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DOI | 10.1186/s13071-024-06171-2 |
IxPopDyMod: an R package to write, run, and analyze tick population and infection dynamics models | |
发表日期 | 2024 |
ISSN | 1756-3305 |
起始页码 | 17 |
结束页码 | 1 |
卷号 | 17期号:1 |
英文摘要 | 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. |
英文关键词 | Tick population dynamics; R package; IxPopDyMod; Ixodes scapularis; Dermacentor albipictus; Borrelia burgdorferi |
语种 | 英语 |
WOS研究方向 | Parasitology ; Tropical Medicine |
WOS类目 | Parasitology ; Tropical Medicine |
WOS记录号 | WOS:001177139800002 |
来源期刊 | PARASITES & VECTORS |
文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/294073 |
推荐引用方式 GB/T 7714 | . IxPopDyMod: an R package to write, run, and analyze tick population and infection dynamics models[J],2024,17(1). |
APA | (2024).IxPopDyMod: an R package to write, run, and analyze tick population and infection dynamics models.PARASITES & VECTORS,17(1). |
MLA | "IxPopDyMod: an R package to write, run, and analyze tick population and infection dynamics models".PARASITES & VECTORS 17.1(2024). |
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