199 related articles for article (PubMed ID: 32273731)
1. An Advanced Data-Driven Hybrid Model of SARIMA-NNNAR for Tuberculosis Incidence Time Series Forecasting in Qinghai Province, China.
Wang Y; Xu C; Li Y; Wu W; Gui L; Ren J; Yao S
Infect Drug Resist; 2020; 13():867-880. PubMed ID: 32273731
[TBL] [Abstract][Full Text] [Related]
2. Temporal trends analysis of tuberculosis morbidity in mainland China from 1997 to 2025 using a new SARIMA-NARNNX hybrid model.
Wang Y; Xu C; Zhang S; Wang Z; Yang L; Zhu Y; Yuan J
BMJ Open; 2019 Jul; 9(7):e024409. PubMed ID: 31371283
[TBL] [Abstract][Full Text] [Related]
3. Forecasting the Tuberculosis Incidence Using a Novel Ensemble Empirical Mode Decomposition-Based Data-Driven Hybrid Model in Tibet, China.
Li J; Li Y; Ye M; Yao S; Yu C; Wang L; Wu W; Wang Y
Infect Drug Resist; 2021; 14():1941-1955. PubMed ID: 34079304
[TBL] [Abstract][Full Text] [Related]
4. Applying SARIMA, ETS, and hybrid models for prediction of tuberculosis incidence rate in Taiwan.
Kuan MM
PeerJ; 2022; 10():e13117. PubMed ID: 36164599
[TBL] [Abstract][Full Text] [Related]
5. 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]
6. 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]
7. Seasonality and Trend Forecasting of Tuberculosis Prevalence Data in Eastern Cape, South Africa, Using a Hybrid Model.
Azeez A; Obaromi D; Odeyemi A; Ndege J; Muntabayi R
Int J Environ Res Public Health; 2016 Jul; 13(8):. PubMed ID: 27472353
[TBL] [Abstract][Full Text] [Related]
8. Epidemiology and time series analysis of human brucellosis in Tebessa province, Algeria, from 2000 to 2020.
Akermi SE; L'Hadj M; Selmane S
J Res Health Sci; 2022 Mar; 22(1):e00544. PubMed ID: 36511254
[TBL] [Abstract][Full Text] [Related]
9. 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]
10. Time-series analysis of tuberculosis from 2005 to 2017 in China.
Wang H; Tian CW; Wang WM; Luo XM
Epidemiol Infect; 2018 Jun; 146(8):935-939. PubMed ID: 29708082
[TBL] [Abstract][Full Text] [Related]
11. 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]
12. Seasonal behavior and forecasting trends of tuberculosis incidence in Holy Kerbala, Iraq.
Mohammed SH; Ahmed MM; Al-Mousawi AM; Azeez A
Int J Mycobacteriol; 2018; 7(4):361-367. PubMed ID: 30531036
[TBL] [Abstract][Full Text] [Related]
13. Seasonality and trend prediction of scarlet fever incidence in mainland China from 2004 to 2018 using a hybrid SARIMA-NARX model.
Wang Y; Xu C; Wang Z; Yuan J
PeerJ; 2019; 7():e6165. PubMed ID: 30671295
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. A Hybrid Approach Based on Seasonal Autoregressive Integrated Moving Average and Neural Network Autoregressive Models to Predict Scorpion Sting Incidence in El Oued Province, Algeria, From 2005 to 2020.
Zenia S; L'Hadj M; Selmane S
J Res Health Sci; 2023 Sep; 23(3):e00586. PubMed ID: 38315901
[TBL] [Abstract][Full Text] [Related]
17. 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]
18. Forecasting the incidence of tuberculosis in China using the seasonal auto-regressive integrated moving average (SARIMA) model.
Mao Q; Zhang K; Yan W; Cheng C
J Infect Public Health; 2018; 11(5):707-712. PubMed ID: 29730253
[TBL] [Abstract][Full Text] [Related]
19. Study on the prediction effect of a combined model of SARIMA and LSTM based on SSA for influenza in Shanxi Province, China.
Zhao Z; Zhai M; Li G; Gao X; Song W; Wang X; Ren H; Cui Y; Qiao Y; Ren J; Chen L; Qiu L
BMC Infect Dis; 2023 Feb; 23(1):71. PubMed ID: 36747126
[TBL] [Abstract][Full Text] [Related]
20. Time series analysis-based seasonal autoregressive fractionally integrated moving average to estimate hepatitis B and C epidemics in China.
Wang YB; Qing SY; Liang ZY; Ma C; Bai YC; Xu CJ
World J Gastroenterol; 2023 Nov; 29(42):5716-5727. PubMed ID: 38075851
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]