Evidence map›Paper›PMID 36892680›Full record

ArticleBulletin of mathematical biology2023

The Impact of Host Abundance on the Epidemiology of Tick-Borne Infection.

Xander O'Neill, Andy White, Christian Gortázar, Francisco Ruiz-Fons

Open access · hybridAbstract read
In one paragraph

Article in Bulletin of mathematical biology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
7.0field-weighted citation impact, top 2% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed, 25 citations in OpenAlex.

  1. Article
  2. Molecular Detection of Tick-Borne Pathogens and Genetic Diversity ofAnimals : an open access journal from MDPI · 2026
    Article
  3. Review
  4. Article
  5. Range Modeling and Surveillance ofEcology and evolution · 2025
    Article
  6. Article
  7. International journal for parasitology. Parasites and wildlife · 2025
    Article
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 2 institutions in 2 countries.

Xander O'NeillMaxwell Institute for Mathematical Sciences and Department of Mathematics, Heriot-Watt University, Edinburgh, EH14 4AS, UK. x.o'neill@hw.ac.uk.ORCID http://orcid.org/0000-0002-9434-1580
Andy WhiteMaxwell Institute for Mathematical Sciences and Department of Mathematics, Heriot-Watt University, Edinburgh, EH14 4AS, UK.
Christian GortázarSaBio, Instituto de Investigación en Recursos Cinegéticos IREC (UCLM & CSIC), 13005, Ciudad Real, Spain.
Francisco Ruiz-FonsSaBio, Instituto de Investigación en Recursos Cinegéticos IREC (UCLM & CSIC), 13005, Ciudad Real, Spain.
Heriot-Watt University · GBInstituto de Investigación en Recursos Cinegéticos · ES

Funding

Agencia Estatal de Investigación CGL2017-898666-RBiotechnology and Biological Sciences Research Council BB/V00378X/1Universidad de Castilla-La Mancha SBPLY/19/180501/000321
6 · The paper itself

Abstract

Tick-borne diseases are an increasing global public health concern due to an expanding geographical range and increase in abundance of tick-borne infectious agents. A potential explanation for the rising impact of tick-borne diseases is an increase in tick abundance which may be linked to an increase in density of the hosts on which they feed. In this study, we develop a model framework to understand the link between host density, tick demography and tick-borne pathogen epidemiology. Our model links the development of specific tick stages to the specific hosts on which they feed. We show that host community composition and host density have an impact on tick population dynamics and that this has a consequent impact on host and tick epidemiological dynamics. A key result is that our model framework can exhibit variation in host infection prevalence for a fixed density of one host type due to changes in density of other host types that support different tick life stages. Our findings suggest that host community composition may play a crucial role in explaining the variation in prevalence of tick-borne infections in hosts observed in the field.

Indexed as

IxodesTick-Borne DiseasesAnimalsHumansMathematical ConceptsModels, BiologicalMathematical modellingTick-borne pathogensTick-host modelsZoonotic spillover

Identifiers

PMID36892680
PMCPMC9998325
OpenAlexW4323652114

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.