Evidence map›Paper›PMID 19692550›Full record

ArticleEuropean journal of public health2009

Investment decisions in influenza pandemic contingency planning: cost-effectiveness of stockpiling antiviral drugs.

Anna K Lugnér, Maarten J Postma

Open access · bronzeAbstract read
In one paragraph

Article in European journal of public health, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 14% 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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Optimal Investment in Prevention and Recovery for Mitigating Epidemic Risks.Risk analysis : an official publication of the Society for Risk Analysis · 2022
    Review
  4. Review
  5. Article
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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

2 authors at 2 institutions in 3 countries.

Anna K LugnérNational Institute for Public Health and the Environment, Centre for Infectious Disease Control, Epidemiology and Surveillance, Bilthoven, the Netherlands. anna.lugner@rivm.nl
Maarten J Postma
National Institute for Public Health and the Environment · NLPharmacoeconomics and Health Outcomes Research Iberia (Spain) · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe threat of an influenza pandemic has led to stockpiling of antiviral drugs in order to mitigate a plausible outbreak. If the stockpile would be used in relation to the recent pandemic alert, an investment decision about renewing the stock for a possible subsequent pandemic is essential. The decision should include cost-effectiveness considerations.

methodsWe constructed a cost-effectiveness analysis in the Dutch context, explicitly including risk of an outbreak. Outcomes from a dynamic transmission model, comparing an intervention with a non-intervention scenario, were input in our health economic calculations.

resultsStockpiling was cost-effective from the health-care perspective if the actual risk is 37% for 30 years. If less than 60% of the population would take the antiviral drugs or the attack rate is about 50%, the investment would not be cost-effective from this perspective.

conclusionRisk perception, realistic coverage among population and size of a pandemic are crucial parameters and highly decisive for the investment decision.

Indexed as

Antiviral AgentsCost-Benefit AnalysisDisease OutbreaksHumansInfluenza, HumanModels, TheoreticalNetherlandsOseltamivirRisk AssessmentAntiviral AgentsOseltamivir

Identifiers

PMID19692550
PMCPMC7798111
OpenAlexW2001445607

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.