Evidence map›Paper›PMID 29634745›Full record

ArticlePloS one2018

Spatial clustering of Borrelia burgdorferi sensu lato within populations of Allen's chipmunks and dusky-footed woodrats in northwestern California.

Gregory M Hacker, Richard N Brown, Natalia Fedorova, Yvette A Girard, Mark Higley, Bernadette Clueit, Robert S Lane

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2018. 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
0.9field-weighted citation impact, top 32% 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

5 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Tick-borne zoonotic flaviviruses andOne health (Amsterdam, Netherlands) · 2024
    Review
  3. 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 at 2 institutions in 1 country.

Gregory M HackerDepartment of Natural Resources, Humboldt State University, Arcata, California, United States of America.ORCID 0000-0001-8925-643X
Richard N BrownDepartment of Natural Resources, Humboldt State University, Arcata, California, United States of America.
Natalia FedorovaDepartment of Environmental Science, Policy and Management, University of California, Berkeley, California, United States of America.
Yvette A GirardDepartment of Environmental Science, Policy and Management, University of California, Berkeley, California, United States of America.
Mark HigleyHoopa Tribal Forestry, Hoopa Valley Tribal Reservation, Hoopa, California, United States of America.
Bernadette ClueitDepartment of Natural Resources, Humboldt State University, Arcata, California, United States of America.
Robert S LaneDepartment of Environmental Science, Policy and Management, University of California, Berkeley, California, United States of America.
Cal Poly Humboldt · USUniversity of California, Berkeley · US

Funding

LYME DISEASE IN WESTERN USA: ECOLOGY AND EPIDEMIOLOGYR01AI022501 · NIAID · UNIVERSITY OF CALIFORNIA BERKELEY · PI LANE, ROBERT SIDNEY · 1985 to 2008
$3.0M
NIAID NIH HHS R01 AI022501NIH HHS AI22501
6 · The paper itself

Abstract

The ecology of Lyme borreliosis is complex in northwestern California, with several potential reservoir hosts, tick vectors, and genospecies of Borrelia burgdorferi sensu lato. The primary objective of this study was to determine the fine-scale spatial distribution of different genospecies in four rodent species, the California ground squirrel (Otospermophilus beecheyi), northern flying squirrel (Glaucomys sabrinus), dusky-footed woodrat (Neotoma fuscipes), and Allen's chipmunk (Neotamias senex). Rodents were live-trapped between June 2004 and May 2005 at the Hoopa Valley Tribal Reservation (HVTR) in Humboldt County, California. Ear-punch biopsies obtained from each rodent were tested by polymerase chain reaction (PCR) and sequencing analysis. The programs ArcGIS and SaTScan were used to examine the spatial distribution of genospecies. Multinomial log-linear models were used to model habitat and host-specific characteristics and their effect on the presence of each borrelial genospecies. The Akaike information criterion (AICc) was used to compare models and determine model fit. Borrelia burgdorferi sensu stricto was primarily associated with chipmunks and B. bissettiae largely with woodrats. The top model included the variables "host species", "month", and "elevation" (weight = 0.84). Spatial clustering of B. bissettiae was detected in the northwestern section of the HVTR, whereas B. burgdorferi sensu stricto was clustered in the southeastern section. We conclude that the spatial distribution of these borreliae are driven at least in part by host species, time-of-year, and elevation.

Indexed as

Spatial AnalysisAnimalsArvicolinaeBorrelia burgdorferiEcosystemHost SpecificitySciuridae

Identifiers

PMID29634745
PMCPMC5892934
OpenAlexW2796735764

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.