Evidence map›Paper›PMID 29503803›Full record

ArticleOsong public health and research perspectives2018

Enhancing 'Whole-of-Government' Response to Biological Events in Korea: Able Response 2014.

Sangwoo Tak, Anton Jareb, Suon Choi, Marvin Sikes, Yeon Hwa Choi, Hyeong-Wook Boo

Abstract read
In one paragraph

Article in Osong public health and research perspectives, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Biodefence research two decades on: worth the investment?The Lancet. Infectious diseases · 2021
    Review
  4. A Joint Exercise against Intentional Biothreats.Osong public health and research perspectives · 2018
    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

6 authors.

Sangwoo TakJoint Program Executive Office for Chemical and Biological Defense, Department of Defense, Washington D.C., USA.
Anton JarebBattelle Memorial Institute, Columbus, Ohio, USA.
Suon ChoiKorea Institute of Defense Analyses, Seoul, Korea.
Marvin SikesJoint Program Executive Office for Chemical and Biological Defense, Department of Defense, Washington D.C., USA.
Yeon Hwa ChoiKorea Centers for Disease Control and Prevention, Cheongju, Korea.
Hyeong-Wook BooKorea Institute of Defense Analyses, Seoul, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since 2011, the Republic of Korea (ROK) and United States (U.S.) have been collaborating to conduct inter- and intra-governmental exercises to jointly respond to biological events in Korea. These exercises highlight U.S. interest in increasing its global biosurveillance capability and the ROK's interest in improving cooperation among ministries to respond to crises. With Able Response (AR) exercises, the ROK and U.S. have improved coordination among US and ROK government and defense agencies responding to potential bio-threats and identified additional areas on which to apply refinements in policies and practices. In 2014, the AR exercise employed a Biosurveillance Portal (BSP) to facilitate more effective communication among participating agencies and countries including Australia. In the present paper, we seek to provide a comprehensive assessment of the AR 2014 (AR14) exercise and make recommendations for future improvements. Incorporating a more realistic response in future scenarios by integrating a tactical response episode in the exercise is recommended.

Indexed as

biosurveillanceoutbreakspublic health

Identifiers

PMID29503803
PMCPMC5831680

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.