Information Technology Efforts Against COVID-۱۹: A Review of Open Source Projects
Publish Year: 1399
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_ZUMS-29-132_001
تاریخ نمایه سازی: 11 اردیبهشت 1400
Abstract:
Currently, efforts have focused on dealing with the emerging coronavirus disease ۲۰۱۹ (COVID-۱۹) worldwide. Hopefully, information technology can be applied to meet the challenges related to the pandemic and biosurveillance. Free and open-source software (FOSS) model has emerged as an effective tool against these challenges. The main objective of this study was to determine and summarize the application of FOSS in published and released resources and materials against COVID-۱۹. This review includes projects that were available through GitHub and SourceForge reliable web-based materials. All projects were identified between January ۱ and April ۱۰, ۲۰۲۰. Search terms in GitHub and SourceForge were based on clinical terminologies, such as COVID-۱۹, COVID, Covid۱۹, and Corona Virus. Inclusion or exclusion criteria were used to filter the results. Finally, a screening procedure was followed to achieve the most related records. We identified ۴۶,۴۲۶ records in GitHub and seven projects in SourceForge. The top ۴۰ projects were included. The results show that a high percentage of FOSS projects against COVID-۱۹ were related to visual dashboards. The open dataset and analytical methods made a significant contribution to this context. Previously learned lessons from FOSS have shown that the explained projects would play important roles in future epidemics by forking and joining in new projects, which formed around a specific problem.
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Authors
Nazila Moftian
Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
Peyman Rezaei Hachesu
Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran
Taha Samad-Soltani
Iranian Center of Excellence in Health Management School of Management and Medical Informatics, Tabriz University of Medical Sciences, Tabriz, Iran
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