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10 p, 631.8 KB A Large-Scale COVID-19 Twitter Chatter Dataset for Open Scientific Research-An International Collaboration / Banda, Juan M. (Georgia State University (Atlanta). Department of Computer Science) ; Tekumalla, Ramya (Georgia State University (Atlanta). Department of Computer Science) ; Wang, Guanyu (University of Missouri. Missouri School of Journalism) ; Yu, Jingyuan (Universitat Autònoma de Barcelona. Departament de Psicologia Social) ; Liu, Tuo (Department of Psychology, Carl von Ossietzky Universität Oldenburg, 26129 Oldenburg, Germany) ; Ding, Yuning (Universität Duisburg-Essen. Language Technology Lab) ; Artemova, Ekaterina (Higher School of Economics-National Research University (Moscou, Rússia)) ; Tutubalina, Elena (Kazan Federal University (Kazan, Rússia). Faculty of Chemistry) ; Chowell, Gerardo (Georgia State University (Atlanta). Department of Population Health Sciences)
As the COVID-19 pandemic continues to spread worldwide, an unprecedented amount of open data is being generated for medical, genetics, and epidemiological research. The unparalleled rate at which many research groups around the world are releasing data and publications on the ongoing pandemic is allowing other scientists to learn from local experiences and data generated on the front lines of the COVID-19 pandemic. [...]
2021 - 10.3390/epidemiologia2030024
Epidemiologia, Vol. 2 (august 2021) , p. 315-324  

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