ArticleJournal of medical entomology2020
LYMESIM 2.0: An Updated Simulation of Blacklegged Tick (Acari: Ixodidae) Population Dynamics and Enzootic Transmission of Borrelia burgdorferi (Spirochaetales: Spirochaetaceae).
Article in Journal of medical entomology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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Who cites it
19 citing papers in PubMed.
- Spatial modeling of Borrelia genospecies in human-biting ticks from the French citizen science programme CiTIQUE.Scientific reports · 2026Article
- Tick ecology and host-finding efficiency interact to determine disease risk: a model of heartwater dynamics.Parasitology · 2025Article
- A mechanistic model explains variation in larval tick questing phenology along an elevation gradient.Royal Society open science · 2025Article
- Understanding climate-sensitive tick development and diapause with a structured population model.Frontiers in veterinary science · 2025Article
- Impact of climate change on the tick-host-pathogen complex: distribution patterns, disease incidence, and host infestation.Revista brasileira de parasitologia veterinaria = Brazilian journal of veterinary parasitology : Orgao Oficial do Colegio Brasileiro de Parasitologia Veterinaria · 2025Review
- Spatial and temporal distribution of Ixodes scapularis and tick-borne pathogens across the northeastern United States.Parasites & vectors · 2024Article
- Modeling platform to assess the effectiveness of single and integrated Ixodes scapularis tick control methods.Parasites & vectors · 2024Article
- Pharmacological studies and pharmacokinetic modelling to support the development of interventions targeting ecological reservoirs of Lyme disease.Scientific reports · 2024Article
- IxPopDyMod: an R package to write, run, and analyze tick population and infection dynamics models.Parasites & vectors · 2024Article
- Lyme Disease Models of Tick-Mouse Dynamics with Seasonal Variation in Births, Deaths, and Tick Feeding.Bulletin of mathematical biology · 2024Article
- Feeding and reproductive parameters of adult female Ixodes scapularis (Acari: Ixodidae) and Amblyomma americanum parasitizing white-tailed deer (Odocoileus virginianus).Journal of medical entomology · 2024Article
- How do host population dynamics impact Lyme disease risk dynamics in theoretical models?PloS one · 2024Article
- Assessing the Influence of Climate Change and Environmental Factors on the Top Tick-Borne Diseases in the United States: A Systematic Review.Microorganisms · 2023Review
- Exploring blood microbial communities and their influence on human cardiovascular disease.Journal of clinical laboratory analysis · 2022Review
- The evolving story of Borrelia burgdorferi sensu lato transmission in Europe.Parasitology research · 2022Review
- The environment, the tick, and the pathogen - It is an ensemble.Frontiers in cellular and infection microbiology · 2022Review
- Active Forest Management Reduces Blacklegged Tick and Tick-Borne Pathogen Exposure Risk.EcoHealth · 2021Article
- Benefits and Drawbacks of Citizen Science to Complement Traditional Data Gathering Approaches for Medically Important Hard Ticks (Acari: Ixodidae) in the United States.Journal of medical entomology · 2021Review
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Authors and funding
6 authors.
Funding
Abstract
Lyme disease is the most commonly reported vector-borne disease in the United States, and the number of cases reported each year continues to rise. The complex nature of the relationships between the pathogen (Borrelia burgdorferi sensu stricto), the tick vector (Ixodes scapularis Say), multiple vertebrate hosts, and numerous environmental factors creates challenges for understanding and predicting tick population and pathogen transmission dynamics. LYMESIM is a mechanistic model developed in the late 1990s to simulate the life-history of I. scapularis and transmission dynamics of B. burgdorferi s.s. Here we present LYMESIM 2.0, a modernized version of LYMESIM, that includes several modifications to enhance the biological realism of the model and to generate outcomes that are more readily measured under field conditions. The model is tested for three geographically distinct locations in New York, Minnesota, and Virginia. Model-simulated timing and densities of questing nymphs, infected nymphs, and abundances of nymphs feeding on hosts are consistent with field observations and reports for these locations. Sensitivity analysis highlighted the importance of temperature in host finding for the density of nymphs, the importance of transmission from small mammals to ticks on the density of infected nymphs, and temperature-related tick survival for both density of nymphs and infected nymphs. A key challenge for accurate modeling of these metrics is the need for regionally representative inputs for host populations and their fluctuations. LYMESIM 2.0 is a useful public health tool that downstream can be used to evaluate tick control interventions and can be adapted for other ticks and pathogens.
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