Gaoqiang Fei
Biographic Data
| ID | 6249117 |
|---|---|
| NAME | Gaoqiang Fei |
| GIVEN NAMES | Gaoqiang |
| FAMILY NAME | Fei |
| SIGNATURE | FEI G |
| AFFILIATIONS | Southeast University |
| VERIFIED | No |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM2.5 in China
Objectives This study investigated association between long-term PM 2.5 exposure and lung cancer incidence, focusing on Jiangsu Province, China. We aimed to explore the effects of historical PM 2.5 with time lags and build a prediction model using machine learning methods. Study design An ecological epidemiology study. Methods Lung cancer incidence data from Jiangsu Province (2014–2018) were combined with annual PM 2.5 concentration data from sat…
The contagious spread of bullying among Chinese adolescents through large school-based social networks
Associated factors and patterns of school bullying among school-aged adolescents in China
Unintentional injuries and risk behaviours of internal migrant children in southern China
The purpose of this study was to estimate the prevalence of unintentional injuries and to identify factors mediating the risk of unintentional injuries among internal migrant children in southern China using self-reported data collected between April 2016 and March 2017. Logistic regression models were used to identify significant risk factors for unintentional injuries among the internal migrant children. The prevalence of self-reported unintent…
No prominent works on this page.
Unintentional injuries and risk behaviours of internal migrant children in southern China
The purpose of this study was to estimate the prevalence of unintentional injuries and to identify factors mediating the risk of unintentional injuries among internal migrant children in southern China using self-reported data collected between April 2016 and March 2017. Logistic regression models were used to identify significant risk factors for unintentional injuries among the internal migrant children. The prevalence of self-reported unintent…
The contagious spread of bullying among Chinese adolescents through large school-based social networks
Associated factors and patterns of school bullying among school-aged adolescents in China
Epidemiological association and machine learning-based prediction of lung cancer risk linked to long-term lagged satellite-derived PM2.5 in China
Objectives This study investigated association between long-term PM 2.5 exposure and lung cancer incidence, focusing on Jiangsu Province, China. We aimed to explore the effects of historical PM 2.5 with time lags and build a prediction model using machine learning methods. Study design An ecological epidemiology study. Methods Lung cancer incidence data from Jiangsu Province (2014–2018) were combined with annual PM 2.5 concentration data from sat…
Psychology (4 works) · Bullying, Victimization, and Aggression (2 works) · China (2 works) · Computer Science (2 works) · Developmental psychology (2 works) · Environmental health (2 works) · Geography (2 works) · Medicine (2 works) · Social Psychology (2 works) · Advanced Technologies in Various Fields (1 works)