TY  - JOUR
AU  - Coelho, Flávio
AU  - Câmara, Daniel Cardoso Portela
AU  - Araújo, Eduardo Correa
AU  - Bianchi, Lucas Monteiro
AU  - Ogasawara, Ivan
AU  - Dalal, Jyoti
AU  - James, Ananthu
AU  - Abbate, Jessica L
AU  - Merzouki, Aziza
AU  - dos Reis, Izabel Cristina
AU  - Nwosu, Kene David
AU  - Keiser, Olivia
PY  - 2023
DA  - 2023/3/6
TI  - A Platform for Data-Centric, Continuous Epidemiological Analyses (EpiGraphHub): Descriptive Analysis
JO  - J Med Internet Res
SP  - e40554
VL  - 25
KW  - epidemiology
KW  - data analysis
KW  - disease surveillance
KW  - data science
KW  - public health
KW  - durability
KW  - accessibility
KW  - data set
KW  - public
KW  - platform
KW  - data
KW  - application
KW  - decision
KW  - decision-making
AB  - 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. 
SN  - 1438-8871
UR  - https://www.jmir.org/2023/1/e40554
UR  - https://doi.org/10.2196/40554
UR  - http://www.ncbi.nlm.nih.gov/pubmed/36877539
DO  - 10.2196/40554
ID  - info:doi/10.2196/40554
ER  -