Evidence map›Paper›PMID 35535139›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2022

Resilience in emergency management: Learning from COVID-19 in oil and gas platforms.

R Cantelmi, R Steen, G Di Gravio, R Patriarca

Open access · greenAbstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 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
5.9field-weighted citation impact, top 3% of its field
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, 36 citations in OpenAlex.

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 at 3 institutions in 2 countries.

R CantelmiDept. of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy.
R SteenBI Norwegian Business School, Stavanger, Norway.
G Di GravioDept. of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy.
R PatriarcaDept. of Mechanical and Aerospace Engineering, Sapienza University of Rome, Rome, Italy.
Sapienza University of Rome · ITBI Norwegian Business School · NOMinistry of Defence · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emergency management, both in civilian and military context, is regarded as a complex socio-technical system, whose dynamic nature and complexity require a holistic approach. Over time, scholars developed diverse strategies and methods to capture such complexity and effectively design emergency plans for more or less severe disasters scenarios. Nonetheless, planning is not always an omni-comprehensive task, pushing organizations to stretch their adaptive capacities in dynamic and challenging settings. This manuscript explores such adaptive capacity as put in place by a leading Norwegian organization in providing emergency management solutions, facing unexpected challenges (at the time of the event): handling of Covid-19 infection episodes on offshore oil platforms. The study, conducted through the Functional Resonance Analysis Method (FRAM) highlights the relevance of organizational learning which allows to handle emergencies by adapting plans to the specific context and by renewing new emergency management procedures derived from lessons learned. The study focuses on three different Covid-19 infection management cases to understand the nuances of actions and emerging adaptations that led to the development of a revised emergency plan, seen again through the lens of FRAM. While the methodological approach refers to Covid-19 infection management, we believe it can be extended into larger crisis management, providing a use case for the applicability of FRAM into emergency management scenarios.

Indexed as

Covid emergencyCrisis managementDisaster managementOil rigOrganizational resilienceResilience engineering

Identifiers

PMID35535139
PMCPMC9068239
OpenAlexW4229071674

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.