IxPopDyMod: an R package to write, run, and analyze tick population and infection dynamics models.

Publisher: BioMed Central Country of Publication: England NLM ID: 101462774 Publication Model: Electronic Cited Medium: Internet ISSN: 1756-3305 (Electronic) Linking ISSN: 17563305 NLM ISO Abbreviation: Parasit Vectors Subsets: MEDLINE

Original Publication: London : BioMed Central

Lyme Disease*/epidemiology ; Ixodes* ; Ixodidae* ; Tick-Borne Diseases*/epidemiology ; Borrelia burgdorferi*; Animals ; Prevalence

Given the increasing prevalence of tick-borne diseases, such as Lyme disease, modeling the population and infection dynamics of tick vectors is an important public health tool. These models have applications for testing the effects of control methods or climate change on tick populations. There is an established history of tick population models, but code for them is rarely shared, especially not in a convenient format for others to modify and use. We present an R package, called IxPopDyMod, intended to function as a flexible and consistent framework for reproducible Ixodidae (hard-bodied ticks) population dynamics models. Here we focus on two key parts of the package: a function to create valid model configurations and a function to run a configured model and return the daily population over time. We provide three examples in appendices: one reproducing an existing Ixodes scapularis population model, one providing a novel Dermacentor albipictus model, and one showing Borrelia burgdorferi infection in ticks. Together these examples show the flexibility of the package to model scenarios of interest to tick researches.
(© 2024. The Author(s).)

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R15 AI153834 United States AI NIAID NIH HHS; R15AI153834 United States NH NIH HHS

Keywords: Borrelia burgdorferi; Dermacentor albipictus; IxPopDyMod; Ixodes scapularis; R package; Tick population dynamics

Date Created: 20240226 Date Completed: 20240228 Latest Revision: 20240229

20240229

PMC10898031

10.1186/s13071-024-06171-2

38409067