Evidence map›Paper›PMID 22459665›Full record

ArticleEpidemiology and infection2013

Effects of influenza antivirals on individual and population immunity over many epidemic waves.

K M Pepin, S Riley, B T Grenfell

Abstract read
In one paragraph

Article in Epidemiology and infection, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
  2. Review
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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

3 authors.

K M PepinDepartment of Physics, Center for Infectious Disease Dynamics, Pennsylvania State University, University Park, PA, USA.
S RileyMRC Centre for Outbreak Analysis and Disease Modelling, Department of Infection Disease Epidemiology, School of Public Health, Imperial College London, UK.
B T GrenfellFogarty International Center, National Institutes of Health, Bethesda, MD, USA.

Funding

Infrastructure for Population Research at PrincetonR24HD047879 · NICHD · PRINCETON UNIVERSITY · PI MASSEY, DOUGLAS S · 2004 to 2013
$7.3M
Medical Research Council MR/K010174/1NICHD NIH HHS R24 HD047879
6 · The paper itself

Abstract

Antivirals are an important defence against novel strains of influenza. However, the impact of widespread drug usage on strain circulation across multiple epidemic waves - via their impact on host immunity - is unknown despite antivirals having the likelihood of extensive use during a pandemic. To explore how drug usage by individuals affects population strain dynamics, we embedded a two-strain model of within-host dynamics within an epidemic model. We found that when 40% of hosts took drugs early during the infectious period, transmission was reduced by 30% and average levels of immunity by 2·9-fold (comparable to antibody concentrations), relative to 14% and 1·5-fold reductions when drugs were taken late. The novel strain was more successful relative to the resident strain when drugs were not taken, and an intermediate level of drug coverage minimized incidence in subsequent waves. We discuss how drug regimens, coverage and R 0 could impact pandemic preparedness.

Indexed as

EpidemicsModels, TheoreticalAntiviral AgentsHumansImmunityIncidenceInfluenza, HumanPopulation DynamicsTime FactorsAntiviral Agents

Identifiers

PMID22459665
PMCPMC4520436

What OpenQuestion holds

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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.