Estimating the distribution of

Catherine A Lippi, Samuel Canfield, Christina Espada, Holly D Gaff, Sadie J Ryan

Abstract read

In one paragraph

Article in Ecosphere (Washington, D.C), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Catherine A LippiDepartment of Geography and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-7988-0324

Samuel CanfieldDepartment of Geography and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.

Christina EspadaDepartment of Biology, Old Dominion University, Norfolk, Virginia, USA.

Holly D GaffDepartment of Biology, Old Dominion University, Norfolk, Virginia, USA.ORCID 0000-0002-4034-2684

Sadie J RyanDepartment of Geography and Emerging Pathogens Institute, University of Florida, Gainesville, Florida, USA.ORCID 0000-0002-4308-6321

Funding

Spatial eco-epidemiology of tick-borne rickettisal pathogens R01AI136035 · NIAID · OLD DOMINION UNIVERSITY · PI GAFF, HOLLY · 2017 to 2021

$2.4M

NCEZID CDC HHS U01 CK000510NIAID NIH HHS R01 AI136035

6 · The paper itself

Abstract

Increasingly, geographic approaches to assessing the risk of tick-borne diseases are being used to inform public health decision-making and surveillance efforts. The distributions of key tick species of medical importance are often modeled as a function of environmental factors, using niche modeling approaches to capture habitat suitability. However, this is often disconnected from the potential distribution of key host species, which may play an important role in the actual transmission cycle and risk potential in expanding tick-borne disease risk. Using species distribution modeling, we explore the potential geographic range of

Indexed as

Amblyomma maculatumOryzomysrickettsiaspecies distribution modeltick-borne diseases

Identifiers

PMID39211416

DOI10.1002/ecs2.4445

PMCPMC11359945

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.