Evidence map›Paper›PMID 33449276›Full record

ArticleBiomechanics and modeling in mechanobiology2021

Global and local mobility as a barometer for COVID-19 dynamics.

Kevin Linka, Alain Goriely, Ellen Kuhl

Abstract read
In one paragraph

Article in Biomechanics and modeling in mechanobiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Article
  2. COVID-19 pandemic and minority health disparities in New York City: A spatial and temporal perspective.Environment and planning. B, urban analytics and city science · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Ethical Attitudes toward COVID-19 Passports: Evidences from Spain.International journal of environmental research and public health · 2021
    Article
  12. Article
  13. Article
  14. Article
  15. Effects of B.1.1.7 and B.1.351 on COVID-19 Dynamics: A Campus Reopening Study.Archives of computational methods in engineering : state of the art reviews · 2021
    Article
  16. Observational
  17. Article
  18. Data-driven modeling of COVID-19-Lessons learned.Extreme Mechanics Letters · 2020
    Review
  19. Article
  20. Is it safe to lift COVID-19 travel bans? The Newfoundland story.medRxiv : the preprint server for health sciences · 2020
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Kevin LinkaDepartment of Mechanical Engineering, Stanford University, Stanford, California, USA.
Alain GorielyMathematical Institute, University of Oxford, Oxford, UK.
Ellen KuhlDepartment of Mechanical Engineering, Stanford University, Stanford, California, USA. ekuhl@stanford.edu.ORCID http://orcid.org/0000-0002-6283-935X

Funding

Multi-Scale Laws of Myocardial Growth and RemodelingU01HL119578 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GUCCIONE, JULIUS MATTEO, KASSAB, GHASSAN S · 2014 to 2018
$3.8M
Engineering and Physical Sciences Research Council EP/R020205/1NHLBI NIH HHS U01 HL119578NIH HHS U01 HL119578
6 · The paper itself

Abstract

The spreading of infectious diseases including COVID-19 depends on human interactions. In an environment where behavioral patterns and physical contacts are constantly evolving according to new governmental regulations, measuring these interactions is a major challenge. Mobility has emerged as an indicator for human activity and, implicitly, for human interactions. Here, we study the coupling between mobility and COVID-19 dynamics and show that variations in global air traffic and local driving mobility can be used to stratify different disease phases. For ten European countries, our study shows a maximal correlation between driving mobility and disease dynamics with a time lag of [Formula: see text] days. Our findings suggest that trends in local mobility allow us to forecast the outbreak dynamics of COVID-19 for a window of two weeks and adjust local control strategies in real time.

Indexed as

Automobile DrivingDisease OutbreaksPandemicsTravelBasic Reproduction NumberBayes TheoremCommunicable Disease ControlComputer SimulationCOVID-19EuropeGeographic Information SystemsGlobal HealthHealth ResourcesHumansMarkov ChainsSocial LearningCoronavirusCOVID-19Epidemiology modelingNetwork modelSEIR model

Identifiers

PMID33449276
PMCPMC7809648

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.