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Modeling preferential attraction to infected hosts in vector-borne diseases
1School of Interdisciplinary Informatics, University of Nebraska at Omaha, Omaha, NE, United States.
Frontiers in Public Health
|December 11, 2023
Summary
Mosquitoes attracted to infected hosts significantly increase disease spread. Reducing this attraction can lower viral transmission and protect public health.
Area of Science:
- Epidemiology
- Vector-borne diseases
- Mathematical modeling
Background:
- Vector-borne infectious diseases cause over 700,000 deaths annually, posing a growing global health risk.
- Understanding viral propagation mechanisms is crucial for effective disease mitigation strategies.
- Aedes mosquitoes, vectors for dengue and Zika, show preferential attraction to infected hosts.
Purpose of the Study:
- To quantify the impact of vector preferential attraction to infected hosts on viral spread.
- To assess how this behavioral trait influences viral load and infection persistence.
Main Methods:
- Development of a dedicated agent-based model.
- Parameterization of the model using dengue fever data.
- Systematic simulation to study the effect of preferential attraction.
Main Results:
- Even minor preferential attraction dramatically increases the number of infected individuals.
- Preferential attraction significantly impacts the persistence of infection within a population.
- The intensity of attraction correlates with the scale of viral transmission.
Conclusions:
- Preferential attraction of vectors to infected hosts is a critical factor in viral transmission dynamics.
- Interventions targeting vector behavior, specifically reducing attraction to infected hosts, show public health potential.
- Modulating vector attraction could be a novel strategy for controlling vector-borne diseases.
