Evidence map›Paper›PMID 33540130›Full record

ArticleInternational journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases2021

Parallel trends in the transmission of SARS-CoV-2 and retail/recreation and public transport mobility during non-lockdown periods.

Bernard Cazelles, Catherine Comiskey, Benjamin Nguyen-Van-Yen, Clara Champagne, Benjamin Roche

Open access · goldAbstract read
In one paragraph

Article in International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.5field-weighted citation impact, top 19% 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

11 citing papers in PubMed, 16 citations in OpenAlex.

  1. Article
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  4. Review
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  6. Predicting the effective reproduction number of COVID-19: inference using human mobility, temperature, and risk awareness.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Article
  7. Predicting COVID-19 incidence in French hospitals using human contact network analytics.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2021
    Article
  8. Article
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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

5 authors at 5 institutions in 3 countries.

Bernard CazellesUMMISCO, Sorbonne Université, Paris, France; Eco-Evolution Mathématique, IBENS, UMR 8197, CNRS, Ecole Normale Supérieure, Paris, France. Electronic address: cazelles@bologie.ens.fr.
Catherine ComiskeySchool of Nursing and Midwifery, Trinity College Dublin, University of Dublin, Dublin, Ireland.
Benjamin Nguyen-Van-YenEco-Evolution Mathématique, IBENS, UMR 8197, CNRS, Ecole Normale Supérieure, Paris, France; Institut Pasteur, Unité de Génétique Fonctionnelle des Maladies Infectieuses, Paris, France.
Clara ChampagneSwiss Tropical and Public Health Institute, Basel, Switzerland; University of Basel, Basel, Switzerland.
Benjamin RocheMIVEGEC, IRD, CNRS and Université de Montpellier, Montpellier, France.
Centre National de la Recherche Scientifique · FRHuman Genetic of Infectious Diseases · FRSwiss Tropical and Public Health Institute · CHTrinity College Dublin · IEUnité de Modélisation Mathématique et Informatique des Systèmes Complexes · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent literature strongly supports the hypothesis that mobility restriction and social distancing play a crucial role in limiting the transmission of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). During the first wave of the coronavirus disease 2019 (COVID-19) pandemic, it was shown that mobility restriction reduced transmission significantly. This study found that, in the period between the first two waves of the COVID-19 pandemic, there was high positive correlation between trends in the transmission of SARS-CoV-2 and mobility. These two trends oscillated simultaneously, and increased mobility following the relaxation of lockdown rules was significantly associated with increased transmission. From a public health perspective, these results highlight the importance of tracking changes in mobility when relaxing mitigation measures in order to anticipate future changes in the spread of SARS-CoV-2.

Indexed as

SARS-CoV-2Basic Reproduction NumberCOVID-19HumansPublic HealthQuarantineRecreationTravelEffective reproduction numberMobilitySARS-Cov-2Transmission

Identifiers

PMID33540130
PMCPMC7849485
OpenAlexW3129024893

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.