Evidence map›Paper›PMID 30459828›Full record

ReviewEvolutionary applications2018

Pathogens in space: Advancing understanding of pathogen dynamics and disease ecology through landscape genetics.

Christopher P Kozakiewicz, Christopher P Burridge, W Chris Funk, Sue VandeWoude, Meggan E Craft, Kevin R Crooks, Holly B Ernest, Nicholas M Fountain-Jones, Scott Carver

Open access · goldAbstract readReview
In one paragraph

Review in Evolutionary applications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
9.2field-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

29 citing papers in PubMed, 85 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Contrasting Patterns of Raccoon (Evolutionary applications · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Intergenomic signatures of coevolution between Tasmanian devils and an infectious cancer.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  12. Are rabid raccoons (Evolutionary applications · 2023
    Article
  13. Article
  14. Emergence of zoonoticVeterinary world · 2023
    Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

9 authors at 5 institutions in 2 countries.

Christopher P KozakiewiczSchool of Natural Sciences University of Tasmania Hobart Tasmania Australia.ORCID 0000-0002-4868-9252
Christopher P BurridgeSchool of Natural Sciences University of Tasmania Hobart Tasmania Australia.
W Chris FunkDepartment of Biology Graduate Degree Program in Ecology Colorado State University Fort Collins Colorado.
Sue VandeWoudeDepartment of Microbiology, Immunology, and Pathology Colorado State University Fort Collins Colorado.
Meggan E CraftDepartment of Veterinary Population Medicine University of Minnesota St. Paul Minnesota.
Kevin R CrooksDepartment of Fish, Wildlife, and Conservation Biology Colorado State University Fort Collins Colorado.
Holly B ErnestWildlife Genomics and Disease Ecology Laboratory Department of Veterinary Sciences University of Wyoming Laramie Wyoming.
Nicholas M Fountain-JonesDepartment of Veterinary Population Medicine University of Minnesota St. Paul Minnesota.
Scott CarverSchool of Natural Sciences University of Tasmania Hobart Tasmania Australia.
University of Tasmania · AUColorado State University · USUniversity of Minnesota · USColorado Parks and Wildlife · USUniversity of Wyoming · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Landscape genetics has provided many insights into how heterogeneous landscape features drive processes influencing spatial genetic variation in free-living organisms. This rapidly developing field has focused heavily on vertebrates, and expansion of this scope to the study of infectious diseases holds great potential for landscape geneticists and disease ecologists alike. The potential application of landscape genetics to infectious agents has garnered attention at formative stages in the development of landscape genetics, but systematic examination is lacking. We comprehensively review how landscape genetics is being used to better understand pathogen dynamics. We characterize the field and evaluate the types of questions addressed, approaches used and systems studied. We also review the now established landscape genetic methods and their realized and potential applications to disease ecology. Lastly, we identify emerging frontiers in the landscape genetic study of infectious agents, including recent phylogeographic approaches and frameworks for studying complex multihost and host-vector systems. Our review emphasizes the expanding utility of landscape genetic methods available for elucidating key pathogen dynamics (particularly transmission and spread) and also how landscape genetic studies of pathogens can provide insight into host population dynamics. Through this review, we convey how increasing awareness of the complementarity of landscape genetics and disease ecology among practitioners of each field promises to drive important cross-disciplinary advances.

Indexed as

disease ecologyinfectious diseaselandscape epidemiologylandscape geneticspathogen dynamics

Identifiers

PMID30459828
PMCPMC6231466
OpenAlexW2856267312

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.