India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling

@article{Debnath2020IndiaNT,
  title={India nudges to contain COVID-19 pandemic: A reactive public policy analysis using machine-learning based topic modelling},
  author={Ramit Debnath and Ronita Bardhan},
  journal={PLoS ONE},
  year={2020},
  volume={15}
}
India locked down 1.3 billion people on March 25, 2020, in the wake of COVID-19 pandemic. The economic cost of it was estimated at USD 98 billion, while the social costs are still unknown. This study investigated how government formed reactive policies to fight coronavirus across its policy sectors. Primary data was collected from the Press Information Bureau (PIB) in the form press releases of government plans, policies, programme initiatives and achievements. A text corpus of 260,852 words… 
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