Risk Behavior, Backward Bifurcation, and Vaccine Effectiveness in Disease Dynamics.
Pedroza-Meza, I.; Acuna-Zegarra, M. A.; Velasco-Hernandez, J. X.
Show abstract
Vaccination is a cornerstone of infectious disease control, yet vaccines are not fully protective, leaving a fraction of the vaccinated population susceptible to infection. This partial protection can alter behavior, as individuals who perceive themselves as immune may reduce adherence to preventive measures. Motivated by this, we investigate how behavioral changes among non-immune vaccinated individuals influence the dynamics of a directly transmitted disease and the basic reproduction number. We propose a model that incorporates vaccine failure through three facets (take, degree, and duration) alongside a behavioral parameter that modifies contact rates according to compliance with mitigation measures. Our analysis highlights the critical role of the behavioral index in key phenomena, including backward bifurcation and overall disease dynamics. We identify two thresholds. The first specifies the values of the behavioral index for which backward bifurcation does not arise, thereby indicating the conditions under which the disease may persist. The second establishes a relationship between the behavioral index and vaccine efficacy, which allows us to compare the transmission dynamics of our model with those of the classical vaccination model.
Matching journals
The top 5 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A two-sex model of human papillomavirus infection: Vaccination strategies and a case study 97%
- Global analysis of a cancer model with drug resistance due to Lamarckian induction and microvesicle transfer 97%
- An optimal network that promotes the spread of an advantageous variant in an SIR epidemic 97%
Similar papers in this journal
Similar papers in this journal
Similar papers in this journal
- Population dynamics with threshold effects give rise to a diverse family of Allee effects 97%
- Parameter fitting using time-scale analysis for vector-borne diseases with spatial dynamics 96%
- Modeling and Global Sensitivity Analysis of Strategies to Mitigate Covid-19 Transmission on a Structured College Campus 96%
Similar papers in this journal
- Modelling COVID-19 mutant dynamics: understanding the interplay between viral evolution and disease transmission dynamics 98%
- The trade-off between mobility and vaccination for COVID-19 control: a metapopulation modeling approach 98%
- Sensitivity of endemic behaviour of Covid-19 under a multi-dose vaccination regime, to various biological parameters and control variables 98%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.