Evidence map›Paper›PMID 23608630›Full record

ArticleJournal of theoretical biology2013

Towards multiscale modeling of influenza infection.

Lisa N Murillo, Michael S Murillo, Alan S Perelson

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers.

0numbers the graph read from it
0cells of the map it votes in
38citing 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

38 citing papers in PubMed.

  1. Article
  2. Spatio-temporal modelling ofbioRxiv : the preprint server for biology · 2025
    Article
  3. Review
  4. Review
  5. Analysis of the risk and pre-emptive control of viral outbreaks accounting for within-host dynamics: SARS-CoV-2 as a case study.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Multi-scale models of lung fibrosis.Matrix biology : journal of the International Society for Matrix Biology · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Simulation modelling for immunologists.Nature reviews. Immunology · 2020
    Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Kinetic Modeling of Virus Growth in Cells.Microbiology and molecular biology reviews : MMBR · 2018
    Review
  20. 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

3 authors.

Lisa N MurilloTheoretical Biology and Biophysics, Los Alamos National Laboratory, Los Alamos, NM 87545, USA. lmurillo@lanl.gov
Michael S Murillo
Alan S Perelson

Funding

HHS HH5N272201000055CNIAID NIH HHS HHSN272201000055C
6 · The paper itself

Abstract

Aided by recent advances in computational power, algorithms, and higher fidelity data, increasingly detailed theoretical models of infection with influenza A virus are being developed. We review single scale models as they describe influenza infection from intracellular to global scales, and, in particular, we consider those models that capture details specific to influenza and can be used to link different scales. We discuss the few multiscale models of influenza infection that have been developed in this emerging field. In addition to discussing modeling approaches, we also survey biological data on influenza infection and transmission that is relevant for constructing influenza infection models. We envision that, in the future, multiscale models that capitalize on technical advances in experimental biology and high performance computing could be used to describe the large spatial scale epidemiology of influenza infection, evolution of the virus, and transmission between hosts more accurately.

Indexed as

Evolution, MolecularInfluenza, HumanModels, BiologicalAnimalsHumansInfluenza A virusEpidemiologicalInfluenza A virus modelMetapopulationNetworksViral kinetics

Identifiers

PMID23608630
PMCPMC3758892

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.