Big data assimilation to improve the predictability of COVID-19
The global outbreak of COVID-19 requires us to accurately predict the spread of disease and decide how adopting corresponding strategies to ensure the sustainable development. Most of the existing infectious disease forecasting methods are based on the classical Susceptible-Infectious-Removed (SIR)...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2020-12-01
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| Series: | Geography and Sustainability |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666683920300602 |