Evidence map›Paper›PMID 42748088›Full record

ArticlePloS one2026

Respiratory virology dashboards for primary care and public health insight in England.

Cecilia Rago, Pushpa Kumarapeli, Harshana Liyanage, José M Ordóñez-Mena, Uy Hoang, Gavin Jamie, Jessica Smylie, Timea Suli, Katja Hoschler, Anika Singanayagam and 4 more

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

14 authors.

Cecilia RagoNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-5575-8527
Pushpa KumarapeliSchool of Computer Science and Mathematics, Kingston University London, Kingston upon Thames, United Kingdom.ORCID https://orcid.org/0000-0002-9552-6835
Harshana LiyanageRegions Data Science, Data and Surveillance Services Division, UK Health Security Agency, London, United Kingdom.
José M Ordóñez-MenaNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Uy HoangNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Gavin JamieNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0001-9147-7784
Jessica SmylieNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Timea SuliNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.
Katja HoschlerRespiratory Virus Unit (RVU), UK Health Security Agency, Colindale, United Kingdom.
Anika SinganayagamRespiratory Virus Unit (RVU), UK Health Security Agency, Colindale, United Kingdom.ORCID https://orcid.org/0000-0002-2572-0173
Beatrix KeleRespiratory Virus Unit (RVU), UK Health Security Agency, Colindale, United Kingdom.ORCID https://orcid.org/0000-0003-1273-7299
Praveen SebastianPillaiRespiratory Virus Unit (RVU), UK Health Security Agency, Colindale, United Kingdom.
Maria ZambonRespiratory Virus Unit (RVU), UK Health Security Agency, Colindale, United Kingdom.ORCID https://orcid.org/0000-0002-8897-7881
Simon de LusignanNuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, United Kingdom.ORCID https://orcid.org/0000-0002-8553-2641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundEffective community surveillance of respiratory diseases relies on the timely collection and analysis of high quality clinical and virology data. The aim was to develop interactive dashboards for general practice, public health, and researcher groups. This would improve the visualisation, utilisation, and quality of virology data from an English sentinel network, support disease trend monitoring, early outbreak response, and thereby reduce poor health outcomes and their societal impact.

methodsThe study was conducted in the Oxford-Royal College of General Practitioners (RCGP), Research and Surveillance Centre (RSC) sentinel network sponsored by the UK Health Security Agency (UKHSA). A collaborative user-centred design (UCD) approach was used to identify three use cases for general practices, national public health collaborators, and researchers in the internal team. Reference laboratory virology data, and electronic primary care health records were processed, cleaned, linked, and aggregated in a secure Trusted Research Environment (TRE). Dashboards were developed using Microsoft Power BI (Business Intelligence). The effectiveness, usability, and user satisfaction of the dashboards were not formally evaluated.

resultsInteractive dashboards were co-designed to present spatiotemporal trends of circulating respiratory viruses in the community, in near real-time, with weekly updates on a Wednesday until the previous week ending on Sunday. The dashboard allowed primary care users to filter data to their own results, and it presented key metrics such as virus positivity rates, with benchmarked targets for team incentives. The dashboard also supported public health planning, and research and surveillance activities of the internal RSC team.

conclusionThe user-centred dashboards created a data feedback loop. Future work requires formal evaluation of usage metrics, user impact and satisfaction, data quality, and the quality of virology samples.

Indexed as

Primary Health CarePublic HealthVirologyDashboard SystemsEnglandHumans

Identifiers

PMID42748088
PMCPMC13580944

What OpenQuestion holds

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Registered trials

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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.