Iterative Innovation Empowers the Training of High-level Interdisciplinary Medical Talents in the New Era: Experiences from School of Medicine, Zhejiang University

COVID-19 highlights the lack of interdisciplinary medical talents. The international history of medical education shows the urgent need of high-level interdisciplinary medical talents. Anchoring the goal to develop a global center of talents and highland of innovation, this article takes medical education of Zhejiang University as an example, focusing on and exploring the training mode of high-level interdisciplinary medical talents in the new era. It includes: Firstly, optimizing the training mode of eight-year program for medical doctors with non-medical bachelor degree followed with complete education for a medical doctorate that innovates the curriculum system of clinical medicine;secondly, creating the training system of postdoctor of clinical medicine and integrating medical resources that include high-quality talents and health care system, in order to build a high-quality teaching staff with a interdisciplinarity background and innovative bases. It not only strengthens the residents' competency and frontier creativity, but also ensures the sustainable development of interdisciplinary medical talents. The reform of training mode, curriculum system, teaching staff and clinical teaching bases all contribute to the goal of building a country with interdisciplinary talents that serve the frontier of science and technology in the world, the major needs of the country and people's health in the new era.Copyright © 2022, Peking Union Medical College Hospital. All rights reserved.

A Guide to Mental Health in Family Under the COVID-19 Epidemic

This book tells us from a professional perspective how to deal with stress response in the family, effectively address family problems in the epidemic, and handle the infectious emotions. This book is a profound explanation of the new stress, conflicts, and problems arising at home amid the epidemic. It provides people with a psychological self-help scale to effectively distinguish the normal and abnormal states of psychological response. Besides, it also provides professional psychological assistance and suggestions for special groups, including children, the elderly, the quarantined, and the bereaved, in order to help all families actively respond to the epidemic with the power of psychology. © Beijing Normal University Press 2022.

Clinical features and chest CT findings in moderate and severe COVID-19 patients: an analysis of 506 cases from Wuhan Huoshenshan Hospital.

Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients. Method(s): A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases. The clinical features and chest CT findings were retrospectively analyzed. Chi-square test and Fisher's exact probability were used for data analysis. Result(s): The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (chi2=9.377 and 15.085, P<0.01). Compared with the severe patients, the white blood cell counts and lymphocyte counts of moderate patients were statistically significant (chi2=14.816 and 30.097, P<0.01). The protortion of increased CRP in severe patients was higher than that in moderate patients (chi2=21.639, P<0.01). The cure rate and discharge rate of severe patients were significantly lower than those of moderate patients (P<0.01). Compared with the moderate cases of COVID-19, the CT images in severe patients mainly showed lesions of diffuse distribution, mixed density, with maximum diameter>10 cm and involved all five lung lobes (P<0.01). The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (chi2=33.357, 11.114, 14.580, 5.978, 45.731 and 6.623, P<0.05 or <0.01). Conclusion(s): There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification.Copyright © 2020 by the Chinese Medical Association.

Clinical features and chest CT findings in moderate and severe COVID-19 patients: an analysis of 506 cases from Wuhan Huoshenshan Hospital.

Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients. Method(s): A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases. The clinical features and chest CT findings were retrospectively analyzed. Chi-square test and Fisher's exact probability were used for data analysis. Result(s): The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (chi2=9.377 and 15.085, P<0.01). Compared with the severe patients, the white blood cell counts and lymphocyte counts of moderate patients were statistically significant (chi2=14.816 and 30.097, P<0.01). The protortion of increased CRP in severe patients was higher than that in moderate patients (chi2=21.639, P<0.01). The cure rate and discharge rate of severe patients were significantly lower than those of moderate patients (P<0.01). Compared with the moderate cases of COVID-19, the CT images in severe patients mainly showed lesions of diffuse distribution, mixed density, with maximum diameter>10 cm and involved all five lung lobes (P<0.01). The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (chi2=33.357, 11.114, 14.580, 5.978, 45.731 and 6.623, P<0.05 or <0.01). Conclusion(s): There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification.Copyright © 2020 by the Chinese Medical Association.

Clinical features and chest CT findings in moderate and severe COVID-19 patients: an analysis of 506 cases from Wuhan Huoshenshan Hospital.

Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients. Method(s): A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases. The clinical features and chest CT findings were retrospectively analyzed. Chi-square test and Fisher's exact probability were used for data analysis. Result(s): The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (chi2=9.377 and 15.085, P<0.01). Compared with the severe patients, the white blood cell counts and lymphocyte counts of moderate patients were statistically significant (chi2=14.816 and 30.097, P<0.01). The protortion of increased CRP in severe patients was higher than that in moderate patients (chi2=21.639, P<0.01). The cure rate and discharge rate of severe patients were significantly lower than those of moderate patients (P<0.01). Compared with the moderate cases of COVID-19, the CT images in severe patients mainly showed lesions of diffuse distribution, mixed density, with maximum diameter>10 cm and involved all five lung lobes (P<0.01). The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (chi2=33.357, 11.114, 14.580, 5.978, 45.731 and 6.623, P<0.05 or <0.01). Conclusion(s): There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification.Copyright © 2020 by the Chinese Medical Association.

Stress and Well-Being during the COVID-19 Pandemic in China: The Moderating Role of Communication

To examine how and when stress affect individual (i.e., psychological health) and relationship well-being (i.e., marital satisfaction) during the COVID-19 pandemic, the present study used latent profile analysis to identify the typologies of communication and investigated whether the typologies would moderate the associations between stress and individual and relationship well-being in a sample of adults living in China (N = 3,354). Results revealed that (a) stress was negatively associated with psychological health and marital satisfaction during the COVID-19 pandemic and that its effect on psychological health was greater than that on marital satisfaction and (b) four profiles were identified: low communication (10%), moderate communication (43%), positive communication (43%), and contradictory communication (5%). Further, the typologies moderated the effects of stress on psychological health and marital satisfaction, but the patterns of moderation differed in psychological health and marital satisfaction. © 2022 Taylor & Francis Group, LLC.

Recent progress in CRISPR-based microfluidic assays and applications

In the past few years, CRISPR-based (Clustered regularly interspaced short palindromic repeats-based) detection techniques have arisen in the field of bioanalysis, molecular biology and clinical diagnosis. However, there are still some limitations, such as high cost, high technical requirements, complexity, cross contamination, lack of quantification strategies, etc. Microfluidic platforms, as emerging technol-ogies, have the potential to take CRISPR-based technology to the new level in the future. In this review, we illustrate the recent progress as well as our work and collaborative work in CRISPR-based microfluidic detection assays based on the categories of microfluidic chips, including paper-based microfluidics, centrifugal microfluidics, digital microfluidics, electrochemical microfluidics and wearable microfluidics, mainly focusing on how microfluidic platforms improve CRISPR-based detection method in the aspect of visualization, detection throughput, anti-contamination, simple operation, sensitivity, specificity and quantification, etc. And we outlook the future trends of CRISPR-based microfluidic detection methods in both innovation of CRISPR-based and design of microfluidic platforms. (c) 2022 Elsevier B.V. All rights reserved.

A Cross-platform Errand Service Application for Campus with a Dual-user Identity Model

With the development of the food delivery industry and the impact of the global Covid-19 pandemic in recent years, the demand for errand service platform has been progressively growing. However, due to crowd control policies during epidemics in China, off-campus personnel are unable to enter the campus, resulting in the current public errand service application invalid in campus. In this circumstance, students who need the errand service can only post the errand requests in chatting groups or use the mini-programs embedded in WeChat. Both approaches, however, have significant flaws. Therefore, a specific errand service application for campus is desired. In this paper, an errand services application named AoAoRun is developed for university students and faculties on campus using a dual-user identity model, making it possible for both students and faculties to become the service provider and the service recipients. It integrates and organizes the needs of errand services, providing a safe and user-friendly platform. In addition, unlike current errand service platforms, this application uses blockchain technology for data backup and credit scores system. This credit system gives higher priority to orders posted by users with higher credit scores. Finally, 53 volunteers participate in the user testing of the application. The test results show that AoAoRun greatly improves the utilization of resources and increases the efficiency of students' study and life. © 2022 IEEE.

Longitudinal Extensive Transverse Myelitis:rare immunotherapy related adverse effect vs COVID19-related immunization complication

Objective: To report an acute presentation of long extensive transverse myelitis (LETM) in the setting of Atezolizumab monotherapy and COVID-19 mRNA immunization Background: Patients being treated with immune checkpoint inhibitors (ICI) for advanced malignancy have an increased propensity of developing neuro-immune complications. With the advent of the COVID-19 pandemic there have been reported cases of TM following COVID-19 immunization. The reported infrequency of TM with both aforementioned causes makes delineating the etiology challenging. Design/Methods: A 58-year-old male with metastatic SCLC completed 4 cycles of Atezolizumab, Carboplatin and Etoposide and was transitioned to Atezolizumab maintenance. He previously underwent Atezolizumab infusion and was administered the second dose of COVID-19 mRNA vaccine one day prior to developing acute lower extremity paralysis, sensory loss from chest down and overflow incontinence. MRI spine illustrated centromedullary enhancing lesions from C7-T7. CSF analysis showed 25 WBC, 116/uL RBC, 94 mg/dL protein, normal glucose, negative oligoclonal bands and normal IgG index. CSF bacterial and virology studies were negative. Additionally, serum anti-myelin oligodendrocyte glycoprotein (MOG) and antiaquaporin receptor 4 (AQP4) antibodies were unremarkable. Results: 5-day course of pulsed methylprednisolone followed by three therapeutic plasma exchanges produced minimal improvement in lower extremities strength and sensory level. Conclusions: This case demonstrates the complication and symptomatology of TM in the setting of anti-PD-L1 monoclonal antibody with the co-incidental COVID-19 mRNA vaccine administration. The causal relationship between the vaccine and TM is difficult to establish due to limited data and the presence of a known inciting factor but hints at a possible exaggeration of the existing neuroinflammatory process. Currently, CDC recommends that individuals who are moderately to severely immunocompromised receive an additional dose of an mRNA COVID-19 Vaccine (Pfizer-BioNTech or Moderna) at least 28 days after the completion of the initial mRNA COVID-19 vaccine series. Caution should be given for those patients who are on ICI therapy.

Iterative Innovation Empowers the Training of High-level Interdisciplinary Medical Talents in the New Era: Experiences from School of Medicine, Zhejiang University

COVID-19 highlights the lack of interdisciplinary medical talents. The international history of medical education shows the urgent need of high-level interdisciplinary medical talents. Anchoring the goal to develop a global center of talents and highland of innovation, this article takes medical education of Zhejiang University as an example, focusing on and exploring the training mode of high-level interdisciplinary medical talents in the new era. It includes: Firstly, optimizing the training mode of eight-year program for medical doctors with non-medical bachelor degree followed with complete education for a medical doctorate that innovates the curriculum system of clinical medicine;secondly, creating the training system of postdoctor of clinical medicine and integrating medical resources that include high-quality talents and health care system, in order to build a high-quality teaching staff with a interdisciplinarity background and innovative bases. It not only strengthens the residents' competency and frontier creativity, but also ensures the sustainable development of interdisciplinary medical talents. The reform of training mode, curriculum system, teaching staff and clinical teaching bases all contribute to the goal of building a country with interdisciplinary talents that serve the frontier of science and technology in the world, the major needs of the country and people's health in the new era. © 2022, Peking Union Medical College Hospital. All rights reserved.

Combined and interactive effects of alcohol drinking and cigarette smoking on the risk of severe illness and poor clinical outcomes in patients with COVID-19: a multicentre retrospective cohort study.

OBJECTIVES: Cigarette smoking is an established risk factor for illness severity and adverse outcomes in patients with COVID-19. Alcohol drinking may also be a potential risk factor for disease severity. However, the combined and interactive effects of drinking and smoking on COVID-19 have not yet been reported. This study aimed to examine the combined and interactive effects of alcohol drinking and cigarette smoking on the risk of severe illness and poor outcomes in patients with COVID-19. STUDY DESIGN: This was a multicentre retrospective cohort study. METHODS: This study retrospectively reviewed the data of 1399 consecutive hospitalised COVID-19 patients from 43 designated hospitals. Patients were grouped according to different combinations of drinking and smoking status. Multivariate mixed-effects logistic regression models were used to estimate the combined and interactive effects of drinking and smoking on the risk of severe COVID-19 and poor clinical outcomes. RESULTS: In the study population, 7.3% were drinkers/smokers, 4.3% were drinkers/non-smokers and 4.9% were non-drinkers/smokers. After controlling for potential confounders, smokers or drinkers alone did not show a significant increase in the risk of severe COVID-19 or poor clinical outcomes compared with non-drinkers/non-smokers. Moreover, this study did not observe any interactive effects of drinking and smoking on COVID-19. Drinkers/smokers had a 62% increased risk (odds ratio = 1.62, 95% confidence interval: 1.01-2.60) of severe COVID-19 but did not have a significant increase in the risk for poor clinical outcomes compared with non-drinkers/non-smokers. CONCLUSIONS: Combined exposure to drinking and smoking increases the risk of severe COVID-19, but no direct effects of drinking or smoking, or interaction effects of drinking and smoking, were detected.

PAWG Pilot Study on Quantification of SARS-CoV-2 Monoclonal Antibody - Part 1

Under the auspices of the Protein Analysis Working Group (PAWG) of the Comité Consultatif pour la Quantité de Matière (CCQM) a pilot study, CCQM-P216, was coordinated by the Chinese National Institute of Metrology (NIM), National Research Council of Canada (NRC) and the Bureau International des Poids et Mesures (BIPM). Eleven Metrology Institutes or Designated Institutes and the BIPM participated in the first phase of the pilot study (Part 1). The purpose of this pilot study was to develop measurement capabilities for larger proteins using a recombinant humanized IgG monoclonal antibody against Spike glycoprotein of SARS-CoV-2 (Anti-S IgG mAb) in solution. The first phase of the study was designed to employ established methods that had been previously studies by the CCQM Protein Analysis Working Group, involving the digestion of protein down to the peptide or amino acid level.The global coronavirus pandemic has also led to increased focus on antibody quantitation methods. IgG are among the immunoglobulins produced by the immune system to provide protection against SARS-CoV-2. Anti-SARS-CoV-2 IgG can therefore be detected in samples from affected patients. Antibody tests can show whether a person has been exposed to the SARS-CoV-2, and whether or not they potentially show lasting immunity to the disease. With the constant spread of the virus and the high pressure of re-opening economies, antibody testing plays a critical role in the fight against COVID-19 by helping healthcare professionals to identify individuals who have developed an immune response, either via vaccination or exposure to the virus. Many countries have launched large-scale antibody testing for COVID-19. The development of measurement standards for the antibody detection of SARS-CoV-2 is critically important to deal with the challenges of the COVID-19 pandemic. In this study, the SARS-CoV-2 monoclonal antibody is being used as a model system to build capacity in methods that can be used in antibody quantification. Amino acid reference values with corresponding expanded uncertainty of 36.10 ± 1.55 mg/kg, 38.75 ± 1.45 mg/kg, 18.46 ± 0.78 mg/kg, 16.20 ± 0.67 mg/kg and 30.61 ± 1.30 mg/kg have been established for leucine, valine, phenylalanine, isoleucine and proline, respectively. Agreement between nearly all laboratories was achieved for the amino acid analysis within 2 to 2.5 %, with one participant achieving markedly higher results due to a technical issue found in their procedure;this result was thus excluded from the reference value calculations. The relatively good agreement within a laboratory between different amino acids was not dissimilar to previous results for peptides or small proteins, indicating that factors such as hydrolysis conditions and calibration procedures could be the largest sources of variability.Peptide reference values with corresponding expanded uncertainty of 4.99 ± 0.28 mg/kg and 6.83 ± 0.65 mg/kg have been established for ALPAPIEK and GPSVFPLAPSSK, respectively. Not surprisingly due to prior knowledge from previous studies on peptide quantitation, agreement between laboratories for the peptide-based analysis was slightly poorer at 3 to 5 %, with one laboratory's result excluded for the peptide GPSVFPLAPSSK. Again, this level of agreement was not significantly poorer than that achieved in previous studies with smaller or less complex proteins.To reach the main text of this paper, click on Final Report.

Consumer brand engagement on social media in the COVID-19 pandemic: the roles of country-of-origin and consumer animosity

Purpose: The coronavirus disease (COVID-19) pandemic unprecedentedly shocks the market. Little is known about the impact of COVID-19 on brand engagement across country-of-origin (COO) and country-of-market (COM). To address the gap, this study examines how the spread of the COVID-19 affects consumer brand engagement on social media for global brands through the mechanisms of the COO and consumer animosity. Design/methodology/approach: The authors collect consumer engagement activity data from Facebook for eight global smartphone brands and match it with the COVID-19 statistics. Ordinary least square (OLS) models are used to estimate the impact on global brands brought by the spread of the COVID-19. Findings: The results show that consumer brand engagement decreases for all brands in a COM as the number of confirmed COVID-19 new cases increases in the COM. Consumer brand engagement decreases for a brand across all COM as the number of confirmed COVID-19 new cases increases in the brand’s COO. If a brand’s COO is imputed for the pandemic, its consumer brand engagement will receive additional negative impacts across all COM. Originality/value: This study enriches the COO literature by showing how the spread of a pandemic affects consumer brand engagement via COO and discovers the moderating role of consumer animosity. © 2021, Emerald Publishing Limited.

Study on the Effect of COVID-19 on Agricultural Industrialization Based on Big Data of Electrical Power

Under the wake of COVID-19, agricultural production and people's consumption are seriously affected, in addition, the number of methods to quantitatively analyze of the degree of influence is limited. The big data of electrical power can accurately reflect the business situation of enterprises in the industry. This paper select hundreds of leading enterprises in agricultural industrialization as the analysis objects, and use Keyword Index Technology to construct the corresponding system of enterprise name-electric household number, and use Multilevel Coordination Algorithm to fit the electricity curve of leading enterprises in agricultural industrialization, to study the impact degree difference and resilience of the epidemic situation on the subdivision industry, and use Covariance Analysis Algorithm to analyze the correlation of subdivision industry under the epidemic situation, and to give the prospect of development opportunities in the period after the COVID-19 epidemic situation. © 2020 IEEE.

Transmission of COVID-19 virus by cough-induced particles in an airliner cabin section

With airborne transmissions found as one of the major transmission routes of SARS-CoV-2, its transmission in airliner cabin environments drew special attention due to high number of imported cases and in-cabin transmissions. This study numerically investigated the transmission of COVID-19 by cough-induced particles in a cabin section of Boeing 737 model. One passenger was coughing in each case, while cough particles with measured size distributions were released during coughs and were tracked using the Lagrangian framework. Outcomes revealed that cough flow released by passengers could develop rapidly into a strong turbulent cough jet, breaking up the local airflow field. The released cough particles were largely dominated by the cough jet within 5 s, especially the first 1.5 s. Deposition of particles under 100 µm were relatively delayed when released from a window-seat location. Small particles (under 50 µm) released by a window-seat passenger were more likely to spread widely in the studied cabin section, which could lead to the highest exposure risks to nearby passengers. Also, due to ventilation design and seating arrangement, cough particles released by the middle-seat passenger were found easily trapped in his/her own local environment. Cough particles released from aisle-seat passengers had the least exposure risk to adjacent passengers. © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group.

Patients hospitalized in Eastern North Carolina

Although majority of coronavirus disease 2019 (COVID-19) cases demonstrate mild to asymptomatic disease, COVID-19 can cause serious complica-tions and death. However, risk factors for development of such complications are not well understood. The purpose of this study was to identify risk factors for intubation, cardiac arrest, and death in COVID-19 patients.Methods: A retrospective chart review of COVID-19 subjects was conducted of the first 185 patients for whom we had complete data sets. Subjects were adult inpa-tients with a confirmed COVID-19 diagnosis who were hospitalized between March and May 2020 at Vidant Medical Center in Greenville, NC. Data including demo-graphics, comorbidities, laboratory results, treatments, and outcomes were collected. Data were analyzed using logistic regression models and receiver operating character-istic curves in SAS 9.4.Results: Of the first 185 subjects hospitalized for COVID-19, 26% of patients were intubated, 9% experienced cardiac arrest, and 17% died. Subjects who required intubation were more likely to exhibit elevated triglycerides, sepsis, acute respiratory distress syndrome (ARDS), acute kidney injury (AKI), elevated troponin levels, altered mental status, leukocytosis, lymphopenia and elevated ferritin (P< 0.05) (Table 1). Troponin elevation, ARDS, AKI and thrombocytopenia were risks for cardiac arrest (P< 0.05) (Table 2). Risk of death was increased in those presenting with advanced age, critical or severe disease, lymphopenia or thrombocytopenia, and in those with history of coronary artery disease (CAD) (P< 0.05) (Table 3). Patients presenting with AKI, elevated Troponin, ARDS, pressor requirements, critical disease, and sepsis were at increased risk of intubation, cardiac arrest, and death (P< 0.05) (Tables 1-3).Table 1: Top non-ICU related risk factors for intubation ordered by AUC.Table 2: Top risk factors for cardiac arrest ordered by AUC.Table 3: Top risk factors for death ordered by AUC.Conclusion: In this rapidly evolving pandemic, clinician awareness of risk factors for clinically significant outcomes such as intubation and mortality is essen-tial. Assessment of risk factors like those highlighted in this study can aid in clinical decision-making and predicting patient outcomes. As more data becomes available we aim to develop a validated scoring system to assist clinicians in patient care (Table Presented).

Clinical features and chest CT findings in moderate and severe COVID-19 patients: an analysis of 506 cases from Wuhan Huoshenshan Hospital

Objective: To investigate the clinical features and chest CT findings in moderate and severe COVID-19 patients. Methods: A total of 506 patients with COVID-19 treated in Wuhan Huoshenshan Hospital during February 9 to March 9, 2020 were enrolled in the study, including 365 moderate cases and 141 severe cases. The clinical features and chest CT findings were retrospectively analyzed. Chi-square test and Fisher's exact probability were used for data analysis. Results: The proportions of patients with diabetes and hypertension in severe group were significantly higher than those in moderate group (χ2=9.377 and 15.085, P<0.01). Compared with the severe patients, the white blood cell counts and lymphocyte counts of moderate patients were statistically significant (χ2=14.816 and 30.097, P<0.01). The protortion of increased CRP in severe patients was higher than that in moderate patients (χ2=21.639, P<0.01). The cure rate and discharge rate of severe patients were significantly lower than those of moderate patients (P<0.01). Compared with the moderate cases of COVID-19, the CT images in severe patients mainly showed lesions of diffuse distribution, mixed density, with maximum diameter>10 cm and involved all five lung lobes (P<0.01). The severe patients had more imaging signs of air bronchogram, bronchovascular thickening, pleural thickening, mediastinal or hilar lymphnodes enlargement, pleural effusion and pericardial effusion than moderate patients (χ2=33.357, 11.114, 14.580, 5.978, 45.731 and 6.623, P<0.05 or <0.01). Conclusion: There are differences in clinical features and chest CT findings between moderate and severe patients, and chest CT findings can be used as important criteria for clinical classification. Copyright © 2020 by the Chinese Medical Association.

Method for intelligent judgment on the resumption of work and production

The resumption of work and production helps to avoid the short-term suspension of economic development caused by COVID-19 virus epidemic from becoming long-term economic depression. However, during the COVID-19 virus epidemic, the resumption of work may cause infection. Facing the uncertainty of external environment, the pressure of capital turnover and lead time of orders, the resumption of work and production is a severe problem. To judge the schedule of resumption, we analyze the electricity usage of enterprises in Shaoxing, select 200 enterprises in 4 industries, including heavy industries, general industry and commerce, agricultural production industries, agricultural irrigation and drainage industries. Using the electricity usage before and after the epidemic, we use STL decomposition and Mann Kendall trend test to intelligently judge the situation of resumption. At the same time, combined with the date of suspension and resumption of work, we determine the resumption threshold of enterprises and plot the resumption rate of industries. From the threshold and the plots, we can analyze the schedule of resumption one month before and after the Spring Festival to support the effect of epidemic on different industries. © 2020 IEEE.