ArticleJournal of evaluation in clinical practice2025
Science for Pandemic Preparedness: A Precautionary Framework.
Article in Journal of evaluation in clinical practice, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
- Science for Pandemic Preparedness: A Precautionary Framework.Journal of evaluation in clinical practice · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the early weeks of the pandemic year 2020, health agencies were slow to warn of the potential for a global health emergency while scientists waited for 'sufficient' evidence of human-to-human transmission of the new coronavirus. There were further delays and confusion in issuing guidance because of uncertainty about the most important routes of exposure. A 2021 international expert panel review of COVID-19 pandemic response concluded: 'The bias of the current system of pandemic alert is towards inaction-steps may only be taken if the weight of evidence requires them. This bias should be reversed-precautionary action should be taken on a presumptive basis, unless evidence shows it is not necessary'. To implement this recommendation, health agencies should incorporate the concept of precaution into their methods for rapidly and transparently reaching policy decisions. In this article, we summarise the historical development of precautionary policy frameworks, and present 4 key components. First, take action if potential risks are large, even when the science is uncertain. This corresponds to the common sense idea of 'better safe than sorry'. Second, consider the burden of proof required before choosing among alternative actions. Third, ensure that the full range of potential solutions is considered by broadly defining the problem and consulting all relevant scientific fields. Finally, increase public participation so that all relevant perspectives are included, and the chances of public buy-in are increased. Drawing lessons from past applications and missed opportunities, we propose steps that health agencies could take to incorporate precaution into a pragmatic approach to using science for pandemic preparedness and response. The risk of another pandemic from the highly pathogenic avian influenza A (H5N1) virus underscores the urgency of this new approach.
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Registered trials
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.