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• Shi Chen's interest in science began with his fascination with animals and bugs as a child.
• He later focused on infectious disease modeling and research in big data analytics, health informatics, and mathematical modeling.
• Infoveillance is a surveillance method that monitors public opinions and sentiments on the internet to detect potential outbreaks and misinformation.
• Effective health communication is crucial in addressing public health concerns, and the impact of misinformation on vaccination rates for diseases like COVID-19 and MMR is a lasting concern. The scenario modeling hub is a collaborative effort to standardize data and assumptions for modeling the COVID-19 pandemic.
• Artificial intelligence has automated data collection and analysis in epidemiology and allows for the integration of high-dimensional datasets.
• Dealing with social and political aspects of disease outbreaks, such as misinformation and discrimination, is a challenge.
• Epidemiologists use data mapping to understand spatial and temporal heterogeneities and inform public health decisions.

This podcast was produced and edited by Zack Jackson CIPHER is a proud part of UNC Charlotte who holds all rights to the content created by this podcast