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Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates

As many jurisdictions consider in-person learning strategies (including at Institutions of Higher Education, IHE), implementing travel restrictions or quarantines, and/or establishing interstate pacts to reduce COVID-19 spread, this study explores the degree to which COVID-19 case infection rates in...

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Autor principal: Robinson, Samantha
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426435/
https://www.ncbi.nlm.nih.gov/pubmed/34513777
http://dx.doi.org/10.3389/fpubh.2021.647441
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author Robinson, Samantha
author_facet Robinson, Samantha
author_sort Robinson, Samantha
collection PubMed
description As many jurisdictions consider in-person learning strategies (including at Institutions of Higher Education, IHE), implementing travel restrictions or quarantines, and/or establishing interstate pacts to reduce COVID-19 spread, this study explores the degree to which COVID-19 case infection rates in a group of neighboring, Southern and Midwestern U.S. states (namely, Arkansas and its contiguous neighbors) are patterned in a non-random way known as synchrony. Utilizing surrogate synchrony (SUSY) to estimate the dyadic coupling between the COVID-19 case infection rate processes in this region from March to December 2020, results indicate that significant synchrony is present between Arkansas and three of its neighbors. The highest level of instantaneous synchrony occurs between Arkansas and Tennessee, with the next highest level occurring between Arkansas and Missouri. There is evidence of directionality in the synchrony, indicating that Arkansas case infection rates lead Mississippi while rates in Missouri and Tennessee lead Arkansas. The lagged cross-correlations suggest the greatest synchrony to occur between 3 and 6 days. To explore the effect of IHE reopening on COVID-19, synchrony is compared between pre- and post-reopening windows. Results suggested that, following reopening, there are gains in detectable synchrony and that COVID-19 is in-flowing to Arkansas from all of its neighboring states. Taken together, results suggest that there is spatiality to COVID-19 with neighboring states having case infection rates that are significantly synchronous at a lag time that would be expected based on symptom onset. This synchrony is potentially strengthened by the in-flow and cross-border movement of IHE students.
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spelling pubmed-84264352021-09-10 Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates Robinson, Samantha Front Public Health Public Health As many jurisdictions consider in-person learning strategies (including at Institutions of Higher Education, IHE), implementing travel restrictions or quarantines, and/or establishing interstate pacts to reduce COVID-19 spread, this study explores the degree to which COVID-19 case infection rates in a group of neighboring, Southern and Midwestern U.S. states (namely, Arkansas and its contiguous neighbors) are patterned in a non-random way known as synchrony. Utilizing surrogate synchrony (SUSY) to estimate the dyadic coupling between the COVID-19 case infection rate processes in this region from March to December 2020, results indicate that significant synchrony is present between Arkansas and three of its neighbors. The highest level of instantaneous synchrony occurs between Arkansas and Tennessee, with the next highest level occurring between Arkansas and Missouri. There is evidence of directionality in the synchrony, indicating that Arkansas case infection rates lead Mississippi while rates in Missouri and Tennessee lead Arkansas. The lagged cross-correlations suggest the greatest synchrony to occur between 3 and 6 days. To explore the effect of IHE reopening on COVID-19, synchrony is compared between pre- and post-reopening windows. Results suggested that, following reopening, there are gains in detectable synchrony and that COVID-19 is in-flowing to Arkansas from all of its neighboring states. Taken together, results suggest that there is spatiality to COVID-19 with neighboring states having case infection rates that are significantly synchronous at a lag time that would be expected based on symptom onset. This synchrony is potentially strengthened by the in-flow and cross-border movement of IHE students. Frontiers Media S.A. 2021-08-26 /pmc/articles/PMC8426435/ /pubmed/34513777 http://dx.doi.org/10.3389/fpubh.2021.647441 Text en Copyright © 2021 Robinson. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Public Health
Robinson, Samantha
Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates
title Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates
title_full Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates
title_fullStr Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates
title_full_unstemmed Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates
title_short Regional COVID-19 Dynamics: Surrogate Synchrony in Case Infection Rates
title_sort regional covid-19 dynamics: surrogate synchrony in case infection rates
topic Public Health
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8426435/
https://www.ncbi.nlm.nih.gov/pubmed/34513777
http://dx.doi.org/10.3389/fpubh.2021.647441
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