About: Quantifying the impacts of human mobility restriction on the spread of COVID-19: an empirical analysis from 344 cities of China

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

About: Quantifying the impacts of human mobility restriction on the spread of COVID-19: an empirical analysis from 344 cities of China 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	Quantifying the impacts of human mobility restriction on the spread of COVID-19: an empirical analysis from 344 cities of China
Creator	Lu, Xin Sun, Xin Thabane, Lehana Li, Weimin Tan, Jing »more»
source	MedRxiv
abstract	Abstract Objective Since the outbreak of novel coronavirus pneumonia (COVID-19), human mobility restriction measures have raised controversies, partly due to inconsistent findings. Empirical study is urgently needed to reliably assess the causal effects of mobility restriction. Methods Our study applied the difference-in-difference (DID) model to assess declines of population mobility at the city level, and used the log-log regression model to examine the effects of population mobility declines on the disease spread measured by cumulative or new cases of COVID-19 over time, after adjusting for confounders. Results The DID model showed that a continual expansion of the relative declines over time in 2020. After four weeks, population mobility declined by 54.81% (interquartile ranges, -65.50% to -43.56%). The accrued population mobility declines were associated with significant reduction of cumulative COVID-19 cases throughout six weeks (i.e., 1% decline of population mobility was associated with 0.72% (95%CI 0.50% to 0.93%) reduce of cumulative cases for one week, 1.42% two weeks, 1.69% three weeks, 1.72% four weeks,1.64% five weeks and 1.52% six weeks). The impact on weekly new cases seemed greater in the first four weeks, but faded thereafter. The effects on cumulative cases differed by cities of different population sizes, with greater effects seen in larger cities. Conclusion Persistent population mobility restrictions are well deserved. However, a change in the degree of mobility restriction may be warranted over time, particularly after several weeks of rigorous mobility restriction. Implementation of mobility restrictions in major cities with large population sizes may be even more important.
has issue date	2020-07-15(xsd:dateTime)
bibo:doi	10.1101/2020.07.13.20148668
has license	medrxiv
sha1sum (hex)	1d58188acec6b06b4cdf6ebf41a0948b18cd4b7d
schema:url	https://doi.org/10.1101/2020.07.13.20148668
resource representing a document's title	Quantifying the impacts of human mobility restriction on the spread of COVID-19: an empirical analysis from 344 cities of China
resource representing a document's body	covid:1d58188acec6b06b4cdf6ebf41a0948b18cd4b7d#body_text
is schema:about of	named entity 'restriction' named entity 'Objective' named entity 'degree' named entity 'weeks' named entity 'city' »more»

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