Evidence map›Paper›PMID 40479275›Full record

ArticleRegional science policy & practice2022

Spatial mobility patterns and COVID-19 incidence: A regional analysis of the second wave in the Netherlands.

Bart Roelofs, Dimitris Ballas, Hinke Haisma, Arjen Edzes

Abstract read
In one paragraph

Article in Regional science policy & practice, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
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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

4 authors.

Bart RoelofsDepartment of Economic Geography, Faculty of Spatial Sciences University of Groningen the Netherlands.ORCID https://orcid.org/0000-0003-2635-3181
Dimitris BallasDepartment of Economic Geography, Faculty of Spatial Sciences University of Groningen the Netherlands.ORCID https://orcid.org/0000-0003-4955-850X
Hinke HaismaPopulation Research Centre, Faculty of Spatial Sciences University of Groningen the Netherlands.ORCID https://orcid.org/0000-0002-9676-0463
Arjen EdzesDepartment of Economic Geography, Faculty of Spatial Sciences, University of Groningen, and School of Law Hanze University of Applied Sciences Groningen the Netherlands.ORCID https://orcid.org/0000-0002-1471-6961

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A key policy measure introduced by governments worldwide at the beginning of the coronavirus disease 2019 (COVID-19) pandemic was to restrict travel, highlighting the importance of people's mobility as one of the key contributors to spreading severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). However, there was little consistency regarding the geographical scale or the severity of these measures. Little use was made of commuting and travel data to inform decisions on when, where and at what level restrictions should be applied. We aim to contribute to regional policy by providing evidence that could be used to inform future policy debates on the most effective travel restrictions to impose during a pandemic. We present an analysis of the impact of mobility between municipalities on COVID-19 incidence in the Netherlands. We used multiple linear regression models and geographical information systems to gain insight into the association between mobility-related factors and demographic, socio-economic and geographical factors with COVID-19 incidence in municipalities. Our results indicate that spatial mobility patterns, when combined with COVID-19 incidence in municipalities of origin, were associated with increased COVID-19 incidence in municipalities of destination. In addition, various regional characteristics were associated with municipal incidence. By conducting our analyses over three different periods, we highlight the importance of time for COVID-19 incidence. In the light of ongoing mitigation measures (and possible future events), spatial mobility patterns should be a key factor in exploring regional mobility restrictions as an alternative for national lockdowns.

Indexed as

coronavirusCOVID‐19demographymobilityspatial analysis

Identifiers

PMID40479275
PMCPMC9539347

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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.