VaxPulse: Monitoring of Online Public Concerns to Enhance Post-licensure Vaccine Surveillance
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arXiv
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| Auteurs principaux: | , , , , , |
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| Format: | Preprint |
| Publié: |
2025
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| _version_ | 1866918085200445440 |
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| author | Javed, Muhammad Khademi, Sedigh Hickman, Joanne Buttery, Jim Clothier, Hazel Dimaguila, Gerardo Luis |
| author_facet | Javed, Muhammad Khademi, Sedigh Hickman, Joanne Buttery, Jim Clothier, Hazel Dimaguila, Gerardo Luis |
| contents | The recent vaccine-related infodemic has amplified public concerns, highlighting the need for proactive misinformation management. We describe how we enhanced the reporting surveillance system of Victoria's vaccine safety service, SAEFVIC, through the incorporation of new information sources for public sentiment analysis, topics of discussion, and hesitancies about vaccinations online. Using VaxPulse, a multi-step framework, we integrate adverse events following immunisation (AEFI) with sentiment analysis, demonstrating the importance of contextualising public concerns. Additionally, we emphasise the need to address non-English languages to stratify concerns across ethno-lingual communities, providing valuable insights for vaccine uptake strategies and combating mis/disinformation. The framework is applied to real-world examples and a case study on women's vaccine hesitancy, showcasing its benefits and adaptability by identifying public opinion from online media. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2507_04656 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | VaxPulse: Monitoring of Online Public Concerns to Enhance Post-licensure Vaccine Surveillance Javed, Muhammad Khademi, Sedigh Hickman, Joanne Buttery, Jim Clothier, Hazel Dimaguila, Gerardo Luis Social and Information Networks Machine Learning The recent vaccine-related infodemic has amplified public concerns, highlighting the need for proactive misinformation management. We describe how we enhanced the reporting surveillance system of Victoria's vaccine safety service, SAEFVIC, through the incorporation of new information sources for public sentiment analysis, topics of discussion, and hesitancies about vaccinations online. Using VaxPulse, a multi-step framework, we integrate adverse events following immunisation (AEFI) with sentiment analysis, demonstrating the importance of contextualising public concerns. Additionally, we emphasise the need to address non-English languages to stratify concerns across ethno-lingual communities, providing valuable insights for vaccine uptake strategies and combating mis/disinformation. The framework is applied to real-world examples and a case study on women's vaccine hesitancy, showcasing its benefits and adaptability by identifying public opinion from online media. |
| title | VaxPulse: Monitoring of Online Public Concerns to Enhance Post-licensure Vaccine Surveillance |
| topic | Social and Information Networks Machine Learning |
| url | https://arxiv.org/abs/2507.04656 |