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About:
Social distancing merely stabilized COVID‐19 in the US
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An Entity of Type :
schema:ScholarlyArticle
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covidontheweb.inria.fr
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Type:
Academic Article
research paper
schema:ScholarlyArticle
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Attributes
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type
Academic Article
research paper
schema:ScholarlyArticle
isDefinedBy
Covid-on-the-Web dataset
has title
Social distancing merely stabilized COVID‐19 in the US
Creator
David, |
Li, Dongmei
Deng, |
Hill, Elaine
Wu, |
Anand, Ajay
Ryan, Sean
Sun, Ziteng
Wagner, Aaron
Jayadev Acharya, |
Matteson, S
Sourbh Bhadane, |
Victor Hernandez Martinez, |
Source
Medline; PMC
abstract
Social distancing measures have been imposed across the US in order to stem the spread of COVID‐19. We quantify the reduction in doubling rate, by state, that is associated with this intervention. Using the earlier of K‐12 school closures and restaurant closures, by state, to define the start of the intervention, and considering daily confirmed cases through April 23rd, 2020, we find that social distancing is associated with a statistically‐significant (p < 0.01) reduction in the doubling rate for all states except for Nebraska, North Dakota, and South Dakota, when controlling for false discovery, with the doubling rate averaged across the states falling from 0.302 (0.285, 0.320) days(‐1) to 0.010 (‐0.007, 0.028) days(‐1). However, we do not find that social distancing has made the spread subcritical. Instead, social distancing has merely stabilized the spread of the disease. We provide an illustration of our findings for each state, including estimates of the effective reproduction number, R, both with and without social distancing. We also discuss the policy implications of our findings.
has issue date
2020-07-13
(
xsd:dateTime
)
bibo:doi
10.1002/sta4.302
bibo:pmid
32837718
has license
no-cc
sha1sum (hex)
ed1d3a013649db6c49cd50a8a5fd8a2dffe1a196
schema:url
https://doi.org/10.1002/sta4.302
resource representing a document's title
Social distancing merely stabilized COVID‐19 in the US
has PubMed Central identifier
PMC7404665
has PubMed identifier
32837718
schema:publication
Stat (Int Stat Inst)
resource representing a document's body
covid:ed1d3a013649db6c49cd50a8a5fd8a2dffe1a196#body_text
is
schema:about
of
named entity 'start'
named entity 'daily'
named entity 'implications'
named entity 'However'
named entity 'Social distancing'
named entity 'CASES'
named entity 'FINDINGS'
named entity 'social distancing'
named entity 'reduction'
named entity 'falling'
named entity 'reduction'
named entity 'stem'
named entity 'quantify'
named entity 'cases'
named entity 'stabilized'
named entity 'Social distancing measures'
named entity 'South Dakota'
named entity 'social distancing'
named entity 'COVID'
named entity 'social distancing'
named entity 'public health'
named entity 'serial interval'
named entity 'point estimate'
named entity 'significance level'
named entity '11.5'
named entity 'COVID'
named entity 'Montana'
named entity 'California'
named entity 'COVID'
named entity 'Hawaii'
named entity 'social distancing'
named entity 'social distancing'
named entity 'indicator function'
named entity 'South Dakota'
named entity 'virus'
named entity 'algorithm'
named entity 'order of magnitude'
named entity 'exponential growth'
named entity 'exponential increase'
named entity 'community spread'
named entity 'sample size'
named entity 'Lotka'
named entity 'statistically-significant'
named entity 'COVID'
named entity 'SARS-CoV-2'
named entity 'social distancing'
named entity 'i.i.d'
named entity 'predictive models'
named entity 'New York State'
named entity 'Maidstone'
named entity 'p-values'
named entity 'sampling bias'
named entity 'New York'
named entity 'Student's t distribution'
named entity '0.01'
named entity 'supercriticality'
named entity 'social distancing'
named entity 'Georgia'
named entity 'variance'
named entity 'COVID-19'
named entity 'New York State'
named entity 't-test'
named entity 'social distancing'
named entity 'Gaussian noise'
named entity 'multiple testing'
named entity 'South Carolina'
named entity 'COVID'
named entity 'Euler equation'
named entity 'serial interval'
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