Evidence map›Paper›PMID 36880190›Full record

ArticleeLife2023

Reducing societal impacts of SARS-CoV-2 interventions through subnational implementation.

Mark M Dekker, Luc E Coffeng, Frank P Pijpers, Debabrata Panja, Sake J de Vlas

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Article in eLife, 2023. 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
–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

11 citing papers in PubMed.

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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.

Mark M DekkerDepartment of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands.ORCID 0000-0002-3543-6889
Luc E CoffengDepartment of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-4425-2264
Frank P PijpersStatistics Netherlands, The Hague, Netherlands.ORCID 0000-0001-7572-9435
Debabrata Panja *Department of Information and Computing Sciences, Utrecht University, Utrecht, Netherlands.ORCID 0000-0003-2141-9735
Sake J de Vlas *Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands.ORCID 0000-0002-1830-5668

Funding

ZonMw 10430022010001
6 · The paper itself

Abstract

To curb the initial spread of SARS-CoV-2, many countries relied on nation-wide implementation of non-pharmaceutical intervention measures, resulting in substantial socio-economic impacts. Potentially, subnational implementations might have had less of a societal impact, but comparable epidemiological impact. Here, using the first COVID-19 wave in the Netherlands as a case in point, we address this issue by developing a high-resolution analysis framework that uses a demographically stratified population and a spatially explicit, dynamic, individual contact-pattern based epidemiology, calibrated to hospital admissions data and mobility trends extracted from mobile phone signals and Google. We demonstrate how a subnational approach could achieve similar level of epidemiological control in terms of hospital admissions, while some parts of the country could stay open for a longer period. Our framework is exportable to other countries and settings, and may be used to develop policies on subnational approach as a better strategic choice for controlling future epidemics.

Indexed as

COVID-19EpidemicsHumansNetherlandsPolicySARS-CoV-2epidemiological modellingepidemiologyglobal healthinterventionsnoneSARS-CoV-2

Identifiers

PMID36880190
PMCPMC10023153

What OpenQuestion holds

Textfull text, public
LicenceCC BY
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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.