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Updated: Jun 10, 2026
07:21
Tick Microbiome Characterization by Next-Generation 16S rRNA Amplicon Sequencing
Published on: August 25, 2018
Metapopulation models in tick-borne disease transmission modelling.
1Community and Environmental Health, College of Health Sciences, Old Dominion University, 3133A Health Sciences Building, Norfolk, Virginia 23529, USA. hgaff@odu.edu
Advances in Experimental Medicine and Biology
|July 17, 2010
Summary
Human monocytic ehrlichiosis (HME) risk depends on complex tick population dynamics and spatial factors. Control strategies for this tick-borne illness are most effective in wooded areas, highlighting habitat
Area of Science:
- * Ecology and Epidemiology
- * Mathematical Modeling of Infectious Diseases
Background:
- * Human monocytic ehrlichiosis (HME), caused by Ehrlichia chaffeensis, is an emerging tick-borne disease in the United States.
- * Assessing HME risk to humans necessitates understanding its prevalence within tick populations.
Purpose of the Study:
- * To investigate the dynamics of HME prevalence in tick populations using a deterministic model.
- * To explore the impact of spatial considerations, habitat type, and fragmentation on disease dynamics.
Main Methods:
- * Development and analysis of a deterministic model for HME dynamics.
- * Simulation of disease spread in single and spatially-explicit patches.
- * Examination of factors like patch connectivity, surrounding environment, and boundary effects.
Main Results:
- * Disease endemicity is influenced by complex interactions between spatial factors and habitat.
- * Control efforts for HME are more effective in wooded habitats compared to grassy areas.
- * Habitat fragmentation significantly impacts the prediction of HME outbreak endemicity.
Conclusions:
- * Predicting human risk from HME requires understanding intricate ecological and spatial interactions.
- * Tick-borne diseases, including HME, represent complex, nonlinear systems requiring further research.
- * Spatial modeling is crucial for effective disease risk assessment and control strategy development.
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