Evidence map›Paper›PMID 39492847›Full record

ArticleAerosol science and technology : the journal of the American Association for Aerosol Research2024

Concentrating viable airborne pathogens using a virtual impactor with a compact water-based condensation air sampler.

William B Vass, Sripriya Nannu Shankar, John A Lednicky, Morteza Alipanah, Braden Stump, Patricia Keady, Z Hugh Fan, Chang-Yu Wu

Abstract read
In one paragraph

Article in Aerosol science and technology : the journal of the American Association for Aerosol Research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Advancing transcriptomic profiling of airborne bacteria.Applied and environmental microbiology · 2025
    Review
  3. 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

8 authors.

William B VassDepartment of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.
Sripriya Nannu ShankarDepartment of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.
John A LednickyDepartment of Environmental and Global Health, University of Florida, Gainesville, Florida, USA.
Morteza AlipanahDepartment of Mechanical & Aerospace Engineering, University of Florida, Gainesville, Florida, USA.
Braden StumpAerosol Devices Inc., Fort Collins, Colorado, USA.
Patricia KeadyAerosol Devices Inc., Fort Collins, Colorado, USA.
Z Hugh FanDepartment of Mechanical & Aerospace Engineering, University of Florida, Gainesville, Florida, USA.
Chang-Yu WuDepartment of Environmental Engineering Sciences, University of Florida, Gainesville, Florida, USA.

Funding

Using social networks to map and evaluate team science across CTSA hubsUL1TR001427 · NCATS · UNIVERSITY OF FLORIDA · PI MITCHELL, DUANE A. · 2015 to 2024
$37.2M
Together: Transforming and Translating Discovery to Improve HealthTL1TR001428 · NCATS · UNIVERSITY OF FLORIDA · PI MCCORMACK, WAYNE T. · 2015 to 2023
$3.9M
NCATS NIH HHS TL1 TR001428NCATS NIH HHS UL1 TR001427
6 · The paper itself

Abstract

Pathogens can be collected from air and detected in samples by many methods. However, merely detecting pathogens does not answer whether they can spread disease. To fully assess health risks from exposure to airborne pathogens, the infectivity of those agents must be assessed. Air samplers which operate by growing particles through water vapor condensation and subsequently collecting them into a liquid medium have proven effective at conserving the viability of microorganisms. We present a study that assessed performance improvement of one such sampler, BioSpot-GEM

Identifiers

PMID39492847
PMCPMC11530212

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.