ABSTRACT
Waste masks pose a serious threat to the environment, including marine plastic pollution and soil pollution risks caused by landfills since the outbreak of COVID-19. Currently, numerous effective methods regarding disposal and resource utilization of waste masks have been reported, containing physical, thermochemical, and solvent-based technologies. As for physical technologies, the mechanical properties of the mask-based materials could be enhanced and the conductivity or antibacterial activity was endowed by adding natural fibers or inorganic nanoparticles. Regarding thermochemical technologies, catalytic pyrolysis could yield considerable hydrogen, which is an eco-friendly resource, and would mitigate the energy crisis. Noticeably, the solvent-based technology, as a more convenient and efficient method, was also considered in this paper. In this way, soaking the mask directly in a specific chemical reagent changes the original structure of polypropylene and obtains multi-functional materials. The solvent-based technology is promising in the future with the researches of sustainable and universally applicable reagents. This review could provide guidance for utilizing resources of waste masks and address the issues of plastic pollution.
Subject(s)
COVID-19 , Humans , Masks , Anti-Bacterial Agents , Plastics , SolventsABSTRACT
Background: Severe burn injury can be a life-threatening experience and can also lead to financial issues for suffers. The purpose of the current study was to analyze the direct hospitalization costs of severe burn inpatients in Southwest China. Methods: Data related to all inpatients admitted with severe burns [total body surface area (TBSA) ≥30%] pooled from 2015 to 2021 were reviewed retrospectively at the Institute of Burn Research of Army Medical University. Demographic parameters, medical economics, and clinical data were obtained from medical records. Results: A total of 668 cases were identified. The average age was 37.49 ± 21.00 years, and 72.3% were men. The average TBSA was 51.35 ± 19.49%. The median length of stay of inpatients in the burn intensive care unit was 14 [interquartile range (IQR): 5.0-34.8] days, and the median length of stay (LOS) was 41 (IQR: 22.0-73.8) days. The mortality rate was 1.6%. The median total cost was 212,755.45 CNY (IQR: 83,908.80-551,621.57 CNY) per patient varying from 3,521.30 to 4,822,357.19 CNY. The direct cost of scald burns was dramatically lower compared with that of other types of burns, with 11,213.43 to 2,819,019.14 CNY. Medical consumables presented the largest portion of total costs, with a median cost of 65,942.64 CNY (IQR: 18,771.86-171,197.97 CNY). The crucial risk factors for medical cost in our study were TBSA, surgical frequency, LOS, depth of burn, and outcome. Conclusion: We conclude that an effective burn prevention program, shorter hospital stays, and facilitating the healing of wounds should be focused on with tailored precautionary protocols to reduce the medical costs of inpatients with severe burns.
Subject(s)
Hospitalization , Male , Humans , Adolescent , Young Adult , Adult , Middle Aged , Female , Retrospective Studies , Length of Stay , Costs and Cost Analysis , China/epidemiologyABSTRACT
Easy and effective usage of computational resources is crucial for scientific calculations, both from the perspectives of timeliness and economic efficiency. This work proposes a bi-level optimization framework to optimize the computational sequences. Machine-learning (ML) assisted static load-balancing, and different dynamic load-balancing algorithms can be integrated. Consequently, the computational and scheduling engine of the ParaEngine is developed to invoke optimized quantum chemical (QC) calculations. Illustrated benchmark calculations include high-throughput drug suit, solvent model, P38 protein, and SARS-CoV-2 systems. The results show that the usage rate of given computational resources for high throughput and large-scale fragmentation QC calculations can primarily profit, and faster accomplishing computational tasks can be expected when employing high-performance computing (HPC) clusters.
ABSTRACT
Waste masks pose a serious threat to the environment, including marine plastic pollution and soil pollution risks caused by landfills since the outbreak of COVID-19. Currently, numerous effective methods regarding disposal and resource utilization of waste masks have been reported, containing physical, thermochemical, and solvent-based technologies. As for physical technologies, the mechanical properties of the mask-based materials could be enhanced and the conductivity or antibacterial activity was endowed by adding natural fibers or inorganic nanoparticles. Regarding thermochemical technologies, catalytic pyrolysis could yield considerable hydrogen, which is an eco-friendly resource, and would mitigate the energy crisis. Noticeably, the solvent-based technology, as a more convenient and efficient method, was also considered in this paper. In this way, soaking the mask directly in a specific chemical reagent changes the original structure of polypropylene and obtains multi-functional materials. The solvent-based technology is promising in the future with the researches of sustainable and universally applicable reagents. This review could provide guidance for utilizing resources of waste masks and address the issues of plastic pollution.
ABSTRACT
The history of the establishment of foodborne disease outbreak monitoring system in the United States was introduced and the surveillance data of foodborne disease outbreaks in the United States from 2011 to 2017 were analyzed and compared with that in China. It was found that there were obvious differences in the characteristics of surveillance data of foodborne disease outbreaks between China and the United States in the same period, and microbial pathogenic factors were the main cause of foodborne disease outbreaks. Facing the challenges of global trade integration and post epidemic era of COVID-19,China's foodborne disease outbreak monitoring system should accelerate the use of new technologies to improve the ability of identification and early warning, and foodborne disease outbreak data results should further play the technical support role in the formulation of relevant food safety management measures in China.
ABSTRACT
Supramolecules have been drawing increasing attention recently in addressing healthcare challenges caused by infectious pathogens. We herein report a novel class of guanidinium-perfunctionalized polyhedral oligomeric silsesquioxane (Gua-POSS) supramolecules with highly potent antimicrobial activities. The modular structure of Gua-POSS Tm-Cn consists of an inorganic T10 or T8 core (m = 10 or 8), flexible linear linkers of varying lengths (n = 1 or 3), and peripherally aligned cationic guanidinium groups as the membrane-binding units. Such Gua-POSS supramolecules with spherically arrayed guanidinium cations display high antimicrobial potency against Gram-positive (Staphylococcus aureus) and Gram-negative (Escherichia coli) bacteria, as well as fungus (Candida albicans), with the best showing excellently low minimal inhibitory concentrations (MICs) of 1.7-6.8 µM in media, yet with negligible hemolytic activity and low in vitro cytotoxicity to mammalian cells. More significantly, they can inhibit biofilm formation at around their MICs and near-completely break down preestablished difficult-to-break biofilms at 250 µg mL-1 (â¼50 µM). Their strong antiviral efficacy was also experimentally demonstrated against the enveloped murine hepatitis coronavirus as a surrogate of the SARS-CoV species. Overall, this study provides a new design approach to novel classes of sphere-shaped organic-inorganic hybrid supramolecular materials, especially for potent antimicrobial, anti-biofilm, and antiviral applications.
Subject(s)
Anti-Infective Agents , Coronavirus , Mice , Animals , Guanidine/pharmacology , Plankton , Anti-Infective Agents/pharmacology , Biofilms , Antiviral Agents/pharmacology , Microbial Sensitivity Tests , Anti-Bacterial Agents/pharmacology , Anti-Bacterial Agents/chemistry , MammalsABSTRACT
BACKGROUND: The coronavirus disease 2019 (COVID-19) severely hindered the timely receipt of health care for patients with cancer, especially female patients. Depression and anxiety were more pronounced in female patients than their male counterparts with cancer during treatment wait-time intervals. Herein, investigating the impact of treatment delays on the survival outcomes of female patients with early-stage cancers can enhance the rational and precise clinical decisions of physicians. METHODS: We analyzed five types of cancers in women from the Surveillance, Epidemiology, and End Results (SEER) program between Jan 2010 and Dec 2015. Univariate and multivariate Cox regression analyses were used to determine the impacts of treatment delays on the overall survival (OS) and cancer-specific survival (CSS) of the patients. RESULTS: A total of 241,661 females with early-stage cancer were analyzed (12,617 cases of non-small cell lung cancer (NSCLC), 166,051 cases of infiltrating breast cancer, 31,096 cases of differentiated thyroid cancer, 23,550 cases of colorectal cancer, and 8347 cases of cervical cancer). Worse OS rates were observed in patients with treatment delays ≥ 3 months in stage I NSCLC (adjustedHazard ratio (HR) = 1.11, 95% Confidence Interval (CI): 1.01-1.23, p = 0.044) and stage I infiltrating breast cancer (adjustedHR = 1.23, 95% CI 1.11-1.37, p < 0.001). When the treatment delay intervals were analyzed as continuous variables, similar results were observed in patients with stage I NSCLC (adjustedHR = 1.04, 95% CI 1.01-1.06, p = 0.010) and in those with stage I breast cancer (adjustedHR = 1.03, 95% CI 1.00-1.06, p = 0.029). However, treatment delays did not reduce the OS of patients with differentiated thyroid cancer, cervical cancer, or colorectal cancer in the early-stage. Only intermediate treatment delays impaired the CSS of patients with cervical cancer in stage I (adjustedHR = 1.31, 95% CI 1.02-1.68, p = 0.032). CONCLUSION: After adjusting for confounders, the prolonged time from diagnosis to the initiation of treatment (< 6 months) showed limited negative effects on the survival of most of the patients with early-stage female cancers. Whether our findings serve as evidence supporting the treatment deferral decisions of clinicians for patients with different cancers in resource-limited situations needs further validation.
Subject(s)
Adenocarcinoma , Breast Neoplasms , COVID-19 , Carcinoma, Non-Small-Cell Lung , Colorectal Neoplasms , Lung Neoplasms , Thyroid Neoplasms , Uterine Cervical Neoplasms , Humans , Female , Male , Time-to-TreatmentABSTRACT
In addition to the typical respiratory manifestations, various disorders including involvement of the nerve system have been detected in COVID-19 ranging from 22 to 36%. Although growing records are focusing on neurological aspects of COVID-19, the pathophysiological mechanisms and related therapeutic methods remain obscure. Considering the increased concerns of SARS-CoV-2 potential for more serious neuroinvasion conditions, the present review attempts to focus on the neuroprotective effects of natural compounds as the principle source of therapeutics inhibiting multiple steps of the SARS-CoV-2 infection cycle. The great majority of the natural products with anti-SARS-CoV-2 activity mainly inhibit the attachment, entry and gene expression rather than the replication, assembly, or release. Although microbial-derived natural products comprise 38.5% of the known natural products with neuroprotective effects following viral infection, the neuroprotective potential of the majority of microorganisms is still undiscovered. Among natural products, chrysin, huperzine A, ginsenoside Rg1, pterostilbene, and terrein have shown potent in vitro neuroprotective activity and can be promising for new or repurpose drugs for neurological complications of SARS-CoV-2.
ABSTRACT
Summary Overall survival (OS) is considered the standard clinical endpoint to support effectiveness claims in new drug applications globally, particularly for lethal conditions such as cancer. However, the source and reliability of OS in the setting of clinical trials have seldom been doubted and discussed. This study first raised the common issue that data integrity and reliability are doubtful when we collect OS information or other time-to-event endpoints based solely on simple follow-up records by investigators without supporting material, especially since the 2019 COVID-19 pandemic. Then, two rounds of discussions with 30 Chinese experts were held and 12 potential source scenarios of three methods for obtaining the time of death of participants, including death certificate, death record and follow-up record, were sorted out and analysed. With a comprehensive assessment of the 12 scenarios by legitimacy, data reliability, data acquisition efficiency, difficulty of data acquisition, and coverage of participants, both short-term and long-term recommended sources, overall strategies and detailed measures for improving the integrity and reliability of death date are presented. In the short term, we suggest integrated sources such as public security systems made available to drug inspection centres appropriately as soon as possible to strengthen supervision. Death certificates provided by participants’ family members and detailed standard follow-up records are recommended to investigators as the two channels of mutual compensation, and the acquisition of supporting materials is encouraged as long as it is not prohibited legally. Moreover, we expect that the sharing of electronic medical records and the legal disclosure of death records in established health registries can be realized with the joint efforts of the whole industry in the long-term. The above proposed solutions are mainly based on the context of China and can also provide reference for other countries in the world.
Subject(s)
Betacoronavirus , Blood Grouping and Crossmatching , Blood Safety/methods , Blood Transfusion , Coronavirus Infections/prevention & control , Pandemics/prevention & control , Pasteurization/methods , Pneumonia, Viral/prevention & control , Specimen Handling/methods , COVID-19 , China , Coronavirus Infections/transmission , Disease Outbreaks , Humans , Pneumonia, Viral/transmission , SARS-CoV-2ABSTRACT
Receptor interacting protein kinase 3 (RIPK3) is a vital serine/threonine kinase in regulating the programmed destruction of infected cells to defend against RNA viruses. Although the role of RIPK3 in viruses in mice is well characterized, it remains unclear where in nephropathogenic infectious bronchitis virus (NIBV) in chickens. Here, we use a self-prepared polyclonal antibody to clarify the abundance of RIPK3 in tissues and define the contributions of RIPK3 in tissue damage caused by NIBV infection in chickens. Western blot analyses showed that RIPK3 polyclonal antibody can specifically recognize RIPK3 in the vital tissues of Hy-Line brown chicks and RIPK3 protein is abundantly expressed in the liver and kidney. Moreover, NIBV significantly upregulated the expression levels of RIPK3 in the trachea and kidney of chicks in a time-dependent manner. In addition, the activation of necroptosis in response to NIBV infection was demonstrated by the coimmunoprecipitation (CoIP) experiments through RIPK3 in the necrosome, which phosphorylates its downstream mixed-spectrum kinase structural domain-like protein (MLKL). Our findings offered preliminary insights into the key role of RIPK3 protein in studying the underlying mechanism of organ failure caused by NIBV infection.
Subject(s)
Infectious bronchitis virus , Viruses , Animals , Chickens , Immunoassay , Infectious bronchitis virus/metabolism , Mice , Necroptosis , Receptor-Interacting Protein Serine-Threonine Kinases/genetics , Viruses/metabolismABSTRACT
OBJECTIVES: Concerns about the coronavirus disease 2019 (COVID-19) pandemic resulted in unprecedented challenges to the management of geriatric hip fractures. We aimed to evaluate the effects of the COVID-19 surge on the time to surgery and 1 year mortality in geriatric patients with hip fracture at a large, urban Level 1 trauma center in Beijing, and to guide the management of geriatric hip fracture patients throughout the COVID-19 pandemic. METHODS: This single-center retrospective study included consecutive patients aged ≥65 years and injured 3 weeks prior to admission. Demographic and surgical data were collected between January 20 and May 31, 2020, and from the same period in 2019. Mortality data and functional status were collected at follow-up of 1-year after surgery. The primary outcomes were time to surgery and 1 year mortality. RESULTS: There were no significant differences in sex, fracture type, and surgical pattern between the 2020 (n = 261) and 2019 time-matched (n = 307) cohorts. The time from admission to surgery was significantly delayed in the 2020 cohort compared with that in the 2019 cohort (48.9 h vs 20.5 h, p < 0.001). Fewer patients underwent surgery within 48 h in the 2020 cohort (65.5% vs 87.6%, p < 0.001). Surgical delay was also associated with an increased risk of inpatient complications (30.2% vs 20.8%, p = 0.010), however there was no significant difference in the 1-year mortality rate, nor between pre-injury and 1 year follow-up mobility as assessed by Parker score. Only approximately half of the patients in both groups completely returned to their pre-injury mobility levels. CONCLUSIONS: The COVID-19 pandemic has significantly increased the surgery waiting time for geriatric patients with hip fractures, which resulted in increased inpatient complications without a higher mortality rate within 1 year. This reinforces the importance of maintaining timely and protocolized care for geriatric hip fractures throughout any subsequent waves of the pandemic.
Subject(s)
COVID-19 , Hip Fractures , Aged , Beijing , Humans , Pandemics , Retrospective StudiesABSTRACT
Background/Objective: This study aimed to examine associations of the impact of COVID-19 pandemic on family life with emotional and behavioral health among preschool children. Methods: A longitudinal study including 1595 preschool children aged 3-6 years and their families was conducted in Anhui Province. The linear regression was applied to examine associations between the impact of COVID-19 pandemic on family life and emotional and behavioral health. Results: Results of the multivariable linear regression indicated that the severe impact of COVID-19 pandemic on family life was significantly associated with more sleep problems, poor dietary behavior habits, more anxiety symptoms, and more problematic behaviors; and these effects exhibited gender and age differences. Conclusions: The severe impact of COVID-19 pandemic on family life significantly increased the risk for exacerbated emotional and behavioral health among preschool children. It is considered vital to identify risk factors for vulnerable families and then to implement precise interventions when necessary for emotional and behavioral health of children in these families.
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The coronavirus disease 2019 (COVID-19) pandemic has had strong adverse impacts on vulnerable populations, such as frail older adults. The success of COVID-19 vaccine development, together with extensive global public health efforts, has brought hope to the control of the COVID-19 pandemic. Nevertheless, challenges in COVID-19 vaccine development and vaccination strategies among older people remain. This article reviews vaccinations in older adults, compares COVID-19 vaccine platforms, the efficacy and safety of COVID-19 vaccines in frail older people in long-term care settings, and the challenges of COVID-19 vaccine development and policy making for vaccination strategies in older adults.
Subject(s)
COVID-19 , Vaccines , Aged , COVID-19/epidemiology , COVID-19/prevention & control , COVID-19 Vaccines , Humans , Pandemics/prevention & control , Policy Making , Vaccination , Vaccine DevelopmentABSTRACT
This paper is focused on the design of optimal control strategies for COVID-19 and the model containing susceptible individuals with awareness of protection and susceptible individuals without awareness of protection is established. The goal of this paper is to minimize the number of infected people and susceptible individuals without protection awareness, and to increase the willingness of susceptible individuals to take protection measures. We conduct a qualitative analysis of this mathematical model. Based on the sensitivity analysis, the optimal control method is proposed, namely personal protective measures, vaccination and awareness raising programs. It is found that combining the three methods can minimize the number of infected people. Moreover, the introduction of awareness raising program in society will greatly reduce the existence of susceptible individuals without protection awareness. To evaluate the most cost-effective strategy we performed a cost-effectiveness analysis using the ICER method.
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BACKGROUND: Patient delay of COVID-19 patients occurs frequently, which poses a challenge to the overall epidemic situation. In this study, we aimed to evaluate the extent of patient delay, explore its factors, and investigate the effects of patient interval on epidemic situation. METHODS: A retrospective cohort study was conducted with 136 COVID-19 patients in Tianjin, China. Factors associated with patient delay were explored using logistic regression models. The relationship was investigated by spearman correlation analysis and mean absolute error between patient interval of lagging days and epidemic situation. RESULTS: The factors associated with patient delay of COVID-19 patients were mainly the imported cases, the first presentation to a tertiary hospital, close contacts and spatial accessibility to fever clinic. The longer the patient intervals of lagging days, the greater the number of new-onset and confirmed cases in 3-4 and 5-7 days after the first day symptoms, respectively. CONCLUSION: Identification and quarantine of close contacts, promoting the spatial accessibility to fever clinics and creating public awareness are crucial to shortening patient delays to flat the curve for COVID-19.
Subject(s)
COVID-19 , COVID-19/epidemiology , China/epidemiology , Disease Outbreaks , Fever/epidemiology , Humans , Retrospective Studies , SARS-CoV-2ABSTRACT
INTRODUCTION: The association between influenza vaccination and COVID-19 remains controversial. This meta-analysis aimed to investigate whether influenza vaccination reduces the susceptibility and severity of SARS-CoV-2 infection. METHODS: A systematic literature search of PubMed, Web of Science, the Cochrane Library, Embase, China National Knowledge Infrastructure, SinoMed, Wanfang Data Knowledge Service Platform, and China Science and Technology Journal VIP Database was conducted from database inception to August 2021. The pooled RR with 95% CI was used to estimate the effect of influenza vaccination on COVID-19. The I2 value was used to assess heterogeneity. If I2>50%, the random-effects model was used as the pooling method. RESULTS: A total of 23 published articles with 1,037,445 participants were identified. This meta-analysis showed that influenza vaccination was associated with reduced risk of COVID-19 infection (RR=0.83, 95% CI=0.76, 0.90) and hospitalization (RR=0.71, 95% CI=0.59, 0.84), although not significantly associated with intensive care unit admission and death (risk of intensive care unit admission: RR=0.93, 95% CI=0.64, 1.36; risk of death: RR=0.83, 95% CI=0.68, 1.01). Further analysis suggested that the tetravalent influenza vaccine may be associated with a reduced risk of COVID-19 infection (RR=0.74, 95% CI=0.65, 0.84). DISCUSSION: The results suggest that influenza vaccination is associated with reduced susceptibility to or disease severity of COVID-19 and that influenza vaccination may reduce the risk of COVID-19 and improve clinical outcomes.
Subject(s)
COVID-19 , Influenza Vaccines , Influenza, Human , COVID-19/epidemiology , COVID-19/prevention & control , Humans , Influenza, Human/epidemiology , Influenza, Human/prevention & control , SARS-CoV-2 , VaccinationABSTRACT
Introduction: Current evidence shows that coronavirus disease 2019 (COVID-19) is neither a food safety issue nor a foodborne disease. However, the outbreaks of this disease in workers of meat- or poultry-processing plants and food markets have been reported in many countries. Systematic reports on severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) contamination in food-related samples worldwide are lacking so far. This study aimed to survey and monitor SARS-CoV-2 contamination in samples of foods or their packaging, storage environment, and employees, as well as explore the possible potential for virus transmission via frozen foods. Methods: Swabs of frozen food-related samples were collected between July 2020 and July 2021 in 31 provincial-level administrative divisions (PLADs) and Xinjiang Construction Corps in China. The SARS-CoV-2 RNAs were extracted and analyzed by real-time quantitative polymerase chain reaction using the commercially available SARS-CoV-2 nucleic acid test kit. Results: More than 55.83 million samples were analyzed, and 1,455 (0.26 per 10,000) were found to be positive for SARS-CoV-2 nucleic acid. Among the virus-positive samples, 96.41% (1,398/1,450) and 3.59% (52/1,450) were food/food packaging materials and environment, respectively. As for 1,398 SARS-CoV-2-positive food and food packaging materials, 99.50%, (1,391/1,398) were imported and 7 were domestic. The outer packaging of food was frequently contaminated by the virus 78.75% ( 1,101/1,398). Conclusions: Our study supported speculation that cold-chain foods might act as the SARS-CoV-2 carrier, and food handlers/operators were at high risk of exposure to the virus. It is necessary to carry out a comprehensive mass testing for SARS-CoV-2 nuclei acid, along with contact tracing and symptom screening in cold-chain food handlers and processors so as to identify high proportions of asymptomatic or pre-symptomatic infections. Meanwhile, research and development of effective self-protection equipment available at a temperature below -18 â is urgent.