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Lett Biomath. 2019;6(1):50-66. doi: 10.1080/23737867.2019.1682473.
2
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本文引用的文献

1
Expanding Range of Amblyomma americanum and Simultaneous Changes in the Epidemiology of Spotted Fever Group Rickettsiosis in the United States.美国美洲钝眼蜱分布范围的扩大以及斑点热群立克次体病流行病学的同步变化
Am J Trop Med Hyg. 2016 Jan;94(1):35-42. doi: 10.4269/ajtmh.15-0580. Epub 2015 Oct 26.
2
Rickettsia parkeri Transmission to Amblyomma americanum by Cofeeding with Amblyomma maculatum (Acari: Ixodidae) and Potential for Spillover.通过与美洲钝眼蜱(蜱螨亚纲:硬蜱科)共同取食将帕克立克次体传播给美洲花蜱及其溢出传播的可能性
J Med Entomol. 2015 Sep;52(5):1090-5. doi: 10.1093/jme/tjv086. Epub 2015 Jun 30.
3
Experimental vertical transmission of Rickettsia parkeri in the Gulf Coast tick, Amblyomma maculatum.帕克立克次体在海湾沿岸蜱虫(美洲钝眼蜱)中的实验性垂直传播
Ticks Tick Borne Dis. 2015 Jul;6(5):568-73. doi: 10.1016/j.ttbdis.2015.04.011. Epub 2015 Apr 29.
4
Borrelia burgdorferi promotes the establishment of Babesia microti in the northeastern United States.伯氏疏螺旋体促进微小巴贝斯虫在美国东北部的定殖。
PLoS One. 2014 Dec 29;9(12):e115494. doi: 10.1371/journal.pone.0115494. eCollection 2014.
5
Ehrlichia and spotted fever group Rickettsiae surveillance in Amblyomma americanum in Virginia through use of a novel six-plex real-time PCR assay.通过使用一种新型的六重实时聚合酶链反应检测方法,对弗吉尼亚州美洲钝眼蜱中的埃立克体和斑点热群立克次氏体进行监测。
Vector Borne Zoonotic Dis. 2014 May;14(5):307-16. doi: 10.1089/vbz.2013.1509. Epub 2014 Apr 18.
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Ticks and spotted fever group rickettsiae of southeastern Virginia.弗吉尼亚州东南部的蜱虫与斑点热群立克次体
Ticks Tick Borne Dis. 2014 Feb;5(1):53-7. doi: 10.1016/j.ttbdis.2013.09.001. Epub 2013 Nov 5.
7
Influence of vectors' risk-spreading strategies and environmental stochasticity on the epidemiology and evolution of vector-borne diseases: the example of Chagas' disease.向量风险分散策略和环境随机性对虫媒病流行病学和进化的影响:以恰加斯病为例。
PLoS One. 2013 Aug 8;8(8):e70830. doi: 10.1371/journal.pone.0070830. eCollection 2013.
8
Beyond Lyme: aetiology of tick-borne human diseases with emphasis on the south-eastern United States.超越莱姆病:以美国东南部为例的蜱传人类疾病病因学。
Zoonoses Public Health. 2012 Sep;59 Suppl 2:48-64. doi: 10.1111/j.1863-2378.2012.01475.x.
9
The role of adaptations in two-strain competition for sylvatic Trypanosoma cruzi transmission.适应在森林型 Trypanosoma cruzi 传播的两株竞争中的作用。
J Biol Dyn. 2012;6:813-35. doi: 10.1080/17513758.2012.710339.
10
High rates of Rickettsia parkeri infection in Gulf Coast ticks (Amblyomma maculatum) and identification of "Candidatus Rickettsia andeanae" from Fairfax County, Virginia.高比例的帕克氏立克次体感染海湾岸革蜱(美洲钝眼蜱)和弗吉尼亚州费尔法克斯县“候选安第斯立克次体”的鉴定。
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单个蜱虫种群中两种病原体的动态变化。

Dynamics of two pathogens in a single tick population.

作者信息

White Alexis, Schaefer Elsa, Thompson Chelsea Wright, Kribs Christopher M, Gaff Holly

机构信息

Department of Biological Sciences, Old Dominion University, Norfolk, Virginia, USA.

Department of Mathematics, Marymount University, Arlington, Virginia, USA.

出版信息

Lett Biomath. 2019;6(1):50-66. doi: 10.1080/23737867.2019.1682473.

DOI:10.1080/23737867.2019.1682473
PMID:33015353
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7531760/
Abstract

A mathematical model for a two-pathogen, one-tick, one-host system is presented and explored. The model system is based on the dynamics of , , and . The goal of this model is to determine how long an invading pathogen, , persists within a tick population, , in which a resident pathogen, , is already established. The numerical simulations of the model demonstrate the parameter ranges that allow for coexistence of the two pathogens. Sensitivity analysis highlights the importance of vector-borne, tick-to-host, transmission rates on the invasion reproductive number and persistence of the pathogens over time. The model is then applied to a case study based on a reclaimed swampland field site in south-eastern Virginia using field and laboratory data. The results pinpoint the thresholds required for persistence of both pathogens in the local tick population. However, , is not predicted to persist beyond 3 years. Understanding the persistence and coexistence of tick-borne pathogens will allow public health officials increased insight into tick-borne disease dynamics.

摘要

本文提出并探讨了一个双病原体、单蜱、单宿主系统的数学模型。该模型系统基于[具体物质1]、[具体物质2]和[具体物质3]的动力学。此模型的目标是确定入侵病原体[病原体1]在已存在常驻病原体[病原体2]的蜱虫种群[蜱虫种群名称]中持续存在的时间。该模型的数值模拟展示了两种病原体共存所需的参数范围。敏感性分析突出了媒介传播、蜱到宿主的传播率对入侵繁殖数以及病原体随时间持续存在的重要性。然后,利用实地和实验室数据将该模型应用于弗吉尼亚州东南部一个开垦的沼泽地现场的案例研究。结果确定了两种病原体在当地蜱虫种群中持续存在所需的阈值。然而,[病原体1]预计不会持续超过3年。了解蜱传病原体的持续存在和共存情况将使公共卫生官员对蜱传疾病动态有更深入的了解。