Deploying the Minimum Number of Rechargeable UAVs for a Quarantine Barrier

To control the rapid spread of COVID-19, we consider deploying a set of Unmanned Aerial Vehicles (UAVs) to form a quarantine barrier such that anyone crossing the barrier can be detected. We use a charging pile to recharge UAVs. The problem is scheduling UAVs to cover the barrier, and, for any scheduling strategy, estimating theminimum number of UAVs needed to cover the barrier forever. We propose breaking the barrier into subsegments so that each subsegment can be monitored by a single UAV. We then analyze two scheduling strategies, where the first one is simple to implement and the second one requires fewer UAVs. The first strategy divides UAVs into groups with each group covering a subsegment. For this strategy, we derive a closed-form formula for the minimum number of UAVs. In the case of insufficient UAVs, we give a recursive function to compute the exact coverage time and give a dynamic-programming algorithm to allocate UAVs to subsegments to maximize the overall coverage time. The second strategy schedules all UAVs dynamically. We prove a lower and an upper bound on the minimum number of UAVs. We implement a prototype system to verify the proposed coverage model and perform simulations to investigate the performance.

Diagnosis and treatment of spontaneous splenic rupture associated with severe acute respiratory syndrome coronavirus 2. TT -.

Coronavirus disease 2019 (COVID - 19)is an acute viral disease caused by severe acute respiratory syndrome coronavirus 2 (SARS - CoV - 2)infection and is mainly transmitted through the respiratory tract. It not only invades the respiratory system of human body, but also damages various organs and systems. Evidence has shown that there may be a causal association between SARS - CoV - 2 and spontaneous splenic rupture. This article recognizes the possibility of SARS - CoV - 2 - associated spontaneous splenic rupture and discusses its pathogenesis and related diagnosis and treatment regimens, so as to avoid missed diagnosis and misdiagnosis in clinical practice.Copyright © 2022 by the Author(s).

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

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

Research progress on drugs for the treatment of COVID-19

At present, coronavirus disease-19 (COVID-19) caused by novel coronavirus (SARS-CoV-2) has been spreading around the world, but no specific therapeutic drug or vaccine has been developed for the virus. By collecting the latest literature and searching related database websites, the biological characteristics and main targets of SARS-CoV-2, the clinical therapeu tic drugs and the latest drug research were reviewed to provide information for clinical treatment and provide reference for the research and development of new drugs against SARS-CoV-2.Copyright © 2020 Publication Centre of Anhui Medical University. All rights reserved.

The Effect of Senate Bill-159 on the Provision of Hiv Pre- and Post-Exposure Prophylaxis in Sacramento, California

Purpose of Study: The passing of Senate Bill (SB)-159 in May, 2019 allows California pharmacies to provide HIV pre-exposure (PrEP) & post-exposure prophylaxis (PEP) to patients without a physician's prescription. The goal of this study is to investigate whether Sacramento pharmacies are familiar with SB-159 and carry PrEP/PEP, evaluate SB-159's progress over the past three years, and elucidate possible avenues for further improvement in implementation. Methods Used: This study reports findings from surveys of state-licensed pharmacies in Sacramento conducted in 2020-2021 (Year 1) and 2022-2023 (Year 2) using an IRB-approved script. The script assessed the pharmacy's stock, promotion of PrEP/PEP, and familiarity with SB-159. Surveys for Year 2 are still ongoing. Respondent pharmacies were identified as carriers or non-carriers based on whether they carried prophylaxis. Respondents that scored a familiarity >= 3 for SB-159 were assigned as "familiar." The survey also investigated reasons for not furnishing Prophylaxis, advertising of Prophylaxis without prescription, comfort with dispensing protocol, and future plans for staff training to dispense Prophylaxis. Summary of Results: We first examined if pharmacies in Sacramento, California carried stock of PEP/PrEP. In Year 1 (2020-21), 14% of surveyed pharmacies reported carrying PEP/PrEP (7 out of 50). In Year 3 (2022-2023), this increased to 62% (24 out of 39 surveyed pharmacies). Next, we examined the familiarity of pharmacies and pharmacists with SB-159. In Year 1, 43% of carriers (3/7) and 16% of non-carriers (7/43) were familiar with SB-159. By Year 3, pharmacies were more familiar with the law, with 67% of carriers (16/24) and 54% of non-carriers (7/13) reporting to be familiar with SB-159. Finally, we examined whether the pharmacies advertised the ability to obtain PEP/PrEP prophylaxis without a prescription. In Year 1, 28.6% of carriers and 6.98% of non-carriers stated they advertise the ability to obtain PEP/PrEP prophylaxis without a prescription. In Year 3, the values decreased to 4.2% and 0%, respectively. Conclusion(s): Compared to Year 1, there was an increase in the percent of Year 3 pharmacies surveyed that stock PrEP/PEP. However, data from the past 2 years show that carriers and non-carriers showed similar responses to questions related to familiarity with SB-159 and advertising. Taken together, this would suggest that the passing of SB-159 has increased access to HIV PrEP/PEP, yet has not significantly improved pharmacy advertising and awareness. Possible explanations include the focus that pharmacies have put into vaccination efforts against the COVID 19 pandemic instead of fulfilling SB-159. Future studies should include survey questions that objectively assess a pharmacy's familiarity with SB-159, and follow up with pharmacies that plan to implement training for their staff to dispense PrEP/PEP.

Echocardiographic assessment of left ventricular structure and function in hypertensive disorders of pregnancy at six months and two years postpartum

Purpose: Hypertensive disorders of pregnancy (HDP) are associated with longer term postpartum cardiovascular sequelae, including double the risk of ischaemic heart disease and cardiovascular mortality (1). Transthoracic echocardiograms (TTE) were performed in women with pregnancies complicated by gestational hypertension and pre-eclampsia, or uncomplicated pregnancy, at six months and two years postpartum. The aim was to longitudinally assess cardiac structure and function in women with HDP and compare this to women who had a normotensive pregnancy. The six-month results have been previously reported, we now present the two-year data. Method(s): A prospective cohort study was conducted in a pre-specified subgroup of 126 patients within a single, tertiary referral centre as part of the P4 (Post Partum, Physiology, Psychology, and Paediatric Follow Up) study (2). 74 (59%) women had a normotensive pregnancy, and 52 (41%) had a pregnancy complicated by HDP. Women with pre-existing hypertension were excluded from the study. The mean patient age at time of six-month postpartum TTE was 32 years (range 22-47 years). TTEs were performed by blinded experienced sonographers and reported by a single blinded imaging cardiologist. Result(s): Six months postpartum. 126 women underwent TTE at six months postpartum. Although all results fell within normal ranges, compared to women with a normotensive pregnancy, those with HDP had increased left ventricle (LV) wall thickness, higher relative wall thickness, and increased LV mass. E/A ratio was lower, and E/E' ratios higher in the group with pregnancy complicated by HDP, indicating a trend towards poorer diastolic function (2,3). Two years postpartum. 35 women completed a two year postpartum TTE (18 normotensive, 17 HDP). Measurements fell within normal ranges in both groups of women. At two years postpartum, women with HDP had larger BSA (1.9 vs 1.71 2 p=0.003), larger LV internal diastolic diameter (48.4 vs 45.5mm p=0.017) and increased inter-ventricular septum thickness (8.5 vs 7.7mm p=0.007) compared to those with normotensive pregnancy. LV mass was greater in women with HDP (98.1 vs 81.5g), as was LA volume indexed (25.4 vs 23.4 cm3/m3), however these differences did not reach significance (p=0.053 and 0.196 respectively). Compared to normotensive women, those with HDP had higher septal (8.7 vs 7.3 p=0.014) and lateral (6.6 vs 5.4 p=0.017) E/E' ratios, indicating a trend towards diastolic dysfunction. Conclusion(s): Despite measurements falling within normal ranges, our results indicate that women with HDP have changes in cardiac structure and function that persist out to two years postpartum. Limitations exist due to incomplete follow up, leading to small sample size;this was partially due to restrictions on service provision in the context of the COVID-19 pandemic. (Table Presented).

Hedging effectiveness of bitcoin and gold: Evidence from G7 stock markets

Geopolitical uncertainty creates huge pressure on financial markets, forcing decision-makers and investors to analyze risks and manage their investment portfolios. Against this background, this study investigates the risk-hedging effects of Bitcoin and Gold in the stock markets of the G7 countries. The research focuses on the period from January 5, 2017 to June 30, 2022, covering a significant portion of the COVID-19 pandemic and the Russo-Ukrainian War. The study utilizes wavelet analysis to analyze the hedging effects in the time–frequency domain, allowing for a more in-depth analysis. The findings show that bitcoin provides stronger short-term risk hedging in the G7 stock markets compared to gold during the COVID-19 and Russo-Ukrainian War periods, making a valuable contribution to the limited existing literature on the topic. © 2023 Elsevier B.V.

Research and Application of 5G Edge AI in Medical Industry

With the development of 5G and AI technology, the infectious virus detection framework system based on the combination of 5G MEC and medical sensors can effectively assist in the intelligent detection and control of influenza viruses such as COVID-19. Employing the edge computing and 5G+MEC model, the virus AI model is trained for the collected influenza virus data. Then the virus AI model can be used to evaluate the virus patients on the local edge computing service platform. Therefore, this paper introduces an algorithm and resource allocation, which uses 5G functions (especially, low latency, high bandwidth, wide connectivity, and other functions) to achieve local chest X-ray or CT scan images to detect COVID-19. Meanwhile, this paper also compares the computational efficiency of different algorithms in the 5G edge AI-based infectious virus detection framework, in this way to select the best algorithm and resource allocation. © 2022 IEEE.

A comprehensive study on the pyrolysis behavior of pine sawdust catalyzed by different metal ions under conventional and microwave heating conditions

The Russia-Ukraine conflict and the COVID-19 pandemic have made fossil energy more urgent, and the catalytic pyrolysis of biomass is conducive to energy transformation to achieve global sustainable development. In this paper, the influence mechanisms of different metal ions on biomass pyrolysis under conventional heating and microwave heating conditions were studied. Through thermogravimetric analysis, it was found that the existence of metal ions could change the pyrolysis behaviors of biomass, leading to different degrees of changes in the main pyrolysis temperature and range. Compared with conventional heating conditions, metal ion-loaded biomass samples exhibited higher heating rates under microwave heating conditions due to the possible hotspot phenomenon, resulting in increased gas yields and decreased bio-oil yields. Among them, the trivalent iron ion exhibited excellent catalytic properties for gas generation, with a high gas yield of 57.9% and a bio-oil yield of 12.1%. The components in bio-oil were greatly simplified by microwave irradiation, the number of the bio-oil compounds from the pyrolysis of Fe-loading pine sawdust was reduced to 77, and the GC-MS area of light compounds with carbon number less than 10 was increased to 84.4%. Phenol and furan in bio-oil are also catalytically converted into aromatic hydrocarbons, which are ideal chemical raw materials. © 2023 Elsevier Ltd

Variations of air pollutant response to COVID-19 lockdown in cities of the Tibetan Plateau

Coronavirus Disease 2019 (COVID-19) accidentally appeared in Tibet on August 7, 2022, and broke the 920 consecutive epidemic-free days. The cities in Tibet completely kept lockdown to restrict the public to homes. It provided a valuable opportunity for understanding how variations of urban air pollutants responded to the COVID-19 lockdown in the special highland cities of the third polar. Compared with the global COVID-19 restrictions in 2020, a slightly negative O3 anomaly and greater PM2.5 and NO2 reductions were found. The study showed PM10 (−65%) < NO2 (−53%) < PM2.5 (−52%) < O3 (−15%) < CO (−11%) < SO2 (10%) in the Tibetan Lockdown 2022. The total gaseous oxidant (Ox = NO2 + O3) decreased 18% in the Tibetan Lockdown 2022, but showed a limited change in the Lockdown 2020. Moreover, the diurnal profiles of NO2 and PM10 disappeared and the diurnal profiles of Ox, PM2.5, and PM2.5/CO became weakened. Via the random forest model-based weather normalization technique, we obtained the decoupled meteorological effects 1.3 ± 0.6 times higher than the net emission reduction due to the Tibetan Lockdown 2022. Meanwhile, we found that the deweathered PM2.5 was mainly from residential combustion emissions due to the weak industrialization in Tibet. Here we roughly estimated that vehicle-related sources can contribute about 28% and 29% to PM2.5 and NO2 in urban cities of Tibet respectively. For eco-vulnerability protection and sustainable development in Tibet, more attention should be paid to reducing the more intensive local pollutant emissions from vehicles and residential combustion of urban cities. © 2023 The Royal Society of Chemistry.

Evaluation and Prediction of COVID-19 Case Fatality Rates from 156 countries

Background: Understanding the key factors affecting case fatality rates (CFRs) of COVID-19 is essential to guiding national response to pandemics. We aimed to investigate the country and period features of CFR in COVID-19 and predict the changes in CFR. Method(s): Cross-temporal and cross-country variations in CFR were identified by Extreme Gradient Boosting models using multiple features, and the effects of features were explained by applying SHapley Additive exPlanations. Result(s): The determinants of CFR changed during the COVID-19 pandemic from health conditions to a mixed effect dominated by vaccination rates (Fig 1). Overall, most countries have concurrent risk factors besides the main risk factors, and 156 countries were grouped into five clusters based on key CFR risk factors (Fig 1). A low vaccination rate drove cluster 1 was found primarily in sub-Saharan Africa and Latin America. Aging drove cluster 2, primarily distributed in the high-income European countries, and a high burden of disease characterises cluster 3 and low GDP related cluster 4 were scattered across continents. Furthermore, simulating a 5% increase in vaccination rates resulted in a 31.2% and 15.0% change in CFR for cluster 1 and cluster 3, respectively, but only 3.1% for cluster2. (Fig 1). Conclusion(s): The features affecting COVID-19 CFRs show diversity across countries, and declining CFRs require more than increasing vaccination coverage. (Figure Presented).

Fatigue detection for public transport drivers under the normalization of epidemic prevention

Several studies have shown that fatigue driving is one of the important causes of public transport safety accidents. With the outbreak of the COVID-19, the wearing of masks by public transport drivers presents new challenges for computer-based visual fatigue detection. In order to achieve the goal of accurately capturing the landmark information of the face even when the face is occluded by a large area, we adopt the DNN-based face detection method which has the highest accuracy and the best occlusion resistance. When the driver's face is blocked, the landmark information of the blocked face can be accurately detected by using our optimized face landmark detector. The accuracy rate of landmark recognition can reach 97.80%. On this basis, we calculate the driver's eye information, mouth information and the driver's head deflection angle information in real time as the judgment indicators of the degree of fatigue to comprehensively evaluate the driver's fatigue state. And use mathematical methods to fuse indicators in real time, classify the driver's fatigue state according to the value of the fusion indicators, and adopt different early warning methods for different levels of fatigue. In addition, in order to further improve the accuracy of the detection results and exclude the influence of other facial behaviors on our fatigue judgment indicators, we propose a kinetic energy calculation formula for facial organs based on the improved optical flow method. According to the different kinetic energy of facial organs in different states, which can accurately distinguish the different behaviors of the same facial organs such as blinking and closing eyes, yawning and speaking, which significantly increases the robustness and generalization ability of the detection program. The final experimental results show that the correct rate of the method for determining the degree of fatigue of the driver and passengers can reach 98.40% and 92.30% respectively when the driver does not wear a mask or wears a mask. © 2022 IEEE.

Enhance Supply Chain Resilience through Industry 4.0-A view of designing simulation scenarios

COVID-19 pandemic and the Ukraine war demonstrate the inevitability of supply chain disruptions. A lack of effective supply chain resilience (SCR) causes mismatches between demand and supply, and the destabilization of normal operational policies in production, distribution, and inventory control. Existing research mainly provides different definitions and measurements of supply chain resilience for different product supply chains. In this paper, we look at how Industry 4.0 (14.0) technologies enhance supply chain resilience. An 14.0 enabled architecture is designed for a factory with multiple suppliers and extended inventory for improving SCR. Different simulation scenarios for a LED factory are designed for demonstrating 14.0 technologies supporting SCR in different phases. © 2022 IEEE.

A YOLOv5-based Target Detection Algorithm Design

At the beginning of 2020 Gengzi, a new coronavirus pneumonia (COVID - 19) that swept the world from the sky ravaged the land of God. In order to effectively organize the massive spread of the epidemic, this paper proposes a system that combines YOLOv5 to provide detection of faces wearing masks. The system is in a situation where one or more persons wearing masks in different scenarios can be detected. The design first uses a collection of mask face data under a variety of different wearing conditions and obtains a trained detection model using the above method to achieve the detection of whether a face is wearing a mask. The detection system can effectively detect the face mask wearing situation detected in the local picture elements, local video elements and the camera real- time shooting screen. The recognition effect of the system is verified to be 0.945, which is a significant improvement compared with other algorithms. © 2022 IEEE.

Detection of Breast Milk and Amniotic Fluid in Late Pregnant Women with Asymptomatic Infection of Coronavirus Disease 2019: Case Report

It was to explore the clinical characteristics of late pregnant women with asymptomatic infection of coronavirus disease 2019 (COVID-19) and the risk of intrauterine vertical transmission and breastfeeding transmission. The clinical data of a late pregnant woman with COVID-19 were retrospectively analyzed. The patient (singleton, cephalic) was admitted to the hospital on April 3, 2022. The patient had a dramatic increase in C-reactive protein after delivery, other blood routine tests were unremarkable, and the result of nucleic acid test was positive. On April 13, 2022, due to oligohydramnios, under measures such as positive pressure headgear and protective clothing in negative pressure operating room, second cesarean section combined with hysterorrhaphy (emergency) was performed to terminate the pregnancy, and the mother and baby were in good condition. Postpartum amniotic fluid, milk, and neonatal nucleic acid tests were negative. Corresponding treatment was given after cesarean section, and the patient was continuously monitored for nucleic acid detection to meet the discharge criteria of the COVID-19 and discharged and isolated. After discharge, the patient was followed up for 1 month. The newborn's spirit, diet, and development were normal. The maternal cesarean section incision recovered well. Patient with COVID-19 in the third trimester has prolonged hospital stays and are difficult to treat. However, the virus was not found in amniotic fluid, breast milk, and newborn, for which COVID-19 does not lead to intrauterine vertical transmission and breastfeeding transmission in the third trimester.Copyright © 2023 by the authors.

Experience about workflow of standardized cabin CT scan in module hospital during the outbreak of COVID-19.

Since the outbreak of new coronavirus infection (COVID-19) in Wuhan, Hubei in December 2019, a total of 80 424 patients have been diagnosed until March 3, 2020, which has caused significant inpact in national health and economics. Module hospital played a vital role in effectively controlling the source of infection and cutting off the transmission channels.Compared with the CT room in a conventional hospital, the cabin CT is very different in terms of infection area settings, protective isolation measures and inspection procedures. This article covers CT room design, staffing responsibilities, division of infected areas, inspection procedures, protection and disinfection, and other aspects.Copyright © 2020 by the Chinese Medical Association.

Limited investor attention and biased reactions to information: Evidence from the COVID-19 pandemic

We find that the COVID-19 pandemic increases (decreases) stock return sensitivity to market -wide (firm-specific) news, which is associated with return reversals (delayed reactions). These results are consistent with limited investor attention and investors paying heightened (reduced) attention to macro (micro) information after the outbreak. There are more biased reactions when the epidemic spread is higher, to good news than bad news, for firms headquartered in pandemic epicenters, and for larger stocks. We also find higher (lower) imbalanced trading, information flow, and price efficiency associated with market-wide (firm-specific) news during the pandemic.

EdgeVR360: Edge-Assisted Multiuser-Oriented Intelligent 360-degree Video Delivery Scheme over Wireless Networks

The COVID-19 situation has determined many people all over the world to experience remote work, study and play although most of them were not prepared for such a change in their lifestyle. With the coming of the high demand of virtual interaction, 360-degree Virtual Reality (VR) technologies and applications have established stronger relationships with your peers and friends if it applies. However, higher quality of VR streaming brings users deeper immersive experience which requires greater network bandwidth and latency, and more powerful computation capability for individuals. To address these issues, the proposed intelligent video delivery scheme in this paper takes advantage of the edge-assisted computational power to improve the multi-user oriented watching experience of high quality 360-degree video over wireless networks, which reduces network resource utilization, and also optimizes edge cache hit ratio and user's Field of View (FoV) quality.

Gaseous and Particulate Pollution in the Wu-Chang-Shi Urban Agglomeration on the Northern Slope of Tianshan Mountains from 2017 to 2021

Rapid social development has led to serious air pollution problems in cities, and air pollutants, including gaseous pollutants and particulate matter, have an important impact on climate, the environment, and human health. This study analyzed the characteristics, potential sources, and causes of air pollution in the Wu-Chang-Shi urban cluster. The results showed that NO2, CO, SO2, PM10, and PM2.5 had a tendency to decrease, while O-3 showed an increasing trend. The concentrations of SO2, NO2, CO, PM2.5, and PM10 showed the highest values in winter and the lowest values in summer, with similar seasonal variations. However, the concentration of O-3 was highest in the summer and lowest in the winter. Compared with the pollutant concentrations in other Chinese cities, PM2.5, PM10, and NO2 are more polluted in the Wu-Chang-Shi urban. Meteorological factors have a greater impact on pollutant concentrations, with higher concentrations of major pollutants observed when wind speeds are low and specific wind directions are observed, and higher secondary pollutant O-3 concentrations observed when wind speeds are low and specific wind directions are observed. The backward trajectory and concentration weighting analysis show that the particulate pollutants in the Wu-Chang-Shi urban in winter mainly come from Central Asia and surrounding cities. O-3 showed an increasing trend before and after the novel coronavirus outbreak, which may be related to changes in NOX, volatile organic compounds, and solar radiation intensity, and the concentrations of SO2, NO2, CO, PM10, and PM2.5 showed an overall decreasing trend after the outbreak and was smaller than before the outbreak, which is related to the reduction of industrial and anthropogenic source emissions during the outbreak.

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.