Detalhe da pesquisa
1.
Using an autologistic regression model to identify spatial risk factors and spatial risk patterns of hand, foot and mouth disease (HFMD) in Mainland China.
BMC Public Health
; 14: 358, 2014 Apr 14.
Artigo
em Inglês
| MEDLINE | ID: mdl-24731248
2.
Exploring spatiotemporal nonstationary effects of climate factors on hand, foot, and mouth disease using Bayesian Spatiotemporally Varying Coefficients (STVC) model in Sichuan, China.
Sci Total Environ
; 648: 550-560, 2019 Jan 15.
Artigo
em Inglês
| MEDLINE | ID: mdl-30121533
3.
Risk Assessment and Mapping of Hand, Foot, and Mouth Disease at the County Level in Mainland China Using Spatiotemporal Zero-Inflated Bayesian Hierarchical Models.
Int J Environ Res Public Health
; 15(7)2018 07 12.
Artigo
em Inglês
| MEDLINE | ID: mdl-30002344
4.
Estimating missing values in China's official socioeconomic statistics using progressive spatiotemporal Bayesian hierarchical modeling.
Sci Rep
; 8(1): 10055, 2018 07 03.
Artigo
em Inglês
| MEDLINE | ID: mdl-29968777
5.
The Complicate Observations and Multi-Parameter Land Information Constructions on Allied Telemetry Experiment (COMPLICATE).
PLoS One
; 10(9): e0137545, 2015.
Artigo
em Inglês
| MEDLINE | ID: mdl-26332035
6.
Identification of health risks of hand, foot and mouth disease in China using the geographical detector technique.
Int J Environ Res Public Health
; 11(3): 3407-23, 2014 Mar 21.
Artigo
em Inglês
| MEDLINE | ID: mdl-24662999