Carbon emission change based on land use in Gansu Province.

Carbon emissions from land use change have become one of the main sources of regional carbon emissions. In order to explore the changes, 87 districts and counties in Gansu Province are taken as research objects. Based on the remote sensing data and statistical data of land use, the carbon emission coefficient method was used to investigate the spatial characteristics of land use carbon emission of each district and county in Gansu Province in recent 20 years from the perspective of carbon ecological support coefficient and per capita carbon footprint. The main results are as follows: (1) the growth of land use carbon emissions in Gansu Province from 2000 to 2020 was significant, but the growth of carbon emissions after 2010 was fast, and the growth of carbon sinks was relatively slow. (2) The ecological support coefficient of carbon emissions at county level in Gansu Province showed a trend of high in the south and low in the north, high in the east and low in the west, and this trend became more and more obvious with the passage of time. (3) Based on carbon emission, county population, and carbon ecological support capacity, the per capita carbon footprint of each county in Gansu Province was analyzed. The results showed that the per capita carbon footprint in Gansu Province was increasing, indicating that the gap between carbon emission and carbon absorption in each county was widening. By the above result, the author divides the counties of Gansu Province into three regions, low-carbon maintenance area, green development area, and ecological optimization area, and puts forward development suggestions for different regions, respectively. Therefore, this paper can also provide a theoretical reference for the formulation of carbon neutral planning measures in inland northwest China.

Characteristics of the knowledge graph of scientific and technological innovation in Gansu Province.

The knowledge graph based on research papers can accurately identify and present the latest developments in scientific and technological (S&T) innovation and is of great significance for supporting strategic decision-making relating to S&T innovation in undeveloped areas. Based on the international research papers produced in Gansu Province during the 13th Five-Year Plan period (2016-2020), five metrics, including the number and characteristics of papers, co-authors, main publications and their fields, major supporting institutions, and main research areas, are established herein. The results indicate that: (i) the total of 29,951 papers were published, which is about 2.89 times that in 2010-2015; (ii) Gansu Province collaborated with 149 countries/regions globally; (iii) the top 5 journals in terms of the number of papers were Medicine, Scientific Reports, RSC Advances, Science of the Total Environment, and Physical Reviews D; (iv) the funding sources were mainly from the national level; and (5) the top 5 research areas were chemistry, engineering, physics, material science, environmental science, and ecology, which accounted for 64.7% of all papers. Finally, the present study puts forward some recommendations for the decision-making process in the strategic layout of S&T innovation in Gansu Province.

[Analysis of disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020].

Objective: Through comparative analysis of the disease burden of occupational pneumoconiosis in Gansu Province from 2010 to 2020, the main influencing factors are screened, and scientific basis is provided for rational allocation of limited health resources, precise management and policy implementation. Methods: In August 2021, survey and collect information on surviving occupational pneumoconiosis patients and dead occupational pneumoconiosis patients diagnosed in Gansu Province from 2010 to 2020, and analyze and calculate indicators such as morbidity, mortality, and disability adjusted of life years (DALY). Analyzing the influencing factors of disease burden usirrg multiple linear regression. Results: From 2010 to 2020, the average annual incidence of occupational pneumoconiosis in Gansu Province was 0.9992/100000, the average annual mortality was 0.897/100000, the cumulative case fatality rate was 25.75%, and the cumulative DALY was 28932.96 person-years. The first stage of occupational pneumoconiosis was the highest among DALY loss (19920.14 person-years), and the DALY loss was positively correlated with the stage of occupational pneumoconiosis. Among occupational pneumoconiosis in Gansu Province, silicosis (13753.66 person-years) and coal worker's pneumoconiosis (13414.73 person-years) caused the highest disease burden, followed by cement pneumoconiosis and asbestos lung. Period, length of service, type of disease, and region are all influencing factors of DALY loss (P<0.05). Conclusion: From 2010 to 2020, the DALY losses caused by occupational pneumoconiosis in Gansu Province showed a fluctuating decrease, with the composition of DALY mainly changing from the loss of life years due to premature death to the loss of years due to injury and disability.

How climate, landscape, and economic changes increase the exposure of Echinococcus Spp.

BACKGROUND: Echinococcosis is a global enzootic disease influenced by different biological and environmental factors and causes a heavy financial burden on sick families and governments. Currently, government subsidies for the treatment of patients with echinococcosis are only a fixed number despite patients' finical income or cost of treatment, and health authorities are demanded to supply an annual summary of only endemic data. The risk to people in urban areas or non-endemic is increasing with climate, landscape, and lifestyle changes. METHODS: We conducted retrospective descriptive research on inpatients with human echinococcosis (HE) in Lanzhou hospitals and analyzed the healthcare expenditure on inpatient treatment and examined the financial inequalities relating to different levels of gross domestic product. The livestock losses were also estimated by infection ratio. The occurrence records of Echinococcus spp. composed of hospitalized patients and dogs infected in the Gansu province were collected for Ecological niche modeling (ENM) to estimate the current suitable spatial distribution for the parasite in Gansu province. Then, we imported the resulting current niche model into future global Shared Socioeconomic Pathways scenarios for estimation of future suitable habitat areas. RESULTS: Between 2000 to 2020, 625 hospitalized HE patients (51% men and 49% women) were identified, and 48.32 ± 15.62 years old. The average cost of hospitalization expenses per case of HE in Gansu Province was ï¿¥24,370.2 with an increasing trend during the study period and was negative with different counties' corresponding gross domestic product (GDP). The trend of livestock losses was similar to the average cost of hospitalization expenses from 2015 to 2017. The three factors with the strongest correlation to echinococcosis infection probability were (1) global land cover (GLC, 56.6%), (2) annual precipitation (Bio12, 21.2%), and (3) mean temperature of the Wettest Quarter (Bio12, 8.5% of variations). We obtained a robust model that provides detail on the distribution of suitable areas for Echinococcus spp. including areas that have not been reported for the parasite. An increasing tendency was observed in the highly suitable areas of Echinococcus spp. indicating that environmental changes would affect the distributions. CONCLUSION: This study may help in the development of policies for at-risk populations in geographically defined areas and monitor improvements in HE control strategies by allowing targeted allocation of resources, including spatial analyses of expenditure and the identification of non-endemic areas or risk for these parasites, and a better comprehension of the role of the environment in clarifying the transmission dynamics of Echinococcus spp. Raising healthcare workers' and travelers' disease awareness and preventive health habits is an urgent agenda. Due to unpredictable future land cover types, prediction of the future with only climatic variables involved needs to be treated cautiously.

[Spatial distribution characteristics of rare and endangered medicinal plant resources in Gansu province].

Gansu province is located at the intersection of the three plateaus(Qinghai-Tibet Plateau, Inner Mongolia Plateau, and Loess Plateau) and the three river basins(Yellow River Basin, Yangtze River Basin, and inland river basin). The complex eco-environment and climate conditions here have created rich and diverse vegetation. Therefore, it is of great significance to study the spatial distribution characteristics of rare and endangered medicinal plant resources in Gansu province for formulating reasonable protection po-licies and promoting the development of medicinal plant industry. The data of rare and endangered medicinal plant resources in 87 counties of Gansu province were collected from results of the fourth general survey. The spatial distribution and the high-or low-value gathering area of rare and endangered medicinal plant resources in Gansu province were analyzed by geostatistical methods such as exploratory spatial data analysis, trend surface analysis, and Anselin Local Moran's I. The eco-environment characteristics of the high-or low-value gathering area were analyzed with the data of vegetation type, soil texture classification, annual mean temperature, annual mean precipitation, and elevation. Furthermore, the relationships of the spatial distribution and diversity with the geographical environment of rare and endangered medicinal plants in Gansu province were analyzed to provide support for the restoration and protection policy making of these plant resources.

[Analysis of the guarantee and enjoyment of patients with occupational pneumoconiosis in Gansu Province].

Objective: To analyze the security situation of patients with occupational pneumoconiosis in Gansu Province to lay the foundation for strengthening the security measures for patients with pneumoconiosis. Methods: In August 2020, a follow-up survey was conducted on the current patients with occupational pneumoconiosis diagnosed and surviving in Gansu Province from 1949 to 2019, to obtain the information of industrial injury insurance, employer compensation, medical insurance, subsistence allowance and so on, and analyze their distribution characteristics. The proportion of patients enjoying various security, medical insurance reimbursement and subsistence allowances was tested by chi square. Results: Among the current patients with occupational pneumoconiosis in Gansu Province, 72.0% (5335/7410) enjoyed the benefits of work-related injury insurance, 8.2% (609/7410) enjoyed the compensation paid by the employer, 91.5% (6780/7410) had medical insurance, and 2.8% (204/7410) had no guarantee. Among the patients with occupational pneumoconiosis, 374 enjoyed the minimum living allowance, accounting for 5.05% (374/7410) ; the first diagnosis period with a high proportion of minimum living allowance was phase Ⅲ, accounting for 15.14% (43/284) . Conclusion: The proportion of medical insurance outpatient and inpatient reimbursement of occupational pneumoconiosis patients in Gansu Province is still at a low level. It is suggested that relevant departments should introduce relevant security policies for workers without fixed employers to reduce the economic burden of patients.

A cross-sectional study of the epidemic situation on COVID-19 in Gansu Province, China - a big data analysis of the national health information platform.

BACKGROUND: In December 2019, a pneumonia caused by SARS-CoV-2 emerged in Wuhan, China and has rapidly spread around the world since then. This study is to explore the patient characteristics and transmission chains of COVID-19 in the population of Gansu province, and support decision-making. METHODS: We collected data from Gansu Province National Health Information Platform. A cross-sectional study was conducted, including patients with COVID-19 confirmed between January 23 and February 6, 2020, and analyzed the gender and age of the patients. We also described the incubation period, consultation time and sources of infection in the cases, and calculated the secondary cases that occurred within Gansu for each imported case. RESULTS: We found thirty-six (53.7%) of the patients were women and thirty-one (46.3%) men, and the median ages were 40 (IQR 31-53) years. Twenty-eight (41.8%) of the 67 cases had a history of direct exposure in Wuhan. Twenty-five (52.2%) cases came from ten families, and we found no clear reports of modes of transmission other than family clusters. The largest number of secondary cases linked to a single source was nine. CONCLUSION: More women than men were diagnosed with COVID-19 in Gansu Province. Although the age range of confirmed cases of COVID-19 in Gansu Province covered almost all age groups, most patients with confirmed COVID-19 tend to be middle aged persons. The most common suspected mode of transmission was through family cluster. Gansu and other settings worldwide should continue to strengthen the utilization of big data in epidemic control.

Epidemiology of Coronavirus Disease in Gansu Province, China, 2020.

To determine the epidemiology of coronavirus disease (COVID-19) in a remote region of China, far from Wuhan, we analyzed the epidemiology of COVID-19 in Gansu Province. From January 23 through February 3, 2020, a total of 35 (64.8%) of 54 reported cases were imported from COVID-19-epidemic areas. Characteristics that differed significantly during the first and second waves of illness in Gansu Province were mean patient age, occupation, having visited epidemic areas, and mode of transportation. Time from infection to illness onset for family clusters was shorter in Gansu Province than in Wuhan, consistent with shortened durations from onset to first medical visit or hospitalization. Spatial distribution pattern analysis indicated hot spots and spatial outliers in Gansu Province. As a result of adequate interventions, transmission of the COVID-19 virus in Gansu Province is decreasing.

First report of cyst nematode (Heterodera elachista) on Zea mays in Gansu Province, China.

The cyst nematodes are important plant-parasitic nematodes and make detrimental economic impacts worldwide. Heterodera elachista attacks rice in Japan (Ohshima 1974), Iran (Tanha et al. 2004) and China (Ding et al. 2012) and also attacks corn in Italy (De Luca et al. 2013) and northeast China (Xiao et al. 2019). Considering this nematode can infect these two most important crops with high reproduction rates, special attention should be paid to avoid its spread to new areas by soil, water, and agricultural practices. A survey for cyst nematodes was performed in fields of corn seed for propagation in September 2018 in Zhangye City, Gansu Province, which is the biggest corn seed production base in China. One hundred seventy four samples were collected by the zig-zag method in about 25 ha corn fields. Each soil sample containing approximately 1 kg soil in total was from the mixture of 20 cores (20 cm in depth and 0.2 cm in diameter). Cysts were detected in 6 out of 174 samples using the sieving-decanting method (Byrd et al. 1983). The six samples from ~ 1.2 ha corn fields in which plants displayed symptoms of dwarf, yellow leaves and earlier wilting had an average of 14 ± 2.8 cysts per 100 g soil. The cysts (n = 30) were dark brown, spherical to lemon shape, protruding, tapered vulva with ambifenestrae separated by a vulva slit, obvious and medium-sized underbridge, few dark-brown vesicles and clear swollen protrusion around underbridge and cyst cuticle with a zigzag pattern. Morphological measurements of the cysts included body length (excluding neck) (range =359.4 to 498.6 µm, mean = 429.5 ± SD 39.3 µm), vulva slit length (34.3 to 42.8, 37.9 ± 2.5), fenestral length (31.2 to 43.8, 38.0 ± 4.4) and width (26.1 to 31.4, 29.3 ± 1.6), underbridge length (74.7 to 82.9, 78.3 ± 2.8). J2 (n = 20) had the following measurements: body length (386.6 to 454.9, 425.3 ± 21.8), stylet length (17.1 to 22.2, 19.2 ± 1.6), stylet knob width (3.4 to 4.3, 3.9 ± 0.3), tail length (50.5 to 60.5, 55.5 ± 3.3) and hyaline tail length (25.0 to 34.6, 29.1 ± 3.1). The morphological characteristics are consistent with the Italian population of H. elachista through the comparison of the measurements. DNA was extracted from a single cyst randomly chosen (n = 5) using the protocol described by Subbotin et al. (2001). The ITS-rDNA and D2/D3 fragments of the 28S rRNA were respectively amplified with universal primers pairs TW81 and AB28 (Subbotin et al. 2001) and D2A and D3B (Castillo et al. 2003), and sequenced (Tsingke Biological Technology, Beijing, China). The consensus ITS sequence (GenBank Accession No. MN699476, 1037 bp) had 98.37 to 99.60% similarity with the H. elachista from corn in Italy (KC618469) and in China (MH712504), and from rice in China (HM560778) and in Iran (AF498391). The D2/D3 sequence (GenBank Accession No. MN699477, 746 bp) exhibited 99.60 to 99.73% similarity with that of H. elachista from rice in China (JN202922, HM560842), and from corn in Italy (KC618462). This nematode population was identified as H. elachista according to the morphological and molecular features. Twenty-day-old corn seedling (cv. Tiannuo) was inoculated with 3000 J2 and eggs in a pot filled with sterile soil. Eight plants were inoculated and two uninoculated plants were used as controls. J2 were found in the stained roots at 10 d after inoculation and J4 were detected at 30 d. These inoculated plants exhibited yellowing and dwarfing similar to the symptoms observed initially in the field, and the control grew normally. After 60 d, the average of 28 cysts were detected from each inoculated plant. This is the first report of H. elachista in Gansu Province, northwest China.

The spatial differentiation of quality of rural life based on natural controlling factors: A case study of Gansu Province, China.

The laws of regional differentiation of county development and influencing factors on the quality of rural life (QRL), affect not only the vital interests of rural residents but also the scientific implementation of rural revitalization strategy. In this paper, taking 87 counties (cities, districts) of Gansu Province as the region of study, we constructed five-dimensional model of QRL index. Then, Pearson correlation, spatial coupling, geographical detector and tradeoff analysis methods were used to analyze the QRL's spatial differentiation and quantitively identify its natural controlling factors. Further, we discussed the mechanism of spatial differentiation of QRL in Gansu Province and provided recommendations for improving QRL. The results show that: (1) QRL in Gansu Province is characterized by spatial heterogeneity and agglomeration, and decreases from west to east. There are five hot spots and four cold spots of QRL. (2) Altitude, slope, precipitation, and distance to the provincial capital (DTTPC) are the natural controlling factors of spatial differentiation of QRL in Gansu Province. Their influences are quantified to be 0.19, 0.37, 0.37 and 0.20, respectively. (3) The tradeoff between QRL and precipitation is the strongest, with root mean square deviation (RMSD) of 0.293. The tradeoff between QRL and altitude/slope/DTTCC are of medium level and decrease successively, with values of 0.238, 0.255 and 0.2 respectively. (4) According to the different influences of natural controlling factors on QRL, Gansu Province was classified into three regional types: natural environment restricted type, resource abundance restricted type and economic location restricted type. Thus, we can improve the QRL on the basis of identifying driving mechanisms in different regions, make policies according to local conditions, and further promote the rural development.

Cancer incidence and mortality in Gansu province, 2012.

OBJECTIVE: Population-based cancer registration data in 2012 from all available cancer registries in Gansu province were collected by the Central Cancer Registry of Gansu. The numbers of new cancer cases and cancer deaths in Gansu province with compiled cancer incidence and mortality rates were estimated. METHODS: In 2015, data from 7 registries in Gansu province were qualified. The pooled data were stratified by area (urban/rural), gender, age group (0, 1.4, 5.9, 10.14, …, 85+) and cancer type. New cancer cases and deaths were estimated using age-specific rates and corresponding population of Gansu province in 2012. The Chinese census data in 2000 and Segi's population were applied for age-standardized rates. All the rates were expressed per 100,000 person-years. RESULTS: Qualified 7 cancer registries (3 urban and 4 rural registries) covered 2,956,560 populations of Gansu province in 2012. The percentage of cases morphologically verified (MV%) and death certificate-only cases (DCO%) were 72.41% and 1.65%, respectively, and the mortality to incidence rate ratio (M/I) was 0.63. It was estimated that there were 575,600 new cancer cases and 331,300 cancer deaths in Gansu province in 2012. The incidence rate was 223.29/100,000 (244.14/100,000 in males and 201.50/100,000 in females), the age-standardized incidence rates by Chinese standard population (ASIRC) and by world standard population (ASIRW) were 208.95/100,000 and 206.41/100,000 with the cumulative incidence rate (0.74 years old) of 22.49%. The crude incidence rate in urban areas was equal to that in rural areas. However, after adjusted by age, the cancer incidence rate in urban was the same as that of rural areas. The crude mortality in Gansu province was 128.54/100,000 (135.04/100,000 in males and 124.43/100,000 in females), the age-standardized mortality rates by Chinese standard population (ASMRC) and by world standard population (ASMRW) were 109.54/100,000 and 108.44/100,000, respectively, and the cumulative mortality rate (0.74 years old) was 12.91%. The crude cancer mortality rate in urban areas was higher than that of rural areas. However, the agestandardized rate in urban areas was the same as that of rural areas. Cancers of stomach, liver, lung, esophagus, female breast, colorectum, cervix, brain, pancreas and ovary were the most common cancers, accounting for about 83.56% of all cancer new cases. Stomach cancer, liver cancer, lung cancer, esophageal cancer, female breast cancer, colorectal cancer, brain cancer, lymphoma, pancreatic cancer and cervix cancer were the leading causes of cancer death, accounting for about 85.58% of all cancer deaths. The burden between urban and rural, males and females was different. CONCLUSIONS: Registration data of Gansu province were qualified to provide basic information on population-based cancer incidence, mortality for cancer prevention and control. The digestive tract cancer burden in Gansu province, especially for males in rural areas, was higher. The incidence rate of female breast cancer was higher in urban areas. Targeted prevention, early detection and treatment programs should be carried out by health department to control the cancer burden.

Distribution and genotyping of hepatitis C virus (HCV) infection in Gansu province, China.

INTRODUCTION: The distribution of common subtypes of hepatitis C virus (HCV) in Gansu province were analyzed. This information provided a theoretical basis for the selection of appropriate antiviral treatment regimens. METHODOLOGY: We collected data on HCV antibody screening tests from 421,802 outpatients and inpatients at the Second Clinical Hospital of Lanzhou University from January 2018 to June 2022. Ribonucleic acid (RNA) viral load, HCV genotypes, and HCV quantification were analyzed retrospectively. The results of HCV positive detection rate, copy number, and genotype distribution were statistically analysed using SPSS 26.0. RESULTS: A total of 421,802 HCV antibody screenings were performed resulting in 4,558 positive cases (1.081%). In addition, 2,345 cases (1.302%) were positive with quantitative HCV antibodies in 180,157 outpatients and inpatients. Quantitative HCV virus RNA was further measured in 2592 outpatients and inpatients. There were 825 positive cases for HCV, with a positivity rate of 31.83%. High-sensitivity quantification of HCV-RNA was performed in 6538 patients, among which 1336 were HCV-RNA positive infections (positivity rate of 20.43%). Among the 1484 genotype tests, 4 genotypes and 10 subtypes were detected, including 4a, 1b, 2a, 2b, 3a, 3b, 6a, 6n, 1b/2a, and 2a/6a, with the majority of results from 2a (51.89%) and 1b (42.72%). CONCLUSIONS: The most prevalent genetic subtype in HCV-positive patients in Gansu was 2a, followed by 1b. In addition, 8 genotype subtypes appeared: 1a, 2b, 3a, 3b, 6a, 6n, 1b/2a and 2a/6a. Understanding the distribution of HCV genes in Gansu province is of significance for the optimization of virus treatment.

[Spatial and Temporal Evolution Characteristics of Carbon Emission from Land Use and Influencing Factors in Gansu Province].

Land ecosystems are the largest carbon sink in the world, and land use change is one of the main factors leading to regional carbon emissions. By studying the spatiotemporal evolution characteristics and influencing factors of land use carbon emissions in Gansu Province from 2000 to 2020, this research aimed to provide a scientific basis and reference for promoting low-carbon land use and low-carbon economic development in Gansu Province. Using land use data and the greenhouse gas emission coefficient method, the study analyzed the growth trend of land use carbon emissions at the city-regional scale in Gansu Province, and the spatiotemporal evolution characteristics at the provincial scale, and identified the controlling factors through principal component analysis. The results showed that： ① From 2000 to 2020, land use carbon emissions in Gansu Province showed an overall increasing trend, from 24.289 3 million tons to 57.739 6 million tons. The first stage from 2000 to 2014 was a significant increase period, whereas the second stage from 2014 to 2020 was a stable and slightly decreasing period. Construction land was the main carbon source, and the carbon intensity continued to increase. ② Spatially, there was an "east high, west low" pattern, with carbon emissions in the eastern part of the province significantly higher than those in the western part. ③ Based on emission characteristics, Gansu Province could be divided into five types of carbon emission zones： slow growth, relatively slow growth, moderate growth, relatively fast growth, and rapid growth. ④ The main reasons for the continuous increase in land use carbon emissions in Gansu Province were economic development level, degree of land use, and energy consumption.

[Spatiotemporal clustering and hot spot analysis of visceral leishmaniasis in Gansu Province from 1993 to 2023].

OBJECTIVE: To investigate the spatiotemporal clustering characteristics of the reported incidence of visceral leishmaniasis (VL) in Gansu Province from 1993 to 2023, so as to provide insights into the containment of VL and prevention of VL recurrence. METHODS: County (district)-level epidemical data of VL in Gansu Province from 1993 to 2023 were collected, and the geographical information database of reported VL incidence in Gansu Province was created according to the county-level administrative code and electronic maps in Gansu Province. In addition, the spatial autocorrelation analysis and hot spot analysis of the reported VL incidence were performed in Gansu Province using the software ArcGIS 10.8. RESULTS: A total of 2 597 VL cases were reported in Gansu Province from 1993 to 2023, with an annual average incidence rate of 3.036/105. Spatial autocorrelation analysis showed spatial clustering of the reported VL incidence in Gansu Province (Moran's I = 0.605, Z = 5.240, P < 0.001), appearing high-high clustering features (Getis-Ord G = 0.080, Z = 4.137, P < 0.001), and high-high clustering of the reported incidence of VL was identified in Diebu County, Tanchang County, Zhouqu County and Wenxian County. Hot spot analysis showed hot-spot areas of the reported VL incidence in Tanchang County, Zhouqu County, Wudu District and Wenxian County along the Bailong River basins and cold-spot areas in Qin'an County and Gangu County. CONCLUSIONS: There was spatial clustering and hot spots of the reported VL incidence in Gansu Province from 1993 to 2023. Intensified surveillance and control is required to prevent the spread of VL.

[Spatio-temporal Differentiation of County Carbon Budget and Territorial Space Optimization Zoning Strategy in Gansu Province from the Perspective of Carbon Neutrality].

Under the background of comprehensively practicing the overall system concept of the "living community" in the new era, incorporating the carbon neutral development goal into the territorial spatial planning and construction and establishing the territorial spatial pattern and optimization strategy in line with the actual development of Gansu Province are of great significance for promoting the comprehensive green low-carbon transformation and high-quality development of regional economy and society. Taking counties in Gansu Province as an example, based on the perspective of carbon neutrality research, the land use carbon budget of 87 counties in Gansu Province in 2010, 2015, and 2021 was calculated and analyzed. GIS spatial analysis and social network analysis were used to further explore their spatial differentiation characteristics and the overall characteristics of the carbon emission spatial correlation network. At last, combined with the main function zoning, the low-carbon oriented land space optimization zoning was carried out, and differentiated low-carbon development strategies were proposed. The results were as follows： ① Carbon emissions in Gansu Province showed an upward trend, but the increase rate decreased, showing a spatial distribution of "high in the central and eastern part of the country, low in the southwest." Construction land was the main carbon source. The carbon uptake showed a spatial distribution of "high in the south and low in the north, high in the west and low in the east." Woodlands were the main carbon sinks. The net carbon emissions showed an increasing trend, and approximately 58.62% of the counties in the province were in a carbon imbalance situation. ② In 2021, the spatial network of county carbon emissions was closely related, showing a "core-edge" pattern. The Chenguan District and Qilihe District were in the core position of the network and received more correlation relationships in the network. The network contacts in Longzhong area were frequent, followed by the contacts in Longdongnan area. ③ Based on carbon emissions, carbon sequestration, and ecological carrying capacity coefficients and using the results of spatial correlation of social networks as role positions, the province was divided into four carbon-neutral sub-districts. At the same time, superimposed analysis of the main function zoning, the county area of the province was reconstructed into seven territorial space zones, and the differentiated regional low-carbon optimization development strategy was proposed for each zone.

[Epidemiological characteristics of visceral leishmaniasis in Gansu Province from 2017 to 2023].

OBJECTIVE: To analyze the epidemiological characteristics of visceral leishmaniasis in Gansu Province from 2017 to 2023, so as to provide insights into formulation of the visceral leishmaniasis control strategy in the province. METHODS: All epidemiological features of confirmed and clinically diagnosed cases of visceral leishmaniasis reported in Gansu Province from January 1, 2017 to December 31, 2023 were retrieved from the Chinese Disease Prevention and Control Information System, and the epidemiological characteristics of visceral leishmaniasis cases were analyzed descriptively. RESULTS: A total of 280 visceral leishmaniasis cases were reported in 39 counties (cities and districts) of Gansu Province from 2017 to 2023, including 258 local cases reported in 21 endemic counties (districts) and 22 imported cases reported in 18 non-endemic areas. Of the 280 cases, there were 262 cases with mountain type zoonotic visceral leishmaniasis (MT-ZVL), 12 cases with desert-type zoonotic visceral leishmaniasis (DT-ZVL), and 6 cases with unknown type. Re-emerging MT-ZVL occurred in Maiji District, Qinzhou District, Lixian County, Kangxian County, Zhenyuan County, Qin'an County and Yongjing County, and re-emerging DT-ZVL occurred in Dunhuang City, while emerging DT-ZVL occurred in Yumen City. The five counties (districts) reporting the highest number of visceral leishmaniasis cases included Wudu District, Wenxian County, Tanchang County, Zhouqu County and Diebu County, and a total of 220 cases were reported in these five counties, accounting for 78.57% of all visceral leishmaniasis cases in the province. Visceral leishmaniasis cases were reported each month throughout the year, with the peak in July. All reported visceral leishmaniasis cases had ages of 6 months to 81 years, including 50.71% (142/280) under 15 years of age, 49.29% (138/280) at ages of 15 years and older, and of all cases under 15 years of age, children at ages of 0 to 3 years were the most commonly affected (27.14%, 76/280). Among 280 visceral leishmaniasis cases, there were 173 males and 107 females with a male to female ratio of 1.62∶1, and farmer was the most common occupation (40.36%), followed by diaspora children (37.86%). CONCLUSIONS: The prevalence of visceral leishmaniasis appeared an overall tendency towards a decline in Gansu Province from 2017 to 2023; however, there are still multiple challenges for visceral leishmaniasis control in the province. Reinforced dog monitoring and management, intensified human health education and improved capability building among professionals are recommended to manage the rebounding and spread of visceral leishmaniasis.

Chinese plasma-derived products supply under the lot release management system in 2007-2011.

In 2007, the Chinese State Food and Drug Administration (SFDA) implemented a management system for lot release of all plasma-derived products. Since then, there have been only a few systematic studies of the blood supply, which is a concern when considering the small amount of plasma collected per capita (approximately 3 L/1000 people). As a result, there may be a threat to the safety of the available blood supply. In this study, we examined the characteristics of the supply of Chinese plasma-derived products. We investigated the reports of lot-released biological products derived from all 8 national or regional regulatory authorities in China from 2007 to 2011. The market supply characteristics of Chinese plasma-derived products were analyzed by reviewing the changes in supply varieties, the batches of lot-released plasma-derived products and the actual supply. As a result, the national regulatory authorities can more accurately develop a specific understanding of the production and quality management information provided by Chinese plasma product manufacturers. The implementation of the lot release system further ensures the clinical validity of the plasma-derived products in China and improves the safety of using plasma-derived products. This work provides an assessment of the future Chinese market supply of plasma-derived products and can function as a theoretical basis for the establishment of hemovigilance.

Food Sources May Affect the Symptom Rates of COVID-19, an Epidemiological Analysis Based on the Public Data in Gansu Province, China, During the Summer Epidemic Cycle in 2022.

According to the public data collected from the Health Commission of Gansu Province, China, regarding the COVID-19 pandemic during the summer epidemic cycle in 2022, the epidemiological analysis showed that the pandemic spread stability and the symptom rate (the number of confirmed cases divided by the sum of the number of asymptomatic cases and the number of confirmed cases) of COVID-19 were different among 3 main epidemic regions, Lanzhou, Linxia, and Gannan; both the symptom rate and the daily instantaneous symptom rate (daily number of confirmed cases divided by the sum of daily number of asymptomatic cases and daily number of confirmed cases) in Lanzhou were substantially higher than those in Linxia and Gannan. The difference in the food sources due to the high difference of the population ethnic composition in the 3 regions was probably the main driver for the difference of the symptom rates among the 3 regions. This work provides potential values for prevention and control of COVID-19 in different regions.

How should rural development be chosen? The mechanism narration of rural regional function: A case study of Gansu Province, China.

Several major changes in China's land policy, economic system, and development strategy have contributed to the continuous transformation of rural patterns and urban-rural relations. The deepening of urban-rural interaction has led to an increasing complexity of rural territorial functions, and the importance of territorial multifunctional mechanisms in the dynamic process of rural development in China has been highlighted. However, the current choice of a rural development model lacks comprehensive thinking that combines the functional mechanisms of rural areas with the elements of the development environment. In this paper, we define and identify the functions of rural areas in Gansu Province, China, and analyze and construct a rural development model by analyzing the interaction between the mechanisms of rural regional functions and the "rural revitalization" strategy. We find that under the control of "rural revitalization," a sustainable development tool, the countryside is constantly developing into a multifunctional complex, and its development mode should be dynamically adjusted according to functional changes. Finally, we summarize the general evolutionary cycle of the multifunctional system of rural regions and attempt to extrapolate the dynamic developmental village type classification process of "rural revitalization" from the perspective of rural regional functions in China.

Variation characteristics of climatic potential yield and resources utilization efficiency of maize under the background of climate change in agro-pastoral transitional zone of Gansu, China.

To evaluate the effects of changes in radiation, accumulative temperature, precipitation and climate resources on climate resource utilization efficiency in the agro-pastoral transitional zone of Gansu Province, we analyzed the variations of climate potential yield loss rate, light, heat, precipitation and comprehensive utilization efficiency of climate resources in the agro-pastoral transitional zone of Gansu Province by the step-by-step correction and indexation method, with the 1971-2020 weather data from 45 meteorological sites and the maize phenology data. The results showed that solar radiation showed fluctuating downward trend at a rate of -22.03 MJ·m-2·(10 a)-1, the accumulative ≥11 ℃ temperature showed significant upward trend at a rate of 60.89 ℃·(10 a)-1, the precipitation showed slow upward trend at a rate of 2.05 mm·(10 a)-1 during the study period. The climate potential yield loss rate due to temperature and precipitation limitations was relatively high in Gannan and the northern part of Longzhong, while it was relatively low in the most areas of Longdong. Except for the central part of the study area and part of Longdong, the climate potential yield loss rate due to temperature and precipitation limitations in other regions of the study area showed decreased trend at the rate of -2.0%·(10 a)-1 and -0.6%·(10 a)-1. The low-value areas of light and heat utilization efficiency distributed in the northern and southern parts of Longzhong and part of Gannan, the low-value area of precipitation utilization efficiency distributed in Gannan, and the low value of comprehensive utilization efficiency distributed in Lanzhou and Baiyin which were 0.41 and 0.47, respectively. Longdong was the most suitable for maize planting, where the climate resources utilization efficiency of maize was highest, followed by Gannan and Longzhong. The average tendency rate of light, heat, precipitation and climate resources comprehensive utilization efficiency in the study area showed increased trend, which were 0.1%·(10 a)-1, 0.07 kg·hm-2·â„ƒ-1·d-1·(10 a)-1, 1.17 kg·hm-2·mm-1·(10 a)-1 and 0.05 ·(10 a)-1, respectively, showing a good potential to increase maize yield.