Choo-Yee Ting1,*, Helmi Zakariah2, Fadzilah Kamaludin2, Darryl Lin-Wei Cheng1, Nicholas Yu-Zhe Tan1, Hui-Jia Yee2
CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 835-848, 2021, DOI:10.32604/cmc.2021.013327
Abstract Ever since the COVID-19 pandemic started in Wuhan, China, much research work has been focusing on the clinical aspect of SARS-CoV-2. Researchers have been leveraging on various Artificial Intelligence techniques as an alternative to medical approach in understanding the virus. Limited studies have, however, reported on COVID-19 transmission pattern analysis, and using geography features for prediction of potential outbreak sites. Predicting the next most probable outbreak site is crucial, particularly for optimizing the planning of medical personnel and supply resources. To tackle the challenge, this work proposed distance-based similarity measures to predict the next most probable outbreak site together with… More >
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