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Do regionally targeted lockdowns alter movement to non-lockdown regions? Evidence from Ontario, Canada


Posted: 2021-09-22 19:00:00
Health Place . 2021 Sep 18;102668. doi: 10.1016/j.healthplace.2021.102668. Online ahead of print. Affiliations Expand Affiliations 1 Department of Geography & Environment, Western University, London, Ontario, Canada. Electronic address: jed.long@uwo.ca. 2 Department of Geography & Environment, Western University, London, Ontario, Canada. 3 Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Item in Clipboard Jed A Long et al. Health Place. 2021. Show details Display options Display options Format Health Place . 2021 Sep 18;102668. doi: 10.1016/j.healthplace.2021.102668. Online ahead of print. Affiliations 1 Department of Geography & Environment, Western University, London, Ontario, Canada. Electronic address: jed.long@uwo.ca. 2 Department of Geography & Environment, Western University, London, Ontario, Canada. 3 Faculty of Health Disciplines, Athabasca University, Athabasca, Alberta, Canada. Item in Clipboard CiteDisplay options Display options Format Abstract Regionally targeted interventions are being used by governments to slow the spread of COVID-19. In areas where free movement is not being actively restricted, there is uncertainty about how effective such regionally targeted interventions are due to the free movement of people between regions. We use mobile-phone network mobility data to test two hypotheses: 1) do regions targeted by exhibit increased outflows into other regions and 2) do regions targeted by interventions increase outflows specifically into areas with lesser restrictions. Our analysis focuses on two well-defined regionally targeted interventions in Ontario, Canada the first intervention as the first wave subsided (July 17, 2020) and the second intervention as we entered into new restrictions during the onset of the second wave (November 23, 2020). We use a difference-in-difference model to investigate hypothesis 1 and an interrupted time series model to investigate hypothesis 2, controlling for spatial effects (using a spatial-error model) in both cases. Our findings suggest that there that the regionally targeted interventions had a neutral effect (or no effect) on inter-regional mobility, with no significant differences associated with the interventions. We also found that overall inter-regional mobility was associated with socio-economic factors and the distance to the boundary of the intervention region. These findings are important as they should guide how governments design regionally targeted interventions (from a geographical perspective) considering observed patterns of mobility. Keywords: Covid-19; Flows; Interrupted time-series; Mobility; Regional intervention; difference-in-difference. Copyright © 2021 The Authors. Published by Elsevier Ltd.. All rights reserved. [x] Cite Copy Format: Send To [x]

参考サイト PubMed: covid-19



バイオクイックニュース日本語版:COVID-19特集

バイオクイックニュース日本語版
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