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This is a Quantitative Study study.

October 13, 2025Open Access

Multivariable Behavioral Change Modeling of Epidemics in the Presence of Undetected Infections

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The proposed model accounts for behavioral changes, improving epidemic predictions and public health strategies.
Incorporating data from hospitalizations and deaths enhances the understanding of disease dynamics in populations.
The framework captures uncertainty from undetected infections, allowing for more reliable epidemic modeling.
Simulations validate the model's effectiveness, showing its utility with real COVID-19 data from Montreal and Miami.

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Bayesian modeling uncovers dynamics of infectious diseases, addressing behavioral change and undetected infections.

Ward et al. (2025) studied this question.

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