Chenlu Xue

ORCID: 0009-0003-1190-0303
Publications
Citations
Views
---
Saved
---
About
Contact & Profiles
Research Areas
  • COVID-19 epidemiological studies
  • Climate Change and Health Impacts
  • Virology and Viral Diseases
  • Grey System Theory Applications
  • Viral Infections and Vectors
  • Radiomics and Machine Learning in Medical Imaging
  • Data-Driven Disease Surveillance
  • Fire effects on ecosystems
  • Breast Cancer Treatment Studies
  • Syphilis Diagnosis and Treatment
  • Biomarkers in Disease Mechanisms
  • Colorectal Cancer Surgical Treatments
  • Forecasting Techniques and Applications
  • Medical Imaging Techniques and Applications
  • MRI in cancer diagnosis
  • Effects of Radiation Exposure
  • Advanced Radiotherapy Techniques
  • Advanced X-ray and CT Imaging
  • Radiation Dose and Imaging
  • Lung Cancer Diagnosis and Treatment
  • Advanced MRI Techniques and Applications
  • Tuberculosis Research and Epidemiology
  • Optimism, Hope, and Well-being
  • Hepatitis C virus research
  • Influenza Virus Research Studies

Xinxiang Medical University
2023-2024

First Affiliated Hospital of Xinxiang Medical University
2024

NYU Langone Health
2024

Lehigh Valley Health Network
2019

Loma Linda University
2019

Loma Linda University Medical Center
2019

Lehigh Valley Hospital-Pocono
2019

Thomas Jefferson University
2014-2016

Sidney Kimmel Cancer Center
2014

Distinguishing between long-term and short-term effects allows for the identification of different response mechanisms. This study investigated long- short-run asymmetric impacts climate variation on tuberculosis (TB) constructed forecasting models using autoregressive distributed lag (ARDL) nonlinear ARDL (NARDL). TB showed a downward trend, peaking in March-May per year. A 1 h increment or decrement aggregate sunshine hours resulted an increase 32 cases. m/s average wind velocity...

10.1038/s41598-024-73370-3 article EN cc-by-nc-nd Scientific Reports 2024-10-09

Abstract Background Interrupted time series (ITS) analysis is a growing method for assessing intervention impacts on diseases. However, it remains unstudied how the COVID-19 outbreak gonorrhea. This study aimed to evaluate effect of gonorrhea and predict epidemics using ITS-autoregressive integrated moving average (ARIMA) model. Methods The number cases reported in China from January 2005 September 2022 was collected. Statistical descriptions were applied indicate overall epidemiological...

10.1186/s12889-023-16953-5 article EN cc-by BMC Public Health 2023-10-23

Human brucellosis (HB) remains a significant public health concern in China. This study aimed to investigate the long‐ and short‐term asymmetric impacts of meteorological variables on HB develop an early prediction system. Monthly data incidence were collected from 2005 2020. The employed autoregressive distributed lag (ARDL) nonlinear ARDL (NARDL) analyze effects climate HB. Subsequently, split into training (from January December 2019) testing parts 2020) validate forecasting accuracy both...

10.1155/2024/8381548 article EN cc-by Transboundary and Emerging Diseases 2024-01-01

Recent studies have revealed that clusterin is implicated in many physiological and pathological processes, including tumorigenesis. However, the relationship between serum expression esophageal squamous cell carcinoma (ESCC) unclear. The concentrations of 87 ESCC patients 136 healthy individuals were examined. An independent-samples Mann-Whitney U test was used to compare those controls. Univariate analysis conducted using log-rank multivariate analyses performed Cox proportional hazards...

10.1155/2014/168960 article EN cc-by Disease Markers 2014-01-01

We aimed to assess the temporal epidemiological trends in tuberculosis (TB) by use of an advanced Theta method. The TB incidence data from Tianjin, Heilongjiang, Hubei, and Guangxi provinces China, spanning January 2005 December 2019, were extracted. then constructed compared various modeling approaches, including seasonal autoregressive integrated moving average (SARIMA) model, standard model (STM), dynamic optimized (DOTM), (DSTM), (OTM). During 2005-2019, these four recorded a total...

10.4269/ajtmh.23-0388 article EN American Journal of Tropical Medicine and Hygiene 2024-06-18

Examining both long‐term and short‐term effects can enhance the precision reliability of time series analysis. This study aimed to delve into asymmetric weather conditions on hemorrhagic fever with renal syndrome (HFRS) in long short terms build a forecasting system. Data comprising monthly HFRS incidents factors Heilongjiang from January 2004 December 2019 were extracted. Subsequently, long‐ impacts examined using autoregressive distributed lag (ARDL) nonlinear ARDL (NARDL) models. Next,...

10.1155/2024/6080321 article EN cc-by Transboundary and Emerging Diseases 2024-01-01

Hemorrhagic fever with renal syndrome (HFRS) continues to pose a significant threat global health. This study aimed investigate both the long- and short-term asymmetric impacts of variations in meteorological variables on HFRS.

10.1016/j.onehlt.2024.100895 article EN cc-by-nc-nd One Health 2024-09-13

This study sets out to explore the forecasting value in syphilis incidence of Bayesian structural time series (BSTS) model Jiangsu Province.

10.2147/idr.s462998 article EN cc-by-nc Infection and Drug Resistance 2024-12-01

Hepatitis C presents a profound global health challenge. The impact of COVID-19 on hepatitis C, however, remain uncertain. This study aimed to ascertain the influence epidemic trend in Henan Province.We collated number monthly diagnosed cases Province from January 2013 September 2022. Upon detailing overarching epidemiological characteristics, interrupted time series (ITS) analysis using autoregressive integrated moving average (ARIMA) models was employed estimate diagnosis rate pre and post...

10.1186/s12879-023-08635-9 article EN cc-by BMC Infectious Diseases 2023-10-17
Coming Soon ...