Evidence map›Paper›PMID 33558791›Full record

ArticleSafety science2021

Analyzing National Responses to COVID-19 Pandemic using STPA.

Shufeng Chen, Siddartha Khastgir, Paul Jennings

Abstract read
In one paragraph

Article in Safety science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Shufeng ChenWMG, University of Warwick, UK.
Siddartha KhastgirWMG, University of Warwick, UK.
Paul JenningsWMG, University of Warwick, UK.

Funding

Medical Research Council MR/S035176/1
6 · The paper itself

Abstract

The unprecedented COVID-19 pandemic has affected most aspects of human life, including the ways in which organizations are operating. Minimizing the spread of coronavirus and its economic consequences, and creating a new and safe lifestyle has now become the common goals of governments all over the world. Although governments have responded to the COVID-19 pandemic by implementing various rules while interacting with relevant organizations to provide health service, vaccine research, and production of essential items, the complexities in the interactions between various stakeholders have proved to be challenging to have efficient and timely outputs. When different stakeholders (i.e. governments, organizations, and the public) are interacting with each other, a systems thinking process needs to be applied to capture the nuances of the interactions and the subsequent emergent behavior to effectively contribute to the system output (i.e. a safer way of life). This paper applied a system-thinking-inspired process called System Theoretic Process Analysis (STPA) to analyze the current response to the COVID-19 pandemic. The analysis treated various stakeholders as a part of the system, and it focused on the interactions among different stakeholders (i.e. functional blocks) within the system - i.e. 'Government', 'Foreign Governments', 'Organizations', and 'General Public', as well as the interactions with 'W.H.O'. The STPA analysis found 236 potential Unsafe Control Actions (UCAs) (or unsafe interactions) among the stakeholder interactions, each of the UCAs was then further analyzed. In total 1440 causal factors of the UCAs were identified, and 2880 requirements were proposed to avoid such unsafe interactions.

Indexed as

Hazard analysisSCOVID-19STPASystem thinking

Identifiers

PMID33558791
PMCPMC7859697

What OpenQuestion holds

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Registered trials

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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.