Evidence map›Paper›PMID 19551239›Full record

ArticleBulletin of the World Health Organization2009

Population-based simulations of influenza pandemics: validity and significance for public health policy.

Toomas Timpka, Henrik Eriksson, Elin A Gursky, James M Nyce, Magnus Morin, Johan Jenvald, Magnus Strömgren, Einar Holm, Joakim Ekberg

Abstract read
In one paragraph

Article in Bulletin of the World Health Organization, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing 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

20 citing papers in PubMed.

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  6. Sports Health During the SARS-Cov-2 Pandemic.Sports medicine (Auckland, N.Z.) · 2020
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  16. Responses to pandemic (H1N1) 2009, Australia.Emerging infectious diseases · 2010
    Article
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  18. Article
  19. Assumptions management in simulation of infectious disease outbreaks.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2009
    Article
  20. 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

9 authors.

Toomas TimpkaDepartment of Medical and Health Sciences, Linköpings universitet, Linköping, Sweden. tti@ida.liu.se
Henrik Eriksson
Elin A Gursky
James M Nyce
Magnus Morin
Johan Jenvald
Magnus Strömgren
Einar Holm
Joakim Ekberg

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the validity and usefulness of pandemic simulations aimed at informing practical decision-making in public health.

methodsWe recruited a multidisciplinary group of nine experts to assess a case-study simulation of influenza transmission in a Swedish county. We used a non-statistical nominal group technique to generate evaluations of the plausibility, formal validity (verification) and predictive validity of the simulation. A health-effect assessment structure was used as a framework for data collection.

findingsThe unpredictability of social order during disasters was not adequately addressed by simulation methods; even minor disruptions of the social order may invalidate key infrastructural assumptions underpinning current pandemic simulation models. Further, a direct relationship between model flexibility and computation time was noted. Consequently, simulation methods cannot, in practice, support integrated modifications of microbiological, epidemiological and spatial submodels or handle multiple parallel scenarios.

conclusionThe combination of incomplete surveillance data and simulation methods that neglect social dynamics limits the ability of national public health agencies to provide policy-makers and the general public with the critical and timely information needed during a pandemic.

Indexed as

Disease OutbreaksHealth PolicyAntiviral AgentsComputer SimulationHealth PlanningHumansInfluenza, HumanPublic HealthReproducibility of ResultsSwedenAntiviral Agents

Identifiers

PMID19551239
PMCPMC2672572

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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.