Xinxiao Li
Biographic Data
| ID | 7016963 |
|---|---|
| NAME | Xinxiao Li |
| GIVEN NAMES | Xinxiao |
| FAMILY NAME | Li |
| SIGNATURE | LI X |
| AFFILIATIONS | Xinxiang Medical University |
| ORCID | 0000-0002-4899-9832 |
| VERIFIED | Yes |
| TOTAL WORKS | 5 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 5 |
| 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…
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
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…
Continuous High Frequency Deep Brain Stimulation of the Rat Anterior Insula Attenuates the Relapse Post Withdrawal and Strengthens the Extinction of Morphine Seeking
Deep brain stimulation (DBS) modulates the neuronal activity in specific brain circuits and has been recently considered as a promising intervention for refractory addiction. The insula cortex is the hub of interoception and is known to be involved in different aspects of substance use disorder. In the present study, we investigate the effects of continuous high frequency DBS in the anterior insula (AI) on drug-seeking behaviors and examined the …
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Continuous High Frequency Deep Brain Stimulation of the Rat Anterior Insula Attenuates the Relapse Post Withdrawal and Strengthens the Extinction of Morphine Seeking
Deep brain stimulation (DBS) modulates the neuronal activity in specific brain circuits and has been recently considered as a promising intervention for refractory addiction. The insula cortex is the hub of interoception and is known to be involved in different aspects of substance use disorder. In the present study, we investigate the effects of continuous high frequency DBS in the anterior insula (AI) on drug-seeking behaviors and examined the …
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…
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
Medicine (4 works) · Autoregressive integrated moving average (3 works) · Statistics (3 works) · Time series (3 works) · Autoregressive model (2 works) · COVID-19 epidemiological studies (2 works) · Data-Driven Disease Surveillance (2 works) · Mathematics (2 works) · Tuberculosis (2 works) · Tuberculosis Research and Epidemiology (2 works)