Evidence map›Paper›PMID 30478760›Full record

ArticleJournal of mathematical biology2019

How ticks keep ticking in the adversity of host immune reactions.

Rachel Jennings, Yang Kuang, Horst R Thieme, Jianhong Wu, Xiaotian Wu

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Article in Journal of mathematical biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Rachel JenningsSavvysherpa, 5995 Opus Pkwy, Minnetonka, MN, 55343, USA.
Yang KuangSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287-1804, USA.
Horst R ThiemeSchool of Mathematical and Statistical Sciences, Arizona State University, Tempe, AZ, 85287-1804, USA. hthieme@asu.edu.
Jianhong WuDepartment of Mathematics and Statistics, York University, Toronto, ON, M3J1P3, Canada.
Xiaotian WuDepartment of Mathematics, Shanghai Maritime University, Shanghai, 201306, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ixodid ticks are acknowledged as one of the most important hematophagous arthropods because of their ability in transmitting a variety of tick-borne diseases. Mathematical models have been developed, based on emerging knowledge about tick ecology, pathogen epidemiology and their interface, to understand tick population dynamics and tick-borne diseases spread patterns. However, no serious effort has been made to model and assess the impact of host immunity triggered by tick feeding on the distribution of the tick population according to tick stages and on tick population extinction and persistence. Here, we construct a novel mathematical model taking into account the effect of host immunity status on tick population dynamics, and analyze the long-term behaviours of the model solutions. Two threshold values, [Formula: see text] and [Formula: see text], are introduced to measure the reproduction ratios for the tick-host interaction in the absence and presence of host immunity. We then show that these two thresholds (sometimes under additional conditions) can be used to predict whether the tick population goes extinct ([Formula: see text]) and the tick population grows without bound ([Formula: see text]). We also prove tick permanence (persistence and boundedness of the tick population) and the existence of a tick persistence equilibrium if [Formula: see text]. As the host species adjust their immunity to tick infestation levels, they form for the tick population an environment with a carrying capacity very much like that in logistic growth. Numerical results show that the host immune reactions decrease the size of the tick population at equilibrium and apparently reduce the tick-borne infection risk.

Indexed as

Models, ImmunologicalAnimalsArachnid VectorsHost-Pathogen InteractionsHumansLyme DiseaseMathematical ConceptsPopulation DynamicsTick-Borne DiseasesTick InfestationsTicksBasic reproduction ratiosExtinctionGlobal stabilityHost resistancePersistenceQuasi-steady-state approximation

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.