Fig 1.
Data processing and methodology framework.
Reprinted from [34, 36] under a CC BY license, with permission from Zhang L et al., original copyright 2020.
Table 1.
A Summary of metrics adapted from the COVID-19 Impact Analysis Platform.
Fig 2.
National trends on mobility measurements.
Fig 3.
Statewide trends on the percentage of people staying home.
Fig 4.
Statewide trends on miles traveled per person.
Fig 5.
Temporal variations on the percentage of people staying home for all states.
Fig 6.
Statewide variations on the percentage of people staying at home by two timelines.
(a) Percentage of people staying home between the first confirmed case and stay-at-home order (upper); (b) Percentage of people staying home after the stay-at-home order (lower).
Fig 7.
A statewide spatiotemporal comparison.
(a) Percentage of people staying home by median income order (upper); (b) Miles traveled per person by population density order (lower).
Fig 8.
Groupwise mobility pattern comparison.
(a) Median income groups (left); (b) Population density groups (right).
Fig 9.
Weekly statewide teleworking trends for employees.