Evidence map›Paper›PMID 34425136›Full record

ArticleJournal of theoretical biology2021

Modelling COVID-19 dynamics and potential for herd immunity by vaccination in Austria, Luxembourg and Sweden.

Françoise Kemp, Daniele Proverbio, Atte Aalto, Laurent Mombaerts, Aymeric Fouquier d'Hérouël, Andreas Husch, Christophe Ley, Jorge Gonçalves, Alexander Skupin, Stefano Magni

Abstract read
In one paragraph

Article in Journal of theoretical biology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
–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

17 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  10. Evaluating Effects of Dynamic Interventions to Control COVID-19 Pandemic: A Case Study of Guangdong, China.International journal of environmental research and public health · 2022
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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

10 authors.

Françoise KempUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg. Electronic address: francoise.kemp@uni.lu.
Daniele ProverbioUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg. Electronic address: daniele.proverbio@uni.lu.
Atte AaltoUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg. Electronic address: atte.aalto@uni.lu.
Laurent MombaertsUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg. Electronic address: laurent.mombaerts@uni.lu.
Aymeric Fouquier d'HérouëlUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg. Electronic address: aymeric.dherouel@uni.lu.
Andreas HuschUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg. Electronic address: andreas.husch@uni.lu.
Christophe LeyUniversity of Ghent, Department of Applied Mathematics, Computer Science and Statistics, Krijgslaan 281-S9, 9000 Ghent, Belgium. Electronic address: christophe.ley@ugent.be.
Jorge GonçalvesUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg; University of Cambridge, Department of Plant Sciences, Downing St, Cambridge CB2 3EA, United Kingdom. Electronic address: jorge.goncalves@uni.lu.
Alexander SkupinUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg; University of California San Diego, 9500 Gilman Dr, La Jolla, CA 92093, United States. Electronic address: alexander.skupin@uni.lu.
Stefano MagniUniversity of Luxembourg, Luxembourg Centre for Systems Biomedicine, 6 Av. du Swing, 4367 Belvaux, Luxembourg. Electronic address: stefano.magni@uni.lu.

Funding

National Biomedical Computation Resource - Competitive Revision SupplementP41GM103426 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI AMARO, ROMMIE E · 2012 to 2019
$14.0M
NIGMS NIH HHS P41 GM103426
6 · The paper itself

Abstract

Against the COVID-19 pandemic, non-pharmaceutical interventions have been widely applied and vaccinations have taken off. The upcoming question is how the interplay between vaccinations and social measures will shape infections and hospitalizations. Hence, we extend the Susceptible-Exposed-Infectious-Removed (SEIR) model including these elements. We calibrate it to data of Luxembourg, Austria and Sweden until 15 December 2020. Sweden results having the highest fraction of undetected, Luxembourg of infected and all three being far from herd immunity in December. We quantify the level of social interaction, showing that a level around 1/3 of before the pandemic was still required in December to keep the effective reproduction number R

Indexed as

COVID-19Immunity, HerdAustriaHumansLuxembourgPandemicsSARS-CoV-2SwedenVaccinationBayesian inferenceCross-country comparisonHealthcare systemMarkov Chain Monte CarloSEIR model

Identifiers

PMID34425136
PMCPMC8378986

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.