Evidence map›Paper›PMID 32316882›Full record

ArticleJournal of the Royal Society, Interface2020

Interfering with influenza: nonlinear coupling of reactive and static mitigation strategies.

Cameron Zachreson, Kristopher M Fair, Nathan Harding, Mikhail Prokopenko

Abstract read
In one paragraph

Article in Journal of the Royal Society, Interface, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Risk mapping for COVID-19 outbreaks in Australia using mobility data.Journal of the Royal Society, Interface · 2021
    Article
  9. Article
  10. Modelling Excess Mortality in Covid-19-Like Epidemics.Entropy (Basel, Switzerland) · 2020
    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

4 authors.

Cameron ZachresonComplex Systems Research Group, Faculty of Engineering, The University of Sydney, Sydney, New South Wales 2006, Australia.
Kristopher M FairComplex Systems Research Group, Faculty of Engineering, The University of Sydney, Sydney, New South Wales 2006, Australia.
Nathan HardingComplex Systems Research Group, Faculty of Engineering, The University of Sydney, Sydney, New South Wales 2006, Australia.
Mikhail ProkopenkoComplex Systems Research Group, Faculty of Engineering, The University of Sydney, Sydney, New South Wales 2006, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

When new, highly infectious strains of influenza emerge, global pandemics can occur before an effective vaccine is developed. Without a strain-specific vaccine, pandemics can only be mitigated by employing combinations of low-efficacy pre-pandemic vaccines and reactive response measures that are carried out as the pandemic unfolds. Unfortunately, the application of reactive interventions can lead to unintended consequences that may exacerbate unpredictable spreading dynamics and cause more drawn-out epidemics. Here, we employ a detailed model of pandemic influenza in Australia to simulate the combination of pre-pandemic vaccination and reactive antiviral prophylaxis. This study focuses on population-level coupling effects between the respective methods, and the associated spatio-temporal fluctuations in pandemic dynamics produced by reactive strategies. Our results show that combining strategies can produce either mutual improvement of performance or interference that reduces the effectiveness of each strategy when they are used together. We demonstrate that these coupling effects between intervention strategies are extremely sensitive to delay times, compliance rates and the type of contact targeting used to administer prophylaxis.

Indexed as

Influenza, HumanInfluenza VaccinesAntiviral AgentsAustraliaHumansPandemicsAntiviral AgentsInfluenza Vaccinesagent-based modelantiviral prophylaxiscontact tracinginfectious diseaseinterventionnonlinear dynamics

Identifiers

PMID32316882
PMCPMC7211476

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.