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Modeling the epidemiological impact of a preventive behavioral group
Fernando Córdova-Lepe1, Maritza Cabrera Hernández2, Juan Pablo Gutiérrez-Jara3
1Facultad de Ciencias Básicas, Universidad Católica del Maule, Región del Maule, Chile. Address: Universidad Católica del Maule, Avenida San Miguel 3605, Talca, Región del Maule, Chile, CP: 3480112.
Medwave
|January 12, 2019
Summary
Aware individuals significantly reduce disease spread. Mathematical modeling shows their proactive health behaviors lower the basic reproduction number, preventing many infections and minimizing public health risks.
Area of Science:
- Mathematical Epidemiology
- Public Health Behavior Analysis
Background:
- A segment of the population actively engages in disease prevention during epidemics.
- Others exhibit less proactive behavior unless facing severe outcomes.
Purpose of the Study:
- To quantify the impact of conscientious health behaviors on disease transmission using mathematical epidemiology.
- To determine the basic reproduction number based on the size and intensity of preventive actions.
Main Methods:
- Utilized a Susceptible-Infectious-Recovered (SIR) epidemiological model.
- Evaluated factors influencing disease spread related to aware individual behaviors.
- Calculated prevented disease prevalence under various scenarios.
Main Results:
- The size and intensity of aware group behaviors directly influence the basic reproduction number.
- Individual and total prevented disease prevalence were calculated for different parametric settings.
- Mathematical modeling confirmed the significant impact of proactive health behaviors on reducing transmission.
Conclusions:
- Conscientious health behaviors are crucial in mitigating contagious disease spread.
- Inclusion of social distancing and interpersonal contact factors is recommended for transmission potential models.
- Mathematical frameworks effectively assess the public health impact of individual-level preventive actions.
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