Practical unidentifiability of a simple vector-borne disease model: implications for parameter estimation and intervention assessment

Abstract excerpt

<h4>Background</h4> Mathematical modeling has an extensive history in vector-borne disease epidemiology, and is increasingly used for prediction, intervention design, and understanding mechanisms. Many of these studies rely on parameter estimation to link models and data, and to tailor predictions and counterfactuals to specific settings. However, few studies have formally evaluated whether vector-borne disease m...

Topics

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• Bayes Theorem
• Communicable Diseases
• Likelihood Functions
• Malaria Research and Control
• Models, Statistical
• Mosquito-borne diseases and control
• Mutation Rate
• Viral Infections and Vectors

Identifiers and source

Literature Corpus work

e7ae1272-bf2b-5d15-9876-fde40a22ce1b

DOI

10.1101/164079