Evidence map›Paper›PMID 25432469›Full record

ArticleTheoretical biology & medical modelling2014

Impact of biodiversity and seasonality on Lyme-pathogen transmission.

Yijun Lou, Jianhong Wu, Xiaotian Wu

Open access · bronzeAbstract read
In one paragraph

Article in Theoretical biology & medical modelling, 2014. 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
1.7field-weighted citation impact, top 18% 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, 37 citations in OpenAlex.

  1. mBio · 2025
    Article
  2. Review
  3. Article
  4. An eco-epidemiological modeling approach to investigate dilution effect in two different tick-borne pathosystems.Ecological applications : a publication of the Ecological Society of America · 2022
    Article
  5. Article
  6. Article
  7. Article
  8. Epidemic Spread on One-Way Circular-Coupled Networks.Acta mathematica scientia = Shu xue wu li xue bao · 2019
    Article
  9. Article
  10. Population Genomics ofFrontiers in cellular and infection microbiology · 2018
    Article
  11. Modeling Lyme disease transmission.Infectious Disease Modelling · 2017
    Review
  12. Review
  13. Climate change, biodiversity, ticks and tick-borne diseases: The butterfly effect.International journal for parasitology. Parasites and wildlife · 2015
    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

3 authors at 2 institutions in 2 countries.

Yijun LouDepartment of Applied Mathematics, The Hong Kong Polytechnic University, Hung Hom, Kowloon, Hong Kong. yijun.lou@polyu.edu.hk.
Jianhong WuDepartment of Mathematics and Statistics, York University, Toronto, Ontario, M3J1P3, Canada. wujh@mathstat.yorku.ca.
Xiaotian WuCentre for Disease Modelling, York University, Toronto, Ontario, M3J1P3, Canada. xwu66@uwo.ca.
York University · CAHong Kong Polytechnic University · HK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lyme disease imposes increasing global public health challenges. To better understand the joint effects of seasonal temperature variation and host community composition on the pathogen transmission, a stage-structured periodic model is proposed by integrating seasonal tick development and activity, multiple host species and complex pathogen transmission routes between ticks and reservoirs. Two thresholds, one for tick population dynamics and the other for Lyme-pathogen transmission dynamics, are identified and shown to fully classify the long-term outcomes of the tick invasion and disease persistence. Seeding with the realistic parameters, the tick reproduction threshold and Lyme disease spread threshold are estimated to illustrate the joint effects of the climate change and host community diversity on the pattern of Lyme disease risk. It is shown that climate warming can amplify the disease risk and slightly change the seasonality of disease risk. Both the "dilution effect" and "amplification effect" are observed by feeding the model with different possible alternative hosts. Therefore, the relationship between the host community biodiversity and disease risk varies, calling for more accurate measurements on the local environment, both biotic and abiotic such as the temperature and the host community composition.

Indexed as

BiodiversitySeasonsAnimalsArachnid VectorsBorrelia burgdorferiClimate ChangeDisease ReservoirsLyme DiseaseTicks

Identifiers

PMID25432469
PMCPMC4396072
OpenAlexW2117875714

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.