148 related articles for article (PubMed ID: 37993836)
1. Application of exponential smoothing method and SARIMA model in predicting the number of admissions in a third-class hospital in Zhejiang Province.
Yang W; Su A; Ding L
BMC Public Health; 2023 Nov; 23(1):2309. PubMed ID: 37993836
[TBL] [Abstract][Full Text] [Related]
2. 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]
3. Research on hand, foot and mouth disease incidence forecasting using hybrid model in mainland China.
Zhao D; Zhang H; Zhang R; He S
BMC Public Health; 2023 Mar; 23(1):619. PubMed ID: 37003988
[TBL] [Abstract][Full Text] [Related]
4. Comparison of SARIMA model, Holt-winters model and ETS model in predicting the incidence of foodborne disease.
Xian X; Wang L; Wu X; Tang X; Zhai X; Yu R; Qu L; Ye M
BMC Infect Dis; 2023 Nov; 23(1):803. PubMed ID: 37974072
[TBL] [Abstract][Full Text] [Related]
5. Statistical methods for predicting tuberculosis incidence based on data from Guangxi, China.
Zheng Y; Zhang L; Wang L; Rifhat R
BMC Infect Dis; 2020 Apr; 20(1):300. PubMed ID: 32321419
[TBL] [Abstract][Full Text] [Related]
6. 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]
7. 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]
8. 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]
9. A new hybrid model SARIMA-ETS-SVR for seasonal influenza incidence prediction in mainland China.
Zhao D; Zhang R
J Infect Dev Ctries; 2023 Nov; 17(11):1581-1590. PubMed ID: 38064398
[TBL] [Abstract][Full Text] [Related]
10. 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]
11. Time series model for forecasting the number of new admission inpatients.
Zhou L; Zhao P; Wu D; Cheng C; Huang H
BMC Med Inform Decis Mak; 2018 Jun; 18(1):39. PubMed ID: 29907102
[TBL] [Abstract][Full Text] [Related]
12. Forecasting the incidence of mumps in Chongqing based on a SARIMA model.
Qiu H; Zhao H; Xiang H; Ou R; Yi J; Hu L; Zhu H; Ye M
BMC Public Health; 2021 Feb; 21(1):373. PubMed ID: 33596871
[TBL] [Abstract][Full Text] [Related]
13. Forecasting the incidence of acute haemorrhagic conjunctivitis in Chongqing: a time series analysis.
Qiu H; Zeng D; Yi J; Zhu H; Hu L; Jing D; Ye M
Epidemiol Infect; 2020 Aug; 148():e193. PubMed ID: 32807257
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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]
16. 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]
17. Prediction of reported monthly incidence of hepatitis B in Hainan Province of China based on SARIMA-BPNN model.
Fang K; Cao L; Fu Z; Li W
Medicine (Baltimore); 2023 Oct; 102(41):e35054. PubMed ID: 37832091
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. Forecast of the trend in incidence of acute hemorrhagic conjunctivitis in China from 2011-2019 using the Seasonal Autoregressive Integrated Moving Average (SARIMA) and Exponential Smoothing (ETS) models.
Liu H; Li C; Shao Y; Zhang X; Zhai Z; Wang X; Qi X; Wang J; Hao Y; Wu Q; Jiao M
J Infect Public Health; 2020 Feb; 13(2):287-294. PubMed ID: 31953020
[TBL] [Abstract][Full Text] [Related]
20. 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]
[Next] [New Search]
