A Platform for Data-Centric, Continuous Epidemiological Analyses (EpiGraphHub): Descriptive Analysis (Preprint) 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/10.2196/preprints.40554
YOU?
·
· 2022
· Open Access
·
· DOI: https://doi.org/10.2196/preprints.40554
BACKGROUND Guaranteeing durability, provenance, accessibility, and trust in open data sets can be challenging for researchers and organizations that rely on public repositories of data critical for epidemiology and other health analytics. The required data repositories are often difficult to locate and may require conversion to a standard data format. Data-hosting websites may also change or become unavailable without warning. A single change to the rules in one repository can hinder updating a public dashboard reliant on data pulled from external sources. These concerns are particularly challenging at the international level, because policies on systems aimed at harmonizing health and related data are typically dictated by national governments to serve their individual needs. OBJECTIVE In this paper, we introduce a comprehensive public health data platform, EpiGraphHub, that aims to provide a single interoperable repository for open health and related data. METHODS The platform, curated by the international research community, allows secure local integration of sensitive data while facilitating the development of data-driven applications and reports for decision-makers. Its main components include centrally managed databases with fine-grained access control to data, fully automated and documented data collection and transformation, and a powerful web-based data exploration and visualization tool. RESULTS EpiGraphHub is already being used for hosting a growing collection of open data sets and for automating epidemiological analyses based on them. The project has also released an open-source software library with the analytical methods used in the platform. CONCLUSIONS The platform is fully open source and open to external users. It is in active development with the goal of maximizing its value for large-scale public health studies.
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- Type
- preprint
- Language
- en
- Landing Page
- https://doi.org/10.2196/preprints.40554
- OA Status
- gold
- Cited By
- 1
- References
- 17
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4283734834
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4283734834Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.2196/preprints.40554Digital Object Identifier
- Title
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A Platform for Data-Centric, Continuous Epidemiological Analyses (EpiGraphHub): Descriptive Analysis (Preprint)Work title
- Type
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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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2022-06-27Full 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/10.2196/preprints.40554Publisher landing page
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YesWhether a free full text is available
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goldOpen access status per OpenAlex
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https://doi.org/10.2196/preprints.40554Direct OA link when available
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Interoperability, Computer science, Open data, Dashboard, Data science, Analytics, Preprint, Software, Data collection, Data management, World Wide Web, Database, Programming language, Mathematics, StatisticsTop concepts (fields/topics) attached by OpenAlex
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1Total citation count in OpenAlex
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2025: 1Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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