Evidence map›Paper›PMID 27482881›Full record

ArticleHealth security

A Role for Science in Responding to Health Crises.

Leremy A Colf, Reginald Brothers, Christina E Murata

Abstract read
In one paragraph

Article in Health security. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Shifting Geographies of Knowledge Production: The Coronavirus Effect.Tijdschrift voor economische en sociale geografie = Journal of economic and social geography = Revue de geographie economique et humaine = Zeitschrift fur okonomische und soziale Geographie = Revista de geografia economica y social · 2020
    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.

Leremy A Colf
Reginald Brothers
Christina E Murata

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Department of Homeland Security's (DHS) Science and Technology (S&T) Directorate plays a role in public health that extends beyond biodefense. These responsibilities were exercised as part of the 2014-16 Ebola outbreak, leading to productive and beneficial contributions to the international public health response and improved operations in the United States. However, we and others have identified numerous areas for improvement. Based on our successes and lessons learned, we propose a number of ways that DHS, the interagency, and academia can act now to ensure improved responses to future public health crises. These include pre-developing scientific capabilities to respond agnostically to threats, and disease-specific master question lists to organize and inform initial efforts. We are generating DHS-specific playbooks and tools for anticipating future needs and capturing requests from DHS components and our national and international partners, where efforts will also be used to refine and exercise communication and information-sharing practices. These experiences and improvement efforts have encouraged discussions on the role of science in developing government policy, specifically responding to public health crises. We propose specific considerations for both scientists and government decision makers to ensure that the best available science is incorporated into policy and operational decisions to facilitate highly effective responses to future health crises.

Indexed as

Disaster PlanningCommunicationDisease OutbreaksHemorrhagic Fever, EbolaHumansInformation DisseminationPolicy MakingPublic Health AdministrationUnited States

Identifiers

PMID27482881
PMCPMC4976254

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.