Disease X Testing: The results of an international external quality assessment exercise

The United Nations Secretary-General Mechanism (UNSGM) for investigation of the alleged use of chemical and biological weapons is the only established international mechanism of this type under the UN. The UNGSM may launch an international investigation, relying on a roster of expert consultants, qualified experts, and analytical laboratories nominated by the member states. Under the framework of the UNSGM, we organized an external quality assurance exercise for nominated laboratories, named the Disease X Test, to improve the ability to discover and identify new pathogens that may cause possible epidemics and to determine their animal origin. The "what-if" scenario was to identify the etiological agent responsible for an outbreak that has tested negative for many known pathogens, including viruses and bacteria. Three microbes were added to the samples, Dabie bandavirus, Mammarenavirus, and Gemella spp., of which the last two have not been taxonomically named or published. The animal samples were from Rattus norvegicus, Marmota himalayana, New Zealand white rabbit, and the tick Haemaphysalis longicornis. Of the 11 international laboratories that participated in this activity, six accurately identified pathogen X as a new Mammarenavirus, and five correctly identified the animal origin as R. norvegicus. These results showed that many laboratories under the UNSGM have the capacity and ability to identify a new virus during a possible international investigation of a suspected biological event. The technical details are discussed in this report.Copyright © 2022

Winter-autumn air pollution control plan in North China modified the PM2.5 compositions and sources in Central China

The additional impact of emission-reduction measures in North China (NC) during autumn and winter on the air quality of downwind regions is an interesting but less addressed topic. The mass concentrations of routine air pollutants, the chemical compositions, and sources of fine particles (PM2.5) for January 2018, 2019, and 2020 at a megacity of Central China were identified, and meteorology-isolated by a machine-learning technique. Their variations were classified according to air mass direction. An unexpectedly sharp increase in emission-related PM2.5 by 22.7% (18.0 mug m-3) and 25.7% (19.4 mug m-3) for air masses from local and NC in 2019 was observed compared to those of 2018. Organic materials exhibited the highest increase in PM2.5 compositions by 6.90 mug m-3 and 6.23 mug m-3 for the air masses from local and NC. PM2.5 source contributions related to emission showed an upsurge from 1.39 mug m-3 (biomass burning) to 24.9 mug m-3 (secondary inorganic aerosol) in 2019 except for industrial processes, while all reduced in 2020. From 2018 to 2020, the emission-related contribution of coal combustion to PM2.5 increased from 10.0% to 19.0% for air masses from the local area. To support the priority natural gas quotas in northern China, additional coal in cities of southern China was consumed, raising related emissions from transportation activities and road dust in urban regions, as well as additional biofuel consumption in suburban or rural regions. All these activities could explain the increased primary PM2.5 and related precursor NO2. This study gave substantial evidence of air pollution control measures impacting the downwind regions and promote the necessity of air pollution joint control across the administration.Copyright © 2023 Elsevier Ltd

Co-exposure to urban particulate matter and aircraft noise adversely impacts the cerebro-pulmonary-cardiovascular axis in mice

Worldwide, up to 8.8 million excess deaths/year have been attributed to air pollution, mainly due to the exposure to fine particulate matter (PM). Traffic-related noise is an additional contributor to global mortality and morbidity. Both health risk factors substantially contribute to cardiovascular, metabolic and neuropsychiatric sequelae. Studies on the combined exposure are rare and urgently needed because of frequent co-occurrence of both risk factors in urban and industrial settings. To study the synergistic effects of PM and noise, we used an exposure system equipped with aerosol generator and loud-speakers, where C57BL/6 mice were acutely exposed for 3d to either ambient PM (NIST particles) and/or noise (aircraft landing and take-off events). The combination of both stressors caused endothelial dysfunction, increased blood pressure, oxidative stress and inflammation. An additive impairment of endothelial function was observed in isolated aortic rings and even more pronounced in cerebral and retinal arterioles. The increase in oxidative stress and inflammation markers together with RNA sequencing data indicate that noise particularly affects the brain and PM particularly affects the lungs. Noise also increased levels of circulating stress hormones adrenaline and noradrenaline, while PM increased levels of circulating cytokines CD68 and MCP-1. The combination of both stressors has additive adverse effects on the cardiovascular system that are based on PM-induced systemic inflammation and noise-triggered stress hormone signaling. We demonstrate an additive upregulation of ACE-2 in the lung, suggesting that there may be an increased vulnerability to COVID-19 infection. The data warrant further mechanistic studies to characterize the propagation of primary target tissue damage (lung, brain) to remote organs such as aorta and heart by combined noise and PM exposure.Copyright © 2023

Study on active compounds from Maxingganshi decoction for treatment of novel coronavirus pneumonia (COVID-19) based on network pharmacology and molecular docking method

Aim To explore the active compound of Maxingganshi decoction in treatment of novel coronavirus pneumonia(COVID-19). Methods With the help of TCMSP database, the chemical components and action targets of ephedra, almond, licorice, and gypsum in Maxingganshi decoction were searched, and then a C-T network, protein interaction analysis, GO functional enrichment analysis, and KEGG pathway enrichment were constructed. Analysis was performed to predict its mechanism of action. Results A total of 120 compounds in Maxingganshi decoction corresponded to 222 targets. PTGS2, ESR1, PPARG, AR, NOS2, NCOA2 acted on PI3K-Akt signaling pathway, TNF signaling pathway, IL-17 signaling pathway, T cell receptor signaling pathways, etc. The results of molecular docking showed that the affinity of quercetin, kaempferol, glabridin and other core compounds was similar to recommended drugs in treatment of COVID-19. Conclusions The active compounds of Maxingganshi decoction can target multiple pathways to achieve the therapeutic effect of COVID-19.Copyright © 2020 Publication Centre of Anhui Medical University. All rights reserved.

Doing good right: building resilience through donations during the pandemic

PurposeWhile researchers recognize the significance of philanthropic donations in disaster relief and recovery, the benefits that firms derive from such donations remain unclear, particularly when firms are adversely impacted by the disaster. To address this gap, this study seeks to elucidate the impact of various donation strategies on firm resilience in the context of the COVID-19 pandemic.Design/methodology/approachBased on the hand-collected data on donations, the authors employ ordinary least squares regressions to investigate the effectiveness of various donation strategies - including type, timing and location - in enhancing firm resilience in terms of the severity of stock price losses during the pandemic. To address potential endogeneity concerns, the authors use a two-stage least squares regression with instrumental variables.FindingsThis study finds robust evidence that certain donation strategies are more effective at mitigating stock price losses during the pandemic. Specifically, the authors find that in-kind donations (compared to monetary ones), earlier donations (compared to later ones) and donations targeting severely impacted areas (Hubei province vs. other places) are more effective methods to reduce the severity of stock price losses.Originality/valueThis study points out an alternative mechanism through which donations influence firm resilience during a crisis context and provides important managerial implications for firms to better engage in disaster donations.

Rigidity in crisis: The impact of OHSAS 18001 certification on production repurposing during COVID-19

It is important for firms to repurpose production responsively during a crisis such as the COVID-19 pandemic, to seize the market opportunity and create social value. However, occupational health and safety (OHS) can also be a concern in a crisis, and adherence to OHS management systems can undermine a firm's responsiveness in repurposing decision making. We adopt the "capability-rigidity" lens to construct a connection between OHS management standards (i.e., OHSAS 18001) and firms' adaptation responsiveness. After sampling 734 listed Chinese manufacturing firms, our match-based analysis reveals that firms certified with OHSAS 18001 were less responsive during COVID-19 in terms of production repurposing than those without the certification. Yet, certain experience, namely, prepandemic manufacturing of related products, experience of the severe acute respiratory syndrome (SARS) epidemic, and being geographically located close to firms that produced medical supplies, could attenuate this effect. We discuss the implications of our findings in the context of and adding to the literature on safety management, certified management standards, and organizational adaptation and learning.

Urban Public Epidemic Prevention and Control Model Based on Nonlinear Differential Equations

This paper proposes a new epidemiological mathematical model based on the dynamics of urban public epidemic prevention and control model. Then, the nonlinear differential equation of epidemic propagation dynamics is deduced. Secondly, this paper uses the exponential equation to fit the curve, takes three days as the optimal window time, and estimates the turning point of the urban public epidemic. Again, this paper establishes a dynamic model of dynamic experience transfer. Finally, this paper uses the COVID19 example to verify the public epidemic prevention and control problems described in the text. Experimental simulations show that the algorithm can better grasp important epidemiological dynamics.

Coronavirus disease 2019 vaccination in cancer patients.

Patients with cancer are at high risk for coronavirus disease 2019 (COVID-19). Institutions for disease control and prevention and cancer-related learned societies in many countries recommend prioritizing cancer patients for COVID-19 vaccines. All the COVID-19 vaccines currently approved for emergency use, including inactivated vaccines, mRNA vaccines, recombinant adenovirus vector-based vaccines, and recombinant protein subunit vaccines, can be applied in cancer patients. Cancer patients with stable disease can be vaccinated against COVID-19 at any time, while patients with advanced-stage cancer or undergoing anticancer therapy should decide on the timing of vaccination according to the specific situation such as treatment methods and cancer type, etc.. The benefits of COVID-19 vaccination in cancer patients may outweigh the risks, but the immune response rate may be lower in cancer patients, especially in patients with haematological malignancies, than in healthy individuals.Copyright © 2021 by the Chinese Medical Association.

What is sustainable tourism in social media? Evidence from tweets

Social media is an essential tool and channel for tourism industry research. It has created significant value for tourism consumption, management, and trends. However, rare scientific achievements uncover sustainable tourism on Twitter, a famous social media worldwide. Therefore, this study aims to conceptualize sustainable tourism from the social media perspective. Based on 2,201 tweets, the study uses Nvivo12.0 to encode content thematically to explore the connotations and concepts of sustainable tourism. The study identified three crucial dimensions: tourism for sustainable development, sustainable tourism management, and sustainable tourism types. Tourism for sustainable development aims to promote the positive effects of sustainable practices in the tourism industry on various areas of life, economy, society, and environment. Moreover, its content serves for the better development in the future. Sustainable tourism management focuses on industries, leaders, experts, programs, and sectors. In addition, the study categorized sustainable tourism by entity, purpose, destination, and mode to determine the type of sustainable tourism. The paper helps to inspire stakeholders in the tourism industry to understand and pay attention to the content in the post-Covid-19 era and also provides recommendations for the tourism market, the tourism sector, and tourism consumers. © The author(s) 2023.

Research progress on the mechanism of multiple organ dysfunction in patients with COVID-19.

The pathogen of COVID-19 is 2019-nCoV, which belongs to the beta coronavirus. Angiotensin-converting enzyme 2 (ACE2) is the receptor of 2019-nCoV as the same of SARS-CoV. Most of the severe patients were the elderly with underlying diseases, which may be related to the decrease in the number of naive T cells. In addition to pulmonary symptoms, COVID-19 can also cause multiple organ dysfunction and even multiple organ failure (liver, nervous system, heart, kidney, etc.). Pathogenic mechanisms such as direct virus invasion, cytokine storm, endothelial cells damage, and down-regulation of ACE2 may play important roles in the severity of the disease.Copyright © 2021 Chinese Medical Association

Research progress on the mechanism of multiple organ dysfunction in patients with COVID-19.

The pathogen of COVID-19 is 2019-nCoV, which belongs to the beta coronavirus. Angiotensin-converting enzyme 2 (ACE2) is the receptor of 2019-nCoV as the same of SARS-CoV. Most of the severe patients were the elderly with underlying diseases, which may be related to the decrease in the number of naive T cells. In addition to pulmonary symptoms, COVID-19 can also cause multiple organ dysfunction and even multiple organ failure (liver, nervous system, heart, kidney, etc.). Pathogenic mechanisms such as direct virus invasion, cytokine storm, endothelial cells damage, and down-regulation of ACE2 may play important roles in the severity of the disease.Copyright © 2021 Chinese Medical Association

Research progress on the mechanism of multiple organ dysfunction in patients with COVID-19.

The pathogen of COVID-19 is 2019-nCoV, which belongs to the beta coronavirus. Angiotensin-converting enzyme 2 (ACE2) is the receptor of 2019-nCoV as the same of SARS-CoV. Most of the severe patients were the elderly with underlying diseases, which may be related to the decrease in the number of naive T cells. In addition to pulmonary symptoms, COVID-19 can also cause multiple organ dysfunction and even multiple organ failure (liver, nervous system, heart, kidney, etc.). Pathogenic mechanisms such as direct virus invasion, cytokine storm, endothelial cells damage, and down-regulation of ACE2 may play important roles in the severity of the disease.Copyright © 2021 Chinese Medical Association

Liver injury caused by antiviral agents for COVID-19.

Antiviral therapy is important for COVID-19. Currently, the anti-2019-nCoV drugs in clinical trials include broad-spectrum antiviral drugs (alpha interferon and ribavirin), hemagglutinin inhibitors (arbidol), human immunodeficiency virus protease inhibitors (lopinavir/ritonavir and darunavir/cobicistat), nucleoside analogues (favipiravir and remdesivir) and antimalarial drug (chloroquine);while liver damage may occur in some patients with the medication. This article reviews the research on liver damage associated with anti-2019-nCoV drugs, aiming at promoting the safe and effective antiviral therapy for COVID-19 patients.Copyright © 2020 by the Chinese Medical Association.

Liver injury caused by antiviral agents for COVID-19.

Antiviral therapy is important for COVID-19. Currently, the anti-2019-nCoV drugs in clinical trials include broad-spectrum antiviral drugs (alpha interferon and ribavirin), hemagglutinin inhibitors (arbidol), human immunodeficiency virus protease inhibitors (lopinavir/ritonavir and darunavir/cobicistat), nucleoside analogues (favipiravir and remdesivir) and antimalarial drug (chloroquine);while liver damage may occur in some patients with the medication. This article reviews the research on liver damage associated with anti-2019-nCoV drugs, aiming at promoting the safe and effective antiviral therapy for COVID-19 patients.Copyright © 2020 by the Chinese Medical Association.

Development of Personnel Epidemic Prevention Monitoring Access Control System

Because of coronavirus variants, it is necessary to pay attention to epidemic prevention measures in the cultivation or product packaging processes. In addition to giving customers more peace of mind when using the products, it also ensures that operators wear masks, work clothes and gloves in the work area. This paper constructs an access control system for personnel epidemic prevention monitoring, which uses IoTtalk [1] to connect IoT devices (such as magnetic reed switches, intelligent switches, RFID readers, and RFID wristbands), utilizes RFID for personnel identification, and employs real-time streaming protocol [2] to take the image of IP Cam for YOLOv4 [3] identification program. The identification program detects whether the personnel is indeed wearing the required equipment. If the personnel is not wearing the required device, the detector will trigger a push broadcast system constructed by LINE Notify to inform the operator for processing. Moreover, we developed an emergency entry mechanism;if an emergency happens, the personnel can trigger the emergency door opening by swiping the card multiple times within a specified time. This function allows the person to enter without wearing the required equipment. © 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

Seasonal variation and ecological risk assessment of Pharmaceuticals and Personal Care Products (PPCPs) in a typical semi-enclosed bay — The Bohai Bay in northern China

The Bohai Bay as a typical semi-enclosed bay in northern China with poor water exchange capacity and significant coastal urbanization, is greatly influenced by land-based inputs and human activities. As a class of pseudo-persistent organic pollutants, the spatial and temporal distribution of Pharmaceuticals and Personal Care Products (PPCPs) is particularly important to the ecological environment, and it will be imperfect to assess the ecological risk of PPCPs for the lack of systematic investigation of their distribution in different season. 14 typical PPCPs were selected to analyze the spatial and temporal distribution in the Bohai Bay by combining online solid-phase extraction (SPE) and HPLC-MS/MS techniques in this study, and their ecological risks to aquatic organisms were assessed by risk quotients (RQs) and concentration addition (CA) model. It was found that PPCPs widely presented in the Bohai Bay with significant differences of spatial and seasonal distribution. The concentrations of ∑PPCPs were higher in autumn than in summer. The distribution of individual pollutants also showed significant seasonal differences. The high values were mainly distributed in estuaries and near-shore outfalls. Mariculture activities in the northern part of the Bohai Bay made a greater contribution to the input of PPCPs. Caffeine, florfenicol, enrofloxacin and norfloxacin were the main pollutants in the Bohai Bay, with detection frequencies exceeding 80 %. The ecological risk of PPCPs to algae was significantly higher than that to invertebrates and fish. CA model indicated that the potential mixture risk of total PPCPs was not negligible, with 34 % and 88 % of stations having mixture risk in summer and autumn, respectively. The temporary stagnation of productive life caused by Covid-19 weakened the input of PPCPs to the Bohai Bay, reducing the cumulative effects of the pollutants. This study was the first full-coverage investigation of PPCPs in the Bohai Bay for different seasons, providing an important basis for the ecological risk assessment and pollution prevention of PPCPs in the bay. © 2022 Elsevier B.V.

Pathogenic infection characteristics and risk factors for bovine respiratory disease complex based on the detection of lung pathogens in dead cattle in northeast China.

Bovine respiratory disease complex (BRDC) involves multiple pathogens, shows diverse lung lesions, and is a major concern in calves. Pathogens from 160 lung samples of dead cattle from 81 cattle farms in northeast China from 2016 to 2021 were collected to characterize the molecular epidemiology and risk factors of BRDC and to assess the major pathogens involved in bovine suppurative or caseous necrotizing pneumonia. The BRDC was diagnosed by autopsy, pathogen isolation, PCR, or reverse transcription-PCR detection, and gene sequencing. More than 18 species of pathogens, including 491 strains of respiratory pathogens, were detected. The positivity rate of bacteria in the 160 lung samples was 31.77%, including Trueperella pyogenes (9.37%), Pasteurella multocida (8.35%), Histophilus somni (4.48%), Mannheimia haemolytica (2.44%), and other bacteria (7.13%). The positivity rate of Mycoplasma spp. was 38.9%, including M. bovis (7.74%), M. dispar (11.61%), M. bovirhinis (7.94%), M. alkalescens (6.11%), M. arginini (0.81%), and undetermined species (4.68%). Six species of viruses were detected with a positivity rate of 29.33%, including bovine herpesvirus-1 (BoHV-1; 13.25%), bovine respiratory syncytial virus (BRSV; 5.50%), bovine viral diarrhea virus (BVDV; 4.89%), bovine parainfluenza virus type-3 (BPIV-3; 4.28%), bovine parainfluenza virus type-5 (1.22%), and bovine coronavirus (2.24%). Mixed infections among bacteria (73.75%), viruses (50%), and M. bovis (23.75%) were the major features of BRDC in these cattle herds. The risk analysis for multi-pathogen co-infection indicated that BoHV-1 and H. somni; BVDV and M. bovis, P. multocida, T. pyogenes, or Mann. haemolytica; BPIV-3 and M. bovis; BRSV and M. bovis, P. multocida, or T. pyogenes; P. multocida and T. pyogenes; and M. bovis and T. pyogenes or H. somni showed co-infection trends. A survey on molecular epidemiology indicated that the occurrence rate of currently prevalent pathogens in BRDC was 46.15% (6/13) for BoHV-1.2b and 53.85% (7/13) for BoHV-1.2c, 53.3% (8/15) for BVDV-1b and 46.7% (7/15) for BVDV-1d, 29.41% (5/17) for BPIV-3a and 70.59% (12/17) for BPIV-3c, 100% (2/2) for BRSV gene subgroup IX, 91.67% (33/36) for P. multocida serotype A, and 8.33% (3/36) for P. multocida serotype D. Our research discovered new subgenotypes for BoHV-1.2c, BRSV gene subgroup IX, and P. multocida serotype D in China's cattle herds. In the BRDC cases, bovine suppurative or caseous necrotizing pneumonia was highly related to BVDV [odds ratio (OR) = 4.18; 95% confidence interval (95% CI): 1.6-10.7], M. bovis (OR = 2.35; 95% CI: 1.1-4.9), H. somni (OR = 8.2; 95% CI: 2.6-25.5) and T. pyogenes (OR = 13.92; 95% CI: 5.8-33.3). The risk factor analysis found that dairy calves <3 mo and beef calves >3 mo (OR = 5.39; 95% CI: 2.7-10.7) were more susceptible to BRDC. Beef cattle were more susceptible to bovine suppurative or caseous necrotizing pneumonia than dairy cattle (OR = 2.32; 95% CI: 1.2-4.4). These epidemiological data and the new pathogen subgenotypes will be helpful in formulating strategies of control and prevention, developing new vaccines, improving clinical differential diagnosis by necropsy, predicting the most likely pathogen, and justifying antimicrobial use.

The effect of customer and supplier concentrations on firm resilience during the COVID-19 pandemic: Resource dependence and power balancing

The COVID-19 pandemic has created significant disruptions in both demand and supply. Our study makes use of such dramatic changes in demand and supply during the pandemic to examine resource dependence and power balancing/unbalancing issues in buyer-supplier relationships. Specifically, we investigate the effect of customer and supplier concentrations on firm resilience during the pandemic. Drawing on resource-dependence theory (RDT), we theorize that shifts in demand and supply in different pandemic stages influence the effect of customer and supplier concentrations on firm resilience by altering the power dynamics between focal firms and their concentrated customers and suppliers. Central to our theorizing is that the worsening power imbalance is more detrimental. Measuring firm resilience by loss and recovery (i.e., change) in productivity, our analysis of 23,440 Chinese listed firms' quarter observations from 2019 to 2020 shows that customer concentration is negatively related to firm resilience in the disruption stage but has no effect in the restoration stage. Supplier concentration is positively related to firm resilience in the disruption stage but undermines firm resilience in the restoration stage. These findings largely confirm our theoretical propositions. We discuss the theoretical and managerial implications.

Vital Measurements of Hospitalized COVID-19 Patients as a Predictor of Long COVID: An EHR-based Cohort Study from the RECOVER Program in N3C

It is shown that various symptoms could remain in the stage of post-acute sequelae of SARS-CoV-2 infection (PASC), otherwise known as Long COVID. A number of COVID patients suffer from heterogeneous symptoms, which severely impact recovery from the pandemic. While scientists are trying to give an unambiguous definition of Long COVID, efforts in prediction of Long COVID could play an important role in understanding the characteristic of this new disease. Vital measurements (e.g. oxygen saturation, heart rate, blood pressure) could reflect body's most basic functions and are measured regularly during hospitalization, so among patients diagnosed COVID positive and hospitalized, we analyze the vital measurements of first7 days since the hospitalization start date to study the pattern of the vital measurements and predict Long COVID with the information from vital measurements. © 2022 IEEE.

Review of effects of COVID-19 pandemic on the textile industry: challenges, material innovation and performance

PurposeThe purpose of this study is to present a systematic review of the effects of COVID-19 on the conventional textile production subsector. The emergence of the COVID-19 virus in 2019 has subsequently caused many problems, such as unemployment, business closures, economic instability and high volatility in the global capital markets amongst others within the wider manufacturing industry including textile production. Design/methodology/approachRelevant secondary data are obtained from the Scopus database and Statista. Based on the data analysis of 21 seed articles, three research themes are identified: challenges in the textile industry, new material innovations or solutions and the textile industry performance. FindingsThe results reveal that the COVID-19 pandemic has affected the textile industry, disrupted the supply chains of this industry, affected profit margins, stopped employment and impacted the retail of products to customers. Aside from the negative repercussions, there are also good sides to the pandemic which, for instance, range from advanced material innovations to textiles with anti-microbial, self-cleaning and anti-bacterial properties that would limit the transfer of the virus. Practical implicationsFindings reinforced the need for effective strategies and investments in the research and development departments of the various firms in the textile industry to innovate operations and novel materials for the next global pandemic. Originality/valueMany companies have adopted novel strategies and practices that are helping them to survive the pandemic. This study, therefore, recommends further investigation into material innovations and reimagining strategies by companies and the supply chain within the textile industry so that it is protected against future crises.