Article info

Mapping global trends in vaccine sales before and during the first wave of the COVID-19 pandemic: a cross-sectional time-series analysis

Authors

  • Seraphine Zeitouny Center for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada PubMed articlesGoogle scholar articles
  • Katie J Suda Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USACenter for Health Equity Research and Promotion, VA Pittsburgh Healthcare System, Pittsburgh, Pennsylvania, USA PubMed articlesGoogle scholar articles
  • Kannop Mitsantisuk Division of General Internal Medicine, University of Pittsburgh School of Medicine, Pittsburgh, Pennsylvania, USA PubMed articlesGoogle scholar articles
  • Michael R Law Center for Health Services and Policy Research, The University of British Columbia, Vancouver, British Columbia, Canada PubMed articlesGoogle scholar articles
  • Mina Tadrous Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, CanadaWomen's College Research Institute, Women's College Hospital, Toronto, Ontario, Canada PubMed articlesGoogle scholar articles
  1. Correspondence to Seraphine Zeitouny; seraphine.zeitouny{at}ubc.ca
View Full Text

Citation

Zeitouny S, Suda KJ, Mitsantisuk K, et al
Mapping global trends in vaccine sales before and during the first wave of the COVID-19 pandemic: a cross-sectional time-series analysis

Publication history

  • Received July 31, 2021
  • Accepted October 26, 2021
  • First published December 2, 2021.
Online issue publication 
December 02, 2021
  • Supplementary Data

    This web only file has been produced by the BMJ Publishing Group from an electronic file supplied by the author(s) and has not been edited for content.

Request permissions

If you wish to reuse any or all of this article please use the link below which will take you to the Copyright Clearance Center’s RightsLink service. You will be able to get a quick price and instant permission to reuse the content in many different ways.