Evidence map›Paper›PMID 32315318›Full record

ArticlePloS one2020

Stochastic modeling of influenza spread dynamics with recurrences.

John Whitman, Ciriyam Jayaprakash

Abstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Impact of Low Rates of Influenza on Next-Season Influenza Infections.American journal of preventive medicine · 2022
    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

2 authors.

John WhitmanDepartment of Physics, The Ohio State University, Columbus, Ohio, United States of America.ORCID 0000-0001-5848-0164
Ciriyam JayaprakashDepartment of Physics, The Ohio State University, Columbus, Ohio, United States of America.

Funding

Project I: Immunity to Influenza in Primary Lung Epithelial CellsU19AI117873 · NIAID · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI HAYOT, FERNAND · 2015 to 2019
$8.6M
NIAID NIH HHS U19 AI117873
6 · The paper itself

Abstract

We present results of a study of a simple, stochastic, agent-based model of influenza A infection, simulating its dynamics over the course of one flu season. Building on an early work of Bartlett, we define a model with a limited number of parameters and rates that have clear epidemiological interpretation and can be constrained by data. We demonstrate the occurrence of recurrent behavior in the infected number [more than one peak in a season], which is observed in data, in our simulations for populations consisting of cohorts with strong intra- and weak inter-cohort transmissibility. We examine the dependence of the results on epidemiological and population characteristics by investigating their dependence on a range of parameter values. Finally, we study infection with two strains of influenza, inspired by observations, and show a counter-intuitive result for the effect of inoculation against the strain that leads to the first wave of infection.

Indexed as

Influenza A virusModels, TheoreticalComputer SimulationHumansImmunizationInfluenza, HumanPeriodicityRecurrenceStochastic Processes

Identifiers

PMID32315318
PMCPMC7173783

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.