Be sure to check out this publication by @Jueyu_Wang_UNC_Chapel_Hill, Noreen McDonald, Lindsey Oluyede, Mary Wolfe, and Lauren Prunkl titled Health care visits during the COVID-19 pandemic: A spatial and temporal analysis of mobile device data. You can read the full paper here!
They used SafeGraph data to explore temporal patterns of visits to health care POI’s and how these patterns are associated with demographic and spatial characteristics at a census block group level in North Carolina. Two key findings were:
(1) CBGs with higher percentages of elderly persons, minorities, low-income individuals, and people without vehicle access had lower use of health care before the pandemic and experienced a slower recovery in medical visits after the lockdown
(2) CBGs in the central areas of large metropolitans or with higher population density tend to have a slow recovery of health care visits.
The COVID-19 pandemic has been found to exacerbate already-existing disparities in a number of fields, and this work suggests health care access is no different. Among other suggestions, the paper offers motivation for further adoption of tele-medicine solutions, even in non-pandemic times.
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