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Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
Published on: August 25, 2018
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Modeling the invasion and establishment of a tick-borne pathogen
Azmy S Ackleh1, Amy Veprauskas1
1Department of Mathematics, University of Louisiana at Lafayette, Lafayette, LA 70504-1010, USA.
Summary
This study models tick-borne disease spread, finding increased tick survival aids pathogen invasion and establishment. Disease prevalence and establishment time are sensitive to tick survival but not transmission efficiency.
Area of Science:
- Ecology
- Epidemiology
- Mathematical Biology
Background:
- Tick-borne diseases pose significant public health and ecological challenges.
- Understanding pathogen transmission dynamics within tick populations is crucial for effective control strategies.
Purpose of the Study:
- To develop and analyze a discrete-time tick-host-pathogen model.
- To investigate the invasion and establishment dynamics of diseases in hard-bodied ticks.
- To quantify the impact of various parameters on disease spread and prevalence.
Main Methods:
- Developed a discrete-time model incorporating tick developmental stages, host availability, and pathogen transmission routes.
- Analyzed the disease-free system's global dynamics.
- Applied the model to *Borellia burgdorferi* and *Anaplasma phagocytophila* in *Ixodes ricinus* ticks.
- Utilized Monte Carlo simulations to calculate disease metrics and parameter elasticities.
Main Results:
- Increased tick survival facilitates disease invasion, reduces establishment time, and increases prevalence.
- Disease invasion is sensitive to tick-to-host transmission and searching efficiency.
- Disease prevalence and establishment time are not sensitive to transmission efficiency or searching efficiency.
Conclusions:
- Tick survival is a critical factor influencing the establishment and prevalence of tick-borne diseases.
- Modeling approaches are essential for understanding disease dynamics beyond initial invasion, including transitional and long-term phases.
- The developed model provides a framework for studying complex tick-host-pathogen interactions.
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