A NOVEL ULTRAFAST REAL-TIME PCR INSTRUMENT FOR RAPID DETECTION OF SARS-COV-2 NUCLEIC ACIDS IN 30 MINUTES

Intro The coronavirus disease 2019 (COVID-19) pandemic is still raging around the world. Therefore, an efficient, rapid, and low-cost nucleic acid detection method for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is urgently needed. There is a miniaturized ultra-fast real-time PCR instrument, and we will verify and evaluate its 30-minute rapid detection of SARS-CoV-2. Methods A rapid PCR temperature change mode was explored by moving the reaction tube between the independent temperature modules with large temperature differences and a portable ultra-fast real-time PCR instrument were developed. We established a rapid SARS-CoV-2 test method using the instrument, a China Food and Drug Administration-certified SARS-CoV-2 reagent and optimized reaction condition. The analytical and clinical performances of the rapid tests were evaluated by comparing with the standard SARS-CoV-2 tests. Findings The new temperature change mode can effectively shorten the amplification reaction time. The rapid SARS-CoV-2 test method was established and the time to yield results were greatly shortened from 81 min of the standard test to 31 min. Specificity of the rapid test was assessed and no non-specific amplification (0/63) was observed. Clinical performance was evaluated using 184 respiratory specimens from patients with suspected SARS-CoV-2 infection. The positive agreement between the rapid and standard tests was 100% (67/67), the negative agreement was 97.4% (114/117), and the kappa statistic was 0.965 (P<0.001). No significant differences in the Ct values for each target gene were observed between the rapid test and the standard test (P>0.05). Conclusion A 30-minute detection method for SARS-CoV-2 nucleic acid using a novel ultra-fast real-time PCR instrument was developed. The waiting time for test results in cases of suspected infection may be reduced greatly by using the ultra-fast real-time PCR instrument

Clinical case analysis of novel coronavirus pneumonia complicated with pulmonary hypertension.

Objective: To report the clinical features of pulmonary hypertension diagnosed by echocardiography in 5 patients with novel coronavirus pneumonia (COVID-19) in order to understand the special clinical manifestations of COVID-19 and explore the possible mechanism. Method(s): The echocardiographic data and clinical characteristics of COVID-19 patients complicated with pulmonary hypertension diagnosed by echocardiography in Beijing Ditan Hospital, Capital Medical University were analyzed descriptively from February 5 to March 31, 2020. Result(s): A total of 15 patients with severe and critical COVID-19 patients underwent echocardiography. Of them, 7 patients were diagnosed with pulmonary hypertension, 5 of which were confirmed as complications of COVID-19. Among the 5 patients, 4 were female and 1 was male, aged 62-78 years;4 were with hypertension, 3 were with diabetes, and 1 was with coronary atherosclerotic heart disease. All 5 critically ill patients with COVID-19 were given ventilator-assisted breathing, 2 of which were given extracorporeal membrane oxygenation at the same time. According to echocardiography, the systolic pressure of pulmonary artery in 5 patients was 43-65 mmHg, with an average of 54 mmHg. The severity of pulmonary hypertension was graded as mild in 1 patient and moderate in 4 patients. During the follow-up, pulmonary artery systolic pressure gradually decreased to normal in 4 patients, and then ventilator and ECMO were withdrawn;1 patient died due to respiratory failure and persistent pulmonary hypertension. Conclusion(s): Patients with COVID-19 may be complicated by pulmonary hypertension, which is often found in the critical patients. Echocardiography is an important imagingdiagnostic method for pulmonary hypertension in patients with COVID-19.Copyright © 2020 by the Chinese Medical Association.

Hidden causality between oil prices and exchange rates

This work investigates the interactions between oil prices and exchange rates of 6 typical oil importers (China, Japan, and India) and exporters (Canada, Russia, and Saudi Arabia) from 2006 to 2022. We employ a novel method to capture their causal interactions, namely pattern causality, and compare the results to that based on the volatility spillover method. The empirical analysis supports most existing findings that oil prices are bidirectional correlated with exchange rates. However, unlike previous studies that only investigate positive and negative causalities, we highlight dark causality as a more complex interaction. Moreover, dark causality suggests that successive increases (decreases) in oil prices tend to drive the exchange rates of oil exporters to act in an oscillatory manner rather than in a purely positive or opposite trend, and vice versa. Furthermore, we also reveal that dark causality shows dominance during crises, e.g., the global financial crisis, the European debt crisis, the epidemic of COVID-19, and the Russia-Ukraine conflict. Revealing three types of causalities between oil prices and exchange rates helps policymakers develop more diversified macroeconomic policies. Moreover, the newly identified dark causality can be a useful indicator for investors to risk management. © 2023

The interactive CNY-CNH relationship: A wavelet analysis

The extant literature has explored the linkages between the onshore (CNY) and offshore (CNH) Renminbi (RMB) markets, as well as the potential factors affecting their dynamic inter-relationship. However, these efforts were made on a stand-alone basis in terms of dimensions and perspectives. This paper hence adopts the wavelet methodology to comprehensively examine the CNY-CNH interactions over 2010–2022. We find information spillovers across the two RMB markets to be bi-directional and asymmetric, with the exact pattern depending upon the particular sample period and the focal data frequency. Moreover, major macroeconomic events such as China's exchange rate reform, US-China trade tensions, COVID-19 pandemic, and more recent global uncertainty can exert distinct impacts on the flow pattern of information. We further show that the CNY-CNH exchange rate difference alone serves as a key indicator for the complex relationship between the two markets. As expected, the CNH market is more sensitive to exchange rate difference fluctuations, indicating a powerful market mechanism in the offshore RMB market, or equivalently, a substantial policy impact of the counter-cyclical adjustment by China's central bank in stabilizing the RMB rate. © 2023 Elsevier Ltd

MWG-Net: Multi-scale Wavelet Guidance Network for COVID-19 Lung Infection Segmentation from CT Images

Recently, accurate segmentation of COVID-19 infection from computed tomography (CT) scans is critical for the diagnosis and treatment of COVID-19. However, infection segmentation is a challenging task due to various textures, sizes and locations of infections, low contrast, and blurred boundaries. To address these problems, we propose a novel Multi-scale Wavelet Guidance Network (MWG-Net) for COVID-19 lung infection by integrating the multi-scale information of wavelet domain into the encoder and decoder of the convolutional neural network (CNN). In particular, we propose the Wavelet Guidance Module (WGM) and Wavelet &Edge Guidance Module (WEGM). Among them, the WGM guides the encoder to extract infection details through the multi-scale spatial and frequency features in the wavelet domain, while the WEGM guides the decoder to recover infection details through the multi-scale wavelet representations and multi-scale infection edge information. Besides, a Progressive Fusion Module (PFM) is further developed to aggregate and explore multi-scale features of the encoder and decoder. Notably, we establish a COVID-19 segmentation dataset (named COVID-Seg-100) containing 5800+ annotated slices for performance evaluation. Furthermore, we conduct extensive experiments to compare our method with other state-of-the-art approaches on our COVID-19-Seg-100 and two publicly available datasets, i.e., MosMedData and COVID-SemiSeg. The results show that our MWG-Net outperforms state-of-the-art methods on different datasets and can achieve more accurate and promising COVID-19 lung infection segmentation. IEEE

Efficacy and safety of traditional chinese medicine combined with western medicine for the treatment of COVID-19: A systematic review and meta-analysis

Coronavirus disease 2019 (COVID-19) has rapidly spread worldwide. Traditional Chinese Medicine (TCM) was considered important by Chinese health authorities in the fight against COVID-19. This review systematically analyzed and evaluated the safety and efficacy of TCM combined with Western Medicine (WM) for the treatment of COVID-19. We sought to provide summary evidence for clinicians when using TCM. We searched for studies in PubMed, Web of Science, Embase, Medline, the Cochrane Library, China National Knowledge Infrastructure, and Wanfang Data from database inception to June 1, 2021. Overall, 31 studies (14,579 participants) were involved in the final systematic review, including 15 randomized controlled trials and 16 observational studies. TCM combined with WM showed main outcomes of a higher clinical efficacy rate (odds ratio [OR] =2.48, 95% confidence interval [CI] =1.90-3.24, I 2 = 4%) and lower case fatality rate (OR = 0.31, 95% CI = 0.19-0.49, I 2 = 80%) compared with WM treatment alone. No significant overall adverse events were found between TCM plus WM group and WM group (OR = 1.43, 95% CI = 0.63-2.23, I 2 = 75%). Some larger randomized control trials would assist in defining the effect of TCM combined with WM on the treatment of COVID-19 complications such as cardiac injury. TCM combined with WM may be safe and effective for the treatment of COVID-19. © 2022 Heart and Mind ;Published by Wolters Kluwer - Medknow.

Exploratory Practice as a Professional Development Strategy for English-Language Teachers in Indonesia

The COVID-19 pandemic forced university-based language teachers to rely on technology for teaching. While the challenges of the rushed move to online teaching have been well documented, less is known about how teachers adapted to online teaching through professional development. This article focuses on the experiences of four English-language teachers in Indonesian higher education, who took part in an exploratory practice study for the integration of technology-enhanced pedagogical practices in teaching. In this article, we explore the pedagogical puzzles they explored with their students, the challenges faced by the teachers and the gains achieved by undertaking exploratory practice for integrating technology into language teaching in 2021. Drawing on data gathered through semi-structured interviews and focus group discussions, we identified that the application of exploratory practice principles enabled the participant teachers to tackle a variety of pedagogical puzzles related to online teaching and professional development. We also found that they overcame a variety of challenges and used potentially exploitable pedagogic activities to better understand students and their learning needs, which encouraged them to recognize students as partners in teaching. Further investments of resources and support are necessary to ensure that language teachers fully benefit from exploratory practice in terms of professional development during and beyond the pandemic. © The Author(s) 2023.

Integration of a hybrid scan approach and in-house high-resolution MS2 spectral database for charactering the multicomponents of Xuebijing Injection

Xuebijing (XBJ) Injection is a reputable patent Chinese medicine widely used to cure sepsis, among the Chinese ″Three Medicines and Three Prescriptions″ solution to fight against COVID-19. We were aimed to achieve the comprehensive multicomponent characterization from the single drugs to traditional Chinese medicine (TCM) formula, by integrating powerful data acquisition and the in-house MS2 spectral database searching. By ultra-high performance liquid chromatography/ion mobility-quadrupole time-of-flight mass spectrometry (UHPLC/IM-QTOF-MS), a hybrid scan approach (HDMSE-HDDDA) was developed, while the HDMSE data for five component drugs and 56 reference compounds were acquired and processed to establish an in-house MS2 spectral database of XBJ. Good resolution of the XBJ components was accomplished on a Zorbax Eclipse Plus C18 column within 24 min, while a fit-for-purpose HDMSE-HDDDA approach was elaborated in two ionization modes for enhanced MS2 data acquisition. XBJ MS2 spectral library was thus established on the UNIFITM platform involving rich structure-related information for the chemicals from five component drugs. We could identify or tentatively characterize 294 components from XBJ, involving 81 flavonoids, 51 terpenoids, 42 phthalides, 40 organic acids, 13 phenylpropanoids, seven phenanthrenequinones, six alkaloids, and 54 others. In contrast to the application of conventional MS1 library, this newly established strategy could demonstrate superiority in the accuracy of identification results and the characterization of isomers, due to the more restricted filtering/matching criteria. Conclusively, the integration of the HDMSE-HDDDA hybrid scan approach and the in-house MS2 spectral database can favor the efficient and more reliable multicomponent characterization from single drugs to the TCM formula. © 2022 The Author(s)

Public psychological crisis reports: an investigation during the remission of COVID-19 in China

Purpose: The COVID-19 outbreak has been effectively controlled in China, but the resulting public psychological crisis is a latent, persistent and torturous disaster. This crisis affects not only the individual's health but also social stability. This study aims to reveal the structure and situation of public psychological crisis during the remission period of the COVID-19 epidemic. Design/methodology/approach: A questionnaire survey of the psychological crisis was conducted from February to May 2021. Data was collected from 1,056 respondents from different provinces in China. Findings: The findings reveal the dangerous risks of public psychological crises. The specific results are as follows: first, a hierarchical state structure of psychological crisis is constructed and characterized as a significant gradient decline, namely, anxious state>panic state>depressive state>hostile state. Second, 43.939% of respondents reported an anxious state, 46.780% reported a panic state, 40.909% reported a depressive state, 28.883% reported a hostile state and 22.254% of the respondents had four psychological crisis states. Third, those with 56–65 years of age, equal or below high school and PhD, with monthly family incomes of ¥50,000–¥100,000 and living in the county and city areas have relatively high levels of psychological crisis. Originality/value: This study enriches the research on the evolution of the psychological crisis in terms of structure and periods. This study also provides substantial evidence for hierarchical intervention and differentiated intervention of psychological crisis. © 2021, Emerald Publishing Limited.

Model selection with decision support model for US natural gas consumption forecasting

Reliable prediction of natural gas consumption helps make the right decisions ensuring sustainable economic growth. This problem is addressed here by introducing a hybrid mathematical model defined as the Choquet integral-based model. Model selection is based on decision support model to consider the model performance more comprehensively. Different from the previous literature, we focus on the interaction between models when combine models. This paper adds grey accumulation generating operator to Holt-Winters model to capture more information in time series, and the grey wolf optimizer obtains the associated parameters. The proposed model can deal with seasonal (short-term) variability using season auto-regression moving average computation. Besides, it uses the long short term memory neural network to deal with long-term variability. The effectiveness of the developed model is validated on natural gas consumption due to the COVID-19 pandemic in the USA. For this, the model is customized using the publicly available datasets relevant to the USA energy sector. The model shows better robustness and outperforms other similar models since it consider the interaction between models. This means that it ensures reliable perdition, taking the highly uncertain factor (e.g., the COVID-19) into account. © 2023 Elsevier Ltd

Impact of decreased aerosols during the COVID-19 pandemic on winter wheat gross primary productivity and water use efficiency

Rapid and comprehensive lockdowns to contain the coronavirus 2019 (COVID-19) pandemic reduced anthropogenic emissions and, thereby, decreased the aerosol optical depth (AOD) in Xiangyang, Hubei Province. However, their complicated interactions make quantifying the contribution of decreased aerosols to crop growth challenging. Here, we explored the indirect effects of decreased aerosol concentrations on the gross primary productivity (GPP) and water use efficiency (WUE) of winter wheat by quantifying the contributions of key environmental factors. Our results showed high temporal and spatial associations between aerosols (represented by AOD), GPP, and WUE before, during, and after the COVID-19 pandemic. AOD decreased by 23.8% +/- 10.1%, whereas GPP and WUE increased by 16.5% +/- 5.8% and 17.0% +/- 15.3%, respectively. The GeoDetector model revealed that photosynthetically active radiation (PAR) had a major impact on GPP and WUE, followed by precipitation, surface soil moisture, subsurface soil moisture, and surface temperature. Moreover, causality analysis showed a causal relationship between AOD and the dominant factors (PAR and precipitation) during the lockdown, thereby indicating a positive effect of decreased aerosols on GPP and WUE changes of winter wheat. Our findings assist in understanding the mechanisms causing GPP and WUE changes, given the environmental factors that changed significantly during the pandemic. (c) 2022 Society of Photo-Optical Instrumentation Engineers (SPIE)

PIV experimental study of airflow structures in a multi-slot ventilation enclosure with opposed jets

The airflow structure of enclosure directly affects the spread of COVID-19 and is also closely related to indoor air quality, thermal comfort of personnel, and building energy consumption. Although a large number of studies on the airflow field have been conducted under mixing and displacement ventilation with a single air inlet in rectangular rooms. However, to the best of the authors knowledge, only a limited number of studies have dealt with airflow structures in a multi-slot ventilation enclosure with opposed jets. Therefore, this paper uses PIV to study the velocity and entropy of unstable airflow field in a multi-slot ventilation enclosure with opposed jets under isothermal and non-isothermal conditions. And this paper presents due to the collision of the jets to form two large-scale eddies, the airflow field structure being unstable. In the region without air supply inlets and exhaust outlets, a large-scale vortex is formed in the airflow field, resulting in high information entropy of the flow field. The thermal plume suppresses the large-scale flow field structure and increases the small-scale flow field structure. © The Authors, published by EDP Sciences. This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0/)

Antibacterial, efficient and sustainable CS/PVA/GA electrospun nanofiber membrane for air filtration

Since the outbreak of the COVID-19 epidemic, a large number of disposable protective masks have been manufactured and used, and the abandonment of masks has caused enormous pollution. In this paper the chitosan (CS), polyvinyl alcohol (PVA), and water were used as raw materials and the nanofiber membranes were prepared by electrostatic spinning. The CS/PVA fiber membranes were crosslinked by glutaraldehyde hydrochloric acid vapour. The fiber morphology, hydrolysis resistance, antibacterial properties, chemical structure, thermal stability and filtration performance of nanofiber membranes were characterized. Results shows that the antibacterial performance of the crosslinked composite nanofibers exceeds 97%, the thermal stability is improved, and the fiber morphology is not destroyed. The hybridized fiber membrane has high filtration performance, excellent antibacterial and hydrolysis resistance, which broadening the PVA fiber membrane application. It is expected to replace traditional protective materials and relieve environmental pressure.

COVID-VIT: Classification of Covid-19 from 3D CT chest images based on vision transformer model

This paper presents an explainable deep learning network to classify COVID from non-COVID based on 3D CT lung images. It applies a subset of the data for MIA-COV19 challenge through the development of 3D form of Vision Transformer deep learning architecture. The data comprise 1924 subjects with 851 being diagnosed with COVID, among them 1,552 being selected for training and 372 for testing. While most of the data volume are in axial view, there are a number of subjects' data are in coronal or sagittal views with 1 or 2 slices are in axial view. Hence, while 3D data based classification is investigated, in this competition, 2D axial-view images remains the main focus. Two deep learning methods are studied, which are vision transformer (ViT) based on attention models and DenseNet that is built upon conventional convolutional neural network (CNN). Initial evaluation results indicates that ViT performs better than DenseNet with F1 scores being 0.81 and 0.72 respectively. (Codes are available at GitHub at https://github.com/xiaohong1/COVID-ViT). This paper illustrates that vision transformer performs the best in comparison to the other current state of the art approaches in classification of COVID from CT lung images. © 2022 IEEE.

Preliminary study on the cellular level of SARS-CoV-2 proteins mediated by macropinocytosis pathway

Objective·To investigate the effects of several key proteins of severe acute respiratory syndrome coronavirus 2 (SARSCoV-2) on macropinocytosis in various cell models. Methods·① The interactions between spike protein receptor-binding domain (S-RBD), nucleocapsid protein (N) and non-structural protein-7 (NSP7) of SARS-COV-2 and HEK-293T intracellular proteins were explored by co-immunoprecipitation assay. ② In vitro, S-RBD, N and NSP7 proteins of SARS-CoV-2 were incubated with HEK-293T/bEnd. 3/Beas-2b cells (normal cell models), respectively, and the changes of macropinocytosis level of cells labeled with fluorescein isothiocyanate (FITC)-70 kDa-dextran were observed. ③ In vitro, S-RBD, N and NSP7 proteins of SARS-CoV-2 were incubated with inflammatory cells induced by lipopolysaccharide (LPS), respectively, and the changes of macropinocytosis level of inflammatory cells were analyzed. ④ In the normal cell models and inflammatory cell model, EIPA or lipoprotein nano-drug carriers loaded with Rab5 small interfering RNA (siRNA) were used to inhibit the macropinocytosis induced by SARS-CoV-2 proteins, respectively, and the uptake of S-RBD, N and NSP7 proteins by cells were further observed. Results·① The three proteins of SARS-COV-2 could bind to Rab small GTPase proteins after being absorbed into cells. ② It was found that S-RBD, N and NSP7 proteins of SARS-COV-2 could induce the macropinocytosis after entering the HEK-293T/bEnd. 3/Beas-2b cells. ③ Furthermore, the three proteins of SARS-COV-2 could enhance the megapinocytosis of the inflammatory cell. ④ After treatment with EIPA (75 μmol/L) or lipoprotein nano-drug carriers loaded with Rab5 siRNA, the uptake of S-RBD, N and NSP7 proteins were decreased in both types of cells. Conclusion·S-RBD, N and NSP7 proteins of SARS-CoV-2 can up-regulate megapinocytosis levels in various cell models, especially in the case of combined inflammation infection. At the same time, macropinocytosis inhibitor / lipoprotein nano-drug carrier can inhibit the macropinocytosis up-regulated by the above proteins, and then reduce the entry levels of viral proteins. © 2022 Editorial Department of Journal of Shanghai Second Medical University. All rights reserved.

MULTISYSTEM INFLAMMATORY DISEASE in CHILDREN (MIS-C) in SINGAPORE CHILDREN: ARE WE DIFFERENT?

Background: Multisystem Infammatory Syndrome in Children (MISC) is a hyper-infammatory state with similarities to Kawasaki Disease, 4 to 6 weeks after Covid-19 infection1. Literature describes a 11:1 Relative Risk for Asian children versus Caucasians2. Since the start of the pandemic, 17,699 children under 12 years were infected with Covid-193. Objectives: To describe presentation and short term outcomes, for a cohort of children with MIS-C at the sole Children's Hospital in Singapore. Methods: Demographic and clinical/lab data were collected from children diagnosed with MIS-C accrording to the WHO criteria4 at KK Woman's and Children's Hospital, Singapore. Nonparametric descriptive statistics were used to describe and analyse data. Results: Eleven patients were diagnosed with MIS-C between October 2021 and Jan 2022. Seven (64%) were male and 4 (36%) were Chinese, with median age at presentation was 8.08 years (IQR 4.54-9.79). All patients had positive COVID-19 serology at the time of diagnosis. Median duration of fever prior to diagnosis was 5 days (IQR 4-5);Nine (82%) had gastrointestinal symptoms and median number of Kawasaki Disease (KD) features were 2 (IQR 2-3.5);common manifestations were conjunctivitis (90%), red lips (55%) and rash (36%). Of note, 8 (70%) patients had KD type peeling on follow-up. No BCGitis was found during acute phase. Seven (64%) were admitted to higher dependency care. Table 1, all patient received IVIG and IV steroids;6 (55%) as pulse (30mg/kg/day) therapy. Patient 8, additionally received Anakinra. Median duration of admission was 6 days (IQR 5-13). One patient developed complications post therapy and was re-admitted to hospital for hematochezia. Treatment involved stopping Enoxaparin and Prednisone. Aspirin was resumed as soon as bleeding ceased. Laboratory characteristics and outcomes are denoted in Table 1. All patients had a monophasic course during the median of 10 weeks (IQR 8-11.5) of follow-up. Conclusion: 1.Asian prevalence of MIS-C is not as high as that reported from the West. Similarities in presentation as to age and gender were noted. 2.Most of our MIS-c patients developed periungual peeling at follow up, similarly to Kawasaki Disease. 3.Different from our typical KD population, no BCG site infammation was found.

Alternative role of motif B in template dependent polymerase inhibition

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) relies on the central molecular machine RNA-dependent RNA polymerase (RdRp) for the viral replication and transcription. Remdesivir at the template strand has been shown to effectively inhibit the RNA synthesis in SARS-CoV-2 RdRp by deactivating not only the complementary UTP incorporation but also the next nucleotide addition. However, the underlying molecular mechanism of the second inhibitory point remains unclear. In this work, we have performed molecular dynamics simulations and demonstrated that such inhibition has not directly acted on the nucleotide addition at the active site. Instead, the translocation of Remdesivir from +1 to-1 site is hindered thermodynamically as the post-Translocation state is less stable than the pre-Translocation state due to the motif B residue G683. Moreover, another conserved residue S682 on motif B further hinders the dynamic translocation of Remdesivir due to the steric clash with the 1′-cyano substitution. Overall, our study has unveiled an alternative role of motif B in mediating the translocation when Remdesivir is present in the template strand and complemented our understanding about the inhibitory mechanisms exerted by Remdesivir on the RNA synthesis in SARS-CoV-2 RdRp. © 2022 Chinese Physical Society.

Spatial structure analysis of tourism economy in Shaanxi province, China

This paper uses the modified gravity model to measure the intensity of tourism economic connection in 11 prefecture-level cities in Shanxi Province from 2016 to 2020. From the perspective of the social network, the density and core-periphery area of the tourism economic network's spatial structure are explored. The research shows that: From 2016 to 2020, the overall tourism economic connection in Shanxi Province shows a growing trend, and the differentiation phenomenon between the central region and the southern and northern regions is more obvious. There is an unbalanced spatial structure of the tourism economy in all prefecture-level cities in Shanxi province. On the whole, the network density shows a growing trend. The various indexes of Taiyuan, the capital city of Shanxi Province, are obviously better than other cities' indexes. The number of core areas of the tourism economy changes little. These areas are closely connected but the strengthening trend is not obvious. The relations within the periphery region are not strong, and the connection between the periphery region and the core region is also weak. The connection of the regional tourism economy is strongly dependent on tourism resources endowment and transportation accessibility. The spatial structure of the tourism economy network is under the great influence of policy suggestions and planning. This study provides a certain theoretical basis for the formulation of tourism economic development strategy in Shanxi Province. The limitation is that the impact of COVID-19 on tourism development has not been specifically analyzed. (C) 2022 The Authors. Published by IASE.