Evidence map›Paper›PMID 24533343›Full record

ArticleInternational journal for parasitology. Parasites and wildlife2013

Using occupancy models to investigate the prevalence of ectoparasitic vectors on hosts: An example with fleas on prairie dogs.

David A Eads, Dean E Biggins, Paul F Doherty, Kenneth L Gage, Kathryn P Huyvaert, Dustin H Long, Michael F Antolin

Open access · goldAbstract read
In one paragraph

Article in International journal for parasitology. Parasites and wildlife, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

11 citing papers in PubMed, 40 citations in OpenAlex.

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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 3 institutions in 1 country.

David A EadsGraduate Degree Program in Ecology, Colorado State University, CO 80523, USA ; Department of Biology, Colorado State University, Fort Collins, CO 80523, USA.
Dean E BigginsU. S. Geological Survey, Fort Collins Science Center, Fort Collins, CO 80526, USA.
Paul F DohertyGraduate Degree Program in Ecology, Colorado State University, CO 80523, USA ; Department of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, CO 80523, USA.
Kenneth L GageBacterial Diseases Branch, Division of Vector-Borne Infectious Diseases, National Center for Infectious Diseases, Centers for Disease Control and Prevention, Fort Collins, CO, USA.
Kathryn P HuyvaertGraduate Degree Program in Ecology, Colorado State University, CO 80523, USA ; Department of Fish, Wildlife and Conservation Biology, Colorado State University, Fort Collins, CO 80523, USA.
Dustin H LongTurner Endangered Species Fund, PO Box 131, Cimarron, NM 87714, USA.
Michael F AntolinGraduate Degree Program in Ecology, Colorado State University, CO 80523, USA ; Department of Biology, Colorado State University, Fort Collins, CO 80523, USA.
Colorado State University · USFort Collins Science CenterNational Center for Infectious Diseases · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Ectoparasites are often difficult to detect in the field. We developed a method that can be used with occupancy models to estimate the prevalence of ectoparasites on hosts, and to investigate factors that influence rates of ectoparasite occupancy while accounting for imperfect detection. We describe the approach using a study of fleas (Siphonaptera) on black-tailed prairie dogs (Cynomys ludovicianus). During each primary occasion (monthly trapping events), we combed a prairie dog three consecutive times to detect fleas (15 s/combing). We used robust design occupancy modeling to evaluate hypotheses for factors that might correlate with the occurrence of fleas on prairie dogs, and factors that might influence the rate at which prairie dogs are colonized by fleas. Our combing method was highly effective; dislodged fleas fell into a tub of water and could not escape, and there was an estimated 99.3% probability of detecting a flea on an occupied host when using three combings. While overall detection was high, the probability of detection was always <1.00 during each primary combing occasion, highlighting the importance of considering imperfect detection. The combing method (removal of fleas) caused a decline in detection during primary occasions, and we accounted for that decline to avoid inflated estimates of occupancy. Regarding prairie dogs, flea occupancy was heightened in old/natural colonies of prairie dogs, and on hosts that were in poor condition. Occupancy was initially low in plots with high densities of prairie dogs, but, as the study progressed, the rate of flea colonization increased in plots with high densities of prairie dogs in particular. Our methodology can be used to improve studies of ectoparasites, especially when the probability of detection is low. Moreover, the method can be modified to investigate the co-occurrence of ectoparasite species, and community level factors such as species richness and interspecific interactions.

Indexed as

DetectionEctoparasiteFleaOccupancyPrairie dogPrevalence

Identifiers

PMID24533343
PMCPMC3862499
OpenAlexW2120014789

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.