ObjectiveTo analyze the temporal trend of knockdown resistance (kdr) gene mutations highly correlated with pyrethroid resistance in field populations of Aedes aegypti in Jinghong City of Yunnan Province, and to provide a scientific basis for formulating rational insecticide use strategies. MethodsAdult mosquito samples of Aedes aegypti from 2016 to 2023 and larvae mosquito samples from July 2022 to June 2023 were collected in Jinghong City of Yunnan Province. Allele specific PCR (AS-PCR) was used to measure kdr mutations at amino acid positions 989, 1016 and 1534 of the voltage-gated sodium ion channel (VGSC) gene. Data such as mutation rate and mutation allele frequency were calculated, SPSS software was used to perform trend chi square tests on mutation rate and mutation allele frequency with year and month, as well as comparison of mutation allele frequencies and genotype distributions between the dry and rainy seasons, thereby delineating the temporal trend of kdr gene mutations. ResultsAmong the 173 samples collected from 2016 to 2023, the mutation rates of S989P and V1016G were 100.00% for each year, while the mutation rate of F1534C ranged from 62.50% to 100.00%. The mutation rate and mutation allele frequency of F1534C were increased over the years (χ²=22.079, P<0.001; χ²=42.971, P<0.001). Concurrently, the proportion of the PPGGCC genotype was increased annually (χ²=60.790, P<0.001). Among the 288 samples collected from July 2022 to June 2023, the monthly mutation rates for S989P, V1016G, and F1534C were consistently 100.00%. There was only one type of mutation present, namely S989P+V1016G+F1534C. In the combinations of the three genotypes, the SPGGCC genotype accounted for 1.39% (4/288), the PPGGFC accounted for 2.78% (8/288), and the PPGGCC had the highest proportion at 95.83% (276/288). After tesiting the samples collected in August 2023, the mutation rates of 989, 1016 and 1534 sites of VGSC in females, males, and larvae of the same generation were all 100.00%. ConclusionSince 2016, the gene mutations at S989P and V1016G loci in the VGSC gene of wild Aedes aegypti in Jinghong City have remained consistently at 100.00%, while the mutation rate and mutant allele frequency of F1534C have increased year by year during the testing period. By 2023, the mutation rates at three loci in the VGSC gene of Aedes aegypti in Jinghong City had all reached 100.00%, and neither changes in insect developmental stage nor gender differences during transmission exerted a detectable impact on the mutation rates. In the control of Aedes aegypti in Jinghong City, the use of pyrethroid insecticides should be stopped or reduced, and regular monitoring of kdr genes should be carried out to promptly detect new mutations.

Objective To investigate the effects of prolonged low-dose neutron-γ radiation on peripheral blood lymphocytes of logging workers. Methods The health information of workers in a logging company was collected by on-site blood sample collection and questionnaire survey. Individual doses of γ and neutron radiation were recorded using LiF elements and CR-39, respectively. Lymphocyte count in peripheral blood was measured by blood cytometer. Cell cycle and cyclins were detected by flow cytometry. Results The annual dose of some logging workers exceeded 5 mSv. Lymphocyte counts showed a difference of 15% between the group exposed to the lowest annual dose of 0–1 mSv (mean: 2.45 × 10⁹/L) and the group exposed to the highest annual dose of 5–25 mSv (mean: 2.08 × 10⁹/L). In comparison to pre-shift workers, logging workers exhibited a G1-phase arrest in the lymphocyte cycle, along with increased expression of cyclins p21 and CDK2. Conclusion Prolonged exposure to low-dose neutron-γ radiation leads to reduced lymphocyte counts as well as changes in lymphocyte cycle and cyclin expression.

ObjectiveTo assess the direct economic burden and influencing factors of road traffic injuries in Shanghai， providing a basis for future prevention of road traffic injuries. MethodsInformation of inpatient cases caused by road traffic injuries was collected from 22 pilot hospitals in Shanghai that participated in the registration and reporting system of injury hospitalizations from 2017 to 2020. The main content of the collected information included basic demographic information， total hospitalization costs for injuries， mode of transportation， cause of injury， nature of injury， location of injury， and hospital level. Univariate analysis was used to analyze the average hospitalization costs and length of hospital stay between different years. Kruskal-Wallis test was used to analyze the median hospitalization costs and the median length of hospital stay between different years， and the median hospitalization costs of different groups. A full subset regression model in multivariate regression was used to explore the main influencing factors of hospitalization costs. ResultsA total of 4 655 patients were hospitalized with road traffic injuries， including 2 675 males （57.47%） and 1 980 females （42.53%）. The average age was （53.84±15.37） years old， with a minimum age of 4 years old and a maximum age of 97 years old. 1 907 patients （40.97%） had non-motor vehicle accidents， and 2 748 patients （59.03%） had motor vehicle accidents. The average hospitalization cost is 23 245.71 yuan， with a median of 9 793.94 yuan. The average length of stay was 13.61 days， with a median stay of 10.00 days. The main factors affecting hospitalization costs included year， nature of injury， location of injury， length of hospital stay， and hospital level. ConclusionRoad traffic injuries seriously affect the health of middle-aged and young people， especially vulnerable road user such as pedestrians and cyclists， causing serious injury and an increase of direct economic burden year by year. Therefore， road traffic injury prevention projects should be actively carried out to reduce the occurrence of injuries.

Purpose/Significance The processing links and key technologies of health care big data are deeply discussed to provide in-formation support and guarantee for further promoting the application of health care big data.Method/Process According to the scientific research paradigm driven by big data,and based on the process perspective,the paper introduces the sources and characteristics of health care big data,analyzes the processing links and key technologies of big data,and discusses the current challenges and future development directions of health care big data processing.Result/Conclusion Both China and foreign countries have achieved innovative development in technologies for health care big data processing.However,there are still some challenges in multi-dimensional data collection,multi-mo-dal data integration,large model data analysis,and data security.In the future,through building a comprehensive platform of big data pro-cessing,and developing or integrating targeted functional modules,the existing problems can be effectively addressed.

ObjectiveTo analyze the characteristics of hospitalized unintentional injuries and to provide evidence for formulating injury prevention and control strategies. MethodsDescriptive analysis was conducted on injury information of unintentional injury cases reported from 22 monitoring hospitals during 2017 to 2020 by injury surveillance system. The composition ratio index was used to analyze and explore the distribution（population， time and place）of injuries related to different causes. The disease burden was described by the length of hospital stay and hospitalization cost. ResultsA total of 32 716 hospitalized unintentional injury cases were reported from 22 monitoring hospitals. The male to female ratio was 1.18∶1. The majority of males were aged 15‒64 years and the majority of females were aged over 45 years. The top three causes of injuries were falls， traffic-related and blunt injury. Injuries occurred more frequently in July and August. 42.81% of the cases occurred at home. Fracture cases accounted for 75.79%. The median length of hospital stay was 10 days and the median cost was 15 431.50 yuan. The share of both falls and non-motor vehicle accidents increased year by year. ConclusionFalls among elderly people and road traffic injuries are the main causes of hospitalized unintentional injuries， and sharp or blunt instrument injuries are more severe in the male workforce. Considering high direct and indirect economic losses from injuries， steps should to be taken to improve injury surveillance system and to implement injury prevention and control strategies targeted on key groups and key injuries.

Schizophrenia is a serious mental disease. The diagnosis of schizophrenia so far relies heavily on subjective evidence, including self-reported experiences by patients, manifestations described by relatives, and abnormal behaviors assessed by psychiatrists. The diagnosis, monitoring of the disease progression and therapy efficacy assessment are challenging due to the lack of established laboratory biomarkers. Based on the current literature, clinical consensus, guidelines, and expert recommendations, this review highlighted evidence-based potential laboratory biomarkers for the diagnosis of schizophrenia, including genetic biomarkers, neurotransmitters, neurodevelopmental-related proteins, and intestinal flora, and discussed the potential future directions for the application of these biomarkers in this field, aiming to provide an objective basis for the use of these biomarkers in the early and accurate diagnosis, treatment, and prognosis and rehabilitation assessment of schizophrenia.

Autoantibodies ; China ; Cohort Studies ; Follow-Up Studies ; Humans ; Idiopathic Pulmonary Fibrosis

The actor network theory, with reference to systems science, sociology and management science, offers a new perspective for research of the technology-society binary view. This theory as introduced by the authors, analyzed the constituent bodies and their relationship of the operation of the precise medical service system, and studied the translation process of the actor network. The analysis showed that the main factors affecting the operation of the precision medical service system were hospitals, patients, governments, scientific research institutions, technology-based enterprises, and universities, which were suppliers, demanders, managers, funders, and technical supporters of precision medical services. Among them, 82.72%(335/405) of clinicians believed that hospitals were the core actor that affected the operation of precision medical service system. 71.60%(290/405) of the clinicians thought that the training of medical workers was the current focus of the hospital, i. e., the mandatory access point for this actor network. Through training, the accurate medical service ability of medical workers and hospitals can be improved.

OBJECTIVES: To analyze the regional epidemic features of coronavirus disease 2019 (COVID-19) in Henan Province, China. METHODS: According to the data of COVID-19 patients and the resident population at the end of 2018 in Henan Province, statistical description and analysis of epidemiological characteristics of COVID-19 in Henan Province were conducted, including the time distribution, population distribution, and regional distribution. RESULTS: The cumulative incidence of COVID-19 in Henan Province was 1.32/100 000, the cure rate was 98.03%, and the fatality rate was 1.73% by March 9, 2020. The incidence curve showed that the epidemic peak reached from January 24 to January 28. The high-incidence area was Xinyang, with a standardized cumulative incidence rate of 4.36/100 000. There were 580 female COVID-19 patients (45.60%), 688 males (54.09%) in Henan Province. The incidence of males was 1.41/100 000, while the incidence of females was 1.23/100 000. The age with the highest incidence of COVID-19 in Henan Province was 20-69 years old (88.68%). The incidence rate was highest in men aged 30-39 (2.51/ 100 000), while the lowest rate in women aged 0-9 (0.16/100 000). There were 1 225 local patients (96.31%), and the rural patients (45.73%) were slightly higher than the urban patients (44.02%) in Henan Province. A total of 63.60% patients had traveled or lived in Hubei or contacted with people who came from Hubei to Henan. The proportion of patients whose family members suffered from COVID-19 was 32.70%. Global spatial autocorrelation analysis suggested that there was a statistically significant positive correlation in the spatial distribution of COVID-19 patients in Henan Province (Moran's =0.248, =2.955, <0.01). CONCLUSIONS There are differences in the morbidity and mortality of COVID-19 patients in different areas of Henan Province, with epidemic peak reaching from January 24 to January 28. Henan is dominated by local patients, male patients, and patients with contact history in Hubei. The space appears to be moderately clustered.
Adult ; Aged ; Betacoronavirus ; Child ; Child, Preschool ; China ; epidemiology ; Coronavirus Infections ; epidemiology ; Female ; Humans ; Incidence ; Infant ; Infant, Newborn ; Male ; Middle Aged ; Pandemics ; Pneumonia, Viral ; epidemiology ; Spatial Analysis ; Young Adult