Evidence map›Paper›PMID 24082399›Full record

ArticleCanadian journal of veterinary research = Revue canadienne de recherche veterinaire2013

A method to quantify infectious airborne pathogens at concentrations below the threshold of quantification by culture.

Timothy D Cutler, Chong Wang, Steven J Hoff, Jeffrey J Zimmerman

Open access · greenAbstract read
In one paragraph

Article in Canadian journal of veterinary research = Revue canadienne de recherche veterinaire, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact, top 95% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. 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

4 authors at 1 institution in 1 country.

Timothy D CutlerDepartment of Veterinary Diagnostic and Production Animal Medicine, College of Veterinary Medicine, Iowa State University 50011-1250, USA (Cutler, Wang, Zimmerman); Department of Agricultural and Biosystems Engineering, College of Agriculture and Life Sciences, Iowa State University, Ames, Iowa 50011-1250, USA (Hoff); Department of Statistics, College of Liberal Arts and Sciences, Iowa State University, Ames, Iowa 50011-1210, USA (Wang).
Chong Wang
Steven J Hoff
Jeffrey J Zimmerman
Iowa State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In aerobiology, dose-response studies are used to estimate the risk of infection to a susceptible host presented by exposure to a specific dose of an airborne pathogen. In the research setting, host- and pathogen-specific factors that affect the dose-response continuum can be accounted for by experimental design, but the requirement to precisely determine the dose of infectious pathogen to which the host was exposed is often challenging. By definition, quantification of viable airborne pathogens is based on the culture of micro-organisms, but some airborne pathogens are transmissible at concentrations below the threshold of quantification by culture. In this paper we present an approach to the calculation of exposure dose at microbiologically unquantifiable levels using an application of the "continuous-stirred tank reactor (CSTR) model" and the validation of this approach using rhodamine B dye as a surrogate for aerosolized microbial pathogens in a dynamic aerosol toroid (DAT).

Indexed as

Air MicrobiologyResearch DesignAerosolsAnimalsBacteriological TechniquesFluorescent DyesInhalation ExposureModels, BiologicalReproducibility of ResultsRhodaminesAerosolsFluorescent Dyesrhodamine BRhodamines

Identifiers

PMID24082399
PMCPMC3605936
OpenAlexW1710301119

What OpenQuestion holds

Textmetadata
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.