Evidence map›Paper›PMID 22518171›Full record

ArticleJournal of tropical medicine2012

Species distribution models and ecological suitability analysis for potential tick vectors of lyme disease in Mexico.

Patricia Illoldi-Rangel, Chissa-Louise Rivaldi, Blake Sissel, Rebecca Trout Fryxell, Guadalupe Gordillo-Pérez, Angel Rodríguez-Moreno, Phillip Williamson, Griselda Montiel-Parra, Víctor Sánchez-Cordero, Sahotra Sarkar

Abstract read
In one paragraph

Article in Journal of tropical medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
–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

19 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Morphometrics ofPathogens (Basel, Switzerland) · 2021
    Article
  6. Review
  7. Article
  8. Ecological Niche Models of Four Hard Tick Genera (Ixodidae) in Mexico.Animals : an open access journal from MDPI · 2020
    Article
  9. Review
  10. Article
  11. Article
  12. Seroprevalence of Borrelia burgdorferi antibodies in white-tailed deer from Texas.International journal for parasitology. Parasites and wildlife · 2016
    Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. 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

10 authors.

Patricia Illoldi-RangelSection of Integrative Biology, University of Texas at Austin, Austin, TX 78712, USA.
Chissa-Louise Rivaldi
Blake Sissel
Rebecca Trout Fryxell
Guadalupe Gordillo-Pérez
Angel Rodríguez-Moreno
Phillip Williamson
Griselda Montiel-Parra
Víctor Sánchez-Cordero
Sahotra Sarkar

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Species distribution models were constructed for ten Ixodes species and Amblyomma cajennense for a region including Mexico and Texas. The model was based on a maximum entropy algorithm that used environmental layers to predict the relative probability of presence for each taxon. For Mexico, species geographic ranges were predicted by restricting the models to cells which have a higher probability than the lowest probability of the cells in which a presence record was located. There was spatial nonconcordance between the distributions of Amblyomma cajennense and the Ixodes group with the former restricted to lowlands and mainly the eastern coast of Mexico and the latter to montane regions with lower temperature. The risk of Lyme disease is, therefore, mainly present in the highlands where some Ixodes species are known vectors; if Amblyomma cajennense turns out to be a competent vector, the area of risk also extends to the lowlands and the east coast.

Identifiers

PMID22518171
PMCPMC3307011

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.