Evidence map›Paper›PMID 36792230›Full record

ArticleBMJ global health2023

Digital public health leadership in the global fight for health security.

Bandar AlKnawy, Zisis Kozlakidis, Sasu Tarkoma, David Bates, Antti Honkela, George Crooks, Kyu Rhee, Mollie McKillop

Abstract read
In one paragraph

Article in BMJ global health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 2 pooled it
–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

5 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. 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

8 authors.

Bandar AlKnawyKing Saud bin Abdulaziz University for Health Sciences, Riyadh, Saudi Arabia knawyb@ngha.med.sa.ORCID 0000-0002-4552-9683
Zisis KozlakidisWorld Health Organization, Geneva, Switzerland.
Sasu TarkomaDepartment of Computer Science, University of Helsinki, Helsinki, Finland.
David BatesDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachusetts, USA.
Antti HonkelaDepartment of Computer Science, University of Helsinki, Helsinki, Finland.ORCID 0000-0001-9193-8093
George CrooksDigital Health and Care Innovation Centre, Glasgow, UK.
Kyu RheeCVS Health Corp, Woonsocket, Rhode Island, USA.
Mollie McKillopIBM Consulting, New York, New York, USA.

Funding

World Health Organization 001
6 · The paper itself

Abstract

The COVID-19 pandemic highlighted the need to prioritise mature digital health and data governance at both national and supranational levels to guarantee future health security. The Riyadh Declaration on Digital Health was a call to action to create the infrastructure needed to share effective digital health evidence-based practices and high-quality, real-time data locally and globally to provide actionable information to more health systems and countries. The declaration proposed nine key recommendations for data and digital health that need to be adopted by the global health community to address future pandemics and health threats. Here, we expand on each recommendation and provide an evidence-based roadmap for their implementation. This policy document serves as a resource and toolkit that all stakeholders in digital health and disaster preparedness can follow to develop digital infrastructure and protocols in readiness for future health threats through robust digital public health leadership.

Indexed as

COVID-19Public HealthGlobal HealthHumansLeadershipPandemicsCOVID-19Health policyOther study designPublic Health

Identifiers

PMID36792230
PMCPMC9933676

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.