PLoS One
·
2024
·Vol. 19
·期 12
·e0307239
·
IF 2.9
Qingyu An,Jun Wu,Wen hui Chen
Objectives
Early in the outbreak, to predict the final size of the COVID-19 outbreak in Dalian, Liaoning province, China, the finding can be used to provide a scientific reference for timely adjustment of prevention and control strategies.
Methods
Data from COVID-19 patients were collected from August 26 to September 14 2022. Early in the outbreak, a Susceptible-Exposed-Infectious-Quarantine-Recovered (SEIQR) dynamics model with an epidemic amplifier effect, based on the basic model, was developed to fit the data and predict the final size of the COVID-19 outbreak in Dalian, Liaoning province, China. The mean absolute relative error(MARE), root mean squared error(RMSE) and mean absolute error(MAE) were used to assess the predictive capacity of the model.
Results
From 26 August to 14 September 2022, 1132 confirmed cases and infected asymptomatic cases of COVID-19 (558 males and 574 females) were reported in Dalian. There were two epidemic amplifiers in this outbreak, namely, T Market and H Hotel. The outbreak size predicted by the combined application of the SEIQR model with these two amplifiers is 1168.34 cases, and MARE, RMSE and MAE compared to the actual value from September 1 to 14 is 1.894%, 21.473 and 17.492 respectively According to the fitting results of the basic SEIQR model, if there was no epidemic amplifier in this outbreak, the final outbreak size was 349.96 cases, which means that the T Market and H Hotel increased 822 infections through amplification.
Conclusions
Early in the outbreak, it was effective and reliable to use the SEIQR transmission dynamics model with the amplifier effect to predict the final size of the COVID-19 outbreak in Dalian, Liaoning province, China, and the result can provide a theoretical basis for the early closing of the COVID-19 epidemic amplifier sites. Furthermore, the epidemic amplifier effect added to the model can solve the homogeneous mixing hypothesis problem that does not match the actual spread of infectious diseases but commonly used by researchers in the construction process of the dynamic model.
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高影响因子
Frontiers in Endocrinology
·
2022
·
IF 6.055
Linfeng Li,Baotong Zhou,Haoyang Xu,Hailin Shi,Li Gao,Bo Ge
Since 2019, coronavirus disease 2019 (COVID-19) has swept the world and become a new virus threatening the health of all mankind. The survey found that prostate cancer accounts for one in three male cancer patients infected with COVID-19. This undoubtedly makes prostate cancer patients face a more difficult situation. Prostate cancer is the second most harmful malignant tumor in men because of its insidious onset, easy metastasis, and easy development into castration-resistant prostate cancer even after treatment. Due to its high immunogenicity and a small number of specific infiltrating T cells with tumor-associated antigens in the tissue, it is difficult to obtain a good therapeutic effect with immune checkpoint blocking therapy alone. Therefore, in the current study, we developed a platform carrying Doxorubicin (DOX)-loaded black phosphate nanometer combined with photothermal therapy (PTT) and found this drug combination stimulated the immungentic cell death (ICD) process in PC-3 cells and DC maturation. More importantly, zinc ions have a good immunomodulatory function against infectious diseases, and can improve the killing ability of the nanosystem against prostate cancer cells. The introduction of Aptamer (Apt) enhances the targeting of the entire nanomedicine. We hope that this excellent combination will lead to effective treatment strategies for prostate cancer patients infected with COVID-19.
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PubMed
高影响因子
RENEWABLE ENERGY
·
2022
·
IF 8.634
Chao Yuwen,Bingguo Liu,Qian Rong,Libo Zhang,Shenghui Guo
The continuous spread of COVID-19 has produced a large number of abandoned disposable medical masks (DMMs), which have a greater negative impact on the environment and biosafety. In response to this issue, a method for rapid microwave sulfonation , nitrification and oxidation of DMMs was proposed to convert DMMs with low carbonization efficiency into aromatic carbon with good thermal stability , which not only maintained 51 wt% of initial mass at 1000 °C, but also achieved in situ co-doping of S, N and O. Subsequently, porous carbons derived from DMMs were synthesized by self-activation pyrolysis , which avoided consumption of alkali and metal salts in the traditional activation process . It was further found that low pyrolysis temperature was not enough to produce enough active material H 2 and H 2 O to obtain high specific surface area, while increasing pyrolysis temperature could adjust the specific surface area of as-prepared carbon, ranging from 52 m 2 ·g −1 to as high as 890 m 2 g −1 . Thanks to synergistic effect of S, N, and O co-doping and hierarchical porous structure , the first discharge specific capacity of sample synthesized by self-activated pyrolysis at 900 °C was 1459.8 mAh·g −1 at 0.1 C, and the discharge specific capacity retention at 0.5 C after 400 cycles was 52.3%.
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MOLECULES
·
2024
·Vol. 29
·期 5
·1037
·
IF 4.2
Yujie Zhang,Jingjie Cao,Jiahan Su,Tingting He,Qianru Wang,Feng Wei,Xin Guo,Qibing Mei,Jing Zeng
Bitespiramycin, has been shown to have a therapeutic effect against respiratory tract inflammation, including a potential effect against COVID-19. A current clinical trial in China showed that bitespiramycin was an effective treatment for severe pneumonia and intracranial infection. However, there is lack of an analytical method to elucidate the distribution of bitespiramycin. In this study, a highly sensitive, rapid and reliable UPLC–MS/MS method was developed to comprehensively characterize the bitespiramycin distribution in various bio-samples, which is significantly improved upon the published work. A rapid sample preparation method was developed by usingn-butanol as the solvent to extract bitespiramycin from different bio-samples. The extract was then directly analyzed by UPLC–MS/MS coupled with an alkaline-resistant column after centrifugation which avoids the time-consuming concentration process under nitrogen and redissolution. The method was employed to accurately quantify bitespiramycin and its metabolites in rat plasma, tissues, and human cerebrospinal fluid. Notably, the presence of bitespiramycin and its metabolites was identified for the first time in various rat organs including brain, testis, bladder and prostate as well as in human cerebrospinal fluid. This newly developed approach shows great promise for drug distribution assays including other antibiotics and can help elucidate the ADME of bitespiramycin.
研究领域:
药理学
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分析化学
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临床研究
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药物开发
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BMC PUBLIC HEALTH
·
2021
·Vol. 21
·期 1
·2001
·
IF 3.295
Mao Zijun,Zou Qi,Yao Hong,Wu Jingyi
Background As COVID-19 continues to spread globally, traditional emergency management measures are facing many practical limitations. The application of big data analysis technology provides an opportunity for local governments to conduct the COVID-19 epidemic emergency management more scientifically. The present study, based on emergency management lifecycle theory, includes a comprehensive analysis of the application framework of China’s SARS epidemic emergency management lacked the support of big data technology in 2003. In contrast, this study first proposes a more agile and efficient application framework, supported by big data technology, for the COVID-19 epidemic emergency management and then analyses the differences between the two frameworks. Methods This study takes Hainan Province, China as its case study by using a file content analysis and semistructured interviews to systematically comprehend the strategy and mechanism of Hainan’s application of big data technology in its COVID-19 epidemic emergency management. Results Hainan Province adopted big data technology during the four stages, i.e., migration, preparedness, response, and recovery, of its COVID-19 epidemic emergency management. Hainan Province developed advanced big data management mechanisms and technologies for practical epidemic emergency management, thereby verifying the feasibility and value of the big data technology application framework we propose. Conclusions This study provides empirical evidence for certain aspects of the theory, mechanism, and technology for local governments in different countries and regions to apply, in a precise, agile, and evidence-based manner, big data technology in their formulations of comprehensive COVID-19 epidemic emergency management strategies.
研究领域:
公共卫生
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应急管理体系
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信息科学
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流行病学
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数据驱动决策
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International Journal of Qualitative Methods
·
2020
·
IF 3.576
Katriona O’Sullivan,Amy McGrane,Serena Clark,Kevin Marshall
Background:The COVID-19 pandemic has placed severe restrictions on people’s behavior worldwide with school closures in many countries. These closures have shifted education from the classroom to the home. This change is unprecedented, and home-schooling has placed substantial stress on families across the world. As of 9 April 2020, 1.57 billion children were being educated by families that had little or no experience of protracted home-schooling. An essential but neglected issue related to COVID-19 is the psychological impact of home-schooling on family wellbeing, especially considering the other stressors they are experiencing including social isolation, fears of infection, frustration, boredom, inadequate information, and financial stress. This study explores the impact of home-schooling on family psychological wellbeing during COVID-19. These findings will help develop supports and interventions for this population.Methods:An exploratory qualitative study will be conducted using semi-structured interviews with a convenience sample of families (at least one parent and one child). Participants will be recruited using social media outlets, contacts of academic members and snowball sampling. Interviews will take place using Microsoft Teams and via telephone and recorded for transcription purposes. These transcripts will be analyzed using interpretative phenomenological analysis (IPA). Ethical approval has been granted by the Social Research Ethics Subcommittee (SRESC) Maynooth University (2407411). The Science Foundation Ireland (SFI) has funded the research with the COVID-19 rapid response grant. The dissemination of findings will be through open access journal publications, distribution of lay summaries, press release and policy papers.Discussion:The research findings will discuss the impact that home-schooling has had on family psychological wellbeing. It will examine how parents are managing their children’s education and learning while handling the other stresses associated with COVID-19. A deeper understanding of the impact of school closures and home-schooling on family processes is essential if the psychological wellbeing of families is to be protected and supported during challenging times such as health-related disasters.
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ENERGY & FUELS
·
2022
·
IF 4.654
Guoqing Li,Mengyue Ma,Xuancheng Chen,Jiaqi Zhang,Ye Hong,Yu Huan,Tao Wei
With the prevalence of COVID-19, wearing medical surgical masks has become a requisite measure to protect against the invasion of the virus. Therefore, a huge amount of discarded medical surgical masks will be produced, which will become a potential hazard to pollute the environment and endanger the health of organisms without our awareness. Herein, a green and cost-effective way for the reasonable disposal of waste masks becomes necessary. In this work, we realized the transformation from waste medical surgical masks into high-quality carbon–nickel composite nanowires, which not only benefit the protection of the environment and ecosystem but also contribute to the realization of economic value. The obtained composite carbon-based materials demonstrate 70 S m–1 conductivity, 5.2 nm average pore diameters, 234 m2 g–1 surface areas, and proper graphitization degree. As an anode material for lithium-ion batteries, the prepared carbon composite materials demonstrate a specific capacity of 420 mA h g–1 after 800 cycles at a current density of 0.2 A g–1. It also displays good rate performance and decent cycling stability. Therefore, this study provides an approach to converting the discarded medical surgical masks into high-quality carbon nanowire anode materials to turn waste into treasure.
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高影响因子
ACS Sensors
·
2025
·
IF 9.1
Yu Luo,Bicheng Zhu,Congcong Zhu,Penghui Lai,John Taylor,Claire Honney,Ashley Nutsford,Chaofeng Ma,Hailong Chen,Kean C. Aw,Rui Wu,Erasmus Smit,Peikai Zhang,Jadranka Travas-Sejdic
Herein, a novel and simple electrospray (ES) printing technique was developed for the fabrication of ultrathin graphene layers with precisely controlled nanometer-scale thickness, where graphene oxide (GO) was electrosprayed on wafers and subsequently chemically reduced into reduced GO (rGO). Utilizing that technique, we prepared ultrathin rGO in-plane graphene field-effect transistor (GFET)-based biosensors coupled with a portable prototype measuring system for point-of-care detection of pathogens. We illustrate the use of such prepared GFETs to detect COVID-19, using the SARS-CoV-2 nucleocapsid protein antigen (N-protein) and genomic viral RNA as detection targets. The electrosprayed and chemically reduced rGO films enhance the molecular detection in GFET sensors through significant local gating effects. The device detects the N-protein from the SARS-CoV-2 Omicron variant in a culture medium with an LOD of 1.44 PFU/mL and in clinical oropharyngeal samples with an LOD of 45 genome copies/mL in 5 min. It also successfully detects viral RNA in oropharyngeal swabs within 10 min. The GFET sensor responses were further analyzed using our proprietary wireless, miniaturized, and portable FET analyzer, coupled with a smartphone detecting app. Altogether, we present low-cost and mass-producible GFETs with high-quality graphene channels, enabling a portable, efficient, and accurate solution for point-of-care pathogen detection and in clinical testing. This technology has the potential to become a crucial tool in preventing future global epidemic outbreaks.
研究领域:
生物传感器
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医学诊断
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纳米技术
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病毒学
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高影响因子
JOURNAL OF FOOD AND DRUG ANALYSIS
·
2023
·
IF 3.6
Jingyuan Zeng,Xican Li,Rongxin Cai,Chunhou Li,Shaoman Chen
The study combined UHPLC-Q-Orbitrap-MS analysis with authentic standards, to create a novel strategy for isomers recognition and putative identification. Through the strategy, anti -Covid-19 Jinhua Qinggan Granule was found to comprise 28 isomers and 45 potential anti -Covid-19 constituents. The detection of three constituents (Danshensu, cryptotanshin, and tanshinone IIA) suggests Danshen as confidential additive. Based on this, 6 constituents are recommended as quality-marker candidates, including chlorogenic acid, acteoside, peimisine, baicalein, licoricesaponin H2, and tanshinone IIA. Obviously, the study can not only help the public to really understand the Granule’s formula and chemistry, but also facilitate its Pharmacopoeia collection in future.
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MICROCHIMICA ACTA
·
2022
·Vol. 189
·期 3
·1-9
·
IF 6.408
Wang Shuang,Wang Chen,Xin Yuxiao,Li Qiuyun,Liu Weilu
A novel electrochemical sensor is reported for the detection of the antiviral drug favipiravir based on the core–shell nanocomposite of flower-like molybdenum disulfide (MoS 2 ) nanospheres and molecularly imprinted polymers (MIPs). The MoS 2 @MIP core–shell nanocomposite was prepared via the electrodeposition of a MIP layer on the MoS 2 modified electrode, using o-phenylenediamine as the monomer and favipiravir as the template. The selective binding of target favipiravir at the MoS 2 @MIP core–shell nanocomposite produced a redox signal in a concentration dependent manner, which was used for the quantitative analysis. The preparation process of the MoS 2 @MIP core–shell nanocomposite was optimized. Under the optimal conditions, the sensor exhibited a wide linear response range of 0.01 ~ 100 nM (1.57*10 −6 ~ 1.57*10 −2 μg mL −1 ) and a low detection limit of 0.002 nM (3.14*10 −7 μg mL −1 ). Application of the sensor was demonstrated by detecting favipiravir in a minimum amount of 10 μL biological samples (urine and plasma). Satisfied results in the recovery tests indicated a high potential of favipiravir monitoring in infectious COVID-19 samples. Graphical abstract
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高影响因子
Journal of Environmental Chemical Engineering
·
2021
·
IF 5.909
Xin Li,Yuling Shan,Xiaolei Zhang,Shilei Zhao,Wenlong Yu,Yibin Liu,Hongrui Shang,Peilong Tang,Shusen Wang,Junwei Ding
Both increasing emission of chlorophenol chemicals and plastic waste pollution are severe global environmental challenges, which is worth being explored to respond with a "waste eliminated by waste" coupling treatment strategy. Herein, we propose a one-step recyclable nano-MgO template strategy to prepare in-situ N, O-doped novel porous carbon coral reefs (PCNCR) directly derived from the mixture of real waste PET and melamine formaldehyde resin. The template precursor can be conveniently recycled by facile acetic acid pickling, vacuum evaporation and drying, and the whole preparing process does not involve any toxic solvents, massive consumption of pore-forming agents, or discharge of salty wastewater. The obtained PCNCRs have hierarchical porous structures and abundant N, O-doped species, and the textural parameters can be modulation linearly by varying the mass ratio of magnesium acetate to mixed waste plastics. The optimized PCNCR-1.25 exhibited remarkable adsorption capacity for chlorophenol contaminants (777.5 mg/g for 4-Chloro-3,5-dimethylphenol, PCMX and 538.74 mg/g for 4-Chloro-3-methylphenol, PCMC) in aqueous solution. Adsorption isotherm fitting studies revealed chlorophenol contaminants tended to be rapidly adsorbed on the PCNCR surface in the form of monolayer. And the system reached adsorption equilibrium at about 15 min, which was described by linear driving force model. Reusability test verified that PCNCR-1.25 had excellent adsorption stability for chlorophenol in continuous adsorption-regeneration cycles. DFT calculation illustrated the enhancement of chlorophenol adsorption by heteroatom species, especially nitrogen dopants. This work highlighted a low-cost and sustainable approach to defuse the dual environmental threat of chlorophenol emissions and plastic waste pollution simultaneously.
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PLoS One
·
2022
·Vol. 17
·期 4
·e0267455
·
IF 3.752
Ting Li,Qianqian Ye,Qiuxin Chen
By exploring the China International Fair for Investment and Trade’s development process, this study analyzes its absolute advantages in future development, gradually lost comparative advantages, and potential crises. Through the data envelopment analysis model, the study analyzes its resource allocation efficiency based on two cooperation modes: traditional “Offline” investment mode and “Online + Offline” investment mode. Then we use vector autoregressive model to comprehensively investigate the impact and causality of the two input factors on output. We find that its comprehensive allocation efficiency presents a “U” shape that reflects the characteristics of its three stages: the first stage, 2001–2005; the second stage, 2006–2012; and the third stage, 2013–2020. The main factors affecting resource allocation efficiency are then deduced from the results: exhibition scale utilization, booth design innovation, project strength of participating enterprises, and the signing rate of overseas customers. The number of industrial and commercial groups (X 4 ) and participating countries and regions (X 6 ) have an important impact on the output indicators: signed contract projects (Y 1 ). The empirical results verify that the “Online + Offline” investment mode is an effective and suitable mechanism to solve the problem of cooperation and investment constrained by the COVID-19 pandemic. Based on the results of empirical analysis, this study posits the path and countermeasures of realizing the transformation to “cloud” exhibition in the post-pandemic era. Especially, we should focus on building new mechanisms of business environment that will promote the active participation of national, regional, and international industrial and commercial groups. The purpose is to continuously strengthen the foundation of cooperative trust and innovate a new trust model of online cooperative trading.
研究领域:
国际贸易
·
展会管理
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数字经济
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计量经济学
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会展研究
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高影响因子
危险品化学品经营许可证（带存储）