open-source software for monitoring and analysis Search Results


90
SourceForge net open source software for collection and analysis of disease surveillance data
Brief description of digital technology tools
Open Source Software For Collection And Analysis Of Disease Surveillance Data, supplied by SourceForge net, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open-source+software+for+monitoring+and+analysis/open+source+software+for+collection+and+analysis+of+disease+surveillance+data/pmc04332877-12-15-19
Average 90 stars, based on 1 article reviews
open source software for collection and analysis of disease surveillance data - by Bioz Stars, 2026-10
90/100 stars
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90
Schmid GmbH intuitive, open-source software for meta-analysis in ecology and evolutionary biology
Brief description of digital technology tools
Intuitive, Open Source Software For Meta Analysis In Ecology And Evolutionary Biology, supplied by Schmid GmbH, used in various techniques. Bioz Stars score: 90/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
https://www.bioz.com/product/open-source+software+for+monitoring+and+analysis/intuitive++open+source+software+for+meta+analysis+in+ecology+and+evolutionary+biology/pm34169634-330-22-14
Average 90 stars, based on 1 article reviews
intuitive, open-source software for meta-analysis in ecology and evolutionary biology - by Bioz Stars, 2026-10
90/100 stars
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Brief description of digital technology tools

Journal: Clinical Microbiology and Infection

Article Title: New digital technologies for the surveillance of infectious diseases at mass gathering events

doi: 10.1016/j.cmi.2014.12.017

Figure Lengend Snippet: Brief description of digital technology tools

Article Snippet: Real-Time Outbreak and Disease Surveillance (RODS) , Open source software for collection and analysis of disease surveillance data ( http://openrods.sourceforge.net ).

Techniques: Biomarker Discovery, Extraction, Software, Transmission Assay