Tracking High Potential Transmission Risk Spots of Infectious Disease Using Spatial Social Network Analysis and Visualisation (SSNAV) Techniques

• Published in: Lecture Notes on Data Engineering and Communications Technologies
• Main Author: Jalil I.A.; Rasam A.R.A.
• Format: Book chapter
• Language: English
• Published: Springer Science and Business Media Deutschland GmbH 2024
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192772606&doi=10.1007%2f978-981-97-0293-0_36&partnerID=40&md5=b360d41e3dbd952167cfec4f6d5231f0

The risk map for infectious disease shows the importance of the Geographical Information System (GIS) and spatial social network analysis and visualisation (SSNAV) as a preparedness and response tool to strengthen the capacity for assessing health risks. The current mapping method still needs to be revised to detect the potential risk areas of the disease due to the need for more dynamic spatial and social elements, especially in identifying human mobility effects in detecting missing tuberculosis (TB) cases. This study has combined GIS-MCDM and SSNAV techniques to evaluate whether this combination will enhance TB’s general existing disease hotspot mapping in Klang, Selangor. The social network structure of selected TB cases in Klang as actors (nodes) and human mobility (home-workplace) data as edges has been used to investigate social network mobility structures, analyse the relationships among the nodes and study their edges regarding their network centrality. The main finding has revealed that the higher the node’s centrality in the network structure, the higher the chance the node influences the TB spread in the whole network after comparing the network graph results with the GIS mapping technique. Combining these techniques increases the existing mapping capabilities towards enhancing the understanding of how diseases move through the population and creating a reliable potential risk map in Malaysia. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.