Evidence map›Paper›PMID 40038729›Full record

ArticleBMC proceedings2025

Effective communication during disease outbreaks: the role of data journalism in pandemic and epidemic intelligence.

Barbara Tornimbene, Zoila Beatriz Leiva Rioja, Aghnia Adzkia, Christian Endt, Rukmini S, Oliver Morgan

Abstract read
In one paragraph

Article in BMC proceedings, 2025. 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. 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

6 authors.

Barbara TornimbeneWorld Health Organization Hub for Pandemic and Epidemic Intelligence, Berlin, Germany. tornimbeneb@who.int.
Zoila Beatriz Leiva RiojaCPC Analytics, Berlin, Germany.
Aghnia AdzkiaBBC World Service, Jakarta, Indonesia.
Christian EndtDie Zeit, Berlin, Germany.
Rukmini SIndependent Data Journalist, Delhi, India.
Oliver MorganWorld Health Organization Hub for Pandemic and Epidemic Intelligence, Berlin, Germany.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The COVID-19 pandemic highlighted the importance of journalism, especially data journalism, in conveying accurate and understandable scientific information. Journalists helped to convert difficult scientific findings into understandable narratives, improving public understanding and trust. During the fifth session of the WHO Pandemic and Epidemic Intelligence Innovation Forum, data journalists Rukmini S. (India), Christian Endt (Germany), and Aghnia Adzkia (Indonesia) discussed their pandemic reporting experiences. The collaboration among media, public health agencies, and academia was critical in guaranteeing fast and accurate data transmission. During the session, they also discussed the obstacles journalists confront, such as overcoming data gaps and resolving public mistrust caused by misinformation or imprecise government messaging. In response, journalists' aim is to bridge the communication gap between scientists and the general people, ensuring that even complex and unclear scientific findings could be understood. Moving forward, the emphasis is on the ongoing collaboration between data journalists, scientists, decision-makers and the public to improve knowledge and science communication. Data journalism will continue to be important in future public health emergencies because it promotes transparency, makes data available, and encourages public engagement. Collaborative efforts, technical briefings, and training opportunities will improve data journalists' ability to effectively report scientific breakthroughs, making public health communication more responsive and impactful.

Indexed as

Data journalismMisinformation managementPandemic intelligencePublic health collaborationScience communication

Identifiers

PMID40038729
PMCPMC11877750

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.