Yongbin Wang
Biographic Data
| ID | 7016962 |
|---|---|
| NAME | Yongbin Wang |
| GIVEN NAMES | Yongbin |
| FAMILY NAME | Wang |
| SIGNATURE | WANG Y |
| AFFILIATIONS | Xinxiang Medical University |
| ORCID | 0000-0001-7854-7020 |
| VERIFIED | Yes |
| TOTAL WORKS | 14 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 14 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Forecasting tuberculosis epidemics using an autoregressive fractionally integrated moving average model: A 17-year time series analysis
Background: Multimorbidity is increasingly prevalent among older adults and poses significant challenges to health and well-being. This study applied a health ecological model to investigate the prevalence, determinants, and common disease patterns of multimorbidity, as well as the factors associated with quality of life (QoL) among older adults in southern China. Methods: A cross-sectional survey was conducted among 2404 individuals aged 60 year…
Forecasting tuberculosis epidemics using an autoregressive fractionally integrated moving average model: A 17-year time series analysis
Background: Tuberculosis (TB) remains a significant public health challenge in Henan, China, requiring accurate forecasting to guide prevention and control efforts. While traditional models like autoregressive integrated moving average (ARIMA) are commonly used, they may not fully capture long-term dependencies in the data. This study evaluates the autoregressive fractionally integrated moving average (ARFIMA) model, which incorporates fractional…
Long-term impact of Covid-19-related nonpharmaceutical interventions on tuberculosis: An interrupted time series analysis using Bayesian method
Background: The implementation of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic may inadvertently influence the epidemiology of tuberculosis (TB). (TB). However, few studies have explored how NPIs impact the long-term epidemiological trends of TB. We aimed to estimate the impact of NPIs implemented against COVID-19 on the medium- and long-term TB epidemics and to forecast the epidemiological trend of TB in Henan. Methods: W…
Independent and combined relationships between nighttime light exposure, air pollution, PM2.5 constituents, greenness and diabetes or high blood sugar: A national prospective cohort study
NL and air pollution are independent risk factors for D/HBS, with synergistic effects exacerbating disease risk. NDVI confers protection by reducing pollutant exposure. Comprehensive strategies targeting light pollution control, air quality improvement, and optimized green space planning are imperative. Future studies should integrate individualized exposure assessments and elucidate causal environmental-metabolic pathways
Independent and combined relationships between light at night, air pollutants, PM2.5 components and risk of cardiovascular-kidney-metabolic syndrome: A cohort study
This study provided evidence that LAN, air pollutants, and PM 2.5 components were positively associated with CKM syndrome, and significant synergistic and joint effects existed, increasing the risk of CKM syndrome in older adults. These results highlighted the urgency of comprehensive environmental intervention measures and emphasized the necessity of incorporating multi-factor joint exposure assessment in future CKM syndrome research
Synergistic effects of outdoor nighttime light, air pollution, and PM2.5 components on multimorbidity risk of hypertension, dyslipidemia, and liver diseases: A prospective cohort study
Hypertension, dyslipidemia, and liver diseases often coexist as multimorbidity, yet its assocaition with environmental drivers like nighttime light (NL) and air pollution remain underexplored. This study investigates the independent and joint effects of NL, air pollutants, and PM2.5 components on multimorbidity risk. Based on data from the China Health and Retirement Longitudinal Study (2015–2020), we analyzed 11,216 adults aged 45 years and olde…
Age-period-cohort and bayesian age-period-cohort prediction modeling of hepatitis C incidence and mortality in China
Declining standardized rates reflect progress in prevention and treatment scale-up, yet rising mortality cases underscore the enduring burden of undiagnosed infections. Targeted interventions for aging cohorts, gender-specific strategies, and equitable access to direct-acting antivirals are critical to achieving hepatitis C elimination. Policymakers must prioritize enhanced screening, public awareness, and resource allocation to mitigate disparit…
Mediation factors of the association between coronary heart disease and physical activity among rural residents: A cross-sectional study
There is evidence that physical and chemical factors and risky lifestyle behaviours are significantly correlated with elevated susceptibility to coronary heart disease (CHD). Nevertheless, the mediation factors of this relationship are little investigated. This article attempts to assess the mediating factors between CHD and physical activity (PA) in rural residents. We conducted a cross-sectional study of 9,004 permanent residents in rural regio…
Evaluation of the impact of Covid-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model
During the COVID-19 pandemic, the incidence of HB in Henan decreased and exhibited clear seasonal and cyclical trends. The BSTS model outperformed the ARIMA model in predicting the HB incidence trend in Henan. This information may serve as a reference and provide technical assistance for developing strategies and actions to prevent and control HB. Take additional measures to accelerate the progress of eliminating HB
Global burden of cystic echinococcosis: A 32-year analysis of 204 countries with 2036 projections
Despite progress in mortality reduction, CE burden remains elevated in low-resource settings. Prioritizing interventions in low-SDI regions, adults aged 45-69 years, and women, alongside One Health strategies, is critical to narrowing inequities
Interruption time series analysis using autoregressive integrated moving average model: Evaluating the impact of Covid-19 on the epidemic trend of gonorrhea in China
ITS analysis is a valuable tool for gauging intervention effectiveness, providing flexibility in modelling various impacts. The ITS-ARIMA model can adeptly explain potential trends, autocorrelation, and seasonality. Gonorrhea, marked by periodicity and seasonality, exhibited a downward trend under the influence of COVID-19 intervention. The ITS-ARIMA outperformed the BSTS, offering superior predictive capabilities for the gonorrhea incidence tren…
Conjunctional Relationship between Serum Uric Acid and Serum Nickel with Non-Alcoholic Fatty Liver Disease in Men: A Cross-Sectional Study
Serum uric acid (SUA) and heavy metals are closely related to non-alcoholic fatty liver disease (NAFLD). Yet, the conjunctional relationship between SUA and serum nickel (Ni) concentrations with the risk of NAFLD in men has not yet been investigated. Therefore, we designed this cross-sectional study to investigate the association of SUA or serum Ni with NAFLD in men. The cross-sectional study was based on data obtained from a prospective cohort s…
Association of Rotating Night Shift Work with Body Fat Percentage and Fat Mass Index among Female Steelworkers in North China
The aim of this study was to evaluate the associations of rotating night shift work with body fat percentage (BF%) and fat mass index (FMI). A cross-sectional study was conducted among 435 female steelworkers, aged 26-57 years in Tangshan, China. BF% was assessed via bioelectrical impedance analysis and FMI was calculated. Different exposure metrics of night shift work were used to examine the effects of night shift work on BF% and FMI. The durat…
Rotating Night Shift Work, Exposure to Light at Night, and Glomerular Filtration Rate: Baseline Results from a Chinese Occupational Cohort
The misalignment between the circadian clock and behavioral cycles has been implicated in pathogenesis of many diseases. The main purpose of this study is to examine the association between rotating night shift work, exposure to light at night, and glomerular filtration rate among steelworkers in north China. A total of 6869 steelworkers, aged 22 to 60 years, were included in this study. Multivariable logistic regression was used to examine the a…
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Rotating Night Shift Work, Exposure to Light at Night, and Glomerular Filtration Rate: Baseline Results from a Chinese Occupational Cohort
The misalignment between the circadian clock and behavioral cycles has been implicated in pathogenesis of many diseases. The main purpose of this study is to examine the association between rotating night shift work, exposure to light at night, and glomerular filtration rate among steelworkers in north China. A total of 6869 steelworkers, aged 22 to 60 years, were included in this study. Multivariable logistic regression was used to examine the a…
Association of Rotating Night Shift Work with Body Fat Percentage and Fat Mass Index among Female Steelworkers in North China
The aim of this study was to evaluate the associations of rotating night shift work with body fat percentage (BF%) and fat mass index (FMI). A cross-sectional study was conducted among 435 female steelworkers, aged 26-57 years in Tangshan, China. BF% was assessed via bioelectrical impedance analysis and FMI was calculated. Different exposure metrics of night shift work were used to examine the effects of night shift work on BF% and FMI. The durat…
Conjunctional Relationship between Serum Uric Acid and Serum Nickel with Non-Alcoholic Fatty Liver Disease in Men: A Cross-Sectional Study
Serum uric acid (SUA) and heavy metals are closely related to non-alcoholic fatty liver disease (NAFLD). Yet, the conjunctional relationship between SUA and serum nickel (Ni) concentrations with the risk of NAFLD in men has not yet been investigated. Therefore, we designed this cross-sectional study to investigate the association of SUA or serum Ni with NAFLD in men. The cross-sectional study was based on data obtained from a prospective cohort s…
Interruption time series analysis using autoregressive integrated moving average model: Evaluating the impact of Covid-19 on the epidemic trend of gonorrhea in China
ITS analysis is a valuable tool for gauging intervention effectiveness, providing flexibility in modelling various impacts. The ITS-ARIMA model can adeptly explain potential trends, autocorrelation, and seasonality. Gonorrhea, marked by periodicity and seasonality, exhibited a downward trend under the influence of COVID-19 intervention. The ITS-ARIMA outperformed the BSTS, offering superior predictive capabilities for the gonorrhea incidence tren…
Forecasting tuberculosis epidemics using an autoregressive fractionally integrated moving average model: A 17-year time series analysis
Background: Multimorbidity is increasingly prevalent among older adults and poses significant challenges to health and well-being. This study applied a health ecological model to investigate the prevalence, determinants, and common disease patterns of multimorbidity, as well as the factors associated with quality of life (QoL) among older adults in southern China. Methods: A cross-sectional survey was conducted among 2404 individuals aged 60 year…
Forecasting tuberculosis epidemics using an autoregressive fractionally integrated moving average model: A 17-year time series analysis
Background: Tuberculosis (TB) remains a significant public health challenge in Henan, China, requiring accurate forecasting to guide prevention and control efforts. While traditional models like autoregressive integrated moving average (ARIMA) are commonly used, they may not fully capture long-term dependencies in the data. This study evaluates the autoregressive fractionally integrated moving average (ARFIMA) model, which incorporates fractional…
Long-term impact of Covid-19-related nonpharmaceutical interventions on tuberculosis: An interrupted time series analysis using Bayesian method
Background: The implementation of non-pharmaceutical interventions (NPIs) during the COVID-19 pandemic may inadvertently influence the epidemiology of tuberculosis (TB). (TB). However, few studies have explored how NPIs impact the long-term epidemiological trends of TB. We aimed to estimate the impact of NPIs implemented against COVID-19 on the medium- and long-term TB epidemics and to forecast the epidemiological trend of TB in Henan. Methods: W…
Independent and combined relationships between nighttime light exposure, air pollution, PM2.5 constituents, greenness and diabetes or high blood sugar: A national prospective cohort study
NL and air pollution are independent risk factors for D/HBS, with synergistic effects exacerbating disease risk. NDVI confers protection by reducing pollutant exposure. Comprehensive strategies targeting light pollution control, air quality improvement, and optimized green space planning are imperative. Future studies should integrate individualized exposure assessments and elucidate causal environmental-metabolic pathways
Independent and combined relationships between light at night, air pollutants, PM2.5 components and risk of cardiovascular-kidney-metabolic syndrome: A cohort study
This study provided evidence that LAN, air pollutants, and PM 2.5 components were positively associated with CKM syndrome, and significant synergistic and joint effects existed, increasing the risk of CKM syndrome in older adults. These results highlighted the urgency of comprehensive environmental intervention measures and emphasized the necessity of incorporating multi-factor joint exposure assessment in future CKM syndrome research
Synergistic effects of outdoor nighttime light, air pollution, and PM2.5 components on multimorbidity risk of hypertension, dyslipidemia, and liver diseases: A prospective cohort study
Hypertension, dyslipidemia, and liver diseases often coexist as multimorbidity, yet its assocaition with environmental drivers like nighttime light (NL) and air pollution remain underexplored. This study investigates the independent and joint effects of NL, air pollutants, and PM2.5 components on multimorbidity risk. Based on data from the China Health and Retirement Longitudinal Study (2015–2020), we analyzed 11,216 adults aged 45 years and olde…
Age-period-cohort and bayesian age-period-cohort prediction modeling of hepatitis C incidence and mortality in China
Declining standardized rates reflect progress in prevention and treatment scale-up, yet rising mortality cases underscore the enduring burden of undiagnosed infections. Targeted interventions for aging cohorts, gender-specific strategies, and equitable access to direct-acting antivirals are critical to achieving hepatitis C elimination. Policymakers must prioritize enhanced screening, public awareness, and resource allocation to mitigate disparit…
Mediation factors of the association between coronary heart disease and physical activity among rural residents: A cross-sectional study
There is evidence that physical and chemical factors and risky lifestyle behaviours are significantly correlated with elevated susceptibility to coronary heart disease (CHD). Nevertheless, the mediation factors of this relationship are little investigated. This article attempts to assess the mediating factors between CHD and physical activity (PA) in rural residents. We conducted a cross-sectional study of 9,004 permanent residents in rural regio…
Evaluation of the impact of Covid-19 on hepatitis B in Henan Province and its epidemic trend based on Bayesian structured time series model
During the COVID-19 pandemic, the incidence of HB in Henan decreased and exhibited clear seasonal and cyclical trends. The BSTS model outperformed the ARIMA model in predicting the HB incidence trend in Henan. This information may serve as a reference and provide technical assistance for developing strategies and actions to prevent and control HB. Take additional measures to accelerate the progress of eliminating HB
Global burden of cystic echinococcosis: A 32-year analysis of 204 countries with 2036 projections
Despite progress in mortality reduction, CE burden remains elevated in low-resource settings. Prioritizing interventions in low-SDI regions, adults aged 45-69 years, and women, alongside One Health strategies, is critical to narrowing inequities
Medicine (11 works) · Internal Medicine (8 works) · Epidemiology (7 works) · Pathology (7 works) · Biostatistics (6 works) · Public health (6 works) · Environmental health (5 works) · Air Quality and Health Impacts (4 works) · Cohort study (4 works) · Demography (4 works)