The EL-COVID survey raw data
Published: 21 September 2021| Version 4 | DOI: 10.17632/fv5ztss3yf.4
Contributors:
Nikolaos Patelis, Theodosios Bisdas, Zaiping Jing, Jiaxuan Feng, Matthias Trenner, Nyityasmono Tri Nugroho, Paulo Eduardo Ocke Reis, Stephan Elkouri, Alexandre Lecis, Lamisse Karam, Dirk Le Roux, Mihai Ionac, Marton Berczeli, Vincent Jongkind, Kak Khee Yeung, Athanasios Katsargyris, Efthymios Avgerinos, Demetrios Moris, Andrew Choong, Jun Jie Ng, Ivan Cvjetko, George A. Antoniou, Phil Ghibu, Alexei Svetlikov, Fernando Gallardo, Harm P. Ebben, Andrii Chornuy, Sviatoslav Kostiv, Stefano Ancetti, Niki Tadayon, Akli Mekkar, Leonid Magnitskiy, Liliana Fidalgo Domingos, Sean J. Matheiken, Eduardo Sebastian Sarutte Rosello, Arda Isik, Georgios Kirkilesis, Kyriaki Kakavia, Sotirios GeorgopoulosDescription
This dataset contains the data from the EL-COVID research (vascular E-Learning during the COVID-19 pandemic: the EL-COVID survey). All records are anonymised with some sensitive information removed (e.g. ip address). More information on this project is available at http://med-pie.com/vascular-e-learning-during-the-covid-19-pandemic-el-covid-survey
Files
Steps to reproduce
Online survey available for a limited period of time during the COVID-19 pandemic. The 18-question online survey form was open to all vascular surgeons or vascular trainees worldwide.
Categories
Surgery, Vascular Surgery, Distance Learning, e-Learning, COVID-19