Practical unidentifiability of a simple vector-borne disease model: Implications for parameter estimation and intervention assessment
Mathematical modeling has an extensive history in vector-borne disease epidemiology, and is increasingly used for prediction, intervention design, and understanding mechanisms. Many studies rely on parameter estimation to link models and data, and to tailor predictions and counterfactuals to specifi...
Main Authors: | Yu-Han Kao, Marisa C. Eisenberg |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2018-12-01
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Series: | Epidemics |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1755436517301627 |
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