Open AccessDetermining containment policy impacts on public sentiment during the pandemic using social media data
Author(s) -
Prakash Chandra Sukhwal,
Atreyi Kankanhalli
Publication year - 2022
Publication title -
proceedings of the national academy of sciences of the united states of america
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.011
H-Index - 771
eISSN - 1091-6490
pISSN - 0027-8424
DOI - 10.1073/pnas.2117292119
Subject(s) - containment (computer programming) , social media , pandemic , covid-19 , public opinion , public policy , public economics , political science , business , computer science , economics , medicine , law , politics , disease , pathology , infectious disease (medical specialty) , programming language