BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

243 related articles for article (PubMed ID: 31953020)

  • 21. Epidemiological Characteristics and Spatiotemporal Analysis of Acute Hemorrhagic Conjunctivitis from 2004 to 2018 in Chongqing, China.
    Jing D; Zhao H; Ou R; Zhu H; Hu L; Giri M; Ye M
    Sci Rep; 2020 Jun; 10(1):9286. PubMed ID: 32518362
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Effects of Floods on the Incidence of Acute Hemorrhagic Conjunctivitis in Mengshan, China, from 2005 to 2012.
    Liu X; Qiu S; Liu Z; Chen D; Liu H; Ding G
    Am J Trop Med Hyg; 2020 Jun; 102(6):1263-1268. PubMed ID: 32228794
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Predicting Seasonal Influenza Based on SARIMA Model, in Mainland China from 2005 to 2018.
    Cong J; Ren M; Xie S; Wang P
    Int J Environ Res Public Health; 2019 Nov; 16(23):. PubMed ID: 31783697
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Seasonality and Trend Forecasting of Tuberculosis Incidence in Chongqing, China.
    Liao Z; Zhang X; Zhang Y; Peng D
    Interdiscip Sci; 2019 Mar; 11(1):77-85. PubMed ID: 30734907
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Epidemiological features and time-series analysis of influenza incidence in urban and rural areas of Shenyang, China, 2010-2018.
    Chen Y; Leng K; Lu Y; Wen L; Qi Y; Gao W; Chen H; Bai L; An X; Sun B; Wang P; Dong J
    Epidemiol Infect; 2020 Feb; 148():e29. PubMed ID: 32054544
    [TBL] [Abstract][Full Text] [Related]  

  • 26. A hybrid seasonal prediction model for tuberculosis incidence in China.
    Cao S; Wang F; Tam W; Tse LA; Kim JH; Liu J; Lu Z
    BMC Med Inform Decis Mak; 2013 May; 13():56. PubMed ID: 23638635
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Secular Seasonality and Trend Forecasting of Tuberculosis Incidence Rate in China Using the Advanced Error-Trend-Seasonal Framework.
    Wang Y; Xu C; Ren J; Wu W; Zhao X; Chao L; Liang W; Yao S
    Infect Drug Resist; 2020; 13():733-747. PubMed ID: 32184635
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Epidemiological characteristics and forecasting incidence for patients with breast cancer in Shantou, Southern China: 2006-2017.
    Lin H; Shi L; Zhang J; Zhang J; Zhang C
    Cancer Med; 2021 Apr; 10(8):2904-2913. PubMed ID: 33724693
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Trend analysis and prediction of gonorrhea in mainland China based on a hybrid time series model.
    Wang Z; Wang Y; Zhang S; Wang S; Xu Z; Feng Z
    BMC Infect Dis; 2024 Jan; 24(1):113. PubMed ID: 38253998
    [TBL] [Abstract][Full Text] [Related]  

  • 30. Comparison of autoregressive integrated moving average model and generalised regression neural network model for prediction of haemorrhagic fever with renal syndrome in China: a time-series study.
    Wang YW; Shen ZZ; Jiang Y
    BMJ Open; 2019 Jun; 9(6):e025773. PubMed ID: 31209084
    [TBL] [Abstract][Full Text] [Related]  

  • 31. A hybrid model for short-term bacillary dysentery prediction in Yichang City, China.
    Yan W; Xu Y; Yang X; Zhou Y
    Jpn J Infect Dis; 2010 Jul; 63(4):264-70. PubMed ID: 20657066
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Forecasting the Incidence of Mumps in Zibo City Based on a SARIMA Model.
    Xu Q; Li R; Liu Y; Luo C; Xu A; Xue F; Xu Q; Li X
    Int J Environ Res Public Health; 2017 Aug; 14(8):. PubMed ID: 28817101
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Prevalence of haemorrhagic fever with renal syndrome in mainland China: analysis of National Surveillance Data, 2004-2009.
    Liu X; Jiang B; Bi P; Yang W; Liu Q
    Epidemiol Infect; 2012 May; 140(5):851-7. PubMed ID: 21791148
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Long-term effects of weather condition and air pollution on acute hemorrhagic conjunctivitis in China: A nationalwide surveillance study in China.
    Zhang L; Jiang H; Wang K; Yuan Y; Fu Q; Jin X; Zhao N; Huang X; Wang S; Zhang T; Yao K; Chan TC; Xu W; Liu S
    Environ Res; 2021 Oct; 201():111616. PubMed ID: 34233156
    [TBL] [Abstract][Full Text] [Related]  

  • 35. Time series analysis and forecasting of chlamydia trachomatis incidence using surveillance data from 2008 to 2019 in Shenzhen, China.
    Weng RX; Fu HL; Zhang CL; Ye JB; Hong FC; Chen XS; Cai YM
    Epidemiol Infect; 2020 Mar; 148():e76. PubMed ID: 32178748
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Time series modeling of pertussis incidence in China from 2004 to 2018 with a novel wavelet based SARIMA-NAR hybrid model.
    Wang Y; Xu C; Wang Z; Zhang S; Zhu Y; Yuan J
    PLoS One; 2018; 13(12):e0208404. PubMed ID: 30586416
    [TBL] [Abstract][Full Text] [Related]  

  • 37. A Combined Model of SARIMA and Prophet Models in Forecasting AIDS Incidence in Henan Province, China.
    Luo Z; Jia X; Bao J; Song Z; Zhu H; Liu M; Yang Y; Shi X
    Int J Environ Res Public Health; 2022 May; 19(10):. PubMed ID: 35627447
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Decreased incidence of acute hemorrhagic conjunctivitis associated with enhanced public health intervention during the COVID-19 epidemic in China, 2020.
    Zhang L; Guo X; Jiang H; Zhao N; Cheng W; Xu W; Liu S
    Arch Virol; 2022 Feb; 167(2):577-581. PubMed ID: 35039974
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Spatiotemporal characteristics and the epidemiology of tuberculosis in China from 2004 to 2017 by the nationwide surveillance system.
    Zuo Z; Wang M; Cui H; Wang Y; Wu J; Qi J; Pan K; Sui D; Liu P; Xu A
    BMC Public Health; 2020 Aug; 20(1):1284. PubMed ID: 32843011
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Time series analysis of rubella incidence in Chongqing, China using SARIMA and BPNN mathematical models.
    Chen Q; Zhao H; Qiu H; Wang Q; Zeng D; Ye M
    J Infect Dev Ctries; 2022 Aug; 16(8):1343-1350. PubMed ID: 36099379
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 13.