A5006297526- COVID-19 epidemiological studies
- COVID-19 impact on air quality
- Vaccine Coverage and Hesitancy
- COVID-19 and Mental Health
- COVID-19 Pandemic Impacts
- SARS-CoV-2 and COVID-19 Research
- Influenza Virus Research Studies
- Air Quality and Health Impacts
- Heavy Metal Exposure and Toxicity
- Microbial Inactivation Methods
- Climate Change and Health Impacts
- Hepatitis Viruses Studies and Epidemiology
- Infection Control and Ventilation
- Hepatitis B Virus Studies
- Immune responses and vaccinations
- Hepatitis C virus research
- Heavy metals in environment
- Trace Elements in Health
- Medical Imaging Techniques and Applications
- Bayesian Modeling and Causal Inference
- Maternal Mental Health During Pregnancy and Postpartum
- Endoplasmic Reticulum Stress and Disease
- Sleep and related disorders
- Radiation Effects and Dosimetry
- Artificial Intelligence in Healthcare
First Affiliated Hospital Zhejiang University
2022-2025
Zhejiang University
2022-2025
Lanzhou University
2023-2024
Chengdu University of Traditional Chinese Medicine
2024
Cell Technology (China)
2024
Annoroad Gene Technology (China)
2024
Institute for Medical Research and Occupational Health
2023
İzmir University of Economics
2023
Zhengzhou University
2023
Sun Yat-sen Memorial Hospital
2023
The COVID-19 epidemic, caused by the SARS-CoV-2 virus, has resulted in 3352 deaths China as of April 12, 2020. This study aimed to investigate associations between particulate matter (PM) concentrations and case fatality rate (CFR) 49 Chinese cities, including epicenter Wuhan. We used Global Moran's I analyze spatial distribution autocorrelation CFRs, then we multivariate linear regression PM2.5 PM10 CFR. found positive PM pollution CFR cities both inside outside Hubei Province. For every 10...
This study aims to explore the relationship between ambient NO2 levels and transmission ability (basic reproductive number, R0) of COVID-19 in 63 Chinese cities. After adjustment for temperature relative humidity, R0 was positively associated with concentration at city level. The temporal analysis within Hubei province indicated that all 11 cities (except Xianning City) had significant positive correlations (with 12-day time lag) (r > 0.51, p < 0.005). Since association may increase...
Abstract Objective To compare an autoregressive integrated moving average (ARIMA) model with a that combines ARIMA the Elman recurrent neural network (ARIMA-ERNN) in predicting incidence of pertussis mainland China. Background The has increased rapidly China since 2016, making disease increasing public health threat. There is pressing need for models capable accurately order to guide prevention and control measures. We developed compared two Methods Data on from 2004 2019 were obtained...
Elimination of hepatitis B virus (HBV) is a striking challenge for countries with high or moderate disease burden. Therefore, using China as practical case to share experiences similar may accelerate the achievement WHO 2030 target 90% reduction in HBV-related incidence. We aim evaluate impact national HBV immunization strategies China; and feasibility achieve targets under different scenarios.We constructed an expanded Susceptible-Exposed-Infectious-Recovered (SEIR) model decision...
Abstract Metals have been proved to be one of risk factors for chronic kidney disease (CKD) and diabetes, but the effect mixed metal co-exposure potential interaction between metals are still unclear. We assessed urine whole blood levels cadmium (Cd), manganese (Mn), lead (Pb), mercury (Hg), renal function in 3080 adults from National Health Nutrition Survey (NHANES) (2011–2018) explore exposure on CKD especially people with type 2 diabetes mellitus (T2DM). Weighted quantile sum regression...
Abstract The Coronavirus (COVID-19) epidemic, which was first reported in December 2019 Wuhan, China, has caused 3,314 death as of March 31, 2020 China. This study aimed to investigate the spatial associations daily particulate matter (PM) concentrations with rate COVID-19 We conducted a cross-sectional analysis examine PM2.5 and PM10 China through multiple linear regression method. found that held higher rates increasing concentration levels scale, may affect process patients developed from...
Abstract Background Previous studies have reported associations between obstructive sleep apnea (OSA) and several mental disorders. However, further research is required to determine whether these are causal. Therefore, we evaluated the bidirectional causality genetic liability for OSA nine disorders by using Mendelian randomization (MR). Method We performed two-sample MR of variants Summary statistics on were extracted from FinnGen study Psychiatric Genomics Consortium. The primary...
The impact of otolaryngological diseases on sleep quality, anxiety, and depression has garnered significant attention. However, research primarily focused unveiling the effects only one or two specific diseases, without analyzing multiple concurrent diseases. Furthermore, investigation into interaction mechanisms among these factors been lacking. This study reveals different depression, investigates their mechanisms. In total, 2,080 patients with were recruited from six centers in mainland...
Background: Preclinical studies have shown that nanosecond pulsed electric field ablation (nsPEF) is a novel nonthermal modality can eradicate tumors near critical structures. We conducted the prospective multicenter trial to investigate efficacy and safety of nsPEF for hepatocellular carcinoma (HCC) in high-risk locations. Materials Methods: This study was at five hospitals China. Patients with HCC fulfilling Milan criteria located immediately adjacent (<0.5 cm) portal vein, hepatic...
This study aims to uncover the mechanisms and quantitative dose response relationships among sleep quality, anxiety, depression miscarriage, as well develop a comprehensive predictive model for miscarriage rate. In this study, 1058 pregnant women in mainland China were recruited. We utilized both univariate, multivariate analyses sensitivity analysis investigate relationship between depression, miscarriage. Then, we used mediation directed acyclic graph explore how anxiety quality mediate...
Endosonographers are highly dependent on the diagnosis of pancreatic ductal adenocarcinoma (PDAC). The objectives this study were to develop a deep-learning radiomics (DLR) model based endoscopic ultrasonography (EUS) images for identifying PDAC and explore its true clinical benefit.A retrospective data set EUS that included benign lesions was used as training cohort (N = 368 patients) DLR model, prospective test 123 validate effectiveness model. In addition, seven endosonographers performed...
This study aimed to obtain the prevalence of hyperlipidemia and its related factors in Shanxi Province, China using multivariate logistic regression analysis tabu search-based Bayesian networks (BNs). A multi-stage stratified random sampling method was adopted samples among general population aged 18 years or above. The Province 42.6%. Multivariate indicated that gender, age, region, occupation, vegetable intake level, physical activity, body mass index, central obesity, hypertension,...
Abstract Background This article aims to understand the prevalence of hyperlipidemia and its related factors in Shanxi Province. On basis multivariate Logistic regression analysis find out influencing closely hyperlipidemia, complex network connection between various variables was presented through Bayesian networks(BNs). Methods used screen for hyperlipidemia-related variables, then BNs. Since some drawbacks stand Max-Min Hill-Climbing (MMHC) hybrid algorithm, extra algorithms are proposed...
Background Economic data on congenital heart disease are scarce in economically underdeveloped areas of China. Therefore, this study aimed to shed light the level and changing trend inpatients' economic burden areas. Method This used a multi-stage stratified cluster sampling method select 11,055 inpatients with from 197 medical health institutions Gansu Province. Their records expenses were obtained Hospital Information System. Univariate analysis was conducted using rank sum test Spearman...
Journal Article Evaluation of the Chinese versions Minnesota Nicotine Withdrawal Scale and Questionnaire on Smoking Urges-Brief Get access Xin Yu, M.D., M.D. 1Psychiatric department, Institute Mental Health, Peking University, Beijing, China Search for other works by this author on: Oxford Academic PubMed Google Scholar Dan Xiao, Ph.D, Ph.D 2Epidemiological Department, Beijing Respiratory Medicine, Chao-Yang Hospital, Capital Medical Bing Li, M.D, M.D Ya Liu, 3Medical deparment, Pfize,...
ABSTRACT Background Since its first case’s occurrence in Wuhan, China, the Coronavirus Disease 2019 (COVID-19) has been spreading rapidly to other provinces and neighboring countries. A series of intervention strategies have implemented, but didn’t stop spread. Methods Two mathematical models developed simulate current epidemic situation city Wuhan parts China. Special considerations were given mobility people for estimation forecast number asymptomatic infections, symptomatic infections...
While a COVID-19 vaccine protects people from serious illness and death, it remains concern when how to lift the high-cost strict non-pharmaceutical interventions (NPIs). This study examined joint effect of coverage NPIs on control local sporadic resurgence cases.Between July 2021 January 2022, we collected large-scale testing information case number imported patients website National Health Commission China. A compartment model was developed identify level that would allow safe relaxation...
Abstract This study aimed to explore the related factors and strengths of hepatic cirrhosis complicated with encephalopathy (HE) by multivariate logistic regression analysis tabu search-based Bayesian networks (BNs), deduce probability HE in patients under different conditions through BN reasoning. Multivariate indicated that electrolyte disorders, infections, poor spirits, hepatorenal syndrome, diabetes, prothrombin time, total bilirubin are associated HE. Inferences BNs found infection,...
The study aimed to the related factors of hypertension using multivariate logistic regression analysis and tabu search-based Bayesian Networks (BNs). A cluster random sampling method was adopted obtain samples general population aged 15 years or above. Multivariate indicated that gender, age, cultural level, body mass index (BMI), central obesity, drinking, diabetes mellitus, Myocardial infarction, Coronary heart disease, Stroke are associated with hypertension. While BNs found connections...