The Structural Identifiability of a Humidity-Driven Epidemiological Model of Influenza Transmission

The Structural Identifiability of a Humidity-Driven Epidemiological Model of Influenza Transmission

Influenza epidemics cause considerable morbidity and mortality every year worldwide. Climate-driven epidemiological models are mainstream tools to understand seasonal transmission dynamics and predict future trends of influenza activity, especially in temperate regions. Testing the structural identi...

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Bibliographic Details
Main Authors: Chunyang Zhang, Xiao Zhang, Yuan Bai, Eric H. Y. Lau, Sen Pei
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Viruses
Subjects:
influenza
structural identifiability
climate-driven epidemiological model
scaling method
Online Access:https://www.mdpi.com/1999-4915/14/12/2795

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https://www.mdpi.com/1999-4915/14/12/2795

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