About: The effect of social distance measures on COVID-19 epidemics in Europe: an interrupted time series analysis

Facets (new session)
Description
Metadata
Settings
- owl:sameAs
- Inference Rule:

About: The effect of social distance measures on COVID-19 epidemics in Europe: an interrupted time series analysis Goto Sponge NotDistinct Permalink

An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	The effect of social distance measures on COVID-19 epidemics in Europe: an interrupted time series analysis
Creator	Vokó, Zoltán János, & Pitter, György
source	Medline; PMC
abstract	Following the introduction of unprecedented “stay-at-home” national policies, the COVID-19 pandemic recently started declining in Europe. Our research aims were to characterize the changepoint in the flow of the COVID-19 epidemic in each European country and to evaluate the association of the level of social distancing with the observed decline in the national epidemics. Interrupted time series analyses were conducted in 28 European countries. Social distance index was calculated based on Google Community Mobility Reports. Changepoints were estimated by threshold regression, national findings were analyzed by Poisson regression, and the effect of social distancing in mixed effects Poisson regression model. Our findings identified the most probable changepoints in 28 European countries. Before changepoint, incidence of new COVID-19 cases grew by 24% per day on average. From the changepoint, this growth rate was reduced to 0.9%, 0.3% increase, and to 0.7% and 1.7% decrease by increasing social distancing quartiles. The beneficial effect of higher social distance quartiles (i.e., turning the increase into decline) was statistically significant for the fourth quartile. Notably, many countries in lower quartiles also achieved a flat epidemic curve. In these countries, other plausible COVID-19 containment measures could contribute to controlling the first wave of the disease. The association of social distance quartiles with viral spread could also be hindered by local bottlenecks in infection control. Our results allow for moderate optimism related to the gradual lifting of social distance measures in the general population, and call for specific attention to the protection of focal micro-societies enriching high-risk elderly subjects, including nursing homes and chronic care facilities.
has issue date	2020-06-11(xsd:dateTime)
bibo:doi	10.1007/s11357-020-00205-0
bibo:pmid	32529592
has license	cc-by
sha1sum (hex)	18d111a209f68e657e5010c96b571ead49908083
schema:url	https://doi.org/10.1007/s11357-020-00205-0
resource representing a document's title	The effect of social distance measures on COVID-19 epidemics in Europe: an interrupted time series analysis
has PubMed Central identifier	PMC7288252
has PubMed identifier	32529592
schema:publication	GeroScience
resource representing a document's body	covid:18d111a209f68e657e5010c96b571ead49908083#body_text
is schema:about of	named entity 'disease' named entity 'distance measures' named entity 'LOWER' named entity 'FOCAL' named entity 'INTRODUCTION' named entity 'SOCIETIES' named entity 'EFFECT' named entity 'EUROPEAN COUNTRY' named entity 'MIXED' named entity 'THESE' named entity '0.7' named entity 'MICRO-' named entity 'GENERAL POPULATION' named entity '1.7' named entity '28I' named entity 'CONTAINMENT' named entity 'CHRONIC CARE' named entity 'NURSING HOMES' named entity 'Interrupted time series' named entity 'elderly' named entity 'subjects' named entity 'decline' named entity 'probable' named entity 'Before' named entity 'decline' named entity 'Poisson regression' named entity 'distance measures' named entity 'cases' named entity 'Our' named entity 'Social distance' named entity 'quartiles' named entity 'statistically' named entity 'Europe' named entity 'social distance' named entity 'social distancing' named entity 'epidemic curve' named entity 'general population' named entity 'social distancing' named entity 'distance measures' named entity 'epidemic curve' named entity 'COVID-19' named entity 'linear regression' named entity 'incidence rate' named entity 'April 2020' named entity 'social distance' named entity 'Creative Commons licence' named entity 'high-risk' named entity 'European Union' named entity 'Belgium' named entity 'COVID-19 pandemic' named entity 'European Centre for Disease Prevention and Control' named entity 'death rates' named entity 'STATA' named entity 'COVID-19' named entity 'Latvia' named entity 'Centers for Disease control and Prevention' named entity 'Finland' named entity 'COVID-19' named entity 'Bulgaria' named entity 'SARS-CoV-2' named entity 'epidemic' named entity 'homoscedastic' named entity 'Luxembourg' named entity 'self-isolation' named entity 'European Commission' named entity 'Imperial College COVID-19 Response Team' named entity 'Lithuania' named entity 'chronic care' named entity 'Germany' named entity 'Poisson regression' named entity 'stay-at-home' named entity 'public transport' named entity 'STATA' named entity 'epidemics' named entity 'social distancing' named entity 'European Commission' named entity 'care facilities' named entity 'Semmelweis University' named entity 'calendar days'

Faceted Search & Find service v1.13.91 as of Mar 24 2020

Alternative Linked Data Documents: Sponger | ODE Content Formats:

RDF

ODATA

Microdata

About

OpenLink Virtuoso version 07.20.3229 as of Jul 10 2020, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (94 GB total memory)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2025 OpenLink Software