Evidence map›Paper›PMID 30679711›Full record

ArticleScientific reports2019

Potential Spatial Distribution of the Newly Introduced Long-horned Tick, Haemaphysalis longicornis in North America.

R K Raghavan, S C Barker, M E Cobos, D Barker, E J M Teo, D H Foley, R Nakao, K Lawrence, A C G Heath, A T Peterson

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

74 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Why are the ticks winning, and what can we do about it?Ticks and tick-borne diseases · 2026
    Review
  6. Article
  7. Article
  8. TITAN-RNA: A hybrid-capture sequencing panel detects known and unknownbioRxiv : the preprint server for biology · 2025
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. Article

14 more citing papers are in PubMed but not listed here.

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

10 authors.

R K RaghavanDepartment of Diagnostic Medicine & Pathobiology, College of Veterinary Medicine, Kansas State University, Manhattan, 66506, Kansas, USA. rkraghavan@vet.k-state.edu.
S C BarkerDepartment of Parasitology, School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD, 4072, Australia.
M E CobosDepartment of Ecology and Evolutionary Biology and Biodiversity Institute, College of Liberal Arts and Sciences, University of Kansas, Lawrence, 66045, Kansas, USA.ORCID 0000-0002-2611-1767
D BarkerSchool of Veterinary Science, The University of Queensland, Gatton, QLD, 4343, Australia.
E J M TeoDepartment of Parasitology, School of Chemistry and Molecular Biosciences, The University of Queensland, St. Lucia, QLD, 4072, Australia.
D H FoleyDivision of Entomology, Walter Reed Army Institute of Research, 503 Robert Grant Avenue, Silver Spring, Maryland, 20910, USA.
R NakaoDepartment of Disease Control, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo, 060-0818, Hokkaido, Japan.
K LawrenceSchool of Veterinary Science, Massey University, Palmerston North, 4442, New Zealand.
A C G HeathAgresearch Ltd., c/o Hopkirk Research Institute, Private Bag 11008, Palmerston North, 4442, New Zealand.
A T PetersonDepartment of Ecology and Evolutionary Biology and Biodiversity Institute, College of Liberal Arts and Sciences, University of Kansas, Lawrence, 66045, Kansas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The North American distributional potential of the recently invaded tick, Haemaphysalis longicornis, was estimated using occurrence data from its geographic range in other parts of the world and relevant climatic data sets. Several hundred candidate models were built using a correlative maximum entropy approach, and best-fitting models were selected based on statistical significance, predictive ability, and complexity. The median of the best-fitting models indicates a broad potential distribution for this species, but restricted to three sectors-the southeastern United States, the Pacific Northwest, and central and southern Mexico.

Indexed as

Animal DistributionIntroduced SpeciesTick InfestationsAnimalsIxodidaeNorth America

Identifiers

PMID30679711
PMCPMC6346113

What OpenQuestion holds

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LicenceCC BY
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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.