Evidence map›Paper›PMID 37318761›Full record

ArticleEuro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin2023

Innovative platforms for data aggregation, linkage and analysis in the context of pandemic and epidemic intelligence.

Beth Blauer, John S Brownstein, Lauren Gardner, Moritz Ug Kraemer, Zoila Beatriz Leiva Rioja, Edouard Mathieu, Isabel Redies, Oliver W Morgan

Abstract read
In one paragraph

Article in Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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  12. Canada's approach to SARS-CoV-2 sero-surveillance: Lessons learned for routine surveillance and future pandemics.Canadian journal of public health = Revue canadienne de sante publique · 2024
    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.

Beth BlauerJohns Hopkins School of Public Health, Baltimore, Maryland, United States.
John S BrownsteinBoston Children's Hospital, Boston, Massachusetts, United States.
Lauren GardnerJohns Hopkins Whiting School of Engineering, Baltimore, Maryland, United States.
Moritz Ug KraemerUniversity of Oxford, Oxford, United Kingdom.
Zoila Beatriz Leiva RiojaCPC Analytics, Berlin, Germany.
Edouard MathieuOur World in Data, Oxford, United Kingdom.
Isabel RediesCPC Analytics, Berlin, Germany.
Oliver W MorganWorld Health Organization Hub for Pandemic and Epidemic Intelligence, Berlin, Germany.

Funding

World Health Organization 001
6 · The paper itself

Abstract

During the COVID-19 pandemic, open-access platforms that aggregate, link and analyse data were transformative for global public health surveillance. This perspective explores the work of three of these platforms: Our World In Data (OWID), Johns Hopkins University (JHU) COVID-19 Dashboard (later complemented by the Coronavirus Resource Center), and Global.Health, which were presented in the second World Health Organization (WHO) Pandemic and Epidemic Intelligence Innovation Forum. These platforms, operating mostly within academic institutions, added value to public health data that are collected by government agencies by providing additional real-time public health intelligence about the spread of the virus and the evolution of the public health emergency. Information from these platforms was used by health professionals, political decision-makers and members of the public alike. Further engagement between government and non-governmental surveillance efforts can accelerate the improvements needed in public health surveillance overall. Increasing the diversity of public health surveillance initiatives beyond the government sector comes with several benefits: technology innovation in data science, engagement of additional highly skilled professionals, greater transparency and accountability for government agencies, and new opportunities to engage with members of society.

Indexed as

COVID-19Data AggregationHumansIntelligencePandemicsPublic Healthdata analysisepidemicsoutbreakpandemicspublic health intelligence

Identifiers

PMID37318761
PMCPMC10318939

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.