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.
423 related articles for article (PubMed ID: 31740063)
21. Epidemiological characteristics of severe fever with thrombocytopenia syndrome and its relationship with meteorological factors in Liaoning Province, China. Wang Z; Yang S; Luo L; Guo X; Deng B; Zhao Z; Rui J; Yu S; Zhao B; Wang Y; Chen J; Sun Y; Chen T; Feng X Parasit Vectors; 2022 Aug; 15(1):283. PubMed ID: 35933453 [TBL] [Abstract][Full Text] [Related]
22. The influence of meteorological factors on tuberculosis incidence in Southwest China from 2006 to 2015. Xiao Y; He L; Chen Y; Wang Q; Meng Q; Chang W; Xiong L; Yu Z Sci Rep; 2018 Jul; 8(1):10053. PubMed ID: 29968800 [TBL] [Abstract][Full Text] [Related]
23. Estimating the tuberculosis incidence using a SARIMAX-NNARX hybrid model by integrating meteorological factors in Qinghai Province, China. Liang W; Hu A; Hu P; Zhu J; Wang Y Int J Biometeorol; 2023 Jan; 67(1):55-65. PubMed ID: 36271168 [TBL] [Abstract][Full Text] [Related]
24. Short-term effects of meteorological factors on hand, foot and mouth disease among children in Shenzhen, China: Non-linearity, threshold and interaction. Zhang Z; Xie X; Chen X; Li Y; Lu Y; Mei S; Liao Y; Lin H Sci Total Environ; 2016 Jan; 539():576-582. PubMed ID: 26386448 [TBL] [Abstract][Full Text] [Related]
25. Time series analysis of human brucellosis in mainland China by using Elman and Jordan recurrent neural networks. Wu W; An SY; Guan P; Huang DS; Zhou BS BMC Infect Dis; 2019 May; 19(1):414. PubMed ID: 31088391 [TBL] [Abstract][Full Text] [Related]
26. [Study on the correlation between meteorological factors and acute otitis media in outpatients of children in Beijing]. Lu YX; Liang JQ; Gu QL; Yu XM; Yan X Zhonghua Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2017 Oct; 52(10):724-728. PubMed ID: 29050087 [No Abstract] [Full Text] [Related]
27. Population-based study and a scoping review for the epidemiology and seasonality in and effect of weather on Bell's palsy. Kim MH; Park SY Sci Rep; 2021 Aug; 11(1):16941. PubMed ID: 34417505 [TBL] [Abstract][Full Text] [Related]
28. Spatial-temporal characteristics of severe fever with thrombocytopenia syndrome and the relationship with meteorological factors from 2011 to 2018 in Zhejiang Province, China. Wu H; Wu C; Lu Q; Ding Z; Xue M; Lin J PLoS Negl Trop Dis; 2020 Apr; 14(4):e0008186. PubMed ID: 32255791 [TBL] [Abstract][Full Text] [Related]
29. The weekly associations between climatic factors and Plasmodium vivax and Plasmodium falciparum malaria in China, 2005-2014. Hundessa S; Williams G; Li S; Guo J; Zhang W; Guo Y Trans R Soc Trop Med Hyg; 2017 May; 111(5):211-219. PubMed ID: 28957472 [TBL] [Abstract][Full Text] [Related]
30. The effect of meteorological variables on spontaneous pneumothorax in two regions with different altitudes. Daş M; Alar T; Delice O; Gedik İE; Bardakci O; Akman C; Ulaş AB; Akdur O Int J Biometeorol; 2021 Apr; 65(4):503-511. PubMed ID: 33145619 [TBL] [Abstract][Full Text] [Related]
31. Research on the predictive effect of a combined model of ARIMA and neural networks on human brucellosis in Shanxi Province, China: a time series predictive analysis. Zhai M; Li W; Tie P; Wang X; Xie T; Ren H; Zhang Z; Song W; Quan D; Li M; Chen L; Qiu L BMC Infect Dis; 2021 Mar; 21(1):280. PubMed ID: 33740904 [TBL] [Abstract][Full Text] [Related]
32. Time series analyses based on the joint lagged effect analysis of pollution and meteorological factors of hemorrhagic fever with renal syndrome and the construction of prediction model. Chen Y; Hou W; Dong J PLoS Negl Trop Dis; 2023 Jul; 17(7):e0010806. PubMed ID: 37486953 [TBL] [Abstract][Full Text] [Related]
33. Comparison of ARIMA model and XGBoost model for prediction of human brucellosis in mainland China: a time-series study. Alim M; Ye GH; Guan P; Huang DS; Zhou BS; Wu W BMJ Open; 2020 Dec; 10(12):e039676. PubMed ID: 33293308 [TBL] [Abstract][Full Text] [Related]
34. Driving role of climatic and socioenvironmental factors on human brucellosis in China: machine-learning-based predictive analyses. Chen H; Lin MX; Wang LP; Huang YX; Feng Y; Fang LQ; Wang L; Song HB; Wang LG Infect Dis Poverty; 2023 Apr; 12(1):36. PubMed ID: 37046326 [TBL] [Abstract][Full Text] [Related]
36. Epidemiological characteristics of gonorrhea and its influential meteorological factors: a 14-year retrospective assessment in China. Bu J; Zhou LJ; Xiao X; Yue Q; Hu G; Jiang P; Chen J; Lin Y Environ Sci Pollut Res Int; 2022 May; 29(23):35434-35442. PubMed ID: 35050473 [TBL] [Abstract][Full Text] [Related]
37. Machine learning methods reveal the temporal pattern of dengue incidence using meteorological factors in metropolitan Manila, Philippines. Carvajal TM; Viacrusis KM; Hernandez LFT; Ho HT; Amalin DM; Watanabe K BMC Infect Dis; 2018 Apr; 18(1):183. PubMed ID: 29665781 [TBL] [Abstract][Full Text] [Related]
38. Association between Meteorological Factors and Mumps and Models for Prediction in Chongqing, China. Zhang H; Su K; Zhong X Int J Environ Res Public Health; 2022 May; 19(11):. PubMed ID: 35682208 [TBL] [Abstract][Full Text] [Related]
39. Characteristics of particulate matter (PM10) and its relationship with meteorological factors during 2001-2012 in Beijing. Tian G; Qiao Z; Xu X Environ Pollut; 2014 Sep; 192():266-74. PubMed ID: 24857048 [TBL] [Abstract][Full Text] [Related]
40. [Research on the correlation between otorhinolaryngologic diseases and environmental meteorological factors in children]. Wang X; Wang M; Wang J; Tian H; Zhong C Lin Chuang Er Bi Yan Hou Tou Jing Wai Ke Za Zhi; 2020 Jun; 34(6):546-553. PubMed ID: 32842189 [No Abstract] [Full Text] [Related] [Previous] [Next] [New Search]