Evidence map›Paper›PMID 20351842›Full record

ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2009

Impact of precautionary behaviors during outbreaks of pandemic influenza: modeling of regional differences.

Joakim Ekberg, Henrik Eriksson, Magnus Morin, Einar Holm, Magnus Strömgren, Toomas Timpka

Open access · greenAbstract read
In one paragraph

Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 19% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. A cloud-based simulation architecture for pandemic influenza simulation.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011
    Article
  6. Article
  7. Assumptions management in simulation of infectious disease outbreaks.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2009
    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

6 authors at 3 institutions in 2 countries.

Joakim EkbergDept. of Medical and Health Sciences, Linköping University, Linköping, Sweden.
Henrik Eriksson
Magnus Morin
Einar Holm
Magnus Strömgren
Toomas Timpka
Linköping University · SEUmeå University · SEUniversity of Tartu · EE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using time geographic theory for representation of population mixing, we set out to analyze the relative impact from precautionary behaviors on outbreaks of pandemic influenza in Europe and Asia. We extended an existing simulator environment with behavioral parameters from a population survey to model different behaviors. We found that precautionary behaviors even among a minority of the population can have a decisive effect on the probability of the outbreak to propagate. The results also display that assumptions strongly influences the outcome. Depending on the interpretation of how many "children" are kept from "school", R(0) changes from a range where outbreak progression is possible to a range where it is improbable in both European (R(0)=1.77/1.23) and Asian (R(0)=1.70/1.05) conditions. We conclude that unprompted distancing can have a decisive effect on pandemic propagation. An important response strategy can be to promote voluntary precautionary behavior shown to reduce disease transmission.

Indexed as

Computer SimulationHealth BehaviorModels, BiologicalAdolescentAsiaChildChild, PreschoolDisease Transmission, InfectiousEuropeHumansInfluenza, HumanPandemics

Identifiers

PMID20351842
PMCPMC2815480
OpenAlexW1846121885

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.