Evidence map›Paper›PMID 41312440›Full record

ArticleCurrent opinion in systems biology2025

Structural and practical identifiability of within-host models of virus dynamics - a review.

Necibe Tuncer, Maia Martcheva, Stanca M Ciupe

Abstract read
In one paragraph

Article in Current opinion in systems biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
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.

Necibe TuncerDepartment of Mathematics, Florida Atlantic University, 777 Glades Road, Boca Raton, 33431, FL, USA.
Maia MartchevaDepartment of Mathematics, University of Florida, P.O. Box 118105, Gainesville, 32611-8105, FL, USA.
Stanca M CiupeDepartment of Mathematics and Virginia Tech Center for the Mathematics of Biosystems, Virginia Tech, 460 McBryde Hall, Blacksburg, 24060, VA, USA.

Funding

Collaborative Research: DMS/NIGMS 1: Identifiability investigation of Multi-scale Models of Infectious DiseasesR01GM152743 · NIGMS · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI CIUPE, STANCA M. · 2023 to 2025
$600k
NIGMS NIH HHS R01 GM152743
6 · The paper itself

Abstract

Within-host mechanistic mathematical models of virus dynamics described by ordinary differential equations are most useful when linked to empirical data. The main challenge in estimating parameters from typically available, noisy data arises from the intrinsic parameter correlations induced by model structure. As a result, the optimization problem, which fits parameters by minimizing the distance between the model and the data, may admit infinitely many solutions. These challenges can be elucidated through the study of structural and practical identifiability of the proposed model. In this article, we review existing methods for the structural and practical identifiability of the basic within-host model of viral dynamics and provide guidelines for improving unidentifiability. We discuss the challenges and new developments in extending these techniques to non-ordinary within-host differential equation models (delay, partial, and stochastic) and stress the importance of using practical identifiability results to guide optimal experimental design.

Identifiers

PMID41312440
PMCPMC12648209

What Socratic holds

Textmetadata
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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 Socratic graph.