Evidence map›Paper›PMID 36962568›Full record

ArticlePLOS global public health2022

Spatial changes in park visitation at the onset of the pandemic.

Kelsey Linnell, Mikaela Irene Fudolig, Aaron Schwartz, Taylor H Ricketts, Jarlath P M O'Neil-Dunne, Peter Sheridan Dodds, Christopher M Danforth

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Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Kelsey LinnellVermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.ORCID https://orcid.org/0000-0001-5724-0900
Mikaela Irene FudoligVermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.ORCID https://orcid.org/0000-0002-8960-9116
Aaron SchwartzGund Institute for Environment, University of Vermont, Burlington, VT, United States of America.
Taylor H RickettsGund Institute for Environment, University of Vermont, Burlington, VT, United States of America.
Jarlath P M O'Neil-DunneSpatial Analysis Laboratory, University of Vermont, Burlington, VT, United States of America.
Peter Sheridan DoddsVermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.
Christopher M DanforthVermont Complex Systems Center, University of Vermont, Burlington, VT, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The COVID-19 pandemic disrupted the mobility patterns of a majority of Americans beginning in March 2020. Despite the beneficial, socially distanced activity offered by outdoor recreation, confusing and contradictory public health messaging complicated access to natural spaces. Working with a dataset comprising the locations of roughly 50 million distinct mobile devices in 2019 and 2020, we analyze weekly visitation patterns for 8,135 parks across the United States. Using Bayesian inference, we identify regions that experienced a substantial change in visitation in the first few weeks of the pandemic. We find that regions that did not exhibit a change were likely to have smaller populations, and to have voted more republican than democrat in the 2020 elections. Our study contributes to a growing body of literature using passive observations to explore who benefits from access to nature.

Identifiers

PMID36962568
PMCPMC10021367

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LicenceCC BY
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identifiers read5
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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.