These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.
143 related articles for article (PubMed ID: 38044833)
1. Analysis of a SARIMA-XGBoost model for hand, foot, and mouth disease in Xinjiang, China. Man H; Huang H; Qin Z; Li Z Epidemiol Infect; 2023 Dec; 151():e200. PubMed ID: 38044833 [TBL] [Abstract][Full Text] [Related]
2. Spatial-temporal heterogeneity and meteorological factors of hand-foot-and-mouth disease in Xinjiang, China from 2008 to 2016. Xie L; Huang R; Wang H; Liu S PLoS One; 2021; 16(8):e0255222. PubMed ID: 34339424 [TBL] [Abstract][Full Text] [Related]
3. Impact of weather factors on hand, foot and mouth disease, and its role in short-term incidence trend forecast in Huainan City, Anhui Province. Zhao D; Wang L; Cheng J; Xu J; Xu Z; Xie M; Yang H; Li K; Wen L; Wang X; Zhang H; Wang S; Su H Int J Biometeorol; 2017 Mar; 61(3):453-461. PubMed ID: 27557791 [TBL] [Abstract][Full Text] [Related]
4. Spatial-temporal heterogeneity of hand, foot and mouth disease and impact of meteorological factors in arid/ semi-arid regions: a case study in Ningxia, China. Li J; Zhang X; Wang L; Xu C; Xiao G; Wang R; Zheng F; Wang F BMC Public Health; 2019 Nov; 19(1):1482. PubMed ID: 31703659 [TBL] [Abstract][Full Text] [Related]
5. Analysis and prediction of hand, foot and mouth disease incidence in China using Random Forest and XGBoost. Meng D; Xu J; Zhao J PLoS One; 2021; 16(12):e0261629. PubMed ID: 34936688 [TBL] [Abstract][Full Text] [Related]
6. Application of a combined model with seasonal autoregressive integrated moving average and support vector regression in forecasting hand-foot-mouth disease incidence in Wuhan, China. Zou JJ; Jiang GF; Xie XX; Huang J; Yang XB Medicine (Baltimore); 2019 Feb; 98(6):e14195. PubMed ID: 30732135 [TBL] [Abstract][Full Text] [Related]
7. Impact of meteorological factors on the incidence of childhood hand, foot, and mouth disease (HFMD) analyzed by DLNMs-based time series approach. Qi H; Chen Y; Xu D; Su H; Zhan L; Xu Z; Huang Y; He Q; Hu Y; Lynn H; Zhang Z Infect Dis Poverty; 2018 Jan; 7(1):7. PubMed ID: 29391070 [TBL] [Abstract][Full Text] [Related]
8. [Analysis on impact of meteorological factors on incidence of hand, foot and mouth disease based on Bayes spatial-temporal theory]. Wang C; Fang L; Cao W; Zhang Y; Cao K; Xu Q; Guo X Zhonghua Liu Xing Bing Xue Za Zhi; 2015 May; 36(5):476-80. PubMed ID: 26080637 [TBL] [Abstract][Full Text] [Related]
9. [Correlation analysis on meteorological factors regarding the incidence of hand, foot and mouth disease in Xinjiang Uygur Autonomous Region, 2011-2018]. Huang RF; Xie L; Liu SH; Ding KK; Gao ZG; Zhao J; Zhang X; Cui Y Zhonghua Liu Xing Bing Xue Za Zhi; 2019 Dec; 40(12):1563-1568. PubMed ID: 32062916 [No Abstract] [Full Text] [Related]
10. Spatio-temporal analysis of the relationship between meteorological factors and hand-foot-mouth disease in Beijing, China. Tian L; Liang F; Xu M; Jia L; Pan X; Clements ACA BMC Infect Dis; 2018 Apr; 18(1):158. PubMed ID: 29614964 [TBL] [Abstract][Full Text] [Related]
11. Association of Short-Term Exposure to Meteorological Factors and Risk of Hand, Foot, and Mouth Disease: A Systematic Review and Meta-Analysis. Liu Z; Meng Y; Xiang H; Lu Y; Liu S Int J Environ Res Public Health; 2020 Oct; 17(21):. PubMed ID: 33143315 [TBL] [Abstract][Full Text] [Related]
12. Short-Term Effects of Climatic Variables on Hand, Foot, and Mouth Disease in Mainland China, 2008-2013: A Multilevel Spatial Poisson Regression Model Accounting for Overdispersion. Liao J; Yu S; Yang F; Yang M; Hu Y; Zhang J PLoS One; 2016; 11(1):e0147054. PubMed ID: 26808311 [TBL] [Abstract][Full Text] [Related]
13. Short-term effects of extreme meteorological factors on childhood hand, foot, and mouth disease reinfection in Hefei, China: A distributed lag non-linear analysis. Zhang Q; Zhou M; Yang Y; You E; Wu J; Zhang W; Jin J; Huang F Sci Total Environ; 2019 Feb; 653():839-848. PubMed ID: 30759610 [TBL] [Abstract][Full Text] [Related]
14. A spatiotemporal mixed model to assess the influence of environmental and socioeconomic factors on the incidence of hand, foot and mouth disease. Li L; Qiu W; Xu C; Wang J BMC Public Health; 2018 Feb; 18(1):274. PubMed ID: 29463224 [TBL] [Abstract][Full Text] [Related]
15. Spatio-temporal clustering analysis and its determinants of hand, foot and mouth disease in Hunan, China, 2009-2015. Wu X; Hu S; Kwaku AB; Li Q; Luo K; Zhou Y; Tan H BMC Infect Dis; 2017 Sep; 17(1):645. PubMed ID: 28946852 [TBL] [Abstract][Full Text] [Related]
16. Time-series modelling and forecasting of hand, foot and mouth disease cases in China from 2008 to 2018. Tian CW; Wang H; Luo XM Epidemiol Infect; 2019 Jan; 147():e82. PubMed ID: 30868999 [TBL] [Abstract][Full Text] [Related]
17. Predicting the outbreak of hand, foot, and mouth disease in Nanjing, China: a time-series model based on weather variability. Liu S; Chen J; Wang J; Wu Z; Wu W; Xu Z; Hu W; Xu F; Tong S; Shen H Int J Biometeorol; 2018 Apr; 62(4):565-574. PubMed ID: 29086082 [TBL] [Abstract][Full Text] [Related]
18. Different effects of meteorological factors on hand, foot and mouth disease in various climates: a spatial panel data model analysis. Wang C; Cao K; Zhang Y; Fang L; Li X; Xu Q; Huang F; Tao L; Guo J; Gao Q; Guo X BMC Infect Dis; 2016 May; 16():233. PubMed ID: 27230283 [TBL] [Abstract][Full Text] [Related]
19. Boosted regression tree model-based assessment of the impacts of meteorological drivers of hand, foot and mouth disease in Guangdong, China. Zhang W; Du Z; Zhang D; Yu S; Hao Y Sci Total Environ; 2016 May; 553():366-371. PubMed ID: 26930310 [TBL] [Abstract][Full Text] [Related]
20. Detecting the association between meteorological factors and hand, foot, and mouth disease using spatial panel data models. Wang H; Du Z; Wang X; Liu Y; Yuan Z; Liu Y; Xue F Int J Infect Dis; 2015 May; 34():66-70. PubMed ID: 25770912 [TBL] [Abstract][Full Text] [Related] [Next] [New Search]