Evidence map›Paper›PMID 35607290›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Control of COVID-19 Outbreaks under Stochastic Community Dynamics, Bimodality, or Limited Vaccination.

Björn Goldenbogen, Stephan O Adler, Oliver Bodeit, Judith A H Wodke, Ximena Escalera-Fanjul, Aviv Korman, Maria Krantz, Lasse Bonn, Rafael Morán-Torres, Johanna E L Haffner and 8 more

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

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

  1. Pooled it
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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

18 authors.

Björn GoldenbogenTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.ORCID 0000-0002-1456-5278
Stephan O AdlerTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Oliver BodeitTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Judith A H WodkeTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Ximena Escalera-FanjulTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Aviv KormanTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Maria KrantzTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Lasse BonnTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Rafael Morán-TorresTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Johanna E L HaffnerTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Maxim KarnetzkiTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Ivo MaintzTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Lisa MallisTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Hannah PrawitzTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Patrick S SegelitzTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Martin SeegerTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.
Rune LindingTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.ORCID 0000-0003-0420-4839
Edda KlippTheoretical Biophysics, Humboldt-Universität zu Berlin, Invalidenstr. 42, Berlin, 10115, Germany.ORCID 0000-0002-0567-7075

Funding

Bundesministerium für Bildung und Forschung 031B0988Bundesministerium für Bildung und Forschung 031L0034CONACYT CVU 420248Deutsche Forschungsgemeinschaft EXC-2046/1 ID 390685689Deutsche Forschungsgemeinschaft IRTG2290Deutsche Forschungsgemeinschaft TRR175European Union's Horizon 2020 Programme 813979 Secreters
6 · The paper itself

Abstract

Reaching population immunity against COVID-19 is proving difficult even in countries with high vaccination levels. Thus, it is critical to identify limits of control and effective measures against future outbreaks. The effects of nonpharmaceutical interventions (NPIs) and vaccination strategies are analyzed with a detailed community-specific agent-based model (ABM). The authors demonstrate that the threshold for population immunity is not a unique number, but depends on the vaccination strategy. Prioritizing highly interactive people diminishes the risk for an infection wave, while prioritizing the elderly minimizes fatalities when vaccinations are low. Control over COVID-19 outbreaks requires adaptive combination of NPIs and targeted vaccination, exemplified for Germany for January-September 2021. Bimodality emerges from the heterogeneity and stochasticity of community-specific human-human interactions and infection networks, which can render the effects of limited NPIs uncertain. The authors' simulation platform can process and analyze dynamic COVID-19 epidemiological situations in diverse communities worldwide to predict pathways to population immunity even with limited vaccination.

Indexed as

COVID-19AgedComputer SimulationDisease OutbreaksGermanyHumansVaccinationbimodalityCOVID-19epidemiologyrespiratory diseasesstochastic agent-based modeling

Identifiers

PMID35607290
PMCPMC9348421

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.