Evidence map›Paper›PMID 33093497›Full record

ArticleScientific reports2020

Non-compulsory measures sufficiently reduced human mobility in Tokyo during the COVID-19 epidemic.

Takahiro Yabe, Kota Tsubouchi, Naoya Fujiwara, Takayuki Wada, Yoshihide Sekimoto, Satish V Ukkusuri

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 papers.

0numbers the graph read from it
0cells of the map it votes in
109citing papers in PubMed
60.4field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

109 citing papers in PubMed, 241 citations in OpenAlex.

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49 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors at 4 institutions in 2 countries.

Takahiro YabeLyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA.ORCID 0000-0001-8967-1967
Kota TsubouchiYahoo Japan Corporation, Tokyo, Japan.
Naoya FujiwaraGraduate School of Information Sciences, Tohoku University, Sendai, Japan.ORCID 0000-0002-7753-4698
Takayuki WadaGraduate School of Human Life Science, Osaka City University, Osaka, Japan.
Yoshihide SekimotoInstitute of Industrial Science, The University of Tokyo, Tokyo, Japan.
Satish V UkkusuriLyles School of Civil Engineering, Purdue University, West Lafayette, IN, USA. sukkusur@purdue.edu.ORCID 0000-0001-8754-9925
Purdue University West Lafayette · USOsaka City University · JPThe University of Tokyo · JPTohoku University · JP

Funding

National Science Foundation CMMI 1638311
6 · The paper itself

Abstract

While large scale mobility data has become a popular tool to monitor the mobility patterns during the COVID-19 pandemic, the impacts of non-compulsory measures in Tokyo, Japan on human mobility patterns has been under-studied. Here, we analyze the temporal changes in human mobility behavior, social contact rates, and their correlations with the transmissibility of COVID-19, using mobility data collected from more than 200K anonymized mobile phone users in Tokyo. The analysis concludes that by April 15th (1 week into state of emergency), human mobility behavior decreased by around 50%, resulting in a 70% reduction of social contacts in Tokyo, showing the strong relationships with non-compulsory measures. Furthermore, the reduction in data-driven human mobility metrics showed correlation with the decrease in estimated effective reproduction number of COVID-19 in Tokyo. Such empirical insights could inform policy makers on deciding sufficient levels of mobility reduction to contain the disease.

Indexed as

BehaviorBetacoronavirusCell Phone UseCoronavirus InfectionsCOVID-19HumansMovementPandemicsPneumonia, ViralSARS-CoV-2Time FactorsTokyo

Identifiers

PMID33093497
PMCPMC7581808
OpenAlexW3094133879

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.