TY - JOUR DO - 10.31373/ejtcm/124734 TI - Datasets and future research suggestions concerning SARS-CoV-2 T2 - European Journal of Translational and Clinical Medicine AU - Szmuda, Tomasz AU - Ali, Shan AU - Özdemir, Cathrine AU - Syed, Mohammad Talha AU - Singh, Akshita AU - Hetzger, Tarjei Vevang AU - Rosvall, Phillip AU - Fedorow, Karolina AU - Alkhater, Ahmed AU - Majlöf, Anders AU - Albrahim, Mohammed AU - Alquraya, Eyad AU - Dunquwah, Rakan Al AU - Al-hakeem, Zahraa AU - Almohisin, Emad AU - Alradhi, Mohammed AU - Żydowicz, Weronika Magdalena AU - Müller, Charlene AU - Egeland, Ada AU - Kinstad, Aurora Bergersen AU - Ngyuen, Jessica AU - Kinstad, Martin Bergersen AU - Al-Rubaye, Ibraheem AU - Al-Khazragi, Yasmin AU - Dardel, Beatrice von AU - Dave, Bhakti AU - Słoniewski, Paweł AU - Fercho, Justyna AU - Kierońska, Sara PY - 2020 DA - 2020/10/08 PB - Medical University of Gdańsk SP - 80 EP - 85 VL - 3 IS - 2 KW - BCG, COVID-1, SARS-CoV-2, datasets, data, epidemiology, Google trends LA - en AB - We gathered publicly available online data and prepared a database of epidemiology, demographics, economics, Bacille Calmette-Guérin vaccination and online search trend statistics relevant to the coronavirus disease 2019 (COVID-19). Moreover, we provide several suggestions on the use of this bioresource and reference other relevant datasets to promote research on COVID-19. LK - https://ejtcm.gumed.edu.pl/articles/124734 UR - https://doi.org/10.31373/ejtcm/124734 ER -