543 results match your criteria: "China Peking University Center for Public Health and Epidemic Preparedness & Response[Affiliation]"
China CDC Wkly
January 2025
Department of Medical Statistics, School of Public Health, Sun Yat-Sen University, Guangzhou City, Guangdong Province, China.
What Is Already Known About This Topic?: Human immunodeficiency virus (HIV) self-testing serves as a crucial strategy for overcoming testing barriers, with urine-based self-testing emerging as a potential novel approach.
What Is Added By This Report?: In a real-world setting, this study demonstrated that the urine rapid test exhibited lower diagnostic accuracy compared to the blood rapid test. Study participants expressed stronger preferences for HIV self-testing methods utilizing finger prick samples, accompanied by standard written instructions and lower costs.
Lancet Reg Health West Pac
January 2025
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing 100191, China.
Zhonghua Liu Xing Bing Xue Za Zhi
January 2025
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing211166, China China International Cooperation Center for Environment and Human Health, Nanjing Medical University, Nanjing211166, China.
Extremely unbalanced data refers to datasets with independent or dependent variables showing severe imbalances in proportions, which might lead to deviation of classical test statistics from theoretical distribution and difficulties in controlling type Ⅰ error. The increased availability of genome-wide resources from large population cohorts has highlighted the growing demand for efficient and accurate statistical methods for the process of extremely unbalanced data to improve the development of genetic statistical methods. This paper introduces two widely used correction methods in current genome-wide association study for extremely unbalanced data, i.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China.
To describe the distribution characteristics of alcohol consumption in adult twins in the Chinese National Twin Registry (CNTR), and further explore the influence of genetic factors on alcohol consumption in adult twins. The subjects of the study were twins registered by CNTR in 11 project areas across China from 2010 to 2018. A total of 56 966 twins (28 483 pairs) aged 18 years and above who answered questions about drinking behavior were included, and the random effect model was used to describe the population and regional distribution characteristics of alcohol consumption.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
January 2025
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China State Key Laboratory of Vascular Homeostasis and Remodeling, Peking University, Beijing100191, China.
To investigate the relationship of several adiposity-related anthropometric parameters, including BMI, waist circumference (WC), waist-to-hip ratio (WHR), body fat percentage (BFP) and indoles in plasma with the incidence of atherosclerotic cardiovascular disease (ASCVD) in adults in China. In China Kadoorie Biobank (CKB) study, blood samples were collected from 2 183 participants in the first resurvey in 2008 to detect indoles. Participants' body weight, body height, WC, hip circumference, and BFP were measured at baseline survey in 2004 and resurvey in 2008, the BMI and WHR were calculated with standardized methods.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
January 2025
School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China.
Global public health is currently undergoing unprecedented and complex changes. The COVID-19 pandemic has exposed vulnerabilities and weaknesses of the global health system, urging nations globally to prioritize pandemic prevention and response strategies. Simultaneously, emerging infectious diseases such as mpox and avian influenza, as well as re-emerging infectious diseases including tuberculosis, AIDS, and viral hepatitis, continue to pose threats to global public health security.
View Article and Find Full Text PDFInfect Dis Model
June 2025
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
An early warning model for infectious diseases is a crucial tool for timely monitoring, prevention, and control of disease outbreaks. The integration of diverse multi-source data using big data and artificial intelligence techniques has emerged as a key approach in advancing these early warning models. This paper presents a comprehensive review of widely utilized early warning models for infectious diseases around the globe.
View Article and Find Full Text PDFGlob Health Res Policy
January 2025
Center for Public Health and Epidemic Preparedness and Response, Peking University, Haidian District, 38Th Xueyuan Road, Beijing, 100191, China.
Background: As population aging intensifies, it becomes increasingly important to elucidate the casual relationship between aging and changes in population health. Therefore, our study proposed to develop a systematic attribution framework to comprehensively evaluate the health impacts of population aging.
Methods: We used health-adjusted life expectancy (HALE) to measure quality of life and disability-adjusted life years (DALY) to quantify the burden of disease for the population of Guangzhou.
Biol Trace Elem Res
January 2025
Department of Geriatrics, The Second Affiliated Hospital, Nanjing Medical University, Nanjing, 210011, China.
Several studies have reported associations between specific heavy metals and essential trace elements and acute myocardial infarction (AMI). However, there is limited understanding of the relationships between trace elements and AMI in real-life co-exposure scenarios, where multiple elements may interact simultaneously. This cross-sectional study measured serum levels of 56 trace elements using inductively coupled plasma mass spectrometry.
View Article and Find Full Text PDFInt J Cancer
December 2024
Clinical Trial Service Unit and Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Associations of adiposity with risks of oesophageal squamous cell carcinoma (ESCC) and non-cardia stomach cancer, both prevalent in China, are still inconclusive. While adiposity is an established risk factor for colorectal cancer, the relevance of fat-free mass and early-adulthood adiposity remains to be explored. The prospective China Kadoorie Biobank study included 0.
View Article and Find Full Text PDFBackground: Seeking sexual partners in men who have sex with men (MSM) venues has been regarded as a high-risk behavior for HIV among MSM. Nevertheless, with the implementation of venue-based interventions and the change in the way MSM seek sexual partners, the continued status of MSM venues as the HIV risk factor remains inconclusive. This study endeavors to delve into this ambiguity by examining the MSM sexual contact network (SCN) as a foundation.
View Article and Find Full Text PDFBMC Med
December 2024
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, 38 Xueyuan Road, Beijing, 100191, China.
Background: Risk prediction models can identify individuals at high risk of chronic liver disease (CLD), but there is limited evidence on the performance of various models in diverse populations. We aimed to systematically review CLD prediction models, meta-analyze their performance, and externally validate them in 0.5 million Chinese adults in the China Kadoorie Biobank (CKB).
View Article and Find Full Text PDFSignal Transduct Target Ther
December 2024
School of Basic Medical Science, Tsinghua University, 30 Shuangqing Rd., Haidian District, Beijing, 100084, China.
Modeling and predicting mutations are critical for COVID-19 and similar pandemic preparedness. However, existing predictive models have yet to integrate the regularity and randomness of viral mutations with minimal data requirements. Here, we develop a non-demanding language model utilizing both regularity and randomness to predict candidate SARS-CoV-2 variants and mutations that might prevail.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
December 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China.
Biological age (BA) is a marker to accurately assess aging, facilitating the prediction of age-related diseases and promoting healthy aging. In recent years, first- and second-generation organ-system-specific BA has been developed using chronological age (CA) or aging-related outcomes (mortality) as training phenotypes and data from questionnaires, physical examinations, clinical biochemistry, imaging, and multi-omics to investigate the specificity of organ systems aging. Here, we review the methodologies for constructing BA, current efforts to assess organ system-specific BA, and related genome-wide association studies (GWAS).
View Article and Find Full Text PDFDiabetes
December 2024
Department of Epidemiology & Biostatistics, School of Public Health, Peking University, Beijing, 100191, China.
Little is known about the population-based mismatch between phenotypic and genetic BMI (BMI-PGM) and its association with type 2 diabetes. We therefore used data from the China Kadoorie Biobank and UK Biobank and calculated BMI-PGM for each participant as the difference between the percentile for adjusted BMI at baseline and the percentile for adjusted polygenic risk score for BMI. Participants were categorized into discordantly low (BMI-PGM< the 1st quartile), concordant (the 1st quartile ≤BMI-PGM
Environ Int
December 2024
Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Br J Haematol
December 2024
Department of Haematology, Collaborative Innovation Center for Cancer Personalized Medicine, Jiangsu Province Hospital, The First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
The subjectivity of morphological assessment and the overlapping pathological features of different subtypes of myeloproliferative neoplasms (MPNs) make accurate diagnosis challenging. To improve the pathological assessment of MPNs, we developed a diagnosis model (fusion model) based on the combination of bone marrow whole-slide images (deep learning [DL] model) and clinical parameters (clinical model). Thousand and fifty-one MPN and non-MPN patients were divided into the training, internal testing and one internal and two external validation cohorts (the combined validation cohort).
View Article and Find Full Text PDFZhonghua Yi Xue Za Zhi
December 2024
Department of Epidemiology Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China.
To explore the associations of plasma acylcarnitine and bile acid levels with the risk of incident coronary heart disease (CHD) in Chinese adults. The baseline survey of China Kadoorie Biobank (CKB) took place in 10 areas across China during 2004-2008, and the first resurvey took place from July to October 2008, with collection of data via questionnaire, physical examination and blood samples. The current study was based on 2 159 individuals with targeted mass spectrometry metabolomic measurements from the first resurvey of CKB.
View Article and Find Full Text PDFLancet Microbe
December 2024
Aaron Diamond AIDS Research Center, Division of Infectious Diseases, Department of Medicine, Columbia University Vagelos College of Physicians and Surgeons, NY, USA.
Lancet Public Health
December 2024
Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford, UK.
Background: Little evidence is available on the long-term health effects of nitrogen dioxide (NO) in low-income and middle-income populations. We investigated the associations of long-term NO exposure with the incidence of a wide spectrum of disease outcomes, based on data from the China Kadoorie Biobank.
Methods: This prospective cohort study involved 512 724 Chinese adults aged 30-79 years recruited from ten areas of China during 2004-08.
Zhonghua Liu Xing Bing Xue Za Zhi
November 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing100191, China Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing100191, China Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing100191, China.
Epidemiology and medical statistics are essential courses for undergraduate students majoring in clinical medicine. By studying the two courses, they can obtain the core skills for their future clinical practice. High-level medical schools both at home and abroad have accumulated successful experiences in curriculum, teaching methods and teaching models of the two disciplines.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
November 2024
Department of Biostatistics, School of Public Health, Nanjing Medical University, Nanjing211166, China National International Science and Technology Cooperation Base, Nanjing Medical University, Nanjing211166, China.
Extremely unbalanced data here refers to datasets where the values of independent or dependent variables exhibit severe unbalance in proportions, such as extremely unbalanced case-control ratio, very low incidence rate of disease, heavily censored time-to-event data, and low-frequency or rare variants. In such scenarios, the statistic derived from hypothesis test using the classical statistical method, e.g.
View Article and Find Full Text PDFZhonghua Liu Xing Bing Xue Za Zhi
November 2024
Department of Operations Management (Department of Primary Public Health Promotion), Shenzhen Municipal Center for Disease Control and Prevention, Shenzhen518055, China.
To analyze the disease burden in middle-aged and elderly population aged ≥55 in Shenzhen from 2016 to 2030 and provide evidence for the development of healthy aging strategies. The years of life lost (YLL), years lost due to disability (YLD), and the disability-adjusted life year (DALY) in this population from 2016 to 2022 were calculated. Joinpoint log-linear regression model was used to analyze the time trend.
View Article and Find Full Text PDFJ Cachexia Sarcopenia Muscle
February 2025
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.
Int J Tuberc Lung Dis
December 2024
Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China;, Peking University Center for Public Health and Epidemic Preparedness & Response, Beijing, China;, Key Laboratory of Epidemiology of Major Diseases (Peking University), Ministry of Education, Beijing, China.