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Evaluating the effectiveness of multilingual COVID-19 vaccine chatbots

Overview

This multisite research was designed to harness the power of social media to increase vaccination confidence and uptake in Thailand, Hong Kong, Singapore, and Japan.

This was achieved through the application and evaluation of the effectiveness of multilingual artificial intelligence services (chatbots) in tackling Covid-19 vaccine hesitancy and improving hesitant users’ COVID-19 vaccine confidence and acceptance for their dependent family members.

This study was the first multisite, parallel RCT on multilingual vaccine chatbots, which accommodated the most used languages and the most widely used communication platforms, developed by leading, trusted public health research organisations or government agencies.

The project’s RE-AIM framework reported high acceptance among stakeholders and strong scalability.

Methodology

The research was conducted via multisite parallel randomised controlled trials (RCT) in Thailand, Hong Kong, Singapore and Japan conducted with 2,045 hesitant adults who were at least 18 years old and have unvaccinated children or elderly family members between February 11th 2022 and June 30th 2022.

The trial covered seven major categories for improving COVID-19 vaccine confidence and acceptance across various countries:

  • 1) Importance/Necessity
  • 2) Safety
  • 3) Effectiveness
  • 4) How to get vaccinated
  • 5) Tips before vaccination
  • 6) Tips after vaccination
  • 7) Debunking misinformation

Findings

Results indicated that for the most hesitant populations, chatbots might help identify their main reasons for rejecting or delaying vaccination. This study found that mobile messenger apps could be leveraged to provide accurate vaccine information and investigate vaccine intention and risk factors for vaccine hesitancy, and reported mixed findings regarding the effectiveness of conversational chatbots depending on the target population. Based on lessons learned the team is working to translate findings for a new context and/or vaccine.

Related content

Publications
Corowa-kun: A messenger app chatbot delivers COVID-19 vaccine information in Japan

Japan has one of the highest vaccine hesitancy rates in the world. However, few studies have assessed how mobile messenger apps affect COVID-19 vaccine hesitancy. This study used a cross-sectional survey to assess the impact of text messages from Corowa-kun – a free chatbot – on COVID-19 vaccine hesitancy amongst users.

Projects
Public Perceptions and Uptake of the COVID-19 vaccine in Asia-Pacific countries

To identify knowledge gaps, beliefs and attitudes in relation to the COVID-19 pandemic and COVID-19 vaccine acceptance among adults in the Asia-Pacific region, the Vaccine Confidence Project conducted two waves of quantitative research in 2021 and 2022.

Summary

Project date:

2022 - present

Countries:
  • Thailand
  • Hong Kong
  • Singapore
  • Japan
Topics:
  • Region - Asia
  • Risk Communications
  • Intervention Design
  • Big Data
  • Enabling Technologies
  • Quantitative Research
  • Statistical Analysis
  • Misinformation
  • Social Media
Team leads
  • Dr. Leesa Lin
Key partners
  • Laboratory of Data Discovery for Health (D24H) at Hong Kong University

Latest content

Publications
A vaccine chatbot intervention for parents to improve HPV vaccination uptake among middle school girls: a cluster randomized trial

This study assesses the effectiveness of a vaccine chatbot in improving human papillomavirus (HPV) vaccination among female middle school students aged 12–15 years across diverse socioeconomic settings in China, where HPV vaccination is primarily paid out-of-pocket.

Publications
Mapping global public perspectives on mRNA vaccines and therapeutics

We conducted a social listening analysis to assess attitudes towards mRNA vaccines and therapeutics on Twitter from June 2022 to May 2023. Our findings reveal widespread negative sentiment and a global lack of confidence in mRNA vaccines and therapeutics, with frequent discussions of severe vaccine side effects, rumors, and misinformation.

Data Visualisations
Mapping global public perspectives on Health AI

We conducted a social listening analysis to assess attitudes towards Health AI.

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