Wenyang Qiu
Dados Biográficos
| ID | 7761209 |
|---|---|
| NOME | Wenyang Qiu |
| PRENOMES | Wenyang |
| SOBRENOME | Qiu |
| ASSINATURA | QIU W |
| AFILIAÇÕES | University of Chinese Academy of Sciences |
| VERIFICADO | Não |
| TOTAL DE OBRAS | 2 |
| TOTAL DE CITAÇÕES | 0 |
| TOTAL COMO AUTOR | 2 |
| TOTAL COMO EDITOR | 0 |
| PRIMEIRO ANO DE PUBLICAÇÃO | 2017 |
| ANO MAIS RECENTE DE PUBLICAÇÃO | 2018 |
| ÍNDICE H | 0 |
A spatiotemporal mixed model to assess the influence of environmental and socioeconomic factors on the incidence of hand, foot and mouth disease
We developed a geo-additive mixed spatiotemporal model to assess the influence of meteorological, environmental and socioeconomic factors on HFMD incidence and explored spatiotemporal patterns of such incidence. Our approach achieved a competitive performance in cross-validation and revealed strong spatial patterns for the HFMD incidence rate, illustrating important implications for the epidemiology of HFMD
An Ensemble Spatiotemporal Model for Predicting PM2.5 Concentrations
Although fine particulate matter with a diameter of 2.5 ) has a greater negative impact on human health than particulate matter with a diameter of 10 ), measurements of PM 2.5 have only recently been performed, and the spatial coverage of these measurements is limited. Comprehensively assessing PM 2.5 pollution levels and the cumulative health effects is difficult because PM 2.5 monitoring data for prior time periods and certain regions are not a…
Sem obras proeminentes nesta página.
An Ensemble Spatiotemporal Model for Predicting PM2.5 Concentrations
Although fine particulate matter with a diameter of 2.5 ) has a greater negative impact on human health than particulate matter with a diameter of 10 ), measurements of PM 2.5 have only recently been performed, and the spatial coverage of these measurements is limited. Comprehensively assessing PM 2.5 pollution levels and the cumulative health effects is difficult because PM 2.5 monitoring data for prior time periods and certain regions are not a…
A spatiotemporal mixed model to assess the influence of environmental and socioeconomic factors on the incidence of hand, foot and mouth disease
We developed a geo-additive mixed spatiotemporal model to assess the influence of meteorological, environmental and socioeconomic factors on HFMD incidence and explored spatiotemporal patterns of such incidence. Our approach achieved a competitive performance in cross-validation and revealed strong spatial patterns for the HFMD incidence rate, illustrating important implications for the epidemiology of HFMD
Mathematics (2 obras) · Spatial analysis (2 obras) · Statistics (2 obras) · Air Quality and Health Impacts (1 obras) · Air Quality Monitoring and Forecasting (1 obras) · Animal Disease Management and Epidemiology (1 obras) · Biostatistics (1 obras) · Covariate (1 obras) · Ecology (1 obras) · Environmental health (1 obras)