Evidence map›Paper›PMID 34774257›Full record

ArticleSpatial and spatio-temporal epidemiology2021

Spatial-temporal variations in community mobility during lockdown, unlock, and the second wave of COVID-19 in India: A data-based analysis using Google's community mobility reports.

Jay Saha, Sabbir Mondal, Pradip Chouhan

Abstract read
In one paragraph

Article in Spatial and spatio-temporal epidemiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

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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

3 authors.

Jay SahaDepartment of Geography, University of Gour Banga (UGB), Malda 732103, West Bengal, India. Electronic address: jsaha519@gmail.com.
Sabbir MondalDepartment of Geography, University of Gour Banga (UGB), Malda 732103, West Bengal, India. Electronic address: sabbirmondal143@gmail.com.
Pradip ChouhanDepartment of Geography, University of Gour Banga (UGB), Malda 732103, West Bengal, India. Electronic address: pradipchouhanmalda@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 has been altering all aspects of societal life including community mobility since December 2019. This study analyzes the spatial-temporal variations in human mobility patterns as the influence of COVID-19 during different periods at the state and union territory (UT) levels in India. From the spatial and temporal perspective, we find that change of mobility patterns and variations within states and UTs. The residential mobility has been increased because the mobility towards the home increased during the lockdown and the second wave but during the unlocking period reduced to some extent. There have spatial variations in mobility towards different places within states and UTs during the lockdown and second wave (lockdown to partial lockdown) but overall mobility towards different places like retail, parks, workplace, and transit stations have been reduced in India. During unlocking, mobility has been reduced all over the states and UTs in India but there have spatial-temporal variations within.

Indexed as

COVID-19Communicable Disease ControlHumansIndiaSARS-CoV-2Search EngineCommunity mobilityCOVID-19IndiaLockdownSecond waveSpatial-temporal analysisStringency indexUnlock

Identifiers

PMID34774257
PMCPMC9760334

What OpenQuestion holds

Textmetadata
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.