A framework for evaluating the effects of observational type and quality on vector-borne disease forecast
Recent research has advanced infectious disease forecasting from an aspiration to an operational reality. The accuracy of such operational forecasting depends on the quantity and quality of observations available for system optimization. In particular, for forecasting systems that use combined mecha...
Main Authors: | , |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2020-03-01
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Series: | Epidemics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436518301798 |