Yiyang City Research Articles

Prediction on the spatial distribution of the seropositive rate of schistosomiasis in Hunan Province, China: a machine learning model integrated with the Kriging method.

Schistosomiasis remains a formidable challenge to global public health. This study aims to predict the spatial distribution of schistosomiasis seropositive rates in Hunan Province, pinpointing high-risk transmission areas and advocating for tailored control measures in low-endemic regions. Six machine learning models and their corresponding hybrid machine learning-Kriging models were employed to predict the seropositive rate. The optimal model was selected through internal and external validations to simulate the spatial distribution of seropositive rates. Our results showed that the hybrid machine learning-Kriging model demonstrated superior predictive performance compared to basic machine learning model and the Cubist-Kriging model emerged as the most optimal model for this study. The predictive map revealed elevated seropositive rates around Dongting Lake and its waterways with significant clustering, notably in the central and northern regions of Yiyang City and the northeastern areas of Changde City. The model identified gross domestic product, annual average wind speed and the nearest distance from the river as the top three predictors of seropositive rates, with annual average daytime surface temperature contributing the least. In conclusion, our research has revealed that integrating the Kriging method significantly enhances the predictive performance of machine learning models. We developed a Cubist-Kriging model with high predictive performance to forecast the spatial distribution of schistosomiasis seropositive rates. These findings provide valuable guidance for the precise prevention and control of schistosomiasis.

Health-Oriented Evaluation and Optimization of Urban Square Space Elderly Suitability: A Case Study of Yiyang City Center

Urban squares are the main place for older adults’ daily activities. The spatial layout of the urban square is not only related to the construction of a healthy city and the equitable distribution of public resources, but also of great significance in enhancing the sense of gain, security, and happiness of older adults. This essay takes “health needs of older adults” as the perspective, and constructs a multi-dimensional evaluation index system of urban square space for elderly suitability in terms of physiological, psychological, and social health. It also takes six urban squares in Yiyang city center as an example and analyzes and evaluates them using GIS network analysis and the entropy weight method. The results of the study show that (1) Yiyang city center squares show the distribution characteristics of “dense in the middle and scattered around”, and the spatial distribution is not balanced, which leads to a small service area. (2) The overall intervention value of urban square space is mainly distributed between 0.291 and 0.710, with an average value of 0.481, and the overall intervention effect of the square is good. The reasons for differences in health interventions for older adults in urban square spaces centered on six aspects: the quality of the square space, the variety and convenience of travel lines, the tidiness of the environment, physical activities, safety, and social interaction. Based on this, this essay proposes three optimization strategies for the renewal of urban squares, the construction of characteristic squares, and the reconstruction of the urban square space system. The aim is to provide a reference for the future design and renewal of the elderly suitability of urban squares, so as to promote the construction of a healthy city.

Increasing Hybrid Rice Yield, Water Productivity, and Nitrogen Use Efficiency: Optimization Strategies for Irrigation and Fertilizer Management.

Water and fertilizer are crucial in rice growth, with irrigation and fertilizer management exhibiting synergies. In a two-year field study conducted in Yiyang City, Hunan Province, we examined the impact of three irrigation strategies-wet-shallow irrigation (W1), flooding irrigation (W2), and the "thin, shallow, wet, dry irrigation" method (W3)-in combination with distinct fertilizer treatments (labeled F1, F2, F3, and F4, with nitrogen application rates of 0, 180, 225, and 270 kg ha-1, respectively) on rice yield generation and water-fertilizer utilization patterns. The study employed Hybrid Rice Xin Xiang Liang you 1751 (XXLY1751) and Yue Liang you Mei Xiang Xin Zhan (YLYMXXZ) as representative rice cultivars. Key findings from the research include water, fertilizer, variety, and year treatments, which all significantly influenced the yield components of rice. Compared to W2, W1 in 2022 reduced the amount of irrigation water by 35.2%, resulting in a 42.0~42.8% increase in irrigation water productivity and a 25.7~25.9% increase in total water productivity. In 2023, similar improvements were seen. Specifically, compared with other treatments, the W1F3 treatment increased nitrogen uptake and harvest index by 1.4-7.7% and 5.9-7.7%, respectively. Phosphorus and potassium uptake also improved. The W1 treatment enhanced the uptake, accumulation, and translocation of nitrogen, phosphorus, and potassium nutrients throughout the rice growth cycle, increasing nutrient levels in the grains. When paired with the F3 fertilization approach, W1 treatment boosted yields and improved nutrient use efficiency. Consequently, combining W1 and F3 treatment emerged as this study's optimal water-fertilizer management approach. By harnessing the combined effects of water and fertilizer management, we can ensure efficient resource utilization and maximize the productive potential of rice.

Resident demand-oriented selection and spatial layout strategy for public sports facilities

In response to elevated living standards and evolving recreational values, public sports facilities have become a focal point. This study, targeting the central districts of Yiyang City across 17 neighborhoods, integrates questionnaire surveys, in-depth interviews, and geographic information system analysis to address the diversified needs in sports infrastructure. It reveals a discrepancy characterised by uniform facility types and flawed layouts, notably in Heshan and Ziyang, that fail to satisfy the diversified demands of residents. Consequently, the research introduces a bottom-up strategy, emphasising the need for facility selections and spatial layouts informed by community needs. Furthermore, it highlights the importance of demographic factors such as age, income, and education in guiding facility placement strategies to accommodate a broad spectrum of users. By doing so, the study contributes a novel, resident-focused framework to the discourse on public sports facilities, promoting sustainable and inclusive urban sports environment development.

Geometric accuracy evaluation and analysis of ZY-1 02E IRS thermal infrared image data using GCP extraction based on phase correlation matching method

Abstract. The Ziyuan-1 (ZY-1) 02E launched on December 26, 2021 is equipped with a thermal infrared sensor (IRS), which has a ground resolution of better than 16m and a width priority of 115km, balancing the advantages of high resolution and large wide observation. The geometric performance of image data is the premise of remote sensing application, and the difficulty in evaluating the geometric performance of thermal infrared image data lies in the extraction of well-distributed, reliable and accurate GCPs. To extract GCP from high-precision reference images, it is necessary to overcome the feature differences between images caused by different spectral responses. This paper adopts a phase correlation matching method based on frequency domain to realize the fine registration of the data obtained by the emission thermal spectral band with the data from the reflectance spectral band, which can not only solve the GCP extraction of conventional thermal infrared images collected during the day, but also obtain satisfactory GCP data from thermal infrared data acquired at night. In order to test the GCP method proposed in this paper, three typical areas are selected as the experimental areas, including Yiyang City in Hunan, Nagqu City in Xizang and Hami City in Xinjiang, and the internal geometric accuracy and absolute geolocation accuracy of the thermal infrared data spanning one year are evaluated and analyzed by using the reference data composed of the DOM with an accuracy of 2m and the DEM with an accuracy of 10m. The research results indicate that the internal geometric accuracy of ZY-1 02E IRS satellite image data is better than 1.0 pixels, and the performance is satisfactory. However, its absolute geolocation accuracy needs to be continuously improved, especially there are systematic errors in the ascending data at night that require further research. Overall, it meets the design accuracy indicators of satellites and can meet the application requirements of thermal infrared remote sensing.

Explore the Influence of Plant Fiber Reinforced Composites on Green Low-Carbon Cycle System

Abstract: The first step for Yiyang City to follow the national pace and establish a sound green and low-carbon circular development economic system is to promote industrial transformation and upgrading. The most important step in the transformation is the production link of the economic system. The production process is embodied in upgrading materials, reducing resource consumption, realizing lightweight and recycling of materials, and realizing green and low-carbon recycling. Based on this, taking plant fibre-reinforced composites as an example, this paper focuses on its ageing mechanism and how to reduce resource consumption and pollution emissions, realize the lightweight and recycling of the manufacturing industry, and establish a green, efficient and low-carbon economic system, energy system and resource utilization system.

Study on plant diversity investigation and conservation plan-ning in Yiyang City

<p>Taking the urban plants of Yiyang as the research object, the field investigation of Yiyang plants was carried out by using the method of combining route investigation and quadrat investigation, the current situation of plant diversity level in Yiyang City was analyzed, and the planning content and construction strategy of plant diversity protection in Yiyang City were studied, in order to provide reference for the effective protection of plant diversity in Yiyang City. The results showed that there were 145 families, 481 genera and 955 species of vascular plants in Yiyang urban planning area; there are 232 species of garden plant resources in the central urban area, belonging to 62 families. 105 genera; the overall level of plant diversity in Yiyang City is general. Urban landscaping relies too much on exotic species, and the utilization rate of native plants in urban gardens is low.</p>

Management Status and Disposal Suggestions of Construction Waste in Yiyang City

Abstract: With the continuous development of the city and the implementation of the shed renovation project, the collection, transportation and disposal of construction and demolition debris had become the focus of attention in the field of solid waste treatment. The research was carried out based on the management and recycling of construction and demolition debris in Yiyang. The basic situation, collection, transportation and recycling operation and management situation, relevant management policies and problems in management and disposal in Yiyang City were analyzed. And the relevant suggestions were put forward, hoping to provide referenced for the disposal of construction and demolition debris.

Study on Mechanical Properties of Clay Mixed with Construction Waste and Lime Powder

Abstract: Clay is widely distributed in Yiyang City. Due to its low strength and great influence on construction safety, clay needs to be improved and reused in actual projects, which leads to problems such as increased construction cost and delayed construction period. In this paper, construction waste, lime powder and clay are mixed according to a certain proportion, so as to improve the strength of soil and reduce construction costs. It is found that construction waste can improve the ductility of soil, but it has no obvious effect on the improvement of compressive strength of soil. When 20% construction waste and 4% lime powder are added, the compressive strength of soil is improved most obviously.

Research on Underground Drip Irrigation and Soil Redistribution - Take Heshan District of Yiyang City as an Example

Abstract: The drip flow and the buried depth of drip irrigation zone are not only important parameters of subsurface irrigation design and operation management, but also important factors affecting the migration and redistribution of soil water and fertilizer. Crop growth is closely related to soil water and nitrogen leaching, water and fertilizer transport patterns and redistribution characteristics. It is of great significance to study the migration and redistribution of soil water and fertilizer under subsurface drip irrigation for improving the utilization efficiency of water and fertilizer and improving the system of subsurface drip irrigation. In this paper, the migration mode and redistribution characteristics of water and nitrogen in subsurface drip irrigation were studied and analyzed by means of laboratory soil box experiment, considering the two factors of drip flow and the buried depth of drip irrigation belt. The main research conclusions are as follows: Ⅰ. Different drip flows had effects on soil moisture front, soil moisture content and soil water redistribution. If other conditions remain unchanged, increasing the drip flow can increase the moist body area of soil and increase the moisture content of soil. The distance between vertical and horizontal directions increased with the large drip flow, and the soil water content decreased with the increase of distance. Large drip flow can promote the redistribution of soil water after drip irrigation. Ⅱ. Different drip depth had effects on soil moisture content and soil water redistribution. When the drip depth was 0cm, the surface shape of the wet body was a "horizontal" semi-ellipse after drip irrigation. When the drip depth was 10cm and 20cm, the surface of the wet body was an "upright" semi-ellipse after drip irrigation. The larger the buried depth of the drip can make the distribution of soil moisture more uniform, and the larger the buried depth of the drip can promote the migration of water in the soil. Ⅲ. Different drip discharge had an effect on soil nitrogen redistribution, and large drip discharge promoted soil nitrogen redistribution after drip irrigation. The Nitrate Nitrogen (NO3--N) content in the moist body is lower than that near the edge of the wetting front. The content of Ammonium Nitrogen (NH4+-N) near the edge of the wetting peak is higher than that inside the wetting body. Ⅳ. The redistribution of soil nitrogen was affected by different buried depth of drip head, and the greater buried depth of drip head could promote the redistribution of soil nitrogen. In terms of vertical and horizontal migration of ammonium nitrogen and nitrate nitrogen, on the day after drip irrigation, the cumulative effect of Nitrate Nitrogen (NO3--N) buried at a depth of 20cm was more significant near the wetting front edge at a larger vertical downward distance, and the cumulative effect of Nitrate Nitrogen (NO3--N) buried at a depth of 20cm was more significant inside the wetting body at a larger vertical downward distance. At the same time, the drip buried depth of 20cm can spread the cumulative effect inside the wet body and near the edge of the wet front to a longer horizontal distance.

Digital research on the resilience control of water ecological space under the concept of urban-water coupling

Introduction: The construction of digital governance of national land space depends greatly on the development of a digital model for robust control of water and ecological space. However, how changes to the urban-water coupling relationships affect the resilience control of water ecological space is rarely reported.Methods: The evolution characteristics of urban and water space in the study area from 2000 to 2020 and the correlation between them are analyzed based on the grid analysis using InVEST and Moran’I methods. Based on the theory of human-environment interaction territorial system to provide a theoretical framework to explain the urban and water space. We used digital to construct an resilience control framework in the Dongting Lake area based on the correlation between the urban and water space.Results: The results show that: 1) From 2000 to 2020, the geographical evolution of towns and cities in the research area displayed obvious spatial variation in intensity, indicating a process of expansion and change. The regional and temporal fluctuations of the water conservation function are significant. The mountainous areas in the east, south, and northwest are where the high values of the water conservation function are primarily found. These regions have more vegetation, which increases the water conservation function. 2) According to the results of local binary spatial autocorrelation analysis, it can be seen that from 2000 to 2020, the high-high agglomeration of town space and water-related is mainly distributed in Linxiang City, Yueyang County, Miluo City, Li County, and Yiyang City, and the low-low agglomeration is mainly distributed in Dongting Lake, Datong Lake, and along the Yangtze River. 3) Based on how urban spatial evolution affects water ecological space, we construct a theoretical framework of urban-water coupling and establish a digital model of water ecological space resilience control in the Dongting Lake area from four perspectives: threshold, visualization, dynamics, and intelligence.

Converging Channel Attention Mechanisms with Multilayer Perceptron Parallel Networks for Land Cover Classification

This paper proposes a network structure called CAMP-Net, which considers the problem that traditional deep learning algorithms are unable to manage the pixel information of different bands, resulting in poor differentiation of feature representations of different categories and causing classification overfitting. CAMP-Net is a parallel network that, firstly, enhances the interaction of local information of bands by grouping the spectral nesting of the band information and then proposes a parallel processing model. One branch is responsible for inputting the features, normalized difference vegetation index (NDVI) and normalized difference water index (NDWI) band information generated by grouped nesting into the ViT framework, and enhancing the interaction and information flow between different channels in the feature map by adding the channel attention mechanism to realize the expressive capability of the feature map. The other branch assists the network’s ability to enhance the extraction of different feature channels by designing a multi-layer perceptron network based on the utilization of the feature channels. Finally, the classification results are obtained by fusing the features obtained by the channel attention mechanism with those obtained by the MLP to achieve pixel-level multispectral image classification. In this study, the application of the algorithm was carried out in the feature distribution of South County, Yiyang City, Hunan Province, and the experiments were conducted based on 10 m Sentinel-2 multispectral RS images. The experimental results show that the overall accuracy of the algorithm proposed in this paper is 99.00% and the transformer (ViT) is 95.81%, while the performance of the algorithm in the Sentinel-2 dataset was greatly improved for the transformer. The transformer shows a huge improvement, which provides research value for developing a land cover classification algorithm for remote sensing images.

Understanding Farmers’ Intentions to Adopt Pest and Disease Green Control Techniques: Comparison and Integration Based on Multiple Models

Green control techniques (GCT) are an important supporting technology to ensure sustainable agricultural development. To advance the adoption of GCT, it is crucial to understand the intention of farmers to adopt GCT and its related determinants. However, current research is mostly limited to using a single theoretical model to explore farmers’ intentions to adopt GCT, which is not conducive to revealing the determinants of farmers’ intentions to adopt GCT. To address this gap, this study integrates the Theory of Planned Behavior (TPB), the Technology Acceptance Model (TAM), the Innovation Diffusion Theory (IDT), and the Motivational Model (MM) based on research data from 362 rice farmers in Heshan District, Yiyang City, Hunan Province, and uses partial least squares structural equation modeling (PLS-SEM) to empirically test and compare the above models. The model comparison results prove that the TPB (R2 = 0.818, Q2 = 0.705), TAM (R2 = 0.649, Q2 = 0.559), IDT (R2 = 0.782, Q2 = 0.674), and MM (R2 = 0.678, Q2 = 0.584) models all have explanatory power and predictive validity in the context of green control techniques. However, the integrated model (R2 = 0.843, Q2 = 0.725) is found to be superior to these individual theoretical models because it has larger values of R2, Q2, and smaller values of Asymptotically Efficient, Asymptotically Consistent, and provides a multifaceted understanding for identifying the factors influencing adoption intentions. The results of the path analysis show that attitude, perceived behavioral control, perceived usefulness, subjective norm, and visibility significantly and positively influence adoption intentions in both the single and integrated models and are determinants of farmers’ intentions to adopt GCT.

Measurement and Analysis of Low-Frequency Radio Noise in a Typical Southern China Area

Background: External noise is a necessary factor for calculating the signal-to-noise ratio and evaluating communication quality and is one of the important parameters when designing low-frequency communication schemes or evaluating low-frequency signal quality. Methods: To study the radio noise distribution of each frequency point within the low-frequency band from 40kHz to 80kHz in a typical Southern China region at different time periods, the test team conducted a low-frequency radio noise test in Ziyang District, Yiyang City. Results and Discussion: The test data is analyzed and the results show that in this area, the radio noise in the 40kHz to 80kHz frequency band changes significantly day and night. The noise factors of most frequency points are in line with the predicted value given in the predicted value of the Radio Noise Volume of Recommendation ITU-R P.372-10. Conclusion: However, the noise distributions of 50kHz, 54kHz, 60kHz, and 68.5kHz are significantly higher than those of the predicted values.

Study on health assessment system of old city street spaces in Ziyang District, China

Healthy street space is crucial for public health and promoting urban renewal in old areas. In 2021, China’s urbanisation reached 65.22% according to the Development and Reform Commission of People’s Republic of China (2023). Rapid urbanisation has led to problems and public health events in old urban areas that threaten residents’ safety and health. Addressing health issues is a major problem challenge in urban renewal. This paper, an index system for evaluating the health of urban streets through empirical research. The authors conducted a preliminary study on data acquisition scope and established an index system with eight main and 15 secondary indicators. The authors determined the weight of each indicator by consulting experts, residents and tourists and using an information entropy-based weight allocation method. The authors then conducted an empirical study of the Dongmenkou area in Yiyang City. The results show that the street space in Dongmenkou district has issues with inappropriate street width, inadequate street greening, poor night-time safety, and uneven facility distribution. The authors suggest improving the street scale, environment and facilities.

In-situ Immobilization of Cd in Acidic Paddy Soil of Hunan Province, China by Layered Double Hydroxides

ABSTRACT Hunan Province has abundant mineral resources in China. Due to unreasonable mining, serious Cd contamination is highlighted in paddy soil. In addition, the long-term use of acidic chemical fertilizers causes that the soil is seriously acidified, and Cd possesses the high bioavailability under acidic conditions, which is easily absorbed by rice, resulting in excess Cd accumulation in rice grains. Layered double hydroxides (LDHs) have been reported as an efficient in-situ stabilizer for Cd remediation. In this work, two kinds of LDHs (MgAl-LDH/Ca(OH)2 (102A) and CaAl-LDH (112A)) are used for the first time in the remediation of Cd-contaminated acidic paddy soil in Hunan Province. The location of experimental field is in a village, Heshan District, Yiyang City, Hunan Province, China. The basic characteristics of the soil are as follows: clay, silt, sand, pH, total nitrogen, available phosphorus, available potassium, cation exchange capacity, soil organic matter, and total Cd are 49.3%, 48.0%, 2.7%, 5.20, 2.63 g·kg−1, 16.90 mg·kg−1, 96.00 mg·kg−1, 11.60 cmol·kg−1, 42.31 g·kg−1 and 0.530 mg·kg−1, respectively. Herein, the applications of 102A, 112A and mixture of 102A and 112A have increased the soil pH value and decreased the available Cd content of the soil effectively. They show excellent performance in reducing the Cd content of rice grains. Group A4 (3 t/ha 102A) demonstrates the most effective Cd passivation efficiency, the available Cd content in the soil has reduced by 66.8%. The Cd content of early rice grains and late rice grains are 0.093 and 0.113 mg·kg−1, respectively, which is below the standard value of Cd in rice grain (0.2 mg·kg−1, GB 2762–2017), while the Cd content is 0.403 and 0.547 mg·kg−1 in the control group field, respectively. This work provides an alternative approach to remediate the Cd contamination in practical paddy soil.

Effect of Narrative Therapy-Based Group Psychological Counseling on Internet Addiction among Adolescents

There are a large number of psychological problems caused by Internet addiction. We aimed to explore the intervention effect of narrative therapy in combination with Pilates exercise on Internet addiction among adolescents. From July 2021 to October 2021, 42 adolescents with Internet addiction selected from four communities in Yiyang City of China were randomly divided into the intervention and control groups with 21 members in each group. The intervention group participated in the intervention of narrative therapy in combination with Pilates exercise eight times, whereas the control group did not receive any intervention. The 12-item General Health Questionnaire, Self-rating Young's Diagnostic Questionnaire of Internet Addiction, and Positive Affect Subscale were used to measure the psychological indexes of the adolescents before and after the intervention. Compared with those in the control group, the adolescents in the intervention group had an obvious decrease in the degree of Internet addiction with a statistically significant difference before and after the intervention (P < 0.001). After the intervention, the intervention group had significantly higher mental health scores and significantly lower scores for anxiety, depression, social dysfunction, and loss of interest than the control group. After the intervention, the intervention group showed an obvious increase in the score for positive affect with a statistically significant difference before and after the intervention (P < 0.001). The intervention method proposed in this study could effectively solve the problem of Internet addiction among adolescents.

The Mediating Effect of Stress Coping Method between Ego-State and Goal Orientation of Sophomore Art University Students in Yiyang City of China

목적 이 연구의 목적은 중국 이양시 두 개 대학교 대학생들을 대상으로 목표지향성에 영향을 미치는 자아상태와 스트레스 대처방식이 목표지향성과 어떠한 관계를 갖는지 분석한다. 그리고 스트레스 대처방식이 자아상태와 목표지향성 간에 부분 혹은 완전 매개변수로서 역할을 하는지, 아니면 매개변수로서 역할을 하지 않는지에 대해서 살펴보고자 함이다. 방법 연구의 대상은 이양시에 있는 두 개 대학의 예술학과 2학년생을 대상으로 하였다. SPSS 25의 프로그램은 자아상태, 스트르레스 대처방식 및 목표지향성에 관한 신뢰도, 상관관계, 회귀의 분석 등을 하는 데 사용되었다. 결과 이 연구의 결과들에 의하면 자아상태는 스트레스 대처방식에 대한 설명력을 52% 정도, 목표지향성에 관한 설명력을 34% 정도 나타냈다. 스트레스 대처방식의 경우, 목표지향성에 대한 26%의 설명력을 가졌다. 스트레스 대처방식은 자아상태가 목표지향성에 미치는 효과를 부분적으로 매개하는 것으로 확인되었다. 결론 이양시의 예술대학생들의 목표지향성을 더욱 높이기 위해서는, 자유로움 속에서 학교생활 환경 및 사회적 환경들이 조성되어야 하고, 사람들 간에 정서적 관계 혹은 바람 위주의 업무추진보다는 문제중심적 업무의 추진과 사고들이 요구된다.

Exploration on the Problems and Countermeasures in the Construction of Yiyang Smart City

Based on the research status of smart city construction in china and abroad, in-depth research and analysis, induction and summary of the overall status and development trend of smart city construction in Yiyang City, objectively evaluate the practical effects of implemented policy tools, analyze the challenges that Yiyang faces in the construction of a smart city, explore new strategies to match Yiyang's smart city construction, which puts forward constructive countermeasures for the challenges faced by the Yiyang Municipal Government in supporting the construction of smart cities.

A Retrospective Cohort Study on the Clinical Course of Patients With Moderate-Type COVID-19.

Background: A large number of people contracted moderate-type COVID-19 around the world. However, to our knowledge no studies have covered the clinical course of patients with moderate-type COVID-19. This study describes the clinical course of moderate-type patients with COVID-19 from Wuhan City and Yiyang City, and explores factors relevant to the length of hospitalization and symptoms relief.Methods: The study analyzed the clinical course of 107 moderate-type patients with COVID-19 from the outbreak area (Wuhan) and the imported area (Yiyang), and used automatic linear modeling and multivariate linear regression analysis to explore the factors relevant to the length of hospitalization and symptoms relief. Furthermore, we created a scoring system to value the length of hospitalization and symptoms relief.Results: Lymphopenia, elevated C-reactive protein, increased LDH, bilateral lung GGO (ground glass opacity), and lung consolidation were more likely to appear in ordinary inpatients with moderate-type COVID-19 from Wuhan (P < 0.05), compared to infected medical staff from Wuhan and ordinary inpatients with moderate-type COVID-19 from Yiyang. Meanwhile, the length of hospitalization and symptoms relief was longer in ordinary patients with moderate-type COVID-19 from Wuhan (P < 0.05). Onset of symptoms to admission, ESR, leucocytes count, and bilateral lung GGO were linearly related to the length of hospitalization (P < 0.05); onset of symptoms to admission, leucocytes count, bilateral lung GGO, and lung consolidation were linearly related to the length of symptoms relief (P < 0.05). By using the scoring system, we found that the time of hospitalization and symptoms relief lengthened as the scores increased.Conclusions: This study described the clinical course of patients with moderate-type COVID-19, and found that ordinary patients with moderate-type COVID-19 in outbreak areas were more serious and needed stronger treatment and longer treatment time. Onset of symptoms to admission, ESR, leucocytes count, and bilateral lung GGO can be effective predictors of the length of hospitalization. And onset of symptoms to admission, leucocytes count, bilateral lung GGO, and lung consolidation can be effective predictors of the amount of time until symptoms relief. Most importantly, we have created a scoring system, which could contribute to the diagnosis and treatment of COVID-19.