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Fig. 4 | BMC Medical Informatics and Decision Making

Fig. 4

From: Forecasting severe respiratory disease hospitalizations using machine learning algorithms

Fig. 4

Pearson Correlation between current SARI incidence values and past incidence of detected respiratory viruses. Heatmaps show the Pearson Correlation Coefficient (PCC) between the SARI incidence and the incidence of individual respiratory viruses. The virus incidence values were shifted back in time to visualize how well past values from the different viruses correlate with present SARI values. For example, the RV value at position (-3 days, 2017) represents the Pearson correlation between the SARI incidence on a specific day and the RV incidence 3 days before that day, calculated over all time points from 2017. White areas (see PIV2 for 2012) describe cases in which the numbers were too sparse to compute a PCC. The viruses investigated are influenza (FLU), respiratory syncytial virus (RSV), rhinovirus (RV), parainfluenza virus 1–3 (PIV), human metapneumovirus (HMPV), enterovirus (ENTV), and adenovirus (ADV)

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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