[HTML][HTML] Health care visits during the COVID-19 pandemic: A spatial and temporal analysis of mobile device data
Transportation disruptions caused by COVID-19 have exacerbated difficulties in health care
delivery and access, which may lead to changes in health care use. This study uses mobile
device data from SafeGraph to explore the temporal patterns of visits to health care points of
interest (POIs) during 2020 and examines how these patterns are associated with socio-
demographic and spatial characteristics at the Census Block Group level in North Carolina.
Specifically, using the K-medoid time-series clustering method, we identify three distinct …
delivery and access, which may lead to changes in health care use. This study uses mobile
device data from SafeGraph to explore the temporal patterns of visits to health care points of
interest (POIs) during 2020 and examines how these patterns are associated with socio-
demographic and spatial characteristics at the Census Block Group level in North Carolina.
Specifically, using the K-medoid time-series clustering method, we identify three distinct …
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