Evidence map›Paper›PMID 39346675›Full record

ArticleiScience2024

Real time monitoring of respiratory viral infections in cohort studies using a smartphone app.

David G Hancock, Elizabeth Kicic-Starcevich, Thijs Sondag, Rael Rivers, Kate McGee, Yuliya V Karpievitch, Nina D'Vaz, Patricia Agudelo-Romero, Jose A Caparros-Martin, Thomas Iosifidis and 2 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in iScience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

12 authors.

David G HancockWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Elizabeth Kicic-StarcevichWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Thijs SondagWeGuide, The Royal Children's Hospital, Parkville VIC 3052, Australia.
Rael RiversWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Kate McGeeWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Yuliya V KarpievitchWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Nina D'VazWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Patricia Agudelo-RomeroWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Jose A Caparros-MartinWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Thomas IosifidisWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Anthony KicicWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.
Stephen M StickWal-yan Respiratory Research Centre, Telethon Kids Institute, Nedlands WA 6009, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cohort studies investigating respiratory disease pathogenesis aim to pair mechanistic investigations with longitudinal virus detection but are limited by the burden of methods tracking illness over time. In this study, we explored the utility of a purpose-built AERIAL TempTracker smartphone app to assess real-time data collection and adherence monitoring and overall burden to participants, while identifying symptomatic respiratory illnesses in two birth cohort studies. We observed strong adherence with daily app usage over the six-month study period, with positive feedback from participant families. A total of 648 symptomatic respiratory illness events were identified with significant variability between individuals in the frequency, duration, and virus detected. Collectively, our data show that a smartphone app provides a reliable method to capture the longitudinal virus data in cohort studies which facilitates the understanding of early life infections in chronic respiratory disease development.

Indexed as

Health sciencesHealth technologyImmunologyMedical specialtyMedicinePublic healthRespiratory medicine

Identifiers

PMID39346675
PMCPMC11439530

What Socratic 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 Socratic graph.