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An Evidence-Based Strategy to Scale Vaccination in Canada
Anne W Snowdon1, Alexandra Wright2, Michael Saunders3
1The scientific director and chief executive officer of Supply Chain Advancement Network in Health (SCAN Health) at the University of Windsor in Windsor, ON. SCAN Health is an International Knowledge Translation Platform that engages health system leaders and supply chain experts to advance global capacity to adopt and scale best practices in the healthcare supply chain to offer traceability of products and care processes from bench to bedside to patient outcomes. She is a full professor of Strategy and Entrepreneurship at the Odette School of Business, University of Windsor. She can be reached by e-mail at anne.snowdon@uwindsor.ca.
Provincial health systems face challenges with COVID-19 vaccine rollout due to demand and supply chain issues. A scalable strategy with collaborative leadership and a digital supply chain can achieve national vaccination goals.
Area of Science:
- Public Health
- Health Systems Management
- Epidemiology
Background:
- The COVID-19 pandemic has strained provincial health systems, with vaccine rollout adding complexity.
- A successful vaccination campaign is critical for overcoming the pandemic and requires urgent, rapid strategies.
Purpose of the Study:
- To identify key challenges in current vaccine rollout strategies.
- To inform the development of a scalable national vaccine strategy.
Main Methods:
- Analysis of emerging findings from a national research study.
- Documentation of challenges including procurement, leadership, citizen engagement, and supply chain capacity.
Main Results:
- Key challenges identified: procurement, leadership, citizen engagement, and supply chain limitations.
- A proposed scalable strategy includes collaborative leadership, integrated workforce mobilization, and a digitally enabled supply chain.
Conclusions:
- A scalable vaccine strategy is essential for achieving widespread vaccination.
- The proposed strategy aims to vaccinate the entire Canadian population efficiently.
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