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Objective To explore the efforts of applying mindfulness stress reduction therapy in alleviating stress reactions and burnout among head nurses in the context of the Coronavirus disease 2019 (COVID-19). Methods This was a quasi experimental study. In June 2021, 109 head nurses with mild or above burnout measured by Maslach Burnout Inventory (MBI) from 12 hospitals in Zhangjiagang City were selected as the research objects to implement mindfulness-based stress reduction therapy for 8 weeks, and the scores of the Five Facet Mindfulness Question-naire (FFMQ), Stress Response Questionnaire (SRQ) and MBI of the head nurses were compared before and after the intervention. Results The five dimensions of observation, description, perceived action, non-judgment, and non-response and the total scores of the FFMQ were (26.28 ± 1.32), (26.94 ± 1.29), (25.49 ± 0.99), (25.45 ± 1.05), (23.48 ± 1.01), and (127.63 ± 3.78) of the post-intervention, which were higher than the pre-intervention scores of (25.04 ± 1.37), (25.04 ± 1.37), (25.37 ± 1.18), (24.15 ± 1.00), (24.09 ± 0.98), (22.26 ± 1.04), and (120.90 ± 4.06), with statistically significant differences (t values were -39.21- -15.36, all P＜0.01). The three dimensions of emotional, somatic, and behavioral responses and total scores of the post-intervention SRQ were (27.70 ± 6.12), (20.75 ± 4.20), (15.19 ± 3.11), and (65.99 ± 12.43), respectively, lower than the pre-intervention scores of (29.19 ± 6.91), (21.86 ± 5.20), (16.48 ± 4.16), and (70.12 ± 15.97), with statistically significant differences (t values were 5.70-9.33, all P＜0.01);the scores of dimensions of emotional exhaustion and depersonalization in post-intervention MBI were (26.24 ± 4.60) and (5.96 ± 1.25), lower than the pre-intervention scores of (29.66 ± 6.02) and (6.90 ± 1.59). The post-intervention scores of personal fulfillment (32.37 ± 5.02), higher than the pre-intervention scores of (28.60 ± 6.04), all with statistically significant differences (t=15.36, 13.50, - 9.65, all P＜0.01). Conclusions The implementation of mindfulness stress reduction therapy for the head nurses can relieve their work pressure due to the prevention and control of the COVID-19 epidemic, reshape their healthy psychology, and reduce job burnout. © The Author(s) 2023.
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Due to the Covid-19 pandemic, most university classes were moved to online instruction. This greatly stimulated the need for online learning tools. WeBWorK is an open source online homework system, which has been used extensively in a variety of subjects. However, it has not been widely adopted by the Computer Science education community. In this paper, we discuss our experience using WeBWorK in teaching two large online sections of discrete mathematics. Emphasis is given to how we created randomized and auto-graded problems for many topics. In addition, we summarize student performance and feedback. We conclude with our reflections on using WeBWorK and propose future work for exploring its adaptive learning features. © 2023 ACM.
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Coronavirus disease 2019 (COVID-19) has rapidly spread worldwide. Traditional Chinese Medicine (TCM) was considered important by Chinese health authorities in the fight against COVID-19. This review systematically analyzed and evaluated the safety and efficacy of TCM combined with Western Medicine (WM) for the treatment of COVID-19. We sought to provide summary evidence for clinicians when using TCM. We searched for studies in PubMed, Web of Science, Embase, Medline, the Cochrane Library, China National Knowledge Infrastructure, and Wanfang Data from database inception to June 1, 2021. Overall, 31 studies (14,579 participants) were involved in the final systematic review, including 15 randomized controlled trials and 16 observational studies. TCM combined with WM showed main outcomes of a higher clinical efficacy rate (odds ratio [OR] =2.48, 95% confidence interval [CI] =1.90-3.24, I 2 = 4%) and lower case fatality rate (OR = 0.31, 95% CI = 0.19-0.49, I 2 = 80%) compared with WM treatment alone. No significant overall adverse events were found between TCM plus WM group and WM group (OR = 1.43, 95% CI = 0.63-2.23, I 2 = 75%). Some larger randomized control trials would assist in defining the effect of TCM combined with WM on the treatment of COVID-19 complications such as cardiac injury. TCM combined with WM may be safe and effective for the treatment of COVID-19. © 2022 Heart and Mind ;Published by Wolters Kluwer - Medknow.
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Background Valve thrombosis is a documented cause of prosthetic valve failure. Common features include increased cusp thickness, reduced cusp mobility, and increased transvalvular gradient. Case reports have been published of prosthetic valve thrombosis secondary to COVID-19 infection, but this may represent the first documented case of bioprosthetic transcatheter aortic valve replacement (TAVR) thrombosis in the setting of COVID-19. Case A 90 year-old female with atrial fibrillation on apixaban and severe aortic stenosis status-post TAVR with normal valve function on recent echocardiogram presented in clinic with acute chest pain. She was found to have COVID-19 infection and severe bioprosthetic valvular regurgitation with leaflet thickening, abnormal cusp mobility, and elevated transvalvular gradient. [Formula presented] Decision-making Given the time course of valve failure, COVID-19 infection, and echocardiographic features, the patient was diagnosed with bioprosthetic valve thrombosis secondary to COVID-19. She was optimized with diuresis and continued on apixaban before undergoing valve-in-valve TAVR with resolution of valvular dysfunction. Conclusion This case contributes to a body of literature describing thrombotic complications in patients with valve replacement and COVID-19 infection despite concurrent anticoagulation. Increased vigilance and investigations are warranted to better characterize thrombotic risk and optimal antithrombotic strategies in this patient populace.Copyright © 2023 American College of Cardiology Foundation
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Objective: To study the incubation period of the infection with 2019-nCoV Omicron variant BA.5.1.3. Methods: Based on the epidemiological survey data of 315 COVID-19 cases and the characteristics of interval censored data structure, log-normal distribution and Gamma distribution were used to estimate the incubation. Bayes estimation was performed for the parameters of each distribution function using discrete time Markov chain Monte Carlo algorithm. Results: The mean age of the 315 COVID-19 cases was (42.01±16.54) years, and men accounted for 30.16%. A total of 156 cases with mean age of (41.65±16.32) years reported the times when symptoms occurred. The log-normal distribution and Gamma distribution indicated that the M (Q1, Q3) of the incubation period from exposure to symptom onset was 2.53 (1.86, 3.44) days and 2.64 (1.91, 3.52) days, respectively, and the M (Q1, Q3) of the incubation period from exposure to the first positive nucleic acid detection was 2.45 (1.76, 3.40) days and 2.57 (1.81, 3.52) days, respectively. Conclusions: The incubation period by Bayes estimation based on log-normal distribution and Gamma distribution, respectively, was similar to each other, and the best distribution of incubation period was Gamma distribution, the difference between the incubation period from exposure to the first positive nucleic acid detection and the incubation period from exposure to symptom onset was small. The median of incubation period of infection caused by Omicron variant BA.5.1.3 was shorter than those of previous Omicron variants.
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COVID-19 , Nucleic Acids , Male , Humans , Adult , Middle Aged , SARS-CoV-2 , Bayes Theorem , Infectious Disease Incubation PeriodABSTRACT
The low-carbon development of air transport industry is of great significance for China to achieve the commitment of carbon peak and carbon neutrality goals. In order to improve the basic data of aviation CO2 emissions, this study continuously collected full flight information in China from January 2017 to December 2020, and established a flight information database and an aircraft-engine parameter database. On the basis of IPCC's Tier 3B accounting method, this study established a long-term aviation CO2 emissions inventory of China from 2017 to 2020 by calculating and accumulating CO2 emissions of each flight. And aviation CO2 emissions of various provinces and cities in China were calculated combined with spatial allocation method. The results showed that aviation CO2 emissions in China was 104.1, 120.1, 136.9, and 88.3 Mt in 2017, 2018, 2019, and 2020, respectively, with annual growth rates of 15.4%, 14.0%, and −35.3% in 2018, 2019, and 2020, respectively. Affected by the COVID-19 pandemic, aviation CO2 emissions in all 31 provinces and 93% of cities decreased in 2020 compared with 2019. China is in the stage of rapid development of air transport industry, and aviation fossil energy consumption and CO2 emissions have continued to grow in recent years. © 2022 Elsevier Ltd
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The increasingly severe situation of ageing population has caused great pressure on the global wealth reserve, population security, economic construction, and social stability. Under this background, it is of great importance to realize the ideological, institutional, and economic changes from raising & nursing the elderly to actively ageing as soon as possible. The concept of active ageing was written in the Political Declaration and Madrid International Plan of Action on Ageing of the UN at the beginning of this century, which is a global policy framework to deal with the problem of population ageing in the 21st century. Active ageing believes that the elderly have great potential and energy and are valuable social resources. By stimulating their potential, the elderly could not only realize their self-worth but also contribute to society, instead of blindly needing social care. Digital technology is an important technology to support active ageing. However, the digital divide in front of the elderly has greatly affected the role and effect of digital technology in an ageing society. The sudden COVID-19 also highlights the seriousness of the digital divide among the elderly and the importance of building an ageing-inclusive digital economy. Under this background, it is of great significance to carry out the related research and other actives of the ageing-inclusive digital economy, which will provide solutions for actively responding to the global challenge of ageing and help all parts of the world to effectively turn the ageing pressure into driving force of the economy. This paper introduces the global survey on ageing-inclusive digital economy and related standards conducted in early 2021, which aimed to clarify the influence and challenges of the digital economy on the elderly, and the expectations and demands of building an ageing-inclusive digital economy. The results from this survey show that the digital economy has a high impact on the elderly, but on the contrary, the participation of the elderly is low although there are strong will. © 2022 ACM.
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Objective·To explore the possible roles of immune inhibitory receptor leukocyte immunoglobulin-like receptor subfamily B member 2 (LILRB2) in the immune inflammation after severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, and provide a potential therapeutic way for the coronavirus disease 2019 (COVID-19). Methods·The supernatants containing the extracellular domain of spike protein (S-ECD) were collected, and the detection of the protein expression and activity in the conditional medium by Western blotting and flow cytometric analysis was followed by. The binding of S-ECD with LILRB2 was measured by co-immunoprecipitation and flow cytometric analysis. The mRNA expression levels of several inflammation genes in a human mononuclear cell line (THP1) or peripheral blood mononuclear cells (PBMC) were measured after spike protein stimulation for 24 h by quantitative RT-PCR. The protein levels of interleukin-6 (IL-6) and interleukin-1β (IL-1β) in the conditional medium were examined by enzyme-linked immunosorbent assay (ELISA). The siLILRB2 was transferred into CD33+ myeloid cells purified from human peripheral blood with Lipofectamine 3000 reagents. The knockdown efficiency was detected 24 h after transfection by flow cytometric analysis. The difference in the protein levels of IL-6 between the control cells and LILRB2-knocked-down cells after spike protein treatment was evaluated by ELISA. Results·The study established a transfection system with 293T cells by which the SARSCoV-2 S-ECD could be secreted to supernatants with normal biological activities. The interaction and the binding of spike protein with LILRB2 were evaluated by a co-immunoprecipitation assay and flow cytometric analysis, respectively. The mRNA expression levels of IL-6, IL-8, arginase 1 and IL-2 in THP1 cells were significantly up-regulated 24 h after spike protein treatment compared to the control cells (all P<0.05). Consistently, the mRNA levels of IL-6, transforming growth factor-β (TGF-β), IL-8, IL-10 and IL-β in PBMC were notably increased after spike protein stimulation (all P<0.05). In addition, spike protein could also induce the release of IL-6 and IL-1β in PBMC as measured by ELISA (all P<0.05). More importantly, spike protein was able to increase the secretion of IL-1β and IL-6 by CD33+ myeloid cells 24 h after treatment (both P<0.05). LILRB2-overexpressing THP1 cells produced more IL-6 24 h after treatment with spike protein than the control cells (P<0.05). Two siRNAs could efficiently down-regulate the expression of LILRB2 in CD33+ cells as evaluated by flow cytometric analysis. Consistently, spike protein had no effect on the IL-6 secretion to supernatant from LILRB2-knockdown CD33+ myeloid cells. Conclusion·SARS-CoV-2 can induce cytokine release syndrome by inflammatory factors, such as IL-6 and IL-1β, released by myeloid cells through spike protein binding to LILRB2. © 2022 Editorial Department of Journal of Shanghai Second Medical University. All rights reserved.
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The outbreak of COVID-19 has led to a sharp increase in the demand for disposable medical protective clothing in the short term. In order to shorten the marketing cycle, a large number of domestic disposable medical protective clothing products have been sterilized by electron beam irradiation, which is more efficient than ethylene oxide sterilization. However, the performance of such clothing must adhere to strict requirements and the process parameters of this sterilization method still lack systematic data support. In order to ensure the reliability of electron beam sterilization of disposable medical protective clothing, research on a corresponding process was carried out. Typical disposable medical protective clothing available on the market made of polypropylene (PP) and coated with polyethylene (PE) was selected as the material studied. An appropriate method was selected to establish the corresponding sterilization dose with reference to the standard methods—“Disposable medical protective clothing irradiation sterilization emergency specification (temporary)”and“ISO 11137-2:2013 Sterilization of health care products—Radiation—Part 2: Establishing the sterilization dose.”The change in material properties after irradiation sterilization with different absorbed doses was studied. Based on the obtained parameters, an algorithm for the average absorbed dose on irradiation by an irradiation electron linac was proposed. Results showed that absorbed doses of 20.3 kGy and 31.5 kGy allowed the products to achieve sterility assurance levels of 10−3 and 10−6, respectively. The material performance of the products after irradiation at 25.0 kGy, 30.0 kGy and 35.0 kGy were able to meet national standard requirements such as elongation at break, breaking strength, impermeability, and filtration efficiency. Thus, a satisfactory electron beam irradiation sterilization process for medical disposable protective clothing has been established. © 2021 The authors.
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Artificial intelligence (AI) enables continuous monitoring of patients' health, thus improving the quality of their health care. However, prior studies suggest that individuals resist such innovative technology. In contrast to prior studies that investigate individuals' decisions for themselves, we focus on family members' rejection of AI monitoring, as family members play a significant role in health care decisions. Our research investigates competing effects of emotions toward the rejection of AI monitoring for health care. Based on two scenario-based experiments, our study reveals that emotions play a decisive role in family members' decision making on behalf of their parents. We find that anxiety about health care monitoring and anxiety about health outcomes reduce the rejection of AI monitoring, whereas surveillance anxiety and delegation anxiety increase rejection. We also find that for individual-level risks, perceived controllability moderates the relationship between surveillance anxiety and the rejection of AI monitoring. We contribute to the theory of Information System rejection by identifying the competing roles of emotions in AI monitoring decision making. We extend the literature on decision making for others by suggesting the influential role of anxiety. We also contribute to healthcare research in Information System by identifying the important role of controllability, a design factor, in AI monitoring rejection.
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Background: Coronavirus disease 2019 (COVID-19), caused by betacoronavirus SARS-CoV-2, is associated with an increased risk of severe infection or death in cancer patients compared to the general population. The CANVAX trial recently demonstrated that short term immune responses to SARS-CoV-2 vaccines are modestly impaired in patients with cancer- particularly those who receive myelosuppressive chemotherapy. Because little is known regarding longitudinal antibody or T-cell responses in cancer patients who receive cytotoxic chemotherapy or non-myelosuppressive targeted systemic therapy, the aim of this longitudinal study is to assess immune B and T cell responses to SARS-CoV-2 over a 12-month period in solid tumor patients who receive chemotherapy or non-immunosuppressive therapy compared to healthy individuals without cancer. Methods: This is an ongoing prospective non-interventional clinical trial (NCT05238467). Approximately 100 patients will be enrolled into three different arms. Accrual began in May 2021 and 37 patients have been enrolled. Eligible patients must not have prior COVID-19 infection < 6 months from study enrollment and have a diagnosis of a solid tumor (breast, genitourinary, or gastrointestinal cancers), who either: received myelosuppressive chemotherapy within 60 days prior to initial or booster COVID vaccination, or who started on chemotherapy within 30 to 60 days after the initial or booster COVID vaccination (Arm A);or received non-immunosuppressive treatments (Arm B);or have no history of cancer or prior history of cancer but beyond 12 months from completion of curative cancer treatment (Arm C, control cohort). Whole blood will be collected in accordance with standard operating procedures. Blood samples analyzed for the presence of antibodies against the major antigenic components of SARS-CoV-2 including the spike glycoprotein (S), receptor binding domain (R) and nucleocapsid phosphoprotein (N). Antibody levels will be quantified utilizing quantitative ELISA. T-cell responses will also be quantified. The primary endpoint is seroprotection rate with an antibody titer protective (1:40) at any point: baseline, 2, 6, and 12 months. The secondary endpoint is to evaluate differences in longitudinal immunological responses to SARSCoV- 2 over a 12-month period. The difference of the seroprotection rate among 3 cohorts of participants will be examined using chi-square test. Moreover, the effect of treatment (chemotherapy, endocrine, TKIs) on seroprotection will be estimated using multivariable logistic regression controlling the effects of confounders, such as age, gender and cancer type. COVID antibody titers measured over time (baseline, 8 weeks, 6, 9, 12 months after the second vaccination) will be analyzed using mixedeffect models. .
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Starting from December 2019, the novel coronavirus disease 2019 (COVID-19) has been rapidly spreading throughout the world, disrupting individuals' lives and the function of the whole human society. At the frontlines of the fight against the COVID-19 pandemic, multiple aspects of healthcare facilities have been significantly affected. To fill the information gap in the scientific literature, a small pilot study was conducted in this paper to assess the impacts of COVID-19 on service utilization and energy consumption in healthcare facilities. Monthly services utilization data including number of outpatients and emergency patients (NOEP), number of inpatients (NIP), and monthly total energy consumption (TEC) data of five Shanghai large-scale municipal hospitals have been utilized. The impacts were modeled using the autoregressive integrated moving average (ARIMA) model with the normal period (January 2015-December 2019) and compared with COVID-19 period (January 2020-December 2020). The empirical results show that the impacts of COVID-19 on services utilization were significantly greater than those on energy consumption. In addition, the magnitude of the impact has varied significantly according to the type of service and healthcare facilities. This study provides insights for healthcare facilities in assessing services utilization and energy demand during times of public health crises, such as the COVID-19 pandemic.
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With an increased interest in makerspace in K-12 education, professional development (PD) is needed to equip teachers with the knowledge, skills and dispositions to effectively incorporate makerspace and maker technology in teaching. This study examined a virtual PD programme to improve K-12 teachers' knowledge, attitudes and beliefs in teaching with maker technology. Data were collected from 43 in-service schoolteachers through project artefacts, survey questionnaires and reflection journals. Results of the qualitative and quantitative analyses show that the PD experience effectively improved participants' knowledge in maker technology and the associated pedagogy, as well as their attitudes and beliefs towards teaching with maker technology. Implications for designing and implementing a virtual maker-centred teacher PD programme and directions for future research are discussed. Practitioner notes What is currently known about this topic Makerspaces and maker technology have been increasingly introduced to K-12 settings to promote student learning. Teachers struggle to effectively design and implement maker-centred instruction. Empirical research was very limited on preparing in-service teachers for maker-centred instruction. Maker resource deficiency in rural areas and the COVID-19 pandemic added pressure for researchers and educators to develop alternative models for digitalizing maker-centred professional development (PD). What this paper adds This study designed and implemented virtual maker-centred PD activities to prepare K-12 schoolteachers for integrating maker technology in classroom teaching. Both quantitative and qualitative results show that virtual maker-centred PD activities significantly improved teachers' knowledge of maker technology and the associated pedagogy, and also improved their attitudes and beliefs toward teaching with maker technology. This paper provides a practical example of how maker-centred PD for in-service teachers could be accomplished through a virtual programme. Implications for practitioners It is beneficial for teachers to have hands-on experience through making to better understand what maker technology can do and what the learning process is in making. Domain and context-specific making contributed to the development of making-associated pedagogy skills, as well as attitudes and beliefs towards maker technology. PD programmes should focus on maker knowledge and skills first to improve teachers' attitudes and beliefs. For at-a-distance making, it is important to provide access to a collection of tools and give teachers an immersive experience in an authentic makerspace. © 2022 British Educational Research Association
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As the vaccine was successfully developed, the spread of the epidemic (COVID-19) was effectively controlled. But there are still thousands of people affected COVID-19 after being vaccinated. Neutralizing activity has become a critical method for quantifying neutralizing antibody against SARS-CoV-2. However, limited to the strict conditions of cold chain transportation, the neutralizing activity test has not been widely promoted. In this study, a room-temperature-storable chemiluminescence freeze-drying mixes for SARS-CoV-2 neutralizing antibody detection was developed to decrease the cost of lyophilization step for promoting its application in third world countries. Several freeze concentrated solutions were used to protect the antigen bioactivity. The mixes can be stored at room temperature over 12 months and still exhibited great accuracy and precision. Thus, the proposed room-temperature-storable chemiluminescence freeze-drying mixes offers a cheap and stable storage method for SARS-CoV-2 neutralizing antibody detection and shows a great potential for promoting the neutralizing activity test.
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Objective To describe the spatial distribution of COVID-19 cases in Shaanxi Province and further explore its relevant factors, so as to provide evidence for the prevention and control of COVID-19 in Shaanxi Province. Methods The information of confirmed COVID-19 cases and relevant socioeconomic data in Shaanxi Province were collected. The temporal and spatial distribution characteristics of confirmed cases, and the correlation between the incidence of COVID-19 and socioeconomic factors in the population were analyzed by using a generalized linear model. Results Four cases were first reported in Shaanxi on 23 January 2020, with the highest number of new confirmed cases reaching 23 on 4 February and no new cases after 19 February. The imported cases appeared earlier and reached the new peak than the local cases, and entered the zero stage earlier than the local cases. The spatial distribution showed that Xi′ an (120 cases) had the largest number of confirmed cases, accounting for 48.98% of the total cases, and the districts with more confirmed cases were in Lianhu, Yanta, Xincheng and Weiyang. Socioeconomic factors which significantly associated with the number of confirmed cases in each district and country were education expenditure (IRR=0.287, 95% CI: 0.134-0.612), GDP per capita (IRR=1.143, 95% CI: 1.049-1.245) and the distance from Wuhan (IRR=0.995, 95% CI: 0.992-0.998). Conclusion Measures should be taken in key areas and population at the early stage of the epidemic to control the spread of the epidemic as soon as possible. © 2021, Publication Centre of Anhui Medical University. All rights reserved.
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Purpose Psychosocial factors have received increasing attention regarding significantly influencing safety in the construction industry. This research attempts to comprehensively summarize psychosocial factors related to safety performance of construction workers. In the context of coronavirus disease 2019, some typical psychosocial factors are selected to further analyze their influence mechanism of safety performance. Design/methodology/approach First, a literature review process was conducted to identify and summarize relevant psychosocial factors. Then, considering the impact of the epidemic, hypotheses on the relationship between six selected psychosocial factors (i.e. work stress, role ambiguity, work-family conflict, autonomy, social support and interpersonal conflict) and safety performance were proposed, and a hypothetical model was developed based on job demands-resources theory. Finally, a meta-analysis was used to examine these hypotheses and the model. Findings The results showed these psychosocial factors indirectly influenced workers' safety performance by impacting on their occupational psychology condition (i.e. burnout and engagement). Work stress, role ambiguity, work-family conflict and interpersonal conflict were negatively related to safety performance by promoting burnout and affecting engagement. Autonomy and social support were positively related to safety performance by improving work engagement and reducing burnout. Originality/value This research is the pioneer systematically describing the overall picture of psychosocial factors related to the safety performance of construction workers. Through deeply discussed the mechanism of psychosocial factors and safety performance, it could provide a reference for the theory and application of psychosocial factors in the field of construction safety management.
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Viral infectious diseases seriously endanger human health, the new type of coronary pneumonia has become a major global public safety and health incident. Vaccination is an important way to effectively prevent and control viral infections and the spread of infectious diseases. While routine vaccines have shown a shortfall, such as short half-life, weak immunogenicity, weak targeting, slow absorption, and high storage and delivery requirements. In recent years, nanobiomaterials are expected to be used as vaccine adjuvants for the prevention and treatment of viral infectious diseases due to their lower systemic toxicity, stronger tissue targeting, higher specific surface area and lower immune titer. This review will focus on the classification, action pathways and mechanisms of nanobiomaterials as adjuvants for antiviral vaccines. In addition, the application of nanobiomaterials in the new crown vaccine is described in combination with coronavirus disease-19 (COVID-19), which is currently popular worldwide. Finally, the challenges faced by nanobiomaterials in antiviral vaccine adjuvants are summarized. © 2021, Science in China Press. All rights reserved.
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The COVID-19 epidemic has presented a severe test for the medical systems of all countries in the world. Regardless of developed or developing countries, the traditional medical service model has been dramatically affected. The traditional face-to-face treatment model has increased doctors’ risk of infection. In contrast, for patients with chronic diseases, going to the hospital for treatment raises the risk of cross-infection, which seriously affects their standard medical treatment. The Internet Healthcare’s non-contact treatment model, the ultra-large crowd processing capacity of computers, responsiveness that is unrestricted by time and place, multi-channel information collection, and precise diagnosis and treatment are supported by a considerable knowledge base have unleashed their full potential in the COVID-19 epidemic. Thus, these are generally considered to be reliable medical tools that can effectively perform chronic disease management amid the epidemic. COVID-19 has left us with a huge scar. Also, human society will likely face similar natural disasters in the future. So, in the face of the COVID-19 epidemic, we medical workers need to duly think about and explore medical models that align with future social development. Internet Healthcare, as an inevitable outcome of social and technological developments, needs to inherit the advantages and essence of the traditional medical model and progress on its basis. Instead of blindly relying on new technologies, it should reexamine the future of Internet Healthcare on the foundation of a traditional model. Therefore, for Internet Healthcare, this novel coronavirus pandemic is perhaps an opportunity and a challenge. © 2021 by Nova Science Publishers, Inc.