Vaccine hesitancy

Algorithms
Cell aging
Channel coding
Computer and information sciences
Machine learning
Source coding

Join this course to receive advanced practical training in the principles of vaccine confidence, including measuring and monitoring vaccine hesitancy, responding to and addressing issues of vaccine confidence, and rebuilding trust.

  • 5 August — 9 August 2024

  • University of Hong Kong

  • HK$3,000 (Includes accommodation)

  • Apply by 4 April 2025

Past

What you'll study

You’ll cover a wide number of key topics in this course, including:

Contextualising vaccine confidence challenges in the era of artificial intelligence

  • Historical perspectives and determinants of vaccine hesitancy 
  • The role of social media and AI 
  • Risk perception and rumour psychology in the digital era

Global monitoring of vaccine confidence

  • Measuring vaccine confidence through quantitative surveys 
  • Infectious disease modelling
  • Health economic evaluation of vaccine programmes

Communication strategies to build vaccine confidence 

  • Addressing issues of public confidence
  • The role of healthcare professionals in shaping vaccine confidence 
  • Strategic communication to foster trust in a digital world
  • Post-marketing safety and real-world effectiveness of vaccines 

Taking action

  • Responding to and addressing crises of vaccine confidence
  • Lessons learned from the COVID-19 pandemic and future opportunities

Who is the course for

The course is mainly designed for public health postgraduate students and professionals in Hong Kong and mainland China.

If you have any enquiries about the course, please contact by email at .

Course directors

https://projectss.croucher.org.hk/summer-courses/vaccine-hesitancy/organisers/dr-leesa-lin

Assistant Professor, Department of Infectious Disease Epidemiology, London School of Hygiene and Tropical Medicine

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