Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social Distancing
In the face of elevated pandemic risk, canonical epidemiological models imply the need for extreme social distancing over a prolonged period. Alternatively, people could be organized into zones, with more interactions inside their zone than across zones. Zones can deliver significantly lower infecti...
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Frontiers Media S.A.
2020-06-01
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| Series: | Frontiers in Public Health |
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| Online Access: | https://www.frontiersin.org/article/10.3389/fpubh.2020.00266/full |
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doaj-4fb842b6e2eb4801995aee7c3e0f85222020-11-25T03:41:05ZengFrontiers Media S.A.Frontiers in Public Health2296-25652020-06-01810.3389/fpubh.2020.00266558692Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social DistancingEric Friedman0Eric Friedman1John Friedman2John Friedman3Simon Johnson4Simon Johnson5Adam Landsberg6Adam Landsberg7Adam Landsberg8Adam Landsberg9International Computer Science Institute and Department of IEOR, University of California, Berkeley, Berkeley, CA, United StatesCOVID-19 Policy Alliance, Cambridge, MA, United StatesCOVID-19 Policy Alliance, Cambridge, MA, United StatesDepartment of Statistics, UC Berkeley, Berkeley, CA, United StatesCOVID-19 Policy Alliance, Cambridge, MA, United StatesSloan School of Management, MIT, Cambridge, MA, United StatesCOVID-19 Policy Alliance, Cambridge, MA, United StatesW.M. Keck Science Department, Claremont McKenna College, Claremont, CA, United StatesW.M. Keck Science Department, Pitzer College, Claremont, CA, United StatesW.M. Keck Science Department, Scripps College, Claremont, CA, United StatesIn the face of elevated pandemic risk, canonical epidemiological models imply the need for extreme social distancing over a prolonged period. Alternatively, people could be organized into zones, with more interactions inside their zone than across zones. Zones can deliver significantly lower infection rates, with less social distancing, particularly if combined with simple quarantine rules and contact tracing. This paper provides a framework for understanding and evaluating the implications of zones, quarantines, and other complementary policies.https://www.frontiersin.org/article/10.3389/fpubh.2020.00266/fullcovid-19zonesreproductive numbernetworkssocial distancing measuresSIR (Susceptible Infected-Recovered) model |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Eric Friedman Eric Friedman John Friedman John Friedman Simon Johnson Simon Johnson Adam Landsberg Adam Landsberg Adam Landsberg Adam Landsberg |
| spellingShingle |
Eric Friedman Eric Friedman John Friedman John Friedman Simon Johnson Simon Johnson Adam Landsberg Adam Landsberg Adam Landsberg Adam Landsberg Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social Distancing Frontiers in Public Health covid-19 zones reproductive number networks social distancing measures SIR (Susceptible Infected-Recovered) model |
| author_facet |
Eric Friedman Eric Friedman John Friedman John Friedman Simon Johnson Simon Johnson Adam Landsberg Adam Landsberg Adam Landsberg Adam Landsberg |
| author_sort |
Eric Friedman |
| title |
Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social Distancing |
| title_short |
Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social Distancing |
| title_full |
Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social Distancing |
| title_fullStr |
Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social Distancing |
| title_full_unstemmed |
Transitioning Out of the Coronavirus Lockdown: A Framework for Evaluating Zone-Based Social Distancing |
| title_sort |
transitioning out of the coronavirus lockdown: a framework for evaluating zone-based social distancing |
| publisher |
Frontiers Media S.A. |
| series |
Frontiers in Public Health |
| issn |
2296-2565 |
| publishDate |
2020-06-01 |
| description |
In the face of elevated pandemic risk, canonical epidemiological models imply the need for extreme social distancing over a prolonged period. Alternatively, people could be organized into zones, with more interactions inside their zone than across zones. Zones can deliver significantly lower infection rates, with less social distancing, particularly if combined with simple quarantine rules and contact tracing. This paper provides a framework for understanding and evaluating the implications of zones, quarantines, and other complementary policies. |
| topic |
covid-19 zones reproductive number networks social distancing measures SIR (Susceptible Infected-Recovered) model |
| url |
https://www.frontiersin.org/article/10.3389/fpubh.2020.00266/full |
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