A Deep Learning Framework for COVID Outbreak Prediction
@article{Neeraj2020ADL, title={A Deep Learning Framework for COVID Outbreak Prediction}, author={Neeraj and J. Mathew and R. K. Behera and Zenin Easa Panthakkalakath}, journal={ArXiv}, year={2020}, volume={abs/2010.00382} }
The outbreak of COVID-19 i.e. a variation of coronavirus, also known as novel corona virus causing respiratory disease is a big concern worldwide since the end of December 2019. As of September 12, 2020, it has turned into an epidemic outbreak with more than 29 million confirmed cases and around 1 million reported deaths worldwide. It has created an urgent need to monitor and forecast COVID-19 spread behavior to better control this spread. Among all the popular models for COVID-19 forecasting… CONTINUE READING
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SHOWING 1-10 OF 62 REFERENCES
Time series forecasting of COVID-19 transmission in Canada using LSTM networks☆
- Geography, Medicine
- Chaos, Solitons & Fractals
- 2020
- 102
Real-time forecasts and risk assessment of novel coronavirus (COVID-19) cases: A data-driven analysis
- Geography, Mathematics
- medRxiv
- 2020
- 80
A realistic two-strain model for MERS-CoV infection uncovers the high risk for epidemic propagation
- Biology, Medicine
- PLoS neglected tropical diseases
- 2020
- 16
- PDF
Spatiotemporal dengue fever hotspots associated with climatic factors in Taiwan including outbreak predictions based on machine-learning.
- Geography, Medicine
- Geospatial health
- 2019
- 12
- PDF
Predicting antigenic variants of H1N1 influenza virus based on epidemics and pandemics using a stacking model
- Biology, Medicine
- PloS one
- 2018
- 12
- PDF
Estimation of COVID-19 prevalence in Italy, Spain, and France
- Geography, Medicine
- Science of The Total Environment
- 2020
- 136
Coronavirus pandemic: A predictive analysis of the peak outbreak epidemic in South Africa, Turkey, and Brazil
- Geography, Medicine
- Chaos, Solitons & Fractals
- 2020
- 21
Prediction for global African swine fever outbreaks based on a combination of random forest algorithms and meteorological data.
- Geography, Medicine
- Transboundary and emerging diseases
- 2019
- 12
Comparative evaluation of time series models for predicting influenza outbreaks: application of influenza-like illness data from sentinel sites of healthcare centers in Iran
- Medicine
- BMC Research Notes
- 2019
- 15
Analysis and forecast of COVID-19 spreading in China, Italy and France
- Geography, Biology
- Chaos, Solitons & Fractals
- 2020
- 318
- PDF