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A Reproducible Python-Based Computational Pipeline for Real-Time Ingestion, Advanced Analysis, and Dynamic Reporting of Public Health Data: A Systems Validation Study.

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第一作者： Pavan Kumar,Krishnapur

第一单位： Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND.

作者： Pavan Kumar,Krishnapur ^[1] ; Chaitra,Cm ^[1] ; Arjun,B ^[1] ; Ananthakrishnan,M ^[1]

作者单位： Community and Family Medicine, All India Institute of Medical Sciences, Bhopal, Bhopal, IND. ^[1]

关键词 bioinformatics data managment public health informatics python programming workflow automation

DOI 10.7759/cureus.103008

PMID 41798472

发布时间 2026-03-09

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A Reproducible Python-Based Computational Pipeline for Real-Time Ingestion, Advanced Analysis, and Dynamic Reporting of Public Health Data: A Systems Validation Study.

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A Reproducible Python-Based Computational Pipeline for Real-Time Ingestion, Advanced Analysis, and Dynamic Reporting of Public Health Data: A Systems Validation Study.

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