Evidence map›Paper›PMID 33481803›Full record

ArticlePloS one2021

Lessons from movement ecology for the return to work: Modeling contacts and the spread of COVID-19.

Allison K Shaw, Lauren A White, Matthew Michalska-Smith, Elizabeth T Borer, Meggan E Craft, Eric W Seabloom, Emilie C Snell-Rood, Michael Travisano

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.1field-weighted citation impact, top 25% 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

4 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Decision analysis support for evaluating transmission risk of COVID-19 in places where people gather.Canada communicable disease report = Releve des maladies transmissibles au Canada · 2021
    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

8 authors at 2 institutions in 1 country.

Allison K ShawDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, United States of America.ORCID 0000-0001-7969-8365
Lauren A WhiteNational Socio-Environmental Synthesis Center, Annapolis, Maryland, United States of America.ORCID 0000-0003-3852-5374
Matthew Michalska-SmithDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, United States of America.
Elizabeth T BorerDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, United States of America.
Meggan E CraftDepartment of Veterinary Population Medicine, University of Minnesota, St. Paul, Minnesota, United States of America.
Eric W SeabloomDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, United States of America.
Emilie C Snell-RoodDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, United States of America.
Michael TravisanoDepartment of Ecology, Evolution, and Behavior, University of Minnesota, St. Paul, Minnesota, United States of America.
University of Minnesota · USNational Socio-Environmental Synthesis Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Human behavior (movement, social contacts) plays a central role in the spread of pathogens like SARS-CoV-2. The rapid spread of SARS-CoV-2 was driven by global human movement, and initial lockdown measures aimed to localize movement and contact in order to slow spread. Thus, movement and contact patterns need to be explicitly considered when making reopening decisions, especially regarding return to work. Here, as a case study, we consider the initial stages of resuming research at a large research university, using approaches from movement ecology and contact network epidemiology. First, we develop a dynamical pathogen model describing movement between home and work; we show that limiting social contact, via reduced people or reduced time in the workplace are fairly equivalent strategies to slow pathogen spread. Second, we develop a model based on spatial contact patterns within a specific office and lab building on campus; we show that restricting on-campus activities to labs (rather than labs and offices) could dramatically alter (modularize) contact network structure and thus, potentially reduce pathogen spread by providing a workplace mechanism to reduce contact. Here we argue that explicitly accounting for human movement and contact behavior in the workplace can provide additional strategies to slow pathogen spread that can be used in conjunction with ongoing public health efforts.

Indexed as

Contact TracingReturn to WorkCommunicable Disease ControlComputer SimulationCOVID-19HumansModels, BiologicalMovementSocial InteractionSocial Network AnalysisTransportationWorkplace

Identifiers

PMID33481803
PMCPMC7822505
OpenAlexW3126070905

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.