Evidence map›Paper›PMID 39530033›Full record

ArticleEcology and evolution2024

Integrating Systematic Surveys With Historical Data to Model the Distribution of

Sebastian Botero-Cañola, Carson Torhorst, Nicholas Canino, Lorenza Beati, Kathleen C O'Hara, Angela M James, Samantha M Wisely

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Ecology and evolution, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Range Modeling and Surveillance ofEcology and evolution · 2025
    Article
  4. Article
  5. 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

7 authors.

Sebastian Botero-CañolaDepartment of Wildlife Ecology and Conservation University of Florida Gainesville Florida USA.
Carson TorhorstDepartment of Wildlife Ecology and Conservation University of Florida Gainesville Florida USA.
Nicholas CaninoDepartment of Wildlife Ecology and Conservation University of Florida Gainesville Florida USA.
Lorenza BeatiUS National Tick Collection, Institute for Coastal Plain Science Georgia Southern University Statesboro Georgia USA.
Kathleen C O'HaraUSDA, Animal and Plant Health Inspection Service (APHIS), Veterinary Services (VS) Center for Epidemiology and Animal Health (CEAH) Ft. Collins Colorado USA.
Angela M JamesUSDA, Animal and Plant Health Inspection Service (APHIS), Veterinary Services (VS) Center for Epidemiology and Animal Health (CEAH) Ft. Collins Colorado USA.
Samantha M WiselyDepartment of Wildlife Ecology and Conservation University of Florida Gainesville Florida USA.ORCID https://orcid.org/0000-0003-1748-4518

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Globally, vector-borne diseases are increasing in distribution and frequency, affecting humans, domestic animals, and wildlife. Science-based management and prevention of these diseases requires a sound understanding of the distribution and environmental requirements of the vectors and hosts involved in disease transmission. Integrated Species Distribution Models (ISDM) account for diverse data types through hierarchical modeling and represent a significant advancement in species distribution modeling. We assessed the distribution of the soft tick subspecies

Indexed as

African swine fever virusgopher tortoiseGopherus polyfemussoft tickspatial distribution modeltransboundary animal diseasesvector ecology

Identifiers

PMID39530033
PMCPMC11554405

What OpenQuestion holds

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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.