TY - GEN
T1 - Tribal Mobility and COVID-19
T2 - 22nd International Workshop on Mobile Computing Systems and Applications, HotMobile 2021
AU - Showalter, Esther
AU - Vigil-Hayes, Morgan
AU - Zegura, Ellen
AU - Sutton, Rich
AU - Belding, Elizabeth
N1 - Publisher Copyright:
© 2021 Owner/Author.
PY - 2021/2/24
Y1 - 2021/2/24
N2 - Tribal communities have experienced disproportionately high infection and death rates during the COVID-19 pandemic [1, 8, 31]. In this work, we examine COVID-19 case growth in proximity to significant tribal presence by providing a novel quantification of human mobility patterns across tribal boundaries and between urban and rural regions at the geographical resolution of census block groups. We use New Mexico as a case study due to its severe case infection rates; however, our methodologies generalize to other states. Results show that tribal mobility is uniquely high relative to baseline in counties with significant case counts. Furthermore, mobility patterns in tribal regions correlate more highly than any other region with case growth patterns in the surrounding county 13-16 days later. Our initial results present a quantification scheme for the underlying differences in human mobility between tribal/non-tribal and rural/urban regions with the goal of informing public health policy that meets the differing needs of these communities.
AB - Tribal communities have experienced disproportionately high infection and death rates during the COVID-19 pandemic [1, 8, 31]. In this work, we examine COVID-19 case growth in proximity to significant tribal presence by providing a novel quantification of human mobility patterns across tribal boundaries and between urban and rural regions at the geographical resolution of census block groups. We use New Mexico as a case study due to its severe case infection rates; however, our methodologies generalize to other states. Results show that tribal mobility is uniquely high relative to baseline in counties with significant case counts. Furthermore, mobility patterns in tribal regions correlate more highly than any other region with case growth patterns in the surrounding county 13-16 days later. Our initial results present a quantification scheme for the underlying differences in human mobility between tribal/non-tribal and rural/urban regions with the goal of informing public health policy that meets the differing needs of these communities.
KW - COVID-19
KW - crowdsourced datasets
KW - mobile device location
KW - mobility
KW - rural urban disparity
UR - http://www.scopus.com/inward/record.url?scp=85102026784&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85102026784&partnerID=8YFLogxK
U2 - 10.1145/3446382.3448654
DO - 10.1145/3446382.3448654
M3 - Conference contribution
AN - SCOPUS:85102026784
T3 - HotMobile 2021 - Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications
SP - 99
EP - 104
BT - HotMobile 2021 - Proceedings of the 22nd International Workshop on Mobile Computing Systems and Applications
PB - Association for Computing Machinery, Inc
Y2 - 24 February 2021 through 26 February 2021
ER -