Evidence map›Paper›PMID 36761991›Full record

ArticleApplied biosafety : journal of the American Biological Safety Association2022

Engineering Controls and Technologies to Enhance Safety in the COVID-19 Pandemic Landscape: Lessons for Laboratories and Non-Laboratories.

Cory Ziegler, Chris Kiley, Gilles Tremblay, Ryan Gregory, Ryan N Burnette

Abstract read
In one paragraph

Article in Applied biosafety : journal of the American Biological Safety Association, 2022. 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

5 authors.

Cory ZieglerMerrick & Company, Atlanta, Georgia, USA.
Chris KileyMerrick & Company, Atlanta, Georgia, USA.
Gilles TremblayMerrick & Company, Kanata, Ontario, Canada.
Ryan GregoryMerrick & Company, Kanata, Ontario, Canada.
Ryan N BurnetteMerrick & Company, Arlington, Virginia, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The global SARS-CoV-2 pandemic ushered in a new way of life in a short time, with many lasting impacts that have yet to be fully realized. This pandemic threat landscape resulted in massive efforts to increase safety, minimize person-to-person transmission, and rethink how society approaches personal and collective health issues. The buildings and environments in which we live, work, and learn now became environments that pose new risks. As a result, many institutions began asking what improvements could be made to those environments to reduce the spread of infection of SARS-CoV-2 and other infectious diseases. Methods: The authors conducted a review of past projects and emerging technologies to evaluate which applications in containment laboratories could represent an example of how engineering controls can improve safety by protecting the workers inside the laboratories as well as the public interfacing the laboratories. Discussion: Engineering controls, technology, and safety systems are hallmarks of modern containment laboratories that may provide some context into extrapolating these elements into non-laboratory environments, providing there is coordination with a risk assessment methodology. In this study, the authors explore new technologies proposed for controlling SARS-CoV-2 in heating, ventilation, and air conditioning systems, and potential impacts to the operations and maintenance of those systems.

Indexed as

disinfectionengineeringfacility designHVACrisk assessment

Identifiers

PMID36761991
PMCPMC9902040

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.