Tracking High Potential Transmission Risk Spots of Infectious Disease Using Spatial Social Network Analysis and Visualisation (SSNAV) Techniques
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0293-0_36
Reference33 articles.
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5. Abdul Rasam AR, Mohd Shariff N, Dony JF (2019) Geospatial-based model for diagnosing potential high-risk areas of tuberculosis disease in Malaysia. MATEC Web Conf 266:02007. https://doi.org/10.1051/matecconf/201926602007
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