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Fig. 5 | Infectious Diseases of Poverty

Fig. 5

From: TransCode: Uncovering COVID-19 transmission patterns via deep learning

Fig. 5

TransCode validation. a Data processing procedure. Each row of the constituency-level TransCode matrix of a district is summated to form the exported transmission intensity of the corresponding constituency. b Gaussian process regression with deep kernel. The model uses the historical exported transmission intensity as the input and infers the future transmission risk of each constituency. c Transmission risk prediction results for the district Yau Tsim Mong (E). Darker colors indicate a higher predicted transmission intensity; the constituency Jordan North (E18) has the highest predicted risk

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