Evidence map›Paper›PMID 31765384›Full record

ArticlePloS one2019

Dispersion of Legionella bacteria in atmosphere: A practical source location estimation method.

Steven Dyke, Iain Barrass, Kevin Pollock, Ian M Hall

Abstract read
In one paragraph

Article in PloS one, 2019. 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

4 authors.

Steven DykeEmergency Response Department Science and Technology (ERD S&T), Public Health England, Porton Down, Wiltshire, United Kingdom, SP4 0JG.ORCID 0000-0002-2375-9998
Iain BarrassEmergency Response Department Science and Technology (ERD S&T), Public Health England, Porton Down, Wiltshire, United Kingdom, SP4 0JG.ORCID 0000-0002-6823-1900
Kevin PollockHealth Protection Scotland, Glasgow, United Kingdom.
Ian M HallEmergency Response Department Science and Technology (ERD S&T), Public Health England, Porton Down, Wiltshire, United Kingdom, SP4 0JG.

Funding

Department of Health
6 · The paper itself

Abstract

Legionnaires' disease, a form of pneumonia which can be fatal, is transmitted via the inhalation of water droplets containing Legionella bacteria. These droplets can be dispersed in the atmosphere several kilometers from their source. The most common such sources are contaminated water within cooling towers and other air-conditioning systems but other sources such as ornamental fountains and spa pools have also caused outbreaks of the disease in the past. There is an obvious need to locate and eliminate any such sources as quickly as possible. Here a maximum likelihood model estimating the source of an outbreak from case location data has been developed and implemented. Unlike previous models, the average dose exposure sub-model is formulated using a atmospheric dispersion model. How the uncertainty in inferred parameters can be estimated is discussed. The model is applied to the 2012 Edinburgh Legionnaires' disease outbreak.

Indexed as

Air MicrobiologyAir ConditioningAtmosphereComputer SimulationDisease OutbreaksHumansLegionella pneumophilaLegionnaires' DiseaseLikelihood FunctionsUnited Kingdom

Identifiers

PMID31765384
PMCPMC6876933

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.