Pandemic transition: A review of social media text mining for pandemic transition in the post-vaccination era.

Publication date: Nov 01, 2025

In the post-vaccination phase of the COVID-19 pandemic, surveillance have become critical for sustaining disease control, identifying new variants, and preserving vaccine efficacy. This study explores how social media text mining can support these priorities by providing valuable insights into public sentiment, vaccine hesitancy, and the emergence of novel viral strains. By analyzing online conversations, researchers can gain a deeper understanding of questions and concerns surrounding booster shots, enabling the development of targeted public health initiatives to address vaccine reluctance and promote booster uptake. Moreover, social media data can assist governments in identifying areas with high vaccine hesitancy or low vaccination rates, allowing for the strategic allocation of resources and interventions. Importantly, this study also highlights the potential of social media text mining to serve as an early warning system for new viral variants. By monitoring discussions related to symptoms and outbreaks, researchers can detect risks before they become widespread, informing timely public health responses and mitigation strategies. Complementing these surveillance efforts, the study emphasizes the significance of pattern prediction, which leverages historical data and models to forecast disease dynamics and guide resource allocation. By integrating social media data with epidemiological and clinical information, more accurate and responsive pandemic management strategies can be implemented. Ultimately, this research underscores the critical role of continuous pandemic monitoring and pattern prediction in the post-vaccination phase, enabling evidence-based decision-making and the effective control of infectious diseases. The insights gained from this study can inform the development of robust, data-driven frameworks for pandemic preparedness and response in the aftermath of widespread vaccination campaigns.

Semantics

Original Article