Evidence map›Paper›PMID 42576855›Full record

ReviewSustainable microbiology2024

Pandemic preparedness-political perspectives.

Harald Brüssow

Abstract readReview
In one paragraph

Review in Sustainable microbiology, 2024. 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

1 author.

Harald BrüssowDepartment of Biosystems, Laboratory of Gene Technology, KU Leuven, Kastelpark Arenberg 21, Leuven 3001, Belgium.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pandemic preparedness is explored for the antibiotic resistance crisis and the threat of a next viral pandemic. Bacterial pathogens escaping from control by antibiotics are well defined, and resistance develops over decades while a next viral pandemic occurs suddenly with a novel virus. The death toll for resistant bacterial infections is reviewed, and the scientific and economic hurdles to the development of new antibiotics are discussed. Regulatory adaptations and financial push and pull programs to restimulate new antibiotic development are explored. The COVID-19 pandemic caused not only millions of deaths, but also economic losses in excess of 10 trillion US dollars. Coronaviruses and influenza viruses remain usual suspects for new viral pandemics, followed by paramyxoviruses. Viral infections at the animal-human interface in wet markets and in disturbed environments need active virus surveillance programs. Learning lessons from the COVID-19 for non-pharmaceutical interventions is difficult to draw since measures were frequently applied in combination against different variant viruses and against changing population immunity levels. The Randomised Evaluation of COVID-19 Therapy (RECOVERY) clinical trials demonstrated that even under emergency situations clinical trials can rapidly provide solid treatment data. Various novel vaccine approaches were the most efficient control measures for the COVID-19 pandemic. Pandemic preparedness also requires a fact-based discussion both in the public and in parliaments to settle the conflict between individual freedom and necessary restrictions during a pandemic. Mature and educated citizens are needed not only for coping with pandemics but also for creating stress-resistant democratic societies. Learned scientific societies should contribute to this discussion.

Indexed as

antibiotic resistancecomplianceinternet literacynon-pharmaceutical interventionsnovel antibioticspandemic preparedness

Identifiers

PMID42576855
PMCPMC13375317

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.