Open AccessTwitter-based crowdsourcing: What kind of measures can help to end the COVID-19 pandemic faster?
Author(s) -
Himel Mondal,
Emil D. Parvanov,
Rajeev K. Singla,
Rehab Α. Rayan,
Faisal A. Nawaz,
Valentin Ritschl,
Fabian Eibensteiner,
Chandragiri Siva Sai,
Merisa Cenanovic,
Hari Prasad Devkota,
Mojca Hriberšek,
Ronita De,
Elisabeth Klager,
Maria Kletečka-Pulker,
Sabine Völkl-Kernstock,
Garba M. Khalid,
Ioannis Zabetakis,
MihneaAlexandru Găman,
Bairong Shen,
Tanja Stamm,
Harald Willschke,
A Atanasov
Publication year - 2022
Publication title -
frontiers in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.388
H-Index - 39
ISSN - 2296-858X
DOI - 10.3389/fmed.2022.961360
Subject(s) - crowdsourcing , covid-19 , pandemic , data science , computer science , virology , world wide web , medicine , disease , pathology , infectious disease (medical specialty) , outbreak