Effects of mindfulness-based stress reduction on stress response and job burnout of head nurses in the context of Coronavirus disease 2019

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.

Rapid exchange of a percutaneous gastrostomy tube during an early episode of COVID-19

We retrospectively report a case of rapid exchange of a percutaneous radiologic gastrostomy tube (balloon-occluded type catheter) via off-label use of a pigtail catheter for nutrition supply during a very early episode of coronavirus disease 2019 (COVID-19) in an outpatient clinic. This case demonstrates that minimally invasive percutaneous procedures might be provided safely and effectively under appropriate precautions for preventing COVID-19 transmission during the pandemic.Copyright © 2023, Society of Gastrointestinal Intervention.

Analysis of disease spectrum of hospitalized children during outbreak of coronavirus disease 2019 in pediatric department of a tertiary general hospital in Shanghai.

Objective To analyze the changes of disease spectrum in pediatric inpatients before and after the outbreak of coronavirus disease 2019 (COVID-19). Methods The data of gender, age, habitual residence, diagnosis and other relevant information of 1 931 hospitalized children in Department of Pediatrics, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Feb. 2019 to Jan. 2020 (1 year before the COVID-19 epidemic) and 618 hospitalized children from Feb. 2020 to Jan. 2021 (1 year after the COVID-19 epidemic) were collected. The total number, habitual residence, gender and disease spectrum of hospitalized children 1 year before and 1 year after the COVID-19 epidemic were statistically analyzed. Results The number of hospitalized children decreased by 68.00% (1 313/1 931) 1 year after the COVID-19 epidemic. The number of hospitalized children from other provinces and cities was decreased (17.80%110/618vs 29.00%560/1 931) and there was significantly difference in the distribution of habitual residence of hospitalized children between 1 year before and 1 year after the COVID-19 epidemic (P<0.01). One year after the COVID-19 epidemic, the number of children with respiratory diseases decreased by 92.04% (971/1 055), and the proportion was also decreased (13.59%84/618vs 54.63%1 055/1 931);the number of children with endocrine system diseases increased by 20.71% (29/140), and the proportion was increased (27.35%169/618vs 7.25%140/1 931);the number of children with neonatal diseases decreased by 43.01% (166/386), but the proportion was increased (35.60%220/618 vs 19.99%386/1 931). Compared with 1 year before the COVID-19 epidemic, there were significant differences in the proportions of respiratory diseases, endocrine system diseases and neonatal diseases in hospitalized children 1 year after the COVID-19 epidemic (all P<0.01). The age distribution of hospitalized children 1 year before and 1 year after the epidemic of COVID-19 was different (P<0.01), and the number of hospitalized children was also different in different seasons (P<0.05). One year after the epidemic of COVID-19, the number of hospitalized children with respiratory diseases was decreased most significantly, and the number of children with pneumonia decreased by 93.71% (655/699), with a significant difference found in the proportions of pneumonia between 1 year before and 1 year after the COVID-19 epidemic (52.38%44/84vs 66.26% 699/1 055, P<0.05). Compared with 1 year before the COVID-19 epidemic, the proportion of endocrine system diseases such as short stature/growth retardation was decreased and the proportion of precocious puberty/early puberty development was increased 1 year after the COVID-19 epidemic (P<0.05). Conclusion The COVID-19 epidemic has led to a significant decrease in hospitalized children in department of pediatric, especially in the proportion of respiratory diseases, but it has led to an increase in hospitalized children with endocrine system diseases, suggesting that epidemic prevention and control measures can effectively reduce respiratory diseases requiring hospitalization, but may increase precocious puberty and early puberty development. These changes should be considered by department of pediatrics in general hospitals.Copyright © 2022, Second Military Medical University Press. All rights reserved.

Analysis of disease spectrum of hospitalized children during outbreak of coronavirus disease 2019 in pediatric department of a tertiary general hospital in Shanghai

Objective To analyze the changes of disease spectrum in pediatric inpatients before and after the outbreak of coronavirus disease 2019 (COVID-19). Methods The data of gender, age, habitual residence, diagnosis and other relevant information of 1 931 hospitalized children in Department of Pediatrics, The First Affiliated Hospital of Naval Medical University (Second Military Medical University) from Feb. 2019 to Jan. 2020 (1 year before the COVID-19 epidemic) and 618 hospitalized children from Feb. 2020 to Jan. 2021 (1 year after the COVID-19 epidemic) were collected. The total number, habitual residence, gender and disease spectrum of hospitalized children 1 year before and 1 year after the COVID-19 epidemic were statistically analyzed. Results The number of hospitalized children decreased by 68.00% (1 313/1 931) 1 year after the COVID-19 epidemic. The number of hospitalized children from other provinces and cities was decreased (17.80%[110/618]vs 29.00%[560/1 931]) and there was significantly difference in the distribution of habitual residence of hospitalized children between 1 year before and 1 year after the COVID-19 epidemic (P<0.01). One year after the COVID-19 epidemic, the number of children with respiratory diseases decreased by 92.04% (971/1 055), and the proportion was also decreased (13.59%[84/618]vs 54.63%[1 055/1 931]);the number of children with endocrine system diseases increased by 20.71% (29/140), and the proportion was increased (27.35%[169/618]vs 7.25%[140/1 931]);the number of children with neonatal diseases decreased by 43.01% (166/386), but the proportion was increased (35.60%[220/618] vs 19.99%[386/1 931]). Compared with 1 year before the COVID-19 epidemic, there were significant differences in the proportions of respiratory diseases, endocrine system diseases and neonatal diseases in hospitalized children 1 year after the COVID-19 epidemic (all P<0.01). The age distribution of hospitalized children 1 year before and 1 year after the epidemic of COVID-19 was different (P<0.01), and the number of hospitalized children was also different in different seasons (P<0.05). One year after the epidemic of COVID-19, the number of hospitalized children with respiratory diseases was decreased most significantly, and the number of children with pneumonia decreased by 93.71% (655/699), with a significant difference found in the proportions of pneumonia between 1 year before and 1 year after the COVID-19 epidemic (52.38%[44/84]vs 66.26% [699/1 055], P<0.05). Compared with 1 year before the COVID-19 epidemic, the proportion of endocrine system diseases such as short stature/growth retardation was decreased and the proportion of precocious puberty/early puberty development was increased 1 year after the COVID-19 epidemic (P<0.05). Conclusion The COVID-19 epidemic has led to a significant decrease in hospitalized children in department of pediatric, especially in the proportion of respiratory diseases, but it has led to an increase in hospitalized children with endocrine system diseases, suggesting that epidemic prevention and control measures can effectively reduce respiratory diseases requiring hospitalization, but may increase precocious puberty and early puberty development. These changes should be considered by department of pediatrics in general hospitals.Copyright © 2022, Second Military Medical University Press. All rights reserved.

Blended teaching of medical parasitology in China during COVID-19 pandemic.

The COVID-19 pandemic has promoted the development of online teaching in various educational institutions. Different online teaching practice has shown advantages and potential problems. The combination of online and offline teaching (mixed teaching) is a new teaching practice that can exert its advantages simultaneously, and has been wildly used during the COVID-19 pandemic, even being extended to the post-pandemic era. Medical parasitology is a foundation course for medicine and a bridging course towards clinical medicine and preventive medicine. The traditional teaching of medical parasitology has presented many limitations, including outdated teaching concepts and practices, and the disconnection between theory teaching and practice teaching. In response to these difficulties, many innovative ideas and measures have been taken o reform the teaching practice of the foundation medical courses, including updating teaching program, adopting innovative teaching practice (such as blended teaching), and promoting the teaching evaluation method. In this paper, we concluded the blended teaching tools, platforms, manners, effects and evaluation methods in medical parasitology in China during the COVID-19 pandemic to provide information for the teaching reform in the post-pandemic era.Copyright © 2022, National Institute of Parasitic Diseases. All rights reserved.

Machine learning uncovers blood test patterns subphenotypes at hospital admission discerning increased 30-day ICU mortality rates in COVID-19 elderly patients

Introduction: Since March 2020, a number of SARS-CoV-2 patients have frequently required intensive care unit (ICU) admission, associated with moderate survival outcomes and an increasing economic burden. Elderly patients are among the most numerous, due to previous comorbidities and complications they develop during hospitalization [1]. For this reason, a reliable early risk stratification tool could help estimate an early prognosis and allow for an appropriate resources allocation in favour of the most vulnerable and critically ill patients. Method(s): This retrospective study includes data from two Spanish hospitals, HU12O (Madrid) and HCUV (Valencia), from 193 patients aged > 64 with COVID-19 between February and November 2020 who were admitted to the ICU. Variables include demographics, full-blood-count (FBC) tests and clinical outcomes. Machine learning applied a non-linear dimensionality reduction by t-distributed stochastic neighbor embedding (t-SNE) [2];then hierarchical clustering on the t-SNE output was performed. The number of clinically relevant subphenotypes was chosen by combining silhouette and elbow coefficients, and validated through exploratory analysis. Result(s): We identified five subphenotypes with heterogeneous interclustering age and FBC patterns (Fig. 1). Cluster 1 was the 'healthiest' phenotype, with 2% 30-day mortality and characterized by moderate leukocytes and eosinophils. Cluster 5, the severe phenotype, showed 44% 30-day mortality and was characterized by the highest leukocyte, neutrophil and platelet count and minimal monocytes and lymphocyte count. Clusters 2-4 displayed intermediate mortality rates (20-28%). Conclusion(s): The findings of this preliminary report of Eld-ICUCOV19 patients suggest the patient's FBC and age can display discriminative patterns associated with disparate 30-day ICU mortality rates.

Robotization and labour demand in post-pandemic era: Microeconomic evidence from China

We study how robotization, namely the "machine substitution” policy, impacts firms' labour demand in the post pandemic era. Using a unique firm-level data set of online job postings in Dongguan, known as "The World Factory” in China, we find that "machine substitution” policy fosters the funded firms to expand their labour demand. The expansion is mainly driven by the growing demand for manufacturing workers, which offsets the reduced demand for service workers. Also, the expansion can be attributed to an increase in the number of employees listed in job postings rather than an increase in position types. Further analysis suggests that this positive impact is mainly attributable to the productivity effect rather than the restatement effect. Furthermore, there is no evidence of heterogeneity by sector or firm size but the effect of the policy varies by regional epidemic severity. Our results not only reveal the labour demand in the Covid-19 but also provide prominent implications for occupational security and steady economic growth. © 2023 Elsevier Inc.

From Small to Big: Smartwatch Use in Mitigating COVID-19 - Understanding User Experience from Social Media Content Analysis

Smartwatches offer both functions and convenience that can have great potentials for technological interventions. Despite widespread discussion of technological interventions for COVID-19, smartwatch use has received little attention in the literature. This research aims to fill the literature gap by providing a broad understanding of smartwatch use for COVID-19 mitigation. We investigate smartwatch use through content analysis of the data collected from two social media platforms. The method allows us to draw on user experience beyond technological features and functions. In addition to functions, we also identified the concerns of using smartwatches for mitigating COVID-19. Furthermore, we uncovered both similarities and differences between the different social media platforms in terms of functions and concerns of smartwatch use. Our findings have implications for various stakeholders of the smartwatch technology and for mitigating the impact of the pandemic. © 2022 IEEE Computer Society. All rights reserved.

Internet Governance: Social Mentality and Public Emotion Analysis on Online Media during the COVID-19 Epidemic in Mainland China

Based on a systematical discussion of the logical relationship between social mentality as a psychological basis of social actions and institutions and social governance, and the online emotion as the core element of the dynamic tendency of internet-based social mentality to form emotional energy to promote the operation of the internet society, this paper conducts an empirical study on the online social mentality and public sentiment guidance during the COVID-19 epidemic in mainland China. We use more than 1 million Weibo dynamic data of 104 accounts of three different types including official media, self-media, and big V media and conduct emotional calculation and judgment to address our objectives. The results show that the public sentiment presented by Weibo as the carrier is mainly positive, among which the official media play a positive role in guiding emotions, while the role played by big Vs' is limited during the COVID-19 epidemic. There exists different public sentiment stemmed from the regional differences brought by the heterogeneity of social governance, economic and social development beyond the media guidance. The study provides valuable internet governance experience on how the government can guide the public to respond to and deal with the crisis with a positive attitude when major public health emergencies occur in the future. © 2022 IEEE.

User Sentiment Analysis of COVID-19 via Adversarial Training Based on the BERT-FGM-BiGRU Model

With the rapid development of social network platforms, Sina Weibo has become the main carrier for modern netizens to express public views and emotions. How to obtain the tendency of public opinion and analyze the text's emotion more accurately and reasonably has become one of the main challenges for the government to monitor public opinion in the future. Due to the sparseness of Weibo text data and the complex semantics of Chinese, this paper proposes an emotion analysis model based on the Bidirectional Encoder Representation from Transformers pre-training model (BERT), Fast Gradient Method (FGM) and the bidirectional Gated Recurrent Unit (BiGRU), namely BERT-FGM-BiGRU model. Aiming to solve the problem of text polysemy and improve the extraction effect and classification ability of text features, this paper adopts the BERT pre-training model for word vector representation and BiGRU for text feature extraction. In order to improve the generalization ability of the model, this paper uses the FGM adversarial training algorithm to perturb the data. Therefore, a BERT-FGM-BiGRU model is constructed with the goal of sentiment analysis. This paper takes the Chinese text data from the Sina Weibo platform during COVID-19 as the research object. By comparing the BERT-FGM-BiGRU model with the traditional model, and combining the temporal and spatial characteristics, it further studies the changing trend of user sentiment. Finally, the results show that the BERT-FGM-BiGRU model has the best classification effect and the highest accuracy compared with other models, which provides a scientific method for government departments to supervise public opinion. Based on the classification results of this model and combined with the temporal and spatial characteristics, it can be found that public sentiment is spatially closely related to the severity of the pandemic. Due to the imbalance of information sources, the public showed negative emotions of fear and worry in the early and middle stages, while in the later stage, the public sentiment gradually changed from negative to positive and hopeful with the improvement of the epidemic situation. © 2023 by the authors.

Diagnosis and treatment strategies for rupture and hemorrhage of primary liver cancer under the epidemic situation of novel coronavirus pneumonia

In period of the epidemic of novel coronavirus pneumonia (NCP;WHO named as COVID-19), how to deal with the life-threatening rupture and hemorrhage of the primary liver cancer (PLC) is one of the urgent clinical problems that have to be solved. The authors think that the treatment of this condition must be undertaken by following the standard operating procedures and with sufficient prevention and protection based on the premise of COVID-19 screening. For those with suspected or confirmed COVID-19, the treatment scenarios should be carefully designed and approaches should be tailored to individual patient based on the integrated consideration of the clinical classification of COVID-19, the degree of rupture and hemorrhage of PLC as well as the tumor and liver function conditions. The general principle is that not only the safety and efficacy must be guaranteed to the patients, and the infectious risks also should be minimized to the healthcare workers. © 2020 Authors. All rights reserved.

The effects of perceived organizational support on employees' sense of job insecurity in times of external threats: an empirical investigation under lockdown conditions in China

This study examines how perceived organizational support (POS) can be leveraged to provide employees with guided responses to disruptive events. Specifically, this study addresses a previously overlooked yet practically relevant aspect of POS—its communicative role in managing employees' feelings of job insecurity. Drawing on the social identity perspective and research on individuals' psychological states of uncertainty, we argue that POS can have both direct and indirect influences on the sense of job insecurity in times of external threats. With this in mind, we used COVID-19 and resulting lockdowns in China as specific context examples of a disruptive event to administer a two-wave lagged survey measuring POS, perceived control, lockdown loneliness, and job insecurity. Theoretical arguments are put forward regarding organizational support for fostering individuals' social identity and emotional well-being under deeply disruptive work situations. Overall, this study offers insights into how managers may develop risk management and organizationally adaptive practices. © 2023, Springer Nature Limited.

Surface Subsidence Characteristics and Causes in Beijing (China) before and after COVID-19 by Sentinel-1A TS-InSAR

Surface subsidence is a serious threat to human life, buildings and traffic in Beijing. Surface subsidence is closely related to human activities, and human activities in Beijing area showed a decreasing trend during the Corona Virus Disease 2019 (COVID-19). To study surface subsidence in Beijing before and after the COVID-19 outbreak and its causes, a total of 51 Sentinel-1A SAR images covering Beijing from January 2018 to April 2022 were selected to derive subsidence information by Time Series Interferometry Synthetic Aperture Radar (TS-InSAR). The results of surface subsidence in Beijing demonstrate that Changping, Chaoyang, Tongzhou and Daxing Districts exhibited the most serious subsidence phenomenon before the COVID-19 outbreak. The four main subsidence areas form an anti-Beijing Bay that surrounds other important urban areas. The maximum subsidence rate reached −57.0 mm/year. After the COVID-19 outbreak, the main subsidence area was separated into three giant subsidence funnels and several small subsidence funnels. During this period, the maximum subsidence rate was reduced to −43.0 mm/year. Human activity decrease with the COVID-19 outbreak. This study effectively analysed the influence of natural factors on surface subsidence after excluding most of the human factors. The following conclusions are obtained from the analysis: (1) Groundwater level changes, Beijing's geological structure and infrastructure construction are the main reasons for surface subsidence in Beijing. (2) Seasonal changes in rainfall and temperature indirectly affect groundwater level changes, thereby affecting surface subsidence in the area. (3) The COVID-19 outbreak in early 2020 reduced the payload of Beijing's transportation facilities. It also slowed down the progress of various infrastructure construction projects in Beijing. These scenarios affected the pressure on the soft land base in Beijing and reduced the surface subsidence trend to some extent. © 2023 by the authors.

Levels of peripheral IL-6 and CD4+ and CD8+ T cells and their prognostic significance in COVID-19.

OBJECTIVE: The aim of this study was to discuss the prognostic significance of peripheral interleukin-6 (IL-6) and CD4+ and CD8+ T cells in COVID-19. PATIENTS AND METHODS: Eighty-four COVID-19 patients were retrospectively analyzed and classified into three groups, including the moderate group (15 cases), the serious group (45 cases), and the critical group (24 cases). The levels of peripheral IL-6, CD4+, and CD8+ T cells and CD4+/CD8+ were determined for each group. It was assessed whether these indicators were correlated to the prognosis and death risks of COVID-19 patients. RESULTS: The three groups of COVID-19 patients differed significantly in the levels of peripheral IL-6 and CD4+ and CD8+ cells. The IL-6 levels in the critical, moderate, and serious groups were increased successively, but the changed levels of CD4+ and CD8+ T cells were just opposite to that of IL-6 (p<0.05). The peripheral IL-6 level increased dramatically in the death group, while the levels of CD4+ and CD8+ T cells decreased significantly (p<0.05). The peripheral IL-6 level was significantly correlated with the level of CD8+ T cells and CD4+/CD8+ ratio in the critical group (p<0.05). The logistic regression analysis indicated a dramatic increase in the peripheral IL-6 level in the death group (p=0.025). CONCLUSIONS: The aggressiveness and survival of COVID-19 were highly correlated with the increases in IL-6 and CD4+/CD8+ T cells. The fatalities of COVID-19 individuals remained at increased incidence due to elevated peripheral IL-6 levels.

A review on indoor airborne transmission of COVID-19– modelling and mitigation approaches

In the past few years, significant efforts have been made to investigate the transmission of COVID-19. This paper provides a review of the COVID-19 airborne transmission modeling and mitigation strategies. The simulation models here are classified into airborne transmission infectious risk models and numerical approaches for spatiotemporal airborne transmissions. Mathematical descriptions and assumptions on which these models have been based are discussed. Input data used in previous simulation studies to assess the dispersion of COVID-19 are extracted and reported. Moreover, measurements performed to study the COVID-19 airborne transmission within indoor environments are introduced to support validations for anticipated future modeling studies. Transmission mitigation strategies recommended in recent studies have been classified to include modifying occupancy and ventilation operations, using filters and air purifiers, installing ultraviolet (UV) air disinfection systems, and personal protection compliance, such as wearing masks and social distancing. The application of mitigation strategies to various building types, such as educational, office, public, residential, and hospital, is reviewed. Recommendations for future works are also discussed based on the current apparent knowledge gaps covering both modeling and mitigation approaches. Our findings show that different transmission mitigation measures were recommended for various indoor environments;however, there is no conclusive work reporting their combined effects on the level of mitigation that may be achieved. Moreover, further studies should be conducted to understand better the balance between approaches to mitigating the viral transmissions in buildings and building energy consumption. © 2022

Big Data Statistics of Logistics Warehousing Supply and Demand in Key Cities of Central and Western China Based on Baidu Index and Warehouse in Cloud

Based on the Baidu Index, taking "warehousing"and "warehouse"as the keywords, the Baidu search index of "warehousing"and "warehouse"nationwide is statistically analyzed. It is found that the Baidu search index with "warehousing"and "warehouse"as the keywords has significantly increased before and after the COVID-19 epidemic, which shows that the basic role of logistics warehousing in the national economic and social development is increasingly obvious, and the corresponding demand for logistics warehousing is growing. Based on the big data of Warehouse in Cloud, incomplete statistics of "warehousing demand"of "demand location"in China's provinces are similar to the analysis of differences in the source places (regions and provinces) of different search groups through the "population portrait"of Baidu Index. The "warehousing demand"and "warehousing supply"of the key cities in central and Western China are counted. Focusing on the key cities in central and Western China, the correlation analysis of warehousing rent and demand area is carried out. It is found that, on the one hand, the regional logistics warehousing demand is 3 years (the lease term is less than 1 year or 1-3 years), with intra-period volatility. On the other hand, regional centers (National Central Cities) have absolute advantages in the attraction of regional logistics and warehousing. Furthermore, in recent years, due to the impact of the COVID-19 epidemic and extreme meteorological and geological disasters, the adverse impact on the regional economic and social development will show that the demand for logistics and warehousing will be interrupted, reduced and lagged, and the growth will be restored in subsequent years. The average rent of key cities in Western China is 22.52 yuan/m2·month, the average vacancy rate is 11.65%, and there are 1359 warehouses in the park. The average rent of key cities in the central region is 23.5 yuan/m2·month, the average vacancy rate is 13.86%, and there are 1070 warehouses in the park. From the perspective of rent, Changsha shows the highest rent, while Taiyuan shows the lowest rent. Furthermore, the vacancy rate of Chongqing and Xi'an are the highest and lowest, respectively. There is a correlation between the variable of warehousing rent in 2022 and the total retail sales of consumer goods in 2021 (Spearman correlation coefficient is significant). There is a correlation between the variable of average warehousing demand area in 2019-2021 and the sample of the third industry production value in 2021 and the sample variable of total import and export volume of goods in 2021 (Pearson correlation coefficient is significant). The variable of average warehousing demand area in 2019-2021 and the sample variable of resident population. There is a correlation between the total retail sales of social consumer goods in 2021 (Spearman correlation coefficient is significant). On the one hand, the statistical analysis of big data on the digital warehousing information platform can provide reference for the prediction of supply and demand of logistics warehousing and modern logistics service industry in the high-quality development of the region. On the other hand, the spatial econometric analysis of logistics industry and regional economic growth represented by logistics warehousing needs further research. CCS CONCEPTS •Human-centered computing ∼Collaborative and social computing ∼Collaborative and social computing theory, concepts and paradigms ∼Computer supported cooperative work © 2022 ACM.