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. 2023 Oct 3;2(10):pgad295. doi: 10.1093/pnasnexus/pgad295

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© The Author(s) 2023. Published by Oxford University Press on behalf of National Academy of Sciences.

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 reuse, distribution, and reproduction in any medium, provided the original work is properly cited.

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Fig. 3. — Outage duration versus the maximum number of affected customers for counties with low and high social vulnerability [a) socioeconomic vulnerability, b) household composition vulnerability, c) minority vulnerability, and d) housing type vulnerability] with local polynomial regression. Horizontal axis: log scale of the maximum number of affected customers in a county. Vertical axis: log scale of the outage duration. Blue: high social vulnerability counties. Red: low social vulnerability counties. The blue and red curves: local polynomial regression curves that show the relationship between the number of affected customers and the outage duration.