Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans
Published 2016 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Using a Hybrid Model to Forecast the Prevalence of Schistosomiasis in Humans
Authors
Keywords
-
Journal
International Journal of Environmental Research and Public Health
Volume 13, Issue 4, Pages 355
Publisher
MDPI AG
Online
2016-03-23
DOI
10.3390/ijerph13040355
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Error modeling approach to improve time series forecasters
- (2015) Paulo Renato A. Firmino et al. NEUROCOMPUTING
- An Approach to Improve the Performance of PM Forecasters
- (2015) Paulo S. G. de Mattos Neto et al. PLoS One
- A moving-average filter based hybrid ARIMA–ANN model for forecasting time series data
- (2014) C. Narendra Babu et al. APPLIED SOFT COMPUTING
- Apropos: factors impacting on progress towards elimination of transmission of schistosomiasis japonica in China
- (2014) Wei Wang et al. Parasites & Vectors
- A Hybrid Model for Predicting the Prevalence of Schistosomiasis in Humans of Qianjiang City, China
- (2014) Lingling Zhou et al. PLoS One
- The development of a combined mathematical model to forecast the incidence of hepatitis E in Shanghai, China
- (2013) Hong Ren et al. BMC INFECTIOUS DISEASES
- Comment on “Short-term acoustic forecasting via artificial neural networks for neonatal intensive care units” [J. Acoust. Soc. Am. 132, 3234–3239 (2012)]
- (2013) Munhum Park JOURNAL OF THE ACOUSTICAL SOCIETY OF AMERICA
- Correcting and combining time series forecasters
- (2013) Paulo Renato A. Firmino et al. NEURAL NETWORKS
- The new national integrated strategy emphasizing infection sources control for schistosomiasis control in China has made remarkable achievements
- (2013) Rong Liu et al. PARASITOLOGY RESEARCH
- Application of a Hybrid Model for Predicting the Incidence of Tuberculosis in Hubei, China
- (2013) Guoliang Zhang et al. PLoS One
- Application of an Autoregressive Integrated Moving Average Model for Predicting the Incidence of Hemorrhagic Fever with Renal Syndrome
- (2012) Qi Li et al. AMERICAN JOURNAL OF TROPICAL MEDICINE AND HYGIENE
- Factors impacting on progress towards elimination of transmission of schistosomiasis japonica in China
- (2012) Yi-Biao Zhou et al. Parasites & Vectors
- A Bayesian analysis of the 2009 decline in tuberculosis morbidity in the United States
- (2012) Michael P. Chen et al. STATISTICS IN MEDICINE
- Schistosomiasis control and the health system in P.R. China
- (2012) Charles Collins et al. Infectious Diseases of Poverty
- Time series analysis of dengue incidence in Guadeloupe, French West Indies: Forecasting models using climate variables as predictors
- (2011) Myriam Gharbi et al. BMC INFECTIOUS DISEASES
- Forecasting of cyanobacterial density in Torrão reservoir using artificial neural networks
- (2011) Rita Torres et al. JOURNAL OF ENVIRONMENTAL MONITORING
- A novel hybridization of artificial neural networks and ARIMA models for time series forecasting
- (2010) Mehdi Khashei et al. APPLIED SOFT COMPUTING
- Schistosomiasis in the People's Republic of China: the Era of the Three Gorges Dam
- (2010) D. P. McManus et al. CLINICAL MICROBIOLOGY REVIEWS
- Forecasting hourly PM10 concentration in Cyprus through artificial neural networks and multiple regression models: implications to local environmental management
- (2010) Anastasia K. Paschalidou et al. ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
- An autoregressive integrated moving average model for short-term prediction of hepatitis C virus seropositivity among male volunteer blood donors in Karachi, Pakistan
- (2009) Saeed Akhtar et al. WORLD JOURNAL OF GASTROENTEROLOGY
Find the ideal target journal for your manuscript
Explore over 38,000 international journals covering a vast array of academic fields.
SearchCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now