Extended Data Fig. 1: Pairs plot showing the relationships between cumulative trust-level infection rates and trust characteristics. | Nature

Extended Data Fig. 1: Pairs plot showing the relationships between cumulative trust-level infection rates and trust characteristics.

From: The burden and dynamics of hospital-acquired SARS-CoV-2 in England

Extended Data Fig. 1: Pairs plot showing the relationships between cumulative trust-level infection rates and trust characteristics.The alternative text for this image may have been generated using AI.

Diagonal elements show kernel density estimates for cumulative covid infections in trusts from 10th June 2020 to 17th February 2021: 1) definite hospital-acquired infections per 100 beds (defined as those first PCR positive 15 or more days after hospital admission); 2) probable hospital-acquired infections per 100 beds (those first PCR positive from 8–14 days after admission); 3) imputed healthcare worker (HCW) SARS-CoV-2 infections per 100 HCWs; 4) SARS-CoV-2 infections in hospitalised patients with community onset per 100 beds; 5) bed occupancy; 6) age of acute hospital buildings in the trust expressed as a weighted average of the percentage of hospital buildings constructed in 1964 or earlier, where weights are the hospital gross internal floor areas; 7) number of single room beds per trust (including isolation rooms) as a percentage of the number of general and acute beds available in the last quarter of 2020; 8) heated volume per bed (m3). Below-diagonal elements show scatterplots, where each point (coloured according to NHS region) corresponds to a single NHS trust. Above diagonal elements show the Pearson correlation coefficients between pairs of variables, both nationally (in grey) and within each NHS region.

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