Evidence map›Paper›PMID 33842204›Full record

ArticleInternational journal of disaster risk reduction : IJDRR2021

Evaluating simulations as preparation for health crises like CoVID-19: Insights on incorporating simulation exercises for effective response.

Karen Reddin, Henry Bang, Lee Miles

Abstract read
In one paragraph

Article in International journal of disaster risk reduction : IJDRR, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

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  11. Research Progress and Improvement Ideas of Anti-Epidemic Resilience in China's Urban Communities.International journal of environmental research and public health · 2022
    Review
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.

Karen ReddinBournemouth University Disaster Management Centre, Bournemouth University Business School, DG14, Dorset House, Talbot Campus, Fern Barrow, Poole, BH12 5BB, UK.
Henry BangBournemouth University Disaster Management Centre, Bournemouth University Business School, DG14, Dorset House, Talbot Campus, Fern Barrow, Poole, BH12 5BB, UK.
Lee MilesBournemouth University Disaster Management Centre, Bournemouth University Business School, DG14, Dorset House, Talbot Campus, Fern Barrow, Poole, BH12 5BB, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Today's health emergencies are increasingly complex due to factors such as globalization, urbanization and increased connectivity where people, goods and potential vectors of disease are constantly on the move. These factors amplify the threats to our health from infectious hazards, natural disasters, armed conflicts and other emergencies wherever they may occur. The current CoVID-19 pandemic has provided a clear demonstration of the fact that our ability to detect and predict the initial emergence of a novel human pathogen (for example, the spill-over of a virus from its animal reservoir to a human host), and our capacity to forecast the spread and transmission of the pathogen in human society remains limited. Improving ways in which we prepare will enable a more rapid and effective response and enable proactive preparations (including exercising) to respond to any novel emerging infectious disease outbreaks. This study aims to explore the current state of pandemic preparedness exercising and provides an assessment of a number of case study exercises for health hazards against the key components of the WHO's Exercises for Pandemic Preparedness Plans (EPPP) framework in order to gauge their usefulness in preparation for pandemics. The paper also examines past crises involving large-scale epidemics and pandemics and whether simulations took place to test health security capacities either in advance of the crisis based on risk assessments, strategy and plans or after the crisis in order to be better prepared should a similar scenario arise in the future. Exercises for animal and human diseases have been included to provide a "one health" perspective [1,2]. This article then goes on to examine approaches to simulation exercises relevant to prepare for a health crisis involving a novel emergent pathogen like CoVID-19. This article demonstrates that while simulations are useful as part of a preparedness strategy, the key is to ensure that lessons from these simulations are learned and the associated changes made as soon as possible following any simulation in order to ensure that simulations are effective in bringing about changes in practice that will improve pandemic preparedness. Furthermore, Artificial Intelligence (AI) technologies could also be applied in preparing communities for outbreak detection, surveillance and containment, and be a useful tool for providing immersive environments for simulation exercises for pandemic preparedness and associated interventions which may be particularly useful at the strategic level. This article contributes to the limited literature in pandemic preparedness simulation exercising to deal with novel health crises, like CoVID-19. The analysis has also identified potential areas for further research or work on pandemic preparedness exercising.

Indexed as

Emergency exerciseEpidemicLessons learntPandemicSimulation

Identifiers

PMID33842204
PMCPMC8020603

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.