Information Technology Efforts Against COVID-۱۹: A Review of Open Source Projects

سال انتشار: 1399
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 221

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شناسه ملی سند علمی:

JR_ZUMS-29-132_001

تاریخ نمایه سازی: 11 اردیبهشت 1400

چکیده مقاله:

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.

کلیدواژه ها:

COVID-۱۹ ، Coronavirus ، Free and open source software ، FOSS

نویسندگان

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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  • Xia W, Shao J, Guo Y, Peng X, Li Z, ...
  • Smith N, Fraser M. Straining the system: novel coronavirus (COVID-19) ...
  • Galaz V. Pandemic 2.0: Can information technology help save the ...
  • Li P. Investigating information technologies in disasters: Three essays on ...
  • De Silva C, Prustalis M. The sahana free and open ...
  • Tom-Aba D, Olaleye A, Olayinka AT, et al. Innovative technological ...
  • Ansumana R, Bonwitt J, Stenger DA, Jacobsen KH. Ebola in ...
  • STEM: An open source tool for disease modeling. Health Secur. ...
  • Tiemann M, Initiative POS. How open source software can save ...
  • Iftikhar A, Bond R, McGilligan V, et al. Role of ...
  • Maheshwari D, Janssen M. Dashboards for supporting organizational development: principles ...
  • Boulos MNK, Geraghty EM. Geographical tracking and mapping of coronavirus ...
  • Lai D. Monitoring the SARS epidemic in China: a time ...
  • Chang HJ, Huang N, Lee CH, Hsu YJ, Hsieh CJ, ...
  • Warren-Gash C, Bhaskaran K, Hayward A, et al. Circulating influenza ...
  • Upshur R, Knight K, Goel V. Time-series analysis of the ...
  • Lekone PE, Finkenstädt BF. Statistical inference in a stochastic epidemic ...
  • Camacho A, Kucharski A, Funk S, Breman J, Piot P, ...
  • Bernheim A, Mei X, Huang M, et al. Chest CT ...
  • Li Y, Xia L. Coronavirus disease 2019 (COVID-19): role of ...
  • Korb KB, Nicholson AE. Bayesian artificial intelligence: CRC press; 2010 ...
  • Hajiali M. Big data and sentiment analysis: A comprehensive and ...
  • Thrusfield M. Veterinary epidemiology: John Wiley & Sons; 2018 ...
  • Cruz-Gomes S, Amorim-Lopes M, Almada-Lobo B. Epidemiology and demand for ...
  • Siswanto S, Risva R, Nana M. Epidemiology forecasting analysis of ...
  • Subbulakshmi S, Krishnan A, Sreereshmi R, editors. Contextual aware dynamic ...
  • Leatherman S, Tawfik L, Jaff D, et al. Quality health ...
  • Hanen J, Kechaou Z, Ayed MB. An enhanced healthcare system ...
  • Bott R. Methods and systems for providing application programming interfaces ...
  • نمایش کامل مراجع