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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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Objective To explore the effects of endoscopic reprocessing on disinfection and its influential factors under the coronavirus disease 2019 (COVID-19) pandemic. Methods A total of 450 endoscopes cleaned and disinfected according to Technical Specifications for Cleaning and Disinfection of Endoscopes from November 2019 to January 2020, and 450 endoscopes cleaned and disinfected according to The recommended procedure for cleaning and disinfection of gastrointestinal endoscopes during COVID-19 epidemic by Chinese Society of Digestive Endoscopology from February to April 2020 in the Second Affiliated Hospital of Chongqing Medical University were enrolled in the control group and observation group respectively by random number method. Both the control group and the observation group contained 200 gastroscopes, 200 enteroscopes and 50 ultrasound endoscopes. ATP fluorescence detection method and pour plate technique were used to evaluate the disinfection effect of endoscopes. Single factor analysis and multiple logistic regression were used to analyze the risk factors for unqualified sterilization after endoscopic reprocessing. Results The disinfection pass rates of gastroscopes, enteroscopes and ultrasound endoscopes in the observation group were not significantly different compared with those of the control group (P>0. 05). The sterilization pass rates and ATP test pass rates of gastroscopes, enteroscopes and ultrasound endoscopes in the observation group were significantly higher than those in the control group (all P<0. 05). Multivariate logistic regression analysis showed that non-strict implementation of endoscopic reprocessing (OR = 7. 96, 95%CI: 4. 55-22. 84, P<0. 001), non-standard operation (OR = 2. 26, 95%CI: 1. 24-5. 63, P<0. 001), insufficient concentration of disinfectant (OR = 5. 43, 95% CI: 2. 52-9. 02, P < 0. 001), insufficient concentration ratio of multi-enzyme solution (OR = 4. 38, 95% CI: 1. 95-8. 61, P < 0. 001), non-timely cleaning (OR= 2. 86, 95%CI: 1. 33-6. 42, P<0. 001), incomplete cleaning (OR = 3. 75, 95%CI: 1. 61-7. 49, P<0. 001) and improper endoscopic preservation (OR= 2. 12, 95%CI: 1. 36-4. 12, P<0. 001) were independent risk factors for unqualified sterilization after endoscopic reprocessing. Conclusion In COVID-19 pandemic, endoscope reprocessing can significantly improve the disinfection effect of endoscopes, worthy of further clinical promotion. The failure to strictly implement the reprocessing procedure is an important factor that may lead to unqualified sterilization.Copyright © 2021 The authors.
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Anomalies of tropospheric columns of ozone (O3), carbon monoxide (CO), acetylene (C2H2), formaldehyde (H2CO), and ethane (C2H6) are quantified during the 2020 stringent COVID-19 world-wide lockdown using multiple ground-based Fourier-transform infrared spectrometers covering urban and remote conditions. We applied an exponential smoothing forecasting approach to the data sets to estimate business-as-usual values for 2020, which are then contrasted with actual observations. The Community Atmosphere Model with chemistry (CAM-chem) is used to simulate the same gases using lockdown-adjusted and business-as-usual emissions. The role of meteorology, or natural variability, is assessed with additional CAM-chem simulations. The tropospheric column of O3 declined between March and May 2020 for most sites with a mean decrease of 9.2% ± 4.7%. Simulations reproduce these anomalies, especially under background conditions where natural variability explains up to 80% of the decline for sites in the Northern Hemisphere. While urban sites show a reduction between 1% and 12% in tropospheric CO, the remote sites do not show a significant change. Overall, CAM-chem simulations capture the magnitude of the anomalies and in many cases natural variability and lockdowns have opposite effects. We further used the long-term record of the Measurements of Pollution in the Troposphere (MOPITT) satellite instrument to capture global anomalies of CO. Reductions of CO vary highly across regions but North America and Europe registered lower values in March 2020.The absence of CO reduction in April and May, concomitant with reductions of anthropogenic emissions, is explained by a negative anomaly in the hydroxyl radical (OH) found with CAM-chem.The implications of these findings are discussed for methane (CH4), which shows a positive lifetime anomaly during the COVID-19 lockdown period. The fossil fuel combustion by-product tracer C2H2 shows a mean drop of 13.6% ± 8.3% in urban Northern Hemisphere sites due to the reduction in emissions and in some sites exacerbated by natural variability. For some sites with anthropogenic influence there is a decrease in C2H6.The simulations capture the anomalies but the main cause may be related to natural variability. H2CO declined during the stringent 2020 lockdown in all urban sites explained by reductions in emissions of precursors. Copyright: © 2023 The Author(s).
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The COVID-19 pandemic and the subsequent lockdown of cities have led to the rapid growth of online food delivery (OFD). Moreover, there are concerns that OFD platforms may impose offers on users in order to continue to increase their market share, leading to numerous environmental issues such as overconsumption and a significant increase in plastic packaging waste. Most studies have focused on the environmental impacts associated with food packaging and have been mostly limited to China. However, less research has been carried out on the overall CO2 emissions of an OFD order including food. In this study, the CO2 emissions of an OFD order were assessed by considering the production, distribution, consumption and disposal of the ingredients, based on lifecycle thinking and existing secondary data, for three representative food groups (Western food, Japanese food and Chinese food) in Japan. This study found that the food production of an OFD order accounts for more than 70% of the CO2 emissions of the entire process, especially food ingredient production. Policy support and initiatives such as OFD platforms being able to serve different quantities of food based on actual consumer demand to avoid food waste, as well as changes in delivery methods, would help reduce the CO2 emissions of OFD. © 2023 by the authors.
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The outbreak of multiple disaster sites during the coronavirus disease 2019 (COVID-19) pandemic has presented challenges due to varying access time intensity, population density, and medical resources at each site. To address these issues, this study focuses on 13 districts and counties in Wuhan, China. The importance of each research area is analyzed using the improved PageRank and TOPSIS algorithms to determine the optimal site selection plan. Additionally, a particle swarm algorithm is used to construct an emergency material dispatching model that targets both distribution and site selection costs to solve the multi-distribution center dispatching problem. The results suggest that constructing 10 distribution centers can satisfy the demand for epidemic prevention and control in Wuhan city while saving costs associated with site selection and material distribution. Compared to the previous optimal solution, the distribution and site selection costs under the optimal solution decreased by 27.9% and 17.82%, respectively. This approach can serve as a basis for dispatching emergency materials during public health emergencies.
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The outbreak of multiple disaster sites during the coronavirus disease 2019 (COVID-19) pandemic has presented challenges due to varying access time intensity, population density, and medical resources at each site. To address these issues, this study focuses on 13 districts and counties in Wuhan, China. The importance of each research area is analyzed using the improved PageRank and TOPSIS algorithms to determine the optimal site selection plan. Additionally, a particle swarm algorithm is used to construct an emergency material dispatching model that targets both distribution and site selection costs to solve the multi-distribution center dispatching problem. The results suggest that constructing 10 distribution centers can satisfy the demand for epidemic prevention and control in Wuhan city while saving costs associated with site selection and material distribution. Compared to the previous optimal solution, the distribution and site selection costs under the optimal solution decreased by 27.9% and 17.82%, respectively. This approach can serve as a basis for dispatching emergency materials during public health emergencies. © 2023 by the authors.
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COVID-19 pandemic affected the entire globe and resulted in millions of deaths. Besides human-to-human respiratory droplets transmission, contact with aerosol-infected surfaces is an important way of transmitting this virus. The virus can be detected on many surfaces for a long time, in aerosols for at least 3 hours, and on plastic surfaces for up to 72 hours. Hence, it is crucial to determine how to disinfect the environment. Several biocidal agents have been used to clean the environment. Apart from biocidal agents, ultraviolet (UV) irradiation had also been used for environmental disinfection. However, there are several UV sources and systems with different wavelengths were used for disinfection and there was a wide range of effectiveness in disinfection with different modules. Thus, it was necessary to comprehensively review the current understanding of UV light used in disinfection to advise regarding UV light for environmental disinfection. Using the keywords COVID-19, UV light, and disinfection from 2020 to 2022, we searched various databases for articles online. We found various devices that had been studied for disinfection of SARS-CoV-2 with UV, such as monochromatic UV-C lamps, UV-LED light, broad- spectrum UV light devices, and excimer lamps. As a monochromatic UV source, different types of lamps were reported to have an excellent effect on disinfection, with the most common wavelength used for disinfection being 254 nm. As a broad-spectrum wavelength light, which is from 200 to 280 nm, one- minute exposure is enough to cause a 3 log10 reduction of viral load, which means 99.97% in disinfection. UV light are effective in coronavirus disinfection. Compared with the chemical agent, it is more environmentally friendly. To apply the UV light to environmental disinfection, five minutes is enough to reach 99.99% disinfection of the SARS-CoV-2 virus, for broad-spectrum wavelength light placed within one meter from the target surface. [ FROM AUTHOR] Copyright of International Journal of Infectious Diseases is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full . (Copyright applies to all s.)
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Due to the COVID-19 pandemic in Taiwan, many construction sites must limit the number of people on the jobsite or conduct work independently to avoid the spread of COVID-19. The quality of construction may be in doubt with unclear job handover, especially when workers have COVID-19 infection that should be isolated immediately. On top of that, first-level subcontractor self-inspections are crucial parts of construction process management, and neglecting inspec-tion processes can lead to construction errors and poor quality. To improve current quality inspection methods for private projects, a literature analysis was conducted to identify construction quality management issues that are faced in private housing projects. In-depth interviews with small and medium-sized subcontractors of private housing projects were per-formed to understand the quality management methods that they use in practice. Next, improvement measures for quality management were formulated and a simplified checklist for private project subcontractors, based on the practical feedback obtained, was created. Finally, the AppSheet platform was used to develop an inspection application for construction, and a subcontractor was invited to confirm its feasibility. The paperless design avoids redundant human contact, and the re-sults of this study greatly facilitate construction practice, particularly during the pandemic. The main contribution of this study is its investigation of the procedures that are used by private project subcontractors to inspect their work for quality management;its results can serve as a reference for academics in evaluating construction quality management levels and improving the management of work by subcontractors to promote safety and health.
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[Background] The coronavirus disease 2019 (COVID-19) was first detected in December 2019. To combat the disease, a series of strict measures were adopted across the country, which led of improved air quality. This provides an opportunity to discuss the impact of human activities on air quality. [Objective] This study investigates the air quality changes in Shijiazhuang, and analyzes the impacts of epidemic prevention and control measures on air quality, so as to provide reference and ideas for further improving air quality and prevention and control measures. [Methods] The air quality data were collected online from https://www.zq12369.com/ and https://aqicn.org/city/shijiazhuang/cn/. Comparisons in air quality index (AQI) and the concentrations of air pollutants (PM2.5, PM10, SO2, CO, NO2, and O3) were made between the period from December 2019 to June 2020 (reference) and the same period from 2016 to 2019 by t-test and chi-square test. [Results] The daily average AQI dropped by 25.38% in Shijiazhuang during the COVID-19 prevention and control compared with the some period from 2016 to 2019 (t=6.28, P < 0.05). The proportions of pollution days during the COVID-19 outbreak in Shijiazhuang were PM2.5 (44.56%), O3 (31.09%), PM10 (23.83%), and NO2 (2.59%) successively, the pollution days of PM10 decreased significantly (chi2=3.86, P < 0.05) compared with 2016-2019, but during traffic lockdown the numbers of pollution days of PM2.5 and in the mid stage of prevention the number of pollution days of O3 increased (P < 0.05). Compared with the control period, the concentrations of the six air pollutants decreased to varying degrees (P < 0.05), especially SO2 dropped by 55.36%. [Conclusion] The measures taken for COVID-19 control and prevention have reduced the pollution sources and emissions, which resulted in better general air quality of Shijiazhuang City, but have aggravated the pollution of O3 and other pollutants. It is necessary to further explore the causes for the aggravation of O3 pollution in order to formulate reasonable air quality control strategies.Copyright © 2021, Shanghai Municipal Center for Disease Control and Prevention. All rights reserved.
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Background: Hepatocellular carcinoma (HCC) is the second leading cause of malignancy-related mortality and the fifth most common worldwide. Immuno-cancer microenvironment (ICME) was highlighted recently because scientists want to unlock the detailed mechanism in carcinogenesis pathway and find the novel interactions in ICME. Besides, single cell analysis could mitigate the interrupted signals between cells and tissues. On the other hand, COVID-19 angiotensin I converting enzyme (ACE) previously was reported associated with cancer. However, the robust association between COVID-19 and HCC ICME is still unaddressed. Aim(s): We plan to investigate the COVID-19 ACE relevant genes to HCC ICME regarding survival. Method(s): We used Reactome for COVID-19 ACE gene pathway mapping and explored the positive relevant gene expression. DISCO website was applied for single cell analyses using the above-collected genes from Reactome. Finally, we implanted the biomedical informatics into TIMER 2.0 for ICME survival analyses. Result(s): In Fig. 1, the gene-gene interaction mapping was shown. We collected 13 genes (CPB2, ACE2, AGT, MME, ANPEP, CPA3, ENPEP, GZMH, CTSZ, CTSD, CES1, ATP6AP2, and AOPEP) for further single cell relevant analyses, in Table 1, with detailed expression level (TPM). Among the above 13 genes, AGT, GZMH, CTSZ, CTSD, CES1, and ATP6AP2 were strongly expressed in liver tissue. We then applied the initial 13 genes to TIMER 2.0 for HCC ICME 2-year survival analyses. CPA3 and GZMH low expressions with high macrophage infiltration in HCC ICME showed significantly worse 2-year cumulative survival [hazard ratio (HR):CPA3 2.21, p-value 0.018;GZMH 2.07, p-value 0.0341]. ACE2, CPB2, AGT, MME, ANPEP, ENPEP, CTSZ, CTSD, CES1, and ATP6AP2 high expressions with high macrophage infiltration in HCC ICME revealed significantly worse 2-year cumulative survival. Conclusion(s): We demonstrate that ACE2 was strongly associated with HCC clinical survival with macrophage infiltration. However, the bidirectional translational roles about ACE2 relevant genes in HCC should be documented.
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The past two years have witnessed the increasing prevalence of metaverse, while the COVID-19 pandemic has accelerated the formation of a non-contact culture. Under this circumstance, virtual reality once again attracts the public attention. Panorama video, as one of the most important forms of virtual reality, provides users with excellent immersion experience. This paper has proposed a fusion framework for Ultra HD panorama videos and green screen videos. In this framework, panorama videos are set as the virtual background layer on which the user-defined real foreground layer of portrait obtained by green screen matting is superimposed. During video fusion process, the portrait size is adaptively determined by parameters provided by a person detection algorithm running on panorama videos. Therefore, a more natural video synthesis result can be achieved, and presented on a head-mounted display or a flat screen device to provide an indistinguishable visual experience to the users. © 2022 IEEE.
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Purpose: As university faculty faced new challenges, such as rapid digital social and the coronavirus disease 2019 (COVID-19) response, this study aimed to identify the daily changes in the interaction between the faculty and the organizational environment (colleague, policy and new issue) by exploring their recent dynamic educational efforts and the professional development. Design/methodology/approach: This is a study wherein perceptions of 20 faculty from 15 universities and colleges were collected through in-depth online interviews. The authors analyzed interview data by arranging and visualizing the analyzed data using network clustering. Further, they applied the Latent Dirichlet allocation of the topic modeling to monitor the appropriate number of clusters, ultimately determined as four clusters using partial clustering. Findings: The results showed that university faculty spontaneously tried to solve the problems through informal learning while the commitment to peer learning was deepening, reflecting the collectivist orientation nature of Chinese culture. Besides, the faculty also required support to reflect on their daily efforts for professional development. These results about their various learning routines prove the justification for the faculty's professional development to be discussed from the "learning by doing” perspective of lifelong learning. Originality/value: This study proved the significance of informal learning for university faculty's professional development and the reasonable value of peer learning, and provided insights into how the Chinese context may influence university faculty's informal learning experience. © 2023, Emerald Publishing Limited.
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Objective:To observe the efficacy and safety of Fuzheng Huayu tabletsFHTfor treating pulmonary inflammation in patients with coronavirus disease 2019COVID-19. Method(s):A total of 704 cases were lost to follow-up, and 66 cases were finally completedCOVID-19 patients were recruited from February 1 to April 15 in 2020. They were assigned to a control group35 patientsand a FHT group31 patients. The patients in the control group received routine treatment alone and those in the FHT group received FHT in addition to routine treatment. The primary outcome was the ratio of patients showing improvement in chest computed tomographic manifestations after 14 days. The secondary outcome measures included remission rate or progression rate of critical illness,clinical remission rate of respiratory symptoms,routine blood examination, C-reactive proteinCPRlevel,procalcitoninPCTlevel,and blood oxygen saturationSPO2 . The safety was assessed based on liver and kidney functions and adverse events. Result(s): After the 14-day treatment,the ratio of patients showing improvement in the FHT group100%was higher than that in the control group 77.1%chi2 =8.063,P<0.01. The ratio of disease stages after treatment showed no significant difference between two groups. In the FHT group,the symptoms including cough,dyspnea,and fatigue were alleviated after treatmentP<0.01. In the control group,the symptoms including fever,cough,and dyspnea were alleviatedP<0.01,while the fatigue was not relieved after treatment. No significant difference was observed in the clinical symptoms between the two groups after treatment. After treatment,the FHT group showed decreased white blood cellWBCcount and neutrophil-to-lymphocyte ratioNLRP<0.01,elevated plateletPLTlevelP<0.05,lowered CRP levelP<0.05,and no significant difference in lymphocyte LYM,hemoglobinHb,SPO2 or PCT level. The control group showed decreased NLRP<0.05and WBC countP<0.01,elevated PCT levelP<0.05,and no significant change in LYM,Hb,PLT,SPO2 or CRP level after treatment. Furthermore,the FHT group had higher PLT level than the control groupP<0.05after treatment,and other indicators had no significant differences between the two groups. The liver and kidney functions had no significant difference between the two groups after treatment. Conclusion(s): FHT can safely promote the absorption of acute pulmonary inflammation in COVID-19 patients.Copyright © 2022, China Academy of Chinese Medical Sciences Institute of Chinese Materia Medica. All rights reserved.
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Considering the millions of COVID-19 patients worldwide, a global critical challenge of low-cost and efficient anti-COVID-19 drug production has emerged. Favipiravir is one of the potential anti-COVID-19 drugs, but its original synthetic route with 7 harsh steps gives a low product yield (0.8%) and has a high cost ($68 per g). Herein, we demonstrated a low-cost and efficient synthesis route for favipiravir designed using improved retrosynthesis software, which involves only 3 steps under safe and near-ambient air conditions. A yield of 32% and cost of $1.54 per g were achieved by this synthetic route. We also used the same strategy to optimize the synthesis of sabizabulin. We anticipate that these synthetic routes will contribute to the prevention and treatment of COVID-19.
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COVID-19 opened a window of opportunity to change the green development of the hospitality industry. For many years, Chinese tourists have been the world's largest source of outbound tourists. Therefore, this study attempted to improve built-environment strategies for green rooms at B&Bs using the empirical statistics of Chinese tourists after the end of COVID-19 control measures and different green B&B standards, combining IPA (importance-performance analysis). For the lack of a green built-environment study from a tourism perspective, this study can be used mainly for improving the green satisfaction of urban B&Bs as it attempted to fill the gaps in research on green B&B rooms. This study will significantly help improve the quality of green rooms for the B&B industry in the future, and it also provides an improved green B&B room sample for other countries and regions. Moreover, it is an optimistic attempt at hospitality and tourism recovery. © 2023 by the authors.
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Coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). This virus is highly contagious and spreads rapidly, posing a serious threat to the health and safety of people around the world. Proteomics technology has the characteristics of high throughput and high sensitivity, and plays an important role in biomarker discovery, molecular mechanism research, and therapeutic target research. Proteomics technology has been widely used in the research of COVID-19. Herein, this study provides a comprehensive review of the research progress of COVID-19 based on proteomics techniques. In section 1, the genome structure of SARS-CoV-2 and the process of SARS-CoV-2 infecting host cells were summarized. In section 2, the currently commonly used mass spectrometry (MS)-based proteomics techniques including liquid chromatography (LC)-MS and matrix-assisted laser desorption/ionization time-of-flight (MALDI-TOF) MS were reviewed. In section 3, the application progress in the research of precise diagnosis, molecular mechanism and drug therapy targets of COVID-19 based proteomics technology was highlighted. Proteomics have been employed in biomedical research to uncover biomarkers associated with COVID-19, it also provides a comprehensive snapshot of virus-induced changes to the host following infection, invasion, persistence, and pathogenesis and can prime the identification of novel therapeutic targets for preventing or lessening disease severity. In section 4, the future development direction of proteomics was prospected. It's hoped that this review can help to promote the development of proteomics technology in the precise diagnosis and treatment of diseases. © 2022 Institute of Biophysics,Chinese Academy of Sciences. All rights reserved.
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Objective Many mutant strains of SARS-CoV-2 have stronger infectivity and immune escape ability. The situation of epidemic evaluation, prevention and control is serious. The aim of the present paper is to track and predict the infectious transmission of COVID-19 through a theoretical model. Methods Based on the grid epidemic model, this paper discussed the relationship between the duration of infection and the effect of group immunity, and on this basis, established the theoretical model of infection transmission of COVID-19. The infectivity parameter A and the immune effect parameter B are introduced to predict the daily variation curve of infection. The parameter (Equation presented)can be used to quantitatively compare the comprehensive infectivity of each mutant, and we also test the conjecture that the infection parameters A and B are not related to regional factors. Results Through the theoretical model of infection transmission of COVID-19, the infectious time was accurately predicted. By analyzing the infectivity and electrical changes of mutant strains, the internal relationship between the infectivity of mutant strains and the electrical changes of mutant residues was pointed out. The parameter changes of mutants were analyzed, and the comprehensive infectivity of each mutant was quantitatively compared. We also verified the conjecture that parameters A and B are only related to the nature of the virus itself and the coexistence of the virus and the human body, but not related to the region where the disease occurs and evaluated and compared the epidemic prevention level of each outbreak region. Conclusion This paper established a theoretical model of infection transmission of COVID-19, which can predict the duration of the epidemic, the number of new infections per day, and evaluate the infectivity of the virus, immune escape ability, comprehensive infectivity, and regional epidemic prevention level. It can also give some suggestions on epidemic prevention countermeasures according to the possible parameter changes caused by virus variation. © 2022 Institute of Biophysics,Chinese Academy of Sciences. All rights reserved.
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Background: Following the pandemic caused by the Severe Acute Respiratory Syndrome Coronavirus-2 (SARS-CoV-2), and considering its capacity for rapid mutation, there have been many studies and articles on this novel coronavirus over the past three years. Therefore, providing knowledge and directions for management of SARS-CoV-2, for hospital staff is crucial. Hence, we collected the research information from different perspectives and summarized the guidelines for perinatal care on the topic of SARS-CoV-2, and for possible future viral pandemics. Method(s): A systematic review aimed at assessing the publications written in English and Chinese, offering different perspectives on the topic of perinatal care concerning SARS-CoV-2, was conducted using PubMed and Google Scholar from 2020 to 2022. In addition, we summarized the guidelines from the Taiwan Association of Obstetrics and Gynecology, American College of Obstetricians and Gynecologists, Society for Maternal-Fetal Medicine, Maternal Immunization Task Force and Partners, and Academy of Breastfeeding Medicine. Result(s): Due to physiological changes, pregnant patients may be prone to have complications, especially pre-eclampsia, affecting morbidity and mortality. Most neonates of coronavirus disease (COVID-19) infected mothers did not show any clinical abnormalities due to the infection. However, compared to the general population, infected neonates needed more invasive ventilation care, while the proportion of asymptomatic neonates was less than that in the general population. Further, long term complications are still under investigation. Evidence of vertical transmission via the placenta and umbilical cord is rare but not absent. Paxlovid (nirmatrelvir/ritonavir) can be administered to patients with comorbidities, and indications for cesarean delivery does not include COVID-19 infection. Vaccination against COVID-19 should not be delayed during pregnancy and lactation. Conclusion(s): Obstetricians and gynecologists should pay more attention to pregnant women with SARS-CoV-2 because of the physiological changes and higher risks of complications, morbidity, and mortality. Early prevention with vaccination in pregnant women is the key to controlling the COVID-19 pandemic, from which we can learn how to manage the next pandemic.Copyright © 2023 The Author(s).