A Platform for Data-centric, Continuous Epidemiological Analyses Article Swipe
Flávio Codeço Coelho
,
Daniel Cardoso Portela Câmara
,
Eduardo Corrêa Araújo
,
L Bianchi
,
Ivan Ogasawara
,
Jyoti Dalal
,
Ananthu James
,
Jessica L. Abbate
,
Aziza Merzouki
,
Izabel Cristina dos Reis
,
Kenechukwu Obumneme Samuel Nwosu
,
Olivia Keiser
·
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.04.19.22274026
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.1101/2022.04.19.22274026
Guaranteeing durability, provenance, accessibility, and trust in open datasets can be challenging for researchers and organizations that rely on public repositories of data critical to epidemiology and other health analytics. Not only are the required repositories sometimes difficult to locate, and nearly always require conversion into a compatible format, they may move or change unpredictably. Any single change of the rules in one repository can hinder updating of a public dashboard reliant on pulling data from external sources. These concerns are particularly challenging at the international level, because systems aimed at harmonizing health and related data are typically dictated by national governments to serve their individual needs. In this paper, we introduce a comprehensive public health data platform, the EpiGraphHub, that aims to provide a single interoperable repository for open health and related data, curated by the international research community, which allows secure local integration of sensitive databases whilst facilitating the development of data-driven applications and reports for decision-makers. The platform development is co-funded by the World Health Organization and is fully open-source to maximize its value for large-scale public health studies.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.1101/2022.04.19.22274026
- https://www.medrxiv.org/content/medrxiv/early/2022/04/22/2022.04.19.22274026.full.pdf
- OA Status
- green
- Cited By
- 3
- References
- 20
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4280580641
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4280580641Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1101/2022.04.19.22274026Digital Object Identifier
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A Platform for Data-centric, Continuous Epidemiological AnalysesWork title
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preprintOpenAlex work type
- Language
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enPrimary language
- Publication year
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2022Year of publication
- Publication date
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2022-04-21Full publication date if available
- Authors
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Flávio Codeço Coelho, Daniel Cardoso Portela Câmara, Eduardo Corrêa Araújo, L Bianchi, Ivan Ogasawara, Jyoti Dalal, Ananthu James, Jessica L. Abbate, Aziza Merzouki, Izabel Cristina dos Reis, Kenechukwu Obumneme Samuel Nwosu, Olivia KeiserList of authors in order
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https://doi.org/10.1101/2022.04.19.22274026Publisher landing page
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https://www.medrxiv.org/content/medrxiv/early/2022/04/22/2022.04.19.22274026.full.pdfDirect link to full text PDF
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YesWhether a free full text is available
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greenOpen access status per OpenAlex
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https://www.medrxiv.org/content/medrxiv/early/2022/04/22/2022.04.19.22274026.full.pdfDirect OA link when available
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Interoperability, Dashboard, Open data, Data science, Analytics, Computer science, Public health, Big data, Knowledge management, World Wide Web, Data mining, Medicine, NursingTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2023: 2, 2022: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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