Evidence map›Paper›PMID 38328567›Full record

ArticleRoyal Society open science2024

The effect of model structure and data availability on Usutu virus dynamics at three biological scales.

Nora Heitzman-Breen, Yuganthi R Liyanage, Nisha Duggal, Necibe Tuncer, Stanca M Ciupe

Open access · goldAbstract read
In one paragraph

Article in Royal Society open science, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
9.8field-weighted citation impact, top 2% of its field
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

11 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  8. Identifiability investigation of within-host models of acute virus infection.Mathematical biosciences and engineering : MBE · 2024
    Article
  9. Article
  10. 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

5 authors at 3 institutions in 1 country.

Nora Heitzman-BreenDepartment of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.
Yuganthi R LiyanageDepartment of Mathematical Sciences, Florida Atlantic University, Boca Raton, FL, USA.
Nisha DuggalDepartment of Biomedical Sciences and Pathobiology, VA-MD College of Veterinary Medicine, Virginia Tech, Blacksburg, VA, USA.
Necibe TuncerDepartment of Mathematical Sciences, Florida Atlantic University, Boca Raton, FL, USA.
Stanca M CiupeDepartment of Mathematics, Virginia Polytechnic Institute and State University, Blacksburg, VA, USA.ORCID 0000-0002-5386-6946
Florida Atlantic University · USVirginia Tech · USVirginia–Maryland College of Veterinary Medicine · US

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
Determinants of Usutu virus bird-to-mosquito transmissionR21AI156322 · NIAID · VIRGINIA POLYTECHNIC INST AND ST UNIV · PI DUGGAL, NISHA · 2021 to 2022
$433k
NIAID NIH HHS R21 AI156322NIGMS NIH HHS R01 GM152743
6 · The paper itself

Abstract

Understanding the epidemiology of emerging pathogens, such as Usutu virus (USUV) infections, requires systems investigation at each scale involved in the host-virus transmission cycle, from individual bird infections, to bird-to-vector transmissions, and to USUV incidence in bird and vector populations. For new pathogens field data are sparse, and predictions can be aided by the use of laboratory-type inoculation and transmission experiments combined with dynamical mathematical modelling. In this study, we investigated the dynamics of two strains of USUV by constructing mathematical models for the within-host scale, bird-to-vector transmission scale and vector-borne epidemiological scale. We used individual within-host infectious virus data and per cent mosquito infection data to predict USUV incidence in birds and mosquitoes. We addressed the dependence of predictions on model structure, data uncertainty and experimental design. We found that uncertainty in predictions at one scale change predicted results at another scale. We proposed

Indexed as

immuno-epidemiological modelsmathematical modelmodel identifiabilitymulti-scale modelsvirus dynamics

Identifiers

PMID38328567
PMCPMC10846940
OpenAlexW4391872962

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.