Topic modelling-based analysis of COVID-19 vaccine articles published in the preprint server MedRxiv

Deshpande, Nishad ; Ligade, Virendra ; Shaikh, Shabib-Ahmed ; Khode, Alok


Two thousand one hundred and ninety-eight research publications on COVID-19 vaccines in MedRxiv preprintrepository during January 01, 2020 and December 31, 2021 were analyzed for topic modelling with unsupervised inferencemethod. Latent Dirichlet Allocation (LDA) method was used to investigate the thematic structure of the preprints. It wasobserved that the published articles were related to either clinical trials or patient responses to vaccine or modelling forvarious applications such as infection transmission, vaccine allocation, vaccine hesitancy etc.


COVID-19, Vaccine, Preprints, LDA, Topic modelling

Full Text: PDF (downloaded 1680 times)
This abstract viewed 1565 times

Principal contact:

Technical support contact: or &