-2.66) and insomnia (b=2.43, 95%CI: 1.48-3.39) and a higher risk of insomnia (OR=1.89, 95%CI: 1.21-2.96). The medical staff whose current protective measures cannot prevent infection had more serious depression (b=1.72, 95% CI: 0.65-2.80), anxiety (b=1.75, 95% CI: 0.76-2.75), and insomnia (b=1.73, 95% CI: 0.63-2.82), and had a higher risk of depression (OR=1.97, 95% CI: 1.11-3.49), anxiety (OR=3.00, 95%CI: 1.64-5.46), and insomnia (OR=1.79, 95%CI: 1.08-2.96). [Conclusion] During the COVID-19 epidemic, the risks of depression, anxiety, and insomnia among selected medical staff are increased compared with the non-epidemic period. Occupational exposure to high-risk groups and protective measures would significantly affect mental health of medical staff.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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We examine the high-frequency intraday return and volatility transmission between crude oil futures prices and exchange rates during the 2020 Covid-19 pandemic in the context of two markets: the newly established renminbi-denominated Shanghai International Energy Exchange in China and the US-dollar-denominated Brent market in the United Kingdom. By controlling for the influence of the stock markets, our findings reveal significant disparities in return linkages, yet fairly comparable volatility transmission patterns. The International Energy Exchange shows no return linkages with exchange rates except before the shock, while Brent consistently shows return spillovers from crude oil futures prices to exchange rates. In both markets, the volatility spillovers from exchange rates to crude oil futures prices are unidirectional prior to the shock but become bidirectional as a result of the shock. Nevertheless, both the return and volatility spillover patterns in China resemble those in the United Kingdom when utilizing offshore instead of onshore exchange rates. Such similarities in return and volatility spillovers can also be observed during the 2022 Covid-19 shock that emerged in Shanghai. These findings have significant practical implications. © Infopro Digital Limited 2023.
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Coronavirus disease 2019 (COVID-19), as a public health emergency, is a serious threat to human health. Cancer patients have a high risk of being infected with COVID-19. As one of important means of cancer treatment, radiotherapy has become an important alternative to surgery during the epidemic of COVID-19. The radiotherapy department of Peking Union Medical College Hospital ensured the smooth development of radiotherapy work on the setup of prevention and control systems for COVID-19 by establishing admission strategies for cancer patients, disinfection, isolation, daily management measures, scientific exploration, and clinical practice. In this paper, the associated strategies are summarized and analyzed, which can provide experience and reference for radiotherapy treatment under public health emergencies.Copyright © 2021, Peking Union Medical College Hospital. All rights reserved.
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Wearing masks is an easy way to operate and popular measure for preventing epidemics. Although masks can slow down the spread of viruses, their efficacy in gathering environments involving heterogeneous person-to-person contacts remains unknown. Therefore, we aim to investigate the epidemic prevention effect of masks in different real-life gathering environments. This study uses four real interpersonal contact datasets to construct four empirical networks to represent four gathering environments. The transmission of COVID-19 is simulated using the Monte Carlo simulation method. The heterogeneity of individuals can cause mask efficacy in a specific gathering environment to be different from the baseline efficacy in general society. Furthermore, the heterogeneity of gathering environments causes the epidemic prevention effect of masks to differ. Wearing masks can greatly reduce the probability of clustered epidemics and the infection scale in primary schools, high schools, and hospitals. However, the use of masks alone in primary schools and hospitals cannot control outbreaks. In high schools with social distancing between classes and in workplaces where the interpersonal contact is relatively sparse, masks can meet the need for prevention. Given the heterogeneity of individual behavior, if individuals who are more active in terms of interpersonal contact are prioritized for mask-wearing, the epidemic prevention effect of masks can be improved. Finally, asymptomatic infection has varying effects on the prevention effect of masks in different environments. The effect can be weakened or eliminated by increasing the usage rate of masks in high schools and workplaces. However, the effect on primary schools and hospitals cannot be weakened. This study contributes to the accurate evaluation of mask efficacy in various gathering environments to provide scientific guidance for epidemic prevention. © 2022, Higher Education Press.
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With the continuous development of the sensory experience urban tourism, soundscape perception has become of importance. Taking the Qianmen Avenue, a typical historical block in the Central Axis of Beijing Old City as a case study, this paper presents an analysis of the objective soundscape features just after the first climax of the COVID-19 in January 2021. Based on the model of "acoustical parameters - classifications - extraction of the keynote and signal and soundmark - SPL mapping", the case study shows that although the soundscapes of Qianmen Avenue are complex and changeable with a LAeq from 55dB to 90dB, the noisy keynotes are combined with the sales' broadcasting, loudspeakers, tourists and traffic noise;natural sounds are rarely perceived;the warning bells of passing trams are extremely loud and harsh, causing great disturbance to tourists;no clearly identifiable soundmark has been found;and there is no obvious regularity in the spatial distribution in the SPL mapping. Apart from the architectural features and recently painted murals, the soundscape is far away from the "Culture-enriched Beijing” related content that the public perceives it carries. And due to the COVID-19, an epidemic broadcasting is added as a possible signal or soundmark. © ICA 2022.All rights reserved
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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has spread worldwide and threatened human's health. With the passing of time, the epidemiology of coronavirus disease 2019 evolves and the knowledge of SARS-CoV-2 infection accumulates. To further improve the scientific and standardized diagnosis and treatment of maternal SARS-CoV-2 infection in China, the Chinese Society of Perinatal Medicine of Chinese Medical Association commissioned leading experts to develop the Recommendations for the Diagnosis and Treatment of Maternal SARS-CoV-2 Infection under the guidance of the Maternal and Child Health Department of the National Health Commission. This recommendations includes the epidemiology, diagnosis, management, maternal care, medication treatment, care of birth and newborns, and psychological support associated with maternal SARS-CoV-2 infection. It is hoped that the recommendations will effectively help the clinical management of maternal SARS-CoV-2 infection.Copyright © Wolters Kluwer Health, Inc. All rights reserved.
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The COVID-19 pandemic has spurred extensive vaccine research worldwide. One crucial part of vaccine development is the phase III clinical trial that assesses the vaccine for safety and efficacy in the prevention of COVID-19. In this work, we enumerate the first successful implementation of using machine learning models to accelerate phase III vaccine trials, working with the single-dose Johnson & Johnson vaccine to predictively select trial sites with naturally high incidence rates ("hotspots"). We develop DELPHI, a novel, accurate, policy-driven machine learning model that serves as the basis of our predictions. During the second half of 2020, the DELPHI-driven site selection identified hotspots with more than 90% accuracy, shortened trial duration by six to eight weeks (approximately 33%), and reduced enrollment by 15,000 (approximately 25%). In turn, this accelerated time to market enabled Janssen's vaccine to receive its emergency use authorization and realize its public health impact earlier than expected. Several geographies identified by DELPHI have since been the first areas to report variants of concern (e.g., Omicron in South Africa), and thus DELPHI's choice of these areas also produced early data on how the vaccine responds to new threats. Johnson & Johnson has also implemented a similar approach across its business including supporting trial site selection for other vaccine programs, modeling surgical procedure demand for its Medical Device unit, and providing guidance on return-to-work programs for its 130,000 employees. Continued application of this methodology can help shorten clinical development and change the economics of drug development by reducing the level of risk and cost associated with investing in novel therapies. This will allow Johnson & Johnson and others to enable more effective delivery of medicines to patients.
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The spatial spread of COVID-19 during early 2020 in China was primarily driven by outbound travelers leaving the epicenter, Wuhan, Hubei province. Existing studies focus on the influence of aggregated out-bound popula-tion flows originating from Wuhan;however, the impacts of different modes of transportation and the network structure of transportation systems on the early spread of COVID-19 in China are not well understood. Here, we assess the roles of the road, railway, and air transportation networks in driving the spatial spread of COVID-19 in China. We find that the short-range spread within Hubei province was dominated by ground traffic, notably, the railway transportation. In contrast, long-range spread to cities in other provinces was mediated by multiple factors, including a higher risk of case importation associated with air transportation and a larger outbreak size in hub cities located at the center of transportation networks. We further show that, although the dissemination of SARS-CoV-2 across countries and continents is determined by the worldwide air transportation network, the early geographic dispersal of COVID-19 within China is better predicted by the railway traffic. Given the recent emergence of multiple more transmissible variants of SARS-CoV-2, our findings can support a better assessment of the spread risk of those variants and improve future pandemic preparedness and responses.