Abstract
The Coronavirus (COVID-19) pandemic has underscored the importance of visualization tools in healthcare for monitoring infectious diseases. Geographic Information Systems (GIS) facilitate data comprehension by employing visual representation and analysis to convey disease-related information in a clear and accessible manner. Its increasing utilization in public health has been instrumental in enhancing disease surveillance and response planning efforts.
Respiratory Syncytial Virus (RSV) is a ubiquitous viral infection that is prevalent in both children and adults, and it is the most common pathogen identified in lower respiratory tract infections in infants. However, current RSV surveillance lacks an integrated visualization platform utilizing GIS techniques.
This research aims to address this gap by developing a web-based prototype dashboard that visualizes and analyzes RSV prevalence trends. The prototype dashboard is meticulously designed to provide comprehensive information about RSV, emphasizing a user-centric approach and interactive features. By leveraging GIS and visualization techniques, this study can contribute to the advancement of RSV surveillance and enhance our understanding of the disease.
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Liang, J., Luz, S., Li, Y., Nair, H. (2024). A Web-Based Prototype Dashboard for the Visualization of Spatiotemporal Trends of Respiratory Syncytial Virus. In: Bramwell-Dicks, A., Evans, A., Winckler, M., Petrie, H., Abdelnour-Nocera, J. (eds) Design for Equality and Justice. INTERACT 2023. Lecture Notes in Computer Science, vol 14536. Springer, Cham. https://doi.org/10.1007/978-3-031-61698-3_10
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