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1.
Value in Health ; 26(6 Supplement):S268, 2023.
Artigo em Inglês | EMBASE | ID: covidwho-20245360

RESUMO

Objectives: To evaluate how payers utilize Institute for Clinical and Economic Review (ICER) assessments to inform coverage or formulary decisions. Method(s): Double-blinded, web-based survey was fielded through Xcenda's research panel, the Managed Care Network, from June to July 2022. Result(s): A total of 51 payers from health plans (n=27), integrated delivery networks (n=12), and pharmacy benefit managers (n=12) participated in the survey. When assessing the usefulness of ICER's value assessment framework (VAF) to inform formulary decisions within their organizations, 57% of payers indicated it was extremely/very useful, 33% indicated somewhat useful, and 10% indicated not at all/not very useful. Most respondents (73%) agreed that ICER assessments are aligned with their organization's internal assessment. Utilization of ICER's VAF was most prevalent in high-cost drug or disease states (78%), rare/orphan disease states (71%), and oncology/hematology disease states (67%). Payers reported less use in primary care disease states (29%), COVID-19 (8%), and digital therapeutics (4%). In the last 24 months, 20% of payers reported ICER's recommendations often influenced coverage decisions, 59% indicated occasional influence, and 22% indicated no influence. In the last 24 months, payers indicated the top 5 ICER assessments that influenced their coverage decisions included high cholesterol (38%), Alzheimer's disease (36%), atopic dermatitis (33%), multiple myeloma (31%), and chemotherapy-induced neutropenia (28%). ICER assessments that were less impactful included beta thalassemia (3%), digital health technologies (3%), and supervised injection facilities (3%). Payers reported using ICER assessments to inform both expanded and restricted coverage decisions. Conclusion(s): Payers find ICER's VAF useful to inform their organization's formulary decisions. ICER's assessments often align with payers' internal assessments and are most frequently utilized for high-cost drugs or disease states. Payers indicate ICER assessments have affected both expansion and restriction in their coverage policies.Copyright © 2023

2.
Chinese Journal of Radiological Medicine and Protection ; 40(10):783-788, 2020.
Artigo em Chinês | EMBASE | ID: covidwho-2269955

RESUMO

Objective: To investigate the application value of third-generation dual-source CT(3-G DSCT) low-dose scan mode combined with iterative reconstruction technology in the screening of COVID-19 and to evaluate the radiation dose. Method(s): One hundred and twenty patients suspected of COVID-19 from December 2019 to February 2020 were retrospectively analysed and randomly divided into two groups (test group and conventional group, 60 patients in each). The parameters for test group included 3-G DSCT, Turbo Flash scan mode, CARE kV, with reference 90 kV, pitch 2.0, and ADMIRE algorithm, while those parameters for conventional group included the 128-slice CT, conventional spiral scan mode, 120 kV, pitch 1.2, and FBP algorithm. The CT values of aorta, spinal posterior muscle, and subcutaneous fat, the aortic noise, signal-to-noise ratio (SNR), and contrast noise ratio (CNR) were compared to evaluate the image quality between two groups. Two experienced doctors scored the image quality using a double-blind method, and compared the CT dose index volume (CTDIvol), dose-length product (DLP), and effective dose (E) of the two groups. Result(s): The CT value of the aorta and spinal posterior muscle and the aortic SNR in the test group were (45.38+/-4.77), (53.41+/-8.44) HU, and 2.82+/-0.59, and significantly higher than those in the conventional group [(39.68+/-6.26), (42.66+/-6.32) HU, 2.58+/-0.61, t=5.608, 7.897, 2.162, P<0.05]. The aortic noise, CNR and subjective scores between the two groups had no significant difference( P>0.05). The CTDIvol, DLP, and E in the test group were (3.09+/-1.02) mGy, (107.57+/-32.81) mGy*cm, (1.51+/-0.46) mSv, significantly lower than those in the conventional group [(7.00+/-1.80) mGy, (261.65+/-73.93) mGy*cm, (3.66+/-1.03) mSv;t=-14.680, -14.756, -14.756, P<0.05]. Conclusion(s): In the screening of COVID-19, using low-dose scanning mode of 3-G DSCT combined with iterative reconstruction technology would provide diagnostic quality images and meanwhile effectively reduce the radiation dose and improve the SNR of the image.Copyright © 2020 by the Chinese Medical Association.

3.
Chinese Journal of Radiological Medicine and Protection ; 40(10):794-797, 2020.
Artigo em Chinês | EMBASE | ID: covidwho-2268688

RESUMO

Objective: To explore a low dose CT scanning method on novel coronavirus (COVID-19) pneumonia based on infection prevention and control. Method(s): A total of 140 patients with confirmed novel coronavirus pneumonia in Xiehe hospital from January 20, 2020 to February 28, 2020 were undertaken CT scan and divided into low dose group and conventional dose group. The patients in low dose group(120 kV, 31 mAs) consisted of mild type(51), severe type(15) and critically ill type(4);and those in conventional dose group(120 kv, adaptive milliampere second) consisted of mild type(48), severe type(17) and critically ill type(5). The effective radiation dose, SNR and CNR of CT scan were compared between two groups. A senior and a middle radiologist made the image subjective quality scores, respectively. Result(s): The effective dose in low dose group was lower than that of conventional dose group(t=-48.343, P<0.05). There was no significant difference in SNR and CNR between two groups(P>0.05). For severe and critically ill patients, the score in low dose group was significantly lower than that in conventional dose group(t=-2.781, P<0.05). There was no significant difference in scores between two groups for mild patients(P>0.05). Conclusion(s): Low-dose CT scanning could meet the image quality needs for patients with COVID-19 and meanwhile significantly reduce the radiation dose.Copyright © 2020 by the Chinese Medical Association.

4.
Chinese Journal of Radiological Medicine and Protection ; 40(10):798-801, 2020.
Artigo em Chinês | EMBASE | ID: covidwho-2288764

RESUMO

Since February 9th, 2020, the mobile CT in Jianghan mobile cabin hospital had begun to be used for scanning patients with COVID-19.The mobile CT has played an irreplaceable role in clinical diagnosis with its unique advantages. During CT scanning, the technicians should not only ensure that the patients receive the radiation dose as low as possible, but also be aware of the importance of the infection prevention and control. Meanwhile, we need concern the technicians about the psychological problems and should take effective action when they occured.Copyright © 2020 by the Chinese Medical Association.

5.
Journal of Healthcare Engineering ; 2023 (no pagination), 2023.
Artigo em Inglês | EMBASE | ID: covidwho-2288736

RESUMO

Distance estimation methods arise in many applications, such as indoor positioning and COVID-19 contact tracing. The received signal strength indicator (RSSI) is favored in distance estimation. However, the accuracy is not satisfactory due to the signal fluctuation. Besides, the RSSI-only method has a large-ranging error because it uses fixed parameters of the path loss model. Here, we propose an optimization method combining RSSI and pedestrian dead reckoning (PDR) data to estimate the distance between smart devices. The PDR may provide high accuracy of walking distance and direction. Moreover, the parameters of the path loss model are optimized to dynamically fit the complex electromagnetic environment. The proposed method is evaluated in outdoor and indoor environments and compared with the RSSI-only method. The results show that the mean absolute error is reduced up to 0.51 m and 1.02 m, with an improvement of 10.60% and 64.55% for outdoor and indoor environments, respectively, compared with the RSSI-only method. Consequently, the proposed optimization method has better accuracy of distance estimation than the RSSI-only method, and its feasibility is demonstrated through real-world evaluations.Copyright © 2023 Bo Zhao et al.

6.
Chinese Journal of Applied Clinical Pediatrics ; 35(2):97-104, 2020.
Artigo em Chinês | EMBASE | ID: covidwho-2288487

RESUMO

Novel Coronavirus Pneumonia (NCP) is a class B infectious disease, which is prevented and controlled according to class A infectious diseases. Recently, children's NCP cases have gradually increased, and children's fever outpatient department has become the first strategic pass to stop the epidemic.Strengthening the management of the fever diagnosis process is very important for early detection of suspected children, early isolation, early treatment and prevention of cross-infection. This article proposes prevention and control strategies for fever diagnosis, optimizes processes, prevents cross-infection, health protection and disinfection of medical staff, based on the relevant diagnosis, treatment, prevention and control programs of the National Health and Health Commission and on the diagnosis and treatment experience of experts in various provinces and cities. The present guidance summarizes current strategies on pre-diagnosis;triage, diagnosis, treatment, and prevention of 2019-nCoV infection in common fever, suspected and confirmed children, which provide practical suggestions on strengthening the management processes of children's fever in outpatient department during the novel coronavirus pneumonia epidemic period.Copyright © 2020 by the Chinese Medical Association.

7.
3rd International Conference on Computers, Information Processing and Advanced Education, CIPAE 2022 ; : 364-368, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2286273

RESUMO

Given the COVID-19 pandemic, this paper aims at providing a full-process information system to support the detection of pathogens for a large range of populations, satisfying the requirements of light weight, low cost, high concurrency, high reliability, quick response, and high security. The project includes functional modules such as sample collection, sample transfer, sample reception, laboratory testing, test result inquiry, pandemic analysis, and monitoring. The progress and efficiency of each collection point as well as the status of sample transfer, reception, and laboratory testing are all monitored in real time, in order to support the comprehensive surveillance of the pandemic situation and support the dynamic deployment of pandemic prevention resources in a timely and effective manner. Deployed on a cloud platform, this system can satisfy ultra-high concurrent data collection requirements with 20 million collections per day and a maximum of 5 million collections per hour, due to its advantages of high concurrency, elasticity, security, and manageability. This system has also been widely used in Jiangsu, Shaanxi provinces, for the prevention and control of COVID-19 pandemic. Over 100 million NAT data have been collected nationwide, providing strong informational support for scientific and reasonable formulation and execution of COVID-19 prevention plans. © 2022 IEEE.

9.
IEEE Transactions on Network Science and Engineering ; : 1-13, 2022.
Artigo em Inglês | Scopus | ID: covidwho-2037845

RESUMO

Infectious diseases pose a severe threat to human health, especially the outbreak of COVID-19. After the infectious disease enters the stage of large-scale epidemics, vaccination is an effective way to control infectious diseases. However, when formulating a vaccination strategy, some restrictions still exist, such as insufficient vaccines or insufficient government funding to afford everyone's vaccination. Therefore, in this paper, we propose a vaccination optimization problem with the lowest total cost based on the susceptible-infected-recovered (SIR) model, which is called the Lowest Cost Of Vaccination Strategy (LCOVS) problem. We first establish a mathematical model of the LCOVS problem. Then we propose a practical Differential Evolution based Simulated Annealing (DESA) method to solve the mathematical optimization problem. We use the simulated annealing algorithm (SA) as a local optimizer for the results obtained by the differential evolution algorithm (DE) and optimized the mutation and crossover steps of DE. Finally, the experimental results on the six data sets demonstrate that our proposed DESA can achieve a more low-cost vaccination strategy than the baseline algorithms. IEEE

10.
Acta Medica Mediterranea ; 38(4):2217-2220, 2022.
Artigo em Inglês | EMBASE | ID: covidwho-1979798

RESUMO

Objective: Discussion of the application effect of Video Monitoring System (VMS) to prevent SARS-CoV-2 infection during taking off personal protective equipment (PPE) in the designated hospital for coronavirus disease 2019 (COVID-19) patients. Method: Monitoring system, alarm system was installed in the buffer area of taking off PPE, with monitoring, guidance, and supervision by special personnel. Comparison with the effect of arranging dedicated staff for monitoring. Result: By application of video monitoring system, the infection prevention and control problems, as well as potential risks by process of taking off PPE, can be timelier discovered, compared with the traditional monitoring method of arranging dedicated staff, the number of non-conforming cases of taking off PPE within two weeks significantly reduced and the efficiency drastically increased. Conclusion: The video monitoring system plays a very effective role in preventing SARS-CoV-2 infection during the process of personal protective equipment taking off. Timely implementation of video monitoring system management can effectively avoid the risks caused by nonstandard PPE taking off and secure the safety of Healthcare personnel.

11.
Chinese Journal of Radiology (China) ; 56(4):377-384, 2022.
Artigo em Chinês | EMBASE | ID: covidwho-1896938

RESUMO

Objective To explore the application value of CT pulmonary function imaging in patients with Coronavirus Disease 2019 (COVID‑19) in the convalescent phase. Methods The COVID‑19 patients who were clinically cured and discharged from Union Hospital, Tongji Medical College, Huazhong University of Science and Technology were prospectively collected from January to April 2020. Clinical pulmonary function tests (PFTs) and CT pulmonary function imaging were performed 3 months after discharge. The Philips IntelliSpace Portal image post‑processing workstation was used to obtain the paired inspiratory‑expiratory CT quantitative indexes of the whole lung, left lung, right lung and five lobes. The patients were divided into two groups according to whether residual lesions remain in inspiratory CT images: non‑residual lesion group and residual lesion group. The chi‑square test was used to compare the differences in the PFT results between groups;the Mann‑Whitney U test was used to compare the differences in PFT indexes [forced expiratory volume in the first second as percentage of predicted value (FEV1%), FEV1/forced vital capacity (FEV1/FVC), total lung capacity as percentage of predicted value (TLC%), FVC% ] and the differences in quantitative CT indexes [lung volume (LV), mean lung density (MLD), volume change in inspiratory phase and expiratory phase (∆ LV)] between groups. Multiple linear regression was used to analyze the relationship between CT pulmonary function imaging and PFT indexes of convalescent COVID‑19 patients. Results Of the 90 patients with COVID‑19, 35 were males and 55 were females;45 were included in the non‑residual lesion group and 45 were included in the residual lesion group. Fifty‑three patients had clinical pulmonary dysfunction 3 months after discharge, including 22 patients in the non‑residual lesion group and 31 patients in the residual lesion group. In patients with residual disease, left lower lobe and right lower lobe LV, left lower lobe and right lower lobe ∆ LV in the inspiratory and expiratory phase were smaller than those without residual disease;whole lung, left lung, right lung, left upper lobe, left lower lobe and right lower lobe MLD in the inspiratory phase and left lower lobe and right lower lobe MLD in the expiratory phase were greater than those without residual disease (P<0.05). Since there was no significant difference in FEV1/FVC and FVC% between residual and non‑residual lesion groups (P>0.05), FEV1/FVC and FVC% of two groups were combined. Multiple linear regression analysis showed FEV1/FVC= 91.765-0.016×LVin‑right middle lobe+0.014×MLDex‑left lower lobe (R2 =0.200, P<0.001), FVC% =-184.122-0.358× MLDin‑right lung-0.024× ∆ LVleft upper lobe (R2 =0.261, P<0.001). There was significant difference in TLC% between residual and non‑residual lesion groups (P<0.05), so multiple linear regression analysis was performed both in the two groups. In the non‑residual lesion group, TLC% =80.645+0.031× (R2 =0.132, P<0.001);In the residual lesion group, TLC% =-110.237-0.163× LVex‑right lower lobe MLDin‑right upper lobe-0.098×MLDex‑left upper lobe -0.025×LVex‑right lower lobe (R2 =0.473, P<0.001). Conclusion CT pulmonary function imaging can quantitatively analyze the whole lung, unilateral lung and lobulated lung, thus reflecting the regional pulmonary function, providing more valuable diagnostic information for the assessment of ulmonar function in convalescent atients with COVID‑19

12.
Frontiers in Earth Science ; 10:14, 2022.
Artigo em Inglês | Web of Science | ID: covidwho-1869357

RESUMO

The research of atmospheric aerosol in mountain glacier areas has attracted more and more people's attention. For the first time, a field observation study of total suspended particles (TSPs) for four seasons from September 2019 to August 2020 was carried out at the Tianshan Glaciological Station in the source area of Urumqi River, East Tianshan Mountains, China. The TSPs presented typical seasonal characteristics of high in autumn and low in winter, with the annual average value of 181 +/- 170 mu g m(-3). Concentrations of Ca2+, SO42-, NO3-, Cl-, NH4+ and K+, OC, EC were elevated in autumn. The influence of stationary source emissions was stronger than mobile sources, which was explained by the average ratio of NO3-/SO42- (0.31 +/- 0.17). The concentration of secondary organic carbon (SOC) was higher in summer and autumn, especially in summer, indicating that secondary formation processes of organic aerosols were frequent in summer. Impact of fossil fuel combustion sources were evident over the Glaciers, corroborated by the diagnostic mass ratios of OC/EC (0-21.4, 3.38) and K+/EC (0-0.31, 0.08). The factor analysis illustrated that aerosols were mainly affected by rock salt, dust, coal combustion, and automobile exhaust. The local sources made significant contributions to TSPs in the source of Urumqi River by the results of Results of Hybrid Single Particle Lagrangian Integrated Trajectory (HYSPLIT) model and potential source contribution function (PSCF).

14.
Nature Machine Intelligence ; 2022.
Artigo em Inglês | Scopus | ID: covidwho-1805663

RESUMO

In the version of this article initially published, the first name of Chuansheng Zheng was misspelled as Chuangsheng. The error has been corrected in the HTML and PDF versions of the article. © The Author(s) 2022.

15.
Acta Medica Mediterranea ; 38(1):395-403, 2022.
Artigo em Inglês | Scopus | ID: covidwho-1699243

RESUMO

Purpose: To examine the clinical characteristics of patients with severe and critical coronavirus disease and analyze the risk factors for progression to critical disease and adverse outcomes. Methods: Seventy-four clinical markers were analyzed. Patients were followed up until the clinical endpoint (survival or death). Subgroup analyses of severe/critical patients and survivors/deaths examined the risk factors for disease progression and patient outcomes. Results: Median patient age was 65.5 (54.0-73.0) years;64.5% were male. Thirty-two (51.6%) patients had comorbid hypertension;60 (96.8%), fever;and 5 (8.1%), diarrhea. Median lymphocyte count was significantly lower than the reference range (P<0.05);inflammatory marker levels exceeded normal ranges. The probability of comorbid diabetes was higher in the critical group than in the severe group (35.5% vs. 9.7%;P=0.031). There were 50 survivors and 12 deaths. The critical group's mortality rate was 38.7%. Intra-subgroup comparisons of severe/critical and survivor/death groups indicated patients with multiple comorbidities and elevated total white blood cell count had higher risks of progressing to critical disease (odds ratio [OR] [95% confidence interval (CI)], 2.3 [1.2-4.7], P=0.016;1.2 [1.0-1.4], P=0.017). A high SOFA score, lactic acid elevation, and a D-dimer level >2 ug/mL were risk factors for poor prognosis (OR [95% CI], 2.2 [1.0-4.8], P=0.047;3.9 [1.4-11.0], P=0.008;10.0 [1.2-84.2], P=0.033). Conclusion: Patients with multiple comorbidities and elevated total white blood cell count should be monitored closely. A high SOFA score, elevated lactate levels, and a D-dimer level of >2 ug/mL should also be considered as risk factors. © 2022 A. CARBONE Editore. All rights reserved.

16.
Nature Machine Intelligence ; 3(12):1081-1089, 2021.
Artigo em Inglês | Web of Science | ID: covidwho-1585763

RESUMO

Artificial intelligence provides a promising solution for streamlining COVID-19 diagnoses;however, concerns surrounding security and trustworthiness impede the collection of large-scale representative medical data, posing a considerable challenge for training a well-generalized model in clinical practices. To address this, we launch the Unified CT-COVID AI Diagnostic Initiative (UCADI), where the artificial intelligence (AI) model can be distributedly trained and independently executed at each host institution under a federated learning framework without data sharing. Here we show that our federated learning framework model considerably outperformed all of the local models (with a test sensitivity/specificity of 0.973/0.951 in China and 0.730/0.942 in the United Kingdom), achieving comparable performance with a panel of professional radiologists. We further evaluated the model on the hold-out (collected from another two hospitals without the federated learning framework) and heterogeneous (acquired with contrast materials) data, provided visual explanations for decisions made by the model, and analysed the trade-offs between the model performance and the communication costs in the federated training process. Our study is based on 9,573 chest computed tomography scans from 3,336 patients collected from 23 hospitals located in China and the United Kingdom. Collectively, our work advanced the prospects of utilizing federated learning for privacy-preserving AI in digital health. The COVID-19 pandemic sparked the need for international collaboration in using clinical data for rapid development of diagnosis and treatment methods. But the sensitive nature of medical data requires special care and ideally potentially sensitive data would not leave the organization which collected it. Xiang Bai and colleagues present a privacy-preserving AI framework for CT-based COVID-19 diagnosis and demonstrate it on data from 23 hospitals in China and the United Kingdom.

17.
6th International Conference on Precision Machinery and Manufacturing Technology, ICPMMT 2021 ; 2020, 2021.
Artigo em Inglês | Scopus | ID: covidwho-1470097

RESUMO

In recent years, as a result of the significant development of information and communications technology, people have been paying much attention to automated guided vehicles (AGVs). In the ongoing global coronavirus disease 2019 (COVID-19) pandemic, hospital services have been seriously impacted. In the severe medical situation in hospitals, there is a serious shortage of human resources. This paper presents a novel automated guided vehicle (AGV) for guidance and service. The AGV is comprised of a microcontroller unit (MCU), a power unit, a human sensing unit, a collision warning unit, and a path sensing unit. The motion speed of the AGV and the distance between the AGV and the person being guided are determined by the MCU, the power unit, sensors, and an algorithm. The collision warning unit comprises three ultrasonic sensors and an infrared sensor in the front of the AGV in order to avoid obstacles. The trajectory results of the planned and actual paths are in good agreement. The AGV provides safe and effective guidance for people moving towards their destination. The AGV achieves excellent guidance results and shows great potential for guidance applications in hospitals. © 2021 Institute of Physics Publishing. All rights reserved.

18.
Journal of the American College of Surgeons ; 233(5):S92-S93, 2021.
Artigo em Inglês | EMBASE | ID: covidwho-1466546

RESUMO

Introduction: General surgery trainees (GSTs) spend their prime fertility years in training. As more women enter the surgical workforce, family planning and fertility preservation considerations are of utmost relevance. The needs of fertility preservation/treatment and factors contributing to family planning decisions are unknown. This study aimed to examine potential barriers to family planning/childbearing among US GSTs. Methods: We composed and distributed a 26-question survey to all general surgery and fellowship program directors nationwide to survey GSTs. Summary and descriptive statistics were tabulated and categorical variables were analyzed using Pearson’s chi-square test or Fisher’s exact test. Results: A total of 234 US GSTs completed the survey (male 32.1%, female 66.2%, unreported 1.7%). Average age of respondents was 32.3 years. Trainee work hours (p=0.007) and female gender (p=0.002) were found to be associated with delay of childbirth. More women trainees reported having considered fertility preservation (p<0.001). Of those who answered questions regarding prohibitive factors for childbearing (n=74), balancing time (93.2%), career/education goals (63%), and cost (59.5%) were the most commonly reported prohibitive factors. More female trainees reported time (p=0.021) and career/education goals (p=0.001) as “moderately prohibitive” or “very prohibitive” compared with their male counterparts. In addition, 9% of trainees reported that their family planning was affected by the COVID pandemic. Conclusion: Balancing time and career goals are more prohibitive factors for childbearing among female GST. Institutional resources should tailor to gender-specific needs and address barriers to family planning, fertility treatment, and childbearing during surgery training. [Formula presented]

19.
Journal of Construction Engineering and Management ; 147(11), 2021.
Artigo em Inglês | Scopus | ID: covidwho-1397965

RESUMO

Retaining employees is a challenge in the construction industry. The purpose of this study is to understand how employees' career outlook affects their turnover intention in the construction industry as it can have a significant impact on long-term construction project management. Using the time-lagged two-wave data collected from construction industry employees in Lahore, Pakistan, during Covid-19, we tested the impact of negative career shocks caused by unexpected events and human factors on employees' intention to stay or leave through the underlying mechanism of career satisfaction. We also tested the moderating role of career adaptability to buffer the negative effects of career shocks on career satisfaction. The results revealed that career satisfaction mediates the relationship between career shocks and turnover intention. A slope analysis disclosed the moderating role of career adaptability, illustrating that an employee's career satisfaction would be enhanced with a higher level of adaptability toward career shocks. We discussed both theoretical and practical implications for construction employees' career outlook specifically and managing employee turnover for the construction industry broadly. © 2021 American Society of Civil Engineers.

20.
Journal of Enterprise Information Management ; 2021.
Artigo em Inglês | Scopus | ID: covidwho-1345814

RESUMO

Purpose: The COVID-19 pandemic is still raging, which calls for an exploration of how to prevent and control pandemics to promote sustainable development. The purpose of this paper is to examine the role of the digital economy in sustainable development, the relationship between the two, the impacts of the outbreak on economic and social development, and changes in China's digital economy. Design/methodology/approach: The study used the time-series data from 2002 to 2019 and an unconstrained VAR model to examine the relationship between the digital economy and sustainable development before the pandemic. Findings: China's digital economy has promoted the country's sustainable economic and social development;it has advanced rapid economic growth, improved people's living standards, increased efficient utilization of resources, and strengthened environmental protection. Research limitations/implications: Amid the pandemic, China's digital economy developed effectively;it showed strong resilience because of its unique advantages. The digital economy in China has helped the country to control the pandemic in a short period, reduced the risk of supply chain disruption, promoted China's economic growth, and ensured the orderly operation of society. Therefore, countries worldwide are encouraged to prioritize their digital economies. Originality/value: Compared with the extant literature, this study explores the sustainable supply chain in a broader sense in the context of a pandemic, and how the supply chain is influenced by the digital economy. It not only includes the stability, resilience, and viability of the supply chain in economic development but also involves aspects of people's life, resource utilization, and environmental protection. © 2021, Emerald Publishing Limited.

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