Evidence map›Paper›PMID 27479653›Full record

ReviewAnnals of the New York Academy of Sciences2016

Preparedness and response to chemical and biological threats: the role of exposure science.

Paul J Lioy, Jeffrey D Laskin, Panos G Georgopoulos

Abstract readReview
In one paragraph

Review in Annals of the New York Academy of Sciences, 2016. 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. Review
  2. Article
  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

3 authors.

Paul J LioyEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, New Jersey.
Jeffrey D LaskinEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, New Jersey.
Panos G GeorgopoulosEnvironmental and Occupational Health Sciences Institute (EOHSI), Rutgers University, Piscataway, New Jersey. panosg@ccl.rutgers.edu.

Funding

UMDNJ/Rutgers University CounterACT Research Center of ExcellenceU54AR055073 · NIAMS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI HECK, DIANE E · 2006 to 2024
$71.4M
Translational Research Support CoreP30ES005022 · NIEHS · UNIV OF MED/DENT NJ-R W JOHNSON MED SCH · PI ROBERT John LAUMBACH · 1988 to 2026
$47.4M
Developing Drugs to Mitigate Parathion IntoxicationU01NS079249 · NINDS · RBHS-SCHOOL OF PUBLIC HEALTH · PI LASKIN, JEFFREY D, RICHARDSON, JASON R · 2013 to 2017
$4.0M
NIAMS NIH HHS U54 AR055073NIEHS NIH HHS P30 ES005022NINDS NIH HHS U01 NS079249
6 · The paper itself

Abstract

There are multiple components to emergency preparedness and the response to chemical and biological threat agents. The 5Rs framework (rescue, reentry, recovery, restoration, and rehabitation) outlines opportunities to apply exposure science in emergency events. Exposure science provides guidance and refined tools for characterizing, assessing, and reducing risks from catastrophic events, such as the release of hazardous airborne chemicals or biological agents. Important challenges to be met include deployment of assets, including medications, before and after an emergency response situation. Assessment of past studies demonstrates the value of integrating exposure science methods into risk analysis and the management of catastrophic events.

Indexed as

Biological Warfare AgentsChemical Warfare AgentsCivil DefenseDisaster PlanningHumansRisk AssessmentTerrorismWar ExposureBiological Warfare AgentsChemical Warfare Agentsairborne chemical and biological agentsanthraxemergency preparednessexposure modelinghazardous releasespopulation exposures

Identifiers

PMID27479653
PMCPMC5239671

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.