Characteristics and source apportionment of black carbon the urban and desert underlying surfaces.

The spatial distribution of black carbon (BC) concentrations was highly variable across different underlying surfaces. Differences in meteorological conditions and emission sources led to great temporal and spatial variations in BC characteristics. As the most important absorbing aerosol, BC can affect radiation, clouds, and surface snow. BC mass concentrations were measured using a seven channel aethalometer (AE-33) in the Urumqi and Taklimakan Deserts from January to December 2022. The aethalometer data, potential source contribution function (PSCF), and concentration-weighted trajectory (CWT) models were used to analyse the variation characteristics, potential sources, and affected areas. Results showed that the BC concentrations in the Taklamakan Desert and Urumqi were in the range of 0-500 ng·m-3, accounting for 66.20 % and 59.50 % of the total, respectively. The backward trajectory simulation of BC mass concentration in the tower and Urumqi using the HYSPLIT model found that the airflow trajectories in the tower in summer corresponded to the BC concentration in the following order: trajectory 4 > trajectory 3 > trajectory 2 > trajectory 1, and trajectory 4 originated from the Turpan airflow accounting for 46.19 % of the total, which corresponded to the highest BC concentration of 621.73 ng·m-3. The trajectories of the airflow in Urumqi in summer corresponded to the BC concentration in the order of high to low, and the BC concentration in summer corresponded to the highest concentration in the Turpan airflow. BC concentrations arranged from high to low were trajectory 1 > trajectory 5 > trajectory 3 > trajectory 4 > trajectory 2. Trajectories 3, 4, and 5 airflow directions were the same, and the airflow trajectory accounted for 47.48 %, corresponding to BC concentrations of 599.82 ng·m-3, 579.99 ng·m-3, and 555.85 ng·m-3, respectively. Tower in the spring compared with other seasons of the CWT value of >400 ng·m-3 had the widest coverage, and Urumqi had more source areas contributing to moderate pollution concentration weights in winter (400 ng·m-3 < CWT < 800 ng·m-3). The conclusions of this study provide a scientific basis for regional environmental management and the formulation of air pollution measures in Xinjiang.

Bio-availability of potential trace elements in urban dust, soil, and plants in arid northwest China.

Potential trace elements pollution in cities poses a threat to the environment and human health. Bio-availability affects toxicity levels of potential trace elementss on organisms. This study focused on exploring the relationship between soil, plant, and atmospheric dust pollution in Urumqi, a typical city in western China. It aims to help reduce pollution and protect residents' health. The following conclusions were drawn: 1) potential trace elementss like Cr, Pb, As, and Ni are more prevalent in atmospheric dust and soil than in plants. Chromium was in the first group, Cadmium and Mercury were in the second, and Plumb, Arsenic, and Nickel were in the third. Atmospheric dust and soil exhibit a significantly higher heavy metal content than plants. For example, The atmospheric dust summary Chromium content was up to 88 mg/kg. 2) Soil, atmospheric dust, and plants have the highest amount of residual form. Residual form had the highest percentage average of 53.3%, whereas Organic matter bound form had the lowest percentage of just 7.7%. The plants contained less residual heavy metal than the soil and atmospheric dust. 3) The correlation coefficient between the carbonated form content of Cd of soil and atmospheric dust is 0.95, which is closely related. Other potential trace elements show similar correlations in their bio-available contents in soil, plants, and atmospheric dust.This study suggests that in urban area, the focus should be on converting potential trace elements into residual form instead of increasing plants' absorption of potential trace elements.

The current research in China primarily examines heavy metal pollution in the atmosphere, soil, and plants individually. Although there is significant international research on heavy metal bio-availability in the environment, few studies have focused on the presence of heavy metals in soil, vegetation, and atmospheric dust.Therefore, this study focused on Urumqi, the capital of Xinjiang, a typical oasis city in the arid region. To understand the bio-availability and morphological characteristics of heavy metals (Cd, Pb, Hg, Cr, As, Ni) in the soil-plant-atmosphere of its urban expressway.This study aims to establish a theoretical basis for understanding the pollution hazards caused by heavy metals in oasis cities. It will have practical significance in maintaining urban ecology, promoting sustainable development, and safeguarding citizens' health.

Whole Genome Sequence-Based Analyses of Drug Resistance Characteristics, Genetic Diversity, and Transmission Dynamics of Drug-Resistant Mycobacterium tuberculosis in Urumqi City.

Objective: This study aims to analyze the drug resistance spectrum, genetic diversity, and transmission dynamics to provide a basis for the prevention and control of drug-resistant (DR) tuberculosis (TB) epidemics. Methods: This retrospective study is based on routine national drug resistance surveillance. The demographic, epidemiological, and clinical information on DR-TB patients from 2016 to 2021 was collected and used for phenotypic drug susceptibility testing and whole-genome sequencing. Results: It was indicated that L2.2.1 was the dominant lineage in Urumqi. The drug resistance spectrum in Urumqi was narrow, which means more drug combinations can be used for clinical treatment. Furthermore, mutations identification of drug-resistance gene katG, rpoB, embA/B, rrs, rpsL, eis, gyrA/B, folC and tryA are important for clinical drug use. However, mutations in cross-resistance genes rrs have limited guidance for clinical selection of KM, CPM and AK. Moreover, there is an increased risk of cluster transmission of DR-TB, and the difference in clustering rate among L2, L3, and L4 was not statistically significant (χ2 = 2.6410, p = 0.2670). Conclusion: In the Urumqi, DR-TB has a complex prevalence state, a narrow drug resistance spectrum, and a high clustering rate and burden of drug resistance. To reduce the burden of DR-TB, related research should be strengthened, and the development of prevention, control, and treatment strategies should be accelerated.

Influence of meteorological and ambient air quality factors on Artemisia pollen counts in Urumqi, Northwest China.

The exposure of Artemisia pollen in the air to humans causes adverse allergenic effects on the respiratory system. However, the relationship between Artemisia pollen counts and meteorological and air quality factors in the arid and semiarid cities of northwest China has not attracted significant attention. Here, we observed the seasonal pollen counts of Artemisia, as well as the main meteorological variables (temperature/T, relative humidity/RH, and wind speed/WS, and ambient air quality factors (PM2.5, PM10, and CO2). This was conducted from May to September 2021 at three sampling sites in Urumqi, Xinjiang. The results showed that Artemisia pollen counts gradually increased from May (121 grains/1000 mm2) to August (563 grains/1000 mm2) and decreased till the end of the sampling period in September (247 grains/1000 mm2). Pearson correlation analysis revealed a significant positive correlation between the variation in Artemisia pollen counts and PM2.5 (R = 0.545, P < 0.01), the average temperature (R = 0.424, P < 0.05), and PM10 (R = 0.466, P < 0.05). Oppositely, a significant negative correlation was observed between the RH (R = 0.503, P < 0.01) and WS (R = 0.653, P < 0.01). Variation partitioning analysis showed that meteorological factors contributed the highest (44 %) to the variation in pollen counts. The study results provide basic information for future case studies on allergenic plant pollen in Urumqi and serve as a reference for the development of sustainable healthy cities in arid regions.

Influence of Fertilization on Growth and Lead Content of Pepper under Lead Stress.

To investigate the effect of fertilization on Pb content in vegetables, pepper was planted in L1645 (the 5 influencing factors are fertilizers (N, P, K), organic fertilizers (sheep manure) and Pb2+; the 4 levels are blank, low, medium and high; a total of 16 treatments) pot orthogonal experiment. The effects of fertilizers on the growth and Pb content in various parts of pepper under Pb stress were analyzed. The results showed that: (1) The Pb content in pepper fruit ranged from 0.011 mg·kg-1 to 0.085 mg·kg-1, which did not exceed the limit value (0.1 mg·kg-1) in the National Standard for Food Safety-Limit of Contaminants in Food (GB2762-2017); (2) The effect order of fertilization on pepper fruit weight was P2O5 > sheep manure > N > K2O; The horizontal combination of factors that promoted the maximum fruit weight of pepper was N (0.15 g·kg-1), P2O5 (0.225 g·kg-1), K2O (0.15 g·kg-1) and sheep manure (9 g·kg-1); (3) The order of fertilizer effects on Pb content in pepper fruit was Pb2+ > K2O > N = sheep manure > P2O5; the factor level combination that resulted in the maximum Pb content in pepper fruits was N (0.15 g·kg-1), P2O5 (0 g·kg-1), K2O (0.45 g·kg-1), sheep manure (6 g·kg-1) and Pb2+ (350 mg·kg-1); (4) Based on the soil fertility characteristics of Urumqi, the recommended optimal fertilizer application rate was: high phosphorus fertilizer P2O5 (495 kg·hm-2), low-level potassium fertilizer K2O (330 kg·hm-2), medium-level nitrogen fertilizer N (660 kg·hm-2) (or low-level nitrogen fertilizer N (330 kg·hm-2) + high-level organic manure sheep manure (19,800 kg·hm-2), which can achieve high yield while ensuring that the Pb content in the fruits does not exceed the standard. Strengthening control of effective and reasonable fertilization methods in Urumqi agricultural land is helpful to reduce the Pb content in vegetables.

Prevalence and influencing factors of sleep disorders among preschool children in Urumqi city: a cross-sectional survey.

BACKGROUND: Sleep disorders refer to physiological and psychological states that cause adverse consequences due to the inability to fall asleep or poor sleep quality. The prevalence of sleep disorders varies greatly in different countries and regions due to different causes. This study aimed to investigate the prevalence and influencing factors of sleep disorders among preschool children in Urumqi city, China. METHODS: A cross-sectional study was conducted with stratified random cluster sampling. Children aged 3-6 years old in one kindergarten randomly selected from each of the 8 districts of Urumqi from March to July 2022, and their parents were surveyed with a sleep quality questionnaire. RESULTS: The prevalence of sleep disorders among preschool children in Urumqi was 14.29% (191/1336), and the prevalence of different symptoms was 42.81% for limb movements, 19.61% for snoring, 18.11% for bruxism, 16.39% for sleep talking, 12.57% for sweating, 11.60% for nocturnal awakening, 8.46% for nightmares, 6.89% for bed wetting, 3.74% for apnea, and 3.29% for sleepwalking. The prevalence of body movements, snoring, sweating, night-wake, nightmares, bed-wetting, apnea, and sleepwalking among different ethnicities were significantly different (P < 0.05). Multivariate analysis revealed that the major risk factors of sleep disorders were difficulty adapting to new environments, unwillingness to express emotions, inconsistent attitudes of the family toward children's education, running before bedtime, strict family education methods, etc. CONCLUSION: The prevalence of sleep disorders in preschool children in Urumqi is lower than the average level reported in other studies. Many factors affect the prevalence of sleep disorders in preschool children, but it is necessary to focus on the ability to adapt to new environments, psychological problems, and the impact of family education on sleep disorders. Further studies on the prevention and treatment of sleep disorders are needed for different ethnicities.

Assessment of air quality before and during the COVID-19 and its potential health impacts in an arid oasis city: Urumqi, China.

As a key node city of the "Silk Road Economic Belt" Urumqi has been listed as one of the ten most polluted cities in the world, posing a serious threat to the urban environment and residents' health. This study analyzed the air quality before and during the COVID-19 (Coronavirus disease 2019) pandemic and its potential health effects based on the data of PM2.5, PM10, SO2, NO2, CO, and O3_8h levels from 10 air quality monitoring stations in Urumqi from January 1, 2017, to December 31, 2021. As per the results, the concentrations of the air pollutants PM2.5, PM10, SO2, NO2, CO, and O3_8h in Urumqi from 2017 to 2021 showed a cyclical trend, and the implementation of COVID-19 prevention and control measures could effectively reduce the concentration(ρ) of air pollutants. The mean value of ρ(PM2.5) decreased from 2017 to 2021, whereas ρ(O3_8h) showed a waveform change trend (increased in 2017-2018, decreased in 2018-2020, and increased after 2020). Meanwhile, the maximum annual average values of ρ(PM2.5) and ρ(O3_8h) for the six monitoring stations during 2017-2021 occurred at sites S2 (74.37 µg m-3) and S6 (91.80 µg m-3), respectively; rapid industrialization had a greater impact on PM2.5 and O3_8h concentrations compared to commercial and residential areas. In addition, the air quality index data series can characterize the fluctuation trend of PM2.5. The high pollution levels (Class IV and V) of the air pollutants PM2.5 and O3_8h in Urumqi have been decreasing annually, and good days can account for 80-95% of the total number of days in the year, indicating that the number of days with a potential threat to residents' health is gradually decreasing. Therefore, more attention should be paid in controlling and managing air pollution in Urumqi.

Distinct soil microplastic distributions under various farmland-use types around Urumqi, China.

Very little is known about the occurrence of microplastics in the soils of various land uses, especially their distributional characteristics in the soils of arid areas. In this study, 24 sampling sites across three soil layers were investigated for three different farmland-use types (greenhouses, crop fields and vegetable fields) in the main agricultural and pastoral areas around Urumqi, China. The results demonstrated that the dominant sizes of soil microplastics were 0.2-0.5 and 0.5-1.0 mm, the main shape was film (85.93 %), the main color was white, and the main polymer was polyethylene (93.1 %), indicating that most microplastics derive from the damage to residual mulches. The microplastics abundance was highest in the greenhouse plots (7763 ± 2773 items/kg), followed by the vegetable plots (4128 ± 2235 items/kg) and then the crop fields (3178 ± 3172 items/kg). No significant differences were observed among the abundances of microplastics in the 0-10 cm (1822 ± 1345 items/kg), 10-20 cm (1566 ± 1139 items/kg) and 20-30 cm (1309 ± 1028 items/kg) layers, suggesting that microplastics can migrate to the deeper soil layer and are strongly influenced by tillage disturbance. The abundance of microplastics in the north of Urumqi was found to be higher than in the south, which is closely related to the division of agricultural functional zones and the intensity of agricultural management practices. It was found that different cropping characteristics and modes of agricultural use affect the abundance and migration of microplastics in various farmland-use types, and thus their distribution. This study provides important data for follow-up research on microplastics in arid terrestrial ecosystems, and corresponding policy-making on the management of these materials.

Investigation and analysis of myopia and ocular biological parameters of primary and secondary school students in Urumqi / 国际眼科杂志(Guoji Yanke Zazhi)

AIM: To investigate the differences of myopia and ocular biological parameters of primary and middle school students in Urumqi.METHODS: A cross-sectional survey. A total of 2 495 primary and middle school students aged 7 to 18 from 4 schools in Urumqi were selected by judgemental sampling from September 2021 to November 2021 for relevant eye examination. The differences of ocular biological parameters and refractive status of students of different ages, genders and nationalities were compared, and the correlation between spherical equivalent(SE)and ocular biological parameters was analyzed.RESULTS: The detection rate of poor vision among the students was 80.36%, the detection rate of myopia was 55.91%, and the detection rate of astigmatism was 42.96%, among which the detection rate of low myopia was 63.80%, the detection rate of moderate myopia was 27.60%, and the detection rate of high myopia was 8.60%. There were significant differences in the detection rate of poor vision, myopia, astigmatism, SE and some ocular biological parameters among students of different ages and nationalities(all P<0.05). Among them, the detection rate of myopia, astigmatism and poor vision among Uygur and Kazakh ethnic groups was significantly lower than that of Han. The detection rate of poor vision and myopia among boys was lower than that among girls, while the detection rate of astigmatism was higher than that of girls. Spearman correlation analysis showed that axis length of eye, axial length to axial ratio, anterior chamber depth, and pupil diameter were negatively correlated with SE(rs=-0.664, -0.724, -0.320, -0.086, all P<0.001), and lens thickness was positively correlated with SE(rs=0.147, P<0.001).CONCLUSION: The prevalence of myopia among primary and secondary school students in Urumqi is high, and there are differences in the distribution of ocular biological parameters among children and adolescents of different ages and ethnicities.

Spatiotemporal Evolution and Driving Forces of Vegetation Cover in the Urumqi River Basin.

It is important to determine long-term changes in vegetation cover, and the associated driving forces, to better understand the natural and human-induced factors affecting vegetation growth. We calculated the fractional vegetation coverage (FVC) of the Urumqi River basin and selected seven natural factors (the clay and sand contents of surface soils, elevation, aspect, slope, precipitation and temperature) and one human factor (land use type). We then used the Sen-Man-Kendall method to calculate the changing trend of the FVC from 2000 to 2020. We used the optimal parameters-based geographical detector (OPGD) model to quantitatively analyze the influence of each factor on the change in vegetation coverage in the basin. The FVC of the Urumqi River basin fluctuated from 2000 to 2020, with average values between 0.22 and 0.33. The areas with no and low vegetation coverage accounted for two-thirds of the total area, whereas the areas with a medium, medium-high and high FVC accounted for one-third of the total area. The upper reaches of the river basin are glacial and forest areas with no vegetation coverage and a high FVC. The middle reaches are concentrated in areas of urban construction with a medium FVC. The lower reaches are in unstable farmland with a medium and high FVC and deserts with a low FVC and no vegetation. From the perspective of the change trend, the areas with an improved FVC accounted for 62.54% of the basin, stable areas accounted for 5.66% and degraded areas accounted for 31.8%. The FVC showed an increasing trend in the study area. The improvement was mainly in the areas of urban construction and desert. Degradation occurred in the high-elevation areas, whereas the transitional zone was unchanged. The analysis of driving forces showed that the human factor explained more of the changes in the FVC than the natural factors in the order: land use type (0.244) > temperature (0.216) > elevation (0.205) > soil clay content (0.172) > precipitation (0.163) > soil sand content (0.138) > slope (0.059) > aspect (0.014). Apart from aspect, the explanatory power (Q value) of the interaction of each factor was higher than that of the single factor. Risk detection showed that each factor had an interval in which the change in the FVC was inhibited or promoted. The optimum elevation interval of the study area was 1300-2700 m and the greatest inhibition of the FVC was seen above 3540 m. Too much or too little precipitation inhibited vegetation coverage.

Urban air quality in Xinjiang and snow chemistry of Urumqi Glacier No. 1 during COVID-19's restrictions.

The unprecedented COVID-19 outbreak impacted the world in many aspects. Air pollutants were largely reduced in cities worldwide in 2020. Using samples from two snow pits dug separately in 2019 and 2020 in Urumqi Glacier No. 1 (UG1) in the Xinjiang Uygur Autonomous Region (Xinjiang), China, we measured water-stable isotopes, soluble ions, and black and organic carbon (BC and OC). Both carbon types show no significant variations in the snow-pit profiles dated from 2018 through 2020. The deposition of anthropogenically induced soluble ions (K+, Cl-, SO42-, and NO3-) in the snow decreased to 20-40% of their respective concentrations between 2019 and 2020; however, they increased 2- to fourfold from 2018 to 2019. We studied the daily concentrations of SO2 (2019-2020), NO2 (2015-2020), CO (2019-2020), and PM2.5 (2019-2020) measured in the sixteen major cities and towns across Xinjiang. The variabilities in these air pollutants were supposed to illustrate the air quality in the urban area and represent the change in the source area. The NO2 decreased in response to mobility restrictions imposed by local governments, while SO2, CO, and PM2.5 did not consistently correspond. This difference indicates that the restriction measures primarily affected traffic. The increases in chemical species in the snow from 2018 to 2019 and the subsequent decreases from 2019 to 2020 were consistent with the variations in SO2 and NO2 measured in urban air and estimated by MERRA-2 model. Therefore, the pandemic could possibly have an impact on snow chemistry of the Tien-Shan glaciers via reduced traffic and industrial intensity; more evidence would be obtained from ice cores, tree rings, and other archives in the future.

Characteristics and controls of vegetation and diversity changes monitored with an unmanned aerial vehicle (UAV) in the foreland of the Urumqi Glacier No. 1, Tianshan, China.

Exposed surfaces following glacial retreat are ideal field laboratories for studying primary vegetation succession. Many related studies based on ground sampling methods have been performed worldwide in proglacial zones, but studies on species diversity and vegetation succession using aerial photography have been rare. In this study, we investigated soil organic carbon (SOC), total nitrogen (TN), plant species diversity, and fractional vegetation cover (FVC) along a chronosequence within the foreland of Urumqi Glacier No. 1 by combining field sampling and aerial photography. We then analysed soil development and vegetation succession along distance (distance from glacier terminus) and time (terrain age) gradients as well as the relationships between topographic and environmental variables (aspect, slope, SOC, and TN), distance, time, and species distributions. The results indicated that: (1) plant diversity and FVC showed increasing trends with increases in distance and terrain age, whereas soil nutrient content varied nonlinearly; (2) Silene gonosperma, Leontopodium leontopodioides, and Saussurea gnaphalodes were the dominant species in the early, transient, and later succession stages, respectively. Cancrinia chrysocephala occurred in all stages and had a high abundance in the early and later stages; and (3) the relationships of FVC with soil nutrient content were nonlinear. Moreover, distance and site age played important roles in species distribution. These findings confirm that distance and terrain age positively affect vegetation succession. The increase in FVC facilitated the accumulation of soil nutrition, but this trend was affected by the rapid growth of plants. Caryophyllaceae and Asteraceae were the most common plants during the succession stages, and the former tended to colonise in the early succession stage. We conclude that the UAV-based method exhibits a high application potential for assessing vegetation dynamics in glacier forelands, which has a significance for long-term and repeated monitoring on the process of vegetation colonisation and succession in deglaciated areas.

The Relationship between Urban Vibrancy and Built Environment: An Empirical Study from an Emerging City in an Arid Region.

Creating a vital and lively urban environment is an inherent requirement of urban sustainable development, and understanding urban vibrancy is helpful for urban development policy making. The urban vibrancy theory needs more empirical supplementation and more evidence for the effect of the built environment on urban vibrancy. We use multisource urban spatial information data, including real-time population distribution (RPD) data and small catering business (SCB) data; quantitatively measure urban vibrancy; and build a comparative framework to explore the effect of the built environment on the urban vibrancy of a northwestern emerging city in China. The results demonstrate that the two urban vibrancy metrics present a spatial distribution pattern that is high in the south and low in the north areas of the city with significant spatial aggregation. Land-use intensity and diversity have strong positive effects on urban vibrancy but present a different pattern of effects on the two vibrancy measures. The influences on urban vibrancy of distance to the district center and distance to the nearest commercial complex are spatially complementary in the study area, and the effect of accessibility factors is weak. Our findings suggest that a somewhat cautious approach is required in the application of these classical planning theories to Urumqi.

Humidity and PM2.5 composition determine atmospheric light extinction in the arid region of northwest China.

Atmospheric visibility can directly reflect the air quality. In this study, we measured water-soluble ions (WSIs), organic and element carbon (OC and EC) in PM2.5 from September 2017 to August 2018 in Urumqi, NW China. The results show that SO42-, NO3- and NH4+ were the major WSIs, together accounting for 7.32%-84.12% of PM2.5 mass. Total carbon (TC=OC+EC) accounted for 12.12% of PM2.5 mass on average. And OC/EC > 2 indicated the formation of secondary organic carbon (SOC). The levels of SO42-, NO3- and NH4+ in low visibility days were much higher than those in high visibility days. Relative humidity (RH) played a key role in affecting visibility. The extinction coefficient (bext) that estimated via Koschmieder formula with visibility was the highest in winter (1441.05 ± 739.95 Mm-1), and the lowest in summer (128.58 ± 58.00 Mm-1). The bext that estimated via IMPROVE formula with PM2.5 chemical component was mainly contributed by (NH4)2SO4 and NH4NO3. The bext values calculated by both approaches presented a good correlation with each other (R2 = 0.87). Multiple linear regression (MLR) method was further employed to reconstruct the empirical regression model of visibility as a function of PM2.5 chemical components, NO2 and RH. The results of source apportionment by Positive Matrix Factorization (PMF) model showed that residential coal combustion and vehicle emissions were the major sources of bext.

Epidemiological characteristics of varicella in primary and middle schools， Urumqi， Xinjiang， 2014-2018 / 上海预防医学

Objective:To evaluate the epidemiological trend of varicella（chickenpox）in Urumqi， this retrospective study was performed by using the school surveillance data between 2014 and 2018. Methods:Descriptive epidemiology method was used to analyze the data of varicella cases from school infectious disease prevention and control information management system from 2014 to 2018. Results:A total of 4 910 cases of varicella were reported in primary and secondary schools， with an average incidence of 290.73/100 000 per year. Primary school students accounted for 60.6%， middle school students for 27.4% and high school students for 12.0%. Among them， there were 2 595 boys and 2 315 girls with sex ratio of 1.12∶1. Two seasonal peaks of varicella incidence were observed every year， from March to June and from November to January of next year. Conclusion:Primary schools are the major places of varicella outbreak and should be the priority places for prevention and control， but the prevention and education in boarding schools should not be neglected. In areas with high incidence of varicella， it is vital to focus on prevention to avoid the infectious diseases spreading and outbreak.

Characterization and Comparison of Genetic Variation in Clinical Varicella-Zoster Virus Isolates Collected from Shanghai and Urumqi, China.

Varicella-zoster virus (VZV) is a ubiquitous human herpesvirus that causes chickenpox and zoster. Considering that VZV is a relatively and genetically stable virus, its global surveillance clades provide essential information for VZV evolution, immigration, and importation of different viral strains and recombination events. Eighty-eight VZV isolates from China (Shanghai and Urumqi) were genotyped using a scattered single-nucleotide polymorphism method in this prospective study. Our results were based on sequencing the open reading frames 1, 6, 12, 16, 17, 21, 22, 35, 37, 38, 50, 54, 55, 56, 60, and 66. We found that the majority of these 88 strains (81.8%) belonged to Clade 2 with significantly high homogeneity from Shanghai. However, in the Urumqi area, some strains were grouped to Clade 5, and some could not be attributed to any of the established VZV clades, although the majority of Urumqi strains belonged to Clade 2. Our results illustrated that due to geographical location, VZV could undergo genetic recombination, suggesting that VZV diversity is more complicated in certain areas and geographical separation contributes to VZV complexity.

Detection of Ancestry Information of Urumqi Mongolians Based on the AIM-InDels Loci Multiplex System.

ABSTRACT: Objective To explore the genetic background and structure of Urumqi Mongolians, the previously developed 39-AIM-InDels panel for ancestry inference was utilized in the present study. Methods The blood samples of 145 unrelated healthy Urumqi Mongolian individuals were collected and genotyped. The compositions of ancestry information of Urumqi Mongolians were studied with 17 different populations from three continents （East Asia, Europe and Africa） as reference populations. Then, multiple population genetics and bioinformatics analysis methods were applied, the Fst and DA values between matched populations were compared and analyzed, PCA analysis was performed and a phylogenetic tree was constructed. The proportions of ancestry information components of Urumqi Mongolians were analyzed with Structure software, etc. Results The ancestry information components of Urumqi Mongolian group in different intercontinental populations accounted for 89%, 7%, and 3% of East Asian, European, and African populations, respectively. Compared with other intercontinental populations, Urumqi Mongolian group and East Asian populations have lower Fst and DA values, and they were in the same cluster in PCA analysis as well. In a phylogenetic tree, the Urumqi Mongolian group was in the same branch as East Asian populations. Conclusion Urumqi Mongolian group had relatively close genetic relationships with East Asian populations, and the proportion of its East Asian ancestry was about 89%.

Prevalence and prediction of pre-hospital medical trauma in Urumqi / 中华急诊医学杂志

Objective@#To investigate the current situation of pre-hospital trauma emergency medical care of Urumqi in 2011-2018 and predict the situation in the next five years, so as to provide a basis for rational allocation of pre-hospital emergency resources and improvement of health service system.@*Methods@#A total of 427 754 pre-hospital emergency patients were collected from January 1, 2011 to December 31, 2008 in Urumqi. Epidemiological methods were performed for statistical description and analysis. The single-factor gray model [GM (1,1)], multi-factor grey model and moving average model (MA1) was established for predicting the number of pre-hospital trauma patients each year. The single-factor gray model [GM (1,1)] and SARIMA model were used for the seasonal prediction.@*Results@#The male-female ratio of pre-hospital trauma patients was 1.98:1 and the incidence rate of male patients (534.91/100 000) was significantly higher than that of female patients (274.88/100 000) (χ2=7 659.707, P<0.01), and the incidence rate of male patients was 1.95 times higher than that of female patients. The trauma patients aged 35-59 years accounted for the largest proportion (42%), and the incidence of the disease was the highest among those aged≥ 60 years old (644.23/100 000). The incidence of pre-hospital trauma increased year by year (from 408.86/100 000 in 2011 to 550.02/100 000 in 2017), with a high incidence in summer (27 123, 31.03%), especially in August (9 535, 10.91%), most of which occurred in the new urban area (high-tech zone) (23 157, 26.50%). The single-factor gray model [GM (1,1)] , multi-factor gray model, and moving average model (MA1) predicted that the total number of pre-hospital trauma patients in 2023 was 13 118, 11 715 and 13 305, respectively, and the MAE were 451.125 0, 607.428 6, and 205.125 0, respectively. The single-factor gray model [GM (1,1)] and SARIMA model predicted the value in the summer of 2023 would be 3 638 and 4 999, respectively, and the MAE were 47.129 0 and 110.370 4, respectively.@*Conclusions@#The pre-hospital trauma in Urumqi is mainly male and young work-age adults, the incidence of the elderly is the highest, summer is the season of high incidence, and the new urban area (high-tech zone) is the primary district. The moving average model (MA1) model has a more accurate annual prediction, and the single-factor gray model [GM (1,1)] is the best model for seasonal prediction. The pre-hospital trauma emergency medical care demand will continue to increase in the next five years. The health administrative department should enlarge the allocation of pre-hospital emergency resources and improve the emergency service capabilities and efficiencies.

Prevalence and prediction of pre-hospital medical trauma in Urumqi / 中华急诊医学杂志

Objective To investigate the current situation of pre-hospital trauma emergency medical care of Urumqi in 2011-2018 and predict the situation in the next five years,so as to provide a basis for rational allocation of pre-hospital emergency resources and improvement of health service system.Methods A total of 427 754 pre-hospital emergency patients were collected from January 1,2011 to December 31,2008 in Urumqi.Epidemiological methods were performed for statistical description and analysis.The single-factor gray model [GM (1,1)],multi-factor grey model and moving average model (MA1) was established for predicting the number of pre-hospital trauma patients each year.The single-factor gray model [GM (1,1)] and SARIMA model were used for the seasonal prediction.Results The male-female ratio of pre-hospital trauma patients was 1.98:1 and the incidence rate of male patients (534.91/100 000) was significantly higher than that of female patients (274.88/100 000) (x2=7 659.707,P＜0.01),and the incidence rate of male patients was 1.95 times higher than that of female patients.The trauma patients aged 35-59 years accounted for the largest proportion (42％),and the incidence of the disease was the highest among those aged ≥ 60 years old (644.23/100 000).The incidence ofpre-hospital trauma increased year by year (from 408.86/100 000 in 2011 to 550.02/100 000 in 2017),with a high incidence in summer (27 123,31.03％),especially in August (9 535,10.91％),most of which occurred in the new urban area (high-tech zone) (23 157,26.50％).The single-factor gray model [GM (1,1)],multi-factor gray model,and moving average model (MA1) predicted that the total number of pre-hospital trauma patients in 2023 was 13 118,11 715 and 13 305,respectively,and the MAE were 451.125 0,607.428 6,and 205.125 0,respectively.The single-factor gray model [GM (1,1)] and SARIMA model predicted the value in the summer of 2023 would be 3 638 and 4 999,respectively,and the MAE were 47.129 0 and 110.370 4,respectively.Conclusions The pre-hospital trauma in Urumqi is mainly male and young work-age adults,the incidence of the elderly is the highest,summer is the season of high incidence,and the new urban area (high-tech zone) is the primary district.The moving average model (MA1) model has a more accurate annual prediction,and the single-factor gray model [GM (1,1)] is the best model for seasonal prediction.The pre-hospital trauma emergency medical care demand will continue to increase in the next five years.The health administrative department should enlarge the allocation of pre-hospital emergency resources and improve the emergency service capabilities and efficiencies.

Detection of Ancestry Information of Urumqi Mongolians Based on the AIM-InDels Loci Multiplex System / 法医学杂志

Objective To explore the genetic background and structure of Urumqi Mongolians, the previously developed 39-AIM-InDels panel for ancestry inference was utilized in the present study. Methods The blood samples of 145 unrelated healthy Urumqi Mongolian individuals were collected and genotyped. The compositions of ancestry information of Urumqi Mongolians were studied with 17 different populations from three continents （East Asia, Europe and Africa） as reference populations. Then, multiple population genetics and bioinformatics analysis methods were applied, the Fst and DA values between matched populations were compared and analyzed, PCA analysis was performed and a phylogenetic tree was constructed. The proportions of ancestry information components of Urumqi Mongolians were analyzed with Structure software, etc. Results The ancestry information components of Urumqi Mongolian group in different intercontinental populations accounted for 89%, 7%, and 3% of East Asian, European, and African populations, respectively. Compared with other intercontinental populations, Urumqi Mongolian group and East Asian populations have lower Fst and DA values, and they were in the same cluster in PCA analysis as well. In a phylogenetic tree, the Urumqi Mongolian group was in the same branch as East Asian populations. Conclusion Urumqi Mongolian group had relatively close genetic relationships with East Asian populations, and the proportion of its East Asian ancestry was about 89%.