Evidence map›Paper›PMID 27781468›Full record

ArticleChaos (Woodbury, N.Y.)2016

Effects of quasiperiodic forcing in epidemic models.

Shakir Bilal, Brajendra K Singh, Awadhesh Prasad, Edwin Michael

Abstract read
In one paragraph

Article in Chaos (Woodbury, N.Y.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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.

Shakir BilalDepartment of Physics and Astrophysics, University of Delhi, Delhi 110 007, India.
Brajendra K SinghDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana 46556, USA.
Awadhesh PrasadDepartment of Physics and Astrophysics, University of Delhi, Delhi 110 007, India.
Edwin MichaelDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana 46556, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study changes in the bifurcations of seasonally driven compartmental epidemic models, where the transmission rate is modulated temporally. In the presence of periodic modulation of the transmission rate, the dynamics varies from periodic to chaotic. The route to chaos is typically through period doubling bifurcation. There are coexisting attractors for some sets of parameters. However in the presence of quasiperiodic modulation, tori are created in place of periodic orbits and chaos appears via finite torus doublings. Strange nonchaotic attractors (SNAs) are created at the boundary of chaotic and torus dynamics. Multistability is found to be reduced as a function of quasiperiodic modulation strength. It is argued that occurrence of SNAs gives an opportunity of asymptotic predictability of epidemic growth even when the underlying dynamics is strange.

Indexed as

EpidemicsModels, BiologicalPeriodicityComputer SimulationDisease SusceptibilityHumansNonlinear DynamicsTime Factors

Identifiers

PMID27781468
PMCPMC7112454

What OpenQuestion holds

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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.