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. 2021 Oct 20;23(10):e27261. doi: 10.2196/27261

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©Hannah Mannering, Chao Yan, Yang Gong, Mhd Wael Alrifai, Daniel France, You Chen. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 20.10.2021.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

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Overviews of the eccentricity of the 6 types of clinicians in (A) the pre– and intra–COVID-19 networks, (B) overviews of the eigenvector centrality of nurses, nurse practitioners, and neonatology physicians in the pre– and intra–COVID-19 networks, (C) subnetworks of NICU nurses and their eigenvector centrality in the pre– and intra–COVID-19 settings, and (D) subnetworks of neonatology physicians and their betweenness centrality in the pre– and intra–COVID-19 settings. The legend in the center shows the colors of the 6 roles, which have the largest number of clinicians affiliated. The eccentricity is directly correlated with the corresponding node size in (A), the eigenvector centrality is directly correlated with the corresponding node size in (B) and (C), and the betweenness centrality is directly correlated with the corresponding node size in (D). ICU: intensive care unit, NICU: neonatal intensive care unit.